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

Do it for him, our under appreciated AI hero 

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

ahhh got it, i’m not much interested in the academic stuff i’m trying to ensure i am up to date on:

1. text to speech and speech to text (people pay me to apply this for them)
2. image labeling and classification (same as above)
3. time series prediction + anomaly detection (i love projecting revenue)

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

💯. @gm8xx8 had some of the best, high signal AI research casts and insight (eg related to small language models).

I think the lack of engagement on their casts was less of function of the content itself and more a function of the general Farcaster community not really being interested in cutting edge AI research and trends.