Send us a text The Causal Gap: Truly Responsible AI Needs to Understand the Consequences Why do LLMs systematically drive themselves to extinction, and what does it have to do with evolution, moral reasoning, and causality? In this brand-new episode of Causal Bandits, we meet Zhijing Jin (Max Planck Institute for Intelligent Systems, University of Toronto) to answer these questions and look into the future of automated causal reasoning. In this episode, we discuss: - Zhijing's new work on...
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Send us a text The Causal Gap: Truly Responsible AI Needs to Understand the Consequences Why do LLMs systematically drive themselves to extinction, and what does it have to do with evolution, moral reasoning, and causality? In this brand-new episode of Causal Bandits, we meet Zhijing Jin (Max Planck Institute for Intelligent Systems, University of Toronto) to answer these questions and look into the future of automated causal reasoning. In this episode, we discuss: - Zhijing's new work on...
Causal Inference & Financial Modeling with Alexander Denev Ep 14 | CausalBanditsPodcast.com
Causal Bandits Podcast
1 hour 4 minutes
1 year ago
Causal Inference & Financial Modeling with Alexander Denev Ep 14 | CausalBanditsPodcast.com
Send us a textVideo version available here Are markets efficient, and if not, can causal models help us leverage the inefficiencies?Do we really need to understand what we're modeling?What's the role of symmetry in modeling financial markets?What are the main challenges in applying causal models in finance?Ready to dive in? About The GuestAlexander Denev is the CEO of Turnleaf Analytics. He's an author of multiple books on financial modeling and a former Head of AI (Financial Services) at Del...
Causal Bandits Podcast
Send us a text The Causal Gap: Truly Responsible AI Needs to Understand the Consequences Why do LLMs systematically drive themselves to extinction, and what does it have to do with evolution, moral reasoning, and causality? In this brand-new episode of Causal Bandits, we meet Zhijing Jin (Max Planck Institute for Intelligent Systems, University of Toronto) to answer these questions and look into the future of automated causal reasoning. In this episode, we discuss: - Zhijing's new work on...
