Toronto AI Safety

​​Important registration information: ​​To participate in this event, please join Apart Research's Discord Sever prior to the start of the hackathon.

​​This hackathon focuses on building that missing infrastructure. You'll have one intensive weekend to create verification protocols, monitoring tools, privacy-preserving compliance proofs, or coordination systems that could enable enforceable international cooperation on AI safety.

​Top teams get:
​💰 $2000 in cash prizes + Fast track to:

• ​Your Next Job at Lucid Computing
• ​The MIRI TGT Fellowship
• ​The Apart Fellowship

​​You will work in teams over one weekend and submit open-source benchmarks, detection tools, scenario analyses, monitoring tools, or empirical research advancing our understanding of AI trajectories.
​​​​​​Trajectory Labs, the jamsite, provides a comfortable and spacious coworking space along with coffee, tea, and other refreshments (meals not provided, but there are many nearby options). Other locations will also be taking part!

REGISTER FOR THE EVENT HERE.

At the 2026 World Economic Forum, Demis Hassabis, CEO of Google DeepMind; Dario Amodei, CEO of Anthropic; and Zanny Minton Beddoes, Editor-in-Chief of The Economist, met to discuss AGI risks, governance, and global impact.

​We will be meeting to watch the discussion in full. Afterwards, we will split off into small groups to discuss the video. If you've already seen the video, you can feel free to arrive at 7:00 to jump into discussion.

Food will be served.

This is a ticketed event. Please register at this link.

Continual learning is a core ability behind humans’ ability to perform economically valuable tasks. As frontier AI companies train LLM agents to be increasingly autonomous, they are likely aggressively pursuing approaches to continual learning in LLMs. In this talk, Rohan Subramani and Rauno Arike discuss the potential implications of this development on the capabilities and of LLM agents and its effect on AI safety and alignment.

This is a ticketed event. Please register at this link.

​Agent swarms can complete multi-month to year software development tasks. What does this mean for timelines? Julian Moncarz provides an overview of safety risks that emerge when agents work in swarms.

​​​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 Discussions
​​​​​​If you can't make it in person, feel free to join the live stream starting at 6:30 pm, via this link.

​​​This is part of our weekly **AI Safety Thursdays **series. Join us in examining questions like:

• ​​​How do we ensure AI systems are aligned with human interests?
• ​​​How do we measure and mitigate potential risks from advanced AI systems?
• ​​​What does safer AI development look like?