hardmaru
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hardmaru.bsky.social
hardmaru
@hardmaru.bsky.social
3.9K followers 480 following 110 posts
I work at Sakana AI 🐟🐠🐡 → @sakanaai.bsky.social

https://sakana.ai/careers
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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 · 6d
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
Reposted by hardmaru
sakanaai.bsky.social
【UI/UXデザイナー募集】

Sakana AIでは、当社AI技術の社会実装のフェーズに進むことに伴い、一人目のUI/UXデザイナーを募集します。

詳細： sakana.ai/careers/#uiu...

お任せしたいのはプロダクトのコンセプト設計から、プロトタイプの作成、ユーザーテストまでの全てのプロセス。AIによる価値実現に向け、目下成長するApplied Teamの一員として、Sakana AIのプロダクトづくりに挑んでくださる、意欲ある方のご応募をお待ちしています！
August 4, 2025 at 6:35 AM
hardmaru.bsky.social
Andrew Ng’s piece on 🇺🇸 vs 🇨🇳 competition in AI worth reading:

Full article: www.deeplearning.ai/the-batch/is...
“Because many US companies have taken a secretive approach to developing foundation models—a reasonable business strategy—the leading companies spend huge…to recruit key team members from each other who might know the ‘secret sauce’ that enabled a competitor to develop certain capabilities. So knowledge does circulate, but at high cost and slowly. In contrast, in China’s open AI ecosystem, many advanced foundation model companies undercut each other on pricing and poach each others’ employees and customers. This Darwinian life-or-death struggle will lead to the demise of many of the existing players, but the intense competition breeds strong companies.”
August 1, 2025 at 1:42 AM
Reposted by hardmaru
sakanaai.bsky.social
Kenneth Stanley & Joel Lehmanによる名著『Why Greatness Cannot Be Planned』の日本語版がBNN社より刊行されました！

『目標という幻想：未知なる成果をもたらす、〈オープンエンド〉なアプローチ』

監修：岡瑞起、翻訳：牧尾晴喜、解説：岡瑞起・鈴木健
本書は、科学・技術・芸術・ビジネスなど 、あらゆる領域でブレークスルーを起こすための「目標を定めない」オープンエンドなアプローチを提唱しています。

『WIRED JAPAN』日本版にて、『目標という幻想』日本語版解説が全文公開されました。
wired.jp/article/why-...
偉大なことは計画できない──『目標という幻想』日本語版解説
現在のAI開発にも影響を与えた注目書『目標という幻想──未知なる成果をもたらす、〈オープンエンド〉なアプローチ』から、岡瑞起と鈴木健による解説をお届けする。
wired.jp
July 30, 2025 at 12:29 AM
Reposted by hardmaru
sakanaai.bsky.social
「Sakana AIは学術研究のイメージが強いけど、どうやってそれをビジネスにつなげるの？」最先端AIの社会実装に挑む「Applied Team」インタビュー！
sakana.ai/applied-team...

Sakana AIでは、世界トップレベルの生成AI技術を社会実装するために「Applied Team」を本格始動しています。 Applied Teamについて知っていただくことを目的として、AI研究の社会実装に挑む二人のメンバーのインタビュー記事を公開しました。

「事業専門性とR&Dの強みが社内に揃っているスタートアップの環境は、世界で見ても非常に珍しいのではないかと思います。」
July 29, 2025 at 9:32 AM
hardmaru.bsky.social
ICML’s Statement about subversive hidden LLM prompts

We live in a weird timeline…

icml.cc/Conferences/...
Statement about subversive hidden LLM prompts Submitting a paper with a "hidden" prompt is scientific misconduct if that prompt is intended to obtain a favorable review from an LLM. The inclusion of such a prompt is an attempt to subvert the peer-review process. Although ICML 2025 reviewers are forbidden from using LLMs to produce their reviews of paper submissions, this fact does not excuse the attempted subversion. (For an analogous example, consider that an author who tries to bribe a reviewer for a favorable review is engaging in misconduct even though the reviewer is not supposed to accept bribes.) Note that this use of hidden prompts is distinct from those intended to detect if LLMs are being used by reviewers; the latter is an acceptable use of hidden prompts.
July 23, 2025 at 12:50 PM
hardmaru.bsky.social
Not Even Bronze: Evaluating LLMs on 2025 International Math Olympiad 🥉

matharena.ai/imo/

Nice blog post from the team behind MathArena: Evaluating LLMs on Uncontaminated Math Competitions (arxiv.org/abs/2505.23281) providing independent analysis, debunking some claims about LLM performance on IMO.
July 20, 2025 at 2:35 PM
hardmaru.bsky.social
New Essay by Blaise Agüera (@blaiseaguera.bsky.social): “AI Is Evolving—And Changing Our Understanding Of Intelligence”. Advances in AI are making us reconsider what intelligence is and giving us clues to unlocking AI’s full potential.
www.noemamag.com/ai-is-evolvi...
AI Is Evolving — And Changing Our Understanding Of Intelligence | NOEMA
Advances in AI are making us reconsider what intelligence is and giving us clues to unlocking AI’s full potential.
www.noemamag.com
July 20, 2025 at 9:08 AM
Reposted by hardmaru
sakanaai.bsky.social
【Sakana AIエンジニアの著書刊行🎉】

Sakana AIのApplied Research Engineer、太田真人が共著者を務める『現場で活用するための AIエージェント実践入門』（講談社）が刊行されました。進歩を続けるAIエージェント技術を実践に繋げるための知見が満載ですので、ぜひご覧ください！

Amazon: www.amazon.co.jp/dp/4065401402/

8/7開催のApplied Engineer Open Houseには太田も登壇します。ご参加お待ちしています！

Event: connpass.com/event/362760/
July 18, 2025 at 8:27 AM
Reposted by hardmaru
sakanaai.bsky.social
8月7日18時からSakana AI初のApplied Engineer Open Houseを開催します！

Sakana AIのApplied Teamのメンバーが業務についてやSakana AIで働く魅力についてお話しします。会場参加（抽選）または、オンライン参加が可能です。

connpass.com/event/362760/

Connpassからの参加登録をお待ちしております！
July 17, 2025 at 6:27 AM