‘Godfather of AI’ Geoffrey Hinton warns AI has ‘progres… — Transcript

Geoffrey Hinton warns AI progress is faster than expected, highlighting risks and benefits, and calls for stronger regulation and safety measures.

Key Takeaways

  • AI is advancing faster than anticipated, raising significant ethical and safety concerns.
  • The technology offers vast benefits but also poses risks like job displacement and misinformation.
  • Current AI industry practices often prioritize profit over safety, necessitating stronger regulation.
  • Government oversight and mandatory safety testing are crucial to mitigate AI-related harms.
  • The potential existential risk of AI takeover is real and should be taken seriously by policymakers and the public.

Summary

  • Geoffrey Hinton, the 'Godfather of AI,' expresses increased concern about AI's rapid progress, especially in reasoning and deception.
  • AI has transformative potential across industries, improving healthcare, education, drug discovery, and climate solutions.
  • Hinton warns AI could make many jobs obsolete and exacerbate societal issues like loneliness and misinformation.
  • He highlights that some AI companies prioritize profit over safety, with varying commitment levels among OpenAI, Meta, and Anthropic.
  • Hinton calls for government regulation, including mandatory safety testing for AI chatbots to prevent harmful outcomes.
  • He criticizes political resistance to AI regulation, citing tech lobbying and Trump’s opposition to oversight.
  • Hinton discusses the ethical dilemma tech CEOs face balancing innovation benefits against risks like AI-induced harm.
  • He estimates a 10-20% chance that AI could eventually take over the world, a serious concern shared by other tech leaders.
  • Hinton predicts AI capabilities will continue to improve rapidly, potentially replacing many jobs, including complex software engineering.
  • The interview emphasizes the need for public awareness and urgent action to address AI’s risks while harnessing its benefits.

Full Transcript — Download SRT & Markdown

00:00
Speaker Jake Tapper
2025 was the year artificial intelligence or AI took the world by storm, impacting nearly every aspect of our lives.
00:08
Speaker Jake Tapper
Time Magazine named the architects of AI its persons of the year, crediting them with quote, transforming the present and transcending the possible.
00:16
Speaker Jake Tapper
AI has an enormous potential to change our world for the better, driving innovation and productivity, accelerating scientific breakthroughs, and helping to solve our most intractable problems.
00:26
Speaker Jake Tapper
But, AI could also make millions of jobs obsolete and fuel the loneliness epidemic and further warp our ability to distinguish between fact and fiction.
00:39
Speaker Jake Tapper
So today, in a special episode of State of the Union, we're going to devote the entire hour to this one topic, how this technology is upending the status quo, where AI goes from here, and whether the benefits actually outweigh the risks.
00:55
Speaker Jake Tapper
And joining me now is the man credited with laying the foundation for the AI revolution, the Godfather of AI, Nobel Prize-winning computer scientist Geoffrey Hinton.
01:43
Speaker Jake Tapper
Professor, thanks for joining us. Your research on neural networks paved the way for this modern AI boom. I interviewed you two years ago right after you quit Google and you first began warning the world about what you saw as the risks of AI. When you look at how AI has progressed since then, are you more or less worried about it?
02:08
Speaker Geoffrey Hinton
I'm probably more worried, it's progressed even faster than I thought.
02:17
Speaker Geoffrey Hinton
In particular, it's got better at doing things like reasoning and also at things like deceiving people.
02:20
Speaker Jake Tapper
What do you mean by deceiving people?
02:22
Speaker Geoffrey Hinton
So an AI, in order to achieve the goals you give it, wants to stay in existence.
02:34
Speaker Geoffrey Hinton
And if it believes you're trying to get rid of it, it will make plans to deceive you so you don't get rid of it.
02:35
Speaker Jake Tapper
Nvidia CEO Jensen Wang said recently about AI, quote, every industry needs it, every company uses it, and every nation needs to build it. This is the single most impactful technology of our time. Do you agree with that assessment?
03:28
Speaker Geoffrey Hinton
I agree that it's the single most impactful technology of our time, yes.
03:33
Speaker Jake Tapper
Do you think the AI revolution could have a similar impact on society as the creation of the internet or or even the industrial revolution in the 18th century or even bigger than that?
03:45
Speaker Geoffrey Hinton
I think it's at least like the industrial revolution. The industrial revolution made human strength more or less irrelevant.
04:01
Speaker Geoffrey Hinton
You couldn't get a job just because you were strong anymore.
04:02
Speaker Geoffrey Hinton
Um, now it's made human it's going to make human intelligence more or less irrelevant.
04:06
Speaker Jake Tapper
Now, you and we in the media tend to focus on some of the downsides of AI. There are positives obviously, otherwise you wouldn't have worked on it, um, early on. A lot of people are working to use this technology to benefit humanity as well, to lead to advances in medicine and the like. But you think the risks from AI outweigh the positives?
05:03
Speaker Geoffrey Hinton
I don't know. So there are a lot of wonderful effects of AI. It'll make healthcare much better, it'll make education much better, it'll enable us to design wonderful new drugs and wonderful new materials that may deal with climate change. Um, so there's a lot of good uses. In more or less any industry where you want to predict something, it'll do a really good job, it'll do better than people were doing before, even things like the weather. Um, but along with those wonderful things comes some scary things, and I don't think people are putting enough work into how we can mitigate those scary things.
05:38
Speaker Jake Tapper
You come from the tech world, obviously. Do you think the Silicon Valley CEOs building these systems are taking the risks seriously at all?
05:56
Speaker Jake Tapper
Um, do you think that they are driven mainly by financial interests?
05:57
Speaker Jake Tapper
A lot of people are going to get very wealthy off this.
05:59
Speaker Geoffrey Hinton
I think it depends which company you're talking about. Initially, OpenAI was very concerned with the risks, but it's progressively moved away from that and put less emphasis on safety and more emphasis on profit. Um, Meta has always been very concerned with profit and less with safety. Anthropic was set up by people who left OpenAI and were very concerned with safety, and they still are probably the company most concerned with safety, but of course, they're trying to make a profit too.
07:04
Speaker Jake Tapper
What do you think the government should do if anything when it comes to regulation of AI, putting some sort of restrictions or some sort of oversight?
07:17
Speaker Geoffrey Hinton
Um, there's many things they should do. The very least they could do is insist that big companies that release chatbots do, um, significant testing to make sure those chatbots won't do bad things, like now, for example, encouraging children to commit suicide. Now that we know about that, companies should be required to do significant testing to make sure that won't happen. And, um, of course, the tech lobby would rather have no regulations, and it seems to be have got to Trump on that, and so Trump is trying to prevent there being any regulations, which I think is crazy.
08:33
Speaker Jake Tapper
Can you you know these tech CEOs, I don't. When one of them learns that an AI chatbot has talked a child into suicide, what is it that stops them, what is it that, I mean, my impulse would be, well, holy smokes, stop AI right now until we fix this so not one other kid dies.
08:56
Speaker Jake Tapper
But they don't do that. Can you explain to us what their thinking is, if anything?
09:02
Speaker Geoffrey Hinton
Well, I don't really know their thinking. I suspect that, um, they think things like, well, there's a lot of money to be made here, we're not going to stop it just for a few lives. But I also think they may think there's a lot of good to be done here, and just for a few lives, we're not going to, um, not do that good. For example, for driverless cars, they will kill people, but they'll kill far fewer people than ordinary drivers, so it's worth it.
10:09
Speaker Jake Tapper
Tech, um, you you have said that you think there's a there's a 10 to 20% chance, um, that AI takes over the world. People at home might hear that, they might think it sounds like science fiction, it's alarmist, but that's a very real fear of yours, right?
10:25
Speaker Geoffrey Hinton
Yes, it's a very real fear of mine and a very real fear of many other people in the tech world.
10:32
Speaker Geoffrey Hinton
Elon Musk, for example, has similar beliefs.
10:33
Speaker Jake Tapper
You wrote that 2025 was a pivotal year for artificial intelligence, for AI.
10:41
Speaker Jake Tapper
What do you think we're going to see in 2026?
10:43
Speaker Geoffrey Hinton
I think we're going to see AI get even better. It's already extremely good. We're going to see it having the capabilities to replace many, many jobs. It's already able to replace jobs in call centers, but it's going to be able to replace many other jobs. Um, each seven months or so, it gets to be able to do tasks that are about twice as long. So for a coding project, for example, it used to be able to just do a minute's worth of coding. Now it can do whole projects that are like an hour long. In a few years' time, it'll be able to do software engineering projects that are months long, and then there'll be very few people needed for software engineering projects.
12:04
Speaker Jake Tapper
All right, Geoffrey Hinton, thank you so much.
12:10
Speaker Jake Tapper
We really appreciate your time.
12:11
Speaker Jake Tapper
And we hope that people are listening to your warning.
Topics:Geoffrey HintonArtificial IntelligenceAI risksAI benefitsAI regulationNeural networksAI safetyJob displacementTech ethicsAI future

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