Tenoke
Re:The Mathocalypse
on Thursday October 08, 2026 @08:46AM (#50005182)
If you can analyze it with AI it implies AI can understand it (as it can analyze it for itself as well) and thus can build on it.
Re:Mistral Large 4
on Tuesday October 06, 2026 @03:28PM (#49982894)
Serious people haven't been very dimissive of Chinese models since at least DeepSeek-R1 in January 2025. Sadly, we in Europe are much behind.
Pleasant read, which feels as if it's from an outsider to the event. Alas, I just don't think there's that much to report.
Re:Mistral raises €3B
on Tuesday September 08, 2026 @06:00AM (#49608122)
It's possible to be a waste of European money that could be better used elsewhere, though. I think the same about LeCun's company sucking up the little funding here.
Re:Mistral raises €3B
on Tuesday September 08, 2026 @05:59AM (#49608106)
> Europe absolutely needs a home-grown AI lab, especially with Pax Americana looking increasingly shaky.
The only problem (at least in the LLM space) is that you can do more in Europe by just getting the best Chinese Open weights model (do a finetune if you really want) and do more for cheaper than using Mistral.
Re:Any Human Ever – One life, drawn at random from all who have ever l...
on Thursday September 03, 2026 @02:03PM (#49554079)
Yes, this is exactly what I expected (showing the anthropic principle in action), so I am disappointed they are not sampling correctly.
Re:Samsung's Processing-in-Memory (PIM)
on Saturday August 29, 2026 @07:52AM (#49489113)
>there ought to be a tipping point beyond which local inference is good enough
There's no such ought really. Even at current levels you'd need like a 100x gain from here to approach current top proprietary models (probably a lot more for say Mythos or Mythos 2), and it's not like they are stoppng to improve. This is before we even account that you'd just be running 1 agent then, and not a swarm like you'd be able to in the cloud or that you can do only so much compression before you are losing out
Re:Samsung's Processing-in-Memory (PIM)
on Saturday August 29, 2026 @07:04AM (#49488880)
There's been a ton of optimizations already, it hasn't remotely reduced demand even temporarily. More efficiency just makes the compute have even higher ROI per $ and watt spent.
Re:Nvidia agrees to acquire Hugging Face for $13B
on Thursday August 27, 2026 @08:32AM (#49463755)
Too base cynicism. I'd be willing to bet you my $200 to your $100 that doesn't happen.
Re:Don't Paste the AI, please
on Thursday August 20, 2026 @08:23AM (#49373661)
That's a good formalization of it. I will think you are a bit of a fool if you dont use AI but you guarantee you'll be a fool if you only use AI with no value added by yourself.
Re:Claude Opus 5
on Friday July 24, 2026 @02:05PM (#49039467)
Fable has more parameters. In practice it's not yet clear which one would be better for different usecases yet but they are more different than one being strictly better.
Re:Flux 3 X Mimic: The Next Generation of Video-Action Models
on Friday July 24, 2026 @08:53AM (#49034856)
Mistral is much worse in its respective field than Flux in their own so I hope not.
Flux 2 Dev Klein has practically been the best you could use on most commercial hardware so I really hope Flux 3 has a comparable updated open-weights model to it. if not it'd be a great loss to most hobbyists.
Re:Startup founders urge Trump not to shut off Chinese open weight AI
on Thursday July 23, 2026 @11:57AM (#49023728)
Y Combinator the company doesnt particularly have to share the opinions of hackernews the public site.
Re:OpenAI and Anthropic unite against open-weight AI risks to their bo...
on Thursday July 23, 2026 @11:46AM (#49023490)
Because sadly, as much as I wish it wasn't the case, offense is easier, more impactful than defense.
Re:OpenAI and Anthropic unite against open-weight AI risks to their bo...
on Thursday July 23, 2026 @10:02AM (#49021779)
I am very pro open source models - I use them every single day.. But we obviously don't want everyone to have capabilities like and beyond what caused the huggingface incident in every domain, so it's not like it all comes from bottom line cynicism.
Re:OpenAI and Hugging Face partner to address security incident
on Wednesday July 22, 2026 @04:33AM (#49003525)
There's ways to make sure env vars get only injected at runtime and arent easily accessible otherwise or to even make them inaccessible to the user your agent is running on, and for you to manually run the code with the right permissions when the keys actually need to be used. Almost nobody bothers doing it though.
Re:OpenAI and Hugging Face partner to address security incident
on Tuesday July 21, 2026 @05:14PM (#48998426)
That's kind of insane. Natural that it's happened, sure, but insane. I know people don't like thinking of it like that, but things analogous to this can easily happen in various domains with today/tomorrow's models given access and a different task.
Re:Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
on Tuesday July 21, 2026 @12:15PM (#48994334)
It's also very possible that they know their big model underperforms chatgpt 5.6 and fable by too much, so they are focusing on what they can get wins in like speed instead.
Re:Fable 5 vs. GPT-5.6 Sol on an NP-Hard Problem: Does /goal help?
on Sunday July 19, 2026 @07:26AM (#48967081)
I do that but it ends up putting so much extra crap there that it has the same drawbacks.
Re:Fable 5 vs. GPT-5.6 Sol on an NP-Hard Problem: Does /goal help?
on Saturday July 18, 2026 @09:10AM (#48957842)
Claude seems to forget what you tell it in very long work sessions (things that take weeks to develop), no matter how many times you tell it which part is extra important. I dont use goal (I guess I should), but presumably it makes it actually remember the most important instruction. I believe this here is about shorter sessions where the issue doesn't crop up as much.
>The human brain manages to self-organize with only a fraction of the information that LLMs get trained on.
So? The question isnt can we get to ASI as efficiently as a brain, the question is can we get there, which we likely can. The inefficiencies can also be fixed after that.
>No matter how many trillions of dollars get thrown at the problem, they still don't learn like humans do.
Again, so? Humans are efficient but also bad at many things that transformers are already better at because of it. You are looking at the wrong thing if you think it needs to be like humans.
LLMs dont just use text for a while now. It's also not fully supervises for a while.
You can watch the whole Lex Friedman interview, it's on youtube. It's not out of context at all. He goes on about how LLMs will never be able to do things that they do trivially. And he has just doubled down for years.
Ive read and watched more of his interviews and lectures it seems, it feels like you just have a rosier idea of his views than the views he repeatedly presents.
https://youtube.com/shorts/zQTt8TkcyfU?is=09r7XDqz2w6-Pygu
You probably wont like the edit but I dont have the timestamp of the original on hand, you can find it.
>He's merely said they don't think
He said years ago even 'GPT 5000' couldnt do things that they ended up doing fine a month later, let alone by 5000. His later predictions are just moving that goal post including towards them not being able to do more general, harder problems of which Arc AGI is a counter-example.
His main anti-LLM predictions have been consistently either wrong or misleading.
There's many ways to skin a cat so you can probably do something with a JEPA approach as well, but I doubt he actually catches up to having agents on the level of where Anthropic/OpenAI will be at any point.
Is any of those comparisons about Pro vs non-Pro (Pro is only available in $100+ plans)? I am curious about that but I think Sol, Terra, Luna are different sizes of it without the Pro part, and I want to know how much worse do I have it on the $20 plan compared to if I upgrade.
Re:Mistral's Robostral Navigate: a state of the art robotics navigatio...
on Wednesday July 08, 2026 @12:35PM (#48834089)
8B sounds tiny. Of course, that's enough to easily run on device which is nice, but surely the actual SOTA must be some much bigger model?