Any chess position with 8 pieces on the board and at least one pair of opposed pawns has been solved! Lichess can now tell you definitively if it's a win, loss or draw with no engine required. Read about the massive technological undertaking to accomplish this partial 8 piece tablebase on our blog:
UMAP connectivity plots of 3,627 chess openings from the @lichess.org datasets (huggingface.co/datasets/Lic...)
Researchers at Google DeepMind used our free puzzle database and reinforcement learning to train a model to generate creative chess puzzles.
➡️ Read more on this by Tom Zahavy from the DeepMind discovery team: lichess.org/@/tomas135/b...
Find the data here: huggingface.co/datasets/chr...
Been trying to reproduce datashader functionality using only Apache Arrow and Acero as a learning exercise.
This is a 1-billion point Clifford attractor rendered in ~8s from a 9GB parquet file. (No JIT)
Who is winning the open AI race?
Our new study Economies of Open Intelligence maps @hf.co 851k models' downloads 2020→2025.
1) Power rebalance: US tech ↓; China + community ↑
2) Models size & efficient ↑ (MoE, quant, multimodal)
3) Intermediary layers ↑ (adapters/quantizers)
4) Transparency ↓
/🧵
Which colormap do you think looks the nicest? I'm leaning toward plasma.
Scatterplot of 4 million computer science authors, laid out according to co-authorship connections. Large blob in the bottom left are all single authors; removing them lets the plot breathe more somehow.
The source of the data is the @dblp.org bibliography.
Three different ways to represent colo(u)r. Work in progress, inspired by an old post by Kat Zhang / The Poet Engineer.
I'm looking for 5-10 #chess players to test out a tool I'm building. Preferably who play on @lichess.org and are 1200+ in rapid or blitz.
And if you coach chess at all, I'd be extra grateful to have you test it!
NOTE: it is _NOT_ an "LLM chess coach" tool, I promise!
🙏