Aditi Bharade

DeepMind’s CEO said there are still 3 areas where AGI systems can’t match real intelligence

True artificial general intelligence is on the way, but it still has some ways to go, said Google DeepMind’s CEO.

Speaking at an AI summit in New Delhi, Demis Hassabis was asked whether current AGI systems can match human intelligence. AGI is a hypothetical form of machine intelligence that can reason like people and solve problems using methods it was not trained in.

Hassabis’ short answer: “I don’t think we are there yet.”

He listed three areas where current AGI systems are falling short. The first was what he called “continual learning,” saying that the systems are frozen based on the training they received before implementation.

“What you’d like is for those systems to continually learn online from experience, to learn from the context they’re in, maybe personalize to the situation and the tasks that you have for them,” he said during the discussion.

Secondly, Hassabis said current systems struggle with long-term thinking.

“They can plan over the short term, but over the longer term, the way that we can plan over years, they don’t really have that capability at the moment,” he said.

And lastly, he said that the systems lack consistency. They’re adept in some areas and unskilled in others.

“So, for example, today’s systems can get gold medals in the international Math Olympiad, really hard problems, but sometimes can still make mistakes on elementary maths if you pose the question in a certain way,” he said. “A true general intelligence system shouldn’t have that kind of jaggedness.”

Humans, in comparison, would not make mistakes on an easy math problem if they were math experts, he added.

Hassabis said in a “60 Minutes” interview last year that true AGI would arrive in five to 10 years.

The executive cofounded DeepMind, an AI research lab, in 2010. The lab was acquired by Google in 2014 and is the brains behind Google’s Gemini. In 2024, Hassabis won a joint Nobel Prize in chemistry for his work on protein structure prediction.

AGI is a disputed topic in Silicon Valley. Databricks CEO Ali Ghodsi said at a September conference that current AI chatbots already meet the definition of AGI, but Silicon Valley leaders keep “moving the goalposts” and pushing toward superintelligence, or AI that can outthink humans.

The AI Summit in India, from Monday to Friday this week, has attracted big names from the tech and AI spheres. Notable speakers on the summit’s agenda include OpenAI CEO Sam Altman, Anthropic CEO Dario Amodei, Google CEO Sundar Pichai, and Meta’s chief AI officer, Alexandr Wang.




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Im-a-Stanford-student-who-uses-the-new-dating-app.jpeg

I’m a Stanford student who uses the new dating app that’s taken the campus by storm. It’s fun, but I haven’t met my match yet.

This as-told-to essay is based on a conversation with Mila Wagner-Sanchez, a freshman at Stanford Univeristy, who uses Date Drop, a new dating app created by Henry Weng, a Stanford senior. It has been edited for length and clarity.

I’m a 19-year-old freshman at Stanford University. I wasn’t sure what to expect on campus — whether people would be actively dating or not. I have friends on both sides of the spectrum; some are more focused on school and friendships, and some are in relationships.

But I initially found Date Drop through my friends.

It was one of those week one things — everyone was getting to know each other, and we all decided it could be fun if we signed up together.

Date Drop has interesting dating app features

I’ve never been on a dating app like Hinge or Tinder, but I was surprised by the complexity of the questions that Date Drop asked. The questions on Date Drop were like: “What do you do for fun,” “What are you doing academically,” “Do you have any age, height, or ethnicity preferences,” and so on.

It also asked whether you preferred long-term or short-term relationships, and how many kids you wanted. It was very comprehensive. There was even an open-ended question asking me to describe my perfect date.

Anyone on campus can sign up — from freshmen to seniors to grad students. We have another similar platform on campus called Marriage Pact that matches once a year, but Date Drop matches weekly.

Also, if you want to get to know someone, you can enter their info, or if you want to try to match two people, you can influence the algorithm. For example, you can play matchmaker and enter the info for two people across the hall from each other that you want matched. It never tells you who has put you into Date Drop; it’ll say that someone has “shipped” you with someone else.

I got matched twice

The first time, I was matched with a friend of mine, which was fun. We treated it as a friend date and went out to get coffee at a coffee shop that was giving out free drinks to Date Drop dates.

I was matched a second time, but that person didn’t reach out, so it went nowhere.

After that, I had other stuff going on, like midterms that I needed to focus on, and Date Drop had kind of lost its novelty. Most of my friends had a similar experience.

I’d be open to doing it again

Stanford is smaller, so I think it’s easier to get to know people than it is at a state school. There’s more of a community, and the chances of you knowing a friend who knows your Date Drop or a friend of a friend are high. A lot of people have similar interests, which makes it easier to strike up a conversation than it might be at a bigger school.

Our generation has grown up on online platforms and sees them as a way to connect with others. It’s definitely a culture shift. I also think it’s not bad to try something new. You never know what’s going to happen, and I think a lot of us go into it with that mentality.

While I didn’t find a match, I’d be open to doing it again in the future. I do know a couple of Date Drop couples. I’d do it again if it were something my sophomore year dorm wanted to do together, as a way to get out there and meet people.




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