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bobxmax | 4 months ago

I thought Alex Wang was a very curious choice. There are so many foundational AI labs with interesting CEOs... I get that Wang is remarkable in his own right, but he basically just built MTurk and timed the bubble.

Doesn't really scream CEO of AGI to me.

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godelski|4 months ago

A lot of people also don't know that many of the well known papers are just variations on small time papers with a fuck ton more compute thrown at the problem. Probably the strongest feature that correlates to successful researcher is compute. Many have taken this to claim that the GPU poor can't contribute but that ignores so many other valid explanations... and we wonder why innovation has slowed... It's also weird because if compute was all you need then there's a much cheaper option than Zuck paid. But he's paying for fame.

crystal_revenge|4 months ago

> A lot of people also don't know that many of the well known papers are just variations on small time papers with a fuck ton more compute thrown at the problem.

I worked for a small research heavy AI startup for a bit and it was heart breaking how many people I would interact with in that general space with research they worked hard and passionately on only to have been beaten to the punch by a famous lab that could rush the paper out quicker and at a larger scale.

There were also more than a few instances of high-probability plagiarism. My team had a paper that had been existing for years basically re-written without citation by a major lab. After some complaining they added a footnote. But it doesn't really matter because no big lab is going to have to defend themselves publicly against some small startup, and their job at the big labs is to churn out papers.

BobbyTables2|4 months ago

It’s funny.

I learnt the hard way that communications/image/signal processing research basically doesn’t care about Computer Architecture at the nuts and bolts level of compiler optimization and implementation.

When they encounter a problem whose normal solution requires excessive amounts of computation, they reduce complexity algorithmically using mathematical techniques, and quantify the effects.

They don’t quibble about a 10x speed up, they reduce the “big O()” complexity. They could care less whether it was implemented in interpreted Python or hand-optimized assembly code.

On one hand, I know there’s a lot of talent in AI today. But throwing hardware at the problem is the dumbest way forward.

WiFI adapters would be wheeled luggage if we had the same mentality during their development.

rhetocj23|4 months ago

Frankly this is the reason why Im not convinced the current movement of LLMs will yield anything close to the dream.

The right people to deliver immense progress dont exist right now.

thereitgoes456|4 months ago

The reportings at the time said that he was Mark’s 5th choice or similar. It is fairly clear he would prefer Ilya, Murati, Mark Chen, and perhaps others, but they said no, and Alex Wang was the first one to say yes.

tsunamifury|4 months ago

Why in the world would he want Murati? She has absolutely no technical chops and was not functionally CTO of OpenAI.

arthurcolle|4 months ago

The self-supervised mesa-optimizer strikes again

tsunamifury|4 months ago

Alexandr Wang is not interesting and a few steps short of a fraud that Mark had to bail out because he was so co invested.

Shareholders should be livid if they knew a single thing about what was going on.

typpilol|4 months ago

Tell me more