Are we mistaking the remarkable skills of tools like ChatGPT with genuine intelligence? AI skeptic Gary Marcus pulls no punches when he warns that believing in the hype of generative AI models might be distracting us from building the type of AI future we actually want. Bilawal and Gary delve into the nuanced perspectives beyond the AI hype cycle, and try to find the common ground between healthy skepticism and techno-optimism.

For transcripts for The TED AI Show, visit go.ted.com/TTAIS-transcripts (http://go.ted.com/TTAIS-transcripts)    
00:00 The AI Hype Explosion: Techno-Optimists vs Doomers
03:48 AI Skepticism: Gary Marcus on the Limitations of Large Language Models
07:06 The AGI Debate: Is Artificial General Intelligence Really Coming Soon?
11:35 AI Mimicry vs. Understanding: The Dangers of Trusting AI Too Much
15:29 AI Hallucinations: Why More Data Isn't the Answer
17:40 Real AI Risks: Misinformation, Reliability, and Ethical Concerns
24:38 Combating AI Hype: How to Be Skeptical of AI News and Claims
26:35 Regulating AI: The Need for Pre-Deployment Testing and Auditing
32:02 The Future of AI: Combining Neural Networks with Symbolic Systems
36:35 The Future of AI: Combining Neural Networks with Symbolic Systems
38:29 End Credits