I am looking for a Principal Platform Engineer to join us in Tokyo and build the core data infrastructure for Japan’s most critical systems. Read the full mission and apply here: https://
sakana.ai/careers/#princ
ipal-platform-engineer
…
@hardmaru
-
Principal Platform Engineer Role for Data Infrastructure in Tokyo
By
–
-
String Seed of Thought: Prompting LLMs for Diverse Distribution-Faithful Generation
By
–
String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation https://
arxiv.org/abs/2510.21150 https://
pub.sakana.ai/ssot/ -
Simple Prompting Trick Improves LLM Randomness and Output Diversity
By
–
Getting LLMs to simulate “true” randomness or generate diverse outputs is surprisingly difficult. We found a simple prompting trick that solves this by having the model generate and manipulate a random string. To be presented at #ICLR2026 this week!
— hardmaru (@hardmaru) 20 avril 2026
Blog: https://t.co/CyevqqJ5ej https://t.co/dN0yZZ5MijGetting LLMs to simulate “true” randomness or generate diverse outputs is surprisingly difficult. We found a simple prompting trick that solves this by having the model generate and manipulate a random string. To be presented at #ICLR2026 this week! Blog: https://
pub.sakana.ai/ssot -
EDINET-Bench: Evaluating LLMs on Japanese Financial Statement Tasks
By
–
EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements https://
arxiv.org/abs/2506.08762 https://
sakana.ai/edinet-bench/ -
EDINET-Bench Japanese Financial Dataset Recognized at ICLR 2026
By
–
I am very proud of our team for releasing EDINET-Bench, and it is fantastic to see a Japanese financial dataset recognized at #ICLR2026 this week. We need more diverse, non-English datasets to evaluate models in the real world. https://
openreview.net/forum?id=Dxns0
cj15A
… -
Neural Network Cells Compete in Digital Petri Dish Browser
By
–
Make neural network cells inside a “Digital Petri Dish” fight for control and dominance in a web browser tab.https://t.co/t8N6CIhvze https://t.co/nPdtvRL473 pic.twitter.com/A5SSTvPJBu
— hardmaru (@hardmaru) 19 avril 2026Make neural network cells inside a “Digital Petri Dish” fight for control and dominance in a web browser tab. https://
pub.sakana.ai/digital-ecosys
tem/
… -
Software Engineer Research Development Role Opportunity
By
–
Software Engineer (Research and Development)
-
Sakana AI Hiring Software Engineers in Tokyo for R&D
By
–
We are hiring Software Engineers in Tokyo to help us scale Sakana AI’s R&D. If you’re interested in building the data pipelines and full stack infrastructure needed to push the boundaries of automated scientific discovery, we’d love to hear from you. https://
sakana.ai/careers/#softw
are-engineer-research-and-development
… -
Can Code Symbol Systems Emerge Inside Single Neural Networks
By
–
Can Code/Symbol Systems Emerge Inside a Single Neural Network?
-
AI Scientist Paper Published in Nature, Interview with Yutaro Yamada
By
–
An interview article with Yutaro Yamada of Sakana AI, one of the lead authors of the AI Scientist paper recently published in @Nature magazine, has been published in Nikkei Digital Governance. nikkei.com/prime/digital-gov… In this article, Mr. Yamada provides a comprehensive explanation of the current state of AI-driven scientific research, covering both the achievements of AI Scientist and its challenges. As mentioned in the article, one of the important findings from this research is that we experimentally demonstrated that the quality of generated papers can improve as the performance of the underlying AI model improves. "Being published in a top-tier scientific journal means that Sakana AI's paper-creation system has been recognized as having 'passed' the scientific version of the Turing test." The article also accurately addresses the current limitations of AI Scientist. What matters to us is not just what today's models can do. The Nature paper's achievement is that we quantitatively tracked the relationship between model performance and research quality, thereby revealing what could be called "scaling laws for scientific research." We believe this provides valuable insights for broader discussions about the future of science. "In the paper published in Nature this time, we demonstrated that if the performance of the AI model underlying the system improves, there is potential to enhance the quality of generated papers, and future developments are expected. Yamada of Sakana AI states: 'I want to improve the quality of automated research and help human researchers achieve surprising results.'" The article also mentions that AI-generated papers are watermarked and that the experiments were conducted under the approval of ethics committees and academic societies. In an era when AI is significantly transforming the nature of science, Sakana AI will continue to explore the possibilities of AI in science through ongoing dialogue with the scientific community. Blog: sakana.ai/ai-scientist-natur… [Translated from EN to English]