AI is getting so good at science and math that people are now openly saying that it’s better than them at their ...

Demis Hassabis, Google Deepmind CEO, notes AI models like Gemini paradoxically struggle with basic math despite acing ...

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 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 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 ...