@christopheri
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data and research at @lichess
Leipzig, Germany
Joined July 2009
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Christopher Akiki retweeted
ChessLFM went full circle and is now on the home page of @lichess
Super cool to see, Lichess is where I collected all the seed data. Based on my limited chess skills, I never thought I'd have an article there.
t-SNE on SigLIP embeddings of 1,360 @OReillyMedia cover animals. The penguin cluster is my favorite.
O'Reilly animals sorted by orientation using PCA.
Image quilt of all @OReillyMedia book covers sorted by color.
Image quilt of all @OReillyMedia book covers sorted by color.
An image quilt of all @OReillyMedia animals.
An image quilt of all @OReillyMedia animals.
Christopher Akiki retweeted
single 5090 running parametric umap on 8 million points. getting ready to push to 16 million then 150 million 🌌
The McManifold
(2216 burger recipes as 146-dimensional ingredient vectors)
Using burgers as a model system, a generative AI system rediscovers the classic Big Mac without explicit supervision and generates novel burgers optimized for deliciousness, sustainability, or nutrition, according to a paper in npj Science of Food. go.nature.com/3SU7JDQ
work in progress: 1 million synthetic personas from @NVIDIAAI's Nemotron-Personas-USA dataset.
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)
What's everyone using for their CPU-intensive data workflows? Modal? Lambda? Hetzner? Something else?
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…
Christopher Akiki retweeted
here they are: huggingface.co/Lichess
Sad story in two acts.
ALT Git diff view. Before: # Google Summer of Code 2026 Welcome to M-Lab's Google Summer of Code page! We're excited to have you here and look forward to working with talented contributors from around the world. After: # Google Summer of Code 2026 Measurement Lab had to drop out of GSoC. The motivation for this decision is that, due to the massive usage of AI, we have seen a large volume of similar and incremental contributions that our team cannot handle.
UMAP connectivity plots of 3,627 chess openings from the @lichess datasets (hf.co/datasets/Lichess/chess…)