Christopher Akiki

@cakiki.bsky.social

data and research at @lichess.org

We recently crossed 6 million chess puzzles in our open database. Like the platform itself, Lichess data is free and open source. Go and build something cool with it, Available wherever you get your datasets!

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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)

Clifford attractor

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! 🙏

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:

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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.

Organic looking scatterplot. Blob in the bottom left. Hedgehog looking.Organic looking scatterplot. Sort of looks like Romanesco broccoli.

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 ↓ /🧵

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