Search: “david-ha--x”

Proud to be part of the @SakanaAILabs RSI Lab The vision: the future isn't the most compute-hungry self-improvement engine, it's the most sample-efficient one. This is also how sovereign AI gets built

Excited to partner with @OpenRouter ⚡ Products like OpenRouter Fusion and Sakana Fugu have sparked a serious conversation about dependency and resilience in AI. I believe this is just the start of a g

Fugu Ultra by @SakanaAILabs is live on OpenRouter! Excited to see more multi-model systems pushing the frontier. Fugu-Ultra is now live on @OpenRouter! ⚡ We share a core vision with the OpenRouter tea

Fugu-Ultra is now live on @OpenRouter! ⚡ We share a core vision with the OpenRouter team: the future of AI isn’t a single monolithic model, but the collective intelligence of the world’s best models w

Sakana AI CEO David Ha (@hardmaru) appeared on TBS CROSS DIG’s “1on1 Tech.” He talks about our founding story, latest research and technical vision, product launches including Sakana Fugu, Japan’s AI

Thank you all for the overwhelming interest in our new Member of Technical Staff (RSI Lab) role. Just to clarify many questions asked, the role is not remote. We expect candidates to move to Tokyo, Ja

The next scaling law is multi-agent swarms. Mixture of models. Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API. Our ‘Fugu Ultra’ model matches the pe

Sakana AI's Fugu is a technical report describing an AI model or system, likely focusing on neural architecture design or evolutionary computation methods given Sakana AI's research focus. The report

Sakana AI announced a new service called 'Fugu' that bundles multiple AI models together through programming to achieve higher performance capabilities. The approach combines various AI systems in a c

Another new idea to push the state of AI architectures forward. Sakana released a model that effectively uses a mixture of models to get work done. You get a single API but then the work gets farmed o

Benchmarks tell only part of the story. Fugu’s real value shows up in long, messy, real-world workflows. During our beta with 500 users, we saw Fugu Ultra drive meaningful progress in fully automated

Fugu stands shoulder-to-shoulder with leading models like Fable and Mythos across the industry's most rigorous engineering, scientific, and reasoning benchmarks. Read the full blog: https://sakana.ai/

How does it work? Sakana Fugu is itself an LLM, trained to call various LLMs in an agent pool, including instances of itself recursively. Fugu dynamically orchestrates the world's best models to tackl

Human intelligence is fundamentally a collective intelligence. We solve complex problems by participating in a vast cultural network that builds upon ideas across generations. I believe the strongest

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 w

Major kudos to @hardmaru and @SakanaAILabs on the launch 🚀 'our core conviction has been that the most powerful AI systems will be collaborative ecosystems, not isolated monoliths...the future belongs

🐡 Sakana Fugu リリース 🐡 マルチエージェントを指揮する、一つのモデル ブログ：https://sakana.ai/fugu-release/#Japanese 本日、Sakana AIは新しいプロダクト「Sakana Fugu」の提供を開始しました。Sakana Fuguは、最先端のモデル群からなるマルチエージェントシステム全体を、単一のモデルAPIとして提供します。 難しいタスク

Sakana Fugu Ultra is live on AI Gateway. Mythos-class intelligence in a single call, with a whole pool of models behind it. 𝚖𝚘𝚍𝚎𝚕: '𝚜𝚊𝚔𝚊𝚗𝚊/𝚏𝚞𝚐𝚞-𝚞𝚕𝚝𝚛𝚊' https://vercel.com/changelog/sakana-fugu-ultra-no

Tried & liked it on http://archive.tw. 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 th

Use Case 1: Autonomous ML Research Can an AI autonomously improve another AI’s training recipe? We tasked Fugu Ultra with improving a small GPT model using AutoResearch. Over 14 hours on a single H100

Use Case 2: Financial Time Series Prediction Can an AI agent navigate sequential, no-look-ahead market decisions? Just for fun, we tested Fugu Ultra on 50 weeks of historical data for an anonymized eq

Use Case 3: One-Shot Blindfold Chess Can an AI hold an entire game state in memory without drifting? To test Fugu Ultra’s persona stability and sustained memory, we had it play 4 back-to-back games of

Use Case 4: Computer Aided Design of Mechanical Iris Can an AI generate precise, functional mechanical designs? We tasked Fugu Ultra with creating a mechanical iris in CAD, similar to a camera apertur

AI that builds AI - 3 early steps of Recursive Self-Improvement (RSI) ▪️@AnthropicAI: 80% of the code merged into their codebase was authored by Claude ▪️@SakanaAILabs - RSI is their mission. With res

Sakana AI founder David Ha discusses how AI can accelerate AI development, emphasizing that progress comes from innovative ideas rather than computational resource quantity alone. The article covers S

AIを作るAIを作る：RSI Lab始動 https://sakana.ai/rsi-lab-jp/ Sakana AIは、再帰的自己改善(Recursive Self-Improvement、RSI)に取り組む専任の研究グループ「RSI Lab」を、東京で立ち上げます。RSIは、AIがAIそのものを作る仕組みです。 この2年間、私たちはLLM-Squared、Darwin Gödel Machi

Member of Technical Staff (RSI Lab) https://sakana.ai/careers/member-of-technical-staff-rsi-lab/ If you are a visionary builder ready to move to Tokyo and engineer the engine of recursive discovery, w

We didn’t just start working on Recursive Self-Improvement yesterday. We have been methodically shipping the foundations for two years. To execute the next phase of this mission, we are seeking a sele

We’ve been laying the foundations for RSI over the last 2 years. Now, I am looking for a select group of distinguished frontier researchers and engineers to join our core RSI team. https://sakana.ai/c

Building AI that Builds AI: Introducing the Sakana AI RSI Lab 🚀 https://sakana.ai/rsi-lab Today, we are announcing the Sakana AI Recursive Self-Improvement (RSI) Lab: a dedicated research group in Tok

Let’s go 🚀 Building AI that Builds AI: Introducing the Sakana AI RSI Lab 🚀 https://sakana.ai/rsi-lab Today, we are announcing the Sakana AI Recursive Self-Improvement (RSI) Lab: a dedicated research g

Really excited to be part of this journey and team 🚀 Ever since @SakanaAILabs inception, we have been discovering stepping stones for a fundamental 'AI² paradigm shift': Leveraging AI systems to impro

Today, we are officially launching the Sakana AI RSI Lab in Tokyo to build open-ended, adaptive AI systems that collectively self-improve. I am incredibly proud of our team’s work over the past 2 year

On TV Tokyo’s WBS (@wbs_tvtokyo) tonight I’ll be discussing Sakana AI’s upcoming 1T parameter model project, supported by METI’s GENIAC initiative. We are scaling up to build Japan’s first 1T paramete

Why Japanese companies do so many different things: The internal logic of the world’s strangest corporations https://davidoks.blog/p/why-japanese-companies-do-so-many TL;DR > you have a firm that has

David Ha announced joining Sakana AI as an Applied Research Engineer starting June 1st, focusing on AI development in defense and intelligence sectors. His work will apply cutting-edge technology to c

金融分野で働くSoftware Engineerのインタビュー記事を公開しました🐟 https://sakana.ai/finance-swe-interview-2026/ 内容を一部ご紹介 ・金融業界の業務を変革するための融資業務支援プロジェクトの開発 ・金融業界の制約を踏まえたAIエージェント開発における技術的課題 ・AIネイティブな環境における、高い裁量と オーナーシップを重視した働き方

Sakana AIは、一般社団法人DEEP DIVEとAIを活用した情報分析に関するパートナーシップを締結しました。 https://sakana.ai/deep-dive-partnership/ ■専門家の知見・オープンデータ × 独自AI技術 ■人手では難しかった規模・速度・解像度での分析を実現 当社が注力する「防衛・インテリジェンス」領域への社会実装を 本格化し、我が国の安全保障環境の発展

DiffusionBlocks is a novel training method that enables neural networks to be trained sequentially, one architectural block at a time, rather than end-to-end. This approach, developed by Sakana AI, le

For over a decade, we’ve accepted that end-to-end backprop is the only way to train deep networks. But holding the entire network in memory all at once is why AI training is hitting a resource wall. W

Sakana AIのオフィスが入居する麻布台ヒルズなどを運営する森ビルのウェブメディア「HILLS LIFE DAILY」に、Sakana AIリサーチサイエンティストのカラーヌワット・タリンへのインタビュー記事が掲載されました。 麻布台ヒルズのデジタルサイネージで上映中の浮世絵風画像生成プロジェクトを起点に、 日本文化を理解するAIモデルの可能性について語っています。約12,000枚の浮世絵でフ

Forecasting Scientific Progress with Artificial Intelligence https://arxiv.org/abs/2605.22681 Turns out AI is just as bad at forecasting biology and physics breakthroughs as we are. To be fair, most b

Sakana AI Labs is recruiting software engineers for enterprise-focused roles, with details available on their careers page. The position likely involves developing and maintaining software infrastruct

5月25日、内閣総理大臣官邸で開催された車座対談に、Sakana AIの伊藤錬が参加しました。 金融など各産業に特化した高度なAI実装の実例をご紹介しました。また、海外の先端モデルも活用しつつ、日本独自の技術で、我が国の防衛の自律性やデータ主権を確保する具体的方法についても高市総理と貴重な意見 交換の機会をいただきました。 本日、スタートアップ４社（Atomis、Sakana AI、Oceanic

People keep asking if AI will replace software engineers. I believe the exact opposite. Thanks to the Jevons paradox, AI tools are making great engineers 10x more productive, allowing us to tackle muc

【採用情報】「Software Engineer」の5ポジションが現在オープン！ https://sakana.ai/careers 「AIが進化すれば、ソフトウェアエンジニアの仕事はなくなるのか？」 Sakana AIは、全く逆だと考えています。 AIツールの登場で開発効率が劇的に向上する一方、ジェボンズのパラドックス（Jevons paradox） が示すように、私たちが解決できる課題の幅と規