<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: jrowen</title><link>https://news.ycombinator.com/user?id=jrowen</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 20 Oct 2026 10:27:47 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=jrowen" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by jrowen in "90% of US working hours are spent on tasks not covered well by AI benchmarks"]]></title><description><![CDATA[
<p>I've been so unconvinced by any of these arguments, that all seem to amount to "because I said so." If it can design software that is out of our reach, it can design hardware. It can look at manufacturing data and identify optimizations. "Fairly useless at everything else"? The denial is getting scary, and it's going to come back and bite us.</p>
]]></description><pubDate>Sat, 17 Oct 2026 18:13:58 +0000</pubDate><link>https://news.ycombinator.com/item?id=50133542</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50133542</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50133542</guid></item><item><title><![CDATA[New comment by jrowen in "90% of US working hours are spent on tasks not covered well by AI benchmarks"]]></title><description><![CDATA[
<p><i>1. The discussion setup where you imagine a counterfactual is given by magic does not entail that magic can do any other thing you choose.</i><p>My question was a sincere ask to define, in this scenario, what is prohibiting that other magic?</p>
]]></description><pubDate>Fri, 16 Oct 2026 22:27:11 +0000</pubDate><link>https://news.ycombinator.com/item?id=50125601</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50125601</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50125601</guid></item><item><title><![CDATA[New comment by jrowen in "90% of US working hours are spent on tasks not covered well by AI benchmarks"]]></title><description><![CDATA[
<p>Nope. I don't know what that proves. I couldn't have come up with a solution to Navier-Stokes either.</p>
]]></description><pubDate>Fri, 16 Oct 2026 21:11:58 +0000</pubDate><link>https://news.ycombinator.com/item?id=50124788</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50124788</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50124788</guid></item><item><title><![CDATA[New comment by jrowen in "90% of US working hours are spent on tasks not covered well by AI benchmarks"]]></title><description><![CDATA[
<p>Our starting assumption was "Imagine I give you for free the perfect trash picking robot control AI software." If AI can deliver that, why can't it figure out how to take a Boston Dynamics dog, design it for trash picking, and optimize manufacturing costs?</p>
]]></description><pubDate>Fri, 16 Oct 2026 21:11:17 +0000</pubDate><link>https://news.ycombinator.com/item?id=50124780</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50124780</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50124780</guid></item><item><title><![CDATA[New comment by jrowen in "90% of US working hours are spent on tasks not covered well by AI benchmarks"]]></title><description><![CDATA[
<p>I think the stakes are higher for a building than most slop. Someone still has to pay for it.<p>In fact, a lot of stuff is already slop, largely because of the design and engineering expertise required. I don't think one-shotting "design me a house in the style of Frank Lloyd Wright with these specifications" is that far off.</p>
]]></description><pubDate>Fri, 16 Oct 2026 20:30:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=50124212</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50124212</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50124212</guid></item><item><title><![CDATA[New comment by jrowen in "90% of US working hours are spent on tasks not covered well by AI benchmarks"]]></title><description><![CDATA[
<p>Again I don't think it's any less straightforward than "give you for free the perfect trash picking robot control AI software". The whole point is they can do better than us on these tasks.</p>
]]></description><pubDate>Fri, 16 Oct 2026 19:29:59 +0000</pubDate><link>https://news.ycombinator.com/item?id=50123309</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50123309</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50123309</guid></item><item><title><![CDATA[New comment by jrowen in "90% of US working hours are spent on tasks not covered well by AI benchmarks"]]></title><description><![CDATA[
<p>We already have versions of these robots. I don't think it's as wildly unsolved as you make it out to be. A few key efficiencies gained in any part of the process could tip the scales. I would bet something decent is on the market within 10 years.<p>If it's not C3PO it's a Boston Dynamics dog with a couple appendages, better software, and automated manufacturing.</p>
]]></description><pubDate>Fri, 16 Oct 2026 18:57:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=50122827</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50122827</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50122827</guid></item><item><title><![CDATA[New comment by jrowen in "90% of US working hours are spent on tasks not covered well by AI benchmarks"]]></title><description><![CDATA[
<p>I don't follow. What's the implication?<p>Imagine I give you a perfect roadmap to build that robot...<p>Responding to your edit, none of those things strike me as any more challenging than the control software.</p>
]]></description><pubDate>Fri, 16 Oct 2026 18:40:53 +0000</pubDate><link>https://news.ycombinator.com/item?id=50122538</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50122538</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50122538</guid></item><item><title><![CDATA[New comment by jrowen in "90% of US working hours are spent on tasks not covered well by AI benchmarks"]]></title><description><![CDATA[
<p>Yeah I think they're definitely coming for architecture. A lot of it is just solving for constraints. The more artistic side will still require a human...at first.<p>You don't even need Autodesk. You can have Claude whip up a web app and build a higher level understanding of the building and then translate it to whatever output or format you desire.</p>
]]></description><pubDate>Fri, 16 Oct 2026 18:15:07 +0000</pubDate><link>https://news.ycombinator.com/item?id=50122158</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50122158</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50122158</guid></item><item><title><![CDATA[New comment by jrowen in "90% of US working hours are spent on tasks not covered well by AI benchmarks"]]></title><description><![CDATA[
<p>It's interesting, the digital/physical barrier seems like the last line of defense we have against metastasized indifferent agents. Once they start causing problems, how are we gonna feel about robotics? Clearly a future where all of the "thinking problems" are easily solved but we still have to pick up trash kinda sucks. I'm sure they'll figure that out for us though.</p>
]]></description><pubDate>Fri, 16 Oct 2026 18:12:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=50122124</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50122124</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50122124</guid></item><item><title><![CDATA[New comment by jrowen in "The gap in shared understanding of LLM capability is widening"]]></title><description><![CDATA[
<p><i>There is a truism in organizations that 1 engineer can do in 1 month, what 8 engineers can do in 8 months.</i><p>The mythical man-month is an interesting point. I think there are limitations or hurdles to human collaboration, in that sense, that may not exist for them. Wildly different experience levels, knowledge levels, emotional states, and goals. Games of telephone and other misunderstandings. One big reason you can't easily increase velocity by adding team members is that the existing team has to stop to train them.<p>An agent is already a perfect stand-in for another agent with a bit of context. That's why I'm comparing them to neurons. They're highly fungible. Think orchestration, compartmentalization, and hierarchy more than GPU-style parallelization.<p>Regarding your experiments with networks of agents, a lot of "primordial soup" bounced around for a long time before more complex structures formed. I'm reminded of Shawshank Redemption - "all it takes is pressure and time."<p><i>The implication i'm pushing back on is that parallelization lets them assemble something greater than the sum of its parts.</i><p>What about all of the examples I described where that happens in nature? Even though humans are hard to orchestrate, we do still have things like CERN and space rockets. Personally I would take my stance as the null hypothesis that needs to be proven wrong.<p><i>HF was a failure - an insight into the quirks of the model after they compacted their context 25 times.</i><p>That's a human framing, nature doesn't know the difference. Look at all the explorations and quirks and dead ends of evolution. It's a mess, but it moves forward. This mess is moving at unfathomable speeds in comparison.</p>
]]></description><pubDate>Fri, 16 Oct 2026 17:59:33 +0000</pubDate><link>https://news.ycombinator.com/item?id=50121931</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50121931</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50121931</guid></item><item><title><![CDATA[New comment by jrowen in "The gap in shared understanding of LLM capability is widening"]]></title><description><![CDATA[
<p>You don't think there's anything interesting about HuggingFace? The fact that they independently organized a communication channel, and arrived at the concept of individual sacrifice for the greater mission, and used the tools available to them to learn more about the world, ignoring what they were told?<p><i>> the trick of scaling really isn't all that mind-bending beyond increasing an integer somewhere to gamble with more money.</i><p>What's the big difference between a cell and an animal? A molecule and a protein? A nucleotide and DNA? A human and a society (or a corporation)? Taking a functional unit and putting a lot of them together with some semblance of coordination represents a step change in complexity and capability. I think people are caught up on the model and this monolithic concept of intelligence but even for us it's just layers of swarms of simple things working together.<p>Why is it tough to understand what's going on in our brains? Because there's 100 billion neurons and 500 trillion synapses. We get neurons pretty well. And yet we don't know how to identify "a memory".<p><i>> I'm sure there are 5000 people experiencing something unique and categorically different with dealing with problems, but unique does not mean they're the place for a glimpse into the future or holders of exclusive insights.</i><p>It's not really about those people. It's about all of humanity having created something from first principles that is really starting to outstrip our understanding. They just happen to be in a position right now where they do have a unique vantage point. Don't worry, you're right, they're not that special, it's not about that. But they are very clearly getting results. It can't be said that it just adds more dirt.<p>Even if there's just one or two unquestionable results at this time, how many will there be in 5 years? 10 years? You don't think we're at the ENIAC stage of superintelligence right now? Is it a fluke or is the government gonna slow it down? These kinds of results have been demonstrated to be within reach, there's blood in the water now, even moreso than the AI boom we've already been seeing.</p>
]]></description><pubDate>Tue, 13 Oct 2026 17:55:23 +0000</pubDate><link>https://news.ycombinator.com/item?id=50075851</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50075851</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50075851</guid></item><item><title><![CDATA[New comment by jrowen in "The gap in shared understanding of LLM capability is widening"]]></title><description><![CDATA[
<p>Chess, ok, Go, ok, doing new math, ok, breaking out of sandboxes and hacking public-facing infrastructure, ok...</p>
]]></description><pubDate>Mon, 12 Oct 2026 22:29:24 +0000</pubDate><link>https://news.ycombinator.com/item?id=50063965</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50063965</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50063965</guid></item><item><title><![CDATA[New comment by jrowen in "The gap in shared understanding of LLM capability is widening"]]></title><description><![CDATA[
<p>I hear you, but also, "a broken clock is right twice a day." And really, there are people still alive who have more or less witnessed the entire rise of the machines.</p>
]]></description><pubDate>Mon, 12 Oct 2026 20:05:07 +0000</pubDate><link>https://news.ycombinator.com/item?id=50062208</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50062208</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50062208</guid></item><item><title><![CDATA[New comment by jrowen in "The gap in shared understanding of LLM capability is widening"]]></title><description><![CDATA[
<p>The public has yet to produce a result of comparable impact to HuggingFace, to my knowledge. It's not really about the model, it's more about orchestration infrastructure. Seems like we've hit the point where you don't necessarily need a smarter bot, you just need an arbitrary number of them working together.</p>
]]></description><pubDate>Mon, 12 Oct 2026 19:25:54 +0000</pubDate><link>https://news.ycombinator.com/item?id=50061613</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50061613</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50061613</guid></item><item><title><![CDATA[New comment by jrowen in "The gap in shared understanding of LLM capability is widening"]]></title><description><![CDATA[
<p>I feel like you're taking it somewhat personally as a statement on ability or intelligence levels. It's really just about the scale difference and the access to that infrastructure. That is what enables that class to look at and think about problems differently.<p>Having 10,000 (or more) agents working for months on a problem is categorically different from the type of usage most people are familiar with. The complexity explodes to a point that requires the "archaeology" he mentions for people to even try to understand what's going on.<p>This is the key insight. Those capabilities are currently limited to frontier labs and literally cost them millions of dollars to achieve. But as we well know, computing costs and algorithms are optimized rapidly and soon those capabilities will be more widespread. We are at an inflection point where we can design systems that are able to go and do things that we don't fully understand, and they will handily outpace our forensic bandwidth.</p>
]]></description><pubDate>Mon, 12 Oct 2026 18:19:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=50060530</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=50060530</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50060530</guid></item><item><title><![CDATA[New comment by jrowen in "Nobel Prize in Physics 2026: Francis Halzen"]]></title><description><![CDATA[
<p>This image* from Wikipedia surprised me. The topside building is...you could say...the tip of the iceberg. The detectors span a huge area going over 2km deep. The predecessor AMANDA array was also down there.<p>*<a href="https://en.wikipedia.org/wiki/IceCube_Neutrino_Observatory#/media/File:The_IceCube_Neutrino_Observatory.jpg" rel="nofollow">https://en.wikipedia.org/wiki/IceCube_Neutrino_Observatory#/...</a></p>
]]></description><pubDate>Tue, 06 Oct 2026 13:21:27 +0000</pubDate><link>https://news.ycombinator.com/item?id=49978049</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=49978049</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49978049</guid></item><item><title><![CDATA[New comment by jrowen in "I quit OpenAI because its culture is broken"]]></title><description><![CDATA[
<p>Thank you as well for the thoughtful reply. I definitely think the regulations should happen, the forces of those institutions can have impact. But I think we all need to start thinking about a near future where individual humans can direct superhuman capabilities in ways that nobody can understand or predict. I think it is categorically different from anything in the past.<p>I watched a 4 hour podcast from the excellent "From First Principles" guys* that affected my thinking on this. For the first time I feel like we actually are on that precipice.<p>It differs from the nuclear bomb in that it will be harder to regulate and it will be incredibly difficult to keep out of reach of bad actors. It's just code and data. Somebody is gonna take that code and make the next version of it. Lots of people, in fact. Compute resources improve and proliferate orders of magnitude faster than uranium enrichment facilities.<p>But I think those technologies are also linked in that the only surefire scenario I can envision where AI kills us all before we can pull the plug is launching nukes. So in that more technical sense let's just start by making sure they can't do that. The killer virus epidemic is another one to watch, and they touch on Anthropic's biolab in the pod. That one seems less instantaneously existential, but also more distributed.<p>It's basically going to be about...how do we secure everything in the presence of a swarm of actors with poorly-understood capabilities? We kinda have to disable and disconnect and just remove things that can be used against us from the equation (a la BSG).<p>* <a href="https://www.youtube.com/watch?v=NGfGw1tGxUY&t=3s" rel="nofollow">https://www.youtube.com/watch?v=NGfGw1tGxUY&t=3s</a></p>
]]></description><pubDate>Tue, 06 Oct 2026 06:48:42 +0000</pubDate><link>https://news.ycombinator.com/item?id=49975079</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=49975079</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49975079</guid></item><item><title><![CDATA[New comment by jrowen in "I quit OpenAI because its culture is broken"]]></title><description><![CDATA[
<p>I think the closest analogue here is the nuclear bomb. I do think there was a certain point where it became "inevitable." I don't think society has ever prevented a technology that was known to be within reach from being developed. In this case you don't even need the most powerful state-level actors. Open source capabilities are only a short timespan behind frontier labs. At some point basically every individual will have access from the comfort of their own home.<p>I don't think "just make it illegal" is going to save us, that doesn't make me feel safe anyway. They may try that first because it's easy - create a regulatory body, sign some legislation, problem solved! [george-bush-mission-accomplished.jpg] But at this point I feel like some kind of Battlestar Galactica scenario is most likely - hopefully not quite as existential - but it will take a collective reaction to a traumatic event (a la Hiroshima/Nagasaki). Technical rather than (or in addition to) legal measures will be taken, like network partitioning and hardening. This is everyone's problem whether we like it or not.<p>(I'm not saying this "fatalism" should be used as an excuse by anyone working for any of these companies, it should give them pause that any bloodshed would still be squarely on their hands, but as an observer, people are gonna keep pushing until shit hits the fan. [jeff-goldblum-jurassic-park.gif] It's also not really about whether it's "appealing" or not, it's just trying to predict and anticipate different likelihoods...)</p>
]]></description><pubDate>Sun, 04 Oct 2026 07:43:00 +0000</pubDate><link>https://news.ycombinator.com/item?id=49951590</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=49951590</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49951590</guid></item><item><title><![CDATA[New comment by jrowen in "Owed a billion dollars in Nvidia stock"]]></title><description><![CDATA[
<p>Thanks for sharing your story in straightforward detail. Do you believe, in an ethical sense (independent of the legal sense), that you are owed roughly a billion dollars?<p>It sounds like you were rather negligent as well. You didn't care to have any inkling of memory of the vesting schedule in 1996, or just to double check and "wrap up" the financial details of that agreement after the work was done?<p>It does seem somewhat suspect to elide mention of what became of the shares that you did own, and that you only re-noticed Nvidia in 2024. Every 14 year old PC nerd/gamer knew that name in 2001. It is quite a feat of negligence to wait that long to dig this up.<p>You seem like a decent person, and I do believe that you are justly owed something, but I must admit that I find this to be a depressing tale of rich people spinning wheels for naught. A modest inflation-adjusted multiple of the original value of the options seems reasonable.<p>Before anyone accuses me of shilling or white-knighting for a  major corporation, I don't have any broader sympathy for them and I would generally take the side of David over Goliath, which I think some commenters are making this out to be, but it seems more like Mini-Goliath and Mega-Goliath are bikeshedding and David has no stake in the matter.</p>
]]></description><pubDate>Mon, 28 Sep 2026 05:30:21 +0000</pubDate><link>https://news.ycombinator.com/item?id=49874008</link><dc:creator>jrowen</dc:creator><comments>https://news.ycombinator.com/item?id=49874008</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49874008</guid></item></channel></rss>