AGI: The Dream We Should Never Reach (Ep. 296)

AGI: The Dream We Should Never Reach (Ep. 296)

From Data Science at Home by Francesco Gadaleta

January 10, 2026 · 46 min · Episode 298

About this episode

Two AI experts discuss the potential dangers of pursuing AGI and the implications of the current hype cycle on the future of AI.

Also on YouTube Two AI experts who actually love the technology explain why chasing AGI might be the worst thing for AI's future—and why the current hype cycle could kill the field we're trying to save. Want to dive deeper? Head to datascienceathome.com for detailed show notes, code examples, and exclusive deep-dives into the papers we discuss. Subscribe to our newsletter for weekly breakdowns of cutting-edge research delivered straight to your inbox—no fluff, just science! 📧 Join the conversation! Our Discord community is full of ML engineers, researchers, and AI enthusiasts discussing papers, sharing projects, and helping each other level up. Whether you're debugging your first neural net or training your tenth transformer, there's a place for you. Link in the show notes! 💬 Newsletter https://datascienceathome.substack.com/subscribe Website https://datascienceathome.com References CEO is obsolete AI is the new blockchain Dr Eliseo Ferrante NYU https://nyuad.nyu.edu/en/academics/divisions/science/faculty/eliseo-ferrante.html

People in this episode

Host: Francesco Gadaleta

Topics covered

  • AGI
  • AI technology
  • hype cycle
  • machine learning
  • future of AI

Keywords

  • AGI
  • AI experts
  • hype cycle
  • machine learning
  • neural networks
  • transformers
  • AI future

Mentioned in this episode

Organizations: NYU

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