Demis Hassabis warns A.I.’s uneven reasoning limits progress toward AGI, despite breakthroughs like AlphaFold and Olympiad-level math performance.

What researchers have built, he acknowledged, uses some of the same principles as biological intelligence.

Current systems cannot learn continuously or plan long-term, and they lack consistency, said Demis Hassabis.

Today's AI systems are impressive but they still have many flaws, with consistency being a crucial one, Demis Hassabis has ...

At the ongoing India AI Impact Summit 2026, held at Bharat Mandapam, New Delhi, Sir Demis Hassabis, CEO and Co-founder of Google DeepMind spoke at length about how while AI is advancing rapidly, the ...

Artificial general intelligence (AGI) is still about five to eight years away and systems must be trained further to have the capability to learn on their own, said Demis Hassabis, chief executive ...

Chief executives rarely admit to watching the daily swings in their company’s share price. Archil Gachechiladze, however, has ...

AI Systems still can’t continuously learn and train themselves, and are quite inconsistent... They also possess a sort of ...

Hassabis said that even though today’s AI models are very impressive, they still have many flaws, such as a lack of ...

Google DeepMind CEO Demis Hassabis believes true Artificial General Intelligence (AGI) is still distant, citing limitations in continual learning, long-term reasoning, and consistency. He stated ...

CEO Demis Hassabis noted that tech is 'not there yet' when it comes to artificial general intelligence as there are certain things it still can’t do ...