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

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

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!

Barista in the morning, AI engineer by day, and parent (with @shiwen) by night ||
Host at /clickcast /cpg

I mean my posts on the applied so are also among my least engaged with stuff too. There’s only a handful of us that seem to care but we do so deeply

TimesFM interesting transformers for time series

Dia is great for text to soeech small open model

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)