WEBVTT - Week In Tech: Would You Rather Live in a World with No Privacy or No Crime?

0:00:07.880 --> 0:00:18.040
<v Speaker 1>Guys from Kaleidoscope and iHeart Podcasts. This is tech stuff.

0:00:18.200 --> 0:00:21.160
<v Speaker 1>I'm mos Voloscian and I'm Cara Price. Today We've got

0:00:21.200 --> 0:00:24.680
<v Speaker 1>two big stories to break down for you. First, could

0:00:24.800 --> 0:00:28.000
<v Speaker 1>China unseat the US in more than just AI and

0:00:28.080 --> 0:00:33.199
<v Speaker 1>catch up in pharmaceuticals too? Then inmates phone calls with

0:00:33.280 --> 0:00:36.600
<v Speaker 1>loved ones are being used to train AI that then

0:00:36.680 --> 0:00:38.080
<v Speaker 1>monitors their behavior.

0:00:38.520 --> 0:00:40.360
<v Speaker 2>Then we'll tell you about a few other stories that

0:00:40.440 --> 0:00:43.080
<v Speaker 2>caught our eye this week, like how the UK police

0:00:43.120 --> 0:00:46.919
<v Speaker 2>want to cross reference CCTV footage with government databases, and

0:00:47.280 --> 0:00:51.920
<v Speaker 2>how the youngest female self made billionaire made all her money. Finally,

0:00:52.000 --> 0:00:55.160
<v Speaker 2>we discussed giant blueberries and why the company is selling

0:00:55.160 --> 0:00:57.600
<v Speaker 2>them is valued at a billion dollars.

0:00:58.160 --> 0:01:01.400
<v Speaker 3>Then on chat to me, there was concern, you know,

0:01:01.440 --> 0:01:04.559
<v Speaker 3>when two nuclear armed states are on the brink that way,

0:01:04.640 --> 0:01:08.080
<v Speaker 3>that this could escalate and explode not just regionally but internationally.

0:01:08.640 --> 0:01:12.240
<v Speaker 1>All of that on the weekend Tech. It's Friday, December twelfth.

0:01:14.319 --> 0:01:18.480
<v Speaker 2>Hello Cara, Hi Ahs, do you follow art Basil.

0:01:18.800 --> 0:01:22.720
<v Speaker 1>I've never been Miami, I know, but I'm fascinated from Afar.

0:01:22.880 --> 0:01:23.959
<v Speaker 1>It's like the most hype.

0:01:24.280 --> 0:01:27.760
<v Speaker 2>It is the hype beast event of any time in

0:01:28.200 --> 0:01:28.880
<v Speaker 2>human history.

0:01:29.040 --> 0:01:31.320
<v Speaker 1>Last time it broke the internet was with the like

0:01:31.360 --> 0:01:34.399
<v Speaker 1>twenty million dollar banana. That was last year or two

0:01:34.440 --> 0:01:34.839
<v Speaker 1>years ago.

0:01:35.160 --> 0:01:38.560
<v Speaker 2>Probably was for you offensive. It was very offensive. So

0:01:39.080 --> 0:01:40.399
<v Speaker 2>let me ask you a question. Have you seen the

0:01:40.480 --> 0:01:41.679
<v Speaker 2>robot dogs I have?

0:01:42.120 --> 0:01:43.640
<v Speaker 1>Okay, robot dog?

0:01:43.680 --> 0:01:45.240
<v Speaker 2>Would you like to describe them a little bit? What

0:01:45.319 --> 0:01:45.600
<v Speaker 2>you saw?

0:01:45.640 --> 0:01:48.320
<v Speaker 1>Okay? So you remember the Boston Dynamics dogs. Yes, they

0:01:48.360 --> 0:01:52.400
<v Speaker 1>were these sort of uncannily dog like robots that kind

0:01:52.400 --> 0:01:55.760
<v Speaker 1>of pranced a little bit like like not like the accidents,

0:01:55.840 --> 0:01:58.720
<v Speaker 1>like what are those greyhounds like little greyhounds great guns?

0:01:59.320 --> 0:02:05.280
<v Speaker 1>So imagine robot baby prayhounds with very raalistic masks that

0:02:05.360 --> 0:02:06.680
<v Speaker 1>depict teche billionaires.

0:02:07.240 --> 0:02:09.200
<v Speaker 2>You described it perfectly.

0:02:08.840 --> 0:02:10.359
<v Speaker 1>Well together in a kind of pen.

0:02:10.639 --> 0:02:14.960
<v Speaker 2>That's exactly right. So it's an odd group of people

0:02:15.200 --> 0:02:18.480
<v Speaker 2>dogs in this pen. It was Jeff Bezos, Mark Zuckerberg,

0:02:18.560 --> 0:02:22.640
<v Speaker 2>Elon Musk, Pablo Picasso, Andy Warhol, and also a dog

0:02:22.680 --> 0:02:25.919
<v Speaker 2>of the artist people who created the dogs. The masks

0:02:25.960 --> 0:02:27.799
<v Speaker 2>that you were talking about are made by a special

0:02:27.800 --> 0:02:30.480
<v Speaker 2>effects artist, nam Landon Meyer, and they are these hyper

0:02:30.560 --> 0:02:34.519
<v Speaker 2>realistic faces. Is exactly face exactly like human faces.

0:02:34.639 --> 0:02:36.880
<v Speaker 1>So I saw the images, but I didn't really know

0:02:36.919 --> 0:02:38.399
<v Speaker 1>what is this all actually about.

0:02:38.680 --> 0:02:42.520
<v Speaker 2>So basically people wanted to make the point that it

0:02:42.720 --> 0:02:44.760
<v Speaker 2>used to be that we saw the world interpreted through

0:02:44.760 --> 0:02:47.960
<v Speaker 2>the eyes of artists, but now Mark Zuckerberg and Elon

0:02:48.240 --> 0:02:51.359
<v Speaker 2>in particular control a huge amount of how we see

0:02:51.360 --> 0:02:55.160
<v Speaker 2>the world. So he wanted to show that basically they

0:02:55.200 --> 0:02:57.200
<v Speaker 2>are the cultural conduits of our time.

0:02:57.840 --> 0:03:00.240
<v Speaker 1>And what do they do apart from run around the pen?

0:03:00.440 --> 0:03:03.120
<v Speaker 2>So this is what I love. So they run around

0:03:03.160 --> 0:03:05.200
<v Speaker 2>the pen, but when you watch them, you can kind

0:03:05.240 --> 0:03:07.880
<v Speaker 2>of see them, what's the word that I'm looking for,

0:03:08.120 --> 0:03:13.200
<v Speaker 2>shitting out pictures that are in the style of the

0:03:13.320 --> 0:03:16.520
<v Speaker 2>artists that they are depicting or the tech bro So,

0:03:16.880 --> 0:03:19.840
<v Speaker 2>for example, the Andy Warhol robot dog will produce an

0:03:19.840 --> 0:03:23.000
<v Speaker 2>image that looks like a silk screen, and Picasso's is cubism,

0:03:23.280 --> 0:03:26.720
<v Speaker 2>Elons is black and white, and Zucks, to quote people

0:03:27.000 --> 0:03:28.639
<v Speaker 2>looks like the metaverse.

0:03:28.760 --> 0:03:31.000
<v Speaker 1>Wow, So are they are the dogs? Are they taking

0:03:31.000 --> 0:03:33.480
<v Speaker 1>photos of stuff they're seeing in the audience and then

0:03:33.560 --> 0:03:35.320
<v Speaker 1>turning them into works.

0:03:35.080 --> 0:03:37.760
<v Speaker 2>Of arts works of art? That's correct, but the actual

0:03:37.840 --> 0:03:41.000
<v Speaker 2>dogs themselves are selling for one hundred thousand dollars each.

0:03:41.280 --> 0:03:44.400
<v Speaker 2>Imagine just having someone in your house and they're being

0:03:44.480 --> 0:03:46.680
<v Speaker 2>a little Elon musk dog running.

0:03:46.360 --> 0:03:48.800
<v Speaker 1>Around taking photos of your guests and then pooping them

0:03:48.800 --> 0:03:52.640
<v Speaker 1>out crazy. I gather though, that the Bezos dog is

0:03:52.680 --> 0:03:56.440
<v Speaker 1>not for sale and doesn't poop. That's because he's King

0:03:56.440 --> 0:03:57.000
<v Speaker 1>of the Teche Brothers.

0:03:57.000 --> 0:03:58.960
<v Speaker 2>That's because he's king of the tech Bros. I just

0:03:59.000 --> 0:04:01.320
<v Speaker 2>thought it was an interesting story to start with because

0:04:01.320 --> 0:04:03.960
<v Speaker 2>I think that People is making an interesting point.

0:04:04.040 --> 0:04:07.240
<v Speaker 1>It's a tech Burrows world. We just shouldn't it.

0:04:07.920 --> 0:04:09.080
<v Speaker 2>This is me high fiving them.

0:04:09.240 --> 0:04:09.440
<v Speaker 3>Yeah.

0:04:09.480 --> 0:04:11.840
<v Speaker 1>And also, I mean, look, so people really shot to

0:04:11.880 --> 0:04:14.400
<v Speaker 1>fame during the height of the NFT craz That's right.

0:04:14.440 --> 0:04:17.040
<v Speaker 1>He sold one a single NFT for I think sixty

0:04:17.160 --> 0:04:19.839
<v Speaker 1>nine millions dollars.

0:04:19.560 --> 0:04:22.479
<v Speaker 2>Which speaking of something that Bess could shot out that

0:04:22.560 --> 0:04:23.240
<v Speaker 2>amount of money.

0:04:23.760 --> 0:04:25.520
<v Speaker 1>And I believe some of the images that the dogs

0:04:25.600 --> 0:04:29.279
<v Speaker 1>poop out our NFTs that you can also buy. And People,

0:04:29.520 --> 0:04:31.640
<v Speaker 1>as you mentioned earlier, is also one of the dogs.

0:04:31.640 --> 0:04:34.240
<v Speaker 1>So I think he's poking fun at himself and his

0:04:34.600 --> 0:04:38.320
<v Speaker 1>ovre a little bit absolutely right here too. And I

0:04:38.320 --> 0:04:41.960
<v Speaker 1>mean you could say this is absolutely grotesque and.

0:04:42.120 --> 0:04:43.400
<v Speaker 2>People are paying money for it.

0:04:43.480 --> 0:04:46.359
<v Speaker 1>On the other hand, the guy is a master capturing

0:04:46.440 --> 0:04:49.840
<v Speaker 1>people's attention, getting the hype cycle, and forcing people to talk.

0:04:50.120 --> 0:04:51.640
<v Speaker 1>When was the last time you saw an article in

0:04:51.720 --> 0:04:55.760
<v Speaker 1>page six questioning how the tech oligarchs made us see

0:04:55.760 --> 0:04:56.719
<v Speaker 1>the world through their filter.

0:04:57.320 --> 0:04:58.600
<v Speaker 2>He did it, He did it, He did it.

0:04:58.640 --> 0:05:00.800
<v Speaker 1>Good on you people. Yeah, I'd like to move on

0:05:00.960 --> 0:05:05.440
<v Speaker 1>now from big tech to big farm and specifically take

0:05:05.480 --> 0:05:08.920
<v Speaker 1>investments in and around pharmaceuticals. A while back, I read

0:05:08.920 --> 0:05:11.719
<v Speaker 1>this piece in the Ft which asked the question why

0:05:11.839 --> 0:05:14.359
<v Speaker 1>is AI struggling to discover new drugs?

0:05:14.520 --> 0:05:17.400
<v Speaker 2>Because why is AI struggling to find new drugs?

0:05:17.480 --> 0:05:20.440
<v Speaker 1>Well, that's a good rually tell me. I didn't really

0:05:20.480 --> 0:05:23.280
<v Speaker 1>realize this until I read the ftpiece. Obviously, I'm fully

0:05:23.279 --> 0:05:25.839
<v Speaker 1>aware of all the investment in AI drug discovery now,

0:05:26.279 --> 0:05:28.320
<v Speaker 1>but it turned out there was kind of a first

0:05:28.360 --> 0:05:32.080
<v Speaker 1>wave in the like twenty thirteen to twenty seventeen period

0:05:32.160 --> 0:05:36.120
<v Speaker 1>where hundreds of millions of dollars was invested, And the

0:05:36.200 --> 0:05:38.880
<v Speaker 1>kind of period when you would normally expect a drug

0:05:38.920 --> 0:05:41.040
<v Speaker 1>to come to market is about ten years.

0:05:41.600 --> 0:05:44.120
<v Speaker 2>So if my math is right, we should be seeing

0:05:44.400 --> 0:05:46.440
<v Speaker 2>like a whole bunch of new drugs come onto the

0:05:46.440 --> 0:05:47.200
<v Speaker 2>market now.

0:05:47.120 --> 0:05:49.640
<v Speaker 1>That's right, But we're not and according to the Ft,

0:05:50.000 --> 0:05:53.200
<v Speaker 1>there's a few reasons for that. One is money. Essentially,

0:05:53.560 --> 0:05:56.520
<v Speaker 1>these companies couldn't bring their product to market quick enough

0:05:56.800 --> 0:05:59.840
<v Speaker 1>to keep raising money to keep their companies alive, and

0:06:00.040 --> 0:06:02.719
<v Speaker 1>investors lost patients. I mean, to be fair to these companies,

0:06:02.760 --> 0:06:05.640
<v Speaker 1>drug discovery and the trials to actually bring drugs to

0:06:05.720 --> 0:06:09.400
<v Speaker 1>market are incredibly expensive, which is part of the reason

0:06:09.440 --> 0:06:12.880
<v Speaker 1>why these big farmer companies have such a lock on healthcare,

0:06:12.880 --> 0:06:15.840
<v Speaker 1>because they're the only people who can afford these cycles.

0:06:15.360 --> 0:06:18.320
<v Speaker 2>Right, right, right, So it was more of a funding issue. Ultimately,

0:06:18.480 --> 0:06:18.960
<v Speaker 2>I think it.

0:06:18.880 --> 0:06:21.320
<v Speaker 1>Was a funding issue and also a technology issue. I mean,

0:06:21.520 --> 0:06:25.120
<v Speaker 1>don't forget Back in the day, the AI tools were

0:06:25.200 --> 0:06:27.840
<v Speaker 1>nowhere near where they are today, So you basically have

0:06:27.920 --> 0:06:31.560
<v Speaker 1>to choose one problem and develop a specific AI to

0:06:31.640 --> 0:06:34.240
<v Speaker 1>tackle it, whereas now you have these broad AIS that

0:06:34.279 --> 0:06:38.600
<v Speaker 1>can tackle multiple problems simultaneously. So basically, according to the Ft,

0:06:38.920 --> 0:06:41.599
<v Speaker 1>the decade long clock kind of got reset in the

0:06:41.640 --> 0:06:45.719
<v Speaker 1>aftermath of the chetchipt moment two twenty twenty three, twenty

0:06:45.760 --> 0:06:49.120
<v Speaker 1>twenty four. So what happens next, Well, we'll have to

0:06:49.160 --> 0:06:52.560
<v Speaker 1>wait and see whether this great promise of AI to

0:06:52.600 --> 0:06:55.279
<v Speaker 1>deliver new drugs takes place in the next five to

0:06:55.360 --> 0:06:58.560
<v Speaker 1>seven years. One veteran chemist interviewed in the piece said

0:06:58.560 --> 0:07:02.640
<v Speaker 1>the drug discovery is quote probably the hardest thing mankind

0:07:02.880 --> 0:07:06.559
<v Speaker 1>tries to do. Another person said, who's actually a founder

0:07:06.600 --> 0:07:09.359
<v Speaker 1>of one of these new generation drug companies? Quote? I

0:07:09.480 --> 0:07:11.760
<v Speaker 1>used to say we were the industry with the highest

0:07:11.760 --> 0:07:15.640
<v Speaker 1>failure rate of anything but Space Explorer space. And then

0:07:15.720 --> 0:07:18.680
<v Speaker 1>she goes on to say space explorations started to work.

0:07:19.240 --> 0:07:21.840
<v Speaker 2>Wow to see, Yeah, that's very interesting.

0:07:21.960 --> 0:07:24.880
<v Speaker 1>I read another piece in the Ft, also discovery. I

0:07:25.320 --> 0:07:27.280
<v Speaker 1>love the Ft and I guess I love drugtor Sorry.

0:07:27.440 --> 0:07:30.480
<v Speaker 1>The question this piece asked is will the next blockbuster

0:07:30.560 --> 0:07:31.640
<v Speaker 1>drug come from China?

0:07:31.680 --> 0:07:34.040
<v Speaker 2>Well, that's really interesting. So there's almost like a parallel

0:07:34.160 --> 0:07:37.000
<v Speaker 2>arms race in pharma and AI with China.

0:07:37.000 --> 0:07:39.760
<v Speaker 1>And the INTERSETXT and you can kind of see American

0:07:39.840 --> 0:07:43.600
<v Speaker 1>farmer companies begin to make very substantial investments in China.

0:07:43.640 --> 0:07:47.000
<v Speaker 1>For example, Novo Nordics, the company who developed a zepig,

0:07:47.520 --> 0:07:50.480
<v Speaker 1>paid a Chinese company up to two billion dollars to

0:07:50.560 --> 0:07:54.360
<v Speaker 1>license a next gen weight loss drug. So yeah, it's

0:07:54.440 --> 0:07:57.480
<v Speaker 1>kind of it's that's kind of parallel thing where China

0:07:57.680 --> 0:08:00.440
<v Speaker 1>was the factory for US innovation for so long and

0:08:00.480 --> 0:08:03.560
<v Speaker 1>now are starting to really develop and refine and make

0:08:03.640 --> 0:08:07.480
<v Speaker 1>better products, or at least equally good products, faster and cheaper.

0:08:07.720 --> 0:08:08.640
<v Speaker 2>So how are they doing this?

0:08:09.240 --> 0:08:11.760
<v Speaker 1>Well, I mean, it's kind of that thing where the

0:08:11.800 --> 0:08:15.040
<v Speaker 1>government says this is a priority, and also we'll just

0:08:15.080 --> 0:08:17.200
<v Speaker 1>cut through all of the red tape required, will make

0:08:17.360 --> 0:08:20.760
<v Speaker 1>trials easier, will make recruiting for trials easier, will approve

0:08:20.800 --> 0:08:23.280
<v Speaker 1>the construction of new facilities in days rather than months

0:08:23.360 --> 0:08:26.160
<v Speaker 1>or years. They basically said, this is a government priority

0:08:26.160 --> 0:08:28.640
<v Speaker 1>to become a leader in pharmaceuticals, and therefore we will

0:08:28.680 --> 0:08:32.960
<v Speaker 1>remove absolutely every obstacle, whether it's financial, whether it's regulatory,

0:08:33.200 --> 0:08:35.679
<v Speaker 1>to bringing drugs to market fast. And looks like it's

0:08:35.679 --> 0:08:36.280
<v Speaker 1>signing to work.

0:08:36.520 --> 0:08:38.000
<v Speaker 2>So what does this mean for the US?

0:08:38.120 --> 0:08:40.439
<v Speaker 1>Exactly? Well, these Chinese drug makers are now developing drugs

0:08:40.480 --> 0:08:43.959
<v Speaker 1>two or three times faster than most other countries. They're

0:08:44.000 --> 0:08:47.400
<v Speaker 1>still a long long way off. Like the twenty largest

0:08:47.480 --> 0:08:50.720
<v Speaker 1>farmer companies in the world don't include a single Chinese one.

0:08:51.000 --> 0:08:53.680
<v Speaker 1>The top ten are very much dominated by the US.

0:08:54.280 --> 0:08:58.439
<v Speaker 1>But you know, it's another area where strategic competition is

0:08:58.480 --> 0:09:01.960
<v Speaker 1>starting to make itself known. And crucially, one in four

0:09:02.080 --> 0:09:06.200
<v Speaker 1>generic drugs consumed in the US, like tylan Nol has

0:09:06.559 --> 0:09:09.160
<v Speaker 1>ingredients that come from China to manufactured in China. So

0:09:09.440 --> 0:09:12.520
<v Speaker 1>you can see this real point of leverage brewing both

0:09:12.559 --> 0:09:16.120
<v Speaker 1>with access generic drugs, but also China can overtake the

0:09:16.200 --> 0:09:19.439
<v Speaker 1>US as the drug innovator record. It's kind of another

0:09:20.040 --> 0:09:23.439
<v Speaker 1>area where the US ability to create the most valuable

0:09:23.480 --> 0:09:25.600
<v Speaker 1>IP in the world is under threat.

0:09:26.000 --> 0:09:27.760
<v Speaker 2>So as I want to bring you a story that

0:09:27.880 --> 0:09:31.920
<v Speaker 2>really pissed me off, which is not something that I

0:09:31.960 --> 0:09:32.600
<v Speaker 2>share all the.

0:09:32.559 --> 0:09:34.960
<v Speaker 1>Time year that's time I heard you say something that yeah, sure,

0:09:34.960 --> 0:09:35.360
<v Speaker 1>well you.

0:09:35.280 --> 0:09:38.400
<v Speaker 2>Know, my therapist says, I'm not quick to express anger.

0:09:38.559 --> 0:09:40.160
<v Speaker 2>But this is this was actually a story I read

0:09:40.160 --> 0:09:43.959
<v Speaker 2>and I felt like viscerally angry about it. So it's

0:09:44.000 --> 0:09:47.240
<v Speaker 2>from the MIT Technology Review and it's about how private

0:09:47.320 --> 0:09:51.000
<v Speaker 2>prisons are now training AI on prisoner phone calls.

0:09:51.360 --> 0:09:52.040
<v Speaker 1>What does that mean?

0:09:52.200 --> 0:09:54.720
<v Speaker 2>You know, when you make a phone call from prison,

0:09:55.000 --> 0:09:57.560
<v Speaker 2>there are two companies that essentially allow you to do that.

0:09:57.440 --> 0:10:00.240
<v Speaker 1>And they charge you like a lot regions.

0:10:00.000 --> 0:10:01.439
<v Speaker 2>So it's a huge amount of money.

0:10:01.520 --> 0:10:03.439
<v Speaker 1>That's right for the privilege or someone even say, the

0:10:03.520 --> 0:10:05.600
<v Speaker 1>human right of being on to talk to your family.

0:10:05.679 --> 0:10:09.400
<v Speaker 2>That's exactly right, do you know how big this business is?

0:10:10.320 --> 0:10:13.320
<v Speaker 1>I know there's a despicable number of people in cost

0:10:13.400 --> 0:10:14.160
<v Speaker 1>raids in the US.

0:10:14.240 --> 0:10:17.280
<v Speaker 2>The inmate calling system is a one point two billion

0:10:17.320 --> 0:10:18.360
<v Speaker 2>dollar business.

0:10:18.080 --> 0:10:19.480
<v Speaker 1>Just the calling system, that's correct.

0:10:20.000 --> 0:10:23.480
<v Speaker 2>The story focuses on a company called securest Technologies. They're

0:10:23.520 --> 0:10:26.480
<v Speaker 2>one of two companies that specialize in the prison phone system.

0:10:26.679 --> 0:10:29.800
<v Speaker 2>The thing that really caught my attention in this article

0:10:30.000 --> 0:10:32.960
<v Speaker 2>is that Securist has been investing in voice recognition products

0:10:33.000 --> 0:10:36.880
<v Speaker 2>since twenty nineteen and AI products since twenty twenty three,

0:10:37.440 --> 0:10:42.280
<v Speaker 2>which means they've been training their own lms on these

0:10:42.320 --> 0:10:43.320
<v Speaker 2>phone calls.

0:10:43.080 --> 0:10:45.920
<v Speaker 1>So they own the basically the whole batch of recordings

0:10:45.960 --> 0:10:48.400
<v Speaker 1>and can use it for whatever experiments they want to run.

0:10:48.440 --> 0:10:51.160
<v Speaker 2>I mean, the experiment that they apparently are running is

0:10:51.600 --> 0:10:54.480
<v Speaker 2>building large language models that are going to help law

0:10:54.559 --> 0:11:00.920
<v Speaker 2>enforcement track and basically predict ifs are going to happen

0:11:00.920 --> 0:11:02.800
<v Speaker 2>on the basis of what people are talking about in

0:11:02.840 --> 0:11:07.640
<v Speaker 2>their prison phone calls. It's surveillance on a level like

0:11:07.960 --> 0:11:11.800
<v Speaker 2>you know, you think about panoptic power, and this is

0:11:12.000 --> 0:11:17.320
<v Speaker 2>like the panopticon having another reason to be a panopticon. Yeah,

0:11:17.559 --> 0:11:20.760
<v Speaker 2>so we know that llms are being piloted in certain markets,

0:11:20.760 --> 0:11:24.280
<v Speaker 2>but we don't know which markets. And actually, the securest

0:11:24.280 --> 0:11:28.199
<v Speaker 2>president Kevin Elder told the MIT Technology Review that securists

0:11:28.400 --> 0:11:32.079
<v Speaker 2>monitoring efforts have helped disrupt human trafficking and gang activities

0:11:32.200 --> 0:11:35.480
<v Speaker 2>organized from within prisons, among other crimes, and said its

0:11:35.520 --> 0:11:39.240
<v Speaker 2>tools are also used to identify prison staff who are

0:11:39.240 --> 0:11:41.040
<v Speaker 2>bringing in Contraband what.

0:11:41.160 --> 0:11:44.960
<v Speaker 1>Do prison advocates, I mean, there was a potcast. They

0:11:45.000 --> 0:11:45.360
<v Speaker 1>hate it.

0:11:46.080 --> 0:11:48.599
<v Speaker 2>They hate it. A woman named Bianca Tileck from the

0:11:48.679 --> 0:11:51.600
<v Speaker 2>organization Worth Rises, I think set it really the best,

0:11:51.640 --> 0:11:54.600
<v Speaker 2>which is she said, there's literally no other way you

0:11:54.600 --> 0:11:57.280
<v Speaker 2>can communicate with your family. Not only are you not

0:11:57.480 --> 0:11:59.920
<v Speaker 2>compensating them for the use of their data, but you're

0:12:00.120 --> 0:12:02.520
<v Speaker 2>actually charging them to collect their data.

0:12:02.679 --> 0:12:06.439
<v Speaker 1>Yeah, I mean it does kind of stick in your

0:12:06.559 --> 0:12:08.640
<v Speaker 1>crawl a bit, doesn't it.

0:12:08.280 --> 0:12:11.160
<v Speaker 2>It sticks in my cry, you could say, yeah, I

0:12:11.160 --> 0:12:13.640
<v Speaker 2>mean what infuriates me is that if inmates want to

0:12:13.679 --> 0:12:16.720
<v Speaker 2>communicate with the outside world, they have to play within

0:12:16.760 --> 0:12:18.400
<v Speaker 2>this system. Like they don't have a choice of how

0:12:18.440 --> 0:12:21.760
<v Speaker 2>they're making phone calls, and so while they're informed that

0:12:21.800 --> 0:12:25.080
<v Speaker 2>their messages are being recorded, they aren't informed about how

0:12:25.120 --> 0:12:26.720
<v Speaker 2>this data is used at all.

0:12:27.080 --> 0:12:31.679
<v Speaker 1>Now, do you think the reason this story strikes us

0:12:31.720 --> 0:12:36.640
<v Speaker 1>both is because we are such sort of empathetic people,

0:12:37.320 --> 0:12:41.559
<v Speaker 1>or is it because in some sense it's a grotesquely

0:12:41.640 --> 0:12:46.160
<v Speaker 1>magnified pastiche of the experience of being a citizen in

0:12:46.200 --> 0:12:47.240
<v Speaker 1>the twenty first century.

0:12:47.400 --> 0:12:51.360
<v Speaker 2>I do think that yes, this is a magnified version

0:12:51.640 --> 0:12:55.640
<v Speaker 2>of a surveillance capitalist state that we all live in,

0:12:55.960 --> 0:12:58.760
<v Speaker 2>that we experience on a daily basis giving away data

0:12:59.280 --> 0:13:00.160
<v Speaker 2>for free.

0:13:00.520 --> 0:13:03.800
<v Speaker 1>I guess the difference is that we technically theoretically can

0:13:03.920 --> 0:13:06.400
<v Speaker 1>use duc dot go instead of Google and not right.

0:13:06.280 --> 0:13:09.280
<v Speaker 2>We have tools that help us dog GPN.

0:13:09.720 --> 0:13:11.839
<v Speaker 1>We have a choice which most of us don't exercise.

0:13:12.400 --> 0:13:14.720
<v Speaker 2>Choice within our non choice exactly.

0:13:14.480 --> 0:13:17.240
<v Speaker 1>Whether this is like, you know, well, your choice is

0:13:17.280 --> 0:13:18.640
<v Speaker 1>not to communicate. I guess yeah.

0:13:18.640 --> 0:13:24.120
<v Speaker 2>And it's just I understand I suppose I understand the

0:13:24.160 --> 0:13:28.719
<v Speaker 2>need to stop human trafficking, for example, or I have

0:13:28.840 --> 0:13:33.119
<v Speaker 2>the understanding that it's important to stop you know, drug trafficking,

0:13:33.320 --> 0:13:35.480
<v Speaker 2>or you know, a legal contraband coming into a prison.

0:13:35.960 --> 0:13:42.360
<v Speaker 2>This just seems like the easiest, most crass way to

0:13:42.840 --> 0:13:44.360
<v Speaker 2>possibly surveil people.

0:13:44.480 --> 0:13:46.800
<v Speaker 1>I also think, you know, it's such an easy thing

0:13:46.840 --> 0:13:49.920
<v Speaker 1>to productize and say, like put these super predators in

0:13:49.960 --> 0:13:53.200
<v Speaker 1>prison listening on these on their calls, and then this

0:13:53.360 --> 0:13:57.320
<v Speaker 1>infallible technology AI tool will tell you who's the baddest

0:13:57.320 --> 0:13:59.160
<v Speaker 1>of the bad And it's just like really, It's.

0:13:59.000 --> 0:14:00.840
<v Speaker 2>Also like, is this where we need to be applying

0:14:00.880 --> 0:14:04.120
<v Speaker 2>AI tools? Like that's I just feel like money?

0:14:04.120 --> 0:14:05.040
<v Speaker 1>What about rehabilitation?

0:14:05.120 --> 0:14:09.880
<v Speaker 2>Rehabilitation programs? Precisely so, while I don't think twice about

0:14:09.960 --> 0:14:12.400
<v Speaker 2>accepting cookies or giving away my data, I do at

0:14:12.480 --> 0:14:15.760
<v Speaker 2>least have the choice to care without completely cutting myself

0:14:15.760 --> 0:14:16.840
<v Speaker 2>off from the outside world.

0:14:17.200 --> 0:14:18.720
<v Speaker 1>Yeah, if I think you make a good point, which

0:14:18.760 --> 0:14:23.160
<v Speaker 1>is like you can support the goals of law enforcement,

0:14:23.200 --> 0:14:25.320
<v Speaker 1>like we don't want human trafficing all these things you've mentioned,

0:14:25.640 --> 0:14:28.960
<v Speaker 1>and still have questions about this pick particular technique. I

0:14:29.000 --> 0:14:30.960
<v Speaker 1>mean to me, the kind of framing question which we're

0:14:30.960 --> 0:14:32.440
<v Speaker 1>going to come back to after the break in the

0:14:32.480 --> 0:14:36.920
<v Speaker 1>story I'm going to tell you is philosophically, would you

0:14:37.040 --> 0:14:40.360
<v Speaker 1>rather live in a world with no privacy or in

0:14:40.360 --> 0:14:41.280
<v Speaker 1>a world with no crime?

0:14:41.640 --> 0:14:42.480
<v Speaker 2>That's a good question.

0:14:42.640 --> 0:14:45.400
<v Speaker 1>We're going to come back to it, and we're also

0:14:45.440 --> 0:14:49.120
<v Speaker 1>going to talk about the world's youngest female self made

0:14:49.120 --> 0:14:52.760
<v Speaker 1>billionaire and why people are getting addicted to giant fruit

0:15:00.160 --> 0:15:02.680
<v Speaker 1>and we're back. Do you know the phrase one nation

0:15:02.800 --> 0:15:03.600
<v Speaker 1>on the CCTV.

0:15:03.760 --> 0:15:05.560
<v Speaker 2>I know the phrase one nation under God.

0:15:05.760 --> 0:15:09.320
<v Speaker 1>That's one nation on the CTV was another contemporary artist

0:15:09.400 --> 0:15:11.480
<v Speaker 1>who was the People of the.

0:15:11.360 --> 0:15:14.760
<v Speaker 2>Pre NFT era Banks Banks c Yes.

0:15:14.960 --> 0:15:19.360
<v Speaker 1>This phrase was graffited by banks outside London Post office

0:15:19.400 --> 0:15:23.560
<v Speaker 1>in two thousand and eight. According to conservative newspaper in Britain,

0:15:23.600 --> 0:15:27.240
<v Speaker 1>the Telegraph, the UK could be on a path now

0:15:27.520 --> 0:15:32.520
<v Speaker 1>to becoming one nation under AI enabled CCTV thanks to

0:15:32.560 --> 0:15:34.720
<v Speaker 1>a new proposal from the Labor government.

0:15:34.920 --> 0:15:35.720
<v Speaker 2>Say more about this.

0:15:36.080 --> 0:15:38.520
<v Speaker 1>So, according to Telegraph, which is not a fan of

0:15:38.560 --> 0:15:40.720
<v Speaker 1>the Labor government, less sweet and just put our cards

0:15:40.760 --> 0:15:44.160
<v Speaker 1>on the table. Yeah, Labor is proposing that police be

0:15:44.200 --> 0:15:48.800
<v Speaker 1>allowed to compare photos of crime suspects from CCTV doorbells

0:15:48.880 --> 0:15:54.080
<v Speaker 1>and dash cams against facial images on government databases, including

0:15:54.120 --> 0:15:57.400
<v Speaker 1>the passports of forty five million Britons.

0:15:58.120 --> 0:16:01.800
<v Speaker 2>What yeah, So why are they proposing this?

0:16:02.040 --> 0:16:04.120
<v Speaker 1>Well, it comes back to the story we were talking

0:16:04.120 --> 0:16:07.320
<v Speaker 1>about before the break, right, Like they're proposing this because

0:16:07.840 --> 0:16:12.640
<v Speaker 1>they say that having CCTV cameras everywhere in Britain which

0:16:12.720 --> 0:16:16.320
<v Speaker 1>are hooked into the mainframe of the passport photo database

0:16:16.640 --> 0:16:20.280
<v Speaker 1>will allow it to be possible to stop crime in

0:16:20.320 --> 0:16:23.520
<v Speaker 1>real time, to take sexual predators off the streets before

0:16:23.560 --> 0:16:27.280
<v Speaker 1>they offend again, etcetera, etcetera, etcetera. But some are saying,

0:16:27.600 --> 0:16:30.440
<v Speaker 1>I think, frankly, including me, hold on a second, when

0:16:30.480 --> 0:16:33.600
<v Speaker 1>I wanted to get my passport, I didn't consent to

0:16:33.680 --> 0:16:38.280
<v Speaker 1>having my face be available for a live panoptic prison system.

0:16:38.360 --> 0:16:40.800
<v Speaker 2>Well, very similarly to what we were saying is that

0:16:40.840 --> 0:16:43.680
<v Speaker 2>when prisoners consent to make phone calls that are being recorded,

0:16:43.960 --> 0:16:46.240
<v Speaker 2>I can't imagine that they are thinking these recordings will

0:16:46.240 --> 0:16:47.720
<v Speaker 2>be used to train lllms.

0:16:48.000 --> 0:16:50.600
<v Speaker 1>And there's all these problems of bias in these facial

0:16:50.640 --> 0:16:53.480
<v Speaker 1>recognition systems, which we start talking about. What we've talked

0:16:53.480 --> 0:16:55.560
<v Speaker 1>about it to a blue in the face, but haven't

0:16:55.560 --> 0:16:58.080
<v Speaker 1>really been addressed or properly addressed, which is, if you're

0:16:58.080 --> 0:17:01.360
<v Speaker 1>a person of color, you're much well ke's be misidentified.

0:17:01.600 --> 0:17:04.720
<v Speaker 1>But again there's this like technological logic where because it's

0:17:04.760 --> 0:17:08.560
<v Speaker 1>tech enabled, people believe it's true. And it brings me

0:17:08.600 --> 0:17:12.280
<v Speaker 1>back to that question about like, yes, in theory, like

0:17:12.640 --> 0:17:15.399
<v Speaker 1>I would like people who are dangerous criminals to be

0:17:15.680 --> 0:17:18.840
<v Speaker 1>very quickly taken off the streets for the event. But

0:17:18.920 --> 0:17:22.399
<v Speaker 1>do I want the police to have unfettered access to

0:17:22.640 --> 0:17:26.320
<v Speaker 1>the whole passport database? I mean, in a just society

0:17:27.000 --> 0:17:31.680
<v Speaker 1>where you have confidence in the government, a democratic government

0:17:31.720 --> 0:17:37.680
<v Speaker 1>whose values you share, maybe this is okay. Maybe, But

0:17:37.880 --> 0:17:40.120
<v Speaker 1>what happens when this falls into the wrong hands.

0:17:39.960 --> 0:17:41.680
<v Speaker 2>Right exactly exactly?

0:17:41.720 --> 0:17:44.000
<v Speaker 1>You know, there's just there's so many ways to turn

0:17:44.080 --> 0:17:47.000
<v Speaker 1>this into a system for extreme evil.

0:17:47.040 --> 0:17:50.479
<v Speaker 2>I think, and we saw it happen with Wigers, with

0:17:50.480 --> 0:17:53.119
<v Speaker 2>the weaker minority in China, Like it can happen very easily.

0:17:53.200 --> 0:17:55.480
<v Speaker 2>It's not like it hasn't happened easily. There was an

0:17:55.640 --> 0:17:59.880
<v Speaker 2>entire system that the Chinese government had called ijop, which

0:18:00.119 --> 0:18:04.840
<v Speaker 2>is essentially to collect data from tons of sources that

0:18:04.920 --> 0:18:07.800
<v Speaker 2>are being used by average Chinese citizens. So it's it's

0:18:07.800 --> 0:18:09.520
<v Speaker 2>not crazy to imagine.

0:18:09.160 --> 0:18:11.560
<v Speaker 1>No, I mean, I think it's you know, the irony

0:18:11.600 --> 0:18:13.920
<v Speaker 1>of this whole story is ten years ago we were saying,

0:18:13.920 --> 0:18:16.720
<v Speaker 1>oh my god, China has built this surveillance stage and

0:18:16.720 --> 0:18:19.600
<v Speaker 1>official recognition of our life. I'm not awful. It's just

0:18:19.600 --> 0:18:22.840
<v Speaker 1>an ironic moment where our political systems are under so

0:18:22.960 --> 0:18:26.399
<v Speaker 1>much strain that we have this aspiration to things that

0:18:26.800 --> 0:18:28.720
<v Speaker 1>filled us with horror alto recently.

0:18:28.960 --> 0:18:32.920
<v Speaker 2>Yeah, so let's have a question for you. How many

0:18:33.000 --> 0:18:34.480
<v Speaker 2>female billionaires can you name?

0:18:35.080 --> 0:18:41.119
<v Speaker 1>Is Nancy pelosia billionaire? You know there's a fund you

0:18:41.119 --> 0:18:44.120
<v Speaker 1>can use to track Nancy Pelosi's trades and make them yourself.

0:18:44.200 --> 0:18:46.040
<v Speaker 2>Really, Oh, I have never seen that on the train.

0:18:47.840 --> 0:18:49.119
<v Speaker 1>Okay, but but Nancy Pelosi did not.

0:18:49.400 --> 0:18:53.560
<v Speaker 2>Nancy is definitely not one I trolling. So this week

0:18:54.000 --> 0:18:55.399
<v Speaker 2>I was trying, like I was trying to think, like,

0:18:55.440 --> 0:18:58.240
<v Speaker 2>who's a female billionaire? Who's a female billionaire? And I

0:18:58.320 --> 0:19:01.560
<v Speaker 2>was thinking about it because the world has a new

0:19:01.600 --> 0:19:04.479
<v Speaker 2>billionaire and she just happens to be the youngest female

0:19:04.560 --> 0:19:06.160
<v Speaker 2>self made billionaire to date.

0:19:06.320 --> 0:19:06.720
<v Speaker 1>Wow.

0:19:07.040 --> 0:19:09.960
<v Speaker 2>And for the sake of our show, she works in technology.

0:19:10.040 --> 0:19:11.159
<v Speaker 1>Wow. I'd love to have her own who is?

0:19:11.200 --> 0:19:12.680
<v Speaker 2>She told me we should we should have her on.

0:19:12.760 --> 0:19:15.119
<v Speaker 2>Actually she's really interesting. So last week, you know, we

0:19:15.119 --> 0:19:18.280
<v Speaker 2>talked about polymarket, which is the online prediction market that

0:19:18.440 --> 0:19:22.680
<v Speaker 2>continues to kind of discuss me. But the woman who

0:19:22.720 --> 0:19:25.919
<v Speaker 2>is now a billionaire co founded poly Market's competitor, which,

0:19:26.000 --> 0:19:27.960
<v Speaker 2>as you know, is caw she that's.

0:19:27.880 --> 0:19:30.119
<v Speaker 1>Correct, which sounds like a breakfast here like used to

0:19:30.160 --> 0:19:30.840
<v Speaker 1>eat called kashi.

0:19:30.920 --> 0:19:33.480
<v Speaker 2>But I remember Cashi made me so ill. You would

0:19:33.480 --> 0:19:37.760
<v Speaker 2>eat Cashi. I love that cereal. So Calshi is similar

0:19:37.760 --> 0:19:39.960
<v Speaker 2>to poll Market in that people can make bets on

0:19:40.000 --> 0:19:43.080
<v Speaker 2>everything from you know, sports, to elections to the weather.

0:19:43.920 --> 0:19:47.879
<v Speaker 2>But unlike poly Market, which was crypto based, Cawshi is

0:19:47.920 --> 0:19:50.760
<v Speaker 2>based in the US dollar and received approval from the

0:19:50.800 --> 0:19:55.480
<v Speaker 2>CFTC the Commodity's Futures Trading Commission in twenty twenty. Poly

0:19:55.640 --> 0:19:58.840
<v Speaker 2>Market received the approval in September twenty twenty five, but

0:19:59.040 --> 0:20:01.560
<v Speaker 2>only after being fine I had one point four million

0:20:01.640 --> 0:20:04.200
<v Speaker 2>dollars for operating in unregistered markets.

0:20:04.520 --> 0:20:11.000
<v Speaker 1>You sounded like doctor Eva in Austin powers four million dollars. Interesting.

0:20:11.080 --> 0:20:13.800
<v Speaker 1>So cow She recently caught my eye because they announced

0:20:13.800 --> 0:20:16.600
<v Speaker 1>a partnership with CNN. That's right where Cina is basically

0:20:16.640 --> 0:20:20.600
<v Speaker 1>gonna broadcast caw she live predictions on things which are

0:20:20.640 --> 0:20:24.600
<v Speaker 1>going to happen, which some people within CNN were pretty

0:20:24.880 --> 0:20:28.720
<v Speaker 1>upset about, because you know, the idea of of of

0:20:28.840 --> 0:20:31.720
<v Speaker 1>journalists becoming sort of jockey and like, you know, odd

0:20:31.760 --> 0:20:32.760
<v Speaker 1>to make Betty.

0:20:32.560 --> 0:20:35.520
<v Speaker 2>What is that called insider trading that potentially called.

0:20:35.960 --> 0:20:37.320
<v Speaker 1>It sounds like it could be. I want to know

0:20:37.400 --> 0:20:39.640
<v Speaker 1>more about this female founder who is she? What's her name?

0:20:39.960 --> 0:20:42.520
<v Speaker 2>Her name is Luana Lopez Lara and her co founder

0:20:42.560 --> 0:20:47.240
<v Speaker 2>is named Tarik Manser. She's trying nine and Luana's backstory

0:20:47.400 --> 0:20:49.840
<v Speaker 2>is like something out of a Russian spy novel. She

0:20:50.000 --> 0:20:54.320
<v Speaker 2>was trained as a professional ballerina in Brazil extreme discipline,

0:20:54.440 --> 0:20:58.040
<v Speaker 2>and even turned pro in Austria for nine months, but

0:20:58.080 --> 0:20:59.400
<v Speaker 2>then she was like, I'm out of here. I don't

0:20:59.400 --> 0:21:01.199
<v Speaker 2>want to be here anymore, and went to study computer

0:21:01.240 --> 0:21:05.120
<v Speaker 2>science at MIT, and that's where she met Tark Wow.

0:21:05.480 --> 0:21:07.840
<v Speaker 1>And they founded this company, Kalshi together.

0:21:08.000 --> 0:21:11.000
<v Speaker 2>They did I like this from a piece that I

0:21:11.040 --> 0:21:13.040
<v Speaker 2>read about it that he basically noticed that she was

0:21:13.080 --> 0:21:15.480
<v Speaker 2>sitting up front in class and was like, that's the

0:21:15.480 --> 0:21:18.240
<v Speaker 2>girl who's going to be a billionaire. Yeah, exactly. But

0:21:18.280 --> 0:21:21.879
<v Speaker 2>according to their website, both Luana and Taric worked at

0:21:21.880 --> 0:21:25.560
<v Speaker 2>financial institutions like Goldman Sachs and observed that many financial

0:21:25.560 --> 0:21:28.920
<v Speaker 2>decisions were driven by predictions about future events. And then

0:21:28.960 --> 0:21:31.960
<v Speaker 2>they thought it was odd that there wasn't a straightforward

0:21:31.960 --> 0:21:35.600
<v Speaker 2>way to trade directly on event outcomes, so they set

0:21:35.640 --> 0:21:39.119
<v Speaker 2>out to create a place for this type of direct exchange.

0:21:39.359 --> 0:21:42.480
<v Speaker 1>That's interesting you mentioned I think half joking that Polymarket

0:21:42.680 --> 0:21:44.679
<v Speaker 1>disgusted you. But we talked about this last week in

0:21:44.720 --> 0:21:47.240
<v Speaker 1>respect to people betting on like you know, the outcome

0:21:47.280 --> 0:21:49.800
<v Speaker 1>of Russia Ukraine battles over individual.

0:21:49.320 --> 0:21:50.720
<v Speaker 2>Towns and Zelensky sue.

0:21:51.000 --> 0:21:53.680
<v Speaker 1>But I said to you then, which I will repeat now, like, yes,

0:21:53.720 --> 0:21:55.719
<v Speaker 1>that is in a very poor taste. But to what

0:21:55.760 --> 0:21:59.080
<v Speaker 1>you just told me, it democratizes the types of bets

0:21:59.119 --> 0:22:03.159
<v Speaker 1>that government and banks in a sense already make and

0:22:03.240 --> 0:22:05.160
<v Speaker 1>just makes them very visible in consumer facing.

0:22:05.320 --> 0:22:07.000
<v Speaker 2>That's right. There is a little bit of a like

0:22:07.320 --> 0:22:10.600
<v Speaker 2>let's take on the man energy to this whole thing.

0:22:10.840 --> 0:22:14.040
<v Speaker 2>I just think the story is really interesting because when

0:22:14.040 --> 0:22:15.679
<v Speaker 2>you think of tech billionaire, what do you think, like,

0:22:15.680 --> 0:22:20.080
<v Speaker 2>what's the model? Right? Man and sometimes boy for me, yeah,

0:22:20.119 --> 0:22:22.560
<v Speaker 2>but you don't think of woman or girl, not to

0:22:22.560 --> 0:22:25.120
<v Speaker 2>be so binary. But no, I think I agree with you,

0:22:25.119 --> 0:22:27.119
<v Speaker 2>you know, And so I think this idea of like

0:22:27.280 --> 0:22:30.720
<v Speaker 2>socialized bedding on the basis of like maybe what a

0:22:30.760 --> 0:22:33.679
<v Speaker 2>government is going to do, even though it's still mostly

0:22:33.720 --> 0:22:37.680
<v Speaker 2>sports focused, is really important for us to keep talking

0:22:37.680 --> 0:22:37.960
<v Speaker 2>about it.

0:22:38.119 --> 0:22:40.399
<v Speaker 1>And also to your point about Calshi and Polymark, I mean,

0:22:40.440 --> 0:22:43.760
<v Speaker 1>these are two of the most valuable private companies or

0:22:43.840 --> 0:22:46.560
<v Speaker 1>very extremely valuable private companies that are not AI companies.

0:22:46.560 --> 0:22:48.880
<v Speaker 1>They're both valued, I think are over at ten billion dollars. Yes,

0:22:49.160 --> 0:22:52.480
<v Speaker 1>you want to know another unicorn that's been promising around

0:22:52.600 --> 0:22:57.560
<v Speaker 1>place my subconscious. It's a company called Fruitist, who make

0:22:58.080 --> 0:22:58.720
<v Speaker 1>giant fruit.

0:22:59.320 --> 0:23:01.080
<v Speaker 2>It's so funny. There was a I don't know if

0:23:01.119 --> 0:23:03.159
<v Speaker 2>you ever saw this, but it's there's these kind of

0:23:03.240 --> 0:23:07.800
<v Speaker 2>bougie bodegas in New York City and there was a strawberry.

0:23:07.880 --> 0:23:12.200
<v Speaker 2>Oh yeah, I was astonished at the cost of this strawberry.

0:23:12.200 --> 0:23:15.480
<v Speaker 1>It was a strawberry I think nineteen dollars something like that,

0:23:15.480 --> 0:23:16.760
<v Speaker 1>single strawberries.

0:23:16.920 --> 0:23:19.119
<v Speaker 2>And what that tells me is there's a market for it.

0:23:19.160 --> 0:23:21.120
<v Speaker 2>But whatever, I'm sorry to interrupt you, Well, you want

0:23:21.160 --> 0:23:21.840
<v Speaker 2>to talk about.

0:23:21.800 --> 0:23:25.800
<v Speaker 1>Founder of Fruitists actually directly pushes back on what you've

0:23:25.840 --> 0:23:27.520
<v Speaker 1>just said and said what I'm doing has nothing to

0:23:27.600 --> 0:23:30.399
<v Speaker 1>do with champagne strawberries. But let me read you the

0:23:30.440 --> 0:23:34.240
<v Speaker 1>headline from Fortune. Ray Dadio is backing a one billion

0:23:34.280 --> 0:23:37.240
<v Speaker 1>dollar blueberry unicorn that sells berries nearly the size of

0:23:37.280 --> 0:23:40.040
<v Speaker 1>golf balls. That's this huge. I want to live in.

0:23:40.480 --> 0:23:43.359
<v Speaker 2>The fact that we can report on big fruit in

0:23:43.400 --> 0:23:47.640
<v Speaker 2>the same breath as companies literally using large language models

0:23:47.640 --> 0:23:50.199
<v Speaker 2>on the basis of prisoner phone calls. Is where technology

0:23:50.240 --> 0:23:52.720
<v Speaker 2>is truly the craziest world to where we.

0:23:52.680 --> 0:23:54.240
<v Speaker 1>Have the poorest taste of anyone in the world.

0:23:54.280 --> 0:23:54.760
<v Speaker 2>Possibly.

0:23:55.080 --> 0:23:56.720
<v Speaker 1>So when I first saw this was, oh my god,

0:23:56.720 --> 0:24:01.119
<v Speaker 1>they made GM fruit wrong. These actually normal fruit, but

0:24:01.400 --> 0:24:05.000
<v Speaker 1>super optimized by data. They've bought farms around the world.

0:24:05.200 --> 0:24:12.760
<v Speaker 1>They've used AI to basically totally optimize the production, distribution, storage, etc.

0:24:13.560 --> 0:24:18.200
<v Speaker 1>Of the blueberries. Founders Steve mcgamy has said, quote they

0:24:18.240 --> 0:24:20.160
<v Speaker 1>actually pop when you bite into them.

0:24:21.240 --> 0:24:25.160
<v Speaker 2>So we have gotten to a point in our culture

0:24:25.480 --> 0:24:29.600
<v Speaker 2>where we literally can't stomach having any uncertainty around a

0:24:29.600 --> 0:24:32.720
<v Speaker 2>blueberry like we need we need to actually use data

0:24:32.960 --> 0:24:35.200
<v Speaker 2>to make sure that our blueberry is perfect exactly.

0:24:35.280 --> 0:24:38.200
<v Speaker 1>That's exactly. And it's not just blueberries. There are raspberries

0:24:38.240 --> 0:24:42.159
<v Speaker 1>and blackberries in development, and Fruits has stuck a cherry

0:24:42.160 --> 0:24:44.560
<v Speaker 1>deal in China.

0:24:44.680 --> 0:24:45.919
<v Speaker 2>I don't even know what that means.

0:24:46.119 --> 0:24:49.000
<v Speaker 1>To your point though, about consistency, that is exactly the goal.

0:24:49.520 --> 0:24:53.760
<v Speaker 1>Ceomagami refers to ending the problem of quote berry roulette,

0:24:54.119 --> 0:24:58.040
<v Speaker 1>meaning no more inconsistency in berriers. And we can laugh.

0:24:58.119 --> 0:25:00.439
<v Speaker 1>But fruit is sales have tripled in the last year,

0:25:00.520 --> 0:25:04.080
<v Speaker 1>so to passing over four hundred million dollars. The company

0:25:04.200 --> 0:25:06.919
<v Speaker 1>was considering going public, but with tarists they decided to

0:25:06.960 --> 0:25:07.399
<v Speaker 1>pause that.

0:25:07.680 --> 0:25:09.400
<v Speaker 2>Can I just ask a question, where do you buy

0:25:09.400 --> 0:25:12.919
<v Speaker 2>these fruit like everywhere like Whole Foods? But is the

0:25:12.960 --> 0:25:14.520
<v Speaker 2>brand called fruit Ist or are they.

0:25:14.400 --> 0:25:17.560
<v Speaker 1>Say fruit is but actually they it doesn't. It's not

0:25:17.720 --> 0:25:20.720
<v Speaker 1>like the nineteen dollars strawberry. It comes in regular packaging.

0:25:21.440 --> 0:25:23.479
<v Speaker 1>I see. So you can get like a pack of

0:25:23.520 --> 0:25:28.200
<v Speaker 1>like golf ball sized blueberries which is like eight dollars

0:25:28.200 --> 0:25:30.880
<v Speaker 1>for ten, let's say, which is still expensive, but it's

0:25:30.920 --> 0:25:33.679
<v Speaker 1>different from nineteen dollars for one. You know.

0:25:33.720 --> 0:25:36.000
<v Speaker 2>I think one of the interesting things about this piece

0:25:36.040 --> 0:25:38.480
<v Speaker 2>to me, and people have been writing a lot about

0:25:38.520 --> 0:25:42.680
<v Speaker 2>this visa VI restaurants and menus, is that like GLP

0:25:42.920 --> 0:25:47.880
<v Speaker 2>ones and Maha culture have really influenced what people demand

0:25:48.240 --> 0:25:50.920
<v Speaker 2>in terms of the products that they eat or buy.

0:25:50.800 --> 0:25:53.199
<v Speaker 1>One hundred percent. So and this is you know you're

0:25:53.280 --> 0:25:56.440
<v Speaker 1>seeing from Ceo mcgami's hymn book here because he said

0:25:56.480 --> 0:25:58.720
<v Speaker 1>these are not berries to go on your muffins or

0:25:58.720 --> 0:26:03.240
<v Speaker 1>your oatmeal. These are stand alone, snackable, berriessable berries. All

0:26:03.240 --> 0:26:06.159
<v Speaker 1>other snack categories are seriously down since the launch of

0:26:06.359 --> 0:26:09.480
<v Speaker 1>mpig and buried I think up so, yeah, I like

0:26:09.520 --> 0:26:11.920
<v Speaker 1>these stories that have all the different Yeah, all the

0:26:11.960 --> 0:26:14.080
<v Speaker 1>different things we talk about come together in a golf

0:26:14.160 --> 0:26:16.919
<v Speaker 1>ball size blueberry that pops when you bite into it.

0:26:27.320 --> 0:26:29.600
<v Speaker 1>So this week for chatting me, I'm bringing us a

0:26:29.640 --> 0:26:32.040
<v Speaker 1>story that I heard at a conference last week called

0:26:32.040 --> 0:26:35.760
<v Speaker 1>the Doha Forum. And yalde Hakim, who is the lead

0:26:36.119 --> 0:26:39.400
<v Speaker 1>world news presenter for Sky News in Britain, was there

0:26:39.800 --> 0:26:42.399
<v Speaker 1>and she was moderating a panel. But she opened it

0:26:42.760 --> 0:26:46.520
<v Speaker 1>talking about a very strange experience of going viral for

0:26:46.560 --> 0:26:47.520
<v Speaker 1>all the wrong reasons.

0:26:48.240 --> 0:26:51.800
<v Speaker 3>So this interview was shared over a million times. I

0:26:51.920 --> 0:26:55.680
<v Speaker 3>was seeing the interview itself just going completely viral within

0:26:55.960 --> 0:26:59.560
<v Speaker 3>twelve hours. Then my producer sent me a message saying

0:26:59.640 --> 0:27:02.040
<v Speaker 3>that this is the fake version of the interview.

0:27:02.200 --> 0:27:04.160
<v Speaker 2>What do you mean? I thought she recorded an interview.

0:27:04.680 --> 0:27:08.440
<v Speaker 1>She did, but the interview, not just the person's responses,

0:27:08.720 --> 0:27:11.320
<v Speaker 1>but her questions were both deep faked.

0:27:11.640 --> 0:27:16.040
<v Speaker 3>What terrified me is the fact that these deep fakes

0:27:16.080 --> 0:27:18.440
<v Speaker 3>have become better and smarter. For the last seven or

0:27:18.480 --> 0:27:21.000
<v Speaker 3>ten years, we've been hearing about deep fakes, and what

0:27:21.040 --> 0:27:23.600
<v Speaker 3>they could do to society and you know the impact

0:27:23.680 --> 0:27:27.440
<v Speaker 3>it's going to have. But I suddenly saw something that, frankly,

0:27:27.520 --> 0:27:29.800
<v Speaker 3>if you didn't know my voice, if you didn't know me,

0:27:30.200 --> 0:27:33.040
<v Speaker 3>and if you didn't know my mannerisms, you would think

0:27:33.280 --> 0:27:34.280
<v Speaker 3>that that clip was.

0:27:34.240 --> 0:27:36.640
<v Speaker 1>Real and it wasn't any old interview that was being

0:27:36.680 --> 0:27:40.159
<v Speaker 1>deep faked. Yalda's original conversation was with the sister of

0:27:40.240 --> 0:27:43.240
<v Speaker 1>the former Prime Minister of Pakistan, Imran Khan, and he's

0:27:43.280 --> 0:27:46.080
<v Speaker 1>been in jail since twenty twenty three on charges of

0:27:46.119 --> 0:27:49.360
<v Speaker 1>corruption that his supporters say are all politically motivated, and

0:27:49.440 --> 0:27:51.520
<v Speaker 1>the conversation was about that and how he's being treated

0:27:51.600 --> 0:27:55.320
<v Speaker 1>in jail. The way it was manipulated, however, was much

0:27:55.359 --> 0:27:58.720
<v Speaker 1>more provocative, much more potentially dangerous, and that's what went.

0:27:58.640 --> 0:28:04.480
<v Speaker 3>Viraltions that I had asked her had been completely changed, fabricated, manipulated.

0:28:05.000 --> 0:28:09.320
<v Speaker 3>The focus was aggression towards India and an attack on

0:28:09.800 --> 0:28:13.359
<v Speaker 3>the Army chief Arsimunir of Pakistan. And I think what

0:28:13.480 --> 0:28:16.200
<v Speaker 3>was terrifying is the fact that we know that India

0:28:16.200 --> 0:28:21.080
<v Speaker 3>and Pakistan went essentially to war in May. They went

0:28:21.119 --> 0:28:24.320
<v Speaker 3>head to head following a terrorist attack in Kashmir. There

0:28:24.440 --> 0:28:27.360
<v Speaker 3>was concern, you know, when two nuclear armed states are

0:28:27.520 --> 0:28:30.400
<v Speaker 3>on the brink that way, that this could escalate and explode,

0:28:30.440 --> 0:28:34.400
<v Speaker 3>not just regionally, but internationally. And this was further fueling

0:28:34.400 --> 0:28:37.879
<v Speaker 3>the flame to the point where the Defense Minister of

0:28:37.880 --> 0:28:41.760
<v Speaker 3>Pakistan responded to the interview the fake version as though

0:28:41.760 --> 0:28:45.560
<v Speaker 3>it was real, and mainstream media in India picked it

0:28:45.680 --> 0:28:47.680
<v Speaker 3>up and it made headlines across the country.

0:28:47.800 --> 0:28:50.160
<v Speaker 2>This is what experts have been warning us about for years,

0:28:50.200 --> 0:28:53.400
<v Speaker 2>that deep figs can be used to actually escalate tensions

0:28:53.440 --> 0:28:56.000
<v Speaker 2>and break down trust between people and their leader. I mean,

0:28:56.240 --> 0:28:59.760
<v Speaker 2>you think about we have a US president who reposts

0:29:00.160 --> 0:29:01.120
<v Speaker 2>deep fakes all the time.

0:29:01.160 --> 0:29:03.480
<v Speaker 1>Well, that's right, and we've become accustomed, i think, because

0:29:03.520 --> 0:29:07.400
<v Speaker 1>of our president, to viewing deep fakes as kind of

0:29:07.920 --> 0:29:12.080
<v Speaker 1>memes on steroids or comedy. Yeah, and almost a little

0:29:12.080 --> 0:29:14.440
<v Speaker 1>bit desensitized to the kind of threat that people have

0:29:14.520 --> 0:29:16.640
<v Speaker 1>been mourning of for years, that they could be used

0:29:16.680 --> 0:29:21.160
<v Speaker 1>to manipulate public opinion and cause political catastrophe. And that's

0:29:21.160 --> 0:29:22.680
<v Speaker 1>why I wanted to get Yelder on the show to

0:29:22.720 --> 0:29:26.760
<v Speaker 1>talk about this, because it seemed like this deep fake

0:29:27.160 --> 0:29:32.160
<v Speaker 1>really was taken seriously by major politicians in two countries

0:29:32.240 --> 0:29:35.040
<v Speaker 1>that are nuclear armed and have been earlier this year

0:29:35.240 --> 0:29:36.000
<v Speaker 1>on the brink of war.

0:29:36.520 --> 0:29:39.120
<v Speaker 2>So how did she actually rain in the deep fake interview?

0:29:39.320 --> 0:29:40.960
<v Speaker 1>Well, it's a bit of a to do, but she

0:29:41.080 --> 0:29:43.720
<v Speaker 1>was able to use her platform to indeed ring in.

0:29:44.200 --> 0:29:46.240
<v Speaker 3>The way that I dealt with it was first of all,

0:29:46.360 --> 0:29:48.600
<v Speaker 3>putting a post up on my social media saying that

0:29:48.640 --> 0:29:53.120
<v Speaker 3>this deep fake is fake and it's AI generated. That

0:29:53.280 --> 0:29:56.440
<v Speaker 3>also got picked up. I also did some interviews on

0:29:56.440 --> 0:30:00.520
<v Speaker 3>sky News platforms. They ran the original and the fake version,

0:30:00.800 --> 0:30:03.640
<v Speaker 3>and I talked around it and clarified. But I think

0:30:03.760 --> 0:30:07.600
<v Speaker 3>what is terrifying is the fact that this really does

0:30:08.160 --> 0:30:12.880
<v Speaker 3>test our democracy, journalism, our work, and how we're going

0:30:12.920 --> 0:30:14.280
<v Speaker 3>to have to deal with things in the future.

0:30:14.360 --> 0:30:17.800
<v Speaker 1>This is quite a dramatic story of the intersection of

0:30:18.040 --> 0:30:21.120
<v Speaker 1>humanity in AI and not something that most of us

0:30:21.240 --> 0:30:23.400
<v Speaker 1>encounter in our everyday lives. But we do want to

0:30:23.440 --> 0:30:26.760
<v Speaker 1>hear about your everyday lives and your interactions with technology.

0:30:26.760 --> 0:30:30.360
<v Speaker 1>How are you using chatbots, how you're interacting with synthetic media.

0:30:30.880 --> 0:30:33.320
<v Speaker 1>Anything you can share with us about how your life

0:30:33.720 --> 0:30:36.480
<v Speaker 1>is being changed in real time by your interaction with

0:30:36.760 --> 0:30:39.440
<v Speaker 1>new technology is what we want to feature on this show.

0:30:39.480 --> 0:30:41.720
<v Speaker 1>So Please write to us at tech Stuff podcast at

0:30:41.720 --> 0:30:42.720
<v Speaker 1>gmail dot com.

0:30:42.880 --> 0:30:45.560
<v Speaker 4>Will feature your stories and we'll send you a free

0:30:45.560 --> 0:30:53.680
<v Speaker 4>T shirt.

0:30:55.440 --> 0:30:57.000
<v Speaker 2>That's it for this week for tech Stuff.

0:30:57.040 --> 0:31:00.280
<v Speaker 1>I'm care Price and i'mos Voloshian. This episode was produced

0:31:00.280 --> 0:31:03.840
<v Speaker 1>by Eliza Dennis and Melissa Slaughter. It was executive produced

0:31:03.880 --> 0:31:06.560
<v Speaker 1>by Me, Carol Price, Julian Nutter, and Kate Osborne for

0:31:06.640 --> 0:31:11.120
<v Speaker 1>Kaleidoscope and Katria Novel for iHeart Podcasts. The engineer is

0:31:11.120 --> 0:31:14.680
<v Speaker 1>Behid Fraser and Jack Insley mixed this episode. Kyle Murdoch

0:31:14.720 --> 0:31:15.520
<v Speaker 1>wrote out theme song.

0:31:15.960 --> 0:31:18.840
<v Speaker 2>Please rate, review and reach out to us at tech

0:31:18.880 --> 0:31:21.840
<v Speaker 2>Stuff podcast at gmail dot com. We want to hear

0:31:21.880 --> 0:31:22.160
<v Speaker 2>from you.