data and research at @lichess

Joined July 2009
234 Photos and videos
Pinned Tweet
4 million @lichess chess puzzles
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Christopher Akiki retweeted
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)
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What's everyone using for their CPU-intensive data workflows? Modal? Lambda? Hetzner? Something else?
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Christopher Akiki retweeted
Introducing AutoScientist. Most model training fails outside of frontier labs. AutoScientist automates the full research loop so it doesn't have to.
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Christopher Akiki retweeted
I had a great time chatting with @fishnets88 about EVoC -- the interactive tools for @marimo_io did an amazing job at making the speed and cluster layer effects much clearer and easily explorable. It is definitely worth a watch if you have time. youtube.com/watch?v=ES4PPjK2…
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Christopher Akiki retweeted
here they are: huggingface.co/Lichess
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Sad story in two acts.
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UMAP connectivity plots of 3,627 chess openings from the @lichess datasets (hf.co/datasets/Lichess/chess…)
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TIL: @kaggle frontend now parses .parquet files and renders them!
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@MeganRisdal Is there any forum post I can subscribe to and follow along? I'm guessing I now need to add a metadata file, but not sure how to go about doing that.
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Which colormap do you think looks the nicest? I'm leaning toward plasma.
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4M @dblp_org authors with 29M co-authorship edges.
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Removing the single-author-ball lets the plot breathe. More structure in this version.
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Obsessed with this @ScienceMagazine cover
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Christopher Akiki retweeted
The open AI race is becoming more competitive, and more international. Check out @Melissahei's excellent coverage of our new study in the @FT! ft.com/content/931c8218-a9d7…
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Christopher Akiki retweeted
Who is winning the open AI race? Our new study "Economies of Open Intelligence" maps 2.2B @huggingface downloads across 851k models (2020→2025). 1) Power is rebalancing (US big tech ↓; China community ↑) 2) Models got big & efficient (MoE, quant, multimodal surge) 3) Intermediaries now matter (adapters/quantizers steer usage) 4) Transparency is slipping /🧵
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Christopher Akiki retweeted
Our new paper Economies of Open Intelligence is out and covered by @Melissahei in the @FinancialTimes. It offers the clearest picture yet of how global power is shifting inside the open AI ecosystem, and what it means for the open-source community.
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Christopher Akiki retweeted
Really sad to see that @coursera has quietly removed the ability to audit courses. You now have to pay to access course material beyond the first module. I wonder how many instructors are aware of this.
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a_new_new_kind_of_science_final(1).docx
Working on what seems like an important idea in the foundations of biology ... but along the way ran across these curious creatures:
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Three different ways to represent colo(u)r. Work in progress, inspired by an old @poetengineer__ post.
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