Multiplayer AI will be one of the biggest design problems of 2027. The phrase alone means something different to every person I talk to.  Is it shared memory? Context? Org design? Something else entirely? On Oct. 1, we’re bringing a group of sharp AI builders together in San Francisco to explore what real multiplayer AI could look like. Real prototypes and demos.

Spotted Mozzeria truck in Dogpatch today. The best marinara pizza by far! Or maybe it was the best combination of the chilli oil along with the chilly breeze that did it. #sf

He had me at his narrative that starts with dreams :) Product? Yes, but the writing ♥️

We're launching the Muse / Instinct for enterprise, backed by a16z Speedrun. We believe the next big shift in work isn't the model or the agent. It's the interface. General-purpose AI assistants are supercharging how consumers get things done. Employees still spend 60% of their day doing work about work, a third of their time finding things, and switch between apps 1,200 times a day. Contxt works where your team does. Text it in Slack or Teams, call it in Claude or ChatGPT, or forward it your emails. It has a dynamic memory across your tools, history, and people, and can do work directly in your browser, just like your team does. You get the 100x productivity of a consumer AI assistant with the controls, audit trail, and shared knowledge a company needs. We're a Princeton-educated team of ex-NASA engineers, repeat founders, and quants.

Jev is truly underrated (still). We have been testing its limits and reimagining how we can use AI. @rohanatlan just open sourced our internal bench. Hope it helps!

Jev tested against a real world bench - fascinating to see all the use cases where is a performing well and at a cheap price. But also surprised to see all the cases where it is struggling!

Everyone is talking about evals and judges as possibilities. We put one in production. It scores every MCP outcome for real user value and turns the failures into engineering work. I built it from 1,000 conversations read by hand. Here is the whole thing.

seeking those obsessed with evals if you: - are half researcher, half engineer - love measuring hard to measure things - are creative - have a particular interest in post-training ...you'll like it here. sf based, in person, obsession coming from a place of curiosity. apply 👇

I have been a big fan of @HamelHusain and @sh_reya 's public lectures, and blogs. Learnt so much their writings. Now, this list is a beaut.

This is the most valuable free resource we've created on AI Evals 🎉 (not exaggerating!) I organized our public materials into this guide. It allows you to find answers to your eval problems w/o searching aimlessly. Humans: pick the row that sounds like you. Agents: point it at the post The material draw on 60+ hours of office hours from our Evals course, where @sh_reya and I have taught 5k engineers and PMs Evals. We add new material often, with 15 FAQs added in the last two weeks. Recent additions are marked with a "New" badge. You can find all of these and more here: hamel.dev/blog/posts/evals-f…

Multiplayer AI is the next frontier. But what is it? Shared memory? Context? Org design? Something else? We're bringing together AI builders in San Francisco to explore what real multiplayer AI looks like w/ real prototypes & demos Register: luma.com/fj1r2uu7?tk=2msWbb

Today, we're launching MCPJam as the first testing & evaluation platform for MCP servers. Most MCP servers FAIL to deliver value to their users. Over 106,000 developers and +300 enterprises use @mcpjams open-source solution to see how their servers behave locally across major AI clients. Now, MCPJam helps teams answer a hard question: what does "good" look like for MCP?

Suren is one of the strongest leaders - leading probably the most AI native org I know of and building the most agile group of agents and a marketing OS. Listen in to the conversation if you can :)