WEBVTT

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Okay, so. Welcome back to the deep dive. And

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today, we're really diving into something that

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sounds like it's straight out of science fiction,

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right? It's the whole quantum computing and AI

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thing. You know how they're all tangled up together.

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Yeah. And you're here because you're the kind

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of person who wants to get right to the heart

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of it all, right? You want to know what's really

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going on and what it all means. So we've been

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digging through some really interesting stuff.

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Right. And we're going to try to bring you the

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key takeaways, right? The stuff that really matters.

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Absolutely. And for this one, we've been mainly

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focusing on this discussion with Fernando Dominguez

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-Pinauga from Sandbox AQ. And the main thing

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we're going to try to do here is we want to get

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past all the hype. You hear so much about quantum

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this, quantum that. What's the reality? What's

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actually happening with quantum computing? And

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how is AI playing a role in all this? And what's

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it all going to mean for? you know, businesses

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and for us regular folks in the years to come.

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Right. Yeah, it's interesting because I think

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a lot of times the first time that people encounter

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quantum physics is through science fiction. Oh

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yeah, for sure. You see shows like Devs and they

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present it as like this mystical force, almost

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like magic. Right. But the reality is... Quantum

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mechanics are just the fundamental rules of the

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universe at the atomic level, right? It's not

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some sort of distant fantasy It's it's it's the

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basis for a lot of the technology that we use

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every day, you know from photonics transistors

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GPS even MRI machines. OK, so it's not magic,

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but it is kind of like the bedrock, the foundation

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of so much of our technology today, right? Absolutely.

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And now what's really changing things up is that

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AI is getting more powerful and that's really

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accelerating the development of quantum computers

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and also helping us figure out what we can actually

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do with them. Yeah, exactly. AI is becoming sort

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of like the key to unlocking the potential of

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quantum mechanics and helping us see what are

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the most promising areas where we can actually

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apply it. OK, so when it comes to quantum computers,

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when are we actually going to see them doing

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things that matter, that have an impact on businesses

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and people's daily lives? Fernando seems to think

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that around 2028 to 2030, that's when we might

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start seeing what he calls viable or business

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useful quantum computers. Right, right. There's

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a lot of excitement around that sort of near

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term future. It's important to remember that

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the quantum computers that we have today are

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still basically in the research phase. They're

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very error prone. So that really limits their

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widespread use at this point. Right. You can

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kind of think of them like super powerful calculators,

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but they still make a lot of mistakes. I see.

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I see. So we're not quite there yet. But the

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progress is happening very rapidly. Yeah, that

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makes sense. That makes sense. And this kind

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of brings us to this whole debate about quantum

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supremacy versus actually solving real world

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problems, right? I mean, we all remember back

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in 2019 when Google made that big announcement

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about their Sycamore chip. Doing that calculation

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in like 200 seconds, that would take a supercomputer

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10 ,000 years or something like that. I mean,

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that sounds like a huge leap forward. Absolutely,

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it was a landmark demonstration of the raw power

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that quantum computing has. But it's important

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to note that the problem that the Sycamore chip

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solved was very specific. It was like this very

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specialized mathematical problem, kind of designed

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to showcase the speed advantage. It wasn't actually

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solving any real -world problems that humans

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were facing at that time. It was more like proving

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a concept than actually giving us a solution

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that we could use right away. Exactly. And it's

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really interesting that Google even offered a

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$5 million prize for anyone who could use a quantum

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computer to solve a truly... Useful problem,

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right? I mean that kind of highlights how much

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work still needs to be done Yeah, absolutely.

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It really underscores the the gap that still

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exists between the potential of quantum computing

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Yeah, and the actual practical application to

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real -world problems I see but you know, it's

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likely that in the future we'll see a sort of

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hybrid approach right where we have CPUs and

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GPUs working together with these QPUs and will

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break down problems into their different parts.

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And each part will be handled by the type of

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processor that's best suited for the job. That

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makes a lot of sense. So that makes a lot of

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sense. So are there any particular types of problems

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where you think quantum computers are really

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going to excel? Oh, yeah, absolutely. Fernando

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talks about things like optimization problems.

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So think about optimizing logistics for a huge

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supply chain or solving that classic traveling

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salesman problem in a really efficient way. And

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also cryptography, that's another area where

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quantum computers have the potential to really

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shake things up. Okay, okay, so speaking of shaking

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things up, let's talk about Sandbox AQ, right?

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This is the company that Fernando was a part

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of. And it's got this really interesting origin

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story. It started out in Google X, you know,

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that's their moonshot factory. And then it spun

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out into its own company in 2022, and they just

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got this massive $300 million funding round,

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you know, with some really big names like Mark

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Benioff, Eric Schmidt, Jan LeCun. I mean, when

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you see that kind of backing, you know, they're

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on to something. something, right? Yeah, for

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sure. It definitely raises eyebrows. Yeah. And

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the thing is, the AQ in sandbox AQ, it's not

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just a random name. Right. It stands for artificial

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quantum. And their whole vision, what they've

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been working on for over seven years now, is

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this idea of combining artificial intelligence

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with quantum technologies. Absolutely. And a

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key part of their work is what they call large

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quantitative models. These are AI models that

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go beyond just crunching numbers and data. They

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actually incorporate the fundamental laws of

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nature. like mathematical, physical, biological,

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chemical, even quantum physics principles. It's

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built into the structure of the model itself.

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So it's like they're teaching the AI the actual

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laws of physics. Exactly. Yeah, it's not just

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about statistical probabilities. It's about understanding

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the underlying equations that govern the universe.

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Wow. So how is that different from the large

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language models, the LLMs, that we're hearing

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so much about? Right. Well, LLMs are really good

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at processing text. generating text based on

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patterns and probabilities. But LQMs are different.

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They're built to solve problems based on the

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actual equations of the universe. Fernando gives

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this great example with like two plus two. In

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LM, I predict four because it's seen that pattern

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a million times. But an LQM would actually perform

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the mathematical operation of addition to get

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to the answer. So it's a fundamentally different

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way of understanding. I see. So it's not just

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pattern matching. It's actually like understanding

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the underlying principles, right? Exactly. And

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that's how they avoid those weird hallucinations

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that we sometimes see with LLMs, right? Right,

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yeah. That's a big advantage of LQMs. They're

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less prone to making those kinds of mistakes

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because they're grounded in the actual laws of

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physics. That's fascinating. And is Sandbox AQ

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the only company that's really pursuing this

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approach? Well, Fernando points out that there

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aren't a lot of direct competitors working on

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this specific combination of AI and quantum physics

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in the same way that they are. Right. You know,

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obviously the big tech companies have their own

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internal research going on. Sure. But Sandbox

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AQ seems to be kind of carving out their own

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niche. in this space and you know it's interesting

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because it seems like this whole think big mentality

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is just baked into their dna from their time

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at google x oh yeah absolutely the whole culture

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at x is about focusing on these massive global

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problems trying to solve things that could impact

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billions of people right it's about finding those

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problems that if you can solve them It's a game

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changer for the entire world. Yeah, he really

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emphasized that billion number, didn't he? He

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did, yeah, he's really passionate about that.

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Yeah, and he used Google Maps as an example,

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right? Yeah, yeah, Google Maps was this massive

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undertaking, took years to develop, no clear

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path to profit in the beginning, but the idea

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was that if they could create something truly

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valuable, a comprehensive map of the world, the

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monetization would come later. Right, and at

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the time it sounded crazy, right? Driving around

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with cameras on cars mapping every single street.

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Yeah, a lot of people thought it was a crazy

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idea, but, you know, look at it now. Yeah, exactly,

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exactly. And it seems like that same kind of

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long -term vision is also behind projects like

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Project Loon, you know, trying to deliver internet

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access via balloons. Right. And the early work

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on self -driving cars that eventually led to

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Waymo. Yeah, and even if Waymo doesn't end up

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being the... top dog in the self -driving car

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market. Right. The work that they did really

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pushed the whole industry forward and has the

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potential to make our roads much safer and save

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lives. Yeah. Yeah. I mean, even if they're not

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the ones who ultimately win, they've kind of

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paved the way for everybody else. Absolutely.

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And it's fascinating how Sandbox AQ itself came

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out of this think big culture, right? I mean,

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it was Sergey Brin himself, Google's co -founder,

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who really pushed for this. Yeah. Initially,

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he even called it Sergey Sandbox. That's funny.

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And he brought in all these top professors to

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teach the software engineers about advanced science

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and mathematics. Wow. The goal was to give them

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this deep understanding of these really complex

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fields so they could then go and apply that knowledge

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to real world problems. That's amazing. And so

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what kinds of things did they start exploring?

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Well, they went into all sorts of different areas

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of quantum technologies, you know, things like

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advanced sensing, quantum simulation of materials,

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cyber security, quantum communications. even

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the groundwork for a future quantum internet.

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Wow. The underlying idea was always, how can

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we combine these quantum capabilities with artificial

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intelligence to really amplify their impact?

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So they were thinking about the synergy between

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these two fields from the very beginning. Absolutely.

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That was a core part of their vision from day

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one. So this brings us to what Fernando calls

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physical AI, which really aligns with a lot of

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the ideas that Nvidia's CEO Jensen Hong has been

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talking about. Right. It's about AI that isn't

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just stuck in the digital world, it's AI that

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interacts with and shapes the physical world.

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robotics and quantum physics are going to be

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key parts of this. So it's like AI that can actually

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do things in the real world. Exactly. It's about

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AI that can build things, move things, create

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things in the physical world. And we're already

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seeing this happening, right? Like Sandbox IQ

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is working with NVIDIA. Their engineers are collaborating

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to get those powerful GPUs from NVIDIA to run

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those complex quantum computing equations and

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to speed up the training and development of those

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large quantitative models. Absolutely. Yeah,

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that kind of co -engineering is really essential

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to bridging that gap between the theoretical

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models and the actual practical applications.

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So it's like they're building the hardware and

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software together to make this physical AI a

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reality. Right. Yeah, it's all about making those

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models work in the real world, not just on paper.

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So in a way, physical AI is about taking the

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insights from those LQMs and applying them to

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things like robots, right? Exactly. Yeah, robots

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that can do really complex tasks in the real

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world. I guess that's where LLMs, those large

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language models, I kind of fall short, right?

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I mean, they're great at understanding and generating

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text. Right. But when it comes to like core industrial

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applications, things like energy, oil and gas,

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finance, automotive, aerospace. Yeah, those are

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the areas where you really need that precise

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quantitative understanding that LQMs provide.

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Right, right. Because those industries are all

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about interacting with the physical world. Exactly.

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Yeah. And Fernando highlights some of the work

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that they're doing. Like they're working with

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the Army to develop new lightweight materials

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with specific properties. Wow. And they're collaborating

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with pharmaceutical companies on drug discovery

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and development, even working on improving energy

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storage solutions like better batteries. That's

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amazing. And it sounds like those are all areas

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where you really need that deep understanding

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of physics and chemistry that those LQMs can

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provide. Absolutely. Yeah. You can't just brute

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force your way through those problems. You need

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to understand the underlying science. So physical

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AI is really about creating AI that understands

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the world in a way that's similar to how humans

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understand it, right? Exactly. Yeah, it's about

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learning from real world data. understanding

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the fundamental principles of science, and then

00:12:11.580 --> 00:12:14.639
using that knowledge to control and improve physical

00:12:14.639 --> 00:12:19.059
systems. So how does Sandbox AQ actually operate

00:12:19.059 --> 00:12:21.600
as a business? I mean do they build quantum computers?

00:12:22.659 --> 00:12:24.799
No, they don't actually build the quantum computers

00:12:24.799 --> 00:12:27.639
themselves. Right now the business models in

00:12:27.639 --> 00:12:29.820
the quantum computing space are mostly focused

00:12:29.820 --> 00:12:33.399
on research and development contracts. with companies

00:12:33.399 --> 00:12:36.360
that want to explore the technology and also

00:12:36.360 --> 00:12:38.980
providing access to quantum computing hardware

00:12:38.980 --> 00:12:42.139
for research labs, often through cloud platforms.

00:12:42.240 --> 00:12:44.100
I see, I see. For now, it makes a really good

00:12:44.100 --> 00:12:46.139
point that most companies don't need to go out

00:12:46.139 --> 00:12:48.059
and buy their own quantum computer right now.

00:12:48.179 --> 00:12:50.500
Right. Given the current state of the technology

00:12:50.500 --> 00:12:52.559
and the availability of cloud access. Yeah, it's

00:12:52.559 --> 00:12:53.779
kind of like the early days of the internet,

00:12:53.879 --> 00:12:55.820
right? Nobody needed to buy their own server.

00:12:55.879 --> 00:12:57.919
They could just access it through a service provider.

00:12:58.159 --> 00:13:00.019
Exactly. Yeah, it's a very similar situation

00:13:00.019 --> 00:13:02.440
with quantum computing right now. So what's the

00:13:02.440 --> 00:13:05.139
point of all these partnerships then? If nobody's

00:13:05.139 --> 00:13:07.500
actually using quantum computers in their day

00:13:07.500 --> 00:13:09.460
-to -day business, why are companies willing

00:13:09.460 --> 00:13:13.480
to pay for access? It's all about gaining knowledge,

00:13:13.980 --> 00:13:16.159
experimenting, and positioning themselves to

00:13:16.159 --> 00:13:19.440
be early adopters of a potentially game -changing

00:13:19.440 --> 00:13:21.559
technology. Right, right. So it's kind of like

00:13:21.559 --> 00:13:24.279
getting a head start on the competition. Exactly.

00:13:24.480 --> 00:13:27.509
And Sandbox AQ's advice is very clear. Don't

00:13:27.509 --> 00:13:29.789
rush out and buy a quantum computer today. OK.

00:13:30.110 --> 00:13:33.210
But definitely invest in building a team with

00:13:33.210 --> 00:13:35.990
the expertise to experiment via the cloud and

00:13:35.990 --> 00:13:37.769
really understand what this technology can do.

00:13:38.029 --> 00:13:40.409
I see. I see. And you know, Sandbox AQ is really

00:13:40.409 --> 00:13:43.129
focused on those other areas of quantum technologies

00:13:43.129 --> 00:13:45.509
that are already delivering value today. Like

00:13:45.509 --> 00:13:47.889
that. So things like advanced quantum sensors.

00:13:48.230 --> 00:13:51.210
These sensors have unprecedented precision. Quantum

00:13:51.210 --> 00:13:53.850
simulation for designing new materials and molecules.

00:13:53.870 --> 00:13:56.950
Right. And also quantum safe cryptography. and

00:13:56.950 --> 00:13:59.549
cybersecurity solutions to protect against those

00:13:59.549 --> 00:14:02.070
future quantum attacks. Right, right. Because

00:14:02.070 --> 00:14:04.690
those are real threats that we need to be prepared

00:14:04.690 --> 00:14:06.769
for. Absolutely. And they've actually structured

00:14:06.769 --> 00:14:08.909
their company into four different business units.

00:14:09.439 --> 00:14:12.620
each one focused on one of these key areas. Wow.

00:14:12.720 --> 00:14:14.740
So they're really covering all the bases. Yeah.

00:14:14.740 --> 00:14:16.820
And they're also very committed to education.

00:14:16.919 --> 00:14:18.960
They have a YouTube channel with all sorts of

00:14:18.960 --> 00:14:21.500
content. Oh, that's cool. From short explainers

00:14:21.500 --> 00:14:24.139
to really in -depth discussions with experts,

00:14:24.240 --> 00:14:26.659
like they have this one with Jack Hadary and

00:14:26.659 --> 00:14:29.600
Eric Schmidt talking about the synergy between

00:14:29.600 --> 00:14:33.480
LQMs and AI quantum technologies. OK, I'll have

00:14:33.480 --> 00:14:34.779
to check that out. Yeah, it's definitely worth

00:14:34.779 --> 00:14:37.460
a watch. So let's talk about this whole quantum

00:14:37.460 --> 00:14:39.559
computing and cybersecurity. issue, because that's

00:14:39.559 --> 00:14:41.659
a big one, right? Oh, yeah, absolutely. I mean,

00:14:41.659 --> 00:14:43.980
the idea that quantum computers could break our

00:14:43.980 --> 00:14:47.480
current encryption methods is pretty scary. It

00:14:47.480 --> 00:14:50.600
is, yeah. And you know, the theoretical possibility

00:14:50.600 --> 00:14:53.200
of quantum computers has been around for decades.

00:14:53.259 --> 00:14:55.899
Right. But it was Peter Shor's algorithm back

00:14:55.899 --> 00:15:00.139
in 1994 that really raised the alarm bells. This

00:15:00.139 --> 00:15:02.639
algorithm, if you could run it on a powerful

00:15:02.639 --> 00:15:06.120
enough quantum computer, could crack the public

00:15:06.120 --> 00:15:09.129
key encryption that we use for pretty much everything

00:15:09.129 --> 00:15:13.190
online today. Wow. And with the rapid advancements

00:15:13.190 --> 00:15:14.970
in quantum computing that we've seen in the last

00:15:14.970 --> 00:15:18.070
few years, it seems like that threat is becoming

00:15:18.070 --> 00:15:21.049
more and more real. Yeah. A lot of experts think

00:15:21.049 --> 00:15:23.129
that we could have those kinds of quantum computers

00:15:23.129 --> 00:15:26.190
within the next five to seven years, around that

00:15:26.190 --> 00:15:29.190
2029, 2030 time frame that we talked about earlier.

00:15:29.789 --> 00:15:31.570
So what are the implications of that? I mean,

00:15:31.690 --> 00:15:34.659
what's the worst case scenario here? Well, Fernando

00:15:34.659 --> 00:15:37.580
talks about this store now, decrypt later scenario.

00:15:37.940 --> 00:15:40.799
Store now, decrypt later. OK. So basically, nation

00:15:40.799 --> 00:15:43.519
states or sophisticated hackers are collecting

00:15:43.519 --> 00:15:46.379
vast amounts of encrypted data today with the

00:15:46.379 --> 00:15:47.759
expectation that they'll be able to decrypt it

00:15:47.759 --> 00:15:49.500
in the future once they have access to these

00:15:49.500 --> 00:15:51.980
powerful quantum computers. So even data from

00:15:51.980 --> 00:15:54.440
the past could be vulnerable. Exactly. Yeah.

00:15:54.539 --> 00:15:56.200
It's a really serious threat that we need to

00:15:56.200 --> 00:15:58.740
be taking steps to address right now. So what

00:15:58.740 --> 00:16:00.820
can we do about it? Well, the challenge is that

00:16:00.820 --> 00:16:02.840
most organizations don't even have a good understanding

00:16:02.840 --> 00:16:05.419
of their own encryption infrastructure. Right.

00:16:06.200 --> 00:16:09.000
And migrating to post -quantum cryptography,

00:16:09.639 --> 00:16:12.539
which means adopting new quantum -resistant algorithms,

00:16:13.100 --> 00:16:15.899
that's a really complex and time -consuming process.

00:16:16.100 --> 00:16:18.720
So it's not just like installing a software update.

00:16:19.159 --> 00:16:20.919
No, it's much more involved than that. It can

00:16:20.919 --> 00:16:23.519
take years, depending on the size and complexity

00:16:23.519 --> 00:16:26.440
of the organization. And the US government is

00:16:26.440 --> 00:16:28.299
taking this seriously, right? I mean, they've

00:16:28.299 --> 00:16:30.639
mandated that all Department of Defense agencies

00:16:30.639 --> 00:16:33.620
have to have a plan in place to migrate to post

00:16:33.620 --> 00:16:35.480
-quantum cryptography. Yeah, they're definitely

00:16:35.480 --> 00:16:37.299
taking it seriously. It's a top priority for

00:16:37.299 --> 00:16:39.899
national security. And it makes you wonder what's

00:16:39.899 --> 00:16:42.340
going on in other countries, right? I mean, especially

00:16:42.340 --> 00:16:44.259
China. They've been making a lot of progress

00:16:44.259 --> 00:16:46.960
in quantum computing. Yeah, Fernando frames it

00:16:46.960 --> 00:16:50.450
as a global race. Kind of like the space race

00:16:50.450 --> 00:16:53.450
of the 20th century, with both Western countries

00:16:53.450 --> 00:16:56.309
and China making advancements and trying to stay

00:16:56.309 --> 00:16:58.809
ahead of each other. And it's like a secret race

00:16:58.809 --> 00:17:01.250
in a way, because nobody wants to reveal their

00:17:01.250 --> 00:17:03.610
hand, right? If you've got a breakthrough in

00:17:03.610 --> 00:17:05.430
decryption capabilities, you probably want to

00:17:05.430 --> 00:17:07.789
keep that quiet. Exactly. It's a very strategic

00:17:07.789 --> 00:17:10.430
area, so the true state of affairs might be a

00:17:10.430 --> 00:17:12.589
bit murky. It makes you think about that whole

00:17:12.589 --> 00:17:15.470
enigma code situation in World War II, right?

00:17:15.670 --> 00:17:18.410
Yeah, that's a great analogy. The side that could

00:17:18.410 --> 00:17:20.710
secretly decrypt their enemy's communications

00:17:20.710 --> 00:17:24.079
had a huge advantage. Exactly, and it could be

00:17:24.079 --> 00:17:26.779
the same with quantum computing, the nation or

00:17:26.779 --> 00:17:29.299
organization that has a powerful quantum computer

00:17:29.299 --> 00:17:32.099
and the ability to decrypt everyone else's secrets.

00:17:32.279 --> 00:17:34.319
Right, it would be a very powerful position to

00:17:34.319 --> 00:17:37.079
be in. Okay, so let's shift gears a little bit

00:17:37.079 --> 00:17:40.220
and talk about some of the more speculative but

00:17:40.220 --> 00:17:42.380
exciting possibilities, you know, like potential

00:17:42.380 --> 00:17:44.559
breakthroughs and discoveries. Okay, yeah, let's

00:17:44.559 --> 00:17:47.339
get into that. Fernando mentioned Sandbox AQ's

00:17:47.339 --> 00:17:50.180
work on magnetic navigation, like a backup system

00:17:50.180 --> 00:17:53.349
for GPS in case GPS goes... down right and they're

00:17:53.349 --> 00:17:55.630
also doing research on advanced cryptography

00:17:55.630 --> 00:17:57.650
yeah lots of interesting stuff going on there

00:17:57.650 --> 00:18:00.029
and it's easy to get caught up in all the sci

00:18:00.029 --> 00:18:03.410
-fi scenarios right like AI and quantum computing

00:18:03.410 --> 00:18:06.450
leading to all these amazing discoveries yeah

00:18:06.450 --> 00:18:08.150
and that ties into what you were talking about

00:18:08.150 --> 00:18:10.990
earlier those aha moments those sudden flashes

00:18:10.990 --> 00:18:13.470
of insight right right like those breakthroughs

00:18:13.470 --> 00:18:15.750
that completely change our understanding of the

00:18:15.750 --> 00:18:19.470
world exactly and you know, the combination of

00:18:19.470 --> 00:18:22.230
AI's analytical power and quantum computing's

00:18:22.230 --> 00:18:25.730
ability to tackle these incredibly complex calculations,

00:18:26.210 --> 00:18:29.029
it really has the potential to accelerate scientific

00:18:29.029 --> 00:18:31.369
discovery in all sorts of fields. You know, everything

00:18:31.369 --> 00:18:34.630
from developing new medicines to understanding

00:18:34.630 --> 00:18:36.670
the fundamental laws of the universe. And that

00:18:36.670 --> 00:18:38.170
kind of leads us to the big question, right?

00:18:38.190 --> 00:18:40.250
The one that everybody's talking about. The singularity.

00:18:40.369 --> 00:18:43.549
Yeah, or artificial superintelligence, you know.

00:18:44.079 --> 00:18:47.779
What happens when AI becomes smarter than humans?

00:18:48.200 --> 00:18:49.799
Is that something that could actually happen?

00:18:50.019 --> 00:18:52.539
And if so, is it something that we should be

00:18:52.539 --> 00:18:55.099
afraid of? It's definitely a hot topic. And Fernando

00:18:55.099 --> 00:18:57.279
acknowledges that even defining what we mean

00:18:57.279 --> 00:18:59.779
by artificial general intelligence, AGI, and

00:18:59.779 --> 00:19:01.720
super intelligence, it's not straightforward.

00:19:02.039 --> 00:19:04.099
There's no universally agreed upon definition.

00:19:04.490 --> 00:19:08.349
But generally speaking, AGI would be AI that

00:19:08.349 --> 00:19:11.710
can perform any intellectual task that a human

00:19:11.710 --> 00:19:15.109
can. Right. And super intelligence would be AI

00:19:15.109 --> 00:19:17.470
that surpasses human intelligence across the

00:19:17.470 --> 00:19:20.619
board. So it's that transition from... AGI to

00:19:20.619 --> 00:19:22.240
super intelligence. That's where things could

00:19:22.240 --> 00:19:23.880
get really interesting, right? Yeah, that's the

00:19:23.880 --> 00:19:26.460
point where AI potentially goes beyond anything

00:19:26.460 --> 00:19:28.960
that we can even imagine. And some people think

00:19:28.960 --> 00:19:31.200
that quantum computers might be the key to making

00:19:31.200 --> 00:19:33.019
that happen, right? That they'll provide the

00:19:33.019 --> 00:19:36.220
raw computing power that AI needs to reach that

00:19:36.220 --> 00:19:39.400
level. It's definitely a possibility. But Sandbox

00:19:39.400 --> 00:19:43.519
AQ's focus is really on the more immediate positive

00:19:43.519 --> 00:19:45.640
impacts that these technologies can have. Right.

00:19:45.779 --> 00:19:48.450
They're working on things like protecting sensitive

00:19:48.450 --> 00:19:50.789
information, creating advanced medical devices,

00:19:51.289 --> 00:19:53.710
like they're collaborating with Nobel laureate

00:19:53.710 --> 00:19:56.349
Stanley Prusiner on Alzheimer's research. They're

00:19:56.349 --> 00:19:59.069
using LQMs to speed up the simulations of those

00:19:59.069 --> 00:20:01.329
complex molecules, trying to understand how the

00:20:01.329 --> 00:20:03.450
disease works. They're also working on improving

00:20:03.450 --> 00:20:06.049
navigation systems, making them more resilient

00:20:06.049 --> 00:20:08.410
and developing sustainable solutions, you know,

00:20:08.430 --> 00:20:10.250
like designing catalysts that can break down

00:20:10.250 --> 00:20:12.789
plastics. That's great. And it seems like that

00:20:12.789 --> 00:20:15.990
focus on creating a positive impact is something

00:20:15.990 --> 00:20:18.970
that really attracts top talent to companies

00:20:18.970 --> 00:20:21.809
like Sandbox AQ. Absolutely. People want to work

00:20:21.809 --> 00:20:23.910
on things that are going to make a difference

00:20:23.910 --> 00:20:25.809
in the world. Yeah. They want to be part of something

00:20:25.809 --> 00:20:28.990
bigger than themselves. Exactly. And Fernando

00:20:28.990 --> 00:20:32.269
emphasizes that Sandbox AQ's belief is that the

00:20:32.269 --> 00:20:35.450
convergence of AI, quantum technologies, and

00:20:35.450 --> 00:20:39.009
those large quantitative models it offers a more

00:20:39.009 --> 00:20:42.230
hopeful and impactful path forward. Focusing

00:20:42.230 --> 00:20:45.410
on solving those big human challenges, rather

00:20:45.410 --> 00:20:47.230
than just worrying about the potential risks

00:20:47.230 --> 00:20:49.190
of super intelligence. It's like he's saying,

00:20:49.690 --> 00:20:51.509
let's use these tools to make the world a better

00:20:51.509 --> 00:20:53.829
place. Yeah, exactly. Let's focus on the good

00:20:53.829 --> 00:20:56.410
that we can do right now. He also draws a parallel

00:20:56.410 --> 00:20:58.210
to the internet, right? Right. The internet has

00:20:58.210 --> 00:21:01.069
its downsides, obviously. Sure. But overall,

00:21:01.250 --> 00:21:03.390
it's brought a lot of positive things to humanity.

00:21:03.829 --> 00:21:06.150
Yeah. I think that's a fair assessment. And I

00:21:06.150 --> 00:21:08.309
think the same could be said for AI and quantum

00:21:08.309 --> 00:21:11.490
computing. You know, there are risks, but there's

00:21:11.490 --> 00:21:14.650
also tremendous potential for good. And what

00:21:14.650 --> 00:21:16.890
about those big questions about the universe?

00:21:17.430 --> 00:21:19.170
You know, the things that have always fascinated

00:21:19.170 --> 00:21:22.049
humans, like the nature of black holes or the

00:21:22.049 --> 00:21:24.589
possibility of faster -than -light travel? Right,

00:21:24.670 --> 00:21:26.750
well, those are definitely big questions. And

00:21:26.750 --> 00:21:29.430
AI and quantum computing are powerful tools that

00:21:29.430 --> 00:21:31.440
could help us answer them. Yeah. You know, the

00:21:31.440 --> 00:21:34.000
ability to perform these complex simulations

00:21:34.000 --> 00:21:36.960
and analyze massive amounts of data, it's going

00:21:36.960 --> 00:21:39.140
to be essential for scientific discovery. Right.

00:21:39.759 --> 00:21:42.259
But the universe is vast, and those questions

00:21:42.259 --> 00:21:44.519
are deep, so it might be a while before we have

00:21:44.519 --> 00:21:46.720
definitive answers. Yeah, those are like those

00:21:46.720 --> 00:21:49.259
really long -term research projects, right? Exactly.

00:21:49.319 --> 00:21:51.440
It's going to take time and patience. And it

00:21:51.440 --> 00:21:53.000
seems like there's still so much that we don't

00:21:53.000 --> 00:21:55.680
even know about quantum physics itself, right?

00:21:55.720 --> 00:21:57.799
I mean, those experiments they're doing on superposition

00:21:57.799 --> 00:22:01.769
and entanglement just... mind -boggling. Absolutely.

00:22:02.009 --> 00:22:03.450
Yeah, we're still learning about the fundamental

00:22:03.450 --> 00:22:06.430
nature of reality. And Fernando makes this really

00:22:06.430 --> 00:22:09.109
interesting point that human intelligence, as

00:22:09.109 --> 00:22:12.089
amazing as it is, it might have its limits. Right.

00:22:12.309 --> 00:22:14.710
And AI, especially when it's combined with the

00:22:14.710 --> 00:22:17.950
power of quantum computers, that could be the

00:22:17.950 --> 00:22:21.079
key to pushing past those limits, to expanding

00:22:21.079 --> 00:22:22.819
our knowledge in ways that we can't even imagine

00:22:22.819 --> 00:22:25.119
right now. Yeah, it's really exciting to think

00:22:25.119 --> 00:22:28.759
about what we might be able to achieve with these

00:22:28.759 --> 00:22:31.599
tools in the years to come. So wrapping things

00:22:31.599 --> 00:22:34.299
up, it's clear that AI and quantum computing,

00:22:34.559 --> 00:22:36.200
they're not just science fiction anymore. No,

00:22:36.380 --> 00:22:38.220
they're very real and they're going to have a

00:22:38.220 --> 00:22:40.769
profound impact on our world. They have the potential

00:22:40.769 --> 00:22:42.890
to change everything from how we do business

00:22:42.890 --> 00:22:45.490
to how we understand the universe itself. Absolutely.

00:22:45.690 --> 00:22:47.430
And it's something that everyone should be paying

00:22:47.430 --> 00:22:49.170
attention to, even if you're not a scientist

00:22:49.170 --> 00:22:51.170
or an engineer. Yeah, it's going to affect all

00:22:51.170 --> 00:22:53.309
of us in one way or another. And for those who

00:22:53.309 --> 00:22:55.109
want to learn more, I highly recommend checking

00:22:55.109 --> 00:22:58.430
out Sandbox AQ's YouTube channel and their website.

00:22:58.549 --> 00:23:00.789
They have tons of great information and resources.

00:23:00.970 --> 00:23:03.019
We'll put those links in the show notes. And

00:23:03.019 --> 00:23:05.019
they also have partnerships with universities

00:23:05.019 --> 00:23:07.200
and residency programs. So if you're interested

00:23:07.200 --> 00:23:09.220
in getting involved in this field, that's a great

00:23:09.220 --> 00:23:12.059
place to start. Yeah, there are so many opportunities

00:23:12.059 --> 00:23:13.900
out there for people who want to get involved

00:23:13.900 --> 00:23:16.940
in this exciting field. Absolutely. And the pace

00:23:16.940 --> 00:23:19.359
of discovery is only accelerating. So who knows?

00:23:19.559 --> 00:23:21.759
what the future holds. That's the most exciting

00:23:21.759 --> 00:23:23.759
part, right? We're just at the beginning of this

00:23:23.759 --> 00:23:26.779
journey, and the possibilities are endless. Yeah,

00:23:26.880 --> 00:23:28.400
it's going to be an amazing ride, that's for

00:23:28.400 --> 00:23:30.680
sure. So thanks for joining us on this deep dive

00:23:30.680 --> 00:23:33.539
into the world of quantum computing and AI. And

00:23:33.539 --> 00:23:36.539
until next time, keep exploring. Keep those brains

00:23:36.539 --> 00:23:39.019
firing. Exactly. And we'll see you on the next

00:23:39.019 --> 00:23:40.960
deep dive. All right, see you later. Take care.

00:23:41.220 --> 00:23:41.519
Bye.
