aichannel

is there any interest in cast summaries like these of new ML papers from big companies? 

Apple’s approach: https://arxiv.org/abs/2412.06329 [2412.06329] Normalizing Flows are Capable Generative Models

Meta’s approach: https://arxiv.org/abs/2210.02747 [2210.02747] Flow Matching for Generative Modeling

𝚐𝔪𝟾𝚡𝚡𝟾

Do it for him, our under appreciated AI hero

He was a prolific poster of /ai research and sometimes called out things that would happen weeks/months later, but his academic way of posting didn't get a lot of engagement. So I think he went back to X where much of his crowd is!

not promising you’re sending me a cast with no likes

Do it for him, our under appreciated AI hero 

https://farcaster.xyz/gm8xx8/0xda629828

The Farcaster formerly known as Kchamp. Books, beats, bodybuilding, bright ideas and beautiful things.

katherinechampagne.com

yes give an example why they’re relevant or sample use case

should i include the top level task? like these are for labeling and generating images (you can apply them to other tasks but they won’t be sota)

yes please just do it please of course there’s interest

CEO of Mid Curve Capital. Building @daosdotworld

I do know a bit about stable diffusion ..

multiple approaches to doing image stuff, most recently the hype has been one way for images one way for LLMs, apple says hey the LLM approach can be good for images too

yes but dumbed down for the retards like me

Yes please. I try to do the same so it’s nice for us to have discussions on this :)

mix all arxiv articles and agi will be achieved on farcaster (internally)