Financial trading as a game
In this episode of the AI Podcast, host Ather Gattami interviews Michal Sustr, co-founder of EquiLibre, a company that uses game theory and reinforcement learning for trading.
Michal discusses the company's approach to trading, which is based on the idea that markets can be modelled as games. He explains that EquiLibre uses game theory to develop algorithms which can predict the behaviour of other traders and make profitable trades.
Ather and Michal also discuss the future of AI, and Sustr predicts that large language models (LLMs) will continue to be a major area of research in the coming years. Michal believes that LLMs will eventually be able to reason and solve problems in a way that is indistinguishable from human intelligence.
Hosted by Ather Gattami, AI-podden has become a central voice in the Swedish conversation on artificial intelligence. This isn't a dry technical lecture; it's a series of grounded discussions that explore how these rapid technological shifts are reshaping our world in real time. Each episode brings in a different perspective, featuring guests from across the spectrum of society-from researchers and entrepreneurs to policymakers and cultural critics. You'll hear thoughtful analysis on the latest developments, but also practical conversations about ethics, societal impact, and the human stories behind the algorithms. Tuning into this podcast means getting a clearer, more nuanced picture of the forces defining our future, moving beyond the headlines to understand the true stakes and opportunities of AI. It’s that commitment to diverse, substantive dialogue that has made it one of the country's most popular listens in technology and news.
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