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Meet Stitch by Google Labs, the easiest and fastest product to generate great designs and UIs. 🧵 stitch.withgoogle.com

github.com/ml-stat-Sustec…

anthropic.com/events

go try out our new models! i hope y’all enjoy using them as much as i enjoyed working on them :)

Crazy 😮

sean.heelan.io/2025/05/22/how…

an interesting paper towards a new type of tokenization after a long time: arxiv.org/pdf/2503.13423 > super-bpe operates in two steps: (a) initally, the model learns subword units as in traditional BPE (b) then, the model identifies and learns frequent multi-word expressions,

> be deepest > drop new R1 model, open > don't elaborate

People don’t give computational photography enough credit. If you want a glimpse of the future, check out Sony’s IMX636 sensor. Event-based imaging mimics the human retina by adding an additional property; Time. Here’s what it can do.

«You're called Atlas, right, from the Google clan… What are your gimmicks? Omega SWA? Polynomial features on KV? Muon for updating internal memory? Strict generalization of Transformer, you say? Hooh… This will be FUN!» (no shade, I do want Sukunaformer to lose finally…)

the mit 6.S184 lectures on flow matching and diffusion are really helpful for those who want to start with flow matching and in depth intuition behind it