WEBVTT - Week in Tech: Who’s Behind the First Hit AI Artist?

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<v Speaker 1>From Kaleidoscope and iHeart podcasts. This is tech stuff.

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<v Speaker 2>I'm as Luscian and I'm care price.

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<v Speaker 1>Today we get into spy cockroaches and why Europe is

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<v Speaker 1>getting armed with a bunch of sci fi weapons, and

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<v Speaker 1>a revealing conversation with the human team behind a viral.

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<v Speaker 3>AI artist then un chatting me, and then I put

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<v Speaker 3>in what formation should you play to be?

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<v Speaker 2>NWSL teams all of that on the Weekend Tech. It's Friday,

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<v Speaker 2>November seventh, US. I want to tell you about this

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<v Speaker 2>bird that I saw on the way to work today.

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<v Speaker 1>Birds can be very symbolic.

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<v Speaker 2>It was a brown and white pigeon.

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<v Speaker 1>Or feral as US ornithologists like to call it.

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<v Speaker 2>A pharal dove. So do you know I'm telling you

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<v Speaker 2>about a bird? Have no idea, no idea you could pass.

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<v Speaker 1>What's the test?

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<v Speaker 2>You just experienced? Something called bird theory. It's this relationship

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<v Speaker 2>test that I saw on TikTok, and a lot of

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<v Speaker 2>TikTokers are using it to test their partners by secretly

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<v Speaker 2>filming their partner's reactions when they point out a bird.

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<v Speaker 2>If their partner reacts enthusiastically like I did, good sign.

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<v Speaker 2>If not some say, bird, watch out.

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<v Speaker 1>What's behind this?

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<v Speaker 2>It's actually from this theory developed by the Gotmans, who

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<v Speaker 2>are prominent couples therapists, and this test is used to

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<v Speaker 2>evaluate how a partner responds to what the Gotmans call

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<v Speaker 2>a bid for connection. So just now, had we been

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<v Speaker 2>together and you were like, Babe.

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<v Speaker 1>I can't in the studio, I'm by definition forced to

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<v Speaker 1>pay attention to what you're telling me. In real life,

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<v Speaker 1>I feel like, as a bird over there, I had

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<v Speaker 1>just been on my phone, I won't even heard you

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<v Speaker 1>locked into my phone.

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<v Speaker 2>That's very true, and so it is also contextual, I think.

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<v Speaker 2>But what is really interesting to me about this is

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<v Speaker 2>that there is a thing that's happening on TikTok that

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<v Speaker 2>I think is really just an extension of like the

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<v Speaker 2>BuzzFeed or Cosmo quiz. Remember BuzzFeed quizzes.

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<v Speaker 1>Like are you astrologically compatible with your partner? Or like

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<v Speaker 1>do you like the same things? And that kind of thing.

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<v Speaker 2>Well, that's exactly what I mean. But I think that

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<v Speaker 2>there's this interesting thing that's happening on TikTok, which is

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<v Speaker 2>that like people are gamifying their relationships very publicly and

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<v Speaker 2>inviting viewers to judge their partner's responses as well, and

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<v Speaker 2>so it kind of is the first time people are

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<v Speaker 2>like opening up their relationships to a peanut gallery.

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<v Speaker 1>That's the weird part, right, Like you would think the

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<v Speaker 1>idea of the peanut galleries. That's different from the old

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<v Speaker 1>days of Cosmo and BuzzFeed quizzes.

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<v Speaker 2>What's amazing is how seriously people take this stuff. People

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<v Speaker 2>are really like in the comments being like, if your

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<v Speaker 2>partner doesn't pay at ten, you talking about the bird?

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<v Speaker 2>Dump it, believe?

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<v Speaker 1>How about this for a transition please? Is it a bird?

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<v Speaker 1>Is it a plane? No, it's a drone.

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<v Speaker 4>That's good.

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<v Speaker 1>Okay, that's good. So the general headline that I want

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<v Speaker 1>to share with you today is Europe is investing heavily

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<v Speaker 1>in defense tech with mixed results.

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<v Speaker 2>What are the mixed results?

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<v Speaker 1>Some of it's working and some of it's absolutely not.

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<v Speaker 1>There was a story in the Financial Times with the

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<v Speaker 1>headline drones startup back by Peter Teel crashed and burned

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<v Speaker 1>in Armed forces trials. So of course I couldn't read

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<v Speaker 1>it up exactly. But this all started with Vice President

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<v Speaker 1>jd Vance. Earlier this year. Jd Vance, in his first

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<v Speaker 1>major public speech, was in Munich, at something called the

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<v Speaker 1>Munich Security Conference, which is basically when all of the

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<v Speaker 1>big wigs of European defense get together and you know,

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<v Speaker 1>prominent Americans from government come and normally it's a kind

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<v Speaker 1>of backslapping, handshaking thing. This year was very different. Vance

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<v Speaker 1>shocked Europe and I had some friends who had that conference.

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<v Speaker 2>You had friends that were shocked.

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<v Speaker 1>Shocks say, you, guys, you're on your own. You've been

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<v Speaker 1>eating out of our hand for too long. You've gonna

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<v Speaker 1>boost your own defense spending because we're not coming to

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<v Speaker 1>the rescue anymore. So now Europe is stepping up her

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<v Speaker 1>Reuters venture capital funding of European defense tech hit one

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<v Speaker 1>billion dollars this year, up from around four hundred million

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<v Speaker 1>in twenty twenty two. More interesting than that, there was

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<v Speaker 1>a stat is this year, for the first time ever,

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<v Speaker 1>combined European spending on defense procurement, by the way, this

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<v Speaker 1>includes Turkey and Ukraine is expects to be more than

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<v Speaker 1>in the US. What Europe is spending.

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<v Speaker 2>More just because JD.

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<v Speaker 1>Vance marked then yeah, I mean I think it's that,

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<v Speaker 1>And obviously it's it's carroting. Well, it's two sticks. It's

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<v Speaker 1>an American stick and the Russian stick. There's a very

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<v Speaker 1>little carrot. One is saying you've got to do this,

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<v Speaker 1>and the other is all but saying you've got to

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<v Speaker 1>do this. A lot of this investment is happening in Germany,

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<v Speaker 1>which also obviously has a troubled history when it comes

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<v Speaker 1>to quite armament production and has really not done very

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<v Speaker 1>much since the Second World War and till now when

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<v Speaker 1>there is demand from the US, pressure from Russia, but

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<v Speaker 1>also a whole bunch of talented engineers who have worked

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<v Speaker 1>for decades in the auto industry which is now on

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<v Speaker 1>its knees. Interesting, but I do want to talk a

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<v Speaker 1>little bit more about this Financial Time story about Yes, that's.

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<v Speaker 2>What I want to hear more about is stashing and burning.

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<v Speaker 1>This is about a company called Stark, which rhymes with Lark.

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<v Speaker 1>It's a Berlin based drone company back by Peter Teel,

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<v Speaker 1>Sequoia Capital and the NATO Innovation Fund. Stark was founded

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<v Speaker 1>fifteen months ago and they've built weaponized drones that look

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<v Speaker 1>kind of reminiscent of ex fighters from Star Wars. The

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<v Speaker 1>base of the drone is shaped like an X.

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<v Speaker 2>And this has all been developed in the last fifteen months.

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<v Speaker 1>It has and it had two trials which were covered

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<v Speaker 1>by the Financial Times, which called them a disaster. The

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<v Speaker 1>drones quote failed to hit a single target during four

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<v Speaker 1>attempts at two separate exercises. You know, the failure, especially

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<v Speaker 1>when and it's failure of investments by some of these

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<v Speaker 1>Silicon valley overlords is always delicious, extremely delicious. But the

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<v Speaker 1>new idea in defense tech is build it and they

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<v Speaker 1>will come. Previously, it was like the government would commission

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<v Speaker 1>a new fighter jet, There'll be a twenty year procurement cycle,

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<v Speaker 1>and it would cost like, you know, five hundred billion

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<v Speaker 1>dollars for the government to get the new technology wanted.

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<v Speaker 1>Now all these startups are saying, wow, like wars here

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<v Speaker 1>or war's coming, Why don't we raise money from the

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<v Speaker 1>private market and make weapons that governments don't even think

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<v Speaker 1>they need yet. And so that's a huge shift, and

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<v Speaker 1>it's being powered, of course by AI, automation and robotics.

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<v Speaker 1>There's a story in the New York Times about the

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<v Speaker 1>same phenomenon which had a great, great quote, which was

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<v Speaker 1>the new business model reflects a sea change in warfare

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<v Speaker 1>that maybe as profound as the shift from horse cavalries

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<v Speaker 1>to armoured tanks and airplanes in World War One.

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<v Speaker 2>That's quite a distinction. I mean, I guess my question

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<v Speaker 2>is why do things on the cheap?

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<v Speaker 1>Well, I think because, I mean, the point of these

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<v Speaker 1>venture back companies is you're trying to do a minimal

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<v Speaker 1>viable product as cheaply as you can. If it works,

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<v Speaker 1>you raise a bunch more money and go into full production.

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<v Speaker 1>So most Series A companies fail. But what's interesting is

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<v Speaker 1>that private investors are willing to take risk to fund weapons,

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<v Speaker 1>most of which won't work. But the ones that do work,

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<v Speaker 1>or that do convince governments they work, will presumably print

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<v Speaker 1>fortunes for their founders and backers.

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<v Speaker 2>So this is quite literally the old Silicon Valley model

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<v Speaker 2>of moved fast and break things.

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<v Speaker 1>It's exactly that, exactly that, but for defense tech, which.

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<v Speaker 2>Is a little scarier. When it comes to defense tech.

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<v Speaker 2>You know, I'm sure some of this tech is incredibly

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<v Speaker 2>sci fi and inspired, but like, this is stuff that's

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<v Speaker 2>being made for war.

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<v Speaker 1>Yeah, I mean, look, so one of the most successful

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<v Speaker 1>companies in the space seems to be this company called Helsing.

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<v Speaker 1>They're featuring the same ft story. They hit their targets

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<v Speaker 1>seventeen times and successfully completed five trial runs. Their valuation

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<v Speaker 1>is now over four teen billion dollars.

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<v Speaker 2>That's crazy.

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<v Speaker 1>And it's not just drones. There are other companies who

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<v Speaker 1>are trying to create the weapons of the future. In parallel,

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<v Speaker 1>there's a company called euro Atlas who have quote created

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<v Speaker 1>a division to develop autonomous underwater vehicles. The commonitor vital

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<v Speaker 1>cables on the ocean floor. They are vital cables without

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<v Speaker 1>no Internet without without them. They've created this underwater vehicle

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<v Speaker 1>called gray Shark that actually looks more like a dolphin.

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<v Speaker 1>And to me, bionic cockroaches are the most fascinating part

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<v Speaker 1>of the story. I'm serious. So let me tell you

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<v Speaker 1>about a little company called Swarm Biotechniques.

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<v Speaker 2>There you go.

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<v Speaker 1>Swarm Biotechniques have taken cockroaches and made these little backpacks

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<v Speaker 1>for them. These backpacks again a little baby corroach, baby

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<v Speaker 1>cockroach backpack. The backpack interacts with the cockroaches nervous system

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<v Speaker 1>such that a human operator can use the cockroach like

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<v Speaker 1>a remote control cars.

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<v Speaker 2>So these are real cockroaches.

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<v Speaker 1>These are real cockroaches.

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<v Speaker 2>That have implants in their brain.

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<v Speaker 1>Implants in their brain and tiny cameras and can go

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<v Speaker 1>in swarms into areas where humans or other bigger robots.

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<v Speaker 1>This is from the Swarm biotechniques websites has been referenced

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<v Speaker 1>in a bunch of mainstream press. So I haven't seen

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<v Speaker 1>for myself the swamp that the cockroach being remote controlled.

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<v Speaker 1>But what a world we're living in.

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<v Speaker 2>So why is this happening in Europe specifically?

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<v Speaker 1>Yeah, well, I mentioned that the Vance thing, and one

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<v Speaker 1>of the co founders of Helsing, the more successful drone company,

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<v Speaker 1>told the New York Times quote before, no European VC

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<v Speaker 1>was interested in defense. Now everyone wants to invest. And

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<v Speaker 1>so I think you can't really understand this story without

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<v Speaker 1>understanding how scary it is to be next to Russia

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<v Speaker 1>if you live in Europe. So you know, in New

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<v Speaker 1>York a few months ago, everyone was looking up at

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<v Speaker 1>the sky and seeing all these drones. It's kind of

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<v Speaker 1>scary and chilling. Yeah, it's a lot more scary and

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<v Speaker 1>more chilling to Russia. You look up the sky and

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<v Speaker 1>you see stuff.

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<v Speaker 4>Right.

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<v Speaker 1>The market is fear driven, of course, So drones, presumably

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<v Speaker 1>Russian drones, have been spotted flying over European bases hosting

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<v Speaker 1>US tactical nuclear weapons that are part of Europe's nuclear

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<v Speaker 1>terrance strategy. The US is believed to have around one

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<v Speaker 1>hundred tactical nuclear bombs in Europe spread across five countries,

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<v Speaker 1>which is half of the US supply not something you

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<v Speaker 1>want to.

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<v Speaker 2>See, No, you definitely don't. And I know this because

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<v Speaker 2>I just saw the new Cafine Bigelow movie called House

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<v Speaker 2>of Dynamite, and it's about basically the hours leading up

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<v Speaker 2>to a nuclear missile heading to the United States. I'm

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<v Speaker 2>just thinking about it because of this. It sort of

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<v Speaker 2>shows the ways in which the United States isn't exactly prepared.

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<v Speaker 2>I actually want to I want to transition to something

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<v Speaker 2>that is a little bit more CARA, which is music

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<v Speaker 2>culture AI the synthetic creation of new musical artists.

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<v Speaker 1>Well, I have to tell you that one of the

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<v Speaker 1>main investors in Helsing, In fact, I think the lead

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<v Speaker 1>investor in the last round was none other than Daniel Eck,

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<v Speaker 1>who also found his Spotify.

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<v Speaker 2>So there's always but it's also gotten him in trouble,

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<v Speaker 2>that's right, Like many artists have left the platform because

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<v Speaker 2>of this, and it's also why Eck is no longer

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<v Speaker 2>the CEO of Spotify. But yes, I'm here to talk

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<v Speaker 2>about the state of music, and you know that AI

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<v Speaker 2>music is nothing really new, Like we talked about it

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<v Speaker 2>on Sleepwalkers. There was a company called Endell that was

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<v Speaker 2>like the first algorithm to have a record deal. And

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<v Speaker 2>actually in September, Spotify revealed that it moved seventy five

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<v Speaker 2>million spam tracks over the last year. And this has

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<v Speaker 2>become a really big business for people because it's cheap

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<v Speaker 2>to make and if a song is played for more

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<v Speaker 2>than thirty seconds on a streaming platform, the person uploading

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<v Speaker 2>the music gets a royalty. So I'm curious first and foremost, like,

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<v Speaker 2>what do you think about AI music?

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<v Speaker 1>Very good question. I don't know what I think about

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<v Speaker 1>AI music, but what I do think about is that

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<v Speaker 1>I know when people think they are interacting with AI

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<v Speaker 1>created media, they slightly switch off. But I'm wondering if

0:12:08.080 --> 0:12:09.839
<v Speaker 1>that if that continues, I mean.

0:12:09.800 --> 0:12:11.720
<v Speaker 2>They're turned off by the idea. Yeah, sorry, I was

0:12:11.720 --> 0:12:16.600
<v Speaker 2>trying to translate your British. Well. I want to play

0:12:16.640 --> 0:12:19.959
<v Speaker 2>you a song that is number thirty on Billboard's Adult

0:12:20.080 --> 0:12:24.640
<v Speaker 2>R and B Airplay charts, and this artist has over

0:12:24.760 --> 0:12:34.760
<v Speaker 2>one million monthly listeners on Spotify.

0:12:34.840 --> 0:12:39.520
<v Speaker 3>He didn't want me down no stairs, didn't want me

0:12:39.600 --> 0:12:41.360
<v Speaker 3>about them boys who wouldn't care.

0:12:42.480 --> 0:12:45.360
<v Speaker 2>Didn't tell me what a real man sounds like.

0:12:46.080 --> 0:12:49.120
<v Speaker 5>So a fell for that's right.

0:12:49.559 --> 0:12:52.200
<v Speaker 2>He never pulled much. Tell me what you think about it.

0:12:52.440 --> 0:12:54.560
<v Speaker 1>I would have no idea. This wasn't real, right. I

0:12:54.559 --> 0:12:56.320
<v Speaker 1>did like it though, I like especially that. Oh at

0:12:56.360 --> 0:12:57.720
<v Speaker 1>the beginning it sounded a bit like I don't want

0:12:57.760 --> 0:12:58.440
<v Speaker 1>to look for Christmas.

0:12:58.480 --> 0:13:00.520
<v Speaker 2>Well, let me tell you something. Not a lick of

0:13:00.559 --> 0:13:03.880
<v Speaker 2>it is real. However, there is some reality.

0:13:03.880 --> 0:13:04.800
<v Speaker 1>It's a human in the loop.

0:13:04.880 --> 0:13:06.720
<v Speaker 2>There is a human in the loop. The person that

0:13:06.800 --> 0:13:09.520
<v Speaker 2>you just heard is Zania Monet.

0:13:09.760 --> 0:13:11.640
<v Speaker 1>Okay, she's real. If she's not real, she.

0:13:11.720 --> 0:13:16.280
<v Speaker 2>Is fake as they come. So I'm a person who

0:13:16.440 --> 0:13:20.800
<v Speaker 2>likes to see when AI is creating an inflection point

0:13:21.160 --> 0:13:22.920
<v Speaker 2>in the culture where it's like, you know, like we

0:13:22.920 --> 0:13:25.559
<v Speaker 2>talked about with Sora, like all of a sudden, we

0:13:25.880 --> 0:13:29.560
<v Speaker 2>can't trust video anymore. Ever, Yeah, I think because this

0:13:29.880 --> 0:13:32.400
<v Speaker 2>artist Zanaia is on the Billboard charts, Yeah.

0:13:32.200 --> 0:13:33.800
<v Speaker 1>That makes it feel different. Right. This is not just

0:13:34.160 --> 0:13:36.679
<v Speaker 1>so garbage that's on Spotify and from time to time

0:13:36.720 --> 0:13:39.240
<v Speaker 1>gets weeded out by a mod or an automatic mod.

0:13:39.559 --> 0:13:41.920
<v Speaker 1>This is a charting song of an artist with a

0:13:42.040 --> 0:13:43.839
<v Speaker 1>name who doesn't exist. That's right.

0:13:44.160 --> 0:13:47.040
<v Speaker 2>And on top of that, she has a manager and

0:13:47.080 --> 0:13:50.920
<v Speaker 2>a multimillion dollar record yeah with Hollwood Media, which is

0:13:50.920 --> 0:13:54.240
<v Speaker 2>an independent record label founded by a former Interscope executive.

0:13:54.960 --> 0:13:57.040
<v Speaker 2>So when I was reading about Zania, it was actually

0:13:57.120 --> 0:14:00.600
<v Speaker 2>unclear to me what about her was a and what

0:14:00.800 --> 0:14:03.120
<v Speaker 2>wasn't like Was it the beats, was it her voice?

0:14:03.280 --> 0:14:06.640
<v Speaker 2>Was it the lyrics? So I actually called up Zenia's manager,

0:14:06.760 --> 0:14:09.440
<v Speaker 2>Ramel Murphy, and he told me that this whole project

0:14:09.520 --> 0:14:12.720
<v Speaker 2>is actually the brainchild of a lifelong friend and poet,

0:14:13.040 --> 0:14:15.760
<v Speaker 2>a thirty one year old named Talisha Nicki Jones.

0:14:16.240 --> 0:14:20.600
<v Speaker 6>Here's Ramel, so I would say Zanayah is an extension

0:14:20.680 --> 0:14:23.160
<v Speaker 6>of Talisha Jones. So that's why it feels so real,

0:14:23.160 --> 0:14:26.400
<v Speaker 6>because she put her raw motions on real life experiences

0:14:26.400 --> 0:14:29.040
<v Speaker 6>into the song. AI is just a tool to enhance

0:14:29.280 --> 0:14:32.400
<v Speaker 6>and give a different experience, not a better, not a worse,

0:14:32.520 --> 0:14:36.280
<v Speaker 6>a different experience. And we're going to be completely transparent

0:14:36.320 --> 0:14:39.000
<v Speaker 6>as we've been from the jump. She's not the vocal

0:14:39.000 --> 0:14:40.080
<v Speaker 6>beast as Zanaia is.

0:14:40.720 --> 0:14:43.800
<v Speaker 2>Ramel and Talisha don't see Talisha's lack of musical training

0:14:43.880 --> 0:14:47.120
<v Speaker 2>as any issue. She's basically using an R and B

0:14:47.240 --> 0:14:50.560
<v Speaker 2>singer songwriter avatar to elevate the real life stories and

0:14:50.600 --> 0:14:54.280
<v Speaker 2>emotions she's putting into her lyrics. And Talisha the poet

0:14:54.560 --> 0:14:57.520
<v Speaker 2>has an undeniably larger reach as Zanaia, the R and

0:14:57.600 --> 0:15:00.800
<v Speaker 2>B singer. So what was interesting about what Ramel said

0:15:00.840 --> 0:15:03.880
<v Speaker 2>is that this is art. Talisha's music is real music,

0:15:04.160 --> 0:15:07.680
<v Speaker 2>even if Talisha herself isn't musically talented in her own right.

0:15:08.240 --> 0:15:11.800
<v Speaker 2>So Talisha has been using an AI music generator called

0:15:11.920 --> 0:15:15.680
<v Speaker 2>Suno to make these songs because, as Ramel put it,

0:15:15.800 --> 0:15:18.160
<v Speaker 2>she is not a singer and she's not a musician,

0:15:18.440 --> 0:15:22.760
<v Speaker 2>She's just a poet. And actually, Talisha appeared on CBS

0:15:22.760 --> 0:15:25.880
<v Speaker 2>Mornings and showed co host Gail King how she uses

0:15:25.920 --> 0:15:27.680
<v Speaker 2>Suno to turn her poems into music.

0:15:28.120 --> 0:15:30.480
<v Speaker 3>And I just take those lyrics, just go in and

0:15:30.560 --> 0:15:35.840
<v Speaker 3>paste a simple style, slow tempo R and B.

0:15:36.160 --> 0:15:38.040
<v Speaker 1>So you're saying, I want slow tempo R and B.

0:15:38.480 --> 0:15:42.040
<v Speaker 5>She adds a few more prompts into AI music generator Suno,

0:15:42.680 --> 0:15:48.840
<v Speaker 5>like female soulful vocals, light guitar and heavy drums, and

0:15:48.960 --> 0:15:51.200
<v Speaker 5>Hilary's just creat.

0:15:54.120 --> 0:15:56.880
<v Speaker 2>I watched some videos of her on Facebook. Talicia, Yeah, Talisha,

0:15:57.160 --> 0:16:01.280
<v Speaker 2>she teaches how to leverage AI tools into financial rewards,

0:16:01.720 --> 0:16:04.520
<v Speaker 2>and I don't know. I feel like she's kind of

0:16:05.240 --> 0:16:08.680
<v Speaker 2>taking this software by the scruff of its neck and saying,

0:16:08.720 --> 0:16:12.200
<v Speaker 2>look like, I'm not going to be a superstar. I

0:16:12.240 --> 0:16:14.360
<v Speaker 2>can build a superstar, and isn't it better for me

0:16:14.400 --> 0:16:16.360
<v Speaker 2>to build a superstar who I then don't have to

0:16:16.360 --> 0:16:18.560
<v Speaker 2>respond for She's a producer.

0:16:18.960 --> 0:16:21.040
<v Speaker 1>Is an interesting combination being a good producer and a

0:16:21.040 --> 0:16:24.960
<v Speaker 1>good marketer. Right She's written Talisha's written the hype cycle

0:16:25.000 --> 0:16:28.200
<v Speaker 1>of AI to become a producer and artist, and Aaron

0:16:28.200 --> 0:16:29.280
<v Speaker 1>write good on I think.

0:16:29.160 --> 0:16:32.560
<v Speaker 2>What people have a problem with is is this music.

0:16:33.080 --> 0:16:35.760
<v Speaker 2>So there's a very well known R and B artist

0:16:35.840 --> 0:16:38.560
<v Speaker 2>named Kailani and she was quoted in a piece in

0:16:38.640 --> 0:16:42.680
<v Speaker 2>Billboard magazine saying, quote, nothing and no one on earth

0:16:42.760 --> 0:16:46.160
<v Speaker 2>will ever be able to justify AI to me. And

0:16:46.240 --> 0:16:49.120
<v Speaker 2>I do understand this. There are many R and B

0:16:49.280 --> 0:16:53.640
<v Speaker 2>artists who have worked for years and years tirelessly to

0:16:54.440 --> 0:16:59.080
<v Speaker 2>hone their craft. And Talisha is a poet, is using

0:16:59.680 --> 0:17:04.200
<v Speaker 2>soon know and is pushing out songs pretty easily using

0:17:04.200 --> 0:17:06.920
<v Speaker 2>digital tools. So Kilani makes a point in the sense

0:17:06.920 --> 0:17:10.480
<v Speaker 2>of like, can we really call Zanaya an artist in

0:17:10.520 --> 0:17:13.360
<v Speaker 2>the same way we call Kilani an artist? I think right.

0:17:13.440 --> 0:17:15.560
<v Speaker 1>I mean, look, if all music was this, I would

0:17:15.600 --> 0:17:18.520
<v Speaker 1>be super depressed. But I think because I'm attracted to

0:17:18.560 --> 0:17:21.960
<v Speaker 1>Talsia's story, I feel like I give this a pause.

0:17:22.320 --> 0:17:25.480
<v Speaker 1>But it's kind of agel debate. Right, is a musical

0:17:25.520 --> 0:17:27.520
<v Speaker 1>act more the product of the musician or the producer

0:17:28.080 --> 0:17:28.879
<v Speaker 1>in today's world?

0:17:29.240 --> 0:17:32.680
<v Speaker 2>That is the question. And actually Suno has been sued

0:17:32.760 --> 0:17:36.520
<v Speaker 2>for copyright infringement and a lot of artists are very

0:17:36.560 --> 0:17:38.520
<v Speaker 2>anti Suno that sense.

0:17:38.400 --> 0:17:44.200
<v Speaker 1>Yes, basically stealing people's voices and musical ideas and melodies

0:17:44.240 --> 0:17:45.360
<v Speaker 1>to make this possible.

0:17:45.400 --> 0:17:49.160
<v Speaker 2>Well, they're training SUNO's algorithms with pre existing material, and

0:17:49.280 --> 0:17:51.879
<v Speaker 2>a lot of record companies are part of this larger

0:17:51.960 --> 0:17:54.879
<v Speaker 2>lawsuit where they're saying that is not okay. You can't

0:17:55.119 --> 0:18:00.479
<v Speaker 2>basically facilitate someone's entire musical career on the voice and

0:18:00.640 --> 0:18:03.560
<v Speaker 2>sound of you know, thousands of artists music.

0:18:10.320 --> 0:18:13.919
<v Speaker 1>After the break a pitch to build data centers in

0:18:14.119 --> 0:18:20.480
<v Speaker 1>space and professional soccer coaches experiment with Chatgibt stay with

0:18:20.600 --> 0:18:36.800
<v Speaker 1>us and we're back, Cara, What if I told you

0:18:36.840 --> 0:18:39.359
<v Speaker 1>that Google wanted to harness the power of the sun

0:18:40.480 --> 0:18:41.680
<v Speaker 1>to power data centers.

0:18:41.880 --> 0:18:45.240
<v Speaker 2>I would quote the oft quotable Mel Robbins and say

0:18:45.480 --> 0:18:46.120
<v Speaker 2>let them.

0:18:47.480 --> 0:18:49.639
<v Speaker 1>Let them. I would say, let them. What if I

0:18:49.680 --> 0:18:51.840
<v Speaker 1>told you they would also be honessing the power of

0:18:51.840 --> 0:18:55.520
<v Speaker 1>the Sun for these data centers in space.

0:18:55.520 --> 0:18:58.720
<v Speaker 2>I would say that nothing surprises me anymore. Are they

0:18:58.720 --> 0:18:59.639
<v Speaker 2>doing this well?

0:18:59.680 --> 0:19:02.960
<v Speaker 1>They just We've talked about making plans to send trial

0:19:03.040 --> 0:19:06.400
<v Speaker 1>equipment into orbit by early twenty twenty seven. It's called

0:19:06.400 --> 0:19:08.160
<v Speaker 1>Project Suncatcher.

0:19:07.680 --> 0:19:08.320
<v Speaker 2>Brilliant name.

0:19:09.200 --> 0:19:13.919
<v Speaker 1>Basically, the idea is that tightly packed constellations of solar

0:19:13.960 --> 0:19:18.040
<v Speaker 1>powered satellites orbiting four hundred miles above Earth's surface with

0:19:18.160 --> 0:19:22.600
<v Speaker 1>AI processors could help meet rising demand for AI without

0:19:22.600 --> 0:19:26.440
<v Speaker 1>putting additional strain on our energy resources here on Earth.

0:19:26.720 --> 0:19:28.639
<v Speaker 2>And this is a good idea why.

0:19:29.200 --> 0:19:31.479
<v Speaker 1>The article in the Guardian that I read talked about

0:19:31.520 --> 0:19:35.080
<v Speaker 1>how the bet Google is making here is that it

0:19:35.119 --> 0:19:38.320
<v Speaker 1>will be so cheap to send stuff into space by

0:19:38.359 --> 0:19:41.399
<v Speaker 1>twenty twenty seven, that will actually be cheaper to do

0:19:41.520 --> 0:19:45.679
<v Speaker 1>data centers in space than on Earth. Google researchers predict

0:19:45.680 --> 0:19:48.440
<v Speaker 1>that the cost of sending stuff to space could drop

0:19:48.480 --> 0:19:52.080
<v Speaker 1>to two hundred dollars per kilogram in this decade, which

0:19:52.119 --> 0:19:54.560
<v Speaker 1>is a multiple lower than it is today.

0:19:54.480 --> 0:19:57.000
<v Speaker 2>So we'd basically be sending these to space because it's

0:19:57.040 --> 0:19:58.520
<v Speaker 2>saving money.

0:19:58.440 --> 0:20:01.720
<v Speaker 1>It's cheaper than using Earth Earth energy. It's better for

0:20:01.720 --> 0:20:05.679
<v Speaker 1>the environment because you don't need you don't need fossil fuels,

0:20:06.520 --> 0:20:09.560
<v Speaker 1>and you don't need water to cool them down because

0:20:09.560 --> 0:20:10.119
<v Speaker 1>it's cold up there.

0:20:10.160 --> 0:20:11.439
<v Speaker 2>Because it's cold up there.

0:20:12.040 --> 0:20:15.320
<v Speaker 1>There are of course some downsides as well. Launching rockets

0:20:15.480 --> 0:20:18.280
<v Speaker 1>emits loads and loads and loads of CO two, So

0:20:18.800 --> 0:20:22.080
<v Speaker 1>you have to believe that the price in CO two

0:20:22.200 --> 0:20:25.119
<v Speaker 1>for the rocket launches will be less than the price

0:20:25.200 --> 0:20:28.639
<v Speaker 1>of CO two in fossil fuels burnt to power data

0:20:28.680 --> 0:20:32.480
<v Speaker 1>centers on Earth. One astronomer gave a quote that also,

0:20:32.720 --> 0:20:36.199
<v Speaker 1>so many satellites in low orbit will be quote like

0:20:36.320 --> 0:20:40.600
<v Speaker 1>bugs on a windshield when trying to observe outer space. Really,

0:20:40.880 --> 0:20:43.080
<v Speaker 1>and so you know, you think we talked, I think

0:20:43.080 --> 0:20:44.800
<v Speaker 1>a couple of weeks ago about all this space junk

0:20:44.840 --> 0:20:47.720
<v Speaker 1>raining down from the sky, sending loads more stuff, And

0:20:47.760 --> 0:20:49.040
<v Speaker 1>you also have to step back and ask the question,

0:20:49.400 --> 0:20:52.160
<v Speaker 1>do we really really need this much AI processing power

0:20:52.160 --> 0:20:53.760
<v Speaker 1>that we have to send me a bunch of stuff

0:20:53.800 --> 0:20:54.800
<v Speaker 1>into space.

0:20:54.640 --> 0:20:56.560
<v Speaker 2>In order to do like shouldn't we do less?

0:20:57.680 --> 0:21:01.879
<v Speaker 1>Maybe? But that's unlikely. Elon Musk is also working on

0:21:01.960 --> 0:21:06.040
<v Speaker 1>data centers in space, and Nvidia AI chips are shortly

0:21:06.119 --> 0:21:09.000
<v Speaker 1>to be launched into space this month in partnership with

0:21:09.000 --> 0:21:11.600
<v Speaker 1>a startup called star Cloud to see if they actually

0:21:11.680 --> 0:21:15.119
<v Speaker 1>work in space. I mean, this is living, this is insane.

0:21:15.200 --> 0:21:18.680
<v Speaker 2>They're sending chips. They're sending Nvidia chips to space to

0:21:18.760 --> 0:21:20.800
<v Speaker 2>see if Nvidia chips will work in space.

0:21:20.800 --> 0:21:22.280
<v Speaker 1>As far as I understand, yes, I don't want to

0:21:22.280 --> 0:21:23.320
<v Speaker 1>see what happens.

0:21:23.440 --> 0:21:24.960
<v Speaker 2>I'm not interested in finding out.

0:21:25.000 --> 0:21:26.480
<v Speaker 1>Don't look up it is.

0:21:26.520 --> 0:21:28.600
<v Speaker 2>Don't look up. I have a story that just is

0:21:28.680 --> 0:21:29.760
<v Speaker 2>much more on Earth.

0:21:30.000 --> 0:21:30.199
<v Speaker 5>You know.

0:21:30.280 --> 0:21:33.399
<v Speaker 2>I'm obsessed with school phone bans. And I don't have

0:21:33.440 --> 0:21:35.400
<v Speaker 2>a child, but I think that no.

0:21:35.440 --> 0:21:37.720
<v Speaker 1>Child should use a phone in school ever.

0:21:38.280 --> 0:21:42.600
<v Speaker 2>Really, ever until they're eighteen. Kentucky had a school phone ban,

0:21:43.080 --> 0:21:45.280
<v Speaker 2>and listen to what happened. More people are taking out

0:21:45.280 --> 0:21:46.200
<v Speaker 2>books from the library.

0:21:46.280 --> 0:21:46.560
<v Speaker 1>Well.

0:21:46.880 --> 0:21:49.720
<v Speaker 2>The Jefferson County Public School District in Kentucky reported that

0:21:49.840 --> 0:21:52.639
<v Speaker 2>kids are checking out more books from the library this

0:21:52.720 --> 0:21:55.600
<v Speaker 2>year than last year. One school in the district saw

0:21:55.640 --> 0:21:59.320
<v Speaker 2>an increase of sixty seven percent more checkouts year over year.

0:21:59.760 --> 0:22:02.040
<v Speaker 2>And they're only like, what is it November. There are

0:22:02.080 --> 0:22:04.679
<v Speaker 2>only a few months into school. It has made a

0:22:04.760 --> 0:22:08.280
<v Speaker 2>huge difference, not just for library usage, but administrators are

0:22:08.280 --> 0:22:11.760
<v Speaker 2>hopeful that this trend will do wonders for reading scores,

0:22:12.080 --> 0:22:15.680
<v Speaker 2>and it's already improved at least one student's mental health

0:22:15.720 --> 0:22:18.960
<v Speaker 2>who told a local outlet quote. At first, I was

0:22:19.080 --> 0:22:21.520
<v Speaker 2>really dramatic about the policy. I thought it was going

0:22:21.560 --> 0:22:24.399
<v Speaker 2>to end my whole life. I just realized this is

0:22:24.440 --> 0:22:26.120
<v Speaker 2>a good chance for me to put my phone down

0:22:26.160 --> 0:22:29.280
<v Speaker 2>and start focusing back on school. It helps people socialize

0:22:29.320 --> 0:22:31.800
<v Speaker 2>because this year I have talked to people more than

0:22:31.800 --> 0:22:33.840
<v Speaker 2>in all the twelve years of me being in school.

0:22:33.960 --> 0:22:34.280
<v Speaker 4>Wow.

0:22:35.000 --> 0:22:37.520
<v Speaker 1>You know what is funny? You have a book club? Yes,

0:22:37.720 --> 0:22:39.800
<v Speaker 1>able to social media power use that.

0:22:39.800 --> 0:22:40.280
<v Speaker 2>That's true.

0:22:40.440 --> 0:22:43.120
<v Speaker 1>I if I'm on vacation, I can read quite quite

0:22:43.160 --> 0:22:45.320
<v Speaker 1>easily and happily. If I'm at home, I want to

0:22:45.320 --> 0:22:47.119
<v Speaker 1>read in the evening, I have shut my phone in

0:22:47.119 --> 0:22:47.600
<v Speaker 1>the other room.

0:22:47.720 --> 0:22:48.119
<v Speaker 2>You have to.

0:22:48.440 --> 0:22:50.240
<v Speaker 1>You have to have your phones anywhere near that book

0:22:50.280 --> 0:22:50.640
<v Speaker 1>is normal.

0:22:50.640 --> 0:22:52.800
<v Speaker 2>And we're in our thirties. We're talking about kids who

0:22:52.800 --> 0:22:54.679
<v Speaker 2>are twelve years old who have been in school, or

0:22:55.080 --> 0:22:58.000
<v Speaker 2>fifteen years old. It goes back to the thing like

0:22:58.280 --> 0:23:00.720
<v Speaker 2>if you give someone a phone, and you give someone

0:23:00.720 --> 0:23:04.919
<v Speaker 2>a book, which one was designed using mechanisms that they

0:23:05.000 --> 0:23:06.760
<v Speaker 2>used to create slot machines. Not a book.

0:23:06.800 --> 0:23:09.760
<v Speaker 1>Not a book, Not a book. I have something which

0:23:09.800 --> 0:23:14.919
<v Speaker 1>is the definition of not boring story, the louver Heist.

0:23:15.800 --> 0:23:18.120
<v Speaker 2>I love the lead following Yes, it's the best.

0:23:18.760 --> 0:23:25.200
<v Speaker 1>So the Crown Jewels of France were essentially poloined. Recently,

0:23:25.600 --> 0:23:26.080
<v Speaker 1>in the.

0:23:25.960 --> 0:23:29.400
<v Speaker 2>Age of US sending data centers to space, there are

0:23:29.520 --> 0:23:31.399
<v Speaker 2>still just mom and pop thieves.

0:23:31.600 --> 0:23:34.000
<v Speaker 1>Well that's the thing. So that's so. The original thought was,

0:23:34.000 --> 0:23:36.440
<v Speaker 1>oh my god, this is the most sophisticated criminal gang

0:23:36.480 --> 0:23:38.920
<v Speaker 1>in the world. It turned out to be according to

0:23:38.920 --> 0:23:43.440
<v Speaker 1>the French prostitute of the bunch of local Joshmo, which

0:23:43.560 --> 0:23:47.480
<v Speaker 1>meant that they left their DNA all over the place.

0:23:47.640 --> 0:23:50.840
<v Speaker 1>This is why it's a textuff story. So essentially, in

0:23:50.920 --> 0:23:53.040
<v Speaker 1>France there is a database like there is in the

0:23:53.160 --> 0:23:56.680
<v Speaker 1>US of DNA of people who have been arrested and

0:23:57.000 --> 0:24:00.000
<v Speaker 1>convicted of crimes, and essentially they were able to get

0:24:00.160 --> 0:24:05.040
<v Speaker 1>the DNA from various places, including the Empress Eugenniese Crown,

0:24:05.200 --> 0:24:09.119
<v Speaker 1>which was dropped on the way out, advised and cross

0:24:09.119 --> 0:24:12.120
<v Speaker 1>referenced it with the database of people who had committed

0:24:12.160 --> 0:24:16.600
<v Speaker 1>a crime in France and they got four hits being immediately.

0:24:16.200 --> 0:24:17.160
<v Speaker 2>So easy for them.

0:24:17.400 --> 0:24:20.159
<v Speaker 1>Yeah, what's really interesting here is that the reason the

0:24:20.240 --> 0:24:25.400
<v Speaker 1>DNA samples could catch allegedly the thieves was because these

0:24:25.440 --> 0:24:29.200
<v Speaker 1>people had already committed crimes and been booked about the system.

0:24:29.280 --> 0:24:32.360
<v Speaker 1>So there's four point four million people in France who

0:24:32.400 --> 0:24:34.960
<v Speaker 1>are in this DNA database and they can cross reference.

0:24:35.240 --> 0:24:37.200
<v Speaker 1>That's the same as how it works in the US

0:24:37.200 --> 0:24:40.560
<v Speaker 1>with something called CODIS. You know about COTIS, I do

0:24:40.880 --> 0:24:43.320
<v Speaker 1>the Combined DNA Index System. How do you know about it?

0:24:43.440 --> 0:24:47.280
<v Speaker 2>Because I watched CSI, right, I watch a lot of crimes.

0:24:47.000 --> 0:24:49.440
<v Speaker 1>So CODIS has a lot more hits in it, but

0:24:49.480 --> 0:24:51.680
<v Speaker 1>I think in order of magnitude more. And we actually

0:24:51.680 --> 0:24:55.800
<v Speaker 1>at Kulleioscope have another podcast called America's Crime Lab, which

0:24:55.800 --> 0:24:57.760
<v Speaker 1>I'm going to plug hard here. It is about a

0:24:57.800 --> 0:25:03.119
<v Speaker 1>startup called Othrum who were using forensic DNA techniques, so

0:25:03.400 --> 0:25:07.160
<v Speaker 1>in other words, they can extrapolate based on DNA databases

0:25:07.359 --> 0:25:10.200
<v Speaker 1>even if you haven't already been put in the database

0:25:10.560 --> 0:25:13.520
<v Speaker 1>who you may be based on your relatives and stuff.

0:25:14.119 --> 0:25:17.800
<v Speaker 1>And so they were actually very heavily involved in Golden State,

0:25:17.880 --> 0:25:20.359
<v Speaker 1>well not Golden State actually, but in the Idaho. Oh

0:25:20.359 --> 0:25:23.160
<v Speaker 1>the Idaho, but Golden State was exactly one of these

0:25:23.200 --> 0:25:29.240
<v Speaker 1>cases as well. It's controversial. In France, consumer DNA sort

0:25:29.280 --> 0:25:32.080
<v Speaker 1>of businesses are actually banned. We were talking at the

0:25:32.119 --> 0:25:36.160
<v Speaker 1>beginning of the episode about Germany's history and the armaments industry,

0:25:36.440 --> 0:25:40.000
<v Speaker 1>because in France, the reason consumer genetic companies are banned

0:25:40.119 --> 0:25:45.480
<v Speaker 1>is because of the Holocaust. You know, inferring people's genealogy

0:25:45.680 --> 0:25:48.840
<v Speaker 1>and Jewishness was a way that you know, many many

0:25:48.880 --> 0:25:52.440
<v Speaker 1>people are senter their deaths in France. So it's always

0:25:52.520 --> 0:25:55.040
<v Speaker 1>two sided, right, I mean, you want you want the

0:25:55.560 --> 0:25:58.240
<v Speaker 1>to use the DNA technology to you know, to help

0:25:58.320 --> 0:26:01.560
<v Speaker 1>figure out who to the Jewels.

0:26:01.320 --> 0:26:03.280
<v Speaker 2>But not who is the jew.

0:26:05.119 --> 0:26:05.239
<v Speaker 1>It.

0:26:05.280 --> 0:26:06.800
<v Speaker 2>I can say it. I can say.

0:26:06.640 --> 0:26:17.680
<v Speaker 4>It now for Chat and me.

0:26:18.320 --> 0:26:22.320
<v Speaker 1>I like reading about soccer as you might call it,

0:26:22.560 --> 0:26:25.960
<v Speaker 1>football as I call it on the Guardian, I pretty compulsively.

0:26:26.000 --> 0:26:27.680
<v Speaker 1>I didn't down at for a weird reason like a

0:26:27.720 --> 0:26:30.520
<v Speaker 1>Guardian dot co or UK slash football probably forty times

0:26:30.520 --> 0:26:33.800
<v Speaker 1>a day. I stumbled upon an article with a surprising

0:26:34.400 --> 0:26:38.800
<v Speaker 1>revelation about how professional soccer might be getting help from

0:26:38.920 --> 0:26:39.359
<v Speaker 1>jen Ai.

0:26:39.800 --> 0:26:43.520
<v Speaker 2>I saw this too. Yes. The Seattle rainhead coach Laura

0:26:43.560 --> 0:26:47.359
<v Speaker 2>Harvey confessed on the soccer Is podcast to using chat

0:26:47.400 --> 0:26:49.840
<v Speaker 2>GPT to help coach your team. It was in the

0:26:49.880 --> 0:26:50.320
<v Speaker 2>off season.

0:26:50.359 --> 0:26:52.560
<v Speaker 3>I was like writing things into chat GPT of like

0:26:52.760 --> 0:26:54.960
<v Speaker 3>what is Seattle Rain's identity?

0:26:55.200 --> 0:26:57.400
<v Speaker 2>And it would like spur it out and I was like, no,

0:26:57.400 --> 0:26:57.680
<v Speaker 2>I don't.

0:26:57.840 --> 0:26:58.919
<v Speaker 6>I don't know if that or not.

0:26:59.000 --> 0:27:00.880
<v Speaker 3>And then it would be I would like, what what

0:27:00.960 --> 0:27:03.639
<v Speaker 3>do you need to do to be successful in the NWSL?

0:27:03.680 --> 0:27:06.600
<v Speaker 1>Lot really broad questions so far so generic?

0:27:06.680 --> 0:27:09.200
<v Speaker 2>Yeah, totally. I mean it's what many people do with chat.

0:27:09.240 --> 0:27:12.000
<v Speaker 2>They start small, but then pretty soon you realize you're

0:27:12.040 --> 0:27:14.200
<v Speaker 2>asking a chat but whether or not you should stay

0:27:14.200 --> 0:27:16.360
<v Speaker 2>in your relationship even though your partner didn't show enough

0:27:16.440 --> 0:27:18.960
<v Speaker 2>enthusiasm when you started talking about a fake bird you saw.

0:27:20.840 --> 0:27:22.480
<v Speaker 1>So what happened next with the Seattle.

0:27:22.200 --> 0:27:25.520
<v Speaker 3>Rain and then I put in what formation should you

0:27:25.640 --> 0:27:29.919
<v Speaker 3>play to be NWSL teams? And it spurred out every

0:27:29.960 --> 0:27:32.560
<v Speaker 3>team in the league on what formation you should play?

0:27:32.640 --> 0:27:34.280
<v Speaker 3>And for two teams I'm not going to say who

0:27:34.280 --> 0:27:36.560
<v Speaker 3>they are, they'll know the two teams, it went you

0:27:36.600 --> 0:27:37.440
<v Speaker 3>should play back five.

0:27:37.560 --> 0:27:38.679
<v Speaker 4>So I did you know?

0:27:38.760 --> 0:27:42.000
<v Speaker 1>It's interesting because if all soccer teams are playing against

0:27:42.040 --> 0:27:44.320
<v Speaker 1>each other are using AI tactics, and it's like.

0:27:44.359 --> 0:27:47.800
<v Speaker 2>It's like saying all coaches have the same knowledge base,

0:27:47.880 --> 0:27:48.360
<v Speaker 2>but it's like.

0:27:48.960 --> 0:27:52.920
<v Speaker 1>On acid exactly, except Laura Harvey and the rest of

0:27:52.920 --> 0:27:57.000
<v Speaker 1>the coaching staff, like Talisia, did a deep dive into

0:27:57.000 --> 0:28:00.960
<v Speaker 1>whether or not the defensive tactic recommended by would actually work.

0:28:01.400 --> 0:28:04.200
<v Speaker 1>So again, good to get the prompts or good to

0:28:04.200 --> 0:28:06.199
<v Speaker 1>get the output, and then good to use it for

0:28:06.240 --> 0:28:08.320
<v Speaker 1>your purposes. Yep, smartly.

0:28:08.440 --> 0:28:09.879
<v Speaker 2>So was this a winning strategy?

0:28:10.119 --> 0:28:12.600
<v Speaker 1>Well, Laura didn't say which teams are they played against

0:28:12.720 --> 0:28:16.119
<v Speaker 1>using chats tactics, but Seattle Rain have played with a

0:28:16.160 --> 0:28:19.280
<v Speaker 1>back five at multiple points this season and it seems

0:28:19.320 --> 0:28:21.800
<v Speaker 1>to be paying off. In twenty twenty four, they rank

0:28:21.960 --> 0:28:25.399
<v Speaker 1>second bottom in the league, and this year they're number

0:28:25.440 --> 0:28:28.440
<v Speaker 1>five and heading into the twenty twenty five quarter finals.

0:28:28.080 --> 0:28:30.440
<v Speaker 2>A win for chat GPT. I'm going to be looking

0:28:30.520 --> 0:28:33.000
<v Speaker 2>out for that back five. I'm also going to be

0:28:33.000 --> 0:28:35.080
<v Speaker 2>looking out for submissions for chatting me. We want to

0:28:35.119 --> 0:28:38.800
<v Speaker 2>hear how you were using chatbots to win championships. Email

0:28:38.880 --> 0:29:04.880
<v Speaker 2>us at tex Stuff podcast at gmail dot com. That's

0:29:04.920 --> 0:29:07.440
<v Speaker 2>it for this week for Tech Stuff I'm Kara Price.

0:29:07.320 --> 0:29:09.920
<v Speaker 1>And I'm os Valoshin. This episode was produced by Elisa

0:29:09.960 --> 0:29:13.720
<v Speaker 1>Dennis Tyler Hill and Melissa Slaughter. It was executive produced

0:29:13.720 --> 0:29:17.000
<v Speaker 1>by me Kara Price, Julian Nutter, and Kate Osborne for

0:29:17.080 --> 0:29:21.640
<v Speaker 1>Kaleidoscope and Katria Norvel for iHeart Podcast. The engineer is

0:29:21.680 --> 0:29:25.240
<v Speaker 1>Beheth Fraser and Jack Insley makes this episode. Kyle Murdoch

0:29:25.280 --> 0:29:26.160
<v Speaker 1>wrote up be himself.

0:29:26.360 --> 0:29:28.920
<v Speaker 2>Join us next Wednesday for a deep dive into Nvidia,

0:29:29.280 --> 0:29:33.000
<v Speaker 2>the first publicly traded company to top five trillion dollars

0:29:33.040 --> 0:29:34.480
<v Speaker 2>in market value.

0:29:34.080 --> 0:29:36.560
<v Speaker 1>And please do rate, review and reach out to us

0:29:36.600 --> 0:29:39.400
<v Speaker 1>at tech Stuff Podcast at gmail dot com. We love

0:29:39.400 --> 0:29:39.920
<v Speaker 1>hearing from you