@sakanaai.bsky.social
Sakana AI is an AI R&D company based in Tokyo, Japan. 🗼🧠
https://sakana.ai/careers
https://sakana.ai/careers
GPT-5 on Sudoku-Bench 🧩
GPT-5 now leads our Sudoku-Bench leaderboard with 33% solve rate, ~2x the previous best, and is the first LLM to solve a 9x9 modern Sudoku.
Still, 67% of puzzles remain unsolved.
Read more about our update here:
🔗 Blogpost → pub.sakana.ai/sudoku-gpt5/
🧵 Thread 👇
GPT-5 now leads our Sudoku-Bench leaderboard with 33% solve rate, ~2x the previous best, and is the first LLM to solve a 9x9 modern Sudoku.
Still, 67% of puzzles remain unsolved.
Read more about our update here:
🔗 Blogpost → pub.sakana.ai/sudoku-gpt5/
🧵 Thread 👇
November 11, 2025 at 8:04 AM
GPT-5 on Sudoku-Bench 🧩
GPT-5 now leads our Sudoku-Bench leaderboard with 33% solve rate, ~2x the previous best, and is the first LLM to solve a 9x9 modern Sudoku.
Still, 67% of puzzles remain unsolved.
Read more about our update here:
🔗 Blogpost → pub.sakana.ai/sudoku-gpt5/
🧵 Thread 👇
GPT-5 now leads our Sudoku-Bench leaderboard with 33% solve rate, ~2x the previous best, and is the first LLM to solve a 9x9 modern Sudoku.
Still, 67% of puzzles remain unsolved.
Read more about our update here:
🔗 Blogpost → pub.sakana.ai/sudoku-gpt5/
🧵 Thread 👇
Introducing Petri Dish Neural Cellular Automata (PD-NCA)
pub.sakana.ai/pdnca/
In this work we explore the role of continual adaptation in artificial life, where the cellular automata in our system do not rely on a fixed set of parameters, but rather learn continuously during the simulation itself.
pub.sakana.ai/pdnca/
In this work we explore the role of continual adaptation in artificial life, where the cellular automata in our system do not rely on a fixed set of parameters, but rather learn continuously during the simulation itself.
November 5, 2025 at 12:26 AM
Introducing Petri Dish Neural Cellular Automata (PD-NCA)
pub.sakana.ai/pdnca/
In this work we explore the role of continual adaptation in artificial life, where the cellular automata in our system do not rely on a fixed set of parameters, but rather learn continuously during the simulation itself.
pub.sakana.ai/pdnca/
In this work we explore the role of continual adaptation in artificial life, where the cellular automata in our system do not rely on a fixed set of parameters, but rather learn continuously during the simulation itself.
We’re excited to introduce ShinkaEvolve: An open-source framework that evolves programs for scientific discovery with unprecedented sample-efficiency. It leverages LLMs to find state-of-the-art solutions, orders of magnitude faster!
Blog: sakana.ai/shinka-evolve/
Paper: arxiv.org/abs/2509.19349
Blog: sakana.ai/shinka-evolve/
Paper: arxiv.org/abs/2509.19349
September 25, 2025 at 5:56 AM
We’re excited to introduce ShinkaEvolve: An open-source framework that evolves programs for scientific discovery with unprecedented sample-efficiency. It leverages LLMs to find state-of-the-art solutions, orders of magnitude faster!
Blog: sakana.ai/shinka-evolve/
Paper: arxiv.org/abs/2509.19349
Blog: sakana.ai/shinka-evolve/
Paper: arxiv.org/abs/2509.19349