Speaker 1: Bloomberg Audio Studios, podcasts, radio news. We want to welcome
Speaker 1: our global audience across Bloomberg Radio and television Open AI.
Speaker 1: It's released GPT five. It's most advanced model yet. The
Speaker 1: company says it offers key improvements in major areas like reliability, accuracy,
Speaker 1: and there's the strongest generator of AI model yet in
Speaker 1: coding and writing and health.
Speaker 2: For more.
Speaker 1: We bring in Brad lightcap Open AI COO and this
Speaker 1: feels so primed for enterprise adoption. Brad, when I think
Speaker 1: of writing, when I think of coding, what is the
Speaker 1: opportunity there?
Speaker 3: Yeah, well, good morning, thanks for having me. GBT five
Speaker 3: is a significant step forward in a few different domains.
Speaker 3: So you mentioned coding, you mentioned writing in health for
Speaker 3: consumers and medical professionals, and we think that opportunity unlocks
Speaker 3: an amazing set of things in the enterprise that now
Speaker 3: become possible.
Speaker 4: It's a much more reliable model.
Speaker 3: So it's better at things like calling tools, it's better
Speaker 3: at things like structured thinking and reasoning, problem solving. And
Speaker 3: what we see in the enterprise is when you make
Speaker 3: these core capabilities better, the number of use cases enterprises
Speaker 3: can adopt these models for.
Speaker 4: Increases and so coding being significant.
Speaker 3: It really is the language of computers and that was
Speaker 3: a significant area of demand for us when we were
Speaker 3: talking to customers about what they wanted in this model.
Speaker 1: I mean, PhD level is what many are calling it,
Speaker 1: well what Sam is calling it, and I'm sure yourself.
Speaker 1: What's interesting is when you've got seven hundred million weekly
Speaker 1: users of chatchipt, how much is that a funnel a
Speaker 1: read across into enterprise? How much you could get the
Speaker 1: inbound because ultimately the people in the old workforce are
Speaker 1: already using it.
Speaker 3: Well, really early on when we launched chat GPT, what
Speaker 3: we found is I think, you know, a number of
Speaker 3: months after we launched it, I think something like ninety
Speaker 3: two percent of the Fortune five hundred we're actively using
Speaker 3: chatchipt or people at ninety two percent of the Fortune
Speaker 3: five hundred were actively using it. And so it was
Speaker 3: very obvious for us we needed to go build a
Speaker 3: work product because I think chatchapt as a product is
Speaker 3: as useful in an enterprise environment, in a work environment
Speaker 3: as it is in your personal life. It's an amazing
Speaker 3: companion if you do anything from marketing to software engineering
Speaker 3: to data analysis and research and I think there was
Speaker 3: a lot of organic adoption when people discovered the tool,
Speaker 3: realizing that it could make people much better at their
Speaker 3: jobs and able to do more. And so we really
Speaker 3: leaned in with that and we're trying to build the
Speaker 3: best product we can.
Speaker 1: It's like one tenth of the planet using chatchypt Brad.
Speaker 1: But I'm interested in some analysis that Meno Ventures has done.
Speaker 1: They've analyzed the LLLM market, particularly in the enterprise space,
Speaker 1: and they've just tried to push back saying, look, you
Speaker 1: lost the market share. Open Ai went from fifty percent
Speaker 1: in the enterprise market share down to twenty five percent,
Speaker 1: and funny enough, the company that they back, which is anthropic,
Speaker 1: took the lead. What do you say to those of statistics,
Speaker 1: Is it something you're seeing within your own numbers.
Speaker 3: It's hard to measure these things. You know, you can
Speaker 3: find you can find measurements that that's the opposite. But
Speaker 3: what we really focus on is value for customers, Like
Speaker 3: we've got to deliver the absolute best models and then
Speaker 3: the absolute best products for developers, for startups, for enterprises
Speaker 3: large and small, and that's that's been our focus. I
Speaker 3: think you know, our API is a good example of
Speaker 3: where we've really invested lately. We've got over four million
Speaker 3: developers now actively using the API every day to build
Speaker 3: new products. We support thousands and thousands of startups that
Speaker 3: are building with us, that we work deeply with on
Speaker 3: trying to improve our product so that they can ultimately
Speaker 3: build a better product. And in the enterprise, I think,
Speaker 3: you know, the demand that we see there is really unabated.
Speaker 3: We grew chat GPT enterprise seats from three million seats
Speaker 3: to five million seats in a matter of two months,
Speaker 3: and so that growth is accelerating and we're just starting
Speaker 3: to scratch the surface I think on the impact that
Speaker 3: we can have both for developers and for enterprises. So
Speaker 3: we see it as a long game and you know,
Speaker 3: we're here to just do our best for customers.
Speaker 1: For that, BOYD, you need infrastructure.
Speaker 2: Tell us a little bit about the costs of training
Speaker 2: this model and how you're looking to expand with stargate
Speaker 2: the project, and just been talking about how SoftBank's been
Speaker 2: teaming up with fox Con, for example, to take over
Speaker 2: an ohio ev plant. How is that continuing to meet
Speaker 2: your demands or not meet them as the case may be.
Speaker 3: Well, yeah, we've seen demand for AI increase at just
Speaker 3: a torrid pace. Obviously, at the root of that is
Speaker 3: getting right the infrastructure equation, and we think ultimately that's
Speaker 3: going to be a critical input to the US and
Speaker 3: its allies.
Speaker 4: Being competitive in this area.
Speaker 3: And so Stargate for US was a five hundred billion
Speaker 3: dollar project to invest here in the United States to
Speaker 3: build AI infrastructure for open AI and ultimately for the country.
Speaker 3: We're working with a lot of great partners on that
Speaker 3: project and hope to bring in more and I think,
Speaker 3: you know, that's just the beginning. We're going to continue
Speaker 3: it to invest aggressively. We've always found ourselves somewhat on
Speaker 3: the wrong side of the demand curve for AI, you know,
Speaker 3: despite the investment, significant investment to date, and so for
Speaker 3: as long as we see demand, we're going.
Speaker 4: To continue to invest aggressively.
Speaker 3: AI is interesting in that the more you invest and
Speaker 3: the more you make it available, the more you make
Speaker 3: it you know, cost cost approachable for enterprises and for consumers,
Speaker 3: the more people want to use it. So it's an
Speaker 3: amazing trend and we'll continue to invest behind it.
Speaker 1: We're speaking with Brad Lightcap of open Ai, the CEO
Speaker 1: for our radio and TV audience is Brad. How has
Speaker 1: the rollout ultimately been Do you think because so many
Speaker 1: people wanted to use the app that maybe we hit
Speaker 1: limits quicker than some anticipated.
Speaker 3: Well, we're trying our best to keep up with demand.
Speaker 3: Serving infrastructure at scale at seven hundred million users and
Speaker 3: then millions of developers and many many billions of tokens
Speaker 3: per minute that we process is not for the faint
Speaker 3: of heart. Thankfully, I don't have to do that part
Speaker 3: of it. But we're doing our best to make sure
Speaker 3: the rollout is successful and we're hoping that by the
Speaker 3: end of the week here everyone gets access.
Speaker 1: Your job description is more about building the enterprise relationships
Speaker 1: and partnerships. I also think about the partnership you have
Speaker 1: in Microsoft and Sati and Adela is out there really
Speaker 1: talking about integrating already and how excited he was for
Speaker 1: the product, but there's a tension in the relationship there.
Speaker 1: I'm interested in what you think the progress being made.
Speaker 1: Sam Alman was on Networks talking about progress being made
Speaker 1: with a relationship going forward. Microsoft, can you give us
Speaker 1: a timeline about when you think a deal will be
Speaker 1: done in the future of how they interact with your product?
Speaker 2: And were broadly how.
Speaker 1: Much ownership they continue to have in the business as
Speaker 1: a for profit one.
Speaker 3: Yeah, Well, we feel really positive about the relationship with
Speaker 3: Microsoft and they've they've been a great partner throughout the history.
Speaker 4: Of open Ai.
Speaker 3: They've been with us from the beginning really since before
Speaker 3: chat Ept obviously have been a huge infrastructure partner for
Speaker 3: us with Azure, and.
Speaker 4: So we continue we expect that to continue.
Speaker 3: We see we see no future that you know of
Speaker 3: open ai that doesn't include Microsoft in a significant way.
Speaker 3: We've got to work on what that future looks like together.
Speaker 3: We're in that process with them right now. We feel
Speaker 3: very good about it. But we think also ultimately there's
Speaker 3: you know, the world is really big, and the demand
Speaker 3: for these systems and these models in the enterprise and
Speaker 3: consumer is significant, and so they represent not only an
Speaker 3: infrastructure partner for us, but a great partner to be
Speaker 3: able to help distribute and bring the benefits of the
Speaker 3: technology to the world given the size of their footprint.
Speaker 4: So, you know, more to work through there, But we
Speaker 4: feel good about it.
Speaker 3: And like I said, I think you know, when we're
Speaker 3: standing at the finish line of all this, they'll be
Speaker 3: there with us.
Speaker 1: Meanwhile, the stuff of Suliman over at Microsoft is busy
Speaker 1: in the tussle for talent, so to plenty of other
Speaker 1: rivals that we understand, Mark Zuckerberg busy. And what's interesting
Speaker 1: is while you, as one of those long tenured employees
Speaker 1: and staff over at open Ai, remain committed because of
Speaker 1: innovations such as this, But what about the liquidity that
Speaker 1: we're talking about bringing to some of your well people
Speaker 1: that you work alongside. How is that going? We understand
Speaker 1: they might be even a five hundred billion dollar valuation
Speaker 1: involved in what is a secondary sale of your shares
Speaker 1: to the likes of Thrive Capital.
Speaker 3: Yeah, well, nothing there to share here, But we continue
Speaker 3: to see very healthy demand for on the investors side
Speaker 3: for wanting to be I think part of the Opening
Speaker 3: Eye journey and mission and we're very grateful for that.
Speaker 3: And on the talent side, look, I think you know,
Speaker 3: Opening Eye was founded as a nonprofit. It was founded
Speaker 3: as a mission driven company to be able to build
Speaker 3: you know, general intelligence that's beneficial for all of humanity,
Speaker 3: and we haven't strayed from that mission. I think ultimately
Speaker 3: that's what attracts talent is people want to work for
Speaker 3: a project that's bigger than themselves and something that's going
Speaker 3: to be impactful for us and for you know, for
Speaker 3: for for humanity and our species. And so I think
Speaker 3: that's the thing that ultimately attracts people to where they work. Obviously,
Speaker 3: like it's a competitive market and we continue to compete.
Speaker 3: But at the end of the day, when we ask
Speaker 3: people what it is that keeps them at opening, I
Speaker 3: it's the mission.
Speaker 4: The mission.
Speaker 1: At the moment, you've got something that's generally intelligence, but
Speaker 1: it's not artificial general intelligence.
Speaker 4: Brad, when do you get there?
Speaker 3: Briefly, you know, I've sworn off making predictions in AI.
Speaker 3: It's too hard, the curves are too steep. But I think,
Speaker 3: you know, we feel really good about the rate of progress.
Speaker 3: GPT five is a great representation of how we start
Speaker 3: to make progress on little things, you know, things like
Speaker 3: for example, being able to have the model dynamically reason
Speaker 3: and decide how much it wants to think about the
Speaker 3: problem that you ask it to solve. That's something that
Speaker 3: we do natively as humans that previously our models couldn't do.
Speaker 4: So it's these little steps forward that we.
Speaker 3: Think accumulated and ultimately get us to something that will
Speaker 3: be truly remarkable.
Speaker 1: I'd like cap talking about the latest GPT five. We
Speaker 1: thank you so much, CEO of open Ai,