The next 20 years of innovation is going to blow your mind.

maybe next year cal football will be good again

printing out papers makes reading them 10x more enjoyable

Enjoyed visiting UC Berkeley’s Machine Learning Club yesterday, where I gave a talk on doing AI research. Slides: docs.google.com/presentation/d… In the past few years I’ve worked with and observed some extremely talented researchers, and these are the trends I’ve noticed: 1. When

i love the idea of third places and really think we should have more of them available or places to hang out in general

ML@B is super excited to have partnered with Udacity on their Generative AI Nanodegree Program which launched today! It covers various topics, enabling developers to integrate generative AI into software applications. Check it out here: tinyurl.com/yc63zb88!

New Agentic LLM model finds which frame to look at to handle complex video queries....

Excited to share this new work!

Happy to share that our 𝐌𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 work🤖 has been accepted to #EMNLP2024 Main conference! Hope to see everyone in Miami!🥳🌞🌅 Kudos to all authors and collaborators: chuyi shang, Amos You, Sanjay Subramanian, and trevordarrell.

shanghai doing its best amsterdam impression:

I wrote a new blog on TPUs -- it's been fun seeing how different they are from GPUs and also drawing things on excalidraw again✏️ henryhmko.github.io/posts/tpu/tpu.…

i am once again asking Weights & Biases to make a phone app so that i can monitor the situation when i'm outside

Latent Implicit Visual Reasoning Current LMMs are text-centric and struggle with visual reasoning tasks. LIVR trains models to discover visual reasoning tokens implicitly—no supervision needed—enabling task-adaptive visual abstraction that outperforms explicit methods.

The Berkeley Bowl Berkeley Bowl at California Memorial Stadium

> intuitions of how to go from pytorch to jax > training language models from scratch > how to scale ur model pt 2 > lfggg