Demis Hassabis says AI's next leap to AGI will require fixing a key flaw: consistency.

Demis Hassabis warns AGI is still years away, as advanced AI models excel in complex tasks but falter in simple reasoning.

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 ...

Google DeepMind’s Genie 3 generates interactive 3D worlds to prepare A.I. agents for real-world tasks and move closer to AGI.

Startup Character.AI once promised superintelligence. Its new CEO says it's now an entertainment company with 20 million ...

The latest example of trouble resulting from this definitional confusion comes from the deteriorating relationship between Microsoft and OpenAI. According to The Wall Street Journal, the two companies ...

Google DeepMind's CEO, Demis Hassabis, recently discussed the implications of AI in the future, further indicating that AGI ...

Google DeepMind CEO Demis Hassabis says companies are far from achieving AGI, as even their advanced models, such as Google's ...

The Impact on AGI Research The impact of this shift is evident in the lack of progress in AGI research. In 2019, Sholay and Mike Knoop created a competition called ARC-AGI with a prize of $1 million.

Google DeepMind lead researcher Dr. Nando de Freitas boldly declared that "the game is over" and that as we scale AI, so too will we approach AGI.

Google researchers found the transformer technology behind AI isn't very good at generalizing. "We shouldn't get too crazy about imminent AGI at this point," one AI expert told Insider.

But Tom Everitt, an AGI safety researcher at DeepMind, Google's AI division, says machines don't have to have a sense of self for them to have super intelligence.