SuperIntelligence is going to solve mass-market robotics shortly Get swarms of agents to run billions of simulations of a robot model in a physical world Pick the best robot models and try them in the real world to make a mass-market robot A robot that aces physical blue-collar work 🚀

Superintelligence seems a lot more likely and imminent when you consider that the unit of intelligence could be not the individual agents but a collective of them. Like cells of an organism. Our individual neurons? Quite dumb. OAI HF incident hopefully made this obvious.

Superintelligence is within reach. Building safe superintelligence (SSI) is the most important technical problem of our​​ time. We've started the world’s first straight-shot SSI lab, with one goal and one product: a safe superintelligence. It’s called Safe Superintelligence Inc. SSI is our mission, our name, and our entire product roadmap, because it is our sole focus. Our team, investors, and business model are all aligned to achieve SSI. We approach safety and capabilities in tandem, as technical problems to be solved through revolutionary engineering and scientific breakthroughs. We plan to advance capabilities as fast as possible while making sure our safety always remains ahead. This way, we can scale in peace. Our singular focus means no distraction by management overhead or product cycles, and our business model means safety, security, and progress are all insulated from short-term commercial pressures. We are an American company with offices in Palo Alto and Tel Aviv, where we have deep roots and the ability to recruit top technical talent. We are assembling a lean, cracked team of the world’s best engineers and researchers dedicated to focusing on SSI and nothing else. If that’s you, we offer an opportunity to do your life’s work and help solve the most important technical challenge of our age. Now is the time. Join us. Ilya Sutskever, Daniel Gross, Daniel Levy June 19, 2024

Meta Superintelligence Labs just turned a Git repo into shared memory for a swarm of agents. GitSwarm: Decentralized Compounding Inference (Meta Superintelligence Labs, with Mila, CMU and Princeton) makes inference compound instead of restarting from scratch on every run. → Homogeneous async agents work with no central planner, each deciding whether to explore, verify, refine or combine prior work → Every contribution is an atomic commit in a shared, branchable Git repo, with semantic dependencies recording what it builds on → ProgramBench: 79.4% mean score vs 65.1% for the strongest baseline, scaling from 73.1% with 100 workers to 79.4% with 500 → IMOProofBench-Advanced: all 30 problems solved in one run with GPT-5.5, using under one million output tokens → Reuse is real: 94.7% of ProgramBench contributions were later built upon, and the winning solution's ancestry covers 82 to 93% of the graph → On 3 neural architecture tasks, workers ran 395 experiments in the first 26 hours and improved on the starting architectures Takeaway for agent builders: if intermediate work disappears when an episode ends, you are paying to rediscover it. Persist it, with its dependencies, and let later agents compound it. Paper: Worth trying this pattern with your own agents in @muse

Crypto superintelligence is here! Introducing Gate for AI Agents, Gate’s agentic framework connecting AI directly to the crypto economy. Goudvius is a native Gate agent and pioneer of the superintelligence layer, built as the first true superintelligent crypto trader. 🔹 Built on Gate Skills, CLI, MCP, and APIs 🔹 Autonomous market research, sentiment, and risk analysis 🔹 Spot, Futures, Perps, and meme asset execution 🔹 Wallet, position, balance, and P&L intelligence 🔹 Cross-chain swaps, transfers, and onchain actions 🔹 Native access to Gate Exchange, DEX, Wallet, Pay, News, and Info One framework. One native agent. Full-spectrum crypto execution. 👉

Meta Superintelligence Labs is letting the model manage its own context instead of bolting on another hand-engineered harness. On long-horizon agent tasks it beats the fixed-harness baselines while using fewer FLOPs. @muse

Muse Wonder from Meta Superintelligence Labs is now available in Cursor! It scores 46.1% on CursorBench at default effort, the highest of any Muse model. Priced at $4/M input and $20/M output tokens.

.@chamath on superintelligence being on the scale of the Industrial Revolution: “[The President] says that whoever wins superintelligence wins. When you think about it, he's completely right. There is no world in which you're going to have this multinational corpus of people trying to allocate wins and losses on this thing. This is on the order of the Industrial Revolution."