<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: chaos_emergent</title><link>https://news.ycombinator.com/user?id=chaos_emergent</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Mon, 25 May 2026 21:42:14 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=chaos_emergent" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by chaos_emergent in "California to begin ticketing driverless cars that violate traffic laws"]]></title><description><![CDATA[
<p>We can look to other forms of automation to get a sense of what to do. For example, planes largely fly themselves and a loss of life due to manufacturing errors from the manufacturer would deem them liable for those deaths. Seems like the solution here is large penalties and generally broad disincentives for incurring harm.</p>
]]></description><pubDate>Sat, 02 May 2026 20:03:25 +0000</pubDate><link>https://news.ycombinator.com/item?id=47989934</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47989934</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47989934</guid></item><item><title><![CDATA[New comment by chaos_emergent in "Microsoft and OpenAI end their exclusive and revenue-sharing deal"]]></title><description><![CDATA[
<p>Yeah I think this is more coherent than people realize. Economically relevant knowledge work is things that humans find cognitively demanding. Otherwise they wouldn't be valued in the first place.<p>It ties the definition to economic value, which I think is the best definition that we can conjure given that AGI is otherwise highly subjective. Economically relevant work is dictated by markets, which I think is the best proxy we have for something so ambiguous.</p>
]]></description><pubDate>Mon, 27 Apr 2026 16:30:54 +0000</pubDate><link>https://news.ycombinator.com/item?id=47923761</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47923761</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47923761</guid></item><item><title><![CDATA[New comment by chaos_emergent in "Dear friend, you have built a Kubernetes (2024)"]]></title><description><![CDATA[
<p>I wouldn’t really call it “DIY” per se, k8s has the resource API and you can create whatever scaling policies you want to with it, but I do see how that’s not obvious when it’s advertised as ‘batteries included’</p>
]]></description><pubDate>Sun, 26 Apr 2026 23:46:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=47916091</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47916091</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47916091</guid></item><item><title><![CDATA[New comment by chaos_emergent in "Hyperscalers have already outspent most famous US megaprojects"]]></title><description><![CDATA[
<p>I posted just that on the Twitter feed but then I realized that railroad started at the beginning of an industrial revolution where labor was a far larger portion of GDP compared to industrial production. So it kind of makes sense that the first enabling technology consumed far more GDP than current investments do, even on a marginal basis.</p>
]]></description><pubDate>Fri, 17 Apr 2026 17:13:33 +0000</pubDate><link>https://news.ycombinator.com/item?id=47808214</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47808214</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47808214</guid></item><item><title><![CDATA[New comment by chaos_emergent in "Codex for almost everything"]]></title><description><![CDATA[
<p>Thinking in counterfactuals, how would the hype around Codex would be different if it was organic and because they had built a genuinely good product? Asking as someone who genuinely loves Codex and has been in the OpenAI camp for months after buying a Claude Max plan from November to February.</p>
]]></description><pubDate>Thu, 16 Apr 2026 21:40:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=47799863</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47799863</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47799863</guid></item><item><title><![CDATA[New comment by chaos_emergent in "AI will never be ethical or safe"]]></title><description><![CDATA[
<p>Yeah I hate the title because it almost verges on clickbaity because one assumes that he's making the assertion that AI has a moral stance in the first place, versus AI being morally neutral and driven by its wielder</p>
]]></description><pubDate>Tue, 14 Apr 2026 15:52:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=47767288</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47767288</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47767288</guid></item><item><title><![CDATA[New comment by chaos_emergent in "We've raised $17M to build what comes after Git"]]></title><description><![CDATA[
<p>The reality is that none of that shit matters if you can build a product that people use and want to pay for. I would back someone who has made a dollar off of a product over someone who has built a great product that no one uses 100% of the time.<p>The reality is that you can make a successful business with okay engineering and great product insight. It's much more difficult to build a successful business with great engineering and poor product insight. Getting people to use and pay for what you've built gives you the product insight that you need.</p>
]]></description><pubDate>Fri, 10 Apr 2026 15:30:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=47719637</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47719637</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47719637</guid></item><item><title><![CDATA[New comment by chaos_emergent in "System Card: Claude Mythos Preview [pdf]"]]></title><description><![CDATA[
<p>> All thinking does is burn output tokens for accuracy<p>“All that phenomenon X does is make a tradeoff of Y for Z”<p>It sounds like you’re indignant about it being called thinking, that’s fine, but surely you can realize that the mechanism you’re criticizing actually works really well?</p>
]]></description><pubDate>Tue, 07 Apr 2026 19:46:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=47680434</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47680434</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47680434</guid></item><item><title><![CDATA[New comment by chaos_emergent in "System Card: Claude Mythos Preview [pdf]"]]></title><description><![CDATA[
<p>An alternative but similar  formulation of that statement is that Anthropic has spent more training effort in getting the model to “feel good” rather than being correct on verifiable tasks. Which more or less tracks with my experience of using the model.</p>
]]></description><pubDate>Tue, 07 Apr 2026 19:32:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=47680246</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47680246</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47680246</guid></item><item><title><![CDATA[New comment by chaos_emergent in "The Claude Code Source Leak: fake tools, frustration regexes, undercover mode"]]></title><description><![CDATA[
<p>Most of the value I’ve gotten out of is has been observability. Graph and DAG workflow abstractions just help OTel structure your LLM logs in a clean hierarchy of spans. I could imagine figuring out a better solution to this than the whole graph abstraction.<p>Other than that I’m not too sure.</p>
]]></description><pubDate>Wed, 01 Apr 2026 00:10:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=47595162</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47595162</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47595162</guid></item><item><title><![CDATA[New comment by chaos_emergent in "Claude Code runs Git reset –hard origin/main against project repo every 10 mins"]]></title><description><![CDATA[
<p>Have you considered that Claude set up a crontab that does that programmatically? Every 10 mins seems awfully, idk, regular.</p>
]]></description><pubDate>Mon, 30 Mar 2026 00:49:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=47569153</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47569153</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47569153</guid></item><item><title><![CDATA[New comment by chaos_emergent in "Just Put It on a Map"]]></title><description><![CDATA[
<p>The writer mentioned that people's intuitions about the distribution of land and where it's most valuable are wildly off, what exactly are people's intuitions that run counter to the data presented? It seems fairly intuitive to me that property values, as you get closer to an urban center</p>
]]></description><pubDate>Fri, 20 Mar 2026 18:14:06 +0000</pubDate><link>https://news.ycombinator.com/item?id=47458457</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47458457</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47458457</guid></item><item><title><![CDATA[New comment by chaos_emergent in "Scaling Karpathy's Autoresearch: What Happens When the Agent Gets a GPU Cluster"]]></title><description><![CDATA[
<p>Human-driven research is also brute-force but with a more efficient search strategy. One can think of a parameter that represents research-search-space-navigation efficiency. RL-trained agents will inevitably optimize for that parameter. I agree with your statement insomuch as the value of that efficiency parameter is lower for agents than humans today.<p>It's really hard to imagine that they __won't__ exceed the human value for that efficiency parameter rather soon given that 1. there are plenty of scalar value functions that can represent research efficiency, of which a subset will result in robust training, and 2. that AI labs have a massive incentive to increase their research efficiency overall, along with billions of dollars and really good human researchers working on the problem.</p>
]]></description><pubDate>Thu, 19 Mar 2026 18:49:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=47444047</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47444047</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47444047</guid></item><item><title><![CDATA[New comment by chaos_emergent in "OpenAI resets spending expectations, from $1.4T to $600B"]]></title><description><![CDATA[
<p>I feel like the dropping cost of using AI doesn't tell the full story - I feel like I'm using agents easily a hundred to two hundred times more than I used chat interfaces. The build-out seems entirely reasonable if we believe that there's going to be a similar increase in usage through the rest of the economy as user interfaces are figured out for these models.</p>
]]></description><pubDate>Tue, 24 Feb 2026 20:58:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=47142926</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47142926</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47142926</guid></item><item><title><![CDATA[New comment by chaos_emergent in "Anthropic officially bans using subscription auth for third party use"]]></title><description><![CDATA[
<p>Probably not, they’re like four years old and they’re 2500 people at the company. My guess is that there are but a handful of PMs.</p>
]]></description><pubDate>Thu, 19 Feb 2026 15:05:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=47074553</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47074553</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47074553</guid></item><item><title><![CDATA[New comment by chaos_emergent in "AI adoption and Solow's productivity paradox"]]></title><description><![CDATA[
<p>100% All of the people who are floored by AI capabilities right now are software engineers, and everyone who's extremely skeptical basically has any other office job. On investigating their primary AI interaction surface, it's Microsoft Co-Pilot, which has to be the absolute shittiest implementation of any AI system so far. As a progress-driven person, it's just super disappointing to see how few people are benefiting from the productive gains of these systems.</p>
]]></description><pubDate>Wed, 18 Feb 2026 02:12:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=47056246</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47056246</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47056246</guid></item><item><title><![CDATA[New comment by chaos_emergent in "GPT-5.2 derives a new result in theoretical physics"]]></title><description><![CDATA[
<p>It’s almost like the iteration loop refines itself between <i>checks notes in Sutton</i> search and learning</p>
]]></description><pubDate>Sat, 14 Feb 2026 16:38:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=47015900</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47015900</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47015900</guid></item><item><title><![CDATA[New comment by chaos_emergent in "GPT‑5.3‑Codex‑Spark"]]></title><description><![CDATA[
<p>Not at all, the limitation is software to get the model on the chip and executing correctly. My bet is that they had a FDE who specializes in the chip implement Spark’s architecture on device.</p>
]]></description><pubDate>Fri, 13 Feb 2026 09:18:37 +0000</pubDate><link>https://news.ycombinator.com/item?id=47000713</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=47000713</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47000713</guid></item><item><title><![CDATA[New comment by chaos_emergent in "GPT‑5.3‑Codex‑Spark"]]></title><description><![CDATA[
<p>I think it's a beta so they're trying to figure out pricing by deploying it.</p>
]]></description><pubDate>Thu, 12 Feb 2026 19:33:15 +0000</pubDate><link>https://news.ycombinator.com/item?id=46993848</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=46993848</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46993848</guid></item><item><title><![CDATA[Show HN: GW – manage Git worktrees when you're babysitting multiple AI agents]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/nikhilshinday/gw">https://github.com/nikhilshinday/gw</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46943587">https://news.ycombinator.com/item?id=46943587</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 09 Feb 2026 10:09:57 +0000</pubDate><link>https://github.com/nikhilshinday/gw</link><dc:creator>chaos_emergent</dc:creator><comments>https://news.ycombinator.com/item?id=46943587</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46943587</guid></item></channel></rss>