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Long-Horizon RL Environments for Scientific Research. Long-Horizon RL Environments for Scientific Research. We develop RL environments and process-based training data for LLMs, starting with agentic coding environments for ML research workflows.

Deep Integrations Connect your stack once and coordinate research execution across repos, experiments, vector databases, and cloud runtimes.

Connect once on the dashboard. Credentials sync to every agent and every session.

Write Turn rough notes into publication-ready output with structured arguments, verified citations, clean LaTeX, and camera-ready formatting.

Flywheel Build compounding model improvements from production usage, auto-design fine-tunes, run evaluations, and ship stronger versions continuously.

Biology Wet-lab and computational biology specialist for protein design, genomics, pathway analysis, and biomedical reasoning workflows

4 Modes. 1000s of Workflows. Switch modes mid-session to change objectives, tool access, and execution style without dropping context.

We've rolled out a new auto-memory feature. Claude now remembers what it learns across sessions — your project context, debugging patterns, preferred approaches — and recalls it later without you having to write anything down.

A statement from Anthropic CEO, Dario Amodei, on our discussions with the Department of War. anthropic.com/news/statement…

Nano Banana 2 is here. Our latest image model gives you the power of Pro at the speed of Flash. You can create images with real-world accuracy, add text in many languages, and bring your wildest ideas to life faster with vibrant lighting, richer textures and sharper details. 🧵

run long-running agents in the browser. kick off a training run or literature review and close your laptop. your agents keep working while you sleep.

Bring your designs to life quickly and accurately with the @Figma MCP inside Antigravity.

We're updating our Responsible Scaling Policy to its third version. Since it came into effect in 2023, we’ve learned a lot about the RSP’s benefits and its shortcomings. This update improves the policy, reinforcing what worked and committing us to even greater transparency.

AI is changing how work gets done, and we want to lead that transition responsibly. Excited to welcome Arvind KC as Chief People Officer to help OpenAI grow and be a model for how AI-enabled work can expand what people can do. openai.com/index/arvind-k…

Announcing a new Claude Code feature: Remote Control. It's rolling out now to Max users in research preview. Try it with /remote-control Start local sessions from the terminal, then continue them from your phone. Take a walk, see the sun, walk your dog without losing your flow.

New in Claude Code: Remote Control. Kick off a task in your terminal and pick it up from your phone while you take a walk or join a meeting. Claude keeps running on your machine, and you can control the session from the Claude app or claude.ai/code

kick off a research session in the browser, close your laptop — come back to a finished analysis with outputs, figures, and a literature review.

train models and read papers in one place.

Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our product offerings. OpenClaw will live in a foundation as an open source project that OpenAI will continue to support. The future is going to be extremely multi-agent and it's important to us to support open source as part of that.