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Meta invests $14.3B in Scale AI to kick-start superintelligence lab

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361–370 of 507 posts

Re: Meta invests $14.3B in Scale AI to kick-start superintelligence lab

#361

Earlier quoted context omitted.

I wondered that. But then huge revenue streams for Scale basically disappear immediately. Is it worth Meta spending all that money just to stop competitors using Scale? There are competitors who I am sure would be very eager to get the money from Google, OpenAI, Anthropic etc that was previously going to Scale. So Meta spends all that money for basically nothing because the competitors will just fill the gap if Scale…

Yeah, also the industry could come up with their own Scale if they were forced to. But probs. it just makes sense on paper, Scale's revenue will pay this for itself and what they could do is to give/keep the best training sets for Meta, for "free" now. Zuck's not an idiot. The Instagram and WhatsApp acquisitions were phenomenal in hindsight.

is he not?

what about the whole metaverse thing and renaming the whole company to meta?

Re: Meta invests $14.3B in Scale AI to kick-start superintelligence lab

#362

Earlier quoted context omitted.

It's a smart purchase, it's just that I don't see how these datasets factor into super-intelligence. I don't think you can create a super-intelligent AI with more human data, even if it's high-quality data from paid human contributors. Unless we watered-down the definition of super-intelligent AI. To me, super-intelligence means an AI that has an intelligence that dwarfs anything theoretically possible from a human m…

> It's a smart purchase, it's just that I don't see how these datasets factor into super-intelligence. It's a smart purchase for the data, and it's a roadblock for the other AI hyperscalers. Meta gets Scale's leading datasets and gets to lock out the other players from purchasing it. It slows down OpenAI, Anthropic, et al. These are just good chess moves. The "super-intelligence" bit is just hype/spin for the journal…

> These are just good chess moves. The "super-intelligence" bit is just hype/spin for the journalists and layperson investors.

Which is kind of what I figured, but I was curious if anyone disagreed.

Re: Meta invests $14.3B in Scale AI to kick-start superintelligence lab

#363

Earlier quoted context omitted.

No I didn’t. He is functionally irrelevant at Meta and he doesn’t actually lead anything.

Weird, Meta says it's their Chief AI Scientist [1]. But maybe they're wrong ... 1: https://ai.meta.com/people/396469589677838/yann-lecun/

Cool. So what does a chief AI scientist do?

Re: Meta invests $14.3B in Scale AI to kick-start superintelligence lab

#365

I have been working at Scale for 2yrs now. Their data is shit, the majority of the contributions live in the 3rd world and all of them use gpt and other big models. I'm eagerly waiting for the AI hype to disappear to see all those corporates lose their money.

You want your own employer to fail?

Re: Meta invests $14.3B in Scale AI to kick-start superintelligence lab

#366

It doesn’t seem at all wise to give the least ethical among us access to a super intelligence. Not trying to single out Zuck specifically, though his challenges with ethics do seem well documented. Rather, I’m speaking about the entire industry. Humanity isn’t demanding this, only those at the top seem to want it, and they seem to want it so they can keep more share of the pie for themselves, and decrease the size of…

But how else would I be able to generate highly realistic photos of shrimp Jesus? Surely that’s more important than everything else…

Re: Meta invests $14.3B in Scale AI to kick-start superintelligence lab

#367
post #42

> “…opportunities of this magnitude often come at a cost,” Wang wrote in the memo that he shared on X. “In this instance, that cost is my departure.” Gavin Belson would be proud. Or at least steal the quote; same thing, really.

I can clearly see a connection between Gavin Belson and Wang

No personal attacks, please.

Re: Meta invests $14.3B in Scale AI to kick-start superintelligence lab

#368

I work at Meta. Scale has given us atrocious data so many times, and gotten caught sending us ChatGPT generated data multiple times. Even the WSJ knew: https://www.wsj.com/tech/ai/alexandr-wang-scale-ai-d7c6efd7 https://archive.is/5mbdH We intentionally didn’t use them at all for Llama 2 and mostly avoided using them for Llama 3, but execs kept pushing Scale on us. Total mystery why until now, guess this explains it.

Interesting that your comment got flagged almost instantaneously

It was initially killed by a software filter. Those are tuned more strictly for (some) new accounts. It had nothing to do with the content of the comment, though admittedly that is less "interesting".

For anyone who doesn't know: if you see a comment which is [dead] but shouldn't be, you can vouch for it (https://news.ycombinator.com/newsfaq.html#cvouch).

Re: Meta invests $14.3B in Scale AI to kick-start superintelligence lab

#369
post #338

Earlier quoted context omitted.

I think everyone is greatly overestimating VR. The thing is, I can imagine some futuristic version of AI that transforms humanity. But with VR, even in my wildest dreams with all the problems solved, it’s still just second best to smartphones and computers. Imagine the perfect headset. Tiny, battery lasts forever, photo-realistic. I would still rather browse the Internet on my phone. I’d rather do my work on my lapto…

> What is the VR adding? Nothing but extra hoops to just through to get things done. It gives you maximum immersion into a digital world. Rather than view it through a rectangular 2D window, it can encompass 360 degrees of your vision in full 3D. If you don't see how this would be appealing for consuming content, work, entertainment, etc., then I can't convince you otherwise. VR adoption has always been held back by…

"It gives you maximum immersion into a digital world." But then you failed to explain why anyone should care.

Re: Meta invests $14.3B in Scale AI to kick-start superintelligence lab

#370
post #317

Earlier quoted context omitted.

If anything, "abstract links across domains" is the one area where even very low intelligence AI's will still have an edge, simply because any AI trained on general text has "learned" a whole lot of random knowledge about lots of different domains; more than any human could easily acquire. But again, this is true of AI's no matter how "smart" they are. Not related to any "super intelligence" specifically. Similarly,…

I don't think current models are capable of making abstract links across domains. They can latch onto superficial similarities, but I have yet to see an instance of a model making an unexpected and useful analogy. It's a high bar, but I think that's fair for declaring superintelligence. In general, I agree that these models are in some sense extremely knowledgeable, which suggests they are ripe for producing producti…

I don't know about "useful" but this answer from o3-pro was nicely-inspired, I thought: https://chatgpt.com/share/684c805d-ef08-800b-b725-970561aaf5...

I wonder if the comparison is actually original.

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