Dwarkesh Unplugged, presented by WorkOS
Fei-Fei Li discussing AI's future with Dwarkesh creates a rare private signal room that warrants an immediate go/no-go decision.
Signal, not noise
This hub currently lists 21 upcoming robotics, embodied-AI, and physical-intelligence events across Bay Area, Berkeley, NYC, and San Francisco. Events appear here when the source data assigns them to the physical-intelligence lane, regardless of metro. Data updated July 23, 2026.
Fei-Fei Li discussing AI's future with Dwarkesh creates a rare private signal room that warrants an immediate go/no-go decision.
Physical AI as the explicit subject with a fund (Infodriver Capital) in the room is a direct thesis hit.
Crusoe, SGLang, NVIDIA, GPU orchestration, bare-metal clusters, and twelve technical demos make this a high-signal infrastructure room.
Live hardware demos, six varied physical-world startups, relevant investors, and Studio 45 founder density make this a clear go/no-go event.
A full-day SPC and Viam hackathon with real robot arms, cameras, mentors, and live demos is an exceptional private signal-fit event.
World-models hackathon is a named high-value signal (embodied-AI hackathons + world-model research) in the thesis lane.
A dedicated robotics and automation gathering with founder-community adjacency is directly decision-worthy.
A curated Stanford room combining robotics and embodied-AI founders, technical researchers, hardware investors, pitches, and warm follow-up warrants a go/no-go decision.
Lux Capital's intimate release-day biosecurity discussion is a rare, strategically relevant deep-tech room worth an explicit decision.
The Tesla-hosted FSD experience gives an otherwise broad AI breakfast a concrete autonomous-systems and physical-world angle worth deciding on.
A rigorous embodied-AI research forum with live robot demos and frontier-lab density is nearly ideal for private signal.
Curated university spinouts, reverse pitches, investors, sensors, robotics, and critical-mineral infrastructure make this directly thesis-aligned and decision-worthy.
A dedicated geospatial-intelligence lecture is strategically relevant, though the missing speaker and agenda details limit confidence in room quality.
Sergey Levine, Jim Fan, Wei Zhan, private signal, DeepMind, NVIDIA, and private signal make this an exceptional must-decide frontier room.
A robotics founder discussing generalizable intelligence across embodiments, paired with deep-tech pitches and active VCs, makes this decision-worthy.
This is a rigorous Stanford research dinner with concrete wet-lab and lab-automation relevance, though its direct robotics connection is limited.
Live physical demos and dense hardware-builder access make the established SF Hardware Meetup directly decision-worthy.
Manually added by owner.
Elite compute leadership, private signal and d-Matrix participation, and a live edge robot demonstration make ModCon a top-priority decision.
Cerebras product demos and infrastructure leadership provide a strong bare-metal compute reason to make a go/no-go decision.
Explicit robotics demos plus founder-investor access make this worth a go/no-go decision despite the broad worktech framing.
As of July 23, 2026, this hub lists 21 upcoming events across Bay Area, Berkeley, NYC, and San Francisco. The current top pick is Dwarkesh Unplugged, presented by WorkOS on Thursday, July 23, 2026. Its PI Events detail page links to the official listing for verification.
PI Events is human-curated by V. Attawar, co-founder of Simovian Intelligence. Events pass a relevance gate for physical intelligence, robotics, embodied AI, deeptech, or capital, plus a quality floor based on the room, speakers, and practical value.
This hub includes events assigned to the physical-intelligence lane: robotics, embodied AI, robot learning, hardware, and adjacent real-world AI topics across all covered metros.
The count and top pick are generated from the live PI Events SEO dataset on every request. This hub was last updated July 23, 2026; event details can change, so verify the linked official listing before attending.