Some of the world’s best-known names in artificial intelligence descended on the small ski resort town of Davos, Switzerland, this week for the World Economic Forum (WEF).
AI dominated many of the discussions among corporations, government leaders, academics, and non-governmental groups. Yet a clear contrast emerged over how close current models are to replicating human intelligence and what the likely near-term economic impacts of the technology will be.
The large language models (LLMs) that have captivated the world are not a path to human-level intelligence, two AI experts asserted in separate remarks at Davos.
Demis Hassabis, the Nobel Prize-winning CEO of Google DeepMind, and the executive who leads the development of Google’s Gemini models, said today’s AI systems, as impressive as they are, are “nowhere near” human-level artificial general intelligence, or AGI.
Yann LeCun—an AI pioneer who won a Turing Award, computer science’s most prestigious prize,
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