AI Dynamics

Global AI News Aggregator

@sakanaailabs

  • Regarding the Naming of the Namazu LLM Series with Developer Cooperation

    【Regarding the naming of the new LLM series "Namazu"】 Regarding the naming of the new LLM series "Namazu" installed in Sakana Chat (chat.sakana.ai) which we recently released, we have received valuable feedback from many users who recalled the full-text search system "Namazu" which was widely appreciated from the 1990s to the 2000s. The full-text search system Namazu is a system that laid the foundation for Japanese full-text search. When naming Namazu, Sakana AI conducted legal verification regarding trademarks and other intellectual property rights. However, we recognize that our research into the historical background of this field was insufficient. Following this feedback, we contacted Takabayashi-san, the creator of the full-text search system Namazu, to explain the circumstances and consult regarding the naming. Not only did Takabayashi-san graciously permit us to use the name, but he also offered us words of encouragement stating that he "anticipates the development of Namazu" (only the general intent is shared here due to the private nature of the communication). We will continue our development efforts to ensure that this name lives up to the legacy built by this great predecessor. [Translated from EN to English]

    → View original post on X — @sakanaailabs, 2026-03-30 08:19 UTC

  • Towards end-to-end automation of AI research

    Towards end-to-end automation of AI research
    https://www.nature.com/articles/s41586-026-10265-5 [Translated from EN to English]

    → View original post on X — @sakanaailabs, 2026-03-29 16:35 UTC

  • Building Autonomous Research Systems: Nature Paper and AI Scientist Code Released
    Building Autonomous Research Systems: Nature Paper and AI Scientist Code Released

    Building a system that autonomously executes a series of research processes has been a continuous challenge involving numerous trials and errors for our team. Our Nature paper is now available as open access, and those interested in technical details can view the PDF directly via the link below. nature.com/articles/s41586-026-10265-5.pdf Wishing for further development in this field, we are also releasing the implementation code for both versions of the AI Scientist. We hope this will be useful for your community endeavors. V1: github.com/SakanaAI/AI-Scientist
    V2: github.com/SakanaAI/AI-Scientist-v2 [Translated from EN to English]

    → View original post on X — @sakanaailabs, 2026-03-29 09:47 UTC

  • The AI Scientist Published in Nature: Fully Automated Research

    The AI Scientist: Towards Fully Automated AI Research, Now Published in Nature Nature: nature.com/articles/s41586-0… Blog: sakana.ai/ai-scientist-natur… When we first introduced The AI Scientist, we shared an ambitious vision of an agent powered by foundation models capable of executing the entire machine learning research lifecycle. From inventing ideas and writing code to executing experiments and drafting the manuscript, the system demonstrated that end-to-end automation of the scientific process is possible. Soon after, we shared a historic update: the improved AI Scientist-v2 produced the first fully AI-generated paper to pass a rigorous human peer-review process. Today, we are happy to announce that “The AI Scientist: Towards Fully Automated AI Research,” our paper describing all of this work, along with fresh new insights, has been published in @Nature! This Nature publication consolidates these milestones and details the underlying foundation model orchestration. It also introduces our Automated Reviewer, which matches human review judgments and actually exceeds standard inter-human agreement. Crucially, by using this reviewer to grade papers generated by different foundation models, we discovered a clear scaling law of science. As the underlying foundation models improve, the quality of the generated scientific papers increases correspondingly. This implies that as compute costs decrease and model capabilities continue to exponentially increase, future versions of The AI Scientist will be substantially more capable. Building upon our previous open-source releases (github.com/SakanaAI/AI-Scien…), this open-access Nature publication comprehensively details our system's architecture, outlines several new scaling results, and discusses the promise and challenges of AI-generated science. This substantial milestone is the result of a close and fruitful collaboration between researchers at Sakana AI, the University of British Columbia (UBC) and the Vector Institute, and the University of Oxford. Congrats to the team! @_chris_lu_ @cong_ml @RobertTLange @_yutaroyamada @shengranhu @j_foerst @hardmaru @jeffclune

    → View original post on X — @sakanaailabs, 2026-03-25 16:21 UTC

  • TAID Knowledge Distillation Method Wins ICLR2025 Spotlight Award

    我々の新しい知識蒸留の手法「TAID」の論文が #ICLR2025 でSpotlight (Top 5%)を受賞しました。

    → View original post on X — @sakanaailabs,

  • TAID: Efficient Knowledge Transfer in Language Models

    “TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models” has been accepted at #ICLR2025 as a Spotlight Paper Blog post (English): https://
    sakana.ai/taid/
    Paper (OpenReview): https://
    openreview.net/forum?id=cqsw2
    8DuMW
    … A key problem with the

    → View original post on X — @sakanaailabs,

  • Sakana AI joins public interest AI partnership at Paris summit

    Sakana AIは、パリのAIアクションサミットで発表された、公益目的のAIを促進する新たなパートナーシップの支援メンバーとなりました。オープンソースをベースとした開発をこれからも進めてまいります。 #AIActionSummit https://
    currentai.org/latest-updates
    /launchpressrelease

    → View original post on X — @sakanaailabs,

  • Sakana AI Hiring: Join Us to Shape AI Future Japan

    日本でのAIの未来を、Sakana AIと一緒に切り拓いてくださる方を募集しています。当社の募集要項をご覧ください。 https://
    sakana.ai/careers

    → View original post on X — @sakanaailabs,

  • Japanese Insurers Invest in Sakana AI Agent Technology

    日本生命と明治安田がSakana AIに投資してくださいました。
    私たちの持つ最先端のエージェントAI技術などを活かし、両社との協業を進めてまいります。

    → View original post on X — @sakanaailabs,

  • Sakana AI COO speaks at AI Action Summit in Paris

    Sakana AIの伊藤錬(COO)がLinkedIn創設者のリード・ホフマン氏らとパリで対談します!日本時間2月10日(月)22時よりLive視聴が可能です。ぜひご覧ください。 https://
    events.project-syndicate.org/event/ai-actio
    n-summit
    … Ren Ito, Sakana AI (COO), will be speaking at #AIActionSummit. Tune in at the link on Feb 10 at 2PM CET.

    → View original post on X — @sakanaailabs,