hardmaru
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hardmaru.bsky.social
hardmaru
@hardmaru.bsky.social
3.9K followers 500 following 130 posts
I work at Sakana AI 🐟🐠🐡 → @sakanaai.bsky.social

https://sakana.ai/careers
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Reposted by hardmaru
sakanaai.bsky.social
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 👇
November 11, 2025 at 8:04 AM
Reposted by hardmaru
sakanaai.bsky.social
We're pleased to announce that Sakana AI is co-hosting the “AI for Science: Algorithms to Atoms” social event and panel discussion during #NeurIPS2025 with Yann LeCun, Bill Dally, Anima Anandkumar, and Max Welling!

If you'll be at NeurIPS San Diego, here’s the link to join: luma.com/AI-for-Scien...
hardmaru.bsky.social hardmaru @hardmaru.bsky.social · 1d
I’m co-organizing an “AI for Science: Algorithms to Atoms” social event during #NeurIPS2025 with Yann LeCun, Anima Anandkumar, Bill Dally, and Max Welling. If you want to talk about AI Scientist, World Models, the future of AI-driven discovery, come by on Dec 5 3:30pm PT!

luma.com/AI-for-Scien...
November 24, 2025 at 2:02 AM
hardmaru.bsky.social
I’m co-organizing an “AI for Science: Algorithms to Atoms” social event during #NeurIPS2025 with Yann LeCun, Anima Anandkumar, Bill Dally, and Max Welling. If you want to talk about AI Scientist, World Models, the future of AI-driven discovery, come by on Dec 5 3:30pm PT!

luma.com/AI-for-Scien...
November 24, 2025 at 1:52 AM
hardmaru.bsky.social
“In my view, AI is ultimately going to be a normal technology. In 20 years, our kids will just be using a chat bot like it’s a fax machine. It won’t be magical anymore. This will just be integrated and adapted into our collective system.”

Gave my 2c at #BloombergNewEconomy Forum
November 21, 2025 at 5:38 AM
hardmaru.bsky.social
Just realized I knew all about hedging ‘AI risks’ >15 years ago 😅
https://www.bloomberg.com/news/articles/2025-11-20/a-hedge-against-ai-crash-emerges-as-oracle-cds-market-explodes
November 21, 2025 at 1:59 AM
hardmaru.bsky.social
Excited to announce our book “Neuroevolution: Harnessing Creativity in AI Agent Design” by Sebastian Risi, Yujin Tang, Risto Miikkulainen, and myself. We explore decades of work on evolving intelligent agents and shows how neuroevolution can drive creativity in deep learning, RL, LLMs and AI Agents!
November 20, 2025 at 7:22 AM
hardmaru.bsky.social
Excited to announce Sakana AI’s Series B! 🐟
sakana.ai/series-b

From day one, Sakana AI has done things differently. Our research has always focused on developing efficient AI technology sustainably, driven by the belief that resource constraints—not limitless compute—are key to true innovation.
At present, we are seeing a record amount of capital pouring into AI compute at a rate which may not be sustainable, funding AI businesses without a clear path to profitability, and consuming unprecedented levels of energy, to develop AI models under the assumption of near limitless resources. But is this really the future that we want to build? As an AI R&D company in Tokyo, we also question whether this is the right approach for Japan, a nation with limited resources, to build its Sovereign AI. We believe that intelligent life has arisen not from an abundance of resources but rather from the lack of it. Nature ultimately selects systems that are able to do more with less. It is debatable whether such constraints are a requirement for intelligence to emerge, but it is undeniable that our own intelligence is a result of resource constraints. Sakana AI has always done things differently. Since the beginning, our research has focused on developing efficient AI technology sustainably. For instance, rather than reinventing the wheel by training yet another large foundation model from scratch, we instead pioneered ways of using evolution to combine existing open-source models, using tree search to combine closed models, getting models to self-improve, to push the frontier of AI capabilities. Last year, we also pioneered the use of LLM agents to automate AI science, enabling more efficient algorithms to be discovered by AI itself. We developed energy efficient language models that work on edge devices, and we are also working on entirely new AI architectures which may carry us into a vastly more efficient AI paradigm. We also created our business model with sustainability and profitability in mind. This year, we built a healthy and growing enterprise AI business, where we have partnered with some of the largest enterprises in Japan to deploy AI-enabled business applications that can truly bring return on investment to our clients with our technology.
November 17, 2025 at 12:03 AM
Reposted by hardmaru
sakanaai.bsky.social
Announcing our Series B 🐟

sakana.ai/series-b
November 16, 2025 at 11:59 PM
hardmaru.bsky.social
Great to see Tarin Clanuwat featured for her amazing work. She has a deep love for Japanese classical literature and is using AI to build bridges to that past for everyone.

www.tokyoupdates.metro.tokyo.lg.jp/post-1670/

We’re lucky to have her driving this at Sakana AI.
November 14, 2025 at 3:55 AM
hardmaru.bsky.social
To me, the field of A.I. is a branch of Philosophy, not Science. I would even call it “Applied Philosophy”.
November 8, 2025 at 9:56 AM
hardmaru.bsky.social
The US government should subsidize Open AI rather than OpenAI
November 7, 2025 at 6:43 AM
hardmaru.bsky.social
Excited to release our new work: Petri Dish Neural Cellular Automata!

pub.sakana.ai/pdnca

We investigate how multi-agent NCAs can develop into artificial life 🦠 exhibiting complex, emergent behaviors like cyclic dynamics, territorial defense, and spontaneous cooperation.
sakanaai.bsky.social sakanaai.bsky.social @sakanaai.bsky.social · 21d
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.
November 5, 2025 at 12:47 AM
hardmaru.bsky.social
Proud to release ShinkaEvolve, our open-source framework that evolves programs for scientific discovery with very good sample-efficiency! 🐙🧠

Paper: arxiv.org/abs/2509.19349
Blog: sakana.ai/shinka-evolve/
GitHub Project: github.com/SakanaAI/Shi...
September 25, 2025 at 6:01 AM
hardmaru.bsky.social
Just received my copy of “What Is Intelligence?” by @blaiseaguera.bsky.social 🧠🪱

Thanks for sending it to Japan! 🗼

whatisintelligence.antikythera.org
September 11, 2025 at 5:49 AM
Reposted by hardmaru
zeynepakata.bsky.social
Due to physical resource constraints, we currently estimate that around 300–400 of the candidate papers recommended for acceptance by the ACs will need to be rejected. We seek the support of our 41 SACs in addressing this distributed optimization problem in a fair and professional manner.
August 28, 2025 at 4:12 PM
Reposted by hardmaru
zeynepakata.bsky.social
NeurIPS has decided to do what ICLR did: As a SAC I received the message 👇 This is wrong! If the review process cannot handle so many papers, the conference needs yo split instead of arbitrarily rejecting 400 papers.
August 28, 2025 at 4:12 PM
Reposted by hardmaru
sakanaai.bsky.social
How Sakana AI’s new evolutionary algorithm builds powerful AI models without expensive retraining
venturebeat.com/ai/how-sakan...
How Sakana AI’s new evolutionary algorithm builds powerful AI models without expensive retraining
M2N2 is a model merging technique that creates powerful multi-skilled agents without the high cost and data needs of retraining.
venturebeat.com
August 30, 2025 at 3:00 AM
Reposted by hardmaru
sakanaai.bsky.social
We are honored that Sakana AI’s CEO David Ha (@hardmaru.bsky.social) has been named to the TIME 100 AI 2025 list. Full List: time.com/time100ai

We’re truly grateful for the recognition and will continue our mission to build a frontier AI company in Japan.

Thank you for your support!
August 29, 2025 at 1:21 PM
hardmaru.bsky.social
Why Greatness Cannot Be Planned

Both the English and Japanese editions now found a home in the Sakana AI library ✨ @sakanaai.bsky.social
Why Greatness Cannot Be Planned book covers, for both Japanese and English editions, as well as a Sakana AI bookmark.
August 26, 2025 at 8:58 AM
hardmaru.bsky.social
Our new GECCO’25 paper builds on our past work, showing how AI models can be evolved like organisms. By letting models evolve their own merging boundaries, compete to specialize, and find ‘attractive’ partners to merge with, we can create adaptive and robust AI ecosystems.

arxiv.org/abs/2508.16204
sakanaai.bsky.social sakanaai.bsky.social @sakanaai.bsky.social · Aug 25
What if we could evolve AI models like organisms, letting them compete, mate, and combine their strengths to produce ever-fitter offspring?

Excited to share our new paper, “Competition and Attraction Improve Model Fusion” presented at GECCO 2025 (runner-up for best paper)!

arxiv.org/abs/2508.16204
Competition and Attraction Improve Model Fusion Model merging is a powerful technique for integrating the specialized knowledge of multiple machine learning models into a single model. However, existing methods require manually partitioning model parameters into fixed groups for merging, which restricts the exploration of potential combinations and limits performance. To overcome these limitations, we propose M2N2, an evolutionary algorithm with three key features: 1/ dynamic adjustment of merging boundaries to progressively explore a broader range of parameter combinations; 2/ a diversity preservation mechanism inspired by the competition for resources in nature, to maintain a population of diverse, high-performing models that are particularly well-suited for merging; and 3/ a heuristic-based attraction metric to identify the most promising pairs of models for fusion. Our experimental results demonstrate, for the first time, that model merging can be used to evolve models entirely from scratch. Specifically, we apply M2N2 to evolve MNIST classifiers from scratch and achieve performance comparable to CMA-ES, while being computationally more efficient. Furthermore, M2N2 scales to merge specialized language and image generation models, achieving state-of-the-art performance. Notably, it preserves crucial model capabilities beyond those explicitly optimized by the fitness function, highlighting its robustness and versatility.
August 25, 2025 at 2:53 AM
Reposted by hardmaru
sakanaai.bsky.social
What if we could evolve AI models like organisms, letting them compete, mate, and combine their strengths to produce ever-fitter offspring?

Excited to share our new paper, “Competition and Attraction Improve Model Fusion” presented at GECCO 2025 (runner-up for best paper)!

arxiv.org/abs/2508.16204
Competition and Attraction Improve Model Fusion Model merging is a powerful technique for integrating the specialized knowledge of multiple machine learning models into a single model. However, existing methods require manually partitioning model parameters into fixed groups for merging, which restricts the exploration of potential combinations and limits performance. To overcome these limitations, we propose M2N2, an evolutionary algorithm with three key features: 1/ dynamic adjustment of merging boundaries to progressively explore a broader range of parameter combinations; 2/ a diversity preservation mechanism inspired by the competition for resources in nature, to maintain a population of diverse, high-performing models that are particularly well-suited for merging; and 3/ a heuristic-based attraction metric to identify the most promising pairs of models for fusion. Our experimental results demonstrate, for the first time, that model merging can be used to evolve models entirely from scratch. Specifically, we apply M2N2 to evolve MNIST classifiers from scratch and achieve performance comparable to CMA-ES, while being computationally more efficient. Furthermore, M2N2 scales to merge specialized language and image generation models, achieving state-of-the-art performance. Notably, it preserves crucial model capabilities beyond those explicitly optimized by the fitness function, highlighting its robustness and versatility.
August 25, 2025 at 2:48 AM
Reposted by hardmaru
sakanaai.bsky.social
Sakana AI が募集しているSoftware Engineerの募集要項（Job Description）をアップデートしました。

sakana.ai/careers/#sof...

Sakana AIにおけるSoftware Engineerは、Applied Teamの一員としてビジネスのインパクトにつながるプロダクト開発を行っています。Frontend、Backend、Infrastructure構築の全体にわたって、AI技術を組み込んだアプリケーションの設計・開発に挑戦いただける方のご応募をお待ちしております！
August 22, 2025 at 5:10 AM
hardmaru.bsky.social
1910: The Year the Modern World Lost Its Mind

Good piece comparing the anxieties of the early 1900s, an era of great and rapid technological change, to the present time.
www.derekthompson.org/p/1910-the-y...
1910: The Year the Modern World Lost Its Mind
What one of my favorite history books about my favorite historical period—turn-of-the-century American—tells us about technology, anxiety, and human nature
www.derekthompson.org
August 15, 2025 at 7:59 AM
Reposted by hardmaru
sakanaai.bsky.social
８/７に、Sakana AIは初となるApplied Research Engineer向けのOpen Houseを開催しました。現地で70名、オンラインで200名超の方にご参加いただいた本イベントのレポートを公開します。

sakana.ai/open-house-2...

イベントでは共同創業者2名も登壇し、研究開発とビジネスの両輪をどう回し、日本や世界の産業・コミュニティにどう貢献していくかを語りました。また、現場で活躍するAppliedチームのメンバーが、チームの特徴や働き方、AIエージェント開発の実態、Researchチームとの連携などについて紹介しました。
August 14, 2025 at 12:46 AM
Reposted by hardmaru
sakanaai.bsky.social
Coverage of Darwin Gödel Machine and The AI Scientist in MIT Technology Review article. @technologyreview.com
www.technologyreview.com/2025/08/06/1...
Five ways that AI is learning to improve itself
From coding to hardware, LLMs are speeding up research progress in artificial intelligence. It could be the most important trend in AI today.
www.technologyreview.com
August 9, 2025 at 2:37 AM