<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: armcat</title><link>https://news.ycombinator.com/user?id=armcat</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Fri, 15 May 2026 10:05:40 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=armcat" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by armcat in "Screenshots of Old Desktop OSes"]]></title><description><![CDATA[
<p>Sun Solaris PPC (CDE) takes me back. I've built plenty of 3G/WCDMA telephony code on that thing. It never let me down.</p>
]]></description><pubDate>Tue, 12 May 2026 17:31:20 +0000</pubDate><link>https://news.ycombinator.com/item?id=48111460</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=48111460</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48111460</guid></item><item><title><![CDATA[ZAYA1-8B: Frontier intelligence density, trained on AMD]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.zyphra.com/post/zaya1-8b">https://www.zyphra.com/post/zaya1-8b</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48045608">https://news.ycombinator.com/item?id=48045608</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 07 May 2026 05:07:31 +0000</pubDate><link>https://www.zyphra.com/post/zaya1-8b</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=48045608</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48045608</guid></item><item><title><![CDATA[New comment by armcat in "Show HN: A Karpathy-style LLM wiki your agents maintain (Markdown and Git)"]]></title><description><![CDATA[
<p>Any particular reason for BM25? Why not just a table of contents or index structure (json, md, whatever) that is updated automatically and fed in context at query time? I know bag of words is great for speed but even at 1000s of documents, the index can be quite cheap and will maximise precision</p>
]]></description><pubDate>Sat, 25 Apr 2026 10:06:21 +0000</pubDate><link>https://news.ycombinator.com/item?id=47900176</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47900176</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47900176</guid></item><item><title><![CDATA[Building agents that reach production systems with MCP]]></title><description><![CDATA[
<p>Article URL: <a href="https://claude.com/blog/building-agents-that-reach-production-systems-with-mcp">https://claude.com/blog/building-agents-that-reach-production-systems-with-mcp</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47872044">https://news.ycombinator.com/item?id=47872044</a></p>
<p>Points: 4</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 23 Apr 2026 03:41:14 +0000</pubDate><link>https://claude.com/blog/building-agents-that-reach-production-systems-with-mcp</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47872044</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47872044</guid></item><item><title><![CDATA[Andon Cafe – A cafe in Stockholm run by AI]]></title><description><![CDATA[
<p>Article URL: <a href="https://andon.cafe/">https://andon.cafe/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47867328">https://news.ycombinator.com/item?id=47867328</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 22 Apr 2026 18:23:31 +0000</pubDate><link>https://andon.cafe/</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47867328</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47867328</guid></item><item><title><![CDATA[AI Agent Traps (DeepMind)]]></title><description><![CDATA[
<p>Article URL: <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6372438">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6372438</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47831602">https://news.ycombinator.com/item?id=47831602</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 20 Apr 2026 08:24:23 +0000</pubDate><link>https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6372438</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47831602</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47831602</guid></item><item><title><![CDATA[Ask HN: In the AI world what does "great" look like?]]></title><description><![CDATA[
<p>I had a chat with my team mate today and they brought up an interesting point. If AI is cooking our software and doing an amazing job, for us devs what does "great" look like? How do WE improve? How do we assess performance of us, i.e. "the humans"? What do we base salaries on?<p>Have you discussed this in your organisations? Does anyone have a plan? If your dev teams are creating scaffolding, harnesses, skills and getting CC to cook up everything, make PRs, perform reviews, find bugs, fix bugs, update architecture diagrams....what goals do you set in performance development talks?<p>Need some guidance.</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47809594">https://news.ycombinator.com/item?id=47809594</a></p>
<p>Points: 3</p>
<p># Comments: 1</p>
]]></description><pubDate>Fri, 17 Apr 2026 19:23:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=47809594</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47809594</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47809594</guid></item><item><title><![CDATA[Qwen3.6-35B-A3B draws a better pelican than Opus 4.7]]></title><description><![CDATA[
<p>Article URL: <a href="https://twitter.com/simonw/status/2044830134885306701">https://twitter.com/simonw/status/2044830134885306701</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47797020">https://news.ycombinator.com/item?id=47797020</a></p>
<p>Points: 5</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 16 Apr 2026 17:50:54 +0000</pubDate><link>https://twitter.com/simonw/status/2044830134885306701</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47797020</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47797020</guid></item><item><title><![CDATA[New comment by armcat in "Codex for almost everything"]]></title><description><![CDATA[
<p>Is it OpenAI Cowork?</p>
]]></description><pubDate>Thu, 16 Apr 2026 17:25:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=47796661</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47796661</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47796661</guid></item><item><title><![CDATA[ChatGPT for Excel]]></title><description><![CDATA[
<p>Article URL: <a href="https://chatgpt.com/apps/spreadsheets/">https://chatgpt.com/apps/spreadsheets/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47785397">https://news.ycombinator.com/item?id=47785397</a></p>
<p>Points: 341</p>
<p># Comments: 198</p>
]]></description><pubDate>Wed, 15 Apr 2026 21:21:05 +0000</pubDate><link>https://chatgpt.com/apps/spreadsheets/</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47785397</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47785397</guid></item><item><title><![CDATA[Language models transmit behavioural traits through hidden signals in data]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.nature.com/articles/s41586-026-10319-8">https://www.nature.com/articles/s41586-026-10319-8</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47784352">https://news.ycombinator.com/item?id=47784352</a></p>
<p>Points: 4</p>
<p># Comments: 2</p>
]]></description><pubDate>Wed, 15 Apr 2026 19:53:25 +0000</pubDate><link>https://www.nature.com/articles/s41586-026-10319-8</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47784352</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47784352</guid></item><item><title><![CDATA[The AI Layoff Trap]]></title><description><![CDATA[
<p>Article URL: <a href="https://arxiv.org/abs/2603.20617">https://arxiv.org/abs/2603.20617</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47748123">https://news.ycombinator.com/item?id=47748123</a></p>
<p>Points: 62</p>
<p># Comments: 104</p>
]]></description><pubDate>Mon, 13 Apr 2026 05:56:49 +0000</pubDate><link>https://arxiv.org/abs/2603.20617</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47748123</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47748123</guid></item><item><title><![CDATA[New comment by armcat in "Claude for Word in Now in Beta"]]></title><description><![CDATA[
<p>As someone who's been working in legaltech space where MS Word add-in chatbot was a killer feature, this is brutal. And in their demo they are hammering on the legal case (redline chat).</p>
]]></description><pubDate>Fri, 10 Apr 2026 19:49:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=47722816</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47722816</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47722816</guid></item><item><title><![CDATA[Claude for Word in Now in Beta]]></title><description><![CDATA[
<p>Article URL: <a href="https://twitter.com/claudeai/status/2042670341915295865">https://twitter.com/claudeai/status/2042670341915295865</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47722236">https://news.ycombinator.com/item?id=47722236</a></p>
<p>Points: 6</p>
<p># Comments: 3</p>
]]></description><pubDate>Fri, 10 Apr 2026 19:02:11 +0000</pubDate><link>https://twitter.com/claudeai/status/2042670341915295865</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47722236</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47722236</guid></item><item><title><![CDATA[New comment by armcat in "Components of a Coding Agent"]]></title><description><![CDATA[
<p>I still find it incredible at the power that was unleashed by surrounding an LLM with a simple state machine, and giving it access to bash</p>
]]></description><pubDate>Sat, 04 Apr 2026 15:42:42 +0000</pubDate><link>https://news.ycombinator.com/item?id=47640021</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47640021</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47640021</guid></item><item><title><![CDATA[New comment by armcat in "CERN uses ultra-compact AI models on FPGAs for real-time LHC data filtering"]]></title><description><![CDATA[
<p>Not on the same extreme level, but I know that some coffee machines use a tiny CNN based model locally/embedded. There is a small super cheap camera integrated in the coffee machine, and the model does three things: (1) classifies the container type in order to select type of coffee, (2) image segmentation - to determine where the cup/hole is placed, (3) regression - to determine the volume and regulate how much coffee to pour.</p>
]]></description><pubDate>Sat, 28 Mar 2026 11:14:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=47553522</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47553522</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47553522</guid></item><item><title><![CDATA[Show HN: The Economics of Builder Saturation in Digital Markets]]></title><description><![CDATA[
<p>I formalised something most of us already feel but rarely say out loud: making things easier to build doesn't make things easier to succeed with.<p>Personal version: I've vibe-coded maybe 15 projects since the beginning of this year. Two are still alive. At work, our teams built hundreds of custom GPTs and dashboards. Handful survived. The failure mode was never "couldn't build it" - it was "nobody had the bandwidth to care."<p>So I wrote a paper about it. It combines Herbert Simon's attention scarcity, free-entry IO models, superstar economics, and preferential attachment into one framework. The central result: equilibrium attention per builder = k/p (entry cost over monetisation rate), independent of market size. As AI drives k towards 0, that ratio vanishes regardless of how much the market grows. Free entry absorbs everything.<p>Calibrated to the App Store (800K publishers, 38B downloads) the model matches observed concentration pretty well - top 1% get ~70% of downloads, quarter of apps under 100 downloads, Gini above 0.9.<p>The same mechanism works inside organisations (dashboard sprawl, GPT graveyards, tool fatigue) and across markets. It's the same math: finite attention, elastic production, winner-take-most.<p>I just got a bit fed up with the narrative I am constantly seeing online: that everyone will be a successful builder with AI; just build; forget about "everything else" that you do - if you aren't vibe coding, you aren't doing anything. And I'm saying this as an AI engineer who has built dozens of models and in the recent times many apps with Claude Code and Codex. I thought it's time to shine some mathematics on this.<p>Paper: <a href="https://arxiv.org/abs/2603.23685" rel="nofollow">https://arxiv.org/abs/2603.23685</a><p>PS. I was very inspired by Herbert Simon (Nobel Prize in Economics) and ironically enough, he is also considered one of the "founders of AI".</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47542386">https://news.ycombinator.com/item?id=47542386</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 27 Mar 2026 13:26:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=47542386</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47542386</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47542386</guid></item><item><title><![CDATA[AI Efficiency Courses]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/PrunaAI/ai-efficiency-courses">https://github.com/PrunaAI/ai-efficiency-courses</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47522378">https://news.ycombinator.com/item?id=47522378</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 25 Mar 2026 19:59:17 +0000</pubDate><link>https://github.com/PrunaAI/ai-efficiency-courses</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47522378</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47522378</guid></item><item><title><![CDATA[New comment by armcat in "Quantization from the Ground Up"]]></title><description><![CDATA[
<p>This is beautifully written and visualised, well done! The KL divergence comparisons between original and different quantisation levels is on-point. I'm not sure people realize how powerful quantisation methods are and what they've done for democratising local AI. And there are some great players out there like Unsloth and Pruna.</p>
]]></description><pubDate>Wed, 25 Mar 2026 16:53:08 +0000</pubDate><link>https://news.ycombinator.com/item?id=47519986</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47519986</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47519986</guid></item><item><title><![CDATA[Design.md]]></title><description><![CDATA[
<p>Article URL: <a href="https://stitch.withgoogle.com/docs/design-md/overview/">https://stitch.withgoogle.com/docs/design-md/overview/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47456828">https://news.ycombinator.com/item?id=47456828</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 20 Mar 2026 16:21:30 +0000</pubDate><link>https://stitch.withgoogle.com/docs/design-md/overview/</link><dc:creator>armcat</dc:creator><comments>https://news.ycombinator.com/item?id=47456828</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47456828</guid></item></channel></rss>