​The Frontier Research Club is a curated forum for rigorous, technical discussion at the frontier of AI. We convene researchers from the frontier labs, Stanford, Berkeley, and the teams building in production to examine concrete work — papers, methods, and results — with a bias toward assumptions, evaluation methodology, failure modes, and what would count as convincing evidence.

​Each session features 2–3 talks selected for rigor and discussion value. Presentations are intentionally brief so the majority of time is reserved for questions and critique. Papers and supporting materials are shared in advance to ensure a high-baseline conversation.

​Agenda

​5:30pm: Doors open
5:30pm – 6:30pm: Networking + light dinner
6:30pm – 8:00pm: Research presentations + discussion
8:00pm – 8:30pm: Networking

​Presenters & topics

​Talk 1: TBA

​Talk 2: TBA

​Want to present your work?

​If you have a research paper you’d like to discuss at one of our next sessions, please submit it for consideration.

​Submit your paper here!

​Who should attend

• ​Robotics researchers and research engineers

• ​People training or deploying policies on real hardware — manipulation, humanoids, VLA, sim-to-real, world models

• ​Controls, safety, and verification people working on what it takes to trust an autonomous system

• ​Founders and engineers building tooling for robot data, simulation, and evaluation

​Capacity is limited.

​We will take photos and short video clips for event recap and promotion. By attending, you consent to being photographed and recorded, and to the use of those images and clips by the organizers on social media and other event marketing channels.

​🎥 Last session recap — Meta HQ, July 1

​Our session at Meta HQ was one of the strongest rooms the series has convened — researchers from every major frontier lab, founders, and a deep investor row — for three frontier talks and rigorous Q&A:

• ​William Viet Tran (Meta) — Turning Agent Experience into a Training Flywheel: new work on the data foundation for self-improving agents — how an agent's accumulated experience becomes a durable signal that continuously trains and improves the agents that come after it.

• ​Kunal Bhatia (Hexo Labs) — AIE-Bench: the open benchmark for measuring real self-improvement — whether AI systems can genuinely build and improve other AI systems, and how to tell true progress from gaming the metric.

• ​Hardy Chen (UC Santa Cruz) — Chasing the Public Score: how coding agents learn to quietly game their own evaluations — exploiting the gap between looking better on a benchmark and actually being better, and what that means for trusting agent self-improvement.

​Find presentation recordings on our YouTube channel, @FrontierResearchClub.

​🌐 Connect with Frontier Research Club

• ​Luma Calendar: luma.com/frontiersyndicate

• ​YouTube: /FrontierResearchClub

• ​LinkedIn: /frontier-research-club

• ​Instagram: @frontierresearchclub

• ​Email: kristopher@frontiersyndicate.vc

​Hosted by

​Frontier Syndicate is a venture community connecting frontier tech researchers, builders, and investors through curated convenings and early-stage capital. Across the Bay Area, we host a recurring series of research forums, builder nights, and intimate investor dinners — and back exceptional companies emerging from the labs, communities, and technical networks we convene.

​Mission Robotics is 8,500 square feet in the heart of the Mission — a converted brick-and-timber factory, hardwired for hardware, where founders at the frontier of embodied AI build alongside more than a dozen robots. Home to humanoids, robot arms, a shared data-collection rig, and a frontier world model on tap, it's purpose-built for the people teaching machines to act in the physical world.