Really proud to be published in a Nature Portfolio journal for the first time! We set a new SOTA for single-cell protein localisation on the Human Protein Atlas, building on our work in the 2nd HPA Kaggle comp. nature.com/articles/s4200… ForecomAI CVSSP Research Dmitry Minskiy

I've recently been playing with François Chollet's Abstraction and Reasoning Corpus, a really interesting benchmark for building systems that can reason. As part of that, I've just released a small 🐍 library for easily interacting with and visualising ARC: github.com/mxbi/arckit

I'm going to be in San Francisco in early November! ✈️ If anyone's in the bay area and wants to meet up, or if anyone knows any events I should check out, let me know! 😊

I'll be speaking at @NVIDIA's AI & DS Virtual Summit about the journey to becoming the youngest Kaggle Grandmaster, along with Rob and Dieter. 🔥 Come and join us for a live Q&A on Wednesday 9th at 12pm PT (for free!) nvidia.com/en-us/events/a… NVIDIA AI

I'm heading back to San Francisco for GDC Festival of Gaming 🎮 - if anyone's around the bay area late March and wants to meet up let me know!

Really great to meet and catch up with Mikel Bober-Irizar in person after many years! 😄

more evidence (including experiments varying sizes of problems) that grid size alone plays a significant role in arc. this is obviously far from ideal for a reasoning benchmark and can hopefully get addressed in arc-agi-2

I recommend reading Mikel Bober-Irizar 's article on o3's performance on the ARC challenge. He proves that LLMs' struggle with ARC depend on their inability to easily process large 2d grids.

Seeing this chart go around a bunch, I think the main point is being missed - “LLMs can’t solve large grids because of perception” This is a deficiency in the model, there are alternative ways to “perceive” the grid. Doing it in 1-shot is not required. As a human, do you hold

Really good to be back in SF for GDC (yes, our game is still cooking 👀) If you're around and want to meet up next week, let me know!