The market claims artificial general intelligence (AGI) is near, but the science disagrees. The real debate is no longer about speed alone but also whether better world models and alternative architectures could change the path entirely. For executives, that gap matters: It determines where capital flows, which infrastructure succeeds, and how leaders separate genuine capability from market theater.

Join Cornell faculty Lutz Finger and Benjamin Goertzel, CEO of SingularityNet, for a grounded discussion on what AGI would actually require, why LLMs may automate large parts of the economy without becoming truly general, and why alternative paths remain important. The conversation will explore world models, symbolic reasoning, evolutionary learning, and the argument that today’s centralized AI race may reflect current algorithm choices more than any fixed law of progress.

Designed for an executive audience, this live session will be interactive, practical, and open to audience Q&A. If you want a sharper view of what AGI claims really mean for strategy, investment, and operating assumptions, this is a conversation not to be missed.
  • Why world models matter and what current approaches may still be missing
  • What alternative paths to AGI, beyond scaled LLMs alone, could mean for technical progress
  • How algorithm choices shape infrastructure concentration, competitive moats, and governance risk
  • What senior leaders should watch before accepting claims that AGI is already here

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