Andrej Karpathy

Andrej Karpathy

@karpathy

Building a kind of JARVIS @ OреոΑӏ. Previously Director of AI @ Tesla, CS231n, PhD @ Stanford. I like to train large deep neural nets 🧠🤖💥

Stanford t.co انضم Apr 2009
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Reading through OpenAI Whisper paper https://t.co/3PmWvQNCFs some notes: https://t.co/QVeqaGVvsV

Stable Diffusion concepts library https://t.co/X2jHPdWp4E textual inversion is amazing - can train a custom word vector (not otherwise reachable by english text) to mean a concept,...

why settle for a few images from #stablediffusion when you can slowly walk your way around the sample space and create hyponotic videos you can't look away from? In this 2min video...

“Exploring Plain Vision Transformer Backbones for Object Detection” https://t.co/E1POjnFmgZ Excellent read as usual from the FAIR team. Strong object detection results with only mi...

🤔🤔 What is the hello world of Human?

Computer vision research feels a bit stagnating in a local minimum of 2D texture recognition on ImageNet, COCO etc. This is great but only step 1. Unlocking further progress needs...

The Matrix: Resurrections out at midnight (on HBO Max) 🤓🍿

Total blast from the past, re-discovered some of my really old super janky side projects from ~15 years ago. Some I am low-key impressed with and not sure I'd be able to re-write :...

The ongoing consolidation in AI is incredible. Thread: ➡️ When I started ~decade ago vision, speech, natural language, reinforcement learning, etc. were completely separate; You co...

Really excellent reading and pointers from @ericjang11, putting into words a new "Just Ask for Generalization" approach/philosophy to AI that the field has been slowly internalizin...

A fun story of trying to buy one small black coffee at Starbucks the other day. Normally this is one $5 transaction at the register, 5 seconds at the drip, done. But this Starbucks...

Perceiver IO is good reading/pointers for neural net architectures https://t.co/cVrTTHdzot esp w.r.t. encoding/decoding schemes of various modalities to normalize them to & from Tr...