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

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.

According to Google, the updated system uses large language models to more accurately detect ad placements associated with ...

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 ...

Wave Quantum are central figures in the quantum computing spotlight, I see a member of the "Magnificent Seven" as the ...

Google’s new AI-powered protections aim to cut wasted ad spend by filtering out fake clicks and ensuring campaigns reach real ...

The company has compiled a list of its most-wanted Meta engineers and researchers, part of an effort to be more competitive ...

Anthropic has broadened the AI competition in the U.S. federal government by offering its Claude models to all three branches ...

Today Inworld AI released Inworld Runtime - the first AI runtime engineered to scale consumer applications. It lets ...

Google DeepMind CEO Demis Hassabis pointed out that models like ‘Google Gemini’ still need to become more advanced to achieve ...

Google cites a 40% drop in invalid ad traffic from deceptive serving, helping protect budgets and keep billing clean for ...