WEBVTT - Greylock Partners Partner Reid Hoffman Talks Our AI Future

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>Let's stick with tech. The impact of generative AI under

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<v Speaker 2>scrutiny as some investors question massive capex spending in the space.

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<v Speaker 2>Read Halfman, the co founder of Malice AI and author

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<v Speaker 2>of Superagency What could possibly go Right with our AI Future?

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<v Speaker 2>Joined us now read It's good to see you. I

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<v Speaker 2>said as you walked into the room. There's a book

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<v Speaker 2>I need to read What Could Go Right? Because I'm

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<v Speaker 2>very worried about what things could go wrong. Let's put

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<v Speaker 2>it that way. You in the book approach something really

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<v Speaker 2>important as we make these technological revolutions, these advancements over

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<v Speaker 2>human history. Actually it benefits human agency, and I'm worried

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<v Speaker 2>that maybe with AI it guys in a different direction.

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<v Speaker 2>Help me out and tell me why it could go right.

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<v Speaker 3>Well, the shorting answer is it gives you superpowers, right,

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<v Speaker 3>and it gives you superpowers across a large number of things.

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<v Speaker 3>Everyone should go try Chat, GPT, Inflections, Pie and Trapicsquad.

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<v Speaker 3>Give it a try. You can find what should I

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<v Speaker 3>make for dinner? How do I get medical advice that's

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<v Speaker 3>available to me? How I am I to have a

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<v Speaker 3>difficult conversation with a colleague, you know, how might I

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<v Speaker 3>actually do things in parenting that might be different? You know,

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<v Speaker 3>all of those things are are our superpowers that we get.

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<v Speaker 2>And each run. Lisa under the bus, I am, do

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<v Speaker 2>you want to share with the audience what you do?

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<v Speaker 4>You can manipulate what your kids look at if you

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<v Speaker 4>send them links to things that then change their algorithms

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<v Speaker 4>that then give them more news feeds in their in

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<v Speaker 4>their feed. I mean there are ways that you can

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<v Speaker 4>kind of play the system a little bit.

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<v Speaker 1>And I think that that's proper.

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<v Speaker 3>Yeah, exactly. And by the way it helps them learn,

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<v Speaker 3>it gets some news about the environment around them. I mean,

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<v Speaker 3>this is one of the things that is if you're

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<v Speaker 3>not actually in fact using these AI agents to learn

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<v Speaker 3>right now, you should. And like, for example, one of

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<v Speaker 3>the ways that I do when I approach a difficult subject,

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<v Speaker 3>say for example, quantum computing, I stick a technical paper

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<v Speaker 3>in and I say, explain this to me like I'm

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<v Speaker 3>twelve superpowers superpowers.

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<v Speaker 2>Yes, okay, So my next question is going to be

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<v Speaker 2>how should we participate and how we shake this intelligence?

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<v Speaker 2>And Lisa has given us one idea, could you give

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<v Speaker 2>us another time?

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<v Speaker 3>Well, I think part of the key thing is my

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<v Speaker 3>very first chapter is about chat GBT, where humanity enters

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<v Speaker 3>the chat. You got hundreds of millions of people who

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<v Speaker 3>are interacting with it, and the company watches what works

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<v Speaker 3>and what doesn't work and then improves it. So by

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<v Speaker 3>simply going and experimenting and getting which kind of things

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<v Speaker 3>are the things that help you elevate your agency, then

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<v Speaker 3>actually in fact helps the company know, oh, these things

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<v Speaker 3>really work, Oh these things need to be improved.

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<v Speaker 1>At the same time, you talk about technical papers, and

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<v Speaker 1>one thing that AI does really well is work with

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<v Speaker 1>technical details, not so much, the social not so much.

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<v Speaker 1>When you have to have certain biases that are baked

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<v Speaker 1>into some of these algorithms, what are the limitations to

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<v Speaker 1>this in sort of broad raised application at a time

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<v Speaker 1>where people are saying this could do qualitative jobs and

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<v Speaker 1>there could potentially be a lot of biases baked in.

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<v Speaker 3>So every major group is working intensely on biases. And actually,

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<v Speaker 3>one of the things that we did with inflection and

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<v Speaker 3>PIE personal intelligence PUN intended was to teach it to

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<v Speaker 3>be kind and empathetic, to have EQ as important as IQ.

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<v Speaker 3>And actually you see that now in anthropics Claude and

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<v Speaker 3>other things is it's kind of spreading, and so you

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<v Speaker 3>can actually have these kinds of interactions be trained in them,

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<v Speaker 3>and this is kind of reinforcement learning by human feedback

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<v Speaker 3>to actually be much better than your average human.

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<v Speaker 1>The reason why I find this so fascinating is because

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<v Speaker 1>I think about my children and what careers they potentially

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<v Speaker 1>could have, and I'm like, no, not programmer, because that's

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<v Speaker 1>going to be dead. You know, all of these other ones.

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<v Speaker 1>Probably if you can be empathetic human, those human skills

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<v Speaker 1>are probably going to be more needed. That's what people say.

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<v Speaker 1>Are you saying those two are going to go out

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<v Speaker 1>the waydo?

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<v Speaker 2>I mean?

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<v Speaker 1>What is this due to employment?

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<v Speaker 3>So first, I actually think programming skill jobs aren't going

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<v Speaker 3>out the door. I think there's human application, but I

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<v Speaker 3>think it's also human application of like EQ as well.

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<v Speaker 3>So the fact that you have a for example, say

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<v Speaker 3>a medical assistant that can help you with something, or

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<v Speaker 3>a coach that might be able to talk with something,

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<v Speaker 3>doesn't mean you don't want a human coach. It's more

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<v Speaker 3>coaches the better, right, and being able to make it work.

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<v Speaker 5>You're talking about AI for the good, but what about

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<v Speaker 5>AI in the hands of adversaries?

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<v Speaker 3>Well, so superpowers superpowers for terrorists, superpowers for criminals, superpowers

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<v Speaker 3>for rogues states. That's one of the things that we

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<v Speaker 3>need to be careful about how we navigate. Once again,

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<v Speaker 3>all of the major groups actually have security groups that

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<v Speaker 3>are working on this to try to make sure and

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<v Speaker 3>that's I think part of the having call so called

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<v Speaker 3>red teaming plans and kind of trying to make sure

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<v Speaker 3>that that's as minimized as much as possible.

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<v Speaker 5>How do think the US government should be approaching this?

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<v Speaker 5>The market's freaked out because of deep seek and how

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<v Speaker 5>much potentially the CCP is putting money into their version

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<v Speaker 5>of AI. But when you're in China and you want

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<v Speaker 5>to look at things on deep seek that are particularly

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<v Speaker 5>critical to the CCP, it will not show you. So

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<v Speaker 5>how does the US government go about this?

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<v Speaker 3>Well, So I think it's important that the US government

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<v Speaker 3>kind of continues some of the threads that the previous

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<v Speaker 3>executive order did, which is you have red teaming things

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<v Speaker 3>that you actually do world leadership about what kind of

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<v Speaker 3>things are happening. I mean, there's connections in the UK

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<v Speaker 3>AI Safety and Suit and the US one and the

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<v Speaker 3>French one, and I think these are important to do.

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<v Speaker 3>But I think that this is one of the things

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<v Speaker 3>where there will be multiple AIS and part of the

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<v Speaker 3>reason why I want AI not to just be artificial

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<v Speaker 3>intelligence or amplification intelligence, but also American intelligence as part

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<v Speaker 3>of what we're doing.

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<v Speaker 5>What do you make then, of the tech industry being

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<v Speaker 5>very close to this administration. I'm not just talking about

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<v Speaker 5>your former front Elon Musk. I was at the White

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<v Speaker 5>House yesterday and Bill Gates was walking into the West

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<v Speaker 5>wing for meetings. Do you think they can help the

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<v Speaker 5>administration basically get to there faster when it comes to

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<v Speaker 5>safe AI?

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<v Speaker 3>In the short absolutely, I think it's if you said,

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<v Speaker 3>of any kind of Western democracy government the world, most especially,

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<v Speaker 3>of course, you know, American presidency, American government, should they

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<v Speaker 3>be connected with the tech industry talking about how tech

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<v Speaker 3>creating the future? What are the things that we can

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<v Speaker 3>do to make better American industry, better American society, better

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<v Speaker 3>lives for American citizens? The short answer is absolutely.

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<v Speaker 2>What you make in the back lash against Dale Musk

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<v Speaker 2>more recently about he's in film from the government, well.

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<v Speaker 3>In government, the move fast and break things maybe should

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<v Speaker 3>be you know, a little bit more compassionate and judicious.

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<v Speaker 2>Is that what you think the apprice should be.

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<v Speaker 3>I think that the question should be is trying to say, hey, look,

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<v Speaker 3>there's a reason government doesn't work like companies, even though

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<v Speaker 3>I think there's efficiency that's really good and we need

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<v Speaker 3>to respect those reasons too.

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<v Speaker 5>Do you feel that you're going to basically get some

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<v Speaker 5>sort of repudiation because of where your politics were ahead

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<v Speaker 5>of this election and given how Trump has basically cosied

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<v Speaker 5>up to a lot of individuals in the tech world.

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<v Speaker 5>I have not seen you yet at mar Lago in

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<v Speaker 5>inauguration or walking into the West wag.

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<v Speaker 3>Look, I think the thing that we most want as

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<v Speaker 3>American citizens is for our government to succeed, to succeed

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<v Speaker 3>for our industry, succeed for our citizens, And so that's

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<v Speaker 3>what I most want, and I think we all do.

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<v Speaker 1>You have been an incredible investor. You are an early

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<v Speaker 1>investor in open Ai, You invested in LinkedIn, just so

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<v Speaker 1>many of the behemoths currently. Do you see a lot

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<v Speaker 1>of upstarts right now that look like they could become

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<v Speaker 1>the next big thing in some of this machine learning technology?

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<v Speaker 3>So the short answer is yes, although picking them is

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<v Speaker 3>one of the difficult things about being a venture capitalist,

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<v Speaker 3>and there's a lot of different options. Back a few

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<v Speaker 3>years ago, I was arguing that we were five large

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<v Speaker 3>tech companies heading to ten. But I wouldn't necessarily have

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<v Speaker 3>predicted that Nvidio would have so quickly become one of those,

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<v Speaker 3>you know, into the seven and then going to ten.

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<v Speaker 3>And so I think that's we are in that progress.

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<v Speaker 3>And I think there are a number of startups that

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<v Speaker 3>are creating amazing technology. And then the question is product

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<v Speaker 3>market fit at scale?

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<v Speaker 1>What do you think the next technological evolution is going

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<v Speaker 1>to be? They could potentially be a sort of chat

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<v Speaker 1>GPT moment, or a deep seek moment, or one of

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<v Speaker 1>these sort of breakthrough ahaz.

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<v Speaker 3>One of the things I think we're going to to

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<v Speaker 3>see this year, all of the major AI companies are

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<v Speaker 3>working on amplifying coding. And one of the things like,

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<v Speaker 3>for example, you know for your kids, other things will

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<v Speaker 3>be yes, you have to bring up the UH will

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<v Speaker 3>be actually all of us will have a software engineering

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<v Speaker 3>assistant and that will make all of our work a

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<v Speaker 3>lot better. UH. And that's one of the things I

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<v Speaker 3>think hasn't yet entered the consciousness. So I think that's

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<v Speaker 3>one of the things that's coming. UH. And then of course,

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<v Speaker 3>you know, with what I'm doing with manus I'm hopeful

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<v Speaker 3>that we will have some really great early results in

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<v Speaker 3>hearing cancer.

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<v Speaker 2>And how we can accelerate the scientific process. I say,

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<v Speaker 2>we're all up with you on that page. You're very successful.

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<v Speaker 2>Thank you, sir, read to appreciate your time. Thank you

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<v Speaker 2>so good to see you. Ride half and there manus

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<v Speaker 2>Ai and a whole lot more