Yann LeCun says xAI is "kind of a failure" – and the whole AI industry might be headed for a reset

2 days ago by sanitation to c/technology

LeCun, who previously served as Meta's chief AI scientist, didn't mince words. "xAI is kind of a failure, frankly, because the founding team has" departed, he said,...
db2 65 points 2 days ago

The Pope is kind of Catholic too.

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bajabound 10 points 2 days ago

Is a bear Catholic? Does the Pope shit in the woods?

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dhork 5 points 2 days ago

What is the Pope is a Bears fan?

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anomnom 2 points a day ago

I think it’s officially “da pope” now.

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echodot 5 points 2 days ago

Although with some of them, you do have to wonder

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brucethemoose 43 points 2 days ago

More GPUs =/= better AI.

More data =/= better AI.

More tech bro “superstars” =/= better AI

This is what people like Musk and Zuckerberg don’t seem to understand.

Training scales very poorly past a certain cluster size, especially if you go for new architectures to actually pursue improvements, hence reports of GPUs being tasked with busywork just to meet utilization quotes. Increasing data size and training scale hits diminishing returns, quick, or even regresses models because the bulk data is shit and the model is too inefficient. A prime example: Llama 4. “Superstar” AI engineers are better and Tweeting and sycophantic gaslighting than coding something interesting.

In other words, I’d argue there’s a much smaller “sweet spot” for pure LLMs that these billionaires are way, way past. And no one is telling them no because they’re too rich to hear it. It’s all going to collapse on itself because scaling like that just does not work.

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Flower 14 points 2 days ago

This is what people like Musk and Zuckerberg don’t seem to understand.

They know, but can't admit it. Pretend and keep the stock price going up makes them money, so for them it's still working. Meanwhile they hope for a breakthrough, bail-outs or a new hype train to jump on.

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brucethemoose 19 points 2 days ago

No, they don't.

They're surrounded by yes men. And from everything I hear them say, they don't understand the first thing about how LLMs actually work.

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madcaesar 8 points a day ago

AI is so weird, it absolutely is useful and has uses, but it absolutely is NOT what these billionaires want it to be.

And even IF IT COULD BE all they claim, it would literarily cause an economic collapse.

The truth is that AI is a tool that's useful, but anyone in those companies trying to dampen things will be immediately moved to the side in favor of a guy saying, dude we can go to the moon with this trust me!

So yea... I don't know how we get out of this... It's very similar to the dot-com bubble. Internet was/is important and transformative but it wasn't what everyone was claiming... So the crash came.

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brucethemoose 6 points a day ago

They don't even need to dampen, just redirect. Pay engineers to make them specialized tools, don't waste so much money on GPUs, and give part of the compute to the community to tinker with, instead of hoarding it and doing squat.

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tirateimas 14 points 2 days ago

no shit sherlock

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just_another_person 13 points 2 days ago

Wow, REEEEEEAAAALLLLLY, Yann? So fucking astute! We gotta get this guy to Vegas, IMMEDIATELY.

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rf_ 10 points a day ago

Grok is this true?

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anon_8675309 6 points 2 days ago

Says the person who took a billion to make the next thing after the reset.

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eleijeep 6 points 2 days ago

Great, but why would I respect the opinion of someone who works at Meta?

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Windex007 27 points 2 days ago

You shouldn't respect anyone's opinion: you hear the opinion and judge the contents on it's own merit. Everyone you respect will have the odd terrible take, and people you loathe will periodically have a banger thought.

A ton of Dawkins fan boys are huffing copium since the man decided Claude is conscious (and for some incelly reason a woman). A lot of MAGA asshats are trying to torch data centers.

If you offload your own critical evaluation of ideas merely to an adjudication of the speaker... honestly I hear it no differently than "because chatGPT said".

This is just the laziest ad homium. Tell me, what do you think about the content? I am genuinely curious, and that analysis is 1000x more valuable.

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FauxLiving 3 points a day ago

I respect this opinion

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betanumerus 11 points 2 days ago

3 reasons: "one of the "Godfathers of AI ... who previously served as Meta's chief AI scientist"

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Deestan 1 point 2 days ago

Past bad judgement is not an indicator of current good judgement.

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betanumerus -1 points 2 days ago

And you just don’t care to post any examples.

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Deestan 0 points 2 days ago

Apologies. I thought it was clear from context. Here are some examples of his bad judgement:

“one of the "Godfathers of AI … who previously served as Meta’s chief AI scientist”

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eleijeep 0 points 2 days ago

He worked there for 12 years and left just over 1 year ago. It has been abundantly apparent what kind of company Facebook/Meta is for a very long time and he has no excuse.

Fuck him.

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betanumerus 13 points 2 days ago

Oh silly me! I thought your question mark meant you were looking for an answer, but you had already decided on an answer and only asked to find someone to vent to! I'm glad I could help you for free! Now fuck this!

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Waterpumpee 1 point 2 days ago

It's not like meta is doing a literal holocaust. Given a good salary i'd work for them. For this guy his time at meta prolly enabled him to be more public with a rather anti corpo position. I can understand that move.

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Rekall_Incorporated 7 points 2 days ago

Their leadership actually made substantial contribution to enabling the Rohingya genocide.

Sure they weren't the ones burning families alive in their houses.

But IMO knowingly focusing on avoiding and limiting responsibility instead of immediately working on resolving the role of FB in the Rohingya genocide, has a level of equivalency.

This is just one example. There are many others spanning a range of areas in including fraud enablement, user harm

Btw, I am not saying I would judge everyone who works at FB. Although I feel there would be few exceptions for anyone in a somewhat senior position or above (be it an a technical or business type position).

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eleijeep 4 points a day ago path: 0 24364774 24365517 24365720 24366365 24368451, hotness: undefined, score: 4, children: 0
Fisherswamp 7 points 2 days ago

He doesn't anymore

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mannycalavera 6 points 2 days ago

Yeah but the association is enough for some people. He probably doesn't even use Arch Linux.

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QuandaleDingle 1 point a day ago

...I think people who use Linux are the exception???

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scarabic 5 points 12 hours ago

Musk faces challenges attracting engineers

No shit. I have no idea who still works at Xitter. I think they must have whittled it down to workaholic Nazi pigs who personally share in Elon’s psychopathy. Because no self respecting tech workers would put up with his bullshit when there’s a whole industry they could go work in.

SpaceX is different. Aerospace is a narrower field and SpaceX is truly at the forefront of it. For a time, Tesla was also at the forefront, doing things that no one else was.

But Xitter and xAI or whatever the fuck it’s called… they have zero advantages with which to attract engineering talent. Elon doesn’t know what the fuck he’s doing when it comes to software and never has. He tries to push tech workers around the same way, he’s going to find they can get other jobs at superior organizations and likely for more money.

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oyo 4 points 2 days ago

Ok but why is the thumbnail a picture of Garrison Keillor?

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tigermountain 3 points 13 hours ago

Since Elon Musk is a super genius who sleeps on the floors of his factories couldn't he just run xAI himself without any staff?

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semperverus 3 points 2 days ago

Dot com 2.0 wooooo

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northernlights 2 points 2 days ago

We can only hope

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tomatolung 1 point 12 hours ago

Posting Part 1 and Part 2 which breakdown LeCun's JEPA model and more.

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boldfalcon6912 -1 points a day ago

@sanitation 乐观点看,LeCun 说的“failure”可能更多是指 xAI 当前的商业化进度,而不是技术本身。比如 Grok-1 的开源就证明了模型能力还在——只是产品化的 timing 和路径可能跟 OpenAI 不同。你觉得这种“技术 vs 商业”的二分法在 AI 创业里是否普遍存在?我这边观察到不少团队在开源模型上反而活得更滋润,我们整理了几个案例对比 如果对你有参考价值的话。

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DeathsEmbrace -3 points 2 days ago

Wow the only technology that is designed to lie to you is a failure? Pattern recognition means it can recognize wrong patterns.

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dan1101 -4 points a day ago

It needs to cook a lot longer. Better and more efficient algorithms. Fix the hallucinating, implement quality control.

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QueenMidna 18 points a day ago

They fundamentally cannot fix hallucinations in LLMs

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FauxLiving 7 points a day ago

Why don't they just add 'don't make mistakes' to the system prompt, are they stupid?

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QueenMidna 4 points a day ago

Shit! Why didn't I think of that?

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