Mf look like a vilian from classic Who
Meta’s star AI scientist Yann LeCun plans to leave for own startup
Submitted 1 day ago by avidamoeba@lemmy.ca to technology@lemmy.world
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tio_bira@lemmy.world 1 day ago
technocrit@lemmy.dbzer0.com 10 hours ago
Grifters gonna grift each other.
tal@lemmy.today 1 day ago
Meta’s chief AI scientist and Turing Award winner Yann LeCun plans to leave the company to launch his own startup focused on a different type of AI called “world models,” the Financial Times reported.
World models are hypothetical AI systems that some AI engineers expect to develop an internal “understanding” of the physical world by learning from video and spatial data rather than text alone.
Sounds reasonable.
That being said, I am willing to believe that an LLM could be part of an AGI. It might well be an efficient way to incorporate a lot of knowledge about the world. Wikipedia helps provide me with a lot of knowledge, for example, though I donlt have a direct brain link to it. It’s just that I don’t expect the thing to be an LLM.
tomiant@piefed.social 1 day ago
Look, AGI would require basically a human brain. LLMs are a very specific subset mimicking a (important) part of the brain- our language module. There’s more, but I got interrupted by a drunk guy who needs my attention, I’ll be back.
just_another_person@lemmy.world 1 day ago
LLMs are just fast sorting and probability, they have no way to ever develop novel ideas or comprehension.
The system he’s talking about is more about using NNL, which builds new relationships to things that persist. It’s deferential relationship learning and data path building. Doesn’t exist yet, so if he has some ideas, it may be interesting. Also more likely to be the thing that kills all human.
nymnympseudonym@piefed.social 1 day ago
LLMs are just fast sorting and probability, they have no way to ever develop novel ideas or comprehension
And how do you think animal brains develop comprehension…?
communist@lemmy.frozeninferno.xyz 1 day ago
blog.google/…/google-gemma-ai-cancer-therapy-disc… how did it do this?
UnderpantsWeevil@lemmy.world 1 day ago
Sounds reasonable.
Does it, though? Feels like we’re just rewriting the sales manual without thinking about what “learning from video” would actually entail.
Doesn’t make sense to build a lot of compute capacity, then spend fifteen years banging on research before you have something to utilize that capacity.
There’s an old book from back in 2008 - Killing Sacred Cows: Overcoming the Financial Myths That Are Destroying Your Prosperity - that a lot of the modern Techbros took perhaps too closely to heart. It posited that chasing the next generation of technological advancement was more important than keeping your existing revenue streams functional. And you really should kill the golden goose if it means you’ve got a shot at new one in the near future.
What these Tech Companies are chasing is the Next Big Thing, even when they don’t really understand what that is. And they’re so blindly devoted to advancing the technological curve that they really will blow a trillion dollars (mostly of other people’s money) on whatever it is they think that might be.
The real problem is that these guys are, largely, uncreative and incurious and not particularly intelligent. So they leap on fads rather than pursuing meaningful Blue Sky Research. And that gives us this endless recycling of Sci-Fi tropes as a stand in for material investments in productive next generation infrastructure.
avidamoeba@lemmy.ca 1 day ago
I saw a short interview with him by France 24 and he mainy said he thinks the current direction of the research teams at Meta is wrong. He made a contrast between top-down push to deliver org as opposed to long leash, leave the researches to experiment with things. He said Meta shifted from the latter to the former and he doesn’t agree with the approach.
chrash0@lemmy.world 1 day ago
he’s been salty about this for years now and frustrated at companies throwing training and compute scaling at LLMs hoping for another emergent breakthrough like GPT-3. i believe he’s the one that really tried to push the Llama models toward multimodality
MonkderVierte@lemmy.zip 1 day ago
I don’t want him as a boss even if i were full into AI.
violentfart@lemmy.world 1 day ago
I mean come on, you can tell he’s been looking around for something else.
jjlinux@lemmy.zip 1 day ago
Yai, another BS AI slop data grabbing AI company, because we can’t have enough of that shit.
avidamoeba@lemmy.ca 1 day ago
Also he thinks LLMs are a dead end for getting smarter AI.
UnderpantsWeevil@lemmy.world 1 day ago
Well, he’s got a bowtie and Zuck wears an oversized t-shirt with Bugs Bunny dressed as a 90s rapper.
They certainly can’t both be wrong, can they?
XLE@piefed.social 1 day ago
They could both be right… From a certain point of view.
LeCun says current AI models are a dead end for progress. I think he’s correct.
Zuckerberg appears to believe long term development of alternative models will be a bigger money drain than pushing current ones. I think he’s correct too.
It looks like two guys arguing about which dead end to pursue.
tomiant@piefed.social 1 day ago
Getting Smarter AI < Making More Money
Is there more money in smarter AI or in manipulating people’s voting patterns with the tools you’ve got?
I saw Suck at Trump’s inauguration, I didn’t see this Chinese feller there.
nymnympseudonym@piefed.social 1 day ago
He’s French, actually.
This is one of the three people that basically invented Deep Learning . One of the others is Geoffrey Hinton, who got the Nobel Prize in 2024
No matter what you think of LeCun or his opinions… he’s damn well worth listening to with attention and respect.
kromem@lemmy.world 1 day ago
He’s been wrong about it so far and really derailed Meta’s efforts.
This is almost certainly a “you can resign or we are going to fire you” kind of situation. There’s no way with the setbacks and how badly he’s been wrong on transformers over the past 2 years that he is not finally being pushed out.