<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: mmargenot</title><link>https://news.ycombinator.com/user?id=mmargenot</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sat, 01 Aug 2026 00:47:36 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=mmargenot" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by mmargenot in "Everyone is building LLM routers, we deprecated ours"]]></title><description><![CDATA[
<p>I find this routing problem to be opaque and I’m generally skeptical that the label people are trying to predict is meaningful.<p>If you really need more discrimination of the complexity of an input to get an efficient response, sft or rl tuning something for your harness would be more effective.</p>
]]></description><pubDate>Fri, 31 Jul 2026 19:42:17 +0000</pubDate><link>https://news.ycombinator.com/item?id=49127721</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=49127721</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49127721</guid></item><item><title><![CDATA[New comment by mmargenot in "Google Books (or similar) all book scans – $200k bounty (2025)"]]></title><description><![CDATA[
<p>How do you handle the more densely written pages in script ? I did a very similar exercise OCRing works from this exact collection, but I stuck with the English books for the first pass.</p>
]]></description><pubDate>Sat, 04 Jul 2026 20:44:38 +0000</pubDate><link>https://news.ycombinator.com/item?id=48788908</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=48788908</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48788908</guid></item><item><title><![CDATA[New comment by mmargenot in "Website streamed live directly from a model"]]></title><description><![CDATA[
<p>I love this approach, very Diamond Age. I uploaded a picture of my cat and learned a lot about coat genetics. I think it fixated on his coloration.</p>
]]></description><pubDate>Thu, 23 Apr 2026 12:22:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=47874900</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=47874900</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47874900</guid></item><item><title><![CDATA[New comment by mmargenot in "Stanford report highlights growing disconnect between AI insiders and everyone"]]></title><description><![CDATA[
<p>AI applications that would help normal people in a significant way are pretty lacking, so I'm not surprised. So much conversation about AI products is cycles of "this tech will change everything" without material backup outside of coding agents.</p>
]]></description><pubDate>Mon, 13 Apr 2026 21:46:45 +0000</pubDate><link>https://news.ycombinator.com/item?id=47758243</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=47758243</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47758243</guid></item><item><title><![CDATA[New comment by mmargenot in "Components of a Coding Agent"]]></title><description><![CDATA[
<p>Here’s an explicit example of the above from today using the above dataset: <a href="https://x.com/kaiostephens/status/2040396678176362540?s=46" rel="nofollow">https://x.com/kaiostephens/status/2040396678176362540?s=46</a></p>
]]></description><pubDate>Sat, 04 Apr 2026 20:36:11 +0000</pubDate><link>https://news.ycombinator.com/item?id=47643103</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=47643103</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47643103</guid></item><item><title><![CDATA[New comment by mmargenot in "Show HN: sllm – Split a GPU node with other developers, unlimited tokens"]]></title><description><![CDATA[
<p>This is a great idea! I saw a similar (inverse) idea the other day for pooling compute (<a href="https://github.com/michaelneale/mesh-llm" rel="nofollow">https://github.com/michaelneale/mesh-llm</a>). What are you doing for compute in the backend? Are you locked into a cohort from month to month?</p>
]]></description><pubDate>Sat, 04 Apr 2026 16:55:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=47640846</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=47640846</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47640846</guid></item><item><title><![CDATA[New comment by mmargenot in "Components of a Coding Agent"]]></title><description><![CDATA[
<p>It is more common now to improve models in agentic systems "in the loop" with reinforcement learning. Anthropic is [very likely] doing this in the backend to systematically improve the performance of their models specifically with their tools. I've done this with Goose at Block with more classic post-training approaches because it was before RL really hit the mainstream as an approach for this.<p>If you want to look at some of the tooling and process for this, check out verifiers (<a href="https://github.com/PrimeIntellect-ai/verifiers" rel="nofollow">https://github.com/PrimeIntellect-ai/verifiers</a>), hermes (<a href="https://github.com/nousresearch/hermes-agent" rel="nofollow">https://github.com/nousresearch/hermes-agent</a>) and accompanying trace datasets (<a href="https://huggingface.co/datasets/kai-os/carnice-glm5-hermes-traces" rel="nofollow">https://huggingface.co/datasets/kai-os/carnice-glm5-hermes-t...</a>), and other open source tools and harnesses.</p>
]]></description><pubDate>Sat, 04 Apr 2026 16:47:39 +0000</pubDate><link>https://news.ycombinator.com/item?id=47640748</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=47640748</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47640748</guid></item><item><title><![CDATA[New comment by mmargenot in "Show HN: I built a frontpage for personal blogs"]]></title><description><![CDATA[
<p>Very cool! This was a good impetus to actually add RSS to my blog.</p>
]]></description><pubDate>Fri, 03 Apr 2026 13:26:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=47626447</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=47626447</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47626447</guid></item><item><title><![CDATA[New comment by mmargenot in "I'm OK being left behind, thanks"]]></title><description><![CDATA[
<p>Especially when people pushing it are trying to capture your attention, it’s good to be deliberate about the tech that you introduce.</p>
]]></description><pubDate>Fri, 20 Mar 2026 18:40:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=47458799</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=47458799</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47458799</guid></item><item><title><![CDATA[New comment by mmargenot in "Apple is fighting for TSMC capacity as Nvidia takes center stage"]]></title><description><![CDATA[
<p>Do you have a source for this? Most information I’ve seen around this (e.g. Acquired podcast, from the Costco side) claims strong positive relationships.</p>
]]></description><pubDate>Thu, 15 Jan 2026 23:42:23 +0000</pubDate><link>https://news.ycombinator.com/item?id=46641088</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=46641088</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46641088</guid></item><item><title><![CDATA[New comment by mmargenot in "Ask HN: How are you doing RAG locally?"]]></title><description><![CDATA[
<p>Cursor uses a vector index, some details here: 
<a href="https://cursor.com/docs/context/semantic-search" rel="nofollow">https://cursor.com/docs/context/semantic-search</a></p>
]]></description><pubDate>Thu, 15 Jan 2026 17:34:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=46636171</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=46636171</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46636171</guid></item><item><title><![CDATA[New comment by mmargenot in "Ask HN: How are you doing RAG locally?"]]></title><description><![CDATA[
<p>I made an obsidian extension that does semantic and hybrid (RRF with FTS) search with local models. I have done some knowledge graph and ontology experimentation around this, but nothing that I’d like to include yet.<p>This is specifically a “remembrance agent”, so it surfaces related atoms to what you’re writing rather than doing anything generative.<p>Extension: <a href="https://github.com/mmargenot/tezcat" rel="nofollow">https://github.com/mmargenot/tezcat</a><p>Also available in community plugins.</p>
]]></description><pubDate>Thu, 15 Jan 2026 17:32:17 +0000</pubDate><link>https://news.ycombinator.com/item?id=46636133</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=46636133</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46636133</guid></item><item><title><![CDATA[New comment by mmargenot in "Ridley Scott's Prometheus and Alien: Covenant – Contemporary Horror of AI (2020)"]]></title><description><![CDATA[
<p>I had the good fortune of seeing Lawrence of Arabia in 70mm in a theater and then going to watch Prometheus within the same two week span. It gave me a much greater appreciation for the movie [Prometheus], and what it was trying to do.</p>
]]></description><pubDate>Sun, 12 Oct 2025 21:50:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=45562274</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=45562274</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45562274</guid></item><item><title><![CDATA[New comment by mmargenot in "Mathematicians discover prime number pattern in fractal chaos"]]></title><description><![CDATA[
<p>The patterns associated with primes are inherent to the numbers themselves and not their representations. The numbers are the pattern.</p>
]]></description><pubDate>Wed, 08 Oct 2025 14:03:33 +0000</pubDate><link>https://news.ycombinator.com/item?id=45516332</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=45516332</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45516332</guid></item><item><title><![CDATA[New comment by mmargenot in "Devpush – Open-source and self-hostable alternative to Vercel, Render, Netlify"]]></title><description><![CDATA[
<p>I like the idea of self-hostability, but not having to think about the deployment of the frontend piece has been a huge accelerant for me, someone who typically thinks only of ML and backend components.</p>
]]></description><pubDate>Tue, 07 Oct 2025 13:53:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=45503094</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=45503094</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45503094</guid></item><item><title><![CDATA[New comment by mmargenot in "Will I run Boston 2026?"]]></title><description><![CDATA[
<p>You can also run for a charity by raising sufficient money for a cause that sponsors you.</p>
]]></description><pubDate>Tue, 16 Sep 2025 20:21:28 +0000</pubDate><link>https://news.ycombinator.com/item?id=45267452</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=45267452</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45267452</guid></item><item><title><![CDATA[New comment by mmargenot in "Show HN: AI-powered web service combining FastAPI, Pydantic-AI, and MCP servers"]]></title><description><![CDATA[
<p>`outlines` (<a href="https://github.com/dottxt-ai/outlines" rel="nofollow">https://github.com/dottxt-ai/outlines</a>) is very good and supported by vLLM as a backend structured output provider (<a href="https://docs.vllm.ai/en/v0.8.2/features/structured_outputs.html" rel="nofollow">https://docs.vllm.ai/en/v0.8.2/features/structured_outputs.h...</a>) for both local and remote LLMs. vLLM is probably the best open source tooling for the inference side right now.</p>
]]></description><pubDate>Mon, 15 Sep 2025 22:31:26 +0000</pubDate><link>https://news.ycombinator.com/item?id=45255761</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=45255761</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45255761</guid></item><item><title><![CDATA[New comment by mmargenot in "We can’t circumvent the work needed to train our minds"]]></title><description><![CDATA[
<p>Executing on meaningful knowledge work also might require many different paths, depending on the context and the environment. To me it's more about the method of inquiry and how you begin than it is the specific content. Sure, more individual facts help to guide that inquiry, but at any given moment you're only truly going to be able to recall a subset of those.</p>
]]></description><pubDate>Wed, 10 Sep 2025 17:18:17 +0000</pubDate><link>https://news.ycombinator.com/item?id=45200821</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=45200821</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45200821</guid></item><item><title><![CDATA[New comment by mmargenot in "We can’t circumvent the work needed to train our minds"]]></title><description><![CDATA[
<p>It's weird to read this from zettelkasten.de, given that the method is precisely about cultivating such a graph of knowledge. "Knowing enough to begin" seems to me to be the express purpose of writing and maintaining a zettelkasten and other such tools.</p>
]]></description><pubDate>Wed, 10 Sep 2025 17:14:01 +0000</pubDate><link>https://news.ycombinator.com/item?id=45200774</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=45200774</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45200774</guid></item><item><title><![CDATA[New comment by mmargenot in "We can’t circumvent the work needed to train our minds"]]></title><description><![CDATA[
<p>> You have to remember EVERYTHING. Only then you can perform the cognitive tasks necessary to perform meaningful knowledge work.<p>You don't have to remember everything. You have to remember enough entry points and the shape of what follows, trained through experience and going through the process of thinking and writing, to reason your way through meaningful knowledge work.</p>
]]></description><pubDate>Wed, 10 Sep 2025 16:01:13 +0000</pubDate><link>https://news.ycombinator.com/item?id=45199662</link><dc:creator>mmargenot</dc:creator><comments>https://news.ycombinator.com/item?id=45199662</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45199662</guid></item></channel></rss>