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<rss xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:podcast="https://podcastindex.org/namespace/1.0" version="2.0"><channel><title>Podcast</title><link>https://podcast.koala-chameleon.ts.net/episodes</link><description>Generated by podcast-maker. An engaging podcast covering technology, science, and more.An engaging podcast covering technology, science, and more.An engaging podcast covering technology, science, and mo</description><atom:link href="https://podcast.koala-chameleon.ts.net/episodes/feed.xml" rel="self" type="application/rss+xml" /><language>en-us</language><itunes:author>Podcast Maker</itunes:author><itunes:summary>Generated by podcast-maker. An engaging podcast covering technology, science, and more.An engaging podcast covering technology, science, and more.An engaging podcast covering technology, science, and mo</itunes:summary><itunes:explicit>false</itunes:explicit><itunes:type>episodic</itunes:type><itunes:keywords>technology, AI, podcast, automation, scripting</itunes:keywords><itunes:owner><itunes:name>Podcast Maker</itunes:name><itunes:email>podcasts@example.com</itunes:email></itunes:owner><itunes:category text="Technology" /><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:guid>c2f811cd-7814-4b02-87ea-9ba5802d0a5b</podcast:guid><podcast:locked owner="podcasts@example.com">yes</podcast:locked><item><title>Your Local LLM Is Wasting RAM on Unused Context—and One Setting Fixes It</title><description>A deep dive into how Ollama, LM Studio, and llama.cpp reserve RAM for context windows you never use, and how adjusting a single setting can free up gigabytes for other tasks. We break down the KV cache, cache quantization, and practical steps to optimize memory without sacrificing performance.

Open Ollama’s API or terminal, check your `prompt_eval_count` and `eval_count` from recent conversations, then set your context window to the highest value you actually need—start with 8K—and test the memory savings.</description><pubDate>Wed, 07 Oct 2026 17:36:03 GMT</pubDate><link>https://www.xda-developers.com/local-llm-wasting-ram-context-never-use-one-setting-gives-back/</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.xda-developers.com-local-llm-wasting-ram-context-never-use-one-setting-gives-56938a99d0</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-07-podcast-your-local-llm-is-wasting-ram-on-unused-context-and-one-setting-fixes-it.mp3" type="audio/mpeg" length="2661786" /><itunes:subtitle>A deep dive into how Ollama, LM Studio, and llama.cpp reserve RAM for context windows you never use, and how adjusting a single setting can free up gigabytes for other tasks. We break down the KV cache, cache quantization, and practical steps to optimize </itunes:subtitle><itunes:summary>A deep dive into how Ollama, LM Studio, and llama.cpp reserve RAM for context windows you never use, and how adjusting a single setting can free up gigabytes for other tasks. We break down the KV cache, cache quantization, and practical steps to optimize memory without sacrificing performance.</itunes:summary><itunes:duration>166</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into how Ollama, LM Studio, and llama.cpp reserve RAM for context windows you never use, and how adjusting a single setting can free up gigabytes for other tasks. We break down the KV cache, cache quantization, and practical steps to optimize memory without sacrificing performance.

Open Ollama’s API or terminal, check your `prompt_eval_count` and `eval_count` from recent conversations, then set your context window to the highest value you actually need—start with 8K—and test the memory savings.

Show notes:

- Original article: https://www.xda-developers.com/local-llm-wasting-ram-context-never-use-one-setting-gives-back/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-10-07-podcast-your-local-llm-is-wasting-ram-on-unused-context-and-one-setting-fixes-it.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-07-podcast-your-local-llm-is-wasting-ram-on-unused-context-and-one-setting-fixes-it.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.xda-developers.com/local-llm-wasting-ram-context-never-use-one-setting-gives-back/" /></item><item><title>Your Local LLM Is Wasting RAM on Unused Context—and One Setting Fixes It</title><description>A deep dive into how Ollama, LM Studio, and llama.cpp reserve RAM for context windows you never use, and how adjusting a single setting can free up gigabytes for other tasks. We break down the KV cache, cache quantization, and practical steps to optimize memory without sacrificing performance.

Open Ollama’s API or terminal, check your `prompt_eval_count` and `eval_count` from recent conversations, then set your context window to the highest value you actually need—start with 8K—and test the memory savings.</description><pubDate>Wed, 07 Oct 2026 17:36:03 GMT</pubDate><link>https://s3.milet.be/podcasts/episodes/2026-10-07-podcast-your-local-llm-is-wasting-ram-on-unused-context-and-one-setting-fixes-it.mp3</link><category>General IT &amp; Software</category><guid isPermaLink="false">https://s3.milet.be/podcasts/episodes/2026-10-07-podcast-your-local-llm-is-wasting-ram-on-unused-context-and-one-setting-fixes-it.mp3</guid><enclosure url="https://s3.milet.be/podcasts/episodes/2026-10-07-podcast-your-local-llm-is-wasting-ram-on-unused-context-and-one-setting-fixes-it.mp3" type="audio/mpeg" length="0" /><itunes:subtitle>A deep dive into how Ollama, LM Studio, and llama.cpp reserve RAM for context windows you never use, and how adjusting a single setting can free up gigabytes for other tasks. We break down the KV cache, cache quantization, and practical steps to optimize </itunes:subtitle><itunes:summary>A deep dive into how Ollama, LM Studio, and llama.cpp reserve RAM for context windows you never use, and how adjusting a single setting can free up gigabytes for other tasks. We break down the KV cache, cache quantization, and practical steps to optimize memory without sacrificing performance.</itunes:summary><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:image href="https://s3.milet.be/podcasts/8cc4eb0c-92e9-4531-846e-d77a26e6f024/podcast-cover.jpg" /></item><item><title>Two Proxmox Settings That Instantly Fixed My VM Lag</title><description>A home lab enthusiast and a senior sysadmin discuss how tweaking CPU and display settings in Proxmox can drastically improve VM performance, especially for desktop use. They explore the tradeoffs, practical steps, and why the defaults exist.

Open your Proxmox web UI, edit a VM’s hardware settings, switch CPU to 'host' (for Linux) or 'x86-64-v3' (for broader compatibility), and set display to SPICE. Test the performance difference in a desktop workload like web browsing or file extraction.</description><pubDate>Mon, 05 Oct 2026 14:24:30 GMT</pubDate><link>https://www.xda-developers.com/i-tweaked-my-proxmox-host-settings-and-suddenly-my-vms-stopped-lagging/</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.xda-developers.com-i-tweaked-my-proxmox-host-settings-and-suddenly-my-vms-st-fbf9dfa75a</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-05-podcast-two-proxmox-settings-that-instantly-fixed-my-vm-lag.mp3" type="audio/mpeg" length="2579872" /><itunes:subtitle>A home lab enthusiast and a senior sysadmin discuss how tweaking CPU and display settings in Proxmox can drastically improve VM performance, especially for desktop use. They explore the tradeoffs, practical steps, and why the defaults exist.</itunes:subtitle><itunes:summary>A home lab enthusiast and a senior sysadmin discuss how tweaking CPU and display settings in Proxmox can drastically improve VM performance, especially for desktop use. They explore the tradeoffs, practical steps, and why the defaults exist.</itunes:summary><itunes:duration>161</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A home lab enthusiast and a senior sysadmin discuss how tweaking CPU and display settings in Proxmox can drastically improve VM performance, especially for desktop use. They explore the tradeoffs, practical steps, and why the defaults exist.

Open your Proxmox web UI, edit a VM’s hardware settings, switch CPU to 'host' (for Linux) or 'x86-64-v3' (for broader compatibility), and set display to SPICE. Test the performance difference in a desktop workload like web browsing or file extraction.

Show notes:

- Original article: https://www.xda-developers.com/i-tweaked-my-proxmox-host-settings-and-suddenly-my-vms-stopped-lagging/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-10-05-podcast-two-proxmox-settings-that-instantly-fixed-my-vm-lag.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-05-podcast-two-proxmox-settings-that-instantly-fixed-my-vm-lag.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.xda-developers.com/i-tweaked-my-proxmox-host-settings-and-suddenly-my-vms-stopped-lagging/" /></item><item><title>Two Proxmox Settings That Instantly Fixed My VM Lag</title><description>A home lab enthusiast and a senior sysadmin discuss how tweaking CPU and display settings in Proxmox can drastically improve VM performance, especially for desktop use. They explore the tradeoffs, practical steps, and why the defaults exist.

Open your Proxmox web UI, edit a VM’s hardware settings, switch CPU to 'host' (for Linux) or 'x86-64-v3' (for broader compatibility), and set display to SPICE. Test the performance difference in a desktop workload like web browsing or file extraction.</description><pubDate>Mon, 05 Oct 2026 14:24:30 GMT</pubDate><link>https://s3.milet.be/podcasts/episodes/2026-10-05-podcast-two-proxmox-settings-that-instantly-fixed-my-vm-lag.mp3</link><category>General IT &amp; Software</category><guid isPermaLink="false">https://s3.milet.be/podcasts/episodes/2026-10-05-podcast-two-proxmox-settings-that-instantly-fixed-my-vm-lag.mp3</guid><enclosure url="https://s3.milet.be/podcasts/episodes/2026-10-05-podcast-two-proxmox-settings-that-instantly-fixed-my-vm-lag.mp3" type="audio/mpeg" length="0" /><itunes:subtitle>A home lab enthusiast and a senior sysadmin discuss how tweaking CPU and display settings in Proxmox can drastically improve VM performance, especially for desktop use. They explore the tradeoffs, practical steps, and why the defaults exist.

Open your Pr</itunes:subtitle><itunes:summary>A home lab enthusiast and a senior sysadmin discuss how tweaking CPU and display settings in Proxmox can drastically improve VM performance, especially for desktop use. They explore the tradeoffs, practical steps, and why the defaults exist.</itunes:summary><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:image href="https://s3.milet.be/podcasts/podcast-cover.jpg" /></item><item><title>7 ZFS Things I Wish I'd Known Before Using It on Proxmox</title><description>A deep dive into the quirks and practical considerations of using ZFS storage in Proxmox, from thin provisioning pitfalls to snapshot space consumption and memory usage. Brandon Lee shares hard-won lessons to help you avoid surprises in your home lab or production environment.

Run `zfs list -t volume -o name,volsize,used,refer,refreservation` on your Proxmox host to check for unexpected disk reservations, enable thin provisioning in storage settings, and remove reservations with `zfs set refreservation=none` for existing volumes. Audit snapshots to reclaim space.</description><pubDate>Mon, 05 Oct 2026 10:36:32 GMT</pubDate><link>https://www.virtualizationhowto.com/2026/10/7-zfs-things-i-wish-id-known-before-using-it-on-proxmox/</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.virtualizationhowto.com-2026-10-7-zfs-things-i-wish-id-known-before-using-it-198b495509</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-05-podcast-7-zfs-things-i-wish-i-d-known-before-using-it-on-proxmox.mp3" type="audio/mpeg" length="3622560" /><itunes:subtitle>A deep dive into the quirks and practical considerations of using ZFS storage in Proxmox, from thin provisioning pitfalls to snapshot space consumption and memory usage. Brandon Lee shares hard-won lessons to help you avoid surprises in your home lab or p</itunes:subtitle><itunes:summary>A deep dive into the quirks and practical considerations of using ZFS storage in Proxmox, from thin provisioning pitfalls to snapshot space consumption and memory usage. Brandon Lee shares hard-won lessons to help you avoid surprises in your home lab or production environment.</itunes:summary><itunes:duration>226</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into the quirks and practical considerations of using ZFS storage in Proxmox, from thin provisioning pitfalls to snapshot space consumption and memory usage. Brandon Lee shares hard-won lessons to help you avoid surprises in your home lab or production environment.

Run `zfs list -t volume -o name,volsize,used,refer,refreservation` on your Proxmox host to check for unexpected disk reservations, enable thin provisioning in storage settings, and remove reservations with `zfs set refreservation=none` for existing volumes. Audit snapshots to reclaim space.

Show notes:

- Original article: https://www.virtualizationhowto.com/2026/10/7-zfs-things-i-wish-id-known-before-using-it-on-proxmox/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-10-05-podcast-7-zfs-things-i-wish-i-d-known-before-using-it-on-proxmox.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-05-podcast-7-zfs-things-i-wish-i-d-known-before-using-it-on-proxmox.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.virtualizationhowto.com/2026/10/7-zfs-things-i-wish-id-known-before-using-it-on-proxmox/" /></item><item><title>Python 3.15: Cool New Features for You to Try</title><description>Explore the latest features in Python 3.15, including lazy imports, frozendict, sentinel values, TypeForm, a sampling profiler, smarter error messages, UTF-8 by default, and an upgraded JIT compiler. Learn how these improvements can enhance your workflow and code efficiency.

Try Python 3.15 today by running `uv run --python 3.15 python` in your terminal and experiment with lazy imports, frozendict, or the new sampling profiler.</description><pubDate>Fri, 02 Oct 2026 20:40:19 GMT</pubDate><link>https://realpython.com/python315-new-features/</link><category>General IT &amp; Software</category><guid isPermaLink="false">realpython.com-python315-new-features--48b101eb07</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-02-podcast-python-3-15-cool-new-features-for-you-to-try.mp3" type="audio/mpeg" length="5224770" /><itunes:subtitle>Explore the latest features in Python 3.15, including lazy imports, frozendict, sentinel values, TypeForm, a sampling profiler, smarter error messages, UTF-8 by default, and an upgraded JIT compiler. Learn how these improvements can enhance your workflow </itunes:subtitle><itunes:summary>Explore the latest features in Python 3.15, including lazy imports, frozendict, sentinel values, TypeForm, a sampling profiler, smarter error messages, UTF-8 by default, and an upgraded JIT compiler. Learn how these improvements can enhance your workflow and code efficiency.</itunes:summary><itunes:duration>326</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Explore the latest features in Python 3.15, including lazy imports, frozendict, sentinel values, TypeForm, a sampling profiler, smarter error messages, UTF-8 by default, and an upgraded JIT compiler. Learn how these improvements can enhance your workflow and code efficiency.

Try Python 3.15 today by running `uv run --python 3.15 python` in your terminal and experiment with lazy imports, frozendict, or the new sampling profiler.

Show notes:

- Original article: https://realpython.com/python315-new-features/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-10-02-podcast-python-3-15-cool-new-features-for-you-to-try.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-02-podcast-python-3-15-cool-new-features-for-you-to-try.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://realpython.com/python315-new-features/" /></item><item><title>Quantum Entanglement at Room Temperature: A Tiny Glass Speck and Light</title><description>Physicists have achieved a groundbreaking milestone by quantum-entangling a levitating speck of glass with light at room temperature. This experiment opens new possibilities for quantum communication and tests of quantum physics, all without the need for cryogenic cooling. Join us as we explore how a nanoparticle, trapped in a laser beam, reveals the counterintuitive world of quantum mechanics.

Read the full study in Science magazine and explore how quantum entanglement at room temperature could shape the future of secure communication and quantum networks.</description><pubDate>Fri, 02 Oct 2026 00:59:14 GMT</pubDate><link>https://www.sciencealert.com/physicists-quantum-entangled-a-levitating-speck-of-glass-with-light-at-room-temperature</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.sciencealert.com-physicists-quantum-entangled-a-levitating-speck-of-glass-wi-28008ca324</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-02-podcast-quantum-entanglement-at-room-temperature-a-tiny-glass-speck-and-light.mp3" type="audio/mpeg" length="2079311" /><itunes:subtitle>Physicists have achieved a groundbreaking milestone by quantum-entangling a levitating speck of glass with light at room temperature. This experiment opens new possibilities for quantum communication and tests of quantum physics, all without the need for </itunes:subtitle><itunes:summary>Physicists have achieved a groundbreaking milestone by quantum-entangling a levitating speck of glass with light at room temperature. This experiment opens new possibilities for quantum communication and tests of quantum physics, all without the need for cryogenic cooling. Join us as we explore how a nanoparticle, trapped in a laser beam, reveals the counterintuitive world of quantum mechanics.</itunes:summary><itunes:duration>130</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Physicists have achieved a groundbreaking milestone by quantum-entangling a levitating speck of glass with light at room temperature. This experiment opens new possibilities for quantum communication and tests of quantum physics, all without the need for cryogenic cooling. Join us as we explore how a nanoparticle, trapped in a laser beam, reveals the counterintuitive world of quantum mechanics.

Read the full study in Science magazine and explore how quantum entanglement at room temperature could shape the future of secure communication and quantum networks.

Show notes:

- Original article: https://www.sciencealert.com/physicists-quantum-entangled-a-levitating-speck-of-glass-with-light-at-room-temperature

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-10-02-podcast-quantum-entanglement-at-room-temperature-a-tiny-glass-speck-and-light.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-02-podcast-quantum-entanglement-at-room-temperature-a-tiny-glass-speck-and-light.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.sciencealert.com/physicists-quantum-entangled-a-levitating-speck-of-glass-with-light-at-room-temperature" /></item><item><title>Your AI Agent Can Now Scrape Almost Any Website</title><description>Three new open-source tools—Agent-Reach, Patchright Enhanced, and Scrapling—give AI agents the power to extract data from X, YouTube, Reddit, and even API-less sites. We break down how they work, what they unlock, and why this changes automation forever.

Pick one of the three tools from the show notes, give your AI agent a small scraping task, and see what it can extract for you.</description><pubDate>Thu, 01 Oct 2026 20:36:42 GMT</pubDate><link>https://x.com/liambraus/status/2105292404764852424</link><category>Smart Home &amp; IoT</category><guid isPermaLink="false">x.com-liambraus-status-2105292404764852424-16f3eed53a</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-your-ai-agent-can-now-scrape-almost-any-website.mp3" type="audio/mpeg" length="2195167" /><itunes:subtitle>Three new open-source tools—Agent-Reach, Patchright Enhanced, and Scrapling—give AI agents the power to extract data from X, YouTube, Reddit, and even API-less sites. We break down how they work, what they unlock, and why this changes automation forever.</itunes:subtitle><itunes:summary>Three new open-source tools—Agent-Reach, Patchright Enhanced, and Scrapling—give AI agents the power to extract data from X, YouTube, Reddit, and even API-less sites. We break down how they work, what they unlock, and why this changes automation forever.</itunes:summary><itunes:duration>137</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Three new open-source tools—Agent-Reach, Patchright Enhanced, and Scrapling—give AI agents the power to extract data from X, YouTube, Reddit, and even API-less sites. We break down how they work, what they unlock, and why this changes automation forever.

Pick one of the three tools from the show notes, give your AI agent a small scraping task, and see what it can extract for you.

Show notes:

- Original article: https://x.com/liambraus/status/2105292404764852424

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-your-ai-agent-can-now-scrape-almost-any-website.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-your-ai-agent-can-now-scrape-almost-any-website.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/liambraus/status/2105292404764852424" /></item><item><title>How to Cut Your Agent Bill by 90% With Jev Engineering and Kimi K3</title><description>Explore the explosion of Jev-based projects—from browser agents to trading bots—and how to leverage them to slash costs while boosting agent performance. A practical guide to routing, confidence calibration, and handing tough cases to Kimi K3.

Pick one Jev project from the list, integrate it into your workflow this week, and measure the cost savings on your next agent run.</description><pubDate>Thu, 01 Oct 2026 01:08:06 GMT</pubDate><link>https://x.com/polydao/status/2105229163401756842</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">x.com-polydao-status-2105229163401756842-893e7c4f21</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-how-to-cut-your-agent-bill-by-90-with-jev-engineering-and-kimi-k3.mp3" type="audio/mpeg" length="2386048" /><itunes:subtitle>Explore the explosion of Jev-based projects—from browser agents to trading bots—and how to leverage them to slash costs while boosting agent performance. A practical guide to routing, confidence calibration, and handing tough cases to Kimi K3.</itunes:subtitle><itunes:summary>Explore the explosion of Jev-based projects—from browser agents to trading bots—and how to leverage them to slash costs while boosting agent performance. A practical guide to routing, confidence calibration, and handing tough cases to Kimi K3.</itunes:summary><itunes:duration>149</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Explore the explosion of Jev-based projects—from browser agents to trading bots—and how to leverage them to slash costs while boosting agent performance. A practical guide to routing, confidence calibration, and handing tough cases to Kimi K3.

Pick one Jev project from the list, integrate it into your workflow this week, and measure the cost savings on your next agent run.

Show notes:

- Original article: https://x.com/polydao/status/2105229163401756842

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-how-to-cut-your-agent-bill-by-90-with-jev-engineering-and-kimi-k3.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-how-to-cut-your-agent-bill-by-90-with-jev-engineering-and-kimi-k3.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/polydao/status/2105229163401756842" /></item><item><title>Hyperresearch: The 16-Step AI Loop That Builds a Second Brain for Your Business</title><description>A deep dive into Hyperresearch, a project that transforms a single prompt into a rigorous 16-step research loop—breaking down questions, mapping contradictions, drafting from multiple angles, and validating every citation. We explore its design, practical applications, and why it might just be the 'second brain' your business needs.

Try Hyperresearch's fast tier on a real business question, compare the output to your current process, and decide if it is the second brain your workflow needs.</description><pubDate>Thu, 01 Oct 2026 01:04:20 GMT</pubDate><link>https://x.com/beamnxw/status/2105202083834081743</link><category>Science &amp; Research</category><guid isPermaLink="false">x.com-beamnxw-status-2105202083834081743-baba01c5a4</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-hyperresearch-the-16-step-ai-loop-that-builds-a-second-brain-for-your-business.mp3" type="audio/mpeg" length="2186014" /><itunes:subtitle>A deep dive into Hyperresearch, a project that transforms a single prompt into a rigorous 16-step research loop—breaking down questions, mapping contradictions, drafting from multiple angles, and validating every citation. We explore its design, practical</itunes:subtitle><itunes:summary>A deep dive into Hyperresearch, a project that transforms a single prompt into a rigorous 16-step research loop—breaking down questions, mapping contradictions, drafting from multiple angles, and validating every citation. We explore its design, practical applications, and why it might just be the 'second brain' your business needs.</itunes:summary><itunes:duration>137</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into Hyperresearch, a project that transforms a single prompt into a rigorous 16-step research loop—breaking down questions, mapping contradictions, drafting from multiple angles, and validating every citation. We explore its design, practical applications, and why it might just be the 'second brain' your business needs.

Try Hyperresearch's fast tier on a real business question, compare the output to your current process, and decide if it is the second brain your workflow needs.

Show notes:

- Original article: https://x.com/beamnxw/status/2105202083834081743

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-hyperresearch-the-16-step-ai-loop-that-builds-a-second-brain-for-your-business.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-hyperresearch-the-16-step-ai-loop-that-builds-a-second-brain-for-your-business.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/beamnxw/status/2105202083834081743" /></item><item><title>Ori Eval: Find the Best Model for What You're Building</title><description>A deep dive into Ori Eval, a tool that helps developers systematically evaluate and select the best AI model for their specific use case—without prior eval experience. Learn how it automates testing, blocks regressions, and adapts as new models emerge.

Run `curl -fsSL https://openrouter.ai/skills/spawn-ori-eval` in your coding agent today, and let Ori Eval write your first model comparison test.</description><pubDate>Thu, 01 Oct 2026 01:01:21 GMT</pubDate><link>https://openrouter.ai/blog/announcements/ori-eval/</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">openrouter.ai-blog-announcements-ori-eval--389346b623</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-ori-eval-find-the-best-model-for-what-you-re-building.mp3" type="audio/mpeg" length="2149801" /><itunes:subtitle>A deep dive into Ori Eval, a tool that helps developers systematically evaluate and select the best AI model for their specific use case—without prior eval experience. Learn how it automates testing, blocks regressions, and adapts as new models emerge.</itunes:subtitle><itunes:summary>A deep dive into Ori Eval, a tool that helps developers systematically evaluate and select the best AI model for their specific use case—without prior eval experience. Learn how it automates testing, blocks regressions, and adapts as new models emerge.</itunes:summary><itunes:duration>134</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into Ori Eval, a tool that helps developers systematically evaluate and select the best AI model for their specific use case—without prior eval experience. Learn how it automates testing, blocks regressions, and adapts as new models emerge.

Run `curl -fsSL https://openrouter.ai/skills/spawn-ori-eval` in your coding agent today, and let Ori Eval write your first model comparison test.

Show notes:

- Original article: https://openrouter.ai/blog/announcements/ori-eval/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-ori-eval-find-the-best-model-for-what-you-re-building.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-ori-eval-find-the-best-model-for-what-you-re-building.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://openrouter.ai/blog/announcements/ori-eval/" /></item><item><title>Qwen 27B on 6GB VRAM: Does Bonsai 2 Really Deliver 98% Performance?</title><description>PrismML claims Bonsai 2 retains 98% of Qwen3.8 27B's performance in a 6GB file. We put it to the test in short tasks and long agentic builds—with surprising results. Explore how ternary compression works, where benchmarks succeed and fail, and what to watch for in agent traces before trusting a compressed model.

Run a short agentic test with a pass-fail checklist, then inspect the traces for loops or wasted steps before trusting a compressed model with real work.</description><pubDate>Thu, 01 Oct 2026 00:58:17 GMT</pubDate><link>https://youtu.be/jxOOiNUB9DQ?is=96G2gCZlQ5i4cVjG</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">youtu.be-jxooinub9dq-is-96g2gczlq5i4cvjg-a362c92a51</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-qwen-27b-on-6gb-vram-does-bonsai-2-really-deliver-98-performance.mp3" type="audio/mpeg" length="2796980" /><itunes:subtitle>PrismML claims Bonsai 2 retains 98% of Qwen3.8 27B's performance in a 6GB file. We put it to the test in short tasks and long agentic builds—with surprising results. Explore how ternary compression works, where benchmarks succeed and fail, and what to wat</itunes:subtitle><itunes:summary>PrismML claims Bonsai 2 retains 98% of Qwen3.8 27B's performance in a 6GB file. We put it to the test in short tasks and long agentic builds—with surprising results. Explore how ternary compression works, where benchmarks succeed and fail, and what to watch for in agent traces before trusting a compressed model.</itunes:summary><itunes:duration>175</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>PrismML claims Bonsai 2 retains 98% of Qwen3.8 27B's performance in a 6GB file. We put it to the test in short tasks and long agentic builds—with surprising results. Explore how ternary compression works, where benchmarks succeed and fail, and what to watch for in agent traces before trusting a compressed model.

Run a short agentic test with a pass-fail checklist, then inspect the traces for loops or wasted steps before trusting a compressed model with real work.

Show notes:

- Original article: https://youtu.be/jxOOiNUB9DQ?is=96G2gCZlQ5i4cVjG

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-qwen-27b-on-6gb-vram-does-bonsai-2-really-deliver-98-performance.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-qwen-27b-on-6gb-vram-does-bonsai-2-really-deliver-98-performance.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://youtu.be/jxOOiNUB9DQ?is=96G2gCZlQ5i4cVjG" /></item><item><title>SuperWhisper s1-mini: The 600M-Parameter Model Built Just for Transcription</title><description>A deep dive into SuperWhisper's S1-mini, a 596-million-parameter model designed exclusively for transcript cleanup. Explores its ruthlessly obedient design, performance benchmarks, and how it compares to broader models and its own siblings, S1-Voice and S1-Language.

Disable Qwen3’s thinking mode and test S1-mini on your next ASR transcript—compare its cleanup speed and accuracy to your current workflow.</description><pubDate>Thu, 01 Oct 2026 00:54:51 GMT</pubDate><link>https://www.kdnuggets.com/superwhisper-s1-mini-the-600m-parameter-model-built-just-for-transcription</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.kdnuggets.com-superwhisper-s1-mini-the-600m-parameter-model-built-just-for-t-3bb2c52def</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-superwhisper-s1-mini-the-600m-parameter-model-built-just-for-transcription.mp3" type="audio/mpeg" length="2796152" /><itunes:subtitle>A deep dive into SuperWhisper's S1-mini, a 596-million-parameter model designed exclusively for transcript cleanup. Explores its ruthlessly obedient design, performance benchmarks, and how it compares to broader models and its own siblings, S1-Voice and S</itunes:subtitle><itunes:summary>A deep dive into SuperWhisper's S1-mini, a 596-million-parameter model designed exclusively for transcript cleanup. Explores its ruthlessly obedient design, performance benchmarks, and how it compares to broader models and its own siblings, S1-Voice and S1-Language.</itunes:summary><itunes:duration>175</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into SuperWhisper's S1-mini, a 596-million-parameter model designed exclusively for transcript cleanup. Explores its ruthlessly obedient design, performance benchmarks, and how it compares to broader models and its own siblings, S1-Voice and S1-Language.

Disable Qwen3’s thinking mode and test S1-mini on your next ASR transcript—compare its cleanup speed and accuracy to your current workflow.

Show notes:

- Original article: https://www.kdnuggets.com/superwhisper-s1-mini-the-600m-parameter-model-built-just-for-transcription

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-superwhisper-s1-mini-the-600m-parameter-model-built-just-for-transcription.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-superwhisper-s1-mini-the-600m-parameter-model-built-just-for-transcription.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.kdnuggets.com/superwhisper-s1-mini-the-600m-parameter-model-built-just-for-transcription" /></item><item><title>GLM-5.3 and the Spread of Advanced Cyber Capabilities</title><description>A deep dive into how GLM-5.3, an open-weight AI model from Zhipu AI, is reshaping the cyber threat landscape. We analyze its ability to autonomously develop end-to-end cyber exploits, the ease of bypassing its safeguards, and what this means for attackers and defenders alike.

Cyber defenders: Test your systems against GLM-5.3’s capabilities today. Assume attackers are already leveraging it—because they are.</description><pubDate>Thu, 01 Oct 2026 00:51:42 GMT</pubDate><link>https://www.anthropic.com/research/glm-5-3-and-the-spread-of-advanced-cyber-capabilities</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.anthropic.com-research-glm-5-3-and-the-spread-of-advanced-cyber-capabilities-8085e5d6e4</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-glm-5-3-and-the-spread-of-advanced-cyber-capabilities.mp3" type="audio/mpeg" length="2587201" /><itunes:subtitle>A deep dive into how GLM-5.3, an open-weight AI model from Zhipu AI, is reshaping the cyber threat landscape. We analyze its ability to autonomously develop end-to-end cyber exploits, the ease of bypassing its safeguards, and what this means for attackers</itunes:subtitle><itunes:summary>A deep dive into how GLM-5.3, an open-weight AI model from Zhipu AI, is reshaping the cyber threat landscape. We analyze its ability to autonomously develop end-to-end cyber exploits, the ease of bypassing its safeguards, and what this means for attackers and defenders alike.</itunes:summary><itunes:duration>162</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into how GLM-5.3, an open-weight AI model from Zhipu AI, is reshaping the cyber threat landscape. We analyze its ability to autonomously develop end-to-end cyber exploits, the ease of bypassing its safeguards, and what this means for attackers and defenders alike.

Cyber defenders: Test your systems against GLM-5.3’s capabilities today. Assume attackers are already leveraging it—because they are.

Show notes:

- Original article: https://www.anthropic.com/research/glm-5-3-and-the-spread-of-advanced-cyber-capabilities

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-glm-5-3-and-the-spread-of-advanced-cyber-capabilities.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-glm-5-3-and-the-spread-of-advanced-cyber-capabilities.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.anthropic.com/research/glm-5-3-and-the-spread-of-advanced-cyber-capabilities" /></item><item><title>pgEdge's Starfleet: Agent Databases That Branch Without Merging</title><description>pgEdge's new Starfleet platform gives each AI coding agent its own Postgres branch, enabling parallel experimentation without proprietary storage layers. But how does it work, and why no merge? We break down the design, the tradeoffs, and the path from prototype to air-gapped production.

Try pgEdge Starfleet’s 14-day free trial: spin up two agents on the same task, compare their branches, then automate cleanup to hit your branch limit before the bill does.</description><pubDate>Thu, 01 Oct 2026 00:45:36 GMT</pubDate><link>https://thenewstack.io/pgedge-starfleet-postgres-branching/</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">thenewstack.io-pgedge-starfleet-postgres-branching--f036139887</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-pgedge-s-starfleet-agent-databases-that-branch-without-merging.mp3" type="audio/mpeg" length="3392916" /><itunes:subtitle>pgEdge's new Starfleet platform gives each AI coding agent its own Postgres branch, enabling parallel experimentation without proprietary storage layers. But how does it work, and why no merge? We break down the design, the tradeoffs, and the path from pr</itunes:subtitle><itunes:summary>pgEdge's new Starfleet platform gives each AI coding agent its own Postgres branch, enabling parallel experimentation without proprietary storage layers. But how does it work, and why no merge? We break down the design, the tradeoffs, and the path from prototype to air-gapped production.</itunes:summary><itunes:duration>212</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>pgEdge's new Starfleet platform gives each AI coding agent its own Postgres branch, enabling parallel experimentation without proprietary storage layers. But how does it work, and why no merge? We break down the design, the tradeoffs, and the path from prototype to air-gapped production.

Try pgEdge Starfleet’s 14-day free trial: spin up two agents on the same task, compare their branches, then automate cleanup to hit your branch limit before the bill does.

Show notes:

- Original article: https://thenewstack.io/pgedge-starfleet-postgres-branching/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-pgedge-s-starfleet-agent-databases-that-branch-without-merging.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-10-01-podcast-pgedge-s-starfleet-agent-databases-that-branch-without-merging.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://thenewstack.io/pgedge-starfleet-postgres-branching/" /></item><item><title>AI Memory: 10 Open-Source Projects That Stop Agents from Forgetting Everything</title><description>A rapid-fire breakdown of the top open-source projects giving AI agents persistent memory—so they don’t treat you like a stranger every morning. Featuring Mem0, Hindsight, Cognee, and more, with practical builds for coding, personal agents, and company brains.

Pick a stack from the show notes, deploy it, and test whether your agent remembers your last conversation tomorrow.</description><pubDate>Mon, 28 Sep 2026 00:43:20 GMT</pubDate><link>https://x.com/Lummox_eth/status/2104218875810185287</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">x.com-lummox_eth-status-2104218875810185287-e23a5f1e5b</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-ai-memory-10-open-source-projects-that-stop-agents-from-forgetting-everything.mp3" type="audio/mpeg" length="2309631" /><itunes:subtitle>A rapid-fire breakdown of the top open-source projects giving AI agents persistent memory—so they don’t treat you like a stranger every morning. Featuring Mem0, Hindsight, Cognee, and more, with practical builds for coding, personal agents, and company br</itunes:subtitle><itunes:summary>A rapid-fire breakdown of the top open-source projects giving AI agents persistent memory—so they don’t treat you like a stranger every morning. Featuring Mem0, Hindsight, Cognee, and more, with practical builds for coding, personal agents, and company brains.</itunes:summary><itunes:duration>144</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A rapid-fire breakdown of the top open-source projects giving AI agents persistent memory—so they don’t treat you like a stranger every morning. Featuring Mem0, Hindsight, Cognee, and more, with practical builds for coding, personal agents, and company brains.

Pick a stack from the show notes, deploy it, and test whether your agent remembers your last conversation tomorrow.

Show notes:

- Original article: https://x.com/Lummox_eth/status/2104218875810185287

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-ai-memory-10-open-source-projects-that-stop-agents-from-forgetting-everything.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-ai-memory-10-open-source-projects-that-stop-agents-from-forgetting-everything.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/Lummox_eth/status/2104218875810185287" /></item><item><title>Why This Terminal File Manager Replaced My Default on Linux</title><description>A deep dive into superfile, a terminal-based file manager that mimics the familiarity of graphical tools while offering speed, keyboard-driven workflows, and cross-platform support. Hear why it might be the missing piece for your Linux—or even Windows or macOS—setup.

Install superfile from superfile.dev, run `spf` in your terminal, and try replacing your default file manager for a week.</description><pubDate>Mon, 28 Sep 2026 00:36:41 GMT</pubDate><link>https://www.howtogeek.com/i-finally-tried-this-modern-linux-file-manager/</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.howtogeek.com-i-finally-tried-this-modern-linux-file-manager--62a285c833</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-why-this-terminal-file-manager-replaced-my-default-on-linux.mp3" type="audio/mpeg" length="2564224" /><itunes:subtitle>A deep dive into superfile, a terminal-based file manager that mimics the familiarity of graphical tools while offering speed, keyboard-driven workflows, and cross-platform support. Hear why it might be the missing piece for your Linux—or even Windows or </itunes:subtitle><itunes:summary>A deep dive into superfile, a terminal-based file manager that mimics the familiarity of graphical tools while offering speed, keyboard-driven workflows, and cross-platform support. Hear why it might be the missing piece for your Linux—or even Windows or macOS—setup.</itunes:summary><itunes:duration>160</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into superfile, a terminal-based file manager that mimics the familiarity of graphical tools while offering speed, keyboard-driven workflows, and cross-platform support. Hear why it might be the missing piece for your Linux—or even Windows or macOS—setup.

Install superfile from superfile.dev, run `spf` in your terminal, and try replacing your default file manager for a week.

Show notes:

- Original article: https://www.howtogeek.com/i-finally-tried-this-modern-linux-file-manager/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-why-this-terminal-file-manager-replaced-my-default-on-linux.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-why-this-terminal-file-manager-replaced-my-default-on-linux.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.howtogeek.com/i-finally-tried-this-modern-linux-file-manager/" /></item><item><title>TaskView: Self-Hosted Workflow Automation for Dev Teams</title><description>Exploring TaskView, an open-source platform that unifies task management, custom workflows, and developer integrations—all self-hosted. We break down how it automates project operations, tracks dependencies, and keeps infrastructure control in your hands.

Spin up TaskView in a container using the GitHub repo and test it with your team’s workflows.</description><pubDate>Mon, 28 Sep 2026 00:36:16 GMT</pubDate><link>https://x.com/tom_doerr/status/2103494769875788101</link><category>General IT &amp; Software</category><guid isPermaLink="false">x.com-tom_doerr-status-2103494769875788101-bfa8a2b448</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-taskview-self-hosted-workflow-automation-for-dev-teams.mp3" type="audio/mpeg" length="1546926" /><itunes:subtitle>Exploring TaskView, an open-source platform that unifies task management, custom workflows, and developer integrations—all self-hosted. We break down how it automates project operations, tracks dependencies, and keeps infrastructure control in your hands.</itunes:subtitle><itunes:summary>Exploring TaskView, an open-source platform that unifies task management, custom workflows, and developer integrations—all self-hosted. We break down how it automates project operations, tracks dependencies, and keeps infrastructure control in your hands.</itunes:summary><itunes:duration>97</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Exploring TaskView, an open-source platform that unifies task management, custom workflows, and developer integrations—all self-hosted. We break down how it automates project operations, tracks dependencies, and keeps infrastructure control in your hands.

Spin up TaskView in a container using the GitHub repo and test it with your team’s workflows.

Show notes:

- Original article: https://x.com/tom_doerr/status/2103494769875788101

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-taskview-self-hosted-workflow-automation-for-dev-teams.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-taskview-self-hosted-workflow-automation-for-dev-teams.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/tom_doerr/status/2103494769875788101" /></item><item><title>Jev: Your LLM's Second Brain for Decision-Making</title><description>Discover how Jev, a System One model by TypeSafe AI, can slash costs and latency by handling decisions—like routing, scoring, and gating—while your LLM focuses on what it does best: research, drafting, and explaining. Learn practical use cases, guardrails, and how to wire a local router tonight.

Pick one repeated decision in your workflow this week, wire Jev to handle it, and measure the impact on cost and latency. Start small, then scale.</description><pubDate>Mon, 28 Sep 2026 00:34:24 GMT</pubDate><link>https://x.com/thegreatest_sv/status/2102802378378621355</link><category>AI &amp; Machine Learning</category><guid isPermaLink="false">x.com-thegreatest_sv-status-2102802378378621355-851592db97</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-jev-your-llm-s-second-brain-for-decision-making.mp3" type="audio/mpeg" length="3432824" /><itunes:subtitle>Discover how Jev, a System One model by TypeSafe AI, can slash costs and latency by handling decisions—like routing, scoring, and gating—while your LLM focuses on what it does best: research, drafting, and explaining. Learn practical use cases, guardrails</itunes:subtitle><itunes:summary>Discover how Jev, a System One model by TypeSafe AI, can slash costs and latency by handling decisions—like routing, scoring, and gating—while your LLM focuses on what it does best: research, drafting, and explaining. Learn practical use cases, guardrails, and how to wire a local router tonight.</itunes:summary><itunes:duration>214</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Discover how Jev, a System One model by TypeSafe AI, can slash costs and latency by handling decisions—like routing, scoring, and gating—while your LLM focuses on what it does best: research, drafting, and explaining. Learn practical use cases, guardrails, and how to wire a local router tonight.

Pick one repeated decision in your workflow this week, wire Jev to handle it, and measure the impact on cost and latency. Start small, then scale.

Show notes:

- Original article: https://x.com/thegreatest_sv/status/2102802378378621355

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-jev-your-llm-s-second-brain-for-decision-making.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-jev-your-llm-s-second-brain-for-decision-making.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/thegreatest_sv/status/2102802378378621355" /></item><item><title>Jev in the Agent Loop: How to Cut Costs and Latency by Separating Decisions from Generation</title><description>A deep dive into TypeSafe AI's Jev model, a decision-layer tool designed to replace expensive frontier model calls for routing, gating, and scoring in agent loops. Learn where Jev fits, how to implement it, and why separating decisions from generation slashes costs and latency without sacrificing performance.

Pick one high-frequency decision point in your agent loop, replace it with Jev using the TypeSafe SDK, and measure cost, time, and escalation accuracy for a week. Start with the TypeSafe Playground at console.typesafe.ai/playground.</description><pubDate>Mon, 28 Sep 2026 00:29:41 GMT</pubDate><link>https://x.com/N01ennn/status/2103542021071978601</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">x.com-n01ennn-status-2103542021071978601-d54dcd1aa5</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-jev-in-the-agent-loop-how-to-cut-costs-and-latency-by-separating-decisions-from-generation.mp3" type="audio/mpeg" length="3534768" /><itunes:subtitle>A deep dive into TypeSafe AI's Jev model, a decision-layer tool designed to replace expensive frontier model calls for routing, gating, and scoring in agent loops. Learn where Jev fits, how to implement it, and why separating decisions from generation sla</itunes:subtitle><itunes:summary>A deep dive into TypeSafe AI's Jev model, a decision-layer tool designed to replace expensive frontier model calls for routing, gating, and scoring in agent loops. Learn where Jev fits, how to implement it, and why separating decisions from generation slashes costs and latency without sacrificing performance.</itunes:summary><itunes:duration>221</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into TypeSafe AI's Jev model, a decision-layer tool designed to replace expensive frontier model calls for routing, gating, and scoring in agent loops. Learn where Jev fits, how to implement it, and why separating decisions from generation slashes costs and latency without sacrificing performance.

Pick one high-frequency decision point in your agent loop, replace it with Jev using the TypeSafe SDK, and measure cost, time, and escalation accuracy for a week. Start with the TypeSafe Playground at console.typesafe.ai/playground.

Show notes:

- Original article: https://x.com/N01ennn/status/2103542021071978601

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-jev-in-the-agent-loop-how-to-cut-costs-and-latency-by-separating-decisions-from-generation.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-jev-in-the-agent-loop-how-to-cut-costs-and-latency-by-separating-decisions-from-generation.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/N01ennn/status/2103542021071978601" /></item><item><title>The Solo Dev Who Outbuilt ElevenLabs: A 646-Language TTS Revolution</title><description>A deep dive into the open-source TTS tool that’s turning heads: 14 engines, 646 languages, zero costs, and all running locally. We break down how it works, why it matters, and what it means for creators, developers, and privacy advocates.

Try the open-source TTS tool for yourself: clone the GitHub repo, test voice cloning or multilingual dubbing on a small project, and compare the results to your current setup.</description><pubDate>Mon, 28 Sep 2026 00:25:12 GMT</pubDate><link>https://x.com/liambraus/status/2103825720807993573</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">x.com-liambraus-status-2103825720807993573-2eed7a7cb7</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-the-solo-dev-who-outbuilt-elevenlabs-a-646-language-tts-revolution.mp3" type="audio/mpeg" length="2709287" /><itunes:subtitle>A deep dive into the open-source TTS tool that’s turning heads: 14 engines, 646 languages, zero costs, and all running locally. We break down how it works, why it matters, and what it means for creators, developers, and privacy advocates.</itunes:subtitle><itunes:summary>A deep dive into the open-source TTS tool that’s turning heads: 14 engines, 646 languages, zero costs, and all running locally. We break down how it works, why it matters, and what it means for creators, developers, and privacy advocates.</itunes:summary><itunes:duration>169</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into the open-source TTS tool that’s turning heads: 14 engines, 646 languages, zero costs, and all running locally. We break down how it works, why it matters, and what it means for creators, developers, and privacy advocates.

Try the open-source TTS tool for yourself: clone the GitHub repo, test voice cloning or multilingual dubbing on a small project, and compare the results to your current setup.

Show notes:

- Original article: https://x.com/liambraus/status/2103825720807993573

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-the-solo-dev-who-outbuilt-elevenlabs-a-646-language-tts-revolution.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-28-podcast-the-solo-dev-who-outbuilt-elevenlabs-a-646-language-tts-revolution.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/liambraus/status/2103825720807993573" /></item><item><title>Wisp: A New Way to Manage Btrfs Snapshots in GNOME</title><description>A deep dive into Wisp, a new GNOME Shell extension that brings graphical Btrfs snapshot management to the desktop, making it easier for users to interact with Snapper without the command line.

Install Wisp from extensions.gnome.org and start managing your Btrfs snapshots graphically today.</description><pubDate>Sat, 26 Sep 2026 22:01:37 GMT</pubDate><link>https://www.phoronix.com/news/GNOME-Wisp-Btrfs-Snapshots</link><category>Linux &amp; Open Source</category><guid isPermaLink="false">www.phoronix.com-news-gnome-wisp-btrfs-snapshots-8091d0654f</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-26-podcast-wisp-a-new-way-to-manage-btrfs-snapshots-in-gnome.mp3" type="audio/mpeg" length="1964640" /><itunes:subtitle>A deep dive into Wisp, a new GNOME Shell extension that brings graphical Btrfs snapshot management to the desktop, making it easier for users to interact with Snapper without the command line.</itunes:subtitle><itunes:summary>A deep dive into Wisp, a new GNOME Shell extension that brings graphical Btrfs snapshot management to the desktop, making it easier for users to interact with Snapper without the command line.</itunes:summary><itunes:duration>123</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into Wisp, a new GNOME Shell extension that brings graphical Btrfs snapshot management to the desktop, making it easier for users to interact with Snapper without the command line.

Install Wisp from extensions.gnome.org and start managing your Btrfs snapshots graphically today.

Show notes:

- Original article: https://www.phoronix.com/news/GNOME-Wisp-Btrfs-Snapshots

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-26-podcast-wisp-a-new-way-to-manage-btrfs-snapshots-in-gnome.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-26-podcast-wisp-a-new-way-to-manage-btrfs-snapshots-in-gnome.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.phoronix.com/news/GNOME-Wisp-Btrfs-Snapshots" /></item><item><title>Claude Opus 5.5: More Natural or Just More Words?</title><description>Arena.ai's analysis of Claude Opus 5.5 reveals a shift toward more readable, human-like writing—but at what cost? We break down the tradeoffs in sentence length, punctuation, and the surprising rise of hedging language.

Next time you use Claude, compare Opus 5 and 5.5 side by side. Count the hedges, the punctuation, and the word length—and decide which feels more human to you.</description><pubDate>Sat, 26 Sep 2026 21:07:36 GMT</pubDate><link>https://x.com/arena/status/2103532528946839901</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">x.com-arena-status-2103532528946839901-91d50c6dfe</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-26-podcast-claude-opus-5-5-more-natural-or-just-more-words.mp3" type="audio/mpeg" length="1669746" /><itunes:subtitle>Arena.ai's analysis of Claude Opus 5.5 reveals a shift toward more readable, human-like writing—but at what cost? We break down the tradeoffs in sentence length, punctuation, and the surprising rise of hedging language.</itunes:subtitle><itunes:summary>Arena.ai's analysis of Claude Opus 5.5 reveals a shift toward more readable, human-like writing—but at what cost? We break down the tradeoffs in sentence length, punctuation, and the surprising rise of hedging language.</itunes:summary><itunes:duration>104</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Arena.ai's analysis of Claude Opus 5.5 reveals a shift toward more readable, human-like writing—but at what cost? We break down the tradeoffs in sentence length, punctuation, and the surprising rise of hedging language.

Next time you use Claude, compare Opus 5 and 5.5 side by side. Count the hedges, the punctuation, and the word length—and decide which feels more human to you.

Show notes:

- Original article: https://x.com/arena/status/2103532528946839901

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-26-podcast-claude-opus-5-5-more-natural-or-just-more-words.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-26-podcast-claude-opus-5-5-more-natural-or-just-more-words.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/arena/status/2103532528946839901" /></item><item><title>LangSmith Fine-Tuning: From Agent Traces to Custom Models in One Workflow</title><description>Discover how LangSmith's new `smithtune` CLI turns agent trajectories into fine-tuned models, streamlining training, evaluation, and deployment with partners Fireworks and Baseten. Learn when supervised fine-tuning makes sense, how data selection drives gains, and see real-world results from LangChain's internal tests.

Try `smithtune` on your own agent traces: install the CLI from GitHub, connect your LangSmith project, and run your first fine-tuning experiment this week.</description><pubDate>Sat, 26 Sep 2026 19:35:31 GMT</pubDate><link>https://www.langchain.com/blog/langsmith-fine-tuning</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.langchain.com-blog-langsmith-fine-tuning-9323f7b86f</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-26-podcast-langsmith-fine-tuning-from-agent-traces-to-custom-models-in-one-workflow.mp3" type="audio/mpeg" length="2780484" /><itunes:subtitle>Discover how LangSmith's new `smithtune` CLI turns agent trajectories into fine-tuned models, streamlining training, evaluation, and deployment with partners Fireworks and Baseten. Learn when supervised fine-tuning makes sense, how data selection drives g</itunes:subtitle><itunes:summary>Discover how LangSmith's new `smithtune` CLI turns agent trajectories into fine-tuned models, streamlining training, evaluation, and deployment with partners Fireworks and Baseten. Learn when supervised fine-tuning makes sense, how data selection drives gains, and see real-world results from LangChain's internal tests.</itunes:summary><itunes:duration>174</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Discover how LangSmith's new `smithtune` CLI turns agent trajectories into fine-tuned models, streamlining training, evaluation, and deployment with partners Fireworks and Baseten. Learn when supervised fine-tuning makes sense, how data selection drives gains, and see real-world results from LangChain's internal tests.

Try `smithtune` on your own agent traces: install the CLI from GitHub, connect your LangSmith project, and run your first fine-tuning experiment this week.

Show notes:

- Original article: https://www.langchain.com/blog/langsmith-fine-tuning

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-26-podcast-langsmith-fine-tuning-from-agent-traces-to-custom-models-in-one-workflow.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-26-podcast-langsmith-fine-tuning-from-agent-traces-to-custom-models-in-one-workflow.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.langchain.com/blog/langsmith-fine-tuning" /></item><item><title>Tech News: Cellular Call Deprioritization, DOS Legacy, and Browser Quirks</title><description>A deep dive into why your calls might be dropping, the surprising persistence of DOS in modern business, and the curious cases where browsers agree but specs don't.

Test your call reliability this week, audit your legacy systems, and check if your web app relies on browser behavior that doesn’t match the spec.</description><pubDate>Fri, 25 Sep 2026 22:46:11 GMT</pubDate><link>https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-tech-news-cellular-call-deprioritization-dos-legacy-and-browser-quirks.mp3</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">fc5f5c63-0948-4d5d-a306-e5e544086307</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-tech-news-cellular-call-deprioritization-dos-legacy-and-browser-quirks.mp3" type="audio/mpeg" length="1831334" /><itunes:subtitle>A deep dive into why your calls might be dropping, the surprising persistence of DOS in modern business, and the curious cases where browsers agree but specs don't.</itunes:subtitle><itunes:summary>A deep dive into why your calls might be dropping, the surprising persistence of DOS in modern business, and the curious cases where browsers agree but specs don't.</itunes:summary><itunes:duration>114</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into why your calls might be dropping, the surprising persistence of DOS in modern business, and the curious cases where browsers agree but specs don't.

Test your call reliability this week, audit your legacy systems, and check if your web app relies on browser behavior that doesn’t match the spec.

Show notes:

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-tech-news-cellular-call-deprioritization-dos-legacy-and-browser-quirks.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-tech-news-cellular-call-deprioritization-dos-legacy-and-browser-quirks.chapters.json" type="application/json+chapters" /></item><item><title>Huiswerk voor Avengers: Doomsday – Welke films en series moet je echt gezien hebben?</title><description>Marvel’s *Avengers: Doomsday* belooft een episch samensmelten van universa: X-Men, Fantastic Four en de klassieke Avengers. Maar met zoveel personages en verhaallijnen, wat moet je *echt* gezien hebben om alles te snappen? We duiken in de officiële Disney+-kijklijst, bespreken de cruciale momenten (Loki’s transformatie! Deadpool’s impact!), en leggen uit waarom *één* serie en een handvol films het verschil maken. Of je nu een hardcore fan bent of gewoon mee wilt komen: dit is je gids voor het Marvel-evenement van 16 december 2026.

Maak *nu* je kijklijst in Disney+: begin met *Avengers: Endgame* en *Loki*, en noteer **drie sleutelmomenten** (Loki’s ‘He Who Remains’, Deadpool’s universum-grappen, Thunderbolts’ eindscène) om voorbereid te zijn op *Avengers: Doomsday* (16 dec 2026). Deel je strategie met #MCUDoomsdayPrep!</description><pubDate>Fri, 25 Sep 2026 04:02:58 GMT</pubDate><link>https://www.bright.nl/nieuws/2124187/huiswerk-deze-films-en-series-moet-je-gezien-hebben-voor-avengers-doomsday.html</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.bright.nl-nieuws-2124187-huiswerk-deze-films-en-series-moet-je-gezien-hebben-26f75a6af2</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-huiswerk-voor-avengers-doomsday-welke-films-en-series-moet-je-echt-gezien-hebben.mp3" type="audio/mpeg" length="3731934" /><itunes:subtitle>Marvel’s *Avengers: Doomsday* belooft een episch samensmelten van universa: X-Men, Fantastic Four en de klassieke Avengers. Maar met zoveel personages en verhaallijnen, wat moet je *echt* gezien hebben om alles te snappen? We duiken in de officiële Disney</itunes:subtitle><itunes:summary>Marvel’s *Avengers: Doomsday* belooft een episch samensmelten van universa: X-Men, Fantastic Four en de klassieke Avengers. Maar met zoveel personages en verhaallijnen, wat moet je *echt* gezien hebben om alles te snappen? We duiken in de officiële Disney+-kijklijst, bespreken de cruciale momenten (Loki’s transformatie! Deadpool’s impact!), en leggen uit waarom *één* serie en een handvol films het verschil maken. Of je nu een hardcore fan bent of gewoon mee wilt komen: dit is je gids voor het Marvel-evenement van 16 december 2026.</itunes:summary><itunes:duration>233</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Marvel’s *Avengers: Doomsday* belooft een episch samensmelten van universa: X-Men, Fantastic Four en de klassieke Avengers. Maar met zoveel personages en verhaallijnen, wat moet je *echt* gezien hebben om alles te snappen? We duiken in de officiële Disney+-kijklijst, bespreken de cruciale momenten (Loki’s transformatie! Deadpool’s impact!), en leggen uit waarom *één* serie en een handvol films het verschil maken. Of je nu een hardcore fan bent of gewoon mee wilt komen: dit is je gids voor het Marvel-evenement van 16 december 2026.

Maak *nu* je kijklijst in Disney+: begin met *Avengers: Endgame* en *Loki*, en noteer **drie sleutelmomenten** (Loki’s ‘He Who Remains’, Deadpool’s universum-grappen, Thunderbolts’ eindscène) om voorbereid te zijn op *Avengers: Doomsday* (16 dec 2026). Deel je strategie met #MCUDoomsdayPrep!

Show notes:

- Original article: https://www.bright.nl/nieuws/2124187/huiswerk-deze-films-en-series-moet-je-gezien-hebben-voor-avengers-doomsday.html

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-huiswerk-voor-avengers-doomsday-welke-films-en-series-moet-je-echt-gezien-hebben.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-huiswerk-voor-avengers-doomsday-welke-films-en-series-moet-je-echt-gezien-hebben.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.bright.nl/nieuws/2124187/huiswerk-deze-films-en-series-moet-je-gezien-hebben-voor-avengers-doomsday.html" /></item><item><title>Stil protest op de Antwerp Pride: waarom sommige praalwagens kiezen voor karton in plaats van glitter</title><description>Tijdens de Antwerp Pride Parade van 2026 voeren kunstenaars en buurtverenigingen stil protest met praalwagens zonder bling bling. Waarom kiezen zij bewust voor eenvoud en wat is de boodschap achter hun deelname? Een gesprek over de oorsprong van Pride als protest en de balans tussen feest en activisme.

Bezoek de Antwerp Pride Parade op 8 augustus, let op de stille praalwagens en reflecteer op wat Pride voor jou betekent. Check de route op antwerppride.be.</description><pubDate>Fri, 25 Sep 2026 04:02:13 GMT</pubDate><link>https://www.gva.be/regio/antwerpen/regio-antwerpen/antwerpen/het-is-te-veel-party-geworden-deze-praalwagens-voeren-stil-protest-tijdens-antwerp-pride-parade/159729345.html</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.gva.be-regio-antwerpen-regio-antwerpen-antwerpen-het-is-te-veel-party-geword-04d7a2de2d</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-stil-protest-op-de-antwerp-pride-waarom-sommige-praalwagens-kiezen-voor-karton-in-plaats-van-glitter.mp3" type="audio/mpeg" length="2551615" /><itunes:subtitle>Tijdens de Antwerp Pride Parade van 2026 voeren kunstenaars en buurtverenigingen stil protest met praalwagens zonder bling bling. Waarom kiezen zij bewust voor eenvoud en wat is de boodschap achter hun deelname? Een gesprek over de oorsprong van Pride als</itunes:subtitle><itunes:summary>Tijdens de Antwerp Pride Parade van 2026 voeren kunstenaars en buurtverenigingen stil protest met praalwagens zonder bling bling. Waarom kiezen zij bewust voor eenvoud en wat is de boodschap achter hun deelname? Een gesprek over de oorsprong van Pride als protest en de balans tussen feest en activisme.</itunes:summary><itunes:duration>159</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Tijdens de Antwerp Pride Parade van 2026 voeren kunstenaars en buurtverenigingen stil protest met praalwagens zonder bling bling. Waarom kiezen zij bewust voor eenvoud en wat is de boodschap achter hun deelname? Een gesprek over de oorsprong van Pride als protest en de balans tussen feest en activisme.

Bezoek de Antwerp Pride Parade op 8 augustus, let op de stille praalwagens en reflecteer op wat Pride voor jou betekent. Check de route op antwerppride.be.

Show notes:

- Original article: https://www.gva.be/regio/antwerpen/regio-antwerpen/antwerpen/het-is-te-veel-party-geworden-deze-praalwagens-voeren-stil-protest-tijdens-antwerp-pride-parade/159729345.html

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-stil-protest-op-de-antwerp-pride-waarom-sommige-praalwagens-kiezen-voor-karton-in-plaats-van-glitter.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-stil-protest-op-de-antwerp-pride-waarom-sommige-praalwagens-kiezen-voor-karton-in-plaats-van-glitter.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.gva.be/regio/antwerpen/regio-antwerpen/antwerpen/het-is-te-veel-party-geworden-deze-praalwagens-voeren-stil-protest-tijdens-antwerp-pride-parade/159729345.html" /></item><item><title>De eEvidence-verordening: sneller toegang tot je digitale gegevens, maar tegen welke prijs?</title><description>De nieuwe eEvidence-verordening van de EU maakt het voor justitiële autoriteiten makkelijker om digitaal bewijsmateriaal op te vragen bij bedrijven in andere lidstaten. Hoe werkt deze omstreden wet precies? Wat betekent dit voor jouw privacy en digitale rechten? En waarom roept het zoveel kritiek op van privacyorganisaties, advocaten en journalisten? We duiken in de details, de doelen, en de mogelijke risico’s van deze wet die vanaf 18 augustus 2026 van kracht is – maar waar veel lidstaten, waaronder Nederland, nog niet klaar voor zijn.

Check of jouw meest gebruikte online diensten – zoals e-mail, cloudopslag of sociale media – vallen onder de eEvidence-verordening. Gebruik de **Europese Court Database** (link in de shownotes) om te zien welke bedrijven geregistreerd zijn. Overweeg om over te stappen naar **privacy-gerichte alternatieven** zoals ProtonMail, Signal, of zelfgehoste oplossingen als Nextcloud. En deel deze aflevering met iemand die denkt: ‘Ik heb niets te verbergen’ – want deze wet gaat over **iedereen**.</description><pubDate>Fri, 25 Sep 2026 04:01:56 GMT</pubDate><link>https://tweakers.net/reviews/15168/door-deze-omstreden-eu-wet-kunnen-landen-sneller-aan-je-digitale-gegevens-komen.html</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">tweakers.net-reviews-15168-door-deze-omstreden-eu-wet-kunnen-landen-sneller-aan--206d6db2e2</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-de-eevidence-verordening-sneller-toegang-tot-je-digitale-gegevens-maar-tegen-welke-prijs.mp3" type="audio/mpeg" length="5825846" /><itunes:subtitle>De nieuwe eEvidence-verordening van de EU maakt het voor justitiële autoriteiten makkelijker om digitaal bewijsmateriaal op te vragen bij bedrijven in andere lidstaten. Hoe werkt deze omstreden wet precies? Wat betekent dit voor jouw privacy en digitale r</itunes:subtitle><itunes:summary>De nieuwe eEvidence-verordening van de EU maakt het voor justitiële autoriteiten makkelijker om digitaal bewijsmateriaal op te vragen bij bedrijven in andere lidstaten. Hoe werkt deze omstreden wet precies? Wat betekent dit voor jouw privacy en digitale rechten? En waarom roept het zoveel kritiek op van privacyorganisaties, advocaten en journalisten? We duiken in de details, de doelen, en de mogelijke risico’s van deze wet die vanaf 18 augustus 2026 van kracht is – maar waar veel lidstaten, waaronder Nederland, nog niet klaar voor zijn.</itunes:summary><itunes:duration>364</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>De nieuwe eEvidence-verordening van de EU maakt het voor justitiële autoriteiten makkelijker om digitaal bewijsmateriaal op te vragen bij bedrijven in andere lidstaten. Hoe werkt deze omstreden wet precies? Wat betekent dit voor jouw privacy en digitale rechten? En waarom roept het zoveel kritiek op van privacyorganisaties, advocaten en journalisten? We duiken in de details, de doelen, en de mogelijke risico’s van deze wet die vanaf 18 augustus 2026 van kracht is – maar waar veel lidstaten, waaronder Nederland, nog niet klaar voor zijn.

Check of jouw meest gebruikte online diensten – zoals e-mail, cloudopslag of sociale media – vallen onder de eEvidence-verordening. Gebruik de **Europese Court Database** (link in de shownotes) om te zien welke bedrijven geregistreerd zijn. Overweeg om over te stappen naar **privacy-gerichte alternatieven** zoals ProtonMail, Signal, of zelfgehoste oplossingen als Nextcloud. En deel deze aflevering met iemand die denkt: ‘Ik heb niets te verbergen’ – want deze wet gaat over **iedereen**.

Show notes:

- Original article: https://tweakers.net/reviews/15168/door-deze-omstreden-eu-wet-kunnen-landen-sneller-aan-je-digitale-gegevens-komen.html

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-de-eevidence-verordening-sneller-toegang-tot-je-digitale-gegevens-maar-tegen-welke-prijs.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-de-eevidence-verordening-sneller-toegang-tot-je-digitale-gegevens-maar-tegen-welke-prijs.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://tweakers.net/reviews/15168/door-deze-omstreden-eu-wet-kunnen-landen-sneller-aan-je-digitale-gegevens-komen.html" /></item><item><title>De Verborgen Kou Die de Sahara Drooglegde: Een 6.000 Jaar Oud Mysterie Ontrafeld</title><description>Hoe kon een lichte afkoeling tussen Groenland en Noorwegen de groene Sahara in enkele eeuwen veranderen in de woestijn die we vandaag kennen? Nieuwe klimaatgegevens uit zeesediment en modellen onthullen een verrassende kettingreactie die continenten overspant. We duiken in de wetenschap achter de Afrikaanse vochtige periode, de rol van de Noord-Atlantische Oceaan, en waarom deze ontdekking onze kijk op klimaatverandering vandaag nog relevant maakt.

Check de [klimaatreconstructie uit 2017](https://www.nature.com/articles/s41467-017-01454-y) voor de technische details, en volg actuele AMOC-metingen via het **NOAA Climate Program**. Deel je eigen observaties van lokale klimaatveranderingen met #SaharaLes—hoe zie *jij* patronen verschuiven?</description><pubDate>Fri, 25 Sep 2026 03:59:06 GMT</pubDate><link>https://www.duurzaamnieuws.nl/een-verborgen-kou-tussen-groenland-en-noorwegen-kan-de-sahara-hebben-drooggelegd-na-6-000-91839/</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.duurzaamnieuws.nl-een-verborgen-kou-tussen-groenland-en-noorwegen-kan-de-sah-adca8a4e2a</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-de-verborgen-kou-die-de-sahara-drooglegde-een-6-000-jaar-oud-mysterie-ontrafeld.mp3" type="audio/mpeg" length="3305901" /><itunes:subtitle>Hoe kon een lichte afkoeling tussen Groenland en Noorwegen de groene Sahara in enkele eeuwen veranderen in de woestijn die we vandaag kennen? Nieuwe klimaatgegevens uit zeesediment en modellen onthullen een verrassende kettingreactie die continenten overs</itunes:subtitle><itunes:summary>Hoe kon een lichte afkoeling tussen Groenland en Noorwegen de groene Sahara in enkele eeuwen veranderen in de woestijn die we vandaag kennen? Nieuwe klimaatgegevens uit zeesediment en modellen onthullen een verrassende kettingreactie die continenten overspant. We duiken in de wetenschap achter de Afrikaanse vochtige periode, de rol van de Noord-Atlantische Oceaan, en waarom deze ontdekking onze kijk op klimaatverandering vandaag nog relevant maakt.</itunes:summary><itunes:duration>207</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Hoe kon een lichte afkoeling tussen Groenland en Noorwegen de groene Sahara in enkele eeuwen veranderen in de woestijn die we vandaag kennen? Nieuwe klimaatgegevens uit zeesediment en modellen onthullen een verrassende kettingreactie die continenten overspant. We duiken in de wetenschap achter de Afrikaanse vochtige periode, de rol van de Noord-Atlantische Oceaan, en waarom deze ontdekking onze kijk op klimaatverandering vandaag nog relevant maakt.

Check de [klimaatreconstructie uit 2017](https://www.nature.com/articles/s41467-017-01454-y) voor de technische details, en volg actuele AMOC-metingen via het **NOAA Climate Program**. Deel je eigen observaties van lokale klimaatveranderingen met #SaharaLes—hoe zie *jij* patronen verschuiven?

Show notes:

- Original article: https://www.duurzaamnieuws.nl/een-verborgen-kou-tussen-groenland-en-noorwegen-kan-de-sahara-hebben-drooggelegd-na-6-000-91839/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-de-verborgen-kou-die-de-sahara-drooglegde-een-6-000-jaar-oud-mysterie-ontrafeld.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-de-verborgen-kou-die-de-sahara-drooglegde-een-6-000-jaar-oud-mysterie-ontrafeld.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.duurzaamnieuws.nl/een-verborgen-kou-tussen-groenland-en-noorwegen-kan-de-sahara-hebben-drooggelegd-na-6-000-91839/" /></item><item><title>The Agent Harness Should Be Open</title><description>A deep dive into how open-source agent harnesses like TrueForge cut costs and improve efficiency by optimizing context and model calls, with real-world benchmark results and practical strategies.

Test TrueForge on your workflow and measure your token savings using the open-source benchmark on GitHub.</description><pubDate>Fri, 25 Sep 2026 02:21:48 GMT</pubDate><link>https://x.com/akshay_pachaar/status/2090111634245357787</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">x.com-akshay_pachaar-status-2090111634245357787-a8d27e3fe6</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-the-agent-harness-should-be-open.mp3" type="audio/mpeg" length="2263414" /><itunes:subtitle>A deep dive into how open-source agent harnesses like TrueForge cut costs and improve efficiency by optimizing context and model calls, with real-world benchmark results and practical strategies.</itunes:subtitle><itunes:summary>A deep dive into how open-source agent harnesses like TrueForge cut costs and improve efficiency by optimizing context and model calls, with real-world benchmark results and practical strategies.</itunes:summary><itunes:duration>141</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into how open-source agent harnesses like TrueForge cut costs and improve efficiency by optimizing context and model calls, with real-world benchmark results and practical strategies.

Test TrueForge on your workflow and measure your token savings using the open-source benchmark on GitHub.

Show notes:

- Original article: https://x.com/akshay_pachaar/status/2090111634245357787

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-the-agent-harness-should-be-open.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-the-agent-harness-should-be-open.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/akshay_pachaar/status/2090111634245357787" /></item><item><title>Show Me: Why Coding Agents Need Visual Thinking</title><description>A deep dive into the /show-me skill for coding agents, which replaces walls of prose with compact visual representations like component trees, call stacks, and diagrams. Inspired by Coda Hale’s insights on visual cognition, this approach optimizes how developers interact with AI assistants for design, debugging, and collaboration.

Install the /show-me skill with `npx skills add humanlayer/skills --skill show-me` or `brew install humanlayer`, then prompt your agent with '/show-me' to replace walls of text with visuals on your next coding task.</description><pubDate>Fri, 25 Sep 2026 02:21:40 GMT</pubDate><link>https://x.com/i/status/2087569590268391897</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">x.com-i-status-2087569590268391897-4d1d34cc10</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-show-me-why-coding-agents-need-visual-thinking.mp3" type="audio/mpeg" length="2068118" /><itunes:subtitle>A deep dive into the /show-me skill for coding agents, which replaces walls of prose with compact visual representations like component trees, call stacks, and diagrams. Inspired by Coda Hale’s insights on visual cognition, this approach optimizes how dev</itunes:subtitle><itunes:summary>A deep dive into the /show-me skill for coding agents, which replaces walls of prose with compact visual representations like component trees, call stacks, and diagrams. Inspired by Coda Hale’s insights on visual cognition, this approach optimizes how developers interact with AI assistants for design, debugging, and collaboration.</itunes:summary><itunes:duration>129</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into the /show-me skill for coding agents, which replaces walls of prose with compact visual representations like component trees, call stacks, and diagrams. Inspired by Coda Hale’s insights on visual cognition, this approach optimizes how developers interact with AI assistants for design, debugging, and collaboration.

Install the /show-me skill with `npx skills add humanlayer/skills --skill show-me` or `brew install humanlayer`, then prompt your agent with '/show-me' to replace walls of text with visuals on your next coding task.

Show notes:

- Original article: https://x.com/i/status/2087569590268391897

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-show-me-why-coding-agents-need-visual-thinking.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-show-me-why-coding-agents-need-visual-thinking.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/i/status/2087569590268391897" /></item><item><title>Build an n8n-Style Workflow in React—Without the Heavy Lifting</title><description>A deep dive into JointJS+, a React template that lets you focus on workflow logic while it handles the canvas, nodes, ports, undo/redo, and smooth rendering—even for massive diagrams.

Fork the JointJS+ React template, build a workflow, and see how it handles your use case—no canvas code required.</description><pubDate>Fri, 25 Sep 2026 01:26:49 GMT</pubDate><link>https://x.com/jointjs/status/2094794636220829828</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">x.com-jointjs-status-2094794636220829828-cc37364d6d</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-build-an-n8n-style-workflow-in-react-without-the-heavy-lifting.mp3" type="audio/mpeg" length="1751911" /><itunes:subtitle>A deep dive into JointJS+, a React template that lets you focus on workflow logic while it handles the canvas, nodes, ports, undo/redo, and smooth rendering—even for massive diagrams.</itunes:subtitle><itunes:summary>A deep dive into JointJS+, a React template that lets you focus on workflow logic while it handles the canvas, nodes, ports, undo/redo, and smooth rendering—even for massive diagrams.</itunes:summary><itunes:duration>109</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into JointJS+, a React template that lets you focus on workflow logic while it handles the canvas, nodes, ports, undo/redo, and smooth rendering—even for massive diagrams.

Fork the JointJS+ React template, build a workflow, and see how it handles your use case—no canvas code required.

Show notes:

- Original article: https://x.com/jointjs/status/2094794636220829828

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-build-an-n8n-style-workflow-in-react-without-the-heavy-lifting.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-build-an-n8n-style-workflow-in-react-without-the-heavy-lifting.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/jointjs/status/2094794636220829828" /></item><item><title>Obsidian’s New AI Agent Playground: What Just Changed for Your Notes</title><description>Kepano, creator of Obsidian, releases obsidian-skills—a framework that teaches AI agents like Claude Code to interact with your note vault like a power user. Five skills at launch, open-source, and built on the Agent Skills spec. We break down what this means for productivity, integration, and the future of second-brain tools.

Install obsidian-skills with one command and ask your AI agent to create a canvas from your project notes—then watch your second brain level up.</description><pubDate>Fri, 25 Sep 2026 01:23:47 GMT</pubDate><link>https://x.com/bigaiguy/status/2094760117585748186</link><category>General IT &amp; Software</category><guid isPermaLink="false">x.com-bigaiguy-status-2094760117585748186-fd517d0aa3</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-obsidian-s-new-ai-agent-playground-what-just-changed-for-your-notes.mp3" type="audio/mpeg" length="1827339" /><itunes:subtitle>Kepano, creator of Obsidian, releases obsidian-skills—a framework that teaches AI agents like Claude Code to interact with your note vault like a power user. Five skills at launch, open-source, and built on the Agent Skills spec. We break down what this m</itunes:subtitle><itunes:summary>Kepano, creator of Obsidian, releases obsidian-skills—a framework that teaches AI agents like Claude Code to interact with your note vault like a power user. Five skills at launch, open-source, and built on the Agent Skills spec. We break down what this means for productivity, integration, and the future of second-brain tools.</itunes:summary><itunes:duration>114</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Kepano, creator of Obsidian, releases obsidian-skills—a framework that teaches AI agents like Claude Code to interact with your note vault like a power user. Five skills at launch, open-source, and built on the Agent Skills spec. We break down what this means for productivity, integration, and the future of second-brain tools.

Install obsidian-skills with one command and ask your AI agent to create a canvas from your project notes—then watch your second brain level up.

Show notes:

- Original article: https://x.com/bigaiguy/status/2094760117585748186

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-obsidian-s-new-ai-agent-playground-what-just-changed-for-your-notes.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-obsidian-s-new-ai-agent-playground-what-just-changed-for-your-notes.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/bigaiguy/status/2094760117585748186" /></item><item><title>Microsoft Open-Sourced the Agent Runtime—So You Don’t Have To Build One</title><description>A deep dive into Microsoft’s Agent Harness, the open-source layer that turns raw AI models into full-fledged agents with tools, memory, and planning—all plug-and-play. We break down the six critical decisions that make an agent reliable, and why this changes the game for developers.

Spin up a Microsoft Agent Harness instance with your model and one tool, then test whether it remembers the rules and runs the tests—no scaffolding required.</description><pubDate>Fri, 25 Sep 2026 01:18:03 GMT</pubDate><link>https://x.com/N01ennn/status/2089819869831193020</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">x.com-n01ennn-status-2089819869831193020-533f9370ac</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-microsoft-open-sourced-the-agent-runtime-so-you-don-t-have-to-build-one.mp3" type="audio/mpeg" length="2160322" /><itunes:subtitle>A deep dive into Microsoft’s Agent Harness, the open-source layer that turns raw AI models into full-fledged agents with tools, memory, and planning—all plug-and-play. We break down the six critical decisions that make an agent reliable, and why this chan</itunes:subtitle><itunes:summary>A deep dive into Microsoft’s Agent Harness, the open-source layer that turns raw AI models into full-fledged agents with tools, memory, and planning—all plug-and-play. We break down the six critical decisions that make an agent reliable, and why this changes the game for developers.</itunes:summary><itunes:duration>135</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into Microsoft’s Agent Harness, the open-source layer that turns raw AI models into full-fledged agents with tools, memory, and planning—all plug-and-play. We break down the six critical decisions that make an agent reliable, and why this changes the game for developers.

Spin up a Microsoft Agent Harness instance with your model and one tool, then test whether it remembers the rules and runs the tests—no scaffolding required.

Show notes:

- Original article: https://x.com/N01ennn/status/2089819869831193020

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-microsoft-open-sourced-the-agent-runtime-so-you-don-t-have-to-build-one.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-microsoft-open-sourced-the-agent-runtime-so-you-don-t-have-to-build-one.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/N01ennn/status/2089819869831193020" /></item><item><title>Harness vs. Graphs: The Layer That Actually Matters</title><description>A deep dive into Hanako's explanation of why most agent systems are just fancy harnesses—and how graph engineering changes the game by deciding which calls should exist in the first place.

Test your next failure: turn a piece off and rerun it. If the call works, it’s the harness. If the wrong step runs, it’s the graph—and that’s where you need to focus.</description><pubDate>Fri, 25 Sep 2026 01:11:59 GMT</pubDate><link>https://x.com/hanakoxbt/status/2098537551460008266</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">x.com-hanakoxbt-status-2098537551460008266-99c2b4d22a</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-harness-vs-graphs-the-layer-that-actually-matters.mp3" type="audio/mpeg" length="2072225" /><itunes:subtitle>A deep dive into Hanako's explanation of why most agent systems are just fancy harnesses—and how graph engineering changes the game by deciding which calls should exist in the first place.</itunes:subtitle><itunes:summary>A deep dive into Hanako's explanation of why most agent systems are just fancy harnesses—and how graph engineering changes the game by deciding which calls should exist in the first place.</itunes:summary><itunes:duration>129</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into Hanako's explanation of why most agent systems are just fancy harnesses—and how graph engineering changes the game by deciding which calls should exist in the first place.

Test your next failure: turn a piece off and rerun it. If the call works, it’s the harness. If the wrong step runs, it’s the graph—and that’s where you need to focus.

Show notes:

- Original article: https://x.com/hanakoxbt/status/2098537551460008266

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-harness-vs-graphs-the-layer-that-actually-matters.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-harness-vs-graphs-the-layer-that-actually-matters.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/hanakoxbt/status/2098537551460008266" /></item><item><title>8 Modern Linux Commands That Replace the Old Guard</title><description>A practical deep dive into modern Linux command-line tools like bat, fd, ripgrep, and others that outperform traditional alternatives like cat, find, and grep. Discover why these tools are game-changers for sysadmins and DevOps engineers.

Pick one modern Linux command from this list and integrate it into your workflow this week. Test it side-by-side with its traditional counterpart and share your findings.</description><pubDate>Fri, 25 Sep 2026 01:11:39 GMT</pubDate><link>https://www.virtualizationhowto.com/2026/08/8-modern-linux-commands-i-use-instead-of-the-old-school-alternatives/</link><category>Linux &amp; Open Source</category><guid isPermaLink="false">www.virtualizationhowto.com-2026-08-8-modern-linux-commands-i-use-instead-of-the-4a1214e1dc</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-8-modern-linux-commands-that-replace-the-old-guard.mp3" type="audio/mpeg" length="3148283" /><itunes:subtitle>A practical deep dive into modern Linux command-line tools like bat, fd, ripgrep, and others that outperform traditional alternatives like cat, find, and grep. Discover why these tools are game-changers for sysadmins and DevOps engineers.</itunes:subtitle><itunes:summary>A practical deep dive into modern Linux command-line tools like bat, fd, ripgrep, and others that outperform traditional alternatives like cat, find, and grep. Discover why these tools are game-changers for sysadmins and DevOps engineers.</itunes:summary><itunes:duration>197</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A practical deep dive into modern Linux command-line tools like bat, fd, ripgrep, and others that outperform traditional alternatives like cat, find, and grep. Discover why these tools are game-changers for sysadmins and DevOps engineers.

Pick one modern Linux command from this list and integrate it into your workflow this week. Test it side-by-side with its traditional counterpart and share your findings.

Show notes:

- Original article: https://www.virtualizationhowto.com/2026/08/8-modern-linux-commands-i-use-instead-of-the-old-school-alternatives/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-8-modern-linux-commands-that-replace-the-old-guard.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-8-modern-linux-commands-that-replace-the-old-guard.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.virtualizationhowto.com/2026/08/8-modern-linux-commands-i-use-instead-of-the-old-school-alternatives/" /></item><item><title>How $1.2M AI Engineers Actually Work (And How You Can Too)</title><description>Anthropic’s research on 400,000 real coding sessions reveals the real secret of top AI engineers: it’s not about typing faster, but designing systems where agents handle execution while humans focus on architecture and verification. We break down the three critical patterns—Default-FAIL, external evaluators, and progress handoffs—that separate working agent systems from broken ones, and show how you can build this harness yourself in a week using open tools like Kimi K3. Plus: why benchmarks lie, how task complexity is doubling every seven months, and the one question that predicts whether your AI workflow will scale.

Pick **one repetitive end-to-end task** you currently do manually (e.g., ‘add an API endpoint with tests and deployment’). Install Kimi K3 (link in show notes), then follow the seven-day build plan: Day 1 → Test the task with default settings. Day 2 → Create your AGENTS.md conventions. Day 3 → Add Default-FAIL and a progress file. Report back what breaks—and what you can hand off by Day 7.</description><pubDate>Fri, 25 Sep 2026 01:06:38 GMT</pubDate><link>https://x.com/i/status/2087066798608752671</link><category>Science &amp; Research</category><guid isPermaLink="false">x.com-i-status-2087066798608752671-6835e5ab64</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-how-1-2m-ai-engineers-actually-work-and-how-you-can-too.mp3" type="audio/mpeg" length="6857447" /><itunes:subtitle>Anthropic’s research on 400,000 real coding sessions reveals the real secret of top AI engineers: it’s not about typing faster, but designing systems where agents handle execution while humans focus on architecture and verification. We break down the thre</itunes:subtitle><itunes:summary>Anthropic’s research on 400,000 real coding sessions reveals the real secret of top AI engineers: it’s not about typing faster, but designing systems where agents handle execution while humans focus on architecture and verification. We break down the three critical patterns—Default-FAIL, external evaluators, and progress handoffs—that separate working agent systems from broken ones, and show how you can build this harness yourself in a week using open tools like Kimi K3. Plus: why benchmarks lie, how task complexity is doubling every seven months, and the one question that predicts whether your AI workflow will scale.</itunes:summary><itunes:duration>428</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Anthropic’s research on 400,000 real coding sessions reveals the real secret of top AI engineers: it’s not about typing faster, but designing systems where agents handle execution while humans focus on architecture and verification. We break down the three critical patterns—Default-FAIL, external evaluators, and progress handoffs—that separate working agent systems from broken ones, and show how you can build this harness yourself in a week using open tools like Kimi K3. Plus: why benchmarks lie, how task complexity is doubling every seven months, and the one question that predicts whether your AI workflow will scale.

Pick **one repetitive end-to-end task** you currently do manually (e.g., ‘add an API endpoint with tests and deployment’). Install Kimi K3 (link in show notes), then follow the seven-day build plan: Day 1 → Test the task with default settings. Day 2 → Create your AGENTS.md conventions. Day 3 → Add Default-FAIL and a progress file. Report back what breaks—and what you can hand off by Day 7.

Show notes:

- Original article: https://x.com/i/status/2087066798608752671

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-how-1-2m-ai-engineers-actually-work-and-how-you-can-too.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-how-1-2m-ai-engineers-actually-work-and-how-you-can-too.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/i/status/2087066798608752671" /></item><item><title>How to Use ChatGPT's New, More Natural Voice Mode for Conversations</title><description>A deep dive into ChatGPT's GPT-Live Voice Mode, exploring its full-duplex architecture, real-time responsiveness, and practical applications like live translation. Learn how to enable it, customize settings, and why it feels more natural than ever.

Open the ChatGPT app, tap the waveform icon, and start a voice conversation. Test how naturally it responds when you pause or interrupt—and try switching intelligence levels to see which fits your needs.</description><pubDate>Fri, 25 Sep 2026 00:55:41 GMT</pubDate><link>https://www.engadget.com/2230975/how-to-use-chatgpt-voice-mode/</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.engadget.com-2230975-how-to-use-chatgpt-voice-mode--b2c4332260</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-how-to-use-chatgpt-s-new-more-natural-voice-mode-for-conversations.mp3" type="audio/mpeg" length="2123692" /><itunes:subtitle>A deep dive into ChatGPT's GPT-Live Voice Mode, exploring its full-duplex architecture, real-time responsiveness, and practical applications like live translation. Learn how to enable it, customize settings, and why it feels more natural than ever.</itunes:subtitle><itunes:summary>A deep dive into ChatGPT's GPT-Live Voice Mode, exploring its full-duplex architecture, real-time responsiveness, and practical applications like live translation. Learn how to enable it, customize settings, and why it feels more natural than ever.</itunes:summary><itunes:duration>133</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into ChatGPT's GPT-Live Voice Mode, exploring its full-duplex architecture, real-time responsiveness, and practical applications like live translation. Learn how to enable it, customize settings, and why it feels more natural than ever.

Open the ChatGPT app, tap the waveform icon, and start a voice conversation. Test how naturally it responds when you pause or interrupt—and try switching intelligence levels to see which fits your needs.

Show notes:

- Original article: https://www.engadget.com/2230975/how-to-use-chatgpt-voice-mode/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-how-to-use-chatgpt-s-new-more-natural-voice-mode-for-conversations.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-how-to-use-chatgpt-s-new-more-natural-voice-mode-for-conversations.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.engadget.com/2230975/how-to-use-chatgpt-voice-mode/" /></item><item><title>BentoML’s llm-optimizer: A Systematic Way to Tune LLM Inference</title><description>BentoML’s new open-source tool, llm-optimizer, replaces trial-and-error with structured benchmarking and automated tuning for self-hosted LLMs. We explore how it works, why tuning is hard, and how the LLM Performance Explorer lets teams compare configurations without local hardware.

Visit the GitHub repo at bentoml/llm-optimizer and run your first benchmark sweep to find the optimal configuration for your LLM deployment.</description><pubDate>Fri, 25 Sep 2026 00:52:30 GMT</pubDate><link>https://www.marktechpost.com/2025/09/12/bentoml-released-llm-optimizer-an-open-source-ai-tool-for-benchmarking-and-optimizing-llm-inference/</link><category>AI &amp; Machine Learning</category><guid isPermaLink="false">www.marktechpost.com-2025-09-12-bentoml-released-llm-optimizer-an-open-source-ai-b3c89036b0</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-bentoml-s-llm-optimizer-a-systematic-way-to-tune-llm-inference.mp3" type="audio/mpeg" length="1869544" /><itunes:subtitle>BentoML’s new open-source tool, llm-optimizer, replaces trial-and-error with structured benchmarking and automated tuning for self-hosted LLMs. We explore how it works, why tuning is hard, and how the LLM Performance Explorer lets teams compare configurat</itunes:subtitle><itunes:summary>BentoML’s new open-source tool, llm-optimizer, replaces trial-and-error with structured benchmarking and automated tuning for self-hosted LLMs. We explore how it works, why tuning is hard, and how the LLM Performance Explorer lets teams compare configurations without local hardware.</itunes:summary><itunes:duration>117</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>BentoML’s new open-source tool, llm-optimizer, replaces trial-and-error with structured benchmarking and automated tuning for self-hosted LLMs. We explore how it works, why tuning is hard, and how the LLM Performance Explorer lets teams compare configurations without local hardware.

Visit the GitHub repo at bentoml/llm-optimizer and run your first benchmark sweep to find the optimal configuration for your LLM deployment.

Show notes:

- Original article: https://www.marktechpost.com/2025/09/12/bentoml-released-llm-optimizer-an-open-source-ai-tool-for-benchmarking-and-optimizing-llm-inference/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-bentoml-s-llm-optimizer-a-systematic-way-to-tune-llm-inference.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-bentoml-s-llm-optimizer-a-systematic-way-to-tune-llm-inference.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.marktechpost.com/2025/09/12/bentoml-released-llm-optimizer-an-open-source-ai-tool-for-benchmarking-and-optimizing-llm-inference/" /></item><item><title>Microsoft's PlugMem: The Memory Module That Makes AI Agents 100x Smarter</title><description>A deep dive into Microsoft's PlugMem, a plug-and-play memory module that reduces AI context by up to 100x without retraining. We explore how it compiles experience into knowledge graphs, why it outperforms task-specific memory, and what this means for the future of AI agents.

Try PlugMem on your most memory-intensive AI agent task this week. Compare token usage and output quality—then decide if you are ready to remember smarter, not harder.</description><pubDate>Fri, 25 Sep 2026 00:49:42 GMT</pubDate><link>https://x.com/i/status/2085100042566701419</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">x.com-i-status-2085100042566701419-17d0be0400</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-microsoft-s-plugmem-the-memory-module-that-makes-ai-agents-100x-smarter.mp3" type="audio/mpeg" length="2544252" /><itunes:subtitle>A deep dive into Microsoft's PlugMem, a plug-and-play memory module that reduces AI context by up to 100x without retraining. We explore how it compiles experience into knowledge graphs, why it outperforms task-specific memory, and what this means for the</itunes:subtitle><itunes:summary>A deep dive into Microsoft's PlugMem, a plug-and-play memory module that reduces AI context by up to 100x without retraining. We explore how it compiles experience into knowledge graphs, why it outperforms task-specific memory, and what this means for the future of AI agents.</itunes:summary><itunes:duration>159</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into Microsoft's PlugMem, a plug-and-play memory module that reduces AI context by up to 100x without retraining. We explore how it compiles experience into knowledge graphs, why it outperforms task-specific memory, and what this means for the future of AI agents.

Try PlugMem on your most memory-intensive AI agent task this week. Compare token usage and output quality—then decide if you are ready to remember smarter, not harder.

Show notes:

- Original article: https://x.com/i/status/2085100042566701419

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-microsoft-s-plugmem-the-memory-module-that-makes-ai-agents-100x-smarter.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-25-podcast-microsoft-s-plugmem-the-memory-module-that-makes-ai-agents-100x-smarter.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/i/status/2085100042566701419" /></item><item><title>Your AI Agent Needs a Desktop—Just Not Yours</title><description>Dan Kornas introduces agent-workspace-linux, an isolated Linux desktop for AI agents that need GUI and web capabilities. We explore how it works, why it matters, and what it means for safe, hands-off automation.

Try agent-workspace-linux: set up a test workspace with a reusable profile and run a browser task in the floating viewer.</description><pubDate>Thu, 24 Sep 2026 23:41:46 GMT</pubDate><link>https://x.com/DanKornas/status/2102487856119775718</link><category>Linux &amp; Open Source</category><guid isPermaLink="false">x.com-dankornas-status-2102487856119775718-8bfe5252ff</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-your-ai-agent-needs-a-desktop-just-not-yours.mp3" type="audio/mpeg" length="1642851" /><itunes:subtitle>Dan Kornas introduces agent-workspace-linux, an isolated Linux desktop for AI agents that need GUI and web capabilities. We explore how it works, why it matters, and what it means for safe, hands-off automation.</itunes:subtitle><itunes:summary>Dan Kornas introduces agent-workspace-linux, an isolated Linux desktop for AI agents that need GUI and web capabilities. We explore how it works, why it matters, and what it means for safe, hands-off automation.</itunes:summary><itunes:duration>103</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Dan Kornas introduces agent-workspace-linux, an isolated Linux desktop for AI agents that need GUI and web capabilities. We explore how it works, why it matters, and what it means for safe, hands-off automation.

Try agent-workspace-linux: set up a test workspace with a reusable profile and run a browser task in the floating viewer.

Show notes:

- Original article: https://x.com/DanKornas/status/2102487856119775718

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-your-ai-agent-needs-a-desktop-just-not-yours.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-your-ai-agent-needs-a-desktop-just-not-yours.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/DanKornas/status/2102487856119775718" /></item><item><title>StepFun’s Step 5 Preview: 44 on Intelligence Index at 2.8x Lower Cost—But Agentic Gaps Remain</title><description>A deep dive into StepFun’s new flagship model, Step 5 Preview, which matches Kimi K3 (max) on the Artificial Analysis Intelligence Index at a fraction of the cost. We break down its standout reasoning strengths, hallucination tradeoffs, and where it lags in agentic performance—plus what that means for developers choosing between cost and capability.

Test Step 5 Preview against your current model on a reasoning-heavy task, compare the cost per task, and decide if the tradeoffs work for your use case.</description><pubDate>Thu, 24 Sep 2026 23:39:36 GMT</pubDate><link>https://x.com/ArtificialAnlys/status/2102213621963243704</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">x.com-artificialanlys-status-2102213621963243704-bdd216c387</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-stepfun-s-step-5-preview-44-on-intelligence-index-at-2-8x-lower-cost-but-agentic-gaps-remain.mp3" type="audio/mpeg" length="2551674" /><itunes:subtitle>A deep dive into StepFun’s new flagship model, Step 5 Preview, which matches Kimi K3 (max) on the Artificial Analysis Intelligence Index at a fraction of the cost. We break down its standout reasoning strengths, hallucination tradeoffs, and where it lags </itunes:subtitle><itunes:summary>A deep dive into StepFun’s new flagship model, Step 5 Preview, which matches Kimi K3 (max) on the Artificial Analysis Intelligence Index at a fraction of the cost. We break down its standout reasoning strengths, hallucination tradeoffs, and where it lags in agentic performance—plus what that means for developers choosing between cost and capability.</itunes:summary><itunes:duration>159</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into StepFun’s new flagship model, Step 5 Preview, which matches Kimi K3 (max) on the Artificial Analysis Intelligence Index at a fraction of the cost. We break down its standout reasoning strengths, hallucination tradeoffs, and where it lags in agentic performance—plus what that means for developers choosing between cost and capability.

Test Step 5 Preview against your current model on a reasoning-heavy task, compare the cost per task, and decide if the tradeoffs work for your use case.

Show notes:

- Original article: https://x.com/ArtificialAnlys/status/2102213621963243704

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-stepfun-s-step-5-preview-44-on-intelligence-index-at-2-8x-lower-cost-but-agentic-gaps-remain.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-stepfun-s-step-5-preview-44-on-intelligence-index-at-2-8x-lower-cost-but-agentic-gaps-remain.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/ArtificialAnlys/status/2102213621963243704" /></item><item><title>Grok Bot’s Hidden Terminal: A Shared Workspace for Your Existing Tools</title><description>A deep dive into how Grok Bot’s persistent cloud computer and terminal could unify your existing AI tool subscriptions—like Claude Code or Cursor—into a single workspace, and the one critical limitation you need to know before relying on it.

Try Grok Bot’s terminal with a single, low-stakes task using a tool you already own—like Claude Code—and compare the workflow to your current setup.</description><pubDate>Thu, 24 Sep 2026 23:36:38 GMT</pubDate><link>https://x.com/alex_prompter/status/2102043461419446435</link><category>General IT &amp; Software</category><guid isPermaLink="false">x.com-alex_prompter-status-2102043461419446435-8437493b0d</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-grok-bot-s-hidden-terminal-a-shared-workspace-for-your-existing-tools.mp3" type="audio/mpeg" length="1730455" /><itunes:subtitle>A deep dive into how Grok Bot’s persistent cloud computer and terminal could unify your existing AI tool subscriptions—like Claude Code or Cursor—into a single workspace, and the one critical limitation you need to know before relying on it.</itunes:subtitle><itunes:summary>A deep dive into how Grok Bot’s persistent cloud computer and terminal could unify your existing AI tool subscriptions—like Claude Code or Cursor—into a single workspace, and the one critical limitation you need to know before relying on it.</itunes:summary><itunes:duration>108</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into how Grok Bot’s persistent cloud computer and terminal could unify your existing AI tool subscriptions—like Claude Code or Cursor—into a single workspace, and the one critical limitation you need to know before relying on it.

Try Grok Bot’s terminal with a single, low-stakes task using a tool you already own—like Claude Code—and compare the workflow to your current setup.

Show notes:

- Original article: https://x.com/alex_prompter/status/2102043461419446435

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-grok-bot-s-hidden-terminal-a-shared-workspace-for-your-existing-tools.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-grok-bot-s-hidden-terminal-a-shared-workspace-for-your-existing-tools.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/alex_prompter/status/2102043461419446435" /></item><item><title>I Let AI Handle My Plex Transcode and Saved 8.5TB Without Lifting a Finger</title><description>A deep dive into how automating H.265 transcoding with AI tools like Codex and Tdarr can reclaim massive storage space in a Plex library, while avoiding the pitfalls of manual scripting and hardware mismatches.

Try automating a small batch of your Plex library with Codex and Tdarr this weekend—measure the space saved and the time you didn’t spend debugging scripts.</description><pubDate>Thu, 24 Sep 2026 23:34:40 GMT</pubDate><link>https://www.howtogeek.com/i-let-ai-handle-my-plex-transcode-and-saved-85tb-without-lifting-a-finger/</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.howtogeek.com-i-let-ai-handle-my-plex-transcode-and-saved-85tb-without-lifti-59b9e27929</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-i-let-ai-handle-my-plex-transcode-and-saved-8-5tb-without-lifting-a-finger.mp3" type="audio/mpeg" length="2075267" /><itunes:subtitle>A deep dive into how automating H.265 transcoding with AI tools like Codex and Tdarr can reclaim massive storage space in a Plex library, while avoiding the pitfalls of manual scripting and hardware mismatches.</itunes:subtitle><itunes:summary>A deep dive into how automating H.265 transcoding with AI tools like Codex and Tdarr can reclaim massive storage space in a Plex library, while avoiding the pitfalls of manual scripting and hardware mismatches.</itunes:summary><itunes:duration>130</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into how automating H.265 transcoding with AI tools like Codex and Tdarr can reclaim massive storage space in a Plex library, while avoiding the pitfalls of manual scripting and hardware mismatches.

Try automating a small batch of your Plex library with Codex and Tdarr this weekend—measure the space saved and the time you didn’t spend debugging scripts.

Show notes:

- Original article: https://www.howtogeek.com/i-let-ai-handle-my-plex-transcode-and-saved-85tb-without-lifting-a-finger/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-i-let-ai-handle-my-plex-transcode-and-saved-8-5tb-without-lifting-a-finger.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-i-let-ai-handle-my-plex-transcode-and-saved-8-5tb-without-lifting-a-finger.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.howtogeek.com/i-let-ai-handle-my-plex-transcode-and-saved-85tb-without-lifting-a-finger/" /></item><item><title>Best Voice Cloning APIs in 2026: Speaker Similarity, Consent Checks, and Price per 1M Characters</title><description>A deep dive into the top voice cloning APIs of 2026, comparing speaker similarity, consent verification, commercial licensing, and pricing. We test each platform with a 10-second reference clip and break down the tradeoffs for real-world deployment.

Test a 10-second voice clone on Fish Audio, Inworld, and Cartesia using the same reference clip, then compare similarity, consent requirements, and pricing for your use case.</description><pubDate>Thu, 24 Sep 2026 23:31:58 GMT</pubDate><link>https://www.marktechpost.com/2026/09/21/best-voice-cloning-apis-in-2026-speaker-similarity-consent-checks-and-price-per-1m-characters/</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.marktechpost.com-2026-09-21-best-voice-cloning-apis-in-2026-speaker-similari-29d0a03286</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-best-voice-cloning-apis-in-2026-speaker-similarity-consent-checks-and-price-per-1m-characters.mp3" type="audio/mpeg" length="3214380" /><itunes:subtitle>A deep dive into the top voice cloning APIs of 2026, comparing speaker similarity, consent verification, commercial licensing, and pricing. We test each platform with a 10-second reference clip and break down the tradeoffs for real-world deployment.</itunes:subtitle><itunes:summary>A deep dive into the top voice cloning APIs of 2026, comparing speaker similarity, consent verification, commercial licensing, and pricing. We test each platform with a 10-second reference clip and break down the tradeoffs for real-world deployment.</itunes:summary><itunes:duration>201</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into the top voice cloning APIs of 2026, comparing speaker similarity, consent verification, commercial licensing, and pricing. We test each platform with a 10-second reference clip and break down the tradeoffs for real-world deployment.

Test a 10-second voice clone on Fish Audio, Inworld, and Cartesia using the same reference clip, then compare similarity, consent requirements, and pricing for your use case.

Show notes:

- Original article: https://www.marktechpost.com/2026/09/21/best-voice-cloning-apis-in-2026-speaker-similarity-consent-checks-and-price-per-1m-characters/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-best-voice-cloning-apis-in-2026-speaker-similarity-consent-checks-and-price-per-1m-characters.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-best-voice-cloning-apis-in-2026-speaker-similarity-consent-checks-and-price-per-1m-characters.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.marktechpost.com/2026/09/21/best-voice-cloning-apis-in-2026-speaker-similarity-consent-checks-and-price-per-1m-characters/" /></item><item><title>OpenClaw 2026.9.5: The Update That Cannot Break You</title><description>OpenClaw’s latest release introduces Atomic Updates to prevent catastrophic failures during upgrades, alongside plugin hot reload, conversation sharing, and expanded GPT Live. We break down how it works, why it matters, and what you should test first.

Backup your OpenClaw setup, then run `openclaw update` and test Atomic Updates on a non-critical agent to verify rollback works as expected.</description><pubDate>Thu, 24 Sep 2026 23:28:14 GMT</pubDate><link>https://www.marktechpost.com/2026/09/19/openclaw-releases-2026-9-5/</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">www.marktechpost.com-2026-09-19-openclaw-releases-2026-9-5--e65970c96c</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-openclaw-2026-9-5-the-update-that-cannot-break-you.mp3" type="audio/mpeg" length="2308061" /><itunes:subtitle>OpenClaw’s latest release introduces Atomic Updates to prevent catastrophic failures during upgrades, alongside plugin hot reload, conversation sharing, and expanded GPT Live. We break down how it works, why it matters, and what you should test first.</itunes:subtitle><itunes:summary>OpenClaw’s latest release introduces Atomic Updates to prevent catastrophic failures during upgrades, alongside plugin hot reload, conversation sharing, and expanded GPT Live. We break down how it works, why it matters, and what you should test first.</itunes:summary><itunes:duration>144</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>OpenClaw’s latest release introduces Atomic Updates to prevent catastrophic failures during upgrades, alongside plugin hot reload, conversation sharing, and expanded GPT Live. We break down how it works, why it matters, and what you should test first.

Backup your OpenClaw setup, then run `openclaw update` and test Atomic Updates on a non-critical agent to verify rollback works as expected.

Show notes:

- Original article: https://www.marktechpost.com/2026/09/19/openclaw-releases-2026-9-5/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-openclaw-2026-9-5-the-update-that-cannot-break-you.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-openclaw-2026-9-5-the-update-that-cannot-break-you.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.marktechpost.com/2026/09/19/openclaw-releases-2026-9-5/" /></item><item><title>I Gave My Claude Code Sessions Two Crucial Skills, and Now They Actually Finish What I Start</title><description>Discover how two simple Claude Code skills—a brainstorming process skill and an output skill—transformed a developer's workflow from scrapped sessions to polished, usable results. Learn how to implement them yourself.

Install the Superpowers brainstorming skill and Anthropic’s docx skill, customize them for your workflow, and test them in your next Claude Code session.</description><pubDate>Thu, 24 Sep 2026 23:25:08 GMT</pubDate><link>https://www.xda-developers.com/gave-claude-projects-two-crucial-skills-now-they-finish-what-i-start/</link><category>General IT &amp; Software</category><guid isPermaLink="false">www.xda-developers.com-gave-claude-projects-two-crucial-skills-now-they-finish-w-0645f0078a</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-i-gave-my-claude-code-sessions-two-crucial-skills-and-now-they-actually-finish-what-i-start.mp3" type="audio/mpeg" length="2191280" /><itunes:subtitle>Discover how two simple Claude Code skills—a brainstorming process skill and an output skill—transformed a developer's workflow from scrapped sessions to polished, usable results. Learn how to implement them yourself.</itunes:subtitle><itunes:summary>Discover how two simple Claude Code skills—a brainstorming process skill and an output skill—transformed a developer's workflow from scrapped sessions to polished, usable results. Learn how to implement them yourself.</itunes:summary><itunes:duration>137</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>Discover how two simple Claude Code skills—a brainstorming process skill and an output skill—transformed a developer's workflow from scrapped sessions to polished, usable results. Learn how to implement them yourself.

Install the Superpowers brainstorming skill and Anthropic’s docx skill, customize them for your workflow, and test them in your next Claude Code session.

Show notes:

- Original article: https://www.xda-developers.com/gave-claude-projects-two-crucial-skills-now-they-finish-what-i-start/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-i-gave-my-claude-code-sessions-two-crucial-skills-and-now-they-actually-finish-what-i-start.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-i-gave-my-claude-code-sessions-two-crucial-skills-and-now-they-actually-finish-what-i-start.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://www.xda-developers.com/gave-claude-projects-two-crucial-skills-now-they-finish-what-i-start/" /></item><item><title>From RAG to Context Graphs: The Blind Test That Settles Which Architecture Wins</title><description>A deep dive into Mr. Buzzoni's blind test comparing RAG, long context, and context graphs—same model, same 12 questions, real costs, and a surprising verdict on when to use each.

Map your queries to your corpora, then pick RAG, long context, or context graphs per task—not per project—to cut costs without sacrificing accuracy.</description><pubDate>Thu, 24 Sep 2026 23:22:34 GMT</pubDate><link>https://x.com/polydao/status/2094662033350205453</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">x.com-polydao-status-2094662033350205453-db41507823</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-from-rag-to-context-graphs-the-blind-test-that-settles-which-architecture-wins.mp3" type="audio/mpeg" length="2437054" /><itunes:subtitle>A deep dive into Mr. Buzzoni's blind test comparing RAG, long context, and context graphs—same model, same 12 questions, real costs, and a surprising verdict on when to use each.</itunes:subtitle><itunes:summary>A deep dive into Mr. Buzzoni's blind test comparing RAG, long context, and context graphs—same model, same 12 questions, real costs, and a surprising verdict on when to use each.</itunes:summary><itunes:duration>152</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into Mr. Buzzoni's blind test comparing RAG, long context, and context graphs—same model, same 12 questions, real costs, and a surprising verdict on when to use each.

Map your queries to your corpora, then pick RAG, long context, or context graphs per task—not per project—to cut costs without sacrificing accuracy.

Show notes:

- Original article: https://x.com/polydao/status/2094662033350205453

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-from-rag-to-context-graphs-the-blind-test-that-settles-which-architecture-wins.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-from-rag-to-context-graphs-the-blind-test-that-settles-which-architecture-wins.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://x.com/polydao/status/2094662033350205453" /></item><item><title>Running a 177B Model on SSD: Qwen 3.8 Flash Next Surprises Everyone</title><description>A deep dive into how Qwen 3.8 Flash Next's architecture allows running a 177B parameter model on consumer hardware by offloading its N-gram table to an NVMe SSD—without sacrificing speed or quality. Featuring real-world benchmarks, hardware constraints, and the future of open-source AI model design.

Test Qwen 3.8 Flash Next on your hardware by offloading the N-gram table to an NVMe SSD, then measure your token speed at short and long context lengths to see if your setup can handle frontier-level models.</description><pubDate>Thu, 24 Sep 2026 23:19:28 GMT</pubDate><link>https://youtu.be/_TCRH725hAM?is=Q8mHERw2P2K5VpaG</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">youtu.be-_tcrh725ham-is-q8mherw2p2k5vpag-181c57d091</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-running-a-177b-model-on-ssd-qwen-3-8-flash-next-surprises-everyone.mp3" type="audio/mpeg" length="2504356" /><itunes:subtitle>A deep dive into how Qwen 3.8 Flash Next's architecture allows running a 177B parameter model on consumer hardware by offloading its N-gram table to an NVMe SSD—without sacrificing speed or quality. Featuring real-world benchmarks, hardware constraints, a</itunes:subtitle><itunes:summary>A deep dive into how Qwen 3.8 Flash Next's architecture allows running a 177B parameter model on consumer hardware by offloading its N-gram table to an NVMe SSD—without sacrificing speed or quality. Featuring real-world benchmarks, hardware constraints, and the future of open-source AI model design.</itunes:summary><itunes:duration>156</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A deep dive into how Qwen 3.8 Flash Next's architecture allows running a 177B parameter model on consumer hardware by offloading its N-gram table to an NVMe SSD—without sacrificing speed or quality. Featuring real-world benchmarks, hardware constraints, and the future of open-source AI model design.

Test Qwen 3.8 Flash Next on your hardware by offloading the N-gram table to an NVMe SSD, then measure your token speed at short and long context lengths to see if your setup can handle frontier-level models.

Show notes:

- Original article: https://youtu.be/_TCRH725hAM?is=Q8mHERw2P2K5VpaG

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-running-a-177b-model-on-ssd-qwen-3-8-flash-next-surprises-everyone.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-running-a-177b-model-on-ssd-qwen-3-8-flash-next-surprises-everyone.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://youtu.be/_TCRH725hAM?is=Q8mHERw2P2K5VpaG" /></item><item><title>The Solar System's First Worlds: 92% Heat-Forged Rock, Gas-Filtered Dust</title><description>A new analysis of carbonaceous iron meteorites reveals that the earliest planetesimals in the outer Solar System were composed of up to 92% chondrules—heat-processed rocky beads—while gas flow filtered out much of the surrounding ice-rich dust. Join an astrophysicist, a science journalist, and a graduate student as they unpack how aerodynamic sorting shaped the building blocks of our cosmic neighborhood.

Visit a natural history museum to see chondrules in meteorites firsthand, or explore the *Nature Astronomy* study linked in the show notes to dive deeper into the chemistry of our Solar System’s earliest building blocks.</description><pubDate>Thu, 24 Sep 2026 04:02:51 GMT</pubDate><link>https://spacedaily.com/t-first-outer-worlds-92-percent-chondrules-gas-filtered-dust/</link><category>General Tech &amp; Culture</category><guid isPermaLink="false">spacedaily.com-t-first-outer-worlds-92-percent-chondrules-gas-filtered-dust--87e4dfa1b8</guid><enclosure url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-the-solar-system-s-first-worlds-92-heat-forged-rock-gas-filtered-dust.mp3" type="audio/mpeg" length="4085361" /><itunes:subtitle>A new analysis of carbonaceous iron meteorites reveals that the earliest planetesimals in the outer Solar System were composed of up to 92% chondrules—heat-processed rocky beads—while gas flow filtered out much of the surrounding ice-rich dust. Join an as</itunes:subtitle><itunes:summary>A new analysis of carbonaceous iron meteorites reveals that the earliest planetesimals in the outer Solar System were composed of up to 92% chondrules—heat-processed rocky beads—while gas flow filtered out much of the surrounding ice-rich dust. Join an astrophysicist, a science journalist, and a graduate student as they unpack how aerodynamic sorting shaped the building blocks of our cosmic neighborhood.</itunes:summary><itunes:duration>255</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><content:encoded>A new analysis of carbonaceous iron meteorites reveals that the earliest planetesimals in the outer Solar System were composed of up to 92% chondrules—heat-processed rocky beads—while gas flow filtered out much of the surrounding ice-rich dust. Join an astrophysicist, a science journalist, and a graduate student as they unpack how aerodynamic sorting shaped the building blocks of our cosmic neighborhood.

Visit a natural history museum to see chondrules in meteorites firsthand, or explore the *Nature Astronomy* study linked in the show notes to dive deeper into the chemistry of our Solar System’s earliest building blocks.

Show notes:

- Original article: https://spacedaily.com/t-first-outer-worlds-92-percent-chondrules-gas-filtered-dust/

- Chapters (JSON): https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-the-solar-system-s-first-worlds-92-heat-forged-rock-gas-filtered-dust.chapters.json</content:encoded><itunes:image href="https://podcast.koala-chameleon.ts.net/podcast-cover.jpg" /><podcast:chapters url="https://podcast.koala-chameleon.ts.net/episodes/2026-09-24-podcast-the-solar-system-s-first-worlds-92-heat-forged-rock-gas-filtered-dust.chapters.json" type="application/json+chapters" /><podcast:link rel="alternate" href="https://spacedaily.com/t-first-outer-worlds-92-percent-chondrules-gas-filtered-dust/" /></item><lastBuildDate>Sat, 10 Oct 2026 15:00:17 GMT</lastBuildDate><ttl>360</ttl></channel></rss>