Bay Area Frontier Research Club #14 | Stanford University (dinner + paper discussion)
The Frontier Research Club is where frontier AI work gets pressure-tested. Fourteen sessions in, the room draws researchers from DeepMind, Meta, OpenAI, and Anthropic, faculty and PhDs from Stanford and Berkeley, and the engineers running these systems in production — convened around concrete work: papers, methods, results.
The bias is toward the questions that decide whether a result is real: What are the assumptions? How was it evaluated? Where does it fail? What would convincing evidence actually look like?
Short talks, long arguments. Each session features two to three presentations selected for rigor, kept deliberately brief so most of the evening belongs to questions and critique. Papers go out in advance — the conversation starts at a high baseline because everyone's done the reading.
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
Talk #3: 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.
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
No ML background required. If you’ve ever wished research moved faster, you belong here.
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.
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.