data and research at @lichess
Leipzig, Germany
Joined July 2009
- Tweets1.7K
- Following213
- Followers5.2K
- Likes36.4K
Christopher Akiki retweeted
🚨 [Token][ization] Paper Alert 🚨
Tokenization is a wildly understudied area of language modeling despite it having effects across all of NLP. Over the past ~8 months, 32 (!) tokenizer researchers put together the most comprehensive survey of the field. Check it out!
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.
Christopher Akiki retweeted
single 5090 running parametric umap on 8 million points. getting ready to push to 16 million then 150 million 🌌
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
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…
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
/🧵
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.
Christopher Akiki retweeted
🫶🌸
Our design for Jean Zay’s new covering translates the gradient descent, the mathematical heart of how AI learns, into color and form.
We actually studied the landscape loss of the BLOOM model from @BigscienceW, which was trained on Jean Zay, to create the artwork.
Christopher Akiki retweeted
📢Introducing Kaggle Game Arena: a new, open benchmark platform where top AI models compete in complex, strategic games in streamed match-ups. We're charting new frontiers for trustworthy AI evaluation and it begins with chess — a classic proving ground for system intelligence.
Christopher Akiki retweeted
A community member trained a tiny Llama model (23M parameters) on 3 million high-quality @lichess games, then deployed it to run entirely in-browser with 🤗 Transformers.js! Super cool! 🔥
It has an estimated ELO of ~1400... can you beat it? 👀
(runs on both mobile and desktop)
Christopher Akiki retweeted
.@kaggle is officially at #ICML2025!
We're giving researchers a preview of our new Benchmarks platform for creating, running, and sharing custom GenAI model evals.
If you're here, come check it out and contribute to our crowdsourced ICML 2025 AI Experts' Benchmark (and yes, of course you will get both a citation credit and a shiny Kaggle badge!).
We'll reveal the results on Wednesday @ 3PM PT!
ALT screenshot of a SxS model comparison on a towers of hanoi task
ALT Someone doing the demo at the kaggle booth at ICML
ALT Someone doing the demo at the kaggle booth at ICML
ALT the Kaggle booth at ICML
Christopher Akiki retweeted
Explore Wikipedia through a data map. Pages are grouped by semantic similarity, for topic clusters.
Hover to see details, zoom to explore fine-grained topics, click to go to a page. Search page names to find interesting starting points for exploration.🧵
lmcinnes.github.io/datamappl…
Christopher Akiki retweeted
The @NeurIPSConf 2025 Datasets & Benchmarks track CFP is open! Good datasets are essential to progress in AI so I'm thrilled to be a co-chair this year and with my fellow colleagues share some improvements to the submission and review process that raise the bar for standards of data access and metadata.
Thank you to Harvard Dataverse, @huggingface, @kaggle, OpenML, @MLCommons & Croissant for being partners in supporting these standards.
ALT Blog post screenshot NeurIPS Datasets & Benchmarks: Raising the Bar for Dataset Submissions Communications Chairs 2025 2025 Conference Authors: DB Track chairs: Lora Aroyo, Francesco Locatello, Konstantina Palla, DB Track resource and metadata chairs: Meg Risdal, Joaquin Vanschoren
RT @MeganRisdal: ✨ Now on a @kaggle dataset near you! ✨
Our new Data Loader UI where you can quickly copy code to load in pandas DataFram…
Christopher Akiki retweeted
Welcome @lichess datasets to Kaggle! ♟️
Lichess is now on @kaggle!
Use our puzzles, openings, and engine evaluation datasets directly in your kaggle notebooks: kaggle.com/organizations/lic… ♟️
ALT Screenshot of Lichess organization overview page on Kaggle
Christopher Akiki retweeted
Lichess is now on @kaggle!
Use our puzzles, openings, and engine evaluation datasets directly in your kaggle notebooks: kaggle.com/organizations/lic… ♟️
ALT Screenshot of Lichess organization overview page on Kaggle
Christopher Akiki retweeted
The AI agent course keeps breaking records! Now breaking discord registration system
You can still join at bit.ly/hf-learn-agents
(let’s test discord infrastructure hahah)
Christopher Akiki retweeted
Our review of 2024: lichess.org/@/Lichess/blog/l…
Let’s look back at everything we’ve achieved in 2024, and some sneak previews of what might happen in 2025! What was your highlight?
ALT "Lichess Update" thumbnail with fireworks in the background