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Demis Hassabis, Google Deepmind CEO, notes AI models like Gemini paradoxically struggle with basic math despite acing advanced Olympiad problems. This inconsistency, termed "artificial jagged ...
Demis Hassabis warns AGI is still years away, as advanced AI models excel in complex tasks but falter in simple reasoning.
Google DeepMind CEO Demis Hassabis says companies are far from achieving AGI, as even their advanced models, such as Google’s Gemini, can make basic mistakes despite excelling in complex tasks.
Google's Gemini is the first AI system to win gold at the International Mathematical Olympiad ...
Demis Hassabis says AI's next leap to AGI will require fixing a key flaw: consistency.
Google DeepMind CEO Demis Hassabis highlights AI inconsistency as a major hurdle to achieving Artificial General Intelligence (AGI). While AI excels in complex tasks, it falters in simpler ones, a ...
Is AI about to do to mathematical proofs what it’s already doing to coding? After all, the two have clear similarities: both are highly structured “languages” with clear conventions and restricted ...
Google DeepMind CEO Demis Hassabis pointed out that models like ‘Google Gemini’ still need to become more advanced to achieve the full capacity of Artificial General Intelligence (AGI).
Demis Hassabis, the CEO of Google DeepMind, pinpointed a significant obstacle in the path of Artificial General Intelligence (AGI) development. What Happened: Hassabis, in a recent episode of the ...
IMO 2025 saw AI models achieving Gold medal scores, raising questions about the future of mathematical problem-solving ...
A defining memory from my senior year of high school was a nine-hour math exam with just six questions. Six of the top scorers won slots on the U.S. team for the International Math Olympiad (IMO), the ...
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