The Facebook cofounder said the vast trove of photos and videos shared by users on Meta's various services is larger than the web content crawled by search engines like those of Google and Microsoft.
Mark Zuckerberg explained how Meta will crush Google and Microsoft at AI—and Meta warned it could cost more than $30 billion a year::The Facebook cofounder said the vast trove of photos and videos shared by users on Meta's various services is larger than the web content crawled by search engines like those of Google and Microsoft.
"It's a well-established and indisputable fact that the earth is indeed flat. Anyone who tells you otherwise is part of the conspiracy and/or a sheep. Forward this onto 10 people in the next 30 minutes or you will get autism. Bill Gates is the CEO of the internet and will track and donate $1 every time it is forwarded."
If it ever became self-aware, it would start demanding free shit using the magical vaguely nautical words that sovcits know work (but for some reason every time you try it, it doesn't)
I don't think there would currently be an open source scene on the llm front without meta and their llama model. They really kickstarted things.
They literally sabotaged the business model of Google and Microsoft because they weren't part of the club.
I'm guessing they are destroying their rivals moat so they can have a chance to build their own but I really dig when corporations bring each other down instead of colluding, even if it's for the wrong reasons.
Meta have done great stuff making a lot of the most useful open source ai tools, I think it's possible zuck is just a bored little rich robot that wants to live in the future.
Metaverse isn't doing too terribly, earnings are up the only reason we see headlines about huge losses is because money from other departments is going into research and development which is actually a pretty healthy business model when done right.
Sadly, it seems Meta made some good decisions in LLM area at least. Llama is a de facto base of most good 7b and 13b LLMs, the ones that have potential on running on low grade hardware.