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In Episode 64 of The Atomic Exchange Podcast, co-hosts Dr. Goran Calic and Michael Tadrous discuss artificial intelligence, what it actually does, and why that matters. Drawing on the idea that AI is best understood not as magic or true intelligence but as a prediction machine, they explore how falling prediction costs change the value of judgment, action, and business decision-making. They also examine the supply side of AI, including why AI differs from earlier software models, and how inference and training create real capacity constraints. Tune in for a thoughtful discussion on AI, business strategy, and the economic logic shaping the next phase of technological change.
By Goran Calic and Michael Tadrous5
22 ratings
In Episode 64 of The Atomic Exchange Podcast, co-hosts Dr. Goran Calic and Michael Tadrous discuss artificial intelligence, what it actually does, and why that matters. Drawing on the idea that AI is best understood not as magic or true intelligence but as a prediction machine, they explore how falling prediction costs change the value of judgment, action, and business decision-making. They also examine the supply side of AI, including why AI differs from earlier software models, and how inference and training create real capacity constraints. Tune in for a thoughtful discussion on AI, business strategy, and the economic logic shaping the next phase of technological change.

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