About us
Join us for a variety of events on technical AI safety, governance in a world of advanced AI, and more.
Hosted by Trajectory Labs, a nonprofit coworking and events space catalyzing Toronto's role in steering AI progress toward a future of human flourishing.
Is there a topic you'd love to see us cover at a future event? Submit your suggestion here.
Upcoming events
5
The Model That Was Too Dangerous To Release
30 Adelaide East, Industrious Office 12th Floor Common Area, 30 Adelaide East, 12th Floor, Toronto, ON, CAThis is a ticketed event. Please register at this link.
Giles Edkins looks into what we know about the alignment and cyber capabilities of Claude Mythos Preview.
Event Schedule
6:00 to 6:30 - Food and introductions
6:30 to 7:30 - Presentation and Q&A
7:30 to 9:00 - Open DiscussionsIf you can't make it in person, feel free to join the live stream starting at 6:30 pm, via this link.
18 attendees
How Companies Get Nationalized — and What It Means for AI
30 Adelaide East, Industrious Office 12th Floor Common Area, 30 Adelaide East, 12th Floor, Toronto, ON, CAThis is a ticketed event. Please register at this link.
Proposals to nationalize AI development keep surfacing — whether driven by fears of AGI-related loss of control, or by national security logic like an "AI Manhattan Project." But these discussions rarely engage with how nationalization actually works in practice.
Join Jason Yung at Trajectory Labs as he draws on the history of nationalization — its triggers, mechanisms, and consequences — to build a grounded picture of how nationalizing an AI company might actually unfold
Event Schedule
6:00 to 6:30 - Food and introductions
6:30 to 7:30 - Presentation and Q&A
7:30 to 9:00 - Open Discussions6 attendees
Regulatory Markets: the Future of AI Governance
30 Adelaide East, Industrious Office 12th Floor Common Area, 30 Adelaide East, 12th Floor, Toronto, ON, CAThis is a ticketed event. Please register at this link.
Most AI governance proposals land in one of two failure modes: command-and-control regulation that can't keep pace with the technology, or heavy delegation to industry that leaves values-based decisions in private hands. In a 2023 paper, Gillian Hadfield and Jack Clark propose a third path: regulatory markets, where governments license private regulators and require AI companies to purchase regulatory services from them.
Kathrin Gardhouse will walk us through the paper's core argument and what it would actually mean in practice: how regulatory markets differ from existing approaches, what problems they solve, and what they might get wrong.
Event Schedule
6:00 to 6:30 - Food and introductions
6:30 to 7:30 - Presentation and Q&A
7:30 to 9:00 - Open Discussions5 attendees
Why Neural Network Representations Won’t Converge to Reality
30 Adelaide East, Industrious Office 12th Floor Common Area, 30 Adelaide East, 12th Floor, Toronto, ON, CAThis is a ticketed event. Please register at this link.
The Platonic Representation Hypothesis (Huh et al., 2024) proposes that neural networks are converging toward a shared statistical model of objective reality, offering a Platonic explanation for the growing representational similarity observed across models of different architectures, datasets, and modalities.
In this talk, Robert Adragna argues that such convergence is computationally intractable in practice. Truly representing reality would require models to recognize the same real-world concept across all its possible appearances — a form of robustness that theoretical and empirical work suggests is infeasible to achieve at scale. He proposes an alternative account: representational convergence reflects shared structural assumptions embedded in training data, not the discovery of objective reality.
Event Schedule
6:00 to 6:30 - Food and introductions
6:30 to 7:30 - Presentation and Q&A
7:30 to 9:00 - Open DiscussionsIf you can't make it in person, feel free to join the live stream starting at 6:30 pm, via this link.
5 attendees
Past events
222
Group links
Members
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