Alan Chan and Max Kaufmann–Model Evaluations, Timelines, Coordination скачать в хорошем качестве

Alan Chan and Max Kaufmann–Model Evaluations, Timelines, Coordination

Max Kaufmann and Alan Chan discuss the evaluation of large language models, AI Governance and more generally the impact of the deployment of foundational models. Max is currently a Research Assistant to Owain Evans, mainly thinking about (and fixing) issues that might arise as we scale up our current ML systems, but also interested in issues arising from multi-agent failures and situational awareness. Alan is PhD student at Mila advised by Nicolas Le Roux, with a strong interest in AI Safety, AI Governance and coordination. He has also recently been working with David Krueger and helped me with some of the interviews that have been published recently (ML Street talk and Christoph Schuhmann). Disclaimer: this discussion is much more casual than the rest of the conversations in this podcast. This was completely impromptu: I just thought it would be interesting to have Max and Alan discuss model evaluations (also called “evals” for short), since they are both interested in the topic. Transcript: https://theinsideview.ai/alan_and_max Alan:   / _achan96_   Max:   / max_a_kaufmann   OUTLINE 00:00 Intro 00:46 Balancing Evaluations and Governance in AI Safety 10:30 Addressing Existential Risk Perception and AI Harms 21:20 AI Safety Concerns and Capability Development 32:34 AGI Timelines and Alignment Challenges 45:11 Building Bridges Between AI Safety and Fairness Communities 53:26 Understanding Risks and Cooperation in AI Safety 1:01:24 Alan's Journey into AI Safety Research