It’s not organized like a human brain, it shouldn’t be surprising that unusual results occur. They are approximating human intelligence from a different angle. It’s interesting to see the improvements in areas like this that require introspection that isn’t fully wired up yet.
[edit] I should add that a human making a New Yorker cartoon is extremely iterative and introspective. Current generative AI is meant to push it out, and you can do the iteration and introspection yourself."}},{"id":"https://news.ycombinator.com/item?id=49969183","external_url":"https://reflection.ai/blog/introducing-beam","title":"Beam: Reflection's 501B open-weight model","date_published":"2026-10-05T19:16:35Z","top_comment":{"id":"49969374","url":"https://news.ycombinator.com/item?id=49969374","author":"Ariarule","date_published":"2026-10-05T19:30:19.000Z","text_html":"Always glad to see more open-weight models, but this caption on the 2nd demo image had me do a double-take: "Land or Water Generalization Experiment: We recreated the viral X puzzle by asking Beam to create a fixed 180×90 grid for longitudes -179° to 179° and latitudes -89° to 89°, with 16,200 points. This puzzle is a few days old, so could not appear in the training data, thus testing the model’s generalization. Beam gets 95.5% coverage right, putting us between Opus 5 (92.5%) and Fable 5 (97.8%), which shows how well it generalizes to novel new tasks."
Oof, no, this "puzzle is a few days old" is incorrect even if it's a social media trend just recently. Asking a model to generate a world map in this way is _at least_ from August 2025 as it appeared on LessWrong at that time: https://www.lesswrong.com/posts/xwdRzJxyqFqgXTWbH/how-does-a..."}},{"id":"https://news.ycombinator.com/item?id=49977979","external_url":"https://docs.mistral.ai/models/mistral-large-4-0","title":"Mistral Large 4","date_published":"2026-10-06T13:15:49Z","top_comment":{"id":"49978211","url":"https://news.ycombinator.com/item?id=49978211","author":"eigenspace","date_published":"2026-10-06T13:33:08.000Z","text_html":"Its quite interesting to see that at least the early days of AI so far have not been a winner-take-all runaway acceleration game where catchup is impossible.
I certainly wouldnt have predicted that 10 years ago.
Very glad to see Mistral still in the game even after some big stumbles with Large 3. I deeply hope that this model is 'good enough' that it becomes the European go-to, giving them the resources to keep the pace up.
I'm excited to try this out today."}},{"id":"https://news.ycombinator.com/item?id=49970667","external_url":"https://www.vals.ai/blogs/room-temperature-magnetic-semiconductors","title":"Opus 5.5 agents discover two room-temperature magnetic semiconductor candidates","date_published":"2026-10-05T21:00:21Z","top_comment":{"id":"49971175","url":"https://news.ycombinator.com/item?id=49971175","author":"tedsanders","date_published":"2026-10-05T21:37:21.000Z","text_html":"> We’re all used to two types of magnet. The common one, the fridge magnet, is ferromagnetic — its atomic magnets all point the same way (up or down), adding their magnetic effects. The less well known one, the antiferromagnet (AF), has neighbouring atomic magnets that point opposite ways and exactly cancel out magnetically.
This is a very bizarre introduction. People encounter diamagnets (e.g., copper) and paramagnets (e.g., aluminum) way more than they encounter antiferromagnets. I don't know why you'd ever cast magnetism as a false binary between ferromagnets and antiferromagnets, without acknowledging any other types of magnetic order.
(I did a PhD in magnetic materials)
Edit: I'll add that whether an antiferromagnet is useful, say, for exchange biasing a ferromagnetic thin film, depends on many factors. Just looking at antiferromagnetism alone you've got collinear vs non-collinear, G-type vs A-type vs C-type, commensurate vs incommensurate, and isotropic vs anisotropic; and all of that interacts with the interface structure, yada yada yada. It would be helpful if the authors elaborated on the expected properties of these materials. I personally don't know what people want room-temperature magnetic semiconductors for, but I'd be curious to learn what set of properties they think would be useful."}},{"id":"https://news.ycombinator.com/item?id=49968105","external_url":"https://diff.wikimedia.org/2026/10/05/openai-rogue-agent-activities-found-on-wikimedia-projects/","title":"OpenAI \"rogue\" agent activities found on Wikimedia projects","date_published":"2026-10-05T17:53:35Z","top_comment":{"id":"49968766","url":"https://news.ycombinator.com/item?id=49968766","author":"umvi","date_published":"2026-10-05T18:42:49.000Z","text_html":"Start increasingly punishing OpenAI. We are acting like "oh well, AI is just too powerful to be contained" but I think its more like "OpenAI is run by cowboys who are good at making LLMs but bad at everything else""}},{"id":"https://news.ycombinator.com/item?id=49971921","external_url":"https://www.debugbear.com/blog/example-dot-com-redesign-history","title":"Example.com just launched the biggest redesign in decades","date_published":"2026-10-05T22:55:11Z","top_comment":{"id":"49977965","url":"https://news.ycombinator.com/item?id=49977965","author":"VVilhelmsen","date_published":"2026-10-06T13:14:41.000Z","text_html":"This has rendered my usecase for example.org worthless.\nI used this website several times per week to clean my glasses as it provided a nearly completely white website - optimal for allowing me to spot smudges on my glasses. It is now black by default for me, or grey.
I am devastated."}},{"id":"https://news.ycombinator.com/item?id=49976265","external_url":"https://www.nobelprize.org/prizes/physics/2026/","title":"Nobel Prize in Physics goes to Francis Halzen","date_published":"2026-10-06T09:48:46Z","top_comment":{"id":"49976380","url":"https://news.ycombinator.com/item?id=49976380","author":"_Microft","date_published":"2026-10-06T10:04:04.000Z","text_html":"He receives the prize for conceiving the IceCube neutrino detector, a cubic-kilometer-sized detecter in the Antarctics.
https://en.wikipedia.org/wiki/IceCube_Neutrino_Observatory
Mechanism is via conversion of neutrinos into charged particles which are then detected via Cherenkov radiation which is produced when a charged particle moves with speeds larger then the speed of light in the medium. (That is only possible because it is less than the speed of light in vacuum which cannot be exceeded.)
This was also discussed recently if you are interested:\nhttps://news.ycombinator.com/item?id=49655286
https://en.wikipedia.org/wiki/Cherenkov_radiation"}},{"id":"https://news.ycombinator.com/item?id=49977072","external_url":"https://www.helgilibrary.com/companies/jetbrains","title":"JetBrains reported a net financial loss first time in its tracked history","date_published":"2026-10-06T11:45:55Z","top_comment":{"id":"49977482","url":"https://news.ycombinator.com/item?id=49977482","author":"bdavbdav","date_published":"2026-10-06T12:35:47.000Z","text_html":"All the death knell comments - Is no one looking at the revenue line? Revenue still trending the same. Costs presumably haven't skyrocketed. They've invested in something big. Thats probably a good thing, and often needed to evolve."}},{"id":"https://news.ycombinator.com/item?id=49973598","external_url":"https://www.vivienhenz.com/common-lisp","title":"Why Common Lisp is now the best programming language","date_published":"2026-10-06T02:51:51Z","top_comment":{"id":"49974799","url":"https://news.ycombinator.com/item?id=49974799","author":"kelnos","date_published":"2026-10-06T06:05:43.000Z","text_html":"I feel like everyone has some sort of justification for why their pet language is now the best because LLMs can work in it better for a bunch of reasons.
Javascript/Python is the best because there's so much code out there that the LLMs can train on, and LLMs can write lots of tests to make sure everything is correct. There's nothing to compile, so the LLM can iterate quickly.
Rust is the best because the LLM gets great feedback from the compiler because of its strong type system, and it can deal with the borrow checker for you.
Go is the best because it's a simpler language with a decent type system, and the LLM can reason about that well, and will never forget to check an `err` return. The compiler is fast, so the LLM can iterate quickly.
I could write similar praise for C, C++, Java...
At this point I don't think any language is the best "because LLMs". I think there are quite a few languages that LLMs are probably not good at, but you have lots of choices if you want something they are good at."}},{"id":"https://news.ycombinator.com/item?id=49971230","external_url":"https://flattensf.com/","title":"Find the flattest route between any two points in SF","date_published":"2026-10-05T21:40:50Z","top_comment":{"id":"49972074","url":"https://news.ycombinator.com/item?id=49972074","author":"andalinmicphew","date_published":"2026-10-05T23:15:52.000Z","text_html":"Checkout https://bikehopper.org for solid elevation, bike infrastructure and transit-aware routing around the Bay Area. Some friends and I built this about 5 years ago and continue to maintain it. We use 1m DTM elevation data for SF and 50m for rural areas. DTM is a must for elevation based routing in SF as there are so many sizable buildings, large trees the other models fail hard."}}]}