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

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

#291
post #262

Earlier quoted context omitted.

Scale has also built massive amounts of proprietary datasets that they license to the big players in training. Meta, Google, OpenAI, Anthropic, etc. all use Scale data in training. So, the play I’m guessing is to shut that tap off for everyone else now, and double down on using Scale to generate more proprietary datasets.

OpenAI and Anthropic rely on multiple data vendors for their models so that no outside company is aware of how they train their proprietary models. Forbes reported the other day that OpenAI had been winding down their usage of Scale data: https://www.forbes.com/sites/richardnieva/2025/06/12/scale-a...

And scale doesn’t even have the best data among these vendors so I also don’t get this argument

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

#297
post #157

Earlier quoted context omitted.

It's a wild story for sure. Dropped out of MIT after freshman year and starts Scale to do data labeling. Three years later Scale has a $1B valuation and two years after that Wang is the world's youngest billionaire. Nine years after Scale's founding they're still doing less than $1B in annual revenue. Yet Meta is doing a $14B acquihire. There's definitely more than meets the eye. I suspect it involves multiple world…

> Dropped out of MIT after freshman year and starts Scale to do data labeling I was in their YC batch, so two notes: 1. He didn't start it himself 2. They weren't doing data labeling when they entered YC. They pivoted to this.

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

#298

Earlier quoted context omitted.

Scale has also built massive amounts of proprietary datasets that they license to the big players in training. Meta, Google, OpenAI, Anthropic, etc. all use Scale data in training. So, the play I’m guessing is to shut that tap off for everyone else now, and double down on using Scale to generate more proprietary datasets.

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…

Could be they need a perpetual license to the data too… so they could potentially sue everyone.

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

#299

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.

How do you feel about him now becoming an exec?

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

#300
post #56

Earlier quoted context omitted.

Of all the tech companies, Meta is the most ruthless and shameless. You'd have to be a total fool to trust Zuck, especially Zuck who put billions into AR for not much return and now billions into AI to create lackluster lagging models.

Off base when considering the likes of Palantir and many others. Not a fan of the person or many of Meta's business practices. But Meta has given a lot back with Llama and PyTorch, among many other open source contributions. Which others in the space are not doing.

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