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Meta has a culture issue. There are three centres of "AI" gravity: GenAI, FAIR & RL-R Fair is fucked, they've been passed about, from standalone, to RL-R then
by KaiserPro 1y ago
Meta has a culture issue.
There are three centres of "AI" gravity: GenAI, FAIR & RL-R
Fair is fucked, they've been passed about, from standalone, to RL-R then to "production" under industrial dipshit Cox. A lot of people have left, or been kicked out. It was a power house, and PSC (the 6month performance charade killed it)
GenAI was originally a nice tight and productive team. Then the facebook disease of doubling the team every 2 months took over. Instead of making good products and dealing with infra scaling issues, 80% of the staff are trying to figure out what they are supposed to be doing. Moreover most of the leadership have no fucking clue how to do applied ML. Also they don't know what the product will be. So the answer is A/B testing what ever coke dream Cox dreamt up that week.
RL-R has the future, but they are tied to either Avatars, which is going to bomb. It'll bomb because its run by an prick who wants perfect rather than deliverable. Moreover splats perform way better than the dumbarse fully ML end-to-end system they spend the last 15 billion trying to make.
Then there is the hand interaction org, which has burnt through not quite as much cash as Avatars, but relies on a wrist device that has to be so tight it feels like a fucking handcuff. That and they've not managed to deliver any working prototype at scale.
The display team promised too much and wildly underdelivered, meaning that orion wasn't possible as a consumer product. Which lets the write team off the hook for not having a comfortable system.
Then there is the mapping team who make research glasses that hovers up any and all personal information with wild abandon.
RL-R had lots of talent. But the "hire to fire" system means that you can't actually do any risky research, unless you have the personal favour of your VP. Plus, even if you do perfect research. getting it to product is a nightmare.