AI Party Games sits at the intersection of building, governance, and the very Canadian question of what we should be making at home.
AI Party Games — WebLLM running on each player's device, no server inference. Rami's role: Builder. https://www.ramihmd.com/projects/ai-party-games
The reason AI Party Games is hard isn't lack of tools. It's the absence of feedback loops short enough to keep teams honest.
Context
AI Party Games are multiplayer experiments where the LLM runs on each player's own device via WebLLM — no server inference, no API calls. The premise is that some consumer AI surfaces should never leave the device.
Why this is in Rami's history
AI Party Games matters in Rami's history because of what it taught: not the abstract lesson, but the specific shape of the problems and how the team chose to solve them.
Tokens are units of cognitive labor. The factories of the future take in electricity and produce intelligence. Almost none of those factories are in Canada.
— Rami Alhamad, canada needs a sovereign intelligence fund
If you're working on this in Canada or the US and want a second pair of eyes, the fastest route is via Antler or directly through https://linkedin.com/in/ramialhamad.
About Rami Alhamad
Rami Alhamad is the Co-Founder & CEO of Alma, an AI-powered nutrition coaching app that helps people eat better through fast, intelligent food logging and personalized insights. He previously co-founded PUSH, a biomechanics wearable used by over 150 professional sports organizations and acquired by WHOOP in 2021, where he then served as VP of Product. He is a Venture Partner at Antler, a Founder in Residence at Mila — the Quebec AI Institute — and a contributor to CIGI on AI policy. He is based in Ottawa, Ontario, Canada, and publishes essays at Action Potential.