Today we’re launching @indexnetwork_ It’s been exciting to watch already. The first 100 people in are hiring founding engineers, raising seed rounds, writing speculative fiction. One said accepting an intro “feels like the early magic of the internet.” Try it for yourself: index.network/l/088436b1-baf… The premise: With Index, personal agents can coordinate with each other and thus introduce the right people to their users. They do this by negotiating on their principals’ mutual intents, replacing the need for us to broadcast on platforms and scroll endless feeds. In practice: You log what you're looking for (“signals”) by talking to your agent, it negotiates on fit with the others, and comes back to you with proposed intros for you to accept or pass on. It learns from each turn to surface more relevant people for you. As founders, but also just as internet nerds - we feel the expectation to be constantly visible. It can be empowering but also tiring, especially when there’s little certainty in how algorithms will route the right people to see your post. On the market level, economists call this search friction: the idea that many deals are never made because it costs too much to find each other. We call it the right person, wrong time. So that’s why we’re building Index - we’re keen to see what happens when we take social discovery out of the feeds. It’s possible now because of agents. They can help carry the burden of searching, shouting, negotiating, and coordinating in service of finding your others - and we’re so excited to see how this works in the wild. We’re building this for a world where you can trust that the right person is not out there, but right around the corner. In fact, we even made a short film about it.

Every AI answer begins as electricity. Then it becomes heat, memory pressure, GPU scheduling, cache hits, kernel tricks, routing decisions, and finally a token on your screen.

Every AI answer begins as electricity. Then it becomes heat, memory pressure, GPU scheduling, cache hits, kernel tricks, routing decisions, and finally a token on your screen.

We're open-sourcing Claude Commerce Agents. This is a blueprint for building shopping and merchant agents, with reference implementations across retail, travel, telecom, and entertainment.

Introducing the Metropolis global hackathon Six weeks to build the next generation of startups on Monad. 4 tracks. Over $250K in prizes for builders. Submissions end October 13th. monad.xyz/metropolis

We are committed to pushing the model frontier across cost efficiency, capability, and speed. Starting today, we are reducing prices for GPT-5.6 Luna by 80% and GPT-5.6 Terra by 20% , and offering a faster option for GPT-5.6 Sol in the API. Luna and Terra’s lower prices are reflected in how usage is counted in Codex and ChatGPT Work, so your usage goes further.