<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: lucrbvi</title><link>https://news.ycombinator.com/user?id=lucrbvi</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 28 Jul 2026 00:12:41 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=lucrbvi" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by lucrbvi in "MAI-Cyber 1"]]></title><description><![CDATA[
<p>Seems like MAI models from Microsoft are not going to be open-weight soon, but they are sharing a lot of details in the making of these models, which is a weird position.</p>
]]></description><pubDate>Mon, 27 Jul 2026 17:51:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=49073204</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=49073204</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49073204</guid></item><item><title><![CDATA[New comment by lucrbvi in "LeMario: Training a JEPA World Model on Super Mario Bros"]]></title><description><![CDATA[
<p>Such a gem, thanks to the author for sharing it's findings :)<p>The only problem I have with planing in latent space is that it can be really noisy and not representative of the positions in the game (the latent are trained for semantic, so the optimizer can focus a set of specific features and can skip positions, which means it cannot know "where" to go by optimizing on the latents directly).</p>
]]></description><pubDate>Wed, 15 Jul 2026 00:03:51 +0000</pubDate><link>https://news.ycombinator.com/item?id=48914564</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=48914564</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48914564</guid></item><item><title><![CDATA[New comment by lucrbvi in "A global workspace in language models"]]></title><description><![CDATA[
<p>Anthropic theorize that middle layers in an LLM is a "J-Space" used to "think" about the future answer or about abstract concepts.<p>Their method is used to identify which tokens can appears in which layers of the model.</p>
]]></description><pubDate>Mon, 06 Jul 2026 19:42:57 +0000</pubDate><link>https://news.ycombinator.com/item?id=48809530</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=48809530</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48809530</guid></item><item><title><![CDATA[New comment by lucrbvi in "'Sloppenheimer:' Amazon employees mock the company's AI on Slack"]]></title><description><![CDATA[
<p><a href="http://archive.today/1YRCE" rel="nofollow">http://archive.today/1YRCE</a></p>
]]></description><pubDate>Tue, 09 Jun 2026 16:59:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=48463835</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=48463835</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48463835</guid></item><item><title><![CDATA[New comment by lucrbvi in "Universal Memory Protocol – a shared format for agent memory"]]></title><description><![CDATA[
<p><a href="https://xkcd.com/927/" rel="nofollow">https://xkcd.com/927/</a></p>
]]></description><pubDate>Sat, 06 Jun 2026 21:28:16 +0000</pubDate><link>https://news.ycombinator.com/item?id=48429166</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=48429166</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48429166</guid></item><item><title><![CDATA[Building a Latent World Model of Doom]]></title><description><![CDATA[
<p>Article URL: <a href="https://lucrbvi.com/blog/world-model/">https://lucrbvi.com/blog/world-model/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48265766">https://news.ycombinator.com/item?id=48265766</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 25 May 2026 11:49:01 +0000</pubDate><link>https://lucrbvi.com/blog/world-model/</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=48265766</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48265766</guid></item><item><title><![CDATA[New comment by lucrbvi in "Was my $48K GPU server worth it?"]]></title><description><![CDATA[
<p>In the article the author says they are doing reinforcement learning with LLMs.</p>
]]></description><pubDate>Fri, 22 May 2026 09:58:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=48233872</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=48233872</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48233872</guid></item><item><title><![CDATA[New comment by lucrbvi in "Show HN: Forge – Guardrails take an 8B model from 53% to 99% on agentic tasks"]]></title><description><![CDATA[
<p>How does this differ from dottxt's Outlines[0] on the technical level? Are you using some JSON grammar to force the LM head distribution to follow it?<p>[0]: <a href="https://github.com/dottxt-ai/outlines" rel="nofollow">https://github.com/dottxt-ai/outlines</a></p>
]]></description><pubDate>Tue, 19 May 2026 21:35:01 +0000</pubDate><link>https://news.ycombinator.com/item?id=48200002</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=48200002</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48200002</guid></item><item><title><![CDATA[New comment by lucrbvi in "Show HN: Watch a neural net learn to play Snake"]]></title><description><![CDATA[
<p>it's using webgpu kernels, probably a false positive</p>
]]></description><pubDate>Sat, 16 May 2026 07:20:00 +0000</pubDate><link>https://news.ycombinator.com/item?id=48157664</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=48157664</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48157664</guid></item><item><title><![CDATA[New comment by lucrbvi in "QBE – Compiler Back End"]]></title><description><![CDATA[
<p>I really like QBE but I hope they will make it a true library because I don't want to launch a subprocess to compile a program.</p>
]]></description><pubDate>Fri, 08 May 2026 15:12:11 +0000</pubDate><link>https://news.ycombinator.com/item?id=48064328</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=48064328</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48064328</guid></item><item><title><![CDATA[New comment by lucrbvi in "Show HN: Adam – An embeddable cross-platform AI agent library"]]></title><description><![CDATA[
<p>Cool but why would anyone write an agent in C? Since the language is verbose it seems to be a painful choice to use C for this task.</p>
]]></description><pubDate>Wed, 06 May 2026 15:38:12 +0000</pubDate><link>https://news.ycombinator.com/item?id=48037485</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=48037485</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48037485</guid></item><item><title><![CDATA[New comment by lucrbvi in "DeepSeek v4"]]></title><description><![CDATA[
<p>They have added a lot of optimization focussing on the KV-cache, so they can have a much larger window without eating all the VRAM.<p>The 1M window might be usable, but it will probably underperform against a smaller window of course.</p>
]]></description><pubDate>Fri, 24 Apr 2026 09:12:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=47887656</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=47887656</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47887656</guid></item><item><title><![CDATA[World Models will push the frontier for LLMs]]></title><description><![CDATA[
<p>Article URL: <a href="https://lucrbvi.bearblog.dev/world-models-will-push-the-frontier/">https://lucrbvi.bearblog.dev/world-models-will-push-the-frontier/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47865052">https://news.ycombinator.com/item?id=47865052</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 22 Apr 2026 15:31:04 +0000</pubDate><link>https://lucrbvi.bearblog.dev/world-models-will-push-the-frontier/</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=47865052</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47865052</guid></item><item><title><![CDATA[New comment by lucrbvi in "Stripe's Payment APIs: the first 10 years (2020)"]]></title><description><![CDATA[
<p>Mollie seems to only provide services to business based in European Economic Area, Switzerland and the UK [0], so yes?<p>[0]: <a href="https://help.mollie.com/hc/en-us/articles/115002116105-Can-I-use-Mollie-s-services-in-my-country" rel="nofollow">https://help.mollie.com/hc/en-us/articles/115002116105-Can-I...</a></p>
]]></description><pubDate>Mon, 20 Apr 2026 08:56:53 +0000</pubDate><link>https://news.ycombinator.com/item?id=47831784</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=47831784</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47831784</guid></item><item><title><![CDATA[New comment by lucrbvi in "Stripe's Payment APIs: the first 10 years (2020)"]]></title><description><![CDATA[
<p>Mollie might be a direct competitor</p>
]]></description><pubDate>Mon, 20 Apr 2026 08:17:11 +0000</pubDate><link>https://news.ycombinator.com/item?id=47831569</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=47831569</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47831569</guid></item><item><title><![CDATA[New comment by lucrbvi in "Codex for almost everything"]]></title><description><![CDATA[
<p>Is there anyone that feels that LLMs are wrong for computer use? It's like robotic, if find LLMs alone are really slow for this task</p>
]]></description><pubDate>Thu, 16 Apr 2026 17:37:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=47796836</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=47796836</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47796836</guid></item><item><title><![CDATA[New comment by lucrbvi in "Claude Opus 4.7"]]></title><description><![CDATA[
<p>Some people are speculating that Opus 4.7 is distilled from Mythos due to the new tokenizer (it means Opus 4.7 is a new base model, not just an improved Opus 4.6)</p>
]]></description><pubDate>Thu, 16 Apr 2026 15:17:42 +0000</pubDate><link>https://news.ycombinator.com/item?id=47794472</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=47794472</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47794472</guid></item><item><title><![CDATA[New comment by lucrbvi in "Why Claude Mythos is not AGI"]]></title><description><![CDATA[
<p>Hi! I share my first blog post ever about the definition on AGI following the annoucement of Claude Myhtos Preview.<p>I hope some of you might found this interesting.</p>
]]></description><pubDate>Wed, 08 Apr 2026 11:22:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=47688695</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=47688695</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47688695</guid></item><item><title><![CDATA[Why Claude Mythos is not AGI]]></title><description><![CDATA[
<p>Article URL: <a href="https://lucrbvi.bearblog.dev/claude-mythos-is-not-agi/">https://lucrbvi.bearblog.dev/claude-mythos-is-not-agi/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47688694">https://news.ycombinator.com/item?id=47688694</a></p>
<p>Points: 2</p>
<p># Comments: 1</p>
]]></description><pubDate>Wed, 08 Apr 2026 11:22:36 +0000</pubDate><link>https://lucrbvi.bearblog.dev/claude-mythos-is-not-agi/</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=47688694</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47688694</guid></item><item><title><![CDATA[New comment by lucrbvi in "TurboQuant: Redefining AI efficiency with extreme compression"]]></title><description><![CDATA[
<p>Sounds like Multi-Head Latent Attention (MLA) from DeepSeek</p>
]]></description><pubDate>Wed, 25 Mar 2026 08:50:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=47514903</link><dc:creator>lucrbvi</dc:creator><comments>https://news.ycombinator.com/item?id=47514903</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47514903</guid></item></channel></rss>