Ai Fujiki

Head of Corp Dev @SakanaAILabs🐠/ Ex-M&A Banker @GoldmanSachs👩‍💻 (Tokyo & SF) / Loves 🎹📕🐶🧘‍♀️🍷🥂🎬🎤🪩👠✈️

[⿻ Audrey Tang 唐鳳 @audreyt]

Tried & liked it on https://t.co/7gOqjtmSJ3.

Fugu Ultra pairs well as a advisor & planner with Composer 2.5.

For scope/architecture, it’s on par with Fable orchestration.

Advisor doesn’t slow the loop if the driver stays fast & https://t.co/9cL4HqvqSf can split it from worker.

[Sakana AI @SakanaAILabs]

Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API.

Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls.

Try it: https://t.co/hhO6qTawgb 🐡

[深津 貴之 / THE GUILD, note @fladdict]

fableが止まって、必要性が上がった

[NLPコロキウム @nlp_colloquium]

🚀 #NLPコロキウム の開催案内
講演者：山田祐太朗さん @_yutaroyamada (@SakanaAILabs)
日時：6/3 (水) 12:00– JST

Nature誌に掲載された「The AI Scientist」の知見を足がかりに、科学における自律的なAIの今後について広く概観いただきます🤖https://t.co/RH14TMDUib

[Takuya Akiba @iwiwi]

イーロン・マスクも興味を持つDiffusionBlocks (ICLR'26)
https://t.co/427dqOT5Fp https://t.co/0qhjlFJnxh

[NVIDIA AI @NVIDIAAI]

Great collab with @SakanaAILabs on an #ICML26 paper about sparse transformer kernels + formats optimized for modern NVIDIA GPU execution.

• TwELL sparse packing
• Fused CUDA kernels
• 20%+ inference/training speedups at scale

Paper + code below 👇

[Sakana AI @SakanaAILabs]

We’re launching the beta for our new commercial AI product: Sakana Fugu 🐡, a multi-agent orchestration system!

Blog: https://t.co/36Ud311KCP

Fugu hits SOTA on SWE-Pro, GPQA-D, and ALE-Bench, and has been our internal secret weapon. It dynamically coordinates frontier models, autonomously selecting the optimal agent combinations and roles for each task.

Available as an OpenAI-compatible API, you can seamlessly integrate Fugu into your existing workflows with minimal changes.

🐟 Fugu Mini: High-speed orchestration optimized for latency
🐡 Fugu Ultra: Full model pool utilization for deep, complex reasoning

Apply for the beta test here: https://t.co/1fjuAha7ci

[Sakana AI @SakanaAILabs]

What happens when you put competing neural networks in a Petri Dish and start changing the rules while they adapt?

Last year we released Petri Dish NCA, where neural nets are the organisms that learn during simulation. Today we're releasing Digital Ecosystems: a browser-based platform for interactive artificial life research.

The setup: several small CNNs share a 2D grid, each seeing only a 3x3 neighborhood. No global plan. They compete for territory by attacking neighbours and defending against incoming attacks, learning via gradient descent online while the simulation runs.

What we didn't expect was the role of the learning itself. Gradient descent isn't just optimising each species' strategy. Instead, it acts to stabilize the whole system during simulation. Species that overextend get pushed back by the loss. Species that stagnate get nudged to grow. This means you can push parameters toward edge-of-chaos regimes: a zone characterised by emergent complexity. Letting the neural networks learn acts to hold the complex system together while you explore and interact.

The platform lets you steer all of this interactively. You can draw walls to create niches, erase parts of the system online, and tune 40+ system parameters to explore the most interesting configurations. We find it mesmerizing to watch species carve out territories and reorganise when you perturb them.

Everything runs client-side in your browser, no install needed.

Blog: https://t.co/qOuelxmd6l
Code: https://t.co/pz7ktDCRZS

[Ai Fujiki @Ms_amour19]

Happy Friday 🙌

[Sakana AI @SakanaAILabs]

Mistral AI 🇫🇷 🤝 Sakana AI 🇯🇵

[Ai Fujiki @Ms_amour19]

Great Friday night to celebrate @_yutaroyamada

[Sakana AI @SakanaAILabs]

🐟Ultra Deep Researchアシスタント「Sakana Marlin」、βテスター募集🐟

Sakana AIは、当社初の商用プロダクトとして、独自のエージェント技術によるビジネス向けAIリサーチアシスタント「Sakana Marlin」を開発しました。

https://t.co/Q8o5SBNBoY

Sakana Marlinは、高度なビジネス調査を完遂する 、独自の長期推論技術に基づく自律型リサーチアシスタントです。

主な特徴
・ テーマを与えると、8時間近くにわたり自律的にリサーチ
・ 詳細な調査ドキュメントとまとめスライドを自動生成
・ 複数人のチームが数週間かけるプロフェッショナルな戦略調査を想定

複雑な社会情勢の中で良質な判断を下すため、AIのポテンシャルを最大限生かすソリューションとして構想しました。

本技術は、先日Nature誌にも掲載された科学的発見の自動化「AIサイエンティスト」の知見と、戦略的探索を可能にする「AB-MCTS」を融合。長く考えた分だけアウトプットの質が向上する「効率的な推論スケーリング」を実現しています。

クローズドβテストを実施します
金融機関・事業会社の経営戦略/事業企画部門、コンサルファーム、シンクタンクなど、日常的に高度なリサーチに取り組む方が対象です（期間中無料）。皆様からのフィードバックをもとに改善を重ねていきます。

▼ クローズドβテスター応募はこちら
https://t.co/fkaCwJceHb

[Ai Fujiki @Ms_amour19]

@wkpeco 藤木

[Max Verstappen @Max33Verstappen]

Time for a break. Arigato 🇯🇵

[Takuya Akiba @iwiwi]

GENIAC通信に取材頂いた記事が公開されました。最近またモデル開発がアツいと思ってる理由とかを話してます。

❌開発をリード
⭕️天才を集めてあとは応援

[Yutaro Yamada @_yutaroyamada]

Still remember the experiment grind over New Year's break--really great to see this out in Nature today!

AI automation of AI research is heating up fast, and I'm excited to see what becomes possible as models keep improving (see the figure below!)

[Ai Fujiki @Ms_amour19]

AI自身がAI研究を自動化する「AIサイエンティスト」がNature本誌に掲載されました！AI研究のフロンティアが切り拓かれるのをこんなに近くで見ることができてワクワク&誇りに思います。

私のような文系人間でもちゃんと理解できる内容だったので、ぜひ元の論文も多くの方に読んでみて欲しいなと思います👩‍🎓📚
https://t.co/ZwJy8E4KJL

[Sakana AI @SakanaAILabs]

The AI Scientist: Towards Fully Automated AI Research, Now Published in Nature

Nature: https://t.co/nNfpSV5e5I
Blog: https://t.co/i6h8LVQOdl

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 (https://t.co/H1tBT14Yx8), 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

[Ai Fujiki @Ms_amour19]

Fintech企業のように投資家側が一律net revenueで評価するのだとは思うけど、SECの判断気になる

[Ethan Choi @EthanChoi7]

The way @OpenAI and @AnthropicAI account for revenue / ARR is apples to oranges.

Should Anthropic treat their revenue from AWS and other hyperscalers the same as OAI, they would be a materially lower in rev…

If they both IPO in the coming quarters, not sure how the SEC is going to let these two companies have different accounting treatment for essentially the same type of revenue.

OpenAI TAKES OUT the 80% revenue share that goes to @Microsoft Azure and others so reports this 3rd party revenue on a NET basis in their total revenue.

Anthropic INCLUDES the revenue share that goes to @amazon AWS and others in their revenue so reports this 3rd party revenue on a GROSS basis in their total revenue.

IMO, OpenAI taking more conservative approach that reflects the reality of the economics of these hyperscaler partnerships.

[Ai Fujiki @Ms_amour19]

お世話になっている山崎さんが新ファンドを立ち上げられました🚀 日本のAI buildersを支える存在になってください！！

[山崎良平 | Delta Xファンド 代表パートナー @zakiryo1533]

https://t.co/vAgSv8Pqz5