​The Frontier Research Club is a curated forum for rigorous, technical discussion at the frontier of AI. This session focuses on AI infrastructure and inference — the systems, methods, and hardware that determine how frontier models are trained, served, and steered. 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 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

• ​Experimental researchers

• ​Computational scientists across domains (bio/chem/materials/climate/neuro/physics)

• ​Research engineers + lab automation people

• ​Folks building tools for literature review, experiment planning, robotics, simulation, or scientific data

​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.

​🌐 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.

Hexo Labs is a neolab for recursive self-improving AI. Their open-source SIA framework is the first to update both the harness AND the model weights of a task-specific agent in the same self-improvement loop — clearing state-of-the-art results across multiple domain benchmarks. Hexo backs the broader research community through grants and direct collaboration on hard problems in science and engineering.

Pebblebed is a technical early stage VC founded by Pam Vagata (cofounder of OpenAI, ran AI for Stripe, inventor of FBLearner Flow); Keith Adams (founded Facebook AI Research, was chief architect at Slack, 20th engineer at VMWare) and Tammie Siew (former Sequoia Southeast Asia investor, former Sequoia & Notable Capital backed founder).