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What happens when artificial intelligence begins to evolve on its own? Blaise Agüera y Arcas, a leading researcher at Google DeepMind, explores the possibility of self-improving AI—systems that enhance their own capabilities without human input.
Host Robert Lawrence Kuhn asks about recent claims from Meta researchers who say their AI models are learning autonomously, as well as new theoretical frameworks for recursive self-improvement. Could these developments mark a turning point in the evolution of intelligence itself?
Watch more CTT Chats here: https://t.ly/jJI7e
Blaise Agüera y Arcas is VP and Fellow at Google Research, exploring AI, neural computing, and technology’s impact on society. He pioneered Federated Learning, on-device AI, and the Artists and Machine Intelligence program. Formerly at Microsoft, he helped create Bing Maps and Photosynth. Blaise is also an author and speaker on AI’s future.
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