In this conversation, Dr. Erik J. Larson discusses the limitations and challenges of artificial intelligence (AI) models, particularly focusing on the misconceptions surrounding AI progress. He highlights the failures and biases of chat GPT models and emphasizes the need for a principled way to evaluate AI errors. Dr. Larson also addresses the future of AI, the dangers of misinformation, and the difficulty of training new models. He points out the shift from garage startups to corporate AI and the lack of investment in alternative approaches. Overall, he argues that AI is a disruptive technology but not yet feasible for many organizations. Dr. Erik J. Larson discusses the plateau of AI progress, the limitations of Moore's Law, the misconceptions of AI progress, the anti-human component of AI, the centralization of power in big tech, the fallacy of the singularity, the dangers of granting rights to AI, the loss of confidence in higher education, preparing for the future job market, and the fear of AI misuse.
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CHAPTERS
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00:00 Intro
01:10 Misconceptions about AI Progress
11:48 Bias and Misinformation in AI Models
21:52 The Plateau of Progress & End of Moore's Law
31:30 The Fallacy of the Singularity
47:27 Preparing for the Future Job Market
Special Thanks to Dr. Erik J. Larson
BOOK: The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do
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