イーロン・マスク、創業期からブレず。 「否定的な人は次の会議に呼ばない」——これがSpaceXを動かした。会社は“ベクトルの集合”。全員が同じ方向へ進まなければロケットは飛ばない。 ーーーーーー イーロンがロケット工学を学び始めたばかりの頃でさえ、彼は技術的に驚くほど優れていた。

Congratulations to my friend Alejandro G. Iñárritu on this incredible art installation celebrating 25 years of Amores Perros and the art of filmmaking around the world.

Releasing a new "Agentic Reviewer" for research papers. I started coding this as a weekend project, and Yixing Jiang made it much better. I was inspired by a student who had a paper rejected 6 times over 3 years. Their feedback loop -- waiting ~6 months for feedback each time -- was

Today, the Department of Energy is introducing the Genesis Mission. President Trump is launching this historic national effort to harness the AI computing revolution and double the productivity of American science within a decade. America’s Golden Age of discovery begins now.

Is there an AI bubble? With the massive number of dollars going into AI infrastructure such as OpenAI’s $1.4 trillion plan and Nvidia briefly reaching a $5 trillion market cap, many have asked if speculation and hype have driven the values of AI investments above sustainable

只今弊社は、次世代エネルギーのワークショップに参加させていただいております。 毎回、予習・復習を欠かさず、学びの多い時間を楽しく過ごさせていただいております。 このような貴重な機会をいただき、心より感謝申し上げます。 関係者の皆さま、本当にありがとうございます😊

New course: Building Coding Agents with Tool Execution, taught by Tereza Tizkova and Francesco Zuppichini from E2B. Most AI agents are limited to predefined function calls. This short course teaches you to build agents that write and execute code to accomplish tasks, accessing

Separate reports by the publicity firm Edelman and Pew Research show that Americans, and more broadly large parts of Europe and the western world, do not trust AI and are not excited about it. (Links in original text, below.) Despite the AI community’s optimism about the

NY Systems Reading Group is back for december, we have a new topic on hardware systems security — at the OS level from devices, to drivers, IOMMU and capability-based OS, GPUs and so on takes a deep understanding look at security, and I tried to find readings at all levels

Sharing a fun recipe for building a highly autonomous, moderately capable, and very UNreliable agent using the open source aisuite package that Rohit Prasad and I have been working on. With a few lines of code, you can give a frontier LLM a tool (like disk access or web search),

is DIGGER: “Let’s f***ing go!” Only in theaters October 2026.

OpenReview is one of the most important pillars supporting AI research and knowledge sharing, through open peer review and publishing. But as a non-profit, it needs our community’s support. Please consider making a donation to this great institution! openreview.net/donate

As amazing as LLMs are, improving their knowledge today involves a more piecemeal process than is widely appreciated. I’ve written before about how AI is amazing... but not that amazing. Well, it is also true that LLMs are general... but not that general. We shouldn’t buy into

Happy New Year! In the New Year issue of The Batch, Andrew Ng introduces the Turing-AGI Test, a proposal to evaluate systems' capabilities for real, economically useful work, not hype. And we bring perspectives from: - IBM's David Cox: Open Source Wins - Princeton's Adji

外で飲むBacha Coffeeは、 格別ですね。 最短最速で結果出すね🤗 燈田幸男

High love and high structure. I grew up in a home that was high structure but low love. My father's rules were absolute, enforced by the threat of conflict, but there wasn't warmth underneath. When I started building teams, I instinctively swung the other way: high love, low

How can you solve systems of linear equations efficiently and identify if they have a unique solution? In the Mathematics for Machine Learning and Data Science specialization, you'll learn algorithms that simplify these problems, building a strong mathematical foundation for AI

How can businesses go beyond using AI for incremental efficiency gains to create transformative impact? I write from the World Economic Forum (WEF) in Davos, Switzerland, where I’ve been speaking with many CEOs about how to use AI for growth. A recurring theme is that running

AIは「使う」時代から、「雇う」時代へ。日本企業が待っていた「真のAI同僚」の誕生 ​多くの企業が生成AIの導入を急ぐ一方で、現場では「決定的な課題」に直面しています。​それは、「セキュリティへの不安」と「日本の商習慣への理解不足」です。

「核融合」の社会実装へ向けて この写真の巨大な装置、まるでSFの世界ですが、これは現在フランスで建設が進む「核融合」の実験炉です。圧倒的なスケールと複雑さを前にすると、人類の挑戦の大きさに言葉を失います。しかし、これは遠い未来の夢物語ではありません。