Harsha

I keep thinking it's a reminder "here's what you CUDA done if you knew how to" :D

Excited to host Andrei, PhD student @ IST who will present 'Pushing the limits of LLM quantization via the linearity theorem' on Jan 10 @ 1800 CET at Cohere For AI. Really cool results and look forward to the talk. Join the community: tinyurl.com/C4AICommunit...

Diffusion in its other variants (Perona-Malik, Edge-Enhanching) was used and was well known in CV right? and they were used quite a bit. Modern interest in diffusion seems to have progressed rapidly post the success of DALL-E [the latter part is what I think].

I wonder if its possible to setup something like backblaze + mount it on colab [something like fsspec maybe?]

Even as someone in the field, I was quite thrilled with how it performed [especially in the many Indian languages I used while interacting].

Definitely recommend anyone using mac terminal/iTerm to give it a shot, its very user-friendly [and power-user friendly].

I was a beta-tester on #ghostty [though I got in towards the end of the period]. I primarily used alacritty before -- and both were very fast and I would say on average I might not be able to tell them apart. However, I love the customizability, snappiness and well-thought out it is.

Looking sharp, and yes Twitter was a challenging place to be the past few days._.

I am so glad that I'm not the only one XD I feel the same way about systems too.

GitHub - wuhuikai/TF-A2RL: The official implementation for A2-RL: Aesthetics Aware Rinforcement Learning for Automatic Image Cropping The official implementation for A2-RL: Aesthetics Aware Rinforcement Learning for Automatic Image Cropping - wuhuikai/TF-A2RL

Didn't the early work from Deep Mind on atari directly work on image space? (More like RL adopting deep learning techniques in CV). I also remember this: github.com/wuhuikai/TF-...

Yes, and the original sin of computer science was its haughty conception as a subfield of mathematics rather than an engineering discipline.

If there's an error message, is it really unexpected?

What would you consider as evals that semi-reflect practical utility right now?

Time to find all the ML Systems and Efficiency folks on Bluesky :)