Gmail launched on April 1st, 2004 and nobody believed them. Today, we’re launching Notion Mail. Believe us. ntn.so/mail

Introducing Claude for Education. We're partnering with universities to bring AI to higher education, alongside a new learning mode for students.

NEW: Google announces Agent2Agent Agent2Agent (A2A) is a new open protocol that lets AI agents securely collaborate across ecosystems regardless of framework or vendor. Here is all you need to know:

Meet Firebase Studio: A cloud-based, agentic dev environment powered by Gemini ✨💻✨ Find everything you need to prototype, build, and run production-quality full-stack AI apps quickly and safely. Learn more about building AI apps with Firebase → goo.gle/4j3MS9v

Unitree Iron Fist King: Awakening!💪 Let's step into a new era of Sci-Fi, join the fun together! Unitree will be livestreaming robot combat in about a month, stay tuned! #Unitree #Fighting #Boxing #HumanoidRobot #Robot #AI #IronFist #Game

Introducing DolphinGemma, an LLM fine-tuned on many years of dolphin sound data 🐬 to help advance scientific discovery. We collaborated with Wild Dolphin Project to train a model that learns vocal patterns to predict what sound they might make next. It’s small enough (~400M params)

Today we’re launching Research, alongside a new Google Workspace integration. Claude now brings together information from your work and the web.

We got a robot to clean up homes that were never seen in its training data! Our new model, π-0.5, aims to tackle open-world generalization. We took our robot into homes that were not in the training data and asked it to clean kitchens and bedrooms. More below⤵️

I attended a vibe coding hackathon recently and used the chance to build a web app (with auth, payments, deploy, etc.). I tinker but I am not a web dev by background, so besides the app, I was very interested in what it's like to vibe code a full web app today. As such, I wrote

Today we're announcing Integrations, a new way to connect your apps and tools to Claude. We're also expanding Claude's Research capabilities with an advanced mode that searches the web, your Google Workspace, and now your Integrations too.

Very excited to share the best coding model we’ve ever built! Today we’re launching Gemini 2.5 Pro Preview 'I/O edition' with massively improved coding capabilities. Ranks no.1 on LMArena in Coding and no.1 on the WebDev Arena Leaderboard. It’s especially good at building

📣 Proud to share HealthBench, an open-source benchmark from our Health AI team at OpenAI, measuring LLM performance and safety across 5000 realistic health conversations. 🧵 Unlike previous narrow benchmarks, HealthBench enables meaningful open-ended evaluation through 48,562

Introducing AlphaEvolve: a Gemini-powered coding agent for algorithm discovery. It’s able to: 🔘 Design faster matrix multiplication algorithms 🔘 Find new solutions to open math problems 🔘 Make data centers, chip design and AI training more efficient across Google. 🧵

Prompt Theory (Made with Veo 3) What if AI-generated characters refused to believe they were AI-generated?

Since we originally built Claude Code as an internal tool, we've heard a ton of questions about how our teams use it at Anthropic. Here’s an inside look on how our teams—from product engineering, to growth marketing, to legal—use Claude Code:

New Anthropic Research: Project Vend. We had Claude run a small shop in our office lunchroom. Here’s how it went.

Most important tech blog this year: OpenAI engineer and ex-founder of $3.5B Segment wrote a tell all post about how OpenAI works internally. From obsession with X, devout use of Slack to engineering culture and tech stack. A peek under the hood of a generational company.

From various reports OpenAI really did bolt a “Universal Verifier” onto the GPT-5 training loop. And here's that paper, that OpenAI published earlier. "Prover-Verifier Games Improve Legibility of LLM", showing a production-ready pipeline where a verifier model scores each

curious about the training data of OpenAI's new gpt-oss models? i was too. so i generated 10M examples from gpt-oss-20b, ran some analysis, and the results were... pretty bizarre time for a deep dive 🧵

Continuing the journey of optimal LLM-assisted coding experience. In particular, I find that instead of narrowing in on a perfect one thing my usage is increasingly diversifying across a few workflows that I "stitch up" the pros/cons of: Personally the bread & butter (~75%?) of