last frontier labs batch for now bio and world models coming next - @_inception_ai (@adityagrover_, @StefanoErmon) - @ElorianAI (@AndrewDai, @yinfeiy) - @si_pbc (@_neelr_, @devanshpandey) - @adaption_ai (@sarahookr) - Sooth Labs (@rsalakhu) x.com/i/lists/20617784890369…

I’m gonna simply say this: if you are at all interested in a Stargate show with ANY of the original creators/performers involved, now is the time to say something. Otherwise it really will be the end of that chapter forever. Let them know you are THERE

The AI Cruise is back for NY Tech Week. An evening on the water with the people actually building AI. Founders, engineers, and operators, with the Manhattan skyline in view. Thank you to our partners: @FidelityPrivate, @MongoDB, and @ThineAI, alongside Alpha Square Group and Backcountry Ventures. Space is limited. Request an invite below. partiful.com/e/bzH8pCNS375AW… #NYCtechweek

code as agent harness. a 102-page survey from Stanford, Meta, and UIUC on agent harnesses. the paper argues that code is no longer just the thing agents produce. it’s the medium through which they reason, act, and represent their environment. it calls this “code as agent harness” and covers three layers: code as the interface between agents and their tasks; the mechanisms that keep agents reliable over long-horizon execution (planning, memory, tool use, verification); and how multi-agent systems coordinate through shared code artifacts. core findings: the paper introduces “evolution agents” that treat the harness itself as the optimization target. they collect telemetry, diagnose failures, propose infrastructure changes, and promote only mutations that pass regression. the harness improves itself. in multi-agent systems, topology complexity inversely correlates with infrastructure quality. teams with better shared state use simpler coordination. teams without it build increasingly elaborate workarounds. finally, the paper concludes that future agent systems need four properties: - executable - inspectable - stateful - governed read more: arxiv.org/abs/2605.18747 i also published this deep dive (article) on agent harness engineering, covering the orchestration loop, tools, memory, context management, and everything else that transforms a stateless LLM into a capable agent. the article is quoted below.

Everyone building AI agents is focusing on building the prefrontal cortex. Planning. Reasoning. Multi-step chains. There's value here. CEO-stuff. But also, a reframe: there is value in building the cerebellum. It's offloading boring tasks into reflex so the complex thought can focus. Your mortgage gets paid by a standing order, not a committee. The things that are not fun, not interesting, but have to be done? Done. Most agent frameworks will fail because they treat all cognition as high cognition. The winners will nail the boring stuff first.

We're building a Moon Base! @NASAMoonBase will serve as a habitat where astronauts live and work during long-term science missions. Join us at 2pm ET on Tuesday, May 26, for a live news event where we’ll share updates on our lunar exploration plans: go.nasa.gov/4uinkLi

It’s no secret that we intend to launch Starship a lot, targeting thousands of flights per year. That cadence will require the ability to launch from many different locations, so we are constantly exploring to find viable sites to expand Starship operations in the future, both domestically and internationally

RSVP link: app.agihouse.org/events/gene…