<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: foobar10000</title><link>https://news.ycombinator.com/user?id=foobar10000</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sun, 18 Oct 2026 06:29:22 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=foobar10000" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by foobar10000 in "DeepSeek-v4.1-Flash-1017"]]></title><description><![CDATA[
<p>Fixing healthcare or economic policies is typically an act of congress type of thing - not even an amendment. Large popular support - and it can be fixed.  Fixing freedom of speech or the ability to vote at all - once it is gone - usually takes a price payed in blood. Sometimes rivers of it.</p>
]]></description><pubDate>Sat, 17 Oct 2026 12:42:53 +0000</pubDate><link>https://news.ycombinator.com/item?id=50130611</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=50130611</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50130611</guid></item><item><title><![CDATA[New comment by foobar10000 in "Religious scholars met with Anthropic"]]></title><description><![CDATA[
<p>I hate to use Claudish here, but "postnatal" and "dead" are quite load-bearing here :) Clinically dead? Coma? Born human baby, but with anencephaly - expected lifespan is days, and there's literally no brain - but, well, are they a person? Ask 1000 people - and I'm betting we'll get a nice bimodal distribution.<p>I take your point that a human walking around a city will - out of that 1000 responses - hopefully get 990+ of "yes, a person" - but that will start to degrade quickly once you hit boundaries.<p>And the less said about dehumanizaion - untermensh and that entire line of thinking - the better.</p>
]]></description><pubDate>Sun, 04 Oct 2026 12:30:09 +0000</pubDate><link>https://news.ycombinator.com/item?id=49953354</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=49953354</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49953354</guid></item><item><title><![CDATA[New comment by foobar10000 in "Religious scholars met with Anthropic"]]></title><description><![CDATA[
<p>While I was not participating actively in the discussion - I just want to thank both participants for embodying the spirit of HN and academic discourse - especially in the face of a difficult debate that stirs strong emotions.<p>@svnt, @hnlmorg - this conversation - and the links it produced - are a fascinating read, and honestly gave me hope for discourse on the open internet.</p>
]]></description><pubDate>Sun, 04 Oct 2026 12:20:22 +0000</pubDate><link>https://news.ycombinator.com/item?id=49953280</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=49953280</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49953280</guid></item><item><title><![CDATA[New comment by foobar10000 in "The last time my family was replaced by technology"]]></title><description><![CDATA[
<p>Unfortunately not satire - modern models can be trained to be better than humans in recognizing emotions straight off camera.</p>
]]></description><pubDate>Wed, 30 Sep 2026 19:16:33 +0000</pubDate><link>https://news.ycombinator.com/item?id=49913087</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=49913087</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49913087</guid></item><item><title><![CDATA[New comment by foobar10000 in "Predictive intelligence to anticipate anything."]]></title><description><![CDATA[
<p>Sigh... I'm willing to bet (and this is not a hard thing to bet on) that even bb(50) is independent of ZFC and similar, and Omega(1KB) is > 748 , which is at this point known to be independent of ZFC.... Please do not ask the LLM to break the universe :)</p>
]]></description><pubDate>Sun, 13 Sep 2026 16:30:38 +0000</pubDate><link>https://news.ycombinator.com/item?id=49685755</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=49685755</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49685755</guid></item><item><title><![CDATA[New comment by foobar10000 in "GPT 5.6 Cyber"]]></title><description><![CDATA[
<p>Citadel already is. They are happy to do it - bedrock is the host of choice. They are less happy about cost - but that is a question of value :)</p>
]]></description><pubDate>Tue, 11 Aug 2026 12:35:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=49257296</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=49257296</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49257296</guid></item><item><title><![CDATA[New comment by foobar10000 in "Ten advances in mathematics and theoretical computer science"]]></title><description><![CDATA[
<p>One - and I do not mean to be snarky - you can literally ask Gpt 5.6 Sol this - and if you want to see cool stuff - Fable running in their app (not website) has a view thinking button that is actually a good way to explore the adjacent fields, etc.<p>The non-sofic group one is definitely a big deal - would have been a Fields medal if discovered by a human.</p>
]]></description><pubDate>Sat, 01 Aug 2026 12:42:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=49133960</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=49133960</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49133960</guid></item><item><title><![CDATA[New comment by foobar10000 in "Open-weight AI is having its Kubernetes moment"]]></title><description><![CDATA[
<p>Glm 5.2 nvfp4 on 4 b300 with dpattn 4 and ram will get you about 20 users live at 400k context - and 60 easily if you give that server 2tb of ram and 4 nvme 8 tb drives. There are some sglang patches needed - but we will be releasing them soon.</p>
]]></description><pubDate>Sat, 25 Jul 2026 21:22:51 +0000</pubDate><link>https://news.ycombinator.com/item?id=49051729</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=49051729</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49051729</guid></item><item><title><![CDATA[New comment by foobar10000 in "OpenAI’s accidental attack against Hugging Face is science fiction that happened"]]></title><description><![CDATA[
<p>Or more colloquially : paperclip maximization . From OpenAI - you know, the guys who _really_ know this... Sigh... Did they finish the prompt with "And do whatever you can to get this done!" ? Cause that's the only thing that would make this even dumber...</p>
]]></description><pubDate>Thu, 23 Jul 2026 03:10:23 +0000</pubDate><link>https://news.ycombinator.com/item?id=49016414</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=49016414</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49016414</guid></item><item><title><![CDATA[New comment by foobar10000 in "OpenAI’s accidental attack against Hugging Face is science fiction that happened"]]></title><description><![CDATA[
<p>This is an _amazing_ typo :) Thank you, thank you :)</p>
]]></description><pubDate>Thu, 23 Jul 2026 03:07:25 +0000</pubDate><link>https://news.ycombinator.com/item?id=49016386</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=49016386</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49016386</guid></item><item><title><![CDATA[New comment by foobar10000 in "The Kimi K3 Moment"]]></title><description><![CDATA[
<p>3T at nxfp4 (which is most of it) is only 1.5TB of vram - so 8x288GB B300 or MI355 will do it if you are careful with context - maybe dp-attn? Certainly not TP. 2 of those together can easily serve it. The new AMD MI400 are at 400GB+ each, so 8x of them will nicely fit with KV to spare.</p>
]]></description><pubDate>Sun, 19 Jul 2026 02:02:42 +0000</pubDate><link>https://news.ycombinator.com/item?id=48964362</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=48964362</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48964362</guid></item><item><title><![CDATA[New comment by foobar10000 in "The Kimi K3 Moment"]]></title><description><![CDATA[
<p>Don't forget that you are not really seeing the thinking tokens used - so non-trivial to count them.</p>
]]></description><pubDate>Sun, 19 Jul 2026 01:56:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=48964329</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=48964329</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48964329</guid></item><item><title><![CDATA[New comment by foobar10000 in "Kimi K3: Open Frontier Intelligence"]]></title><description><![CDATA[
<p>Yeah, if you have a fixed llm topology, you can just effectively burns 2 top layers of the chip as Rom (model weights) - which has a per area density even better than dram - so it’s just attention and kv streaming that is hbm to sram transfer.<p>Most big model weights will not fit a single reticle sized chip - so you’d have prob 30 different chips to split the model .<p>And you’d need super fast chip to chip comms for the all-reduce and similar.<p>So scaling to 1T models is hard - and a long lead time - but can be very power efficient.</p>
]]></description><pubDate>Thu, 16 Jul 2026 21:32:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=48940544</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=48940544</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48940544</guid></item><item><title><![CDATA[New comment by foobar10000 in "Performance per dollar is getting faster and cheaper"]]></title><description><![CDATA[
<p>Well, for a lot of agentic stuff nowadays, having 250k-500K context is where things live - and the benchmarks don't really show that unfortunately - but they could :)</p>
]]></description><pubDate>Sat, 04 Jul 2026 20:58:20 +0000</pubDate><link>https://news.ycombinator.com/item?id=48789031</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=48789031</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48789031</guid></item><item><title><![CDATA[New comment by foobar10000 in "The Coming Loop"]]></title><description><![CDATA[
<p>Agreed - there was always a set of things I wanted to do that I knew the magic core for, but wanted a team of implementers for the curft, the 100k of actual testing harnesses, hyperparameter exploration, etc.. . I now have that team of implementers. All the problems seem research-y though - optimal binary transport systems that are zero-copy and compatible with languages, fast physical simulation optimizers, etc etc... So, things that all had a _LOT_ of busywork around the magic core.</p>
]]></description><pubDate>Tue, 23 Jun 2026 13:15:08 +0000</pubDate><link>https://news.ycombinator.com/item?id=48644513</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=48644513</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48644513</guid></item><item><title><![CDATA[New comment by foobar10000 in "Can Europe train a frontier AI model on the compute it owns?"]]></title><description><![CDATA[
<p>We are there already pretty much - if I understand your point (“How the models are wielded”) refers to the harness - which is part of model training already. Fable was trained to use Claude code harnesses effectively to keep plugging at a problem with a lot of working memory and world knowledge and reasoning capability - and to keep hitting that search space intelligently. And it is not just cybersecurity. I’ll give several examples from my own recent experience :<p>1. Cyber - already discussed - has an issue that the bigger models can actually do a full end-to-end exploration of an exploit - go from theory to an actual deployable payload.<p>2. CAD/CAM/Mechanics - CalculiX (ccx) - an open-source FEA and similar mechanical solver - think Siemens or ANSYS, but open-source. A team I was helping was trying to do a design mount of a physical object that would need to reduce vibrations in a frequency band - think microphone mount basically. Usual loop would be design, analyze with Siemens, go to beginning. AI loop is have AI design, then analyze using ANSYS, then analyze result, change design, iterate. That loop did not produce anything useful for elastic materials because ANSYS would take 12 hrs to do acoustic analysis using a GPU. 1 week of autonomous work by a frontier model resulted in a modification and custom solver added to ccx that could simulate the acoustics (vibrations) _in that particular problem_ in about 20 seconds - mainly because it could try new mathematical ideas, then compare them against ANSYS reference for quality of solution, and iterate. And 1 week _after that_ the frontier model - iterating on one design per minute - came up with multiple 3-d printable ground-breaking mounts - including sending one off to xeometry for printing and getting it shipped back. Existing designs had a 20 db drop in the frequency ranges needed - this one had 60. For reference 40 DB is basically infinity :)  While this was for microphones - you can imagine that vibration reduction is a big thing in engine, suspension, and weapon mounting, and well, in general things that move. 3 person team btw - unthinkable even 1 year ago.<p>3. Pharma. Different company - but given a known Density Function Theory or Kappa Cluster molecule simulator, one can run nice agentic loops over frontier models to do chemical or pharmaceutical research - there’s a reason Anthropic is launching Claude Chemistry. Note that then limiting factor is the multi-week runtime of Kappa Cluster and similarly molecular dynamics simulators. If one _could_ speed that up for a particular problem space or molecule type, one could very very quickly have a high-end reasoning model iterate to a good molecular design - and frontier models are getting very good at precisely automating the ML research needed to do that autonomously - after all, there’s a reference there. 5 ppl - 2 years ago would be a research institute.<p>4. Physical AI - robotics - same principle.<p>5. This is basically the bet Bezos is doing with his new company.<p>Please do not underestimate the effect these models will have on our ability to improve our ability to effect the world - this is just starting to hit now. I think we can all extrapolate the GDP and defense impact of this - or at least that there will be a very significant one.</p>
]]></description><pubDate>Tue, 16 Jun 2026 18:22:39 +0000</pubDate><link>https://news.ycombinator.com/item?id=48559691</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=48559691</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48559691</guid></item><item><title><![CDATA[New comment by foobar10000 in "Why Japanese companies do so many different things"]]></title><description><![CDATA[
<p>Well - there is a giant push to allow non-qualified investors to invest their 401k (and roth and whatever) into the private equities market - pre-IPO companies and such.<p>I can't shake the feeling of a grand fleecing incoming - and honestly, most big financial companies I know are against it because the blowback of inevitably bankrupting the firefighters&nurses pension fund will be congressional hearings and piercings of corporate veils.<p>Seems like the feds are pushing for it - for reasons I cannot fathom.</p>
]]></description><pubDate>Sat, 23 May 2026 14:50:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=48248207</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=48248207</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48248207</guid></item><item><title><![CDATA[New comment by foobar10000 in "Steve Wozniak cheered after telling students they have AI – actual intelligence"]]></title><description><![CDATA[
<p>A lot - and over the coming 2 years, even more. Utilization rates are under 50% across the board, and special and cheaper chips are coming out all the time for inference. And a truckload of research - TurboQuant, HC (deepseek), etc, etc..</p>
]]></description><pubDate>Fri, 22 May 2026 13:12:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=48235415</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=48235415</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48235415</guid></item><item><title><![CDATA[New comment by foobar10000 in "Steve Wozniak cheered after telling students they have AI – actual intelligence"]]></title><description><![CDATA[
<p>Imagine an agent shadowing all your terminals, providing ideas and asking to run commands that will let it verify the hypotheses it comes up with, while at the same time doing research on vendor docs, etc...<p>Quite safe, and already a force multiplier - this would be a harness. Maybe have it be able to write to a shadow system with similar (ideally same) hardware to verify it's hypothesis on how the system works, etc...</p>
]]></description><pubDate>Fri, 22 May 2026 13:10:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=48235400</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=48235400</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48235400</guid></item><item><title><![CDATA[New comment by foobar10000 in "Orthrus-Qwen3: up to 7.8×tokens/forward on Qwen3, identical output distribution"]]></title><description><![CDATA[
<p>Minor nit re[2]: for agentic workloads that are actually worth money - i.e., claude code and similar, things are either prefill-bound - which this does not help - or more importantly tps/user bound (at 150k+ context windows) - you want your big magic model to emit 200 tps/user. This is why Nvidia bought Groq (now LPU) and what Cerebras is trying to do, etc, etc.  So for the stuff that makes money in the field - GPUs are not really compute bound once context lengths are large - but still memory transfer bound (may be KV-cache transfer, may be HBM->SRAM-on-chip, etc..)</p>
]]></description><pubDate>Sat, 16 May 2026 12:33:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=48159650</link><dc:creator>foobar10000</dc:creator><comments>https://news.ycombinator.com/item?id=48159650</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48159650</guid></item></channel></rss>