Speaker A
With it for the last 24 hours. Joining us right now is the man who co-founded the company, CEO Sam Altman. Sam, it's great to see you, sir.
OpenAI CEO Sam Altman discusses GPT-5’s integrated experience, improvements in coding, healthcare applications, and AI safety challenges.
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Key Takeaways
- GPT-5 offers an integrated, single AI experience replacing multiple models.
- Significant advancements in coding and healthcare applications have driven enterprise and consumer adoption.
- Legal frameworks may need to evolve to protect sensitive AI interactions similar to medical privilege.
- AI safety is complex, requiring nuanced responses to potentially harmful queries.
- Society must engage with ethical challenges as AI becomes more capable and embedded in daily life.
What the video covers
- Sam Altman highlights GPT-5 as a unified system replacing multiple models for a seamless user experience.
- GPT-5 is smarter, faster, more intuitive, and particularly improved for coding tasks, driving strong enterprise adoption.
- Healthcare is a major use case, with significant improvements enabling users to manage and understand their medical data better.
- Altman emphasizes the need for legal protections similar to medical or legal privilege for sensitive AI interactions.
- The system is designed with safety parameters to balance educational value and prevent misuse, such as harmful content generation.
- GPT-5 can selectively assist with parts of a query that are safe while blocking harmful requests.
- The conversation touches on societal challenges and ethical considerations as AI capabilities grow.
- OpenAI is actively working on making GPT-5 more useful in browsers and practical applications.
- The interview underscores the evolving nature of AI safety and the importance of ongoing societal dialogue.
- Altman shares personal use cases and the company’s commitment to improving AI for both consumers and enterprises.
Chapters
- 00:00Introduction and App Development Challenges
- 00:45GPT-5 Overview and Integrated Experience
- 01:28Enterprise Adoption and Coding Improvements
- 02:20Healthcare Applications and User Data
- 03:30Privacy, Legal Protections, and Sensitive Data
- 05:10AI Safety and Handling Harmful Queries
- 05:52Ethical Challenges and Societal Implications
Full Transcript — Download SRT & Markdown
Speaker A
Good to see you, too. Thanks for having me. We've been trying to build, by the way, an app all morning.
Speaker A
I mean, GitHub right now, trying to build Joe Kernen, an app. Unsuccessfully. How's it going?
Speaker A
Well, I think you guys have done the right thing so far. I mean, I think that the code looks good. The problem is I can't get it to actually effectively play for me, if you will. I got to do
Speaker A
it in GitHub. I was actually trying to get OpenAI to actually build me a way to play it effectively in the browser, but I'm not there yet, so I still got
Speaker A
work to do that. But help us understand the distinction between where you think ChatGPT five is today versus where we were just even 48 hours ago.
Speaker A
Yeah. So you said a bunch of things. I'm a little smarter, it's faster, it's more intuitive. It's more useful in a bunch of ways. One of the biggest things, though, is it's an integrated single experience.
Speaker A
We built a system that can answer easy questions quickly. It can think for a long time and answer hard questions. And it's, you know, there's just one thing called GPT five. Now, instead of the long list of models we used
Speaker A
to have, it's much better for businesses and enterprises. The coding in particular is something that people have been really waiting for a great model for. So we're seeing super strong enterprise adoption of this. And yeah.
Speaker A
Well, so let me ask you, some people have called it an Anthropic killer, because one of the things that Anthropic, at least historically, has done well is the coding piece of this. How much of ChatGPT five was focused on the coding side
Speaker A
of things? We did, we did really want to improve on coding. That was, you know, an area that we heard consistently from consumers, from users, but businesses, enterprise, everything that we just weren't good enough. So we did put in a lot of effort
Speaker A
there, but it improved it. Lots of things. The other piece of it is health care. Lots of people ask it questions about their own health care, including myself.
Speaker A
What's the difference between before and after? And I'm curious how much, how much stuff do you put into the system?
Speaker A
Because sometimes I think to myself, I'll upload my, you know, reports from doctors and blood and this and that. And then I think, oh, I don't know if I should be doing that. What do you think?
Speaker A
So healthcare is, is maybe the area where there's the strongest improvement of, of any category. We have seen healthcare become a huge issue.
Speaker A
People use. As you said, people are putting in all their reports, everything they can, and it's become really important to people as a sort of a, you know, a way to get help with, with their entire healthcare journey. And I think people feel
Speaker A
a very, very big difference there. Healthcare is a huge fraction of the usage of ChatGPT. It's one of the largest categories. So I put everything in, you know, I know a lot of other people do too. I, I think
Speaker A
getting people better information on their healthcare and sort of the ability to make better decisions, that that seems really important. And I'm thrilled that we were able to make this better and definitely a huge user of it personally.
Speaker A
You know, one of the reasons I asked the question is, and I think you made a mention of it, maybe on a podcast recently was just this idea that ultimately, the information that we're inputting into systems like ChatGPT and by the way, into
Speaker A
search, if you were to do this on Google, are all quote unquote, discoverable at some point, if somebody were to either sue you or something they could come to, they could come to a company like yours and say,
Speaker A
give me everything. And we're now putting so much more into these systems because we're asking oftentimes relatively intimate questions or providing pretty intimate data.
Speaker A
Yeah. Look, I personally believe that society is likely to and I think should come to the conclusion at some point that we need something, some concept like we have, you know, medical privilege or legal privilege. And if you are asking
Speaker A
for this kind of advice, even though it's like a, you know, not a human doctor, but like an AI medical advisor, a lot of those same principles should apply. And that just the fact that you've asked ChatGPT to
Speaker A
analyze your medical records does not mean they should then be discoverable by a court, but they should be protected by the same standards. And I think as AI becomes more and more a part of people's lives, and the way
Speaker A
we get this kind of information, I think, I hope whatever that society will decide to extend similar legal protections.
Speaker A
Right. What do you think about safety? And I know that there's a lot of sort of different safety parameters built into this, certain types of questions that you'll answer, but you won't answer fully explain what that means.
Speaker A
So, you know, there's this question of like, if you ask ChatGPT to help you build a bomb, you know, should it should it do that? And there's educational value in that.
Speaker A
There's other ways to learn that you could be trying to learn it for a good reason. But if you're actually like, I'm going to go try to like, you know, really damage someone, obviously we don't want to enable you to do,
Speaker A
you know, cause like grievous harm in the world in a way that you couldn't without it, but a new thing that GPT five does is try to be smarter and help you with parts of a question that might be okay, and then not help
Speaker A
you with parts that are that could be used for significant harm. This is an evolving area.
Speaker A
Like the calls here are difficult. There's like a lot of a lot of principles. Sound easy in theory. And then there's like a lot of edge cases. But as AI becomes very capable, society is really going to have to wrestle
Speaker A
with these questions of, we want to bring the tremendous value and enable people to do things they never could before, and then the amount of
Topics:GPT-5OpenAISam AltmanAI safetyhealthcare AIenterprise AIcoding AIAI ethicsAI legal protectionsChatGPT
