Open library
The essential reading of generative AI and agents, open in a clean reading view, with Meow and Standard summaries when available. No account needed to read.
560 papers · 558 with a Meow summary · 333 posts
Key publications from Anthropic, OpenAI, Google DeepMind, Meta, DeepSeek, Qwen, Z.ai, Kimi and other labs, plus the most influential essays and blogs.
Aäron van den Oord, Sander Dieleman · Google DeepMind
WaveNet’s central claim is that generating raw audio directly can bring synthesized speech closer to human speech, while letting the same model generate music.
Lilian Weng
Video diffusion must keep objects and motion coherent across frames, not just make convincing individual images; limited high-quality video data makes that harder.
Lilian Weng
Diffusion models combine analytical tractability with flexibility, but pay for it with a long, expensive sampling chain.
Jay Alammar
Stable Diffusion generates text-guided images by repeatedly predicting and removing noise in compressed latent space, then decoding the result into pixels. Latent-space processing speeds the work; attention brings prompt information into denoising.