<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: mrbungie</title><link>https://news.ycombinator.com/user?id=mrbungie</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Thu, 29 Oct 2026 15:23:09 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=mrbungie" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by mrbungie in "Claude Haiku 5.5"]]></title><description><![CDATA[
<p>Yep. I was looking at the prices of lower tier models a few weeks ago for zero/few shot tasks (pre Jev) and Haiku rates just didn't make sense at all. I ended up using 5.6-luna.<p>Good to know that is going back to being an actual option from perf/price perspective.</p>
]]></description><pubDate>Wed, 07 Oct 2026 19:45:09 +0000</pubDate><link>https://news.ycombinator.com/item?id=49997867</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49997867</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49997867</guid></item><item><title><![CDATA[New comment by mrbungie in "Claude is a Contrarian"]]></title><description><![CDATA[
<p>Since LLMs are different between each other (and even version of the same family) I'd expect the differences to be explained by each lab idiosincratic biases in the post-training phase rather than by internet corpora characteristics during the pre-training phase.</p>
]]></description><pubDate>Tue, 15 Sep 2026 00:47:37 +0000</pubDate><link>https://news.ycombinator.com/item?id=49706291</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49706291</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49706291</guid></item><item><title><![CDATA[New comment by mrbungie in "Why don't machine learning research agents overfit?"]]></title><description><![CDATA[
<p>Ah, over-the-top larger-than-life LLM-isms, they are really funny when you see them in a company blog, but they are vomitive when it's your coworker copy-pasting it and insisting you on reading it.</p>
]]></description><pubDate>Mon, 14 Sep 2026 17:44:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=49700908</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49700908</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49700908</guid></item><item><title><![CDATA[New comment by mrbungie in "More questions about whether researchers can trust OpenAI with unpublished math"]]></title><description><![CDATA[
<p>It is an extraordinary claim, it is a millenium prize problem after all. We don't even know, even if there was no copying, how much human involvement there was in the result.</p>
]]></description><pubDate>Sun, 13 Sep 2026 16:19:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=49685665</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49685665</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49685665</guid></item><item><title><![CDATA[New comment by mrbungie in "OpenAI's Sam Altman says it would be 'ill-advised' to go public in 2026"]]></title><description><![CDATA[
<p>> Wall street is less forgiving.<p>We've seen multiple times how "Wall street" is an exit for insiders, with retail investors left holding the bag.</p>
]]></description><pubDate>Sat, 12 Sep 2026 21:57:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=49677628</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49677628</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49677628</guid></item><item><title><![CDATA[New comment by mrbungie in "More questions about whether researchers can trust OpenAI with unpublished math"]]></title><description><![CDATA[
<p>Extraordinary claims require extraordinary evidence.<p>An article post that wouldn't even amount to a white paper + the LEAN proof is not evidence of how they got to produce it.</p>
]]></description><pubDate>Thu, 10 Sep 2026 19:49:59 +0000</pubDate><link>https://news.ycombinator.com/item?id=49649308</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49649308</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49649308</guid></item><item><title><![CDATA[New comment by mrbungie in "AI could kill all humans in next decade, warn experts"]]></title><description><![CDATA[
<p>I mean, a disaster could happen even with properly human-aligned AI. In a "AI makes the shots" world with undecipherable and fast feedback loops, which is the one we are seemingly heading towards, a string of short-sighted decisions made by AI agents may be the only thing separating us from extinction.</p>
]]></description><pubDate>Wed, 09 Sep 2026 17:58:32 +0000</pubDate><link>https://news.ycombinator.com/item?id=49630616</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49630616</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49630616</guid></item><item><title><![CDATA[New comment by mrbungie in "AI could kill all humans in next decade, warn experts"]]></title><description><![CDATA[
<p>You are not seriously suggesting that nature and AI-accelerated gain-of-function research are similar in regards to risks, are you?</p>
]]></description><pubDate>Wed, 09 Sep 2026 17:50:08 +0000</pubDate><link>https://news.ycombinator.com/item?id=49630442</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49630442</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49630442</guid></item><item><title><![CDATA[New comment by mrbungie in "How An AI math breakthrough ignited a controversy"]]></title><description><![CDATA[
<p>They represent different AI usage patterns. OpenAI wants everyone to believe that it was done with a practically autonomous network of thousands of agents with little to no human intervention for 88 hours, while Buckmaster/Alpöge were using AI in a more guided way for months. If OpenAI actually used anything from Buckmaster/Alpöge work they would be misleading the public.</p>
]]></description><pubDate>Wed, 09 Sep 2026 11:33:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=49624748</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49624748</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49624748</guid></item><item><title><![CDATA[New comment by mrbungie in "Tao: Open math problems being non-renewably mined by AI"]]></title><description><![CDATA[
<p>Hopefully. We'll need to wait until mathematicians confirm how easy it is to digest whatever GPT did.</p>
]]></description><pubDate>Wed, 09 Sep 2026 04:04:21 +0000</pubDate><link>https://news.ycombinator.com/item?id=49620789</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49620789</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49620789</guid></item><item><title><![CDATA[New comment by mrbungie in "Tao: Open math problems being non-renewably mined by AI"]]></title><description><![CDATA[
<p>For sure, but this was supposedly ~18 million dollars of compute, afaik 100 pages paper / lean proof and only god knows how many bytes of chat interactions + thought traces. Scale matters.</p>
]]></description><pubDate>Wed, 09 Sep 2026 03:24:52 +0000</pubDate><link>https://news.ycombinator.com/item?id=49620509</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49620509</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49620509</guid></item><item><title><![CDATA[New comment by mrbungie in "Tao: Open math problems being non-renewably mined by AI"]]></title><description><![CDATA[
<p>Probably an AI-written Lean proof is very different to how a human would write it, and some may say it's more like mathy neuralese. For sure it works but it is not human-friendly and needs to be transformed into something more readable and digestible to be able to extract insights from it.<p>Not that different from when trying to read an out-of-control vibe coded codebases, or an sloppy AI long email that someone may send you at 9 AM.</p>
]]></description><pubDate>Wed, 09 Sep 2026 03:21:21 +0000</pubDate><link>https://news.ycombinator.com/item?id=49620477</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49620477</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49620477</guid></item><item><title><![CDATA[New comment by mrbungie in "On the Navier–Stokes Millennium Prize Problem"]]></title><description><![CDATA[
<p>In what world a tweet and a screenshot of a private convo are evidence of good faith? Plain  sociopathic behavior.</p>
]]></description><pubDate>Tue, 08 Sep 2026 19:27:37 +0000</pubDate><link>https://news.ycombinator.com/item?id=49615591</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49615591</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49615591</guid></item><item><title><![CDATA[New comment by mrbungie in "On the Navier–Stokes Millennium Prize Problem"]]></title><description><![CDATA[
<p>We are not in an everything-has-an-API world yet, and it'll for sure take some time to get there.</p>
]]></description><pubDate>Tue, 08 Sep 2026 19:16:22 +0000</pubDate><link>https://news.ycombinator.com/item?id=49615374</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49615374</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49615374</guid></item><item><title><![CDATA[New comment by mrbungie in "On the Navier–Stokes Millennium Prize Problem"]]></title><description><![CDATA[
<p>> 1) The article is written in a way that states clearly they threw a lot of compute at the problem. In api cost millions of dollars.<p>Did I say otherwise?<p>> 2) Millenium Problems have been the goal every AI company wanted to achieve since their diffusion, all companies have thrown a lot of resource to solve these problems, as they are very famous and scientists spent a lot of time trying to solve them. The first company to solve it will remain in history, despite all of you finding excuses about it.<p>I know, but I don't know how that relates to my point, which is about the way they are doing it.</p>
]]></description><pubDate>Tue, 08 Sep 2026 18:44:27 +0000</pubDate><link>https://news.ycombinator.com/item?id=49614833</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49614833</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49614833</guid></item><item><title><![CDATA[New comment by mrbungie in "On the Navier–Stokes Millennium Prize Problem"]]></title><description><![CDATA[
<p>Of course, as any drama, it has been developing into a lot more but the main motivation for OpenAI has been about winning that battle.</p>
]]></description><pubDate>Tue, 08 Sep 2026 18:43:09 +0000</pubDate><link>https://news.ycombinator.com/item?id=49614811</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49614811</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49614811</guid></item><item><title><![CDATA[New comment by mrbungie in "On the Navier–Stokes Millennium Prize Problem"]]></title><description><![CDATA[
<p>Of course AI was involved, you'd expect most mathematicians and researchers to use AI nowadays. This drama is about AI achieving impressive outcomes with little to no human intervention, as that would be signalling AGI.</p>
]]></description><pubDate>Tue, 08 Sep 2026 18:02:54 +0000</pubDate><link>https://news.ycombinator.com/item?id=49614129</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49614129</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49614129</guid></item><item><title><![CDATA[New comment by mrbungie in "On the Navier–Stokes Millennium Prize Problem"]]></title><description><![CDATA[
<p>They are highly capable, no doubt about that, but:<p>1) We don't really know how they arrived to this result except that they had a lead and that they threw millions of compute at the problem. The article is written in a way that makes you believe that it was just an agent loop with little human intervention, but without any evidence.<p>2) If the threats are to be believed, it is concerning how far they are willing to go to show how capable the model is. One would think their products and credibility would be enough to speak for themselves.</p>
]]></description><pubDate>Tue, 08 Sep 2026 17:58:34 +0000</pubDate><link>https://news.ycombinator.com/item?id=49614050</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49614050</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49614050</guid></item><item><title><![CDATA[New comment by mrbungie in "Claude Opus 5"]]></title><description><![CDATA[
<p>Long-term, sure. Short-term it is going to cause a lot of suffering.</p>
]]></description><pubDate>Sat, 25 Jul 2026 11:21:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=49046632</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=49046632</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49046632</guid></item><item><title><![CDATA[New comment by mrbungie in "Better Models: Worse Tools"]]></title><description><![CDATA[
<p>Just add a --verbose flag that shows the stacktrace when there is an error. Then add a footer message when an error appears in non-verbose mode that invites the user/agent to use --verbose to get the full picture.<p>It obviously may end up in thousands of tokens burned through though (you can also fix that adding different levels of verbosity), but hopefully errors are not common.</p>
]]></description><pubDate>Sun, 05 Jul 2026 08:24:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=48792312</link><dc:creator>mrbungie</dc:creator><comments>https://news.ycombinator.com/item?id=48792312</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48792312</guid></item></channel></rss>