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Yann LeCun raises $1B to build AI that understands the physical world

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121–130 of 529 posts

Re: Yann LeCun raises $1B to build AI that understands the physical world

#121
post #58

> But this is not an applied AI company. There is absolutely no doubt about Yann's impact on AI/ML, but he had access to many more resources in Meta, and we didn't see anything. It could be a management issue, though, and I sincerely wish we will see more competition, but from what I quoted above, it does not seem like it. Understanding world through videos (mentioned in the article), is just what video models have a…

Most folks get paid a lot more in a corporate job than tinkering at home - using the 'follow the money' logic it would make sense they would produce their most inspired works as 9-5 full stack engineers.

But often passion and freedom to explore are often more important than resources

Re: Yann LeCun raises $1B to build AI that understands the physical world

#122

Earlier quoted context omitted.

It is not free, we just pay taxes.

Retirement is the worst. You are basically forced to pay into a unsustainable system ( at least in Germany ). It already has to be subsidized by taxes .

Exactly. State retirement in Europes is not free nor great. We pay extra in taxes for it and it's only great for the present day retirees, not for those paying into the system right now who will retire into the future. It's the same as US social security, it's not some extra perk that Europeans have over Americans.

Top tier scientists aren't gonna be swayed by European state retirement systems.

Re: Yann LeCun raises $1B to build AI that understands the physical world

#123
post #83

Earlier quoted context omitted.

I didn't really know who he was, so I went and found his wikipedia, which is written like either he wrote it himself to stroke his ego, or someone who likes him wrote it to stroke his ego: > He is the Jacob T. Schwartz Professor of Computer Science at the Courant Institute of Mathematical Sciences at New York University. He served as Chief AI Scientist at Meta Platforms before leaving to work on his own startup compa…

It's not comparing him to anyone. He has an endowed professorship. This is standard in academia, and you give the name because a) it's prestigious for the recipient and b) it strokes the ego of the donor.

Right: no-one cares about the Lucasian Chair of Mathematics https://en.wikipedia.org/wiki/Lucasian_Professor_of_Mathemat... because of Henry Lucas, it's the other way around.

Re: Yann LeCun raises $1B to build AI that understands the physical world

#124
post #106

Earlier quoted context omitted.

Thinking Machines looks half-dead already. The giant seed round proves investors were willing to fund Mira Murati, not that the company had built anything durable. Within months, it had already lost cofounder Andrew Tulloch to Meta, then cofounders Barret Zoph and Luke Metz plus researcher Sam Schoenholz to OpenAI; WIRED also reported that at least three other researchers left. At that point, citing it as evidence of…

Was just a grift

Shock, gasp.

Re: Yann LeCun raises $1B to build AI that understands the physical world

#125
post #107

Earlier quoted context omitted.

Why didn't they just call it LeLabs?

I was thinking the same, are all people he hires LeSomething like those working at Bolson Construction having -son as a suffix.

First grinding LEetcode, now having to have 'Le' in the name?

I have no chance in AI industry...

Re: Yann LeCun raises $1B to build AI that understands the physical world

#126
post #117

Regardless of your opinion of Yann or his views on auto regressive models being "sufficient" for what most would describe as AGI or ASI, this is probably a good thing for Europe. We need more well capitalized labs that aren't US or China centric and while I do like Mistral, they just haven't been keeping up on the frontier of model performance and seem like they've sort of pivoted into being integration specialists a…

I don't think it's "regardless", your opinion on LeCun being right should be highly correlated to your opinion on whether this is good for Europe. If you think that LLMs are sufficient and RSI is imminent (<1 year), this is horrible for Europe. It is a distracting boondoggle exactly at the wrong time.

It's been 6 months away for 5 years now. In that time we've seen relatively mild incremental changes, not any qualitative ones. It's probably not 6 months away.

Re: Yann LeCun raises $1B to build AI that understands the physical world

#128

Regardless of your opinion of Yann or his views on auto regressive models being "sufficient" for what most would describe as AGI or ASI, this is probably a good thing for Europe. We need more well capitalized labs that aren't US or China centric and while I do like Mistral, they just haven't been keeping up on the frontier of model performance and seem like they've sort of pivoted into being integration specialists a…

While I’d love there to be a European frontier model, I do very much enjoy mistral. For the price and speed it outperforms any other model for my use cases (language learning related formatting, non-code non-research).

Re: Yann LeCun raises $1B to build AI that understands the physical world

#129
post #58

> But this is not an applied AI company. There is absolutely no doubt about Yann's impact on AI/ML, but he had access to many more resources in Meta, and we didn't see anything. It could be a management issue, though, and I sincerely wish we will see more competition, but from what I quoted above, it does not seem like it. Understanding world through videos (mentioned in the article), is just what video models have a…

> we didn't see anything.

Is it a troll? Even if we just ignore Llama, Meta invented and released so many foundational research and open source code. I would say that the computer vision field would be years behind if Meta didn't publish some core research like DETR or MAE.

Re: Yann LeCun raises $1B to build AI that understands the physical world

#130
post #52
post #30

Earlier quoted context omitted.

I don't understand this view. How I see it the fundamental bottleneck to AGI is continual learning and backpropagation. Models today are static, and human brains don't learn or adapt themselves with anything close to backpropagation. World models don't solve any of these problems; they are fundamentally the same kind of deep learning architectures we are used to work with. Heck, if you think learning from the world i…

The fact that models aren't continually updating seems more like a feature. I want to know the model is exactly the same as it was the last time I used it. Any new information it needs can be stored in its context window or stored in a file to read the next it needs to access it.

Unless you use your oen local models then you don't even know when OpenAI or Anthropic tweaked the model less or more. One week it's a version x, next week it's a version y. Just like your operating system is continuously evolving with smaller patches of specific apps to whole new kernel version and new OS release.
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