Google DeepMind’s Jeff Dean Says AI Models Already Outperform Humans in Most Tasks

 

With artificial intelligence evolving rapidly, the biggest debate in the AI community is whether advanced models will soon outperform humans in most tasks—or even reach Artificial General Intelligence (AGI). 

Google DeepMind’s Chief Scientist Jeff Dean, while avoiding the term AGI, shared that today’s AI systems may already be surpassing humans in many everyday activities, though with some limitations.

Speaking on the Moonshot Podcast, Dean remarked that current models are "better than the average person at most tasks" that don’t involve physical actions.

"Most people are not that good at a random task if you ask them to do that they've never done before, and you know some of the models we have today are actually pretty reasonable at most things," he explained.

However, Dean also cautioned that these systems are far from flawless. "You know, they will fail at a lot of things; they're not human expert level in some things, so that's a very different definition and being better than the world expert at every single task," he said.

When asked about AI’s ability to make breakthroughs faster than humans, Dean responded: "We're actually probably already you know close to that in some domains, and I think we're going to broaden out that set of domains." He emphasized that automation will play a crucial role in accelerating "scientific progress, engineering progress," and advancing human capabilities over the next "five, 10, 15, 20 years."