"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."
"Dario Amodei, the CEO of Anthropic, told an audience in Davos that AI models would replace the work of all software developers within a year and would reach "Nobel-level" scientific research in multiple fields within two years. He said 50% of white-collar jobs would disappear within five years.OpenAI CEO Sam Altman (who was not at Davos this year) has said we are already beginning to slip past human-level AGI toward "superintelligence", or AI that would be smarter than all humans combined."
A sharp split exists between views that current large language models (LLMs) are far from achieving human-level artificial general intelligence and views that they will soon match or exceed human intelligence. One view holds that existing LLM architectures are inadequate to reach human-like intelligence and require fundamentally different approaches. Another view forecasts rapid advances that could automate software development, enable Nobel-level scientific research, and eliminate a large share of white-collar jobs within a few years. The disagreement centers on technical feasibility, timelines, and likely near-term economic and societal impacts. The conflict shapes expectations for regulation and corporate strategy.
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