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New orchestrator model for Computer users (Pro and Max): Sonnet 5.
Claude Sonnet 5 is now available in Perplexity for Pro and Max subscribers. You can also select it as an orchestrator model in Computer. https://t.co/UktzCrUZU6
📣 Claude Sonnet 5 is now rolling out in @code. Give it a try!
📣 @AnthropicAI's Claude Sonnet 5 is now generally available and rolling out in GitHub Copilot. Early testing for Claude Sonnet 5 showed: • strong results across a range of coding scenarios, particularly for performance on CLI-style tasks. • excellent prompt-cache utilization and
Notice that Sonnet 5 scores worse than Opus 4.8 on every single benchmark (except GDPval, on which it's 3 points higher - nothing material). This is in line with my suspicion that we have an unofficial moratorium on frontier model releases in the U.S. until the Fable 5/GPT-5.6 situation is resolved.
Sonnet 5 is a substantial improvement over Sonnet 4.6 on reasoning, tool use, coding, and knowledge work. Its performance is close to Opus 4.8, at lower prices. https://t.co/VOISbk14Lk
Claude Sonnet 5 benchmarks https://t.co/BQ1bAyLEh5
We’re introducing GeneBench-Pro, a research-level benchmark for a harder kind of AI progress: how well agents can navigate messy biological data, choose the right analysis path, and make judgment calls that real computational research depends on. https://t.co/AsilnnSxnE
We launched @wandb’s research agent. Research can be lonely https://t.co/vqbhCLsFJi
If you ever wondered about how how open/closed model makers and inference providers make economic sense, this is the piece to read
https://t.co/TIeuZQUj5D
World models are going to define the next generation of AI. They will let AI actually simulate and predict how the world works. And that is beyond powerful. But world models, like all models, need data, and real-world data is often the pain point: slow, expensive, hard to simulate. @gen_intuition has spent years building datasets to deal with this problem. Billions of gameplay clips, each one carrying the exact actions behind it - what the player saw, matched to what they did. The same foundation model that plays games can now pilot a physical robot. What it learns in virtual worlds carries into our physical world. They are a generational company, and we're so excited to be backing them. Congrats @PimDeWitte and team!! You all are true super geniuses.
Announcing our $320M Series A at a $2.3B valuation, led by @khoslaventures, with @generalcatalyst, @ericschmidt and @JeffBezos. General Intuition is the frontier lab for acting in space and time. We build large action foundation models trained on billions of ground truth action
Got the model converted to CoreML and working on iOS; will open source soon! https://t.co/6xo8VetVGT
X just launched hosted MCP servers so AI tools can connect directly to the platform. Connect Grok Build, Cursor, Claude, VS Code, or any MCP client to two official servers: • X MCP (httpx://api.x.com/mcp) search posts, manage bookmarks, fetch trends/news, and draft/publish Articles with your account permissions. • Docs MCP (httpx://docs.x.com/mcp) instantly search and read X API docs inside your workflow. Quick Grok setup: X Developer Portal: httpx://developer.x.com/ Before you begin. Create an X app in the X Developer Portal with OAuth 2.0 enabled. Register the redirect URI https://localhost:8080/callback on the app. Copy your CLIENT_ID and CLIENT_SECRET. Replace YOUR_X_APP_CLIENT_ID and YOUR_X_APP_CLIENT_SECRET in the attached image with these. Run the commands from: [Image attached at bottom] Then verify: grok mcp doctor xapi grok mcp list One-time browser login on first run. Tokens cached and auto-refreshed locally after. Big unlock for agentic systems that need live X data.
