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Demis Hassabis says AI's next leap to AGI will require fixing a key flaw: consistency.
Demis Hassabis, Google Deepmind CEO, notes AI models like Gemini paradoxically struggle with basic math despite acing ...
Google DeepMind CEO Demis Hassabis pointed out that models like ‘Google Gemini’ still need to become more advanced to achieve ...
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 ...
Elon Musk said Google "currently has the highest probability of being the leader" in AI because it has the "biggest compute ...
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 DeepMind CEO Demis Hassabis has said that inconsistency in artificial intelligence (AI) is a major reason why AI can perform exceptionally well in some areas but still fail at simpler tasks.
Google DeepMind CEO Demis Hassabis identifies AI's inconsistent reasoning as a major obstacle to achieving Artificial General Intelligence (AGI). Despite excelling at complex problems, AI falters on ...
The challenge is not just to build better AI tools, but to ask harder questions about where they are taking us.
From romance to nuclear warfare, City AM's editorial team picks their best books of the summer, for some (unconventional) ...