E67: AI Myths - Explained by AI Scientist

AI scientist Erik J. Larson explains why today's large language models, including ChatGPT, may impress but still fall far short of true artificial intelligence—and how that misunderstanding threatens culture, knowledge, and innovation.

Guest Bio: Dr. Erik J. Larson is an AI scientist, tech entrepreneur, and author of The Myth of Artificial Intelligence, known for his critical insights into generative models and their cultural impact, shared through his Substack Colligo.

Topics Discussed:

• Why ChatGPT doesn’t invalidate The Myth of AI
• The illusion of intelligence in generative models
• Limits of AI progress due to compute, data, and physics
• Dangers of AI bias and epistemological collapse
• Sam Altman’s techno-utopian vision vs. reality
• Deepfakes, misinformation, and the fragility of truth
• Decline of human-centered innovation and education
• Why the path to AGI may be a dead end

Top 3 Quotes:

• “It’s actually easier to screw the world up with this tech than it is to stop it.”
• “We're walking into a trap as we think we're innovating.”
• “Calling it ‘intelligence’ was one of the first really bad ideas.”

🎙 The Pod is hosted by Jesse Wright
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