Crazy stuff. Everyone’s covering how exciting all these are (especially LCM and the non-tokenizing-tokenizer), but I have to ask in case anyone’s been paying attention: why are they using the term “advanced machine intelligence”? My initial thought is that they want to please/distract the doomers, but I’m prolly just self-centered!
Sharing new research, models, and datasets from Meta FAIR
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Re: Sharing new research, models, and datasets from Meta FAIR
#22Re: Sharing new research, models, and datasets from Meta FAIR
#23Re: Sharing new research, models, and datasets from Meta FAIR
#24Re: Sharing new research, models, and datasets from Meta FAIR
#25Re: Sharing new research, models, and datasets from Meta FAIR
#26When I wonder about the business behind Meta doing this, I see they have $70B in cash, so giving a bunch of AI experts hundreds of millions is pocket change.
Re: Sharing new research, models, and datasets from Meta FAIR
#27Meta's "Video Seal": Because nothing says "trustworthy" like a digital chastity belt. Imperceptible, they claim, yet robust enough to survive the gauntlet of internet mangling - sounds like the perfect tool to invisibly track content, not just watermark it.
Re: Sharing new research, models, and datasets from Meta FAIR
#28When I wonder about the business behind Meta doing this, I see they have $70B in cash, so giving a bunch of AI experts hundreds of millions is pocket change.
Suppose any one of these things happened and suddenly Facebook wished that it had access to state of the art models so that it could customize them for its uses (internal developers or tools, embedding in their app).
Imagine how they would feel if the only way they could access these models were by signing 7-9 figure deals with a model dealer like OpenAI. Even worse, imagine if one of their main competitors in advertising started providing robust AI tools to help advertisers adapt their creatives to various form factors. Facebook is now way behind and possibly has to shell out millions to a company like OpenAI all while also losing ad market share worth billions per quarter (ads on Google start performing much better, so Google gets more ad spend)
If this worst case scenario came to pass, Facebook would look foolish. If even one of these things were likely their investments make sense. The rest (open source, make meta a cool place to work) are a strategy credit.
Re: Sharing new research, models, and datasets from Meta FAIR
#29meta has certainly redeemed itself and helping AI become moat-free
They still ruin society with the Facebook, no matter how much good they do with LLM.
As for social impact of the rest it's debatable. I personally don't have active social accounts, and not sure this is good.
Re: Sharing new research, models, and datasets from Meta FAIR
#30Crazy stuff. Everyone’s covering how exciting all these are (especially LCM and the non-tokenizing-tokenizer), but I have to ask in case anyone’s been paying attention: why are they using the term “advanced machine intelligence”? My initial thought is that they want to please/distract the doomers, but I’m prolly just self-centered!