<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: nvmdbljstm</title><link>https://news.ycombinator.com/user?id=nvmdbljstm</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Fri, 30 Oct 2026 11:28:10 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=nvmdbljstm" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by nvmdbljstm in "Mistral 4 had a release, makes it comparable to Chinese open-weight models"]]></title><description><![CDATA[
<p>~3x cheaper and ~3x quicker</p>
]]></description><pubDate>Fri, 30 Oct 2026 09:27:45 +0000</pubDate><link>https://news.ycombinator.com/item?id=50301538</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50301538</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50301538</guid></item><item><title><![CDATA[Mistral 4 had a release, makes it comparable to Chinese open-weight models]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.reuters.com/world/china/mistral-ceo-says-new-ai-model-beats-chinese-ones-some-areas-2026-10-06/">https://www.reuters.com/world/china/mistral-ceo-says-new-ai-model-beats-chinese-ones-some-areas-2026-10-06/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50301537">https://news.ycombinator.com/item?id=50301537</a></p>
<p>Points: 3</p>
<p># Comments: 1</p>
]]></description><pubDate>Fri, 30 Oct 2026 09:27:45 +0000</pubDate><link>https://www.reuters.com/world/china/mistral-ceo-says-new-ai-model-beats-chinese-ones-some-areas-2026-10-06/</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50301537</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50301537</guid></item><item><title><![CDATA[Open Source or Custom in Enterprise AI Systems?]]></title><description><![CDATA[
<p>Article URL: <a href="https://deepsense.ai/blog/when-code-gets-cheaper-judgment-gets-more-precious-quality-bottlenecks-in-enterprise-ai-systems/">https://deepsense.ai/blog/when-code-gets-cheaper-judgment-gets-more-precious-quality-bottlenecks-in-enterprise-ai-systems/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50287093">https://news.ycombinator.com/item?id=50287093</a></p>
<p>Points: 4</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 29 Oct 2026 10:56:07 +0000</pubDate><link>https://deepsense.ai/blog/when-code-gets-cheaper-judgment-gets-more-precious-quality-bottlenecks-in-enterprise-ai-systems/</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50287093</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50287093</guid></item><item><title><![CDATA[Control Planes of Agentic AI Infrastructure for Reliable Software Delivery]]></title><description><![CDATA[
<p>Article URL: <a href="https://deepsense.ai/blog/the-5-control-planes-of-agentic-ai-infrastructure-for-reliable-software-delivery/">https://deepsense.ai/blog/the-5-control-planes-of-agentic-ai-infrastructure-for-reliable-software-delivery/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50287073">https://news.ycombinator.com/item?id=50287073</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 29 Oct 2026 10:54:29 +0000</pubDate><link>https://deepsense.ai/blog/the-5-control-planes-of-agentic-ai-infrastructure-for-reliable-software-delivery/</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50287073</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50287073</guid></item><item><title><![CDATA[New comment by nvmdbljstm in "The concept of wrapping your CLIs to make them more token-efficient [video]"]]></title><description><![CDATA[
<p>Good point—though, tbh I’ve never benchmarked this myself. I just looked at the RTK gain, and it seemed to do the job." That said, because of my specific sandbox configuration, I’ve added gh and git to my "excluded tools" list, so I’m in no position to compare it against gh-axi.</p>
]]></description><pubDate>Wed, 28 Oct 2026 14:10:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=50273879</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50273879</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50273879</guid></item><item><title><![CDATA[New comment by nvmdbljstm in "The concept of wrapping your CLIs to make them more token-efficient [video]"]]></title><description><![CDATA[
<p>Here’s an example of gh-axi, which wraps the GitHub CLI and prepares the most relevant information for agents—so the LLM doesn’t have to filter it out itself. So simple! I haven’t yet formed an opinion on whether this is overengineering or a genuine way to save time and money; I also haven’t looked into how it compares to the cost savings provided by RTK.</p>
]]></description><pubDate>Wed, 28 Oct 2026 14:06:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=50273812</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50273812</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50273812</guid></item><item><title><![CDATA[The concept of wrapping your CLIs to make them more token-efficient [video]]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.youtube.com/watch?v=TlmTypTQFj8">https://www.youtube.com/watch?v=TlmTypTQFj8</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50273800">https://news.ycombinator.com/item?id=50273800</a></p>
<p>Points: 3</p>
<p># Comments: 4</p>
]]></description><pubDate>Wed, 28 Oct 2026 14:05:56 +0000</pubDate><link>https://www.youtube.com/watch?v=TlmTypTQFj8</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50273800</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50273800</guid></item><item><title><![CDATA[New comment by nvmdbljstm in "Ask HN: Has anyone used Phoenix, Langfuse, or OpenObserve?"]]></title><description><![CDATA[
<p>Thanks a lot for your perspective. I needed a comparison cause I only used Phoenix. Its architecture is extremely simple. Tracing is nice, I didn't have any complaints. All other features like evaluations, datasets, prompts - I'd use a separate tool for this.</p>
]]></description><pubDate>Wed, 28 Oct 2026 08:58:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=50270821</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50270821</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50270821</guid></item><item><title><![CDATA[New comment by nvmdbljstm in "Astroterm: A Planetarium for Your Terminal"]]></title><description><![CDATA[
<p>Regardless of whether it’s useful or not, the level of creative intelligence is impressive</p>
]]></description><pubDate>Wed, 28 Oct 2026 08:30:08 +0000</pubDate><link>https://news.ycombinator.com/item?id=50270652</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50270652</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50270652</guid></item><item><title><![CDATA[Astroterm: A Planetarium for Your Terminal]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/da-luce/astroterm">https://github.com/da-luce/astroterm</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50270651">https://news.ycombinator.com/item?id=50270651</a></p>
<p>Points: 155</p>
<p># Comments: 14</p>
]]></description><pubDate>Wed, 28 Oct 2026 08:29:55 +0000</pubDate><link>https://github.com/da-luce/astroterm</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50270651</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50270651</guid></item><item><title><![CDATA[Harness-aware evaluation of plugins (OpenAI Cookbook)]]></title><description><![CDATA[
<p>Article URL: <a href="https://developers.openai.com/cookbook/examples/partners/harness_aware_plugin_evals/harness_aware_plugin_evals">https://developers.openai.com/cookbook/examples/partners/harness_aware_plugin_evals/harness_aware_plugin_evals</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50260007">https://news.ycombinator.com/item?id=50260007</a></p>
<p>Points: 4</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 27 Oct 2026 14:32:08 +0000</pubDate><link>https://developers.openai.com/cookbook/examples/partners/harness_aware_plugin_evals/harness_aware_plugin_evals</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50260007</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50260007</guid></item><item><title><![CDATA[Ask HN: Has anyone used Phoenix, Langfuse, or OpenObserve?]]></title><description><![CDATA[
<p>What worked well, and what issues or limitations did you run into?</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50257116">https://news.ycombinator.com/item?id=50257116</a></p>
<p>Points: 5</p>
<p># Comments: 6</p>
]]></description><pubDate>Tue, 27 Oct 2026 10:44:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=50257116</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50257116</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50257116</guid></item><item><title><![CDATA[Ski buddy – no one knew they needed one, yet everyone did]]></title><description><![CDATA[
<p>Article URL: <a href="https://chat.onthesnow.com/">https://chat.onthesnow.com/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50240812">https://news.ycombinator.com/item?id=50240812</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 26 Oct 2026 08:32:42 +0000</pubDate><link>https://chat.onthesnow.com/</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50240812</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50240812</guid></item><item><title><![CDATA[LoRA can reduce GPU memory requirements from 42 GB to 7 GB [video]]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.youtube.com/watch?v=3lqcCs3jVdk">https://www.youtube.com/watch?v=3lqcCs3jVdk</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50207303">https://news.ycombinator.com/item?id=50207303</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 23 Oct 2026 11:26:34 +0000</pubDate><link>https://www.youtube.com/watch?v=3lqcCs3jVdk</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50207303</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50207303</guid></item><item><title><![CDATA[A framework for evaluating agentic AI systems]]></title><description><![CDATA[
<p>Article URL: <a href="https://deepsense.ai/blog/your-agent-passed-the-eval-should-you-ship-it/">https://deepsense.ai/blog/your-agent-passed-the-eval-should-you-ship-it/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50192356">https://news.ycombinator.com/item?id=50192356</a></p>
<p>Points: 4</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 22 Oct 2026 07:32:51 +0000</pubDate><link>https://deepsense.ai/blog/your-agent-passed-the-eval-should-you-ship-it/</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50192356</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50192356</guid></item><item><title><![CDATA[Anthropic wrote about replacing Git for their monorepo]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.anthropic.com/research/redesigning-source-control">https://www.anthropic.com/research/redesigning-source-control</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50181921">https://news.ycombinator.com/item?id=50181921</a></p>
<p>Points: 4</p>
<p># Comments: 1</p>
]]></description><pubDate>Wed, 21 Oct 2026 14:45:03 +0000</pubDate><link>https://www.anthropic.com/research/redesigning-source-control</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50181921</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50181921</guid></item><item><title><![CDATA[New comment by nvmdbljstm in "AI Testing vs. Software Testing"]]></title><description><![CDATA[
<p>How do the principles of traditional Quality Engineering apply to systems built on top of LLMs? In the article, I look at what it takes to move from a deterministic approach to a probabilistic one in modern AI delivery.</p>
]]></description><pubDate>Wed, 21 Oct 2026 12:21:12 +0000</pubDate><link>https://news.ycombinator.com/item?id=50179690</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50179690</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50179690</guid></item><item><title><![CDATA[AI Testing vs. Software Testing]]></title><description><![CDATA[
<p>Article URL: <a href="https://deepsense.ai/blog/ai-testing-vs-software-testing-how-to-build-reliable-production-ai-systems/">https://deepsense.ai/blog/ai-testing-vs-software-testing-how-to-build-reliable-production-ai-systems/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50179680">https://news.ycombinator.com/item?id=50179680</a></p>
<p>Points: 3</p>
<p># Comments: 1</p>
]]></description><pubDate>Wed, 21 Oct 2026 12:20:22 +0000</pubDate><link>https://deepsense.ai/blog/ai-testing-vs-software-testing-how-to-build-reliable-production-ai-systems/</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50179680</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50179680</guid></item><item><title><![CDATA[Show HN: A practical framework for evaluating agentic AI systems]]></title><description><![CDATA[
<p>Article URL: <a href="https://deepsense.ai/blog/your-agent-passed-the-eval-should-you-ship-it/">https://deepsense.ai/blog/your-agent-passed-the-eval-should-you-ship-it/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=50162634">https://news.ycombinator.com/item?id=50162634</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 20 Oct 2026 07:45:13 +0000</pubDate><link>https://deepsense.ai/blog/your-agent-passed-the-eval-should-you-ship-it/</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50162634</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50162634</guid></item><item><title><![CDATA[New comment by nvmdbljstm in "Anyone Used the OAI Batch API or Azure OAI Batch API for Bulk Data Processing?"]]></title><description><![CDATA[
<p>How was your experience with reliability, turnaround time, and cost efficiency? Any issues or lessons learned? How it compares to Claude Batch API?</p>
]]></description><pubDate>Tue, 20 Oct 2026 07:43:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=50162626</link><dc:creator>nvmdbljstm</dc:creator><comments>https://news.ycombinator.com/item?id=50162626</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50162626</guid></item></channel></rss>