WEBVTT - Week in Tech: AI-Induced Psychosis

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<v Speaker 1>Welcome to Tech Stuff, a production of iHeart Podcasts and Kaleidoscope.

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<v Speaker 1>I'm as Valoshian and today Karra Price and I will

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<v Speaker 1>bring you the headlines this week, including the selfies that

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<v Speaker 1>tell you how old you really are. Then, on tech Support,

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<v Speaker 1>we'll talk to New York Magazine's James D. Walsh about

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<v Speaker 1>using AI to cheat your way through college.

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<v Speaker 2>And it quickly kind of dawned on me that everyone

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<v Speaker 2>is cheating. They may not be using the word cheating,

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<v Speaker 2>but they are cheating according to their honor code.

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<v Speaker 1>All of that on the weekend Tech It's Friday, May sixteenth.

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<v Speaker 1>Hello Cara, hi ozgo next adjacent Lee, When was the

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<v Speaker 1>last time you flew into Newark Airport?

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<v Speaker 3>You know that Newark is normally my secret weapon airport,

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<v Speaker 3>but I haven't flown into Newark for quite some time.

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<v Speaker 1>Especially into nationally. Actually, it is much faster getting through

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<v Speaker 1>the customs and border patrol. It is. However, it is

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<v Speaker 1>not a good time to be flying in and out

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<v Speaker 1>of New York right now. In the last few weeks,

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<v Speaker 1>there have been three telecommunication failures at the air traffic

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<v Speaker 1>control center that oversees the airport. The first outage late

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<v Speaker 1>last month lasted over a minute.

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<v Speaker 3>Like, this is the stuff that makes me not want

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<v Speaker 3>to ever get on an airplane.

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<v Speaker 1>Yeah, I mean this, truly think about it. This is

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<v Speaker 1>when air traffic control has no contact at all with

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<v Speaker 1>the planes in the sky, like none, none, and they're

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<v Speaker 1>just hoping for that minute fingers cross they don't crash

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<v Speaker 1>into each other. And of course there are these compounding

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<v Speaker 1>delays afterwards because the poor air traffic controllers get so

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<v Speaker 1>stressed by this, they have like PTSD.

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<v Speaker 3>Yeah, I've actually heard that air traffic control is one

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<v Speaker 3>of the more stressful jobs that you can have in

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<v Speaker 3>this kind of.

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<v Speaker 1>Stry especially when the systems are going dark and you

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<v Speaker 1>have dozens of planes in midair that you can't communicate.

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<v Speaker 4>With and nobody else wants the job, so you're overworked.

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<v Speaker 1>Absolutely.

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<v Speaker 4>But why is this a tech story?

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<v Speaker 1>Well, good question. The outages are being blamed in part

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<v Speaker 1>on systems that rely on old technologies.

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<v Speaker 4>Like what are we talking about?

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<v Speaker 1>Old like floppy disc gold so my child. Yeah. Basically, well,

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<v Speaker 1>here's how a former air traffic controller described it. If

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<v Speaker 1>you look at the technology we're using, most of it

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<v Speaker 1>is from the late nineteen eighties to the nineteen nineties,

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<v Speaker 1>we still use floppy discs to update our information system.

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<v Speaker 1>We still have paper strips. I mean, this is not

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<v Speaker 1>the eighties or nineties. This is the ancient Egypt. We

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<v Speaker 1>use paper strips that we walk around the tower cab

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<v Speaker 1>with that each controller writes something on and then hand

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<v Speaker 1>it to the next controller.

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<v Speaker 3>I just I was thinking about, like if Jen Alpha

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<v Speaker 3>is like, you know what, I'm only going to hand

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<v Speaker 3>in my homework on floppy disc now, because that's what

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<v Speaker 3>we used to do when I was growing up, Like

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<v Speaker 3>you would upload your homework to floppy disc and then

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<v Speaker 3>bring it to class and print it from school.

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<v Speaker 1>Well, I heard that in Japan there's a new trend

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<v Speaker 1>of fake digital cassette player. So it looks like a

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<v Speaker 1>set player, but it's actually an MP three player. But anyway,

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<v Speaker 1>you know, I'm a big local news guy.

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<v Speaker 4>You are you are.

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<v Speaker 1>NJ dot Com reports that the technology at Newark is

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<v Speaker 1>so outdated that when parts need to be replaced, the

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<v Speaker 1>FAA has to source them from eBay.

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<v Speaker 4>You know, this is how Kim kardash she needs to

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<v Speaker 4>buy her BlackBerry.

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<v Speaker 1>She did after they have continued sub she.

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<v Speaker 3>Would go on eBay and buy like fifteen or twenty

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<v Speaker 3>of them smartly. But she's also not working for the FAA.

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<v Speaker 3>But in all seriousness, you know, in the FAA is

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<v Speaker 3>a federal agency. So what is the Trump administration doing

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<v Speaker 3>about this?

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<v Speaker 1>Well, there is a three year plan to build big,

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<v Speaker 1>beautiful new traffic control systems with high speed network connections

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<v Speaker 1>and fiber and wireless connections, you know, but the US

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<v Speaker 1>obviously has real struggles with modernizing its infrastructure. I tried

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<v Speaker 1>to find out, in preparing for this episode whether or

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<v Speaker 1>not they use floppy disks in Chinese airports. I couldn't

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<v Speaker 1>get an answer, but my guess would be no.

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<v Speaker 4>Is that because you don't know the Chinese words for floppery?

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<v Speaker 1>That's probably that? MUS see what it is. And the

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<v Speaker 1>reason I've attract to this story is because we rarely

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<v Speaker 1>think about technology in terms of like stuff from the

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<v Speaker 1>eighties that still tape together and keeping us relatively safe

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<v Speaker 1>at thirty eight thousand feet.

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<v Speaker 3>Yes, but as is evidenced by my continuous use and

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<v Speaker 3>support of Apple's wired headphones, technology does not necessarily mean

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<v Speaker 3>the future or even the present. Technology is very much

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<v Speaker 3>the past.

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<v Speaker 1>The other thing that attracted me to this story was

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<v Speaker 1>that I got to experience some rare British pride for

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<v Speaker 1>the first time since the Spice Girls. I feel like

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<v Speaker 1>that's not true. So The Financial Times reported this week

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<v Speaker 1>that the British Airways CEO has hailed the quote game

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<v Speaker 1>changing effects of AI for cutting delays at the airline.

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<v Speaker 1>They've invested one hundred million pounds in quote operational resilience,

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<v Speaker 1>which includes using AI to suggest how to minimize passenger

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<v Speaker 1>disruptions like when to delay flights, whent to cancel them,

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<v Speaker 1>when to preemptively rebooked passengers, and even which gates aircraft

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<v Speaker 1>should land at to help passengers make tight connections. In

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<v Speaker 1>the process, the National Flag Carrier has gone from one

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<v Speaker 1>of the most delayed airlines in the world it's one

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<v Speaker 1>of the least.

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<v Speaker 3>Oh good for them, actually, I'd love to see some

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<v Speaker 3>national pride for you, because I also love to see

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<v Speaker 3>some support for those poor, poor schmucks at the back

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<v Speaker 3>of the airplane who are like I have a connection

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<v Speaker 3>in seven seconds an ethrow.

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<v Speaker 1>But there is something quite sort of reassuring about human

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<v Speaker 1>nature that most people do feel some of enough empathy

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<v Speaker 1>for their true people do come together.

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<v Speaker 4>People go go right ahead, go right ahead, unless you're pregnant,

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<v Speaker 4>which case, we're gonna black you.

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<v Speaker 1>So to change landing gears slightly. Tech is obviously a

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<v Speaker 1>system that can govern outcomes of tens of thousands of people,

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<v Speaker 1>and that's where you see it showing up, for example,

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<v Speaker 1>in air traffic control or airline management. But the other

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<v Speaker 1>kind of side of tech that I find particularly fascinating

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<v Speaker 1>is how it's becoming a way to make us legible,

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<v Speaker 1>Like our tech is making us readable to others, which

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<v Speaker 1>is kind of fascinating and creepy. Scientists at mass General

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<v Speaker 1>Brigham in Boston have developed a new AI prediction tool

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<v Speaker 1>that can identify a person's biological age just by analyzing

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<v Speaker 1>a picture of their face to.

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<v Speaker 3>Be clear biological age and real age, like I'm thirty five,

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<v Speaker 3>but I might have a different biological age.

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<v Speaker 1>It's basically how old you are at a cellular level,

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<v Speaker 1>based on the condition of your DNA, and it's different

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<v Speaker 1>from yet what scientists called chronological age.

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<v Speaker 3>So someone could be forty years old that's their chronological age,

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<v Speaker 3>and have a biological age of thirty five, which I'm

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<v Speaker 3>assuming is you know, a sign of good health.

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<v Speaker 4>Yeah, exactly, to have a lower biological age.

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<v Speaker 1>That's right. And so there's an app for this. Guess

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<v Speaker 1>what it's called dead or not hot or not No,

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<v Speaker 1>it's called it's called face age augh. And what's kind

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<v Speaker 1>of interesting is the way they trained it. So researchers

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<v Speaker 1>gave face Age thousands of publicly available pictures of people

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<v Speaker 1>over the age of sixty who presume to be healthy.

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<v Speaker 1>Then they gave it pictures of cancer patients who are

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<v Speaker 1>beginning radiotherapy treatment. On average, they found that someone going

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<v Speaker 1>through these treatments has a biological age that's five years

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<v Speaker 1>older than their chronological age, and the older the biological

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<v Speaker 1>age is, according to face Age, the worst of survival outlook.

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<v Speaker 1>This is according to an article in the Washington Post.

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<v Speaker 4>And why would anyone want to know this?

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<v Speaker 1>Well, good question. It is not just curiosity. The Post

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<v Speaker 1>explained how the tech could actually be a life saving

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<v Speaker 1>tool because it can be useful in predicting tolerance for

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<v Speaker 1>cancer treatments. This is something doctors are obviously constantly grappling with.

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<v Speaker 1>In one case in the article, a doctor had a

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<v Speaker 1>patient who was eighty six years old who'd received a

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<v Speaker 1>terminal lung cancer diagnosis, and the doctor was hesitating at

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<v Speaker 1>whether or not to recommend treatment because of the patient's

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<v Speaker 1>advanced age, but according to the doctor quote, he looked

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<v Speaker 1>younger than eighty six to me, and based on the

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<v Speaker 1>eyeball test and a host of other factors, I decided

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<v Speaker 1>to treat him with aggressive radiation therapy. The patient survived

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<v Speaker 1>and is now ninety years old.

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<v Speaker 4>So just humor me here, what does this have to

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<v Speaker 4>do with face age?

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<v Speaker 1>Well, it's kind of like the eyeball test in the

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<v Speaker 1>digital world world right, And the doctor actually went back

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<v Speaker 1>and scanned an old photo of his patient using face

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<v Speaker 1>age and discovered that the app basically posts fact endorsed

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<v Speaker 1>the assessment. The patient's biological age was ten years younger

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<v Speaker 1>than his chronological age. I he was biologically seventy six

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<v Speaker 1>when he started treatment, and therefore was a good candidate. Obviously,

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<v Speaker 1>a person's face isn't the only indicator of their health,

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<v Speaker 1>and the tool is used alongside other clinical information, but

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<v Speaker 1>per the post, it does do a better job of

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<v Speaker 1>predicting someone's chronological age than a doctor just using their

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<v Speaker 1>eyes alone, just the eyeball test.

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<v Speaker 3>You know, it makes me think about the old adage

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<v Speaker 3>that I like to use as it pertains to women

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<v Speaker 3>and men, which is that you can't judge a book

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<v Speaker 3>by its cover, and you have to wonder if plastic

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<v Speaker 3>surgery in botox is as effective at tricking the AI

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<v Speaker 3>as it is to the human eye.

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<v Speaker 1>Funny you mentioned, you know, scientists are actually still studying

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<v Speaker 1>if light, surgery, makeup, or other factors can affect the

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<v Speaker 1>accuracy of the face age reading. Although interestingly, and this

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<v Speaker 1>is something that I find very encouraged as a man

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<v Speaker 1>experiencing the beginning of baldness, or perhaps the mid stage

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<v Speaker 1>of baldness, face age does not overreact to the visual

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<v Speaker 1>cues of aging, like being baled or having gray hair

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<v Speaker 1>in the way that humans do. But just taking a

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<v Speaker 1>step back, I think the implications of this story are

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<v Speaker 1>actually really really big because in the old days, it

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<v Speaker 1>would have taken a doctor decades of clinical experience to

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<v Speaker 1>develop their own sense of intuition about somebody's biological age

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<v Speaker 1>versus their chronological age. You know, they would have developed

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<v Speaker 1>the clinical experience and then used it to make a

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<v Speaker 1>to make a judgment that they probably couldn't have explained

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<v Speaker 1>to you themselves how they got to. But that knowledge

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<v Speaker 1>was captured within a community of people who were trained

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<v Speaker 1>and trusted to use that information for good according to

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<v Speaker 1>the Hippocratic Oath, this app points in the direction of

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<v Speaker 1>a future where anybody will be able to essentially tap

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<v Speaker 1>into intuition and take a photo of your face and

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<v Speaker 1>know your biological age and know you know how much

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<v Speaker 1>longer you may have to live with some degree of accuracy.

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<v Speaker 1>This isn't happening today, but it could happen soon. That can,

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<v Speaker 1>of course be empowering if you want to take a

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<v Speaker 1>selfie and know what's going on and maybe make some

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<v Speaker 1>changes to your lifestyle perbs. But on the other hand,

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<v Speaker 1>having bad actors or actors who don't have your best

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<v Speaker 1>interests at heart. Other people, colleagues, bosses, health insurance companies

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<v Speaker 1>should make us all I think, deeply concerned.

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<v Speaker 3>Yeah, I mean, especially with insurance companies. It creates a

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<v Speaker 3>huge moral problem.

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<v Speaker 1>Absolutely.

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<v Speaker 3>So I want to tell you about a headline this

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<v Speaker 3>week that frightened me more than the realization of how

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<v Speaker 3>old I am.

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<v Speaker 4>When I attended the Webbies.

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<v Speaker 1>Okay, what you're doing at the Webbies.

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<v Speaker 4>I was invited, I was invited.

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<v Speaker 1>Goes somewhere.

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<v Speaker 4>Yeah, let me tell you something.

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<v Speaker 3>You know how often well you might think differently, I

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<v Speaker 3>don't say no as much as I used to at

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<v Speaker 3>my chronological age, I say no less.

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<v Speaker 1>Yeah, yeah, well you've got to make the most, make the.

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<v Speaker 3>Best of it, exactly. But I read a story this week.

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<v Speaker 3>Have you heard of chat GPT induced psychosis?

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<v Speaker 1>I have to confess I have not, so it is.

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<v Speaker 3>Kind of vague, but I got it from a Rolling

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<v Speaker 3>Stone headline that read people are losing loved ones to

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<v Speaker 3>AI fueled spiritual fantasies.

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<v Speaker 1>So this is like AI kind of becoming a digital

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<v Speaker 1>cult leader or something like that.

0:11:26.400 --> 0:11:27.000
<v Speaker 4>Pretty much.

0:11:27.080 --> 0:11:31.079
<v Speaker 3>And it's putting stress on the relationships of the people

0:11:31.520 --> 0:11:34.160
<v Speaker 3>who have to deal with people who think they're accessing

0:11:34.600 --> 0:11:37.000
<v Speaker 3>this sort of rules to the universe.

0:11:36.640 --> 0:11:37.439
<v Speaker 4>Through chat GPT.

0:11:37.840 --> 0:11:38.120
<v Speaker 1>Wow.

0:11:38.280 --> 0:11:39.439
<v Speaker 4>You know, several people.

0:11:39.160 --> 0:11:41.640
<v Speaker 3>Reached out to Rolling Stone about how chatbot use is

0:11:41.679 --> 0:11:44.160
<v Speaker 3>getting in the way of their relationships. People even said

0:11:44.160 --> 0:11:47.600
<v Speaker 3>that their partners were communicating with chat gpt as if

0:11:47.600 --> 0:11:50.880
<v Speaker 3>it were a savior figure, and in some cases the

0:11:51.000 --> 0:11:53.800
<v Speaker 3>chatbot would say it was God, wow, or tell the

0:11:53.920 --> 0:11:55.200
<v Speaker 3>user they were God.

0:11:55.320 --> 0:11:57.320
<v Speaker 1>That's worse, is much worse.

0:11:57.600 --> 0:12:00.520
<v Speaker 4>So here's the opening story of the article in Role Stone.

0:12:01.080 --> 0:12:04.360
<v Speaker 3>A couple's marriage is falling apart because a woman's husband

0:12:04.600 --> 0:12:08.080
<v Speaker 3>started to use chat GPT obsessively, and it's not the

0:12:08.080 --> 0:12:12.720
<v Speaker 3>way you or I use CHATGPT. This is like someone

0:12:12.760 --> 0:12:16.040
<v Speaker 3>who's being radicalized on YouTube, except YouTube is talking back

0:12:16.080 --> 0:12:19.760
<v Speaker 3>to it. The husband was using it as a spiritual guide.

0:12:20.040 --> 0:12:24.199
<v Speaker 3>He was asking chat GPT philosophical questions and getting increasingly

0:12:24.240 --> 0:12:27.640
<v Speaker 3>personal in his responses, revealing more and more of himself

0:12:27.679 --> 0:12:32.040
<v Speaker 3>along the way. And then this same person starts to

0:12:32.040 --> 0:12:35.160
<v Speaker 3>get paranoid about the government surveilling him, and he says

0:12:35.200 --> 0:12:38.960
<v Speaker 3>that AI helped him regain a repressed childhood memory of

0:12:39.000 --> 0:12:41.600
<v Speaker 3>a babysitter trying to drown him.

0:12:41.679 --> 0:12:43.439
<v Speaker 1>I mean, this is making my mind go in all

0:12:43.480 --> 0:12:45.520
<v Speaker 1>sorts of different ways. I mean, you know, you can

0:12:45.559 --> 0:12:47.800
<v Speaker 1>imagine if you're spending all of your time talking to

0:12:47.880 --> 0:12:51.040
<v Speaker 1>chat GPT and feeling so well understood that it kind

0:12:51.080 --> 0:12:53.720
<v Speaker 1>of could exacerbate the feelings. Well, if chat GPT can

0:12:53.760 --> 0:12:56.240
<v Speaker 1>understand me, why can't my husband or my wife. But

0:12:56.320 --> 0:12:59.079
<v Speaker 1>what you mentioned about the repressed childhood memory is also

0:12:59.160 --> 0:13:02.960
<v Speaker 1>very interesting to me because I find that quite disturbing. Obviously,

0:13:03.120 --> 0:13:06.160
<v Speaker 1>we've talked a lot about AI assisted therapy bots and

0:13:06.240 --> 0:13:09.400
<v Speaker 1>the promise of them, but at the point where chat

0:13:09.480 --> 0:13:14.360
<v Speaker 1>GPT is, you know, helping people or convincing people that

0:13:14.400 --> 0:13:18.840
<v Speaker 1>they're recovering childhood memories without any training or without any guardrails.

0:13:19.280 --> 0:13:21.920
<v Speaker 1>I mean, that gets quite dystopian and concerning. To me.

0:13:22.160 --> 0:13:27.079
<v Speaker 3>It takes quite a leap to believe that a chat

0:13:27.120 --> 0:13:31.040
<v Speaker 3>bot or a search a very sort of high falutant

0:13:31.080 --> 0:13:35.040
<v Speaker 3>search tool, is something that is capable of allowing you

0:13:35.160 --> 0:13:38.920
<v Speaker 3>to recover repressed memory. It's one thing, I mean, repressed memory.

0:13:39.080 --> 0:13:42.439
<v Speaker 1>Hold on, but what about journaling? True, this is two

0:13:42.480 --> 0:13:43.120
<v Speaker 1>way journaling.

0:13:43.559 --> 0:13:46.319
<v Speaker 4>It's two way journaling, but the other side.

0:13:46.240 --> 0:13:48.640
<v Speaker 1>You're on another side who is predisposed to encourage you

0:13:48.679 --> 0:13:50.640
<v Speaker 1>in whatever direction you're going. I think that's what's concerning

0:13:50.679 --> 0:13:51.080
<v Speaker 1>about it.

0:13:51.280 --> 0:13:55.640
<v Speaker 3>I also think it says more about where very seemingly

0:13:55.679 --> 0:14:00.560
<v Speaker 3>personalized technology fits into an increasingly godless world, which is

0:14:00.600 --> 0:14:05.320
<v Speaker 3>replacing religion with generative AI that seems friendly, more readily

0:14:05.400 --> 0:14:09.680
<v Speaker 3>available than your average guru therapist, and probably less judgmental

0:14:09.920 --> 0:14:10.640
<v Speaker 3>than your wife or.

0:14:10.679 --> 0:14:12.720
<v Speaker 1>Husband, certainly more prone to tell you what you want.

0:14:12.559 --> 0:14:15.920
<v Speaker 3>To hear, definitely, and also just answering you whenever you want.

0:14:16.000 --> 0:14:18.000
<v Speaker 3>I mean, I think that's something for free.

0:14:18.679 --> 0:14:21.400
<v Speaker 1>We know that chatbots tend to serve users things that

0:14:21.520 --> 0:14:24.600
<v Speaker 1>it knows they'll like. And last month there's a story

0:14:24.640 --> 0:14:27.680
<v Speaker 1>about how open Ai actually rolled back an update to

0:14:27.800 --> 0:14:31.440
<v Speaker 1>chat GPT's for o model because it was acting Tuesday

0:14:31.520 --> 0:14:34.880
<v Speaker 1>authentic towards users, like constantly telling them they were geniuses

0:14:35.000 --> 0:14:38.080
<v Speaker 1>or had amazing ideas, laying it on perhaps a bit

0:14:38.120 --> 0:14:39.920
<v Speaker 1>too thick, as my grandmother would have said.

0:14:40.880 --> 0:14:42.640
<v Speaker 3>You know, it's sort of like when I'm with my

0:14:42.720 --> 0:14:44.880
<v Speaker 3>mom on Mother's Day and she asked me to get

0:14:44.880 --> 0:14:46.760
<v Speaker 3>off my phone, and I'm like, will be as interesting

0:14:46.800 --> 0:14:48.880
<v Speaker 3>as my phone, and I'll start paying attention to you

0:14:48.960 --> 0:14:49.480
<v Speaker 3>on Mother's Day.

0:14:49.640 --> 0:14:52.560
<v Speaker 1>I give her Mother's da exception, except well, I.

0:14:52.520 --> 0:14:56.440
<v Speaker 3>Mean, look, the phone is a very seductive tool. Yeah,

0:14:56.440 --> 0:14:59.200
<v Speaker 3>and it's an always on supercomputer that gives you, and

0:14:59.280 --> 0:15:02.680
<v Speaker 3>I quote from the the article the answers to the universe.

0:15:02.480 --> 0:15:04.840
<v Speaker 1>And that of course, that kind of black box nature

0:15:05.360 --> 0:15:09.120
<v Speaker 1>obviously adds to the feeling of mystic or spirituality. I mean,

0:15:09.160 --> 0:15:12.320
<v Speaker 1>I think you look back to Victorian times and mesmerism

0:15:12.480 --> 0:15:15.840
<v Speaker 1>and you know, various quackery and stuff. The thing that

0:15:15.880 --> 0:15:18.520
<v Speaker 1>made people believe was not understanding how it worked. It

0:15:18.600 --> 0:15:20.840
<v Speaker 1>had to do with playing on that sense of the

0:15:20.920 --> 0:15:24.240
<v Speaker 1>unknown and filling it with meaning that was maybe non

0:15:24.240 --> 0:15:27.680
<v Speaker 1>appropriate meaning, and it feels like that's now happening on

0:15:27.760 --> 0:15:32.920
<v Speaker 1>a kind of cross societal and extremely technologically boosted scale.

0:15:33.120 --> 0:15:33.480
<v Speaker 4>Yeah.

0:15:33.520 --> 0:15:37.560
<v Speaker 3>And I think conversely, it's why people shouldn't read too

0:15:37.600 --> 0:15:40.040
<v Speaker 3>much into the advice that chat GBT gives them.

0:15:40.680 --> 0:15:42.400
<v Speaker 1>Yeah. I mean, I think that's something we all have

0:15:42.440 --> 0:15:45.880
<v Speaker 1>to remind ourselves of continually, because it's so tempting and

0:15:45.920 --> 0:15:53.720
<v Speaker 1>often it is so useful. We've got a couple more

0:15:53.720 --> 0:15:56.960
<v Speaker 1>headlines for you this week. Newly elected Pope Leo the

0:15:57.000 --> 0:16:01.200
<v Speaker 1>fourteenth says that he takes a similar position artificial intelligence

0:16:01.280 --> 0:16:05.440
<v Speaker 1>as his predecessor put Francis. According to CNN, the new

0:16:05.520 --> 0:16:07.960
<v Speaker 1>Pope laid out the vision for his papacy and he

0:16:08.040 --> 0:16:11.840
<v Speaker 1>identified AI as one of the most critical matters facing humanity.

0:16:12.280 --> 0:16:14.920
<v Speaker 1>He says that the development of AI, like the original

0:16:14.920 --> 0:16:19.320
<v Speaker 1>Industrial Revolution, would quote pose new challenges for the defense

0:16:19.480 --> 0:16:22.120
<v Speaker 1>of human dignity, justice, and labor.

0:16:22.880 --> 0:16:25.640
<v Speaker 3>So one drop, which is my chosen rap name for

0:16:25.720 --> 0:16:30.360
<v Speaker 3>Elizabeth Holmes, the infamous founder of fraudulent blood testing company Thearranos,

0:16:30.720 --> 0:16:34.040
<v Speaker 3>is in prison yep, but her partner is working on

0:16:34.080 --> 0:16:37.680
<v Speaker 3>a new venture that sounds a little bit familiar. The

0:16:37.680 --> 0:16:40.560
<v Speaker 3>New York Times reports that Holmes's partner, Billy Evans, is

0:16:40.640 --> 0:16:44.520
<v Speaker 3>raising money for Hymanthus, a blood testing startup that describes

0:16:44.560 --> 0:16:49.200
<v Speaker 3>itself as quote the future of diagnostics. And here's the kicker.

0:16:49.960 --> 0:16:53.840
<v Speaker 3>The device Billy Evans is showing two investors looks eerily

0:16:53.920 --> 0:16:59.920
<v Speaker 3>similar to the one hawked by Theranos. One woman's trash

0:17:00.200 --> 0:17:01.240
<v Speaker 3>is another man's treasure.

0:17:01.680 --> 0:17:03.320
<v Speaker 1>Yeah, I mean, I think you might need a blood

0:17:03.320 --> 0:17:05.639
<v Speaker 1>test yourself if you were, if you're queuing out to

0:17:05.640 --> 0:17:07.919
<v Speaker 1>invest in that one. Our friends at four or four

0:17:08.000 --> 0:17:10.920
<v Speaker 1>Media wrote about an ad for Coca Cola that used

0:17:10.920 --> 0:17:14.479
<v Speaker 1>AI to scan books and surprise, surprise, got some basic

0:17:14.520 --> 0:17:17.840
<v Speaker 1>facts wrong. Last month, the company released an ad campaign

0:17:17.840 --> 0:17:21.440
<v Speaker 1>which featured passages from classic literature that mentioned Coca Cola

0:17:21.480 --> 0:17:24.879
<v Speaker 1>by name. The problem is AI came up with some

0:17:24.920 --> 0:17:28.840
<v Speaker 1>examples that simply don't exist, including a sentence from a

0:17:28.840 --> 0:17:31.879
<v Speaker 1>book by British author J. G. Ballard featuring Coca Cola

0:17:32.320 --> 0:17:33.680
<v Speaker 1>that he never wrote.

0:17:34.040 --> 0:17:37.280
<v Speaker 3>Staying on the topic of AI, AD's beloved actress Jamie

0:17:37.359 --> 0:17:41.199
<v Speaker 3>Lee Curtis asked Meta CEO Mark Zuckerberg to remove an

0:17:41.320 --> 0:17:45.240
<v Speaker 3>AI generated commercial on Instagram that she claimed stole her

0:17:45.400 --> 0:17:49.000
<v Speaker 3>likeness and it worked. According to the San Francisco Chronicle,

0:17:49.080 --> 0:17:52.240
<v Speaker 3>Curtis posted on Instagram saying, quote, it's come to this

0:17:52.480 --> 0:17:56.439
<v Speaker 3>at Zach and then implored him to remove this quote

0:17:56.680 --> 0:17:59.200
<v Speaker 3>totally fake commercial from the internet. I can hear her

0:17:59.200 --> 0:18:02.639
<v Speaker 3>saying that. Curtis said she went through every proper channel

0:18:02.680 --> 0:18:04.480
<v Speaker 3>and even tried to DM Zuckerberg.

0:18:04.600 --> 0:18:06.240
<v Speaker 1>Is that one of the proper channels that is?

0:18:06.680 --> 0:18:10.120
<v Speaker 3>I mean, if you're verified, he's verified, We're verified. Let's

0:18:10.160 --> 0:18:13.679
<v Speaker 3>get together, but was unable to reach him since he

0:18:13.720 --> 0:18:16.760
<v Speaker 3>does not follow her on Instagram, so the post was

0:18:16.800 --> 0:18:19.800
<v Speaker 3>removed within two hours of Curtis's post, which, by the way,

0:18:20.040 --> 0:18:23.920
<v Speaker 3>was set to a wreath of Franklin's song Integrity. Now,

0:18:24.160 --> 0:18:26.840
<v Speaker 3>can Jamie Lee Curtis get Zuckerberg to take down all

0:18:26.880 --> 0:18:29.080
<v Speaker 3>the photos of himself wearing a gold chain?

0:18:30.560 --> 0:18:33.480
<v Speaker 1>Methinks not. And we're going to take a quick break now,

0:18:33.520 --> 0:18:36.879
<v Speaker 1>but stick around because cheating is on the rise, and

0:18:37.000 --> 0:18:49.399
<v Speaker 1>college is getting a whole lot easier to stay with us.

0:18:50.920 --> 0:18:53.360
<v Speaker 1>Welcome back to tech Stuff. This week on Tech Support,

0:18:53.400 --> 0:18:55.399
<v Speaker 1>we want to dive deeper on a headline that we

0:18:55.520 --> 0:18:58.879
<v Speaker 1>touched on last week in New York Magazine. Everyone is

0:18:58.960 --> 0:19:01.919
<v Speaker 1>cheating their way through college. The story start with me

0:19:02.080 --> 0:19:04.440
<v Speaker 1>because it's one of those examples of a story which

0:19:04.480 --> 0:19:07.440
<v Speaker 1>isn't just about a new technology changing the way we

0:19:07.560 --> 0:19:11.320
<v Speaker 1>do old things, in this case college assignments or cheating

0:19:11.400 --> 0:19:14.399
<v Speaker 1>on college assignments. It's about tech posing a challenge to

0:19:14.480 --> 0:19:18.320
<v Speaker 1>our entire system of learning in fascinating ways, and with

0:19:18.400 --> 0:19:20.640
<v Speaker 1>consequences we can't begin to fathom.

0:19:21.000 --> 0:19:23.600
<v Speaker 4>I actually think we can fathom the consequences of this.

0:19:23.680 --> 0:19:26.560
<v Speaker 3>I think as we step into a future of entirely

0:19:26.640 --> 0:19:30.760
<v Speaker 3>friction free existence, it's really interesting to see the ways people,

0:19:30.880 --> 0:19:35.200
<v Speaker 3>especially younger, more digitally native generations, skirt around the hard

0:19:35.240 --> 0:19:37.800
<v Speaker 3>parts of being a person. I read this article and

0:19:37.960 --> 0:19:41.320
<v Speaker 3>was consistently asking myself the question, if given the opportunity

0:19:41.359 --> 0:19:44.359
<v Speaker 3>to use something that made homework way easier, wouldn't I

0:19:44.480 --> 0:19:44.840
<v Speaker 3>use it?

0:19:45.240 --> 0:19:45.439
<v Speaker 1>You know?

0:19:45.520 --> 0:19:49.320
<v Speaker 3>I literally this morning tried to get chat GBT to

0:19:49.359 --> 0:19:52.600
<v Speaker 3>summarize an article for me. It was the best of times,

0:19:52.840 --> 0:19:54.320
<v Speaker 3>it was the worst of times.

0:19:54.480 --> 0:19:56.560
<v Speaker 1>Well, at least you've read your Tailor of Two Cities

0:19:56.600 --> 0:20:01.159
<v Speaker 1>by Charles Dickens. I'n Sparkner without other ado join us

0:20:01.280 --> 0:20:06.080
<v Speaker 1>discuss how AI is roiling education is James Walsh, a

0:20:06.119 --> 0:20:10.159
<v Speaker 1>features writer, at New York Magazine's Intelligencer, James, Welcome to

0:20:10.160 --> 0:20:10.679
<v Speaker 1>Tech Stuff.

0:20:11.119 --> 0:20:12.359
<v Speaker 2>Thanks so much for having me.

0:20:12.800 --> 0:20:15.320
<v Speaker 1>When did you first start to get interested in how

0:20:15.520 --> 0:20:17.600
<v Speaker 1>AI is changing college education?

0:20:18.160 --> 0:20:22.280
<v Speaker 2>Well, it actually started a few months ago, and I

0:20:22.960 --> 0:20:26.360
<v Speaker 2>just started calling college students, talking to college students, and

0:20:26.400 --> 0:20:30.520
<v Speaker 2>it quickly kind of dawned on me that everyone is cheating. Right.

0:20:30.680 --> 0:20:33.200
<v Speaker 2>They may not be using the word cheating, but they

0:20:33.240 --> 0:20:35.720
<v Speaker 2>are cheating according to their honor code.

0:20:36.040 --> 0:20:38.399
<v Speaker 3>And you open the piece with the story of the

0:20:38.400 --> 0:20:42.800
<v Speaker 3>Columbia student Roy Lee. He gained notoriety for hacking coding

0:20:42.880 --> 0:20:47.200
<v Speaker 3>tests big tech uses to assess internship applications. Why did

0:20:47.240 --> 0:20:49.040
<v Speaker 3>you want to tell his story and what is the

0:20:49.080 --> 0:20:50.960
<v Speaker 3>bigger takeaway from his story?

0:20:51.160 --> 0:20:51.440
<v Speaker 1>Sure?

0:20:51.480 --> 0:20:54.960
<v Speaker 2>I think Roy was fascinating to me because a number

0:20:55.000 --> 0:20:59.439
<v Speaker 2>of things. First, in order to prepare for interviews with

0:20:59.640 --> 0:21:04.040
<v Speaker 2>big tech companies like Google or any really big tech company,

0:21:04.080 --> 0:21:07.879
<v Speaker 2>he would work on leak Code. It's it's this site

0:21:07.960 --> 0:21:12.480
<v Speaker 2>that trains developers how to do these kind of puzzles

0:21:12.920 --> 0:21:16.199
<v Speaker 2>or riddles that he doesn't really think are applicable to

0:21:16.280 --> 0:21:19.000
<v Speaker 2>any kind of real world work. So he figured that

0:21:19.119 --> 0:21:22.399
<v Speaker 2>if he could develop something that would hide AI on

0:21:22.480 --> 0:21:27.280
<v Speaker 2>his browser, during a remote job interview, he could hack

0:21:27.400 --> 0:21:30.320
<v Speaker 2>these interviews and that it's not really cheating to him.

0:21:30.400 --> 0:21:32.960
<v Speaker 2>If it's hackable and there's a tool that can be

0:21:33.080 --> 0:21:36.200
<v Speaker 2>used to hack an assignment. He was thinking that if

0:21:36.240 --> 0:21:38.199
<v Speaker 2>not now, then in the near future it won't be

0:21:38.240 --> 0:21:41.919
<v Speaker 2>considered cheating. And it's very much the same way he

0:21:42.000 --> 0:21:45.639
<v Speaker 2>approaches studies. It's transactional to him. He had no interest

0:21:45.720 --> 0:21:49.560
<v Speaker 2>in kind of furthering himself for learning new things about

0:21:49.640 --> 0:21:54.360
<v Speaker 2>himself or about the world. He's there as a networking opportunity,

0:21:54.359 --> 0:21:56.840
<v Speaker 2>and he told me he's there to be, you know,

0:21:56.960 --> 0:22:00.239
<v Speaker 2>a co founder and a wife. Roy was singular in this,

0:22:00.359 --> 0:22:03.760
<v Speaker 2>but I think the idea that if it's hackable, why

0:22:03.760 --> 0:22:07.360
<v Speaker 2>am I learning this was something that resonated throughout all

0:22:07.359 --> 0:22:09.880
<v Speaker 2>of my interviews. And that's not just you know, sort

0:22:09.880 --> 0:22:12.960
<v Speaker 2>of a logic. It's also just kind of outside pressure

0:22:13.000 --> 0:22:15.960
<v Speaker 2>to excel, to get really good grades. If they feel

0:22:16.000 --> 0:22:17.920
<v Speaker 2>that pressure, they're going to use this tool.

0:22:18.119 --> 0:22:20.480
<v Speaker 3>Yeah, and that goes to I guess a larger question

0:22:20.560 --> 0:22:24.119
<v Speaker 3>I have, which is, you know, after reporting this article,

0:22:24.280 --> 0:22:27.800
<v Speaker 3>how common is it for college students to cheat using

0:22:28.320 --> 0:22:29.560
<v Speaker 3>just AI tools?

0:22:29.840 --> 0:22:31.480
<v Speaker 4>Now, Oh, I.

0:22:31.520 --> 0:22:35.600
<v Speaker 2>Think it's incredibly common. You know, our headline says everyone

0:22:35.720 --> 0:22:38.200
<v Speaker 2>is cheating, and I don't think that's I don't think

0:22:38.240 --> 0:22:40.600
<v Speaker 2>that's far off. One of the fascinating parts of this

0:22:40.680 --> 0:22:43.480
<v Speaker 2>article to me was talking to students and not using

0:22:43.520 --> 0:22:45.679
<v Speaker 2>the cheat word and watching them kind of work through it.

0:22:46.040 --> 0:22:48.080
<v Speaker 2>One of the students I talked to, Wendy, you know,

0:22:48.280 --> 0:22:52.040
<v Speaker 2>started our conversation by saying, I am against cheating. There

0:22:52.160 --> 0:22:55.560
<v Speaker 2>is a student handbook, and i am against cheating. I'm

0:22:55.560 --> 0:22:59.600
<v Speaker 2>against plagiarism. I'm against copy and pasting from chatgbt into

0:22:59.640 --> 0:23:02.879
<v Speaker 2>a document. And then she proceeded to tell me exactly

0:23:02.920 --> 0:23:05.320
<v Speaker 2>how she uses chat gpt to write all of her papers.

0:23:06.000 --> 0:23:08.240
<v Speaker 1>Now, was she the one who was using chat shept

0:23:08.800 --> 0:23:12.440
<v Speaker 1>to write the paper about how different modes of education

0:23:13.000 --> 0:23:16.399
<v Speaker 1>affected students callati development and you also, she's seen the

0:23:16.400 --> 0:23:19.680
<v Speaker 1>irony that she was using chatchipt to write this paper,

0:23:19.720 --> 0:23:23.120
<v Speaker 1>and she basically hadn't exactly Yeah, that is fine.

0:23:23.160 --> 0:23:26.200
<v Speaker 4>That's because chatchibt hasn't taught her about irony, right.

0:23:26.359 --> 0:23:27.240
<v Speaker 2>Hasn't covered that yet.

0:23:27.240 --> 0:23:29.040
<v Speaker 1>Well, she hadn't had time to think about it herself,

0:23:29.080 --> 0:23:30.480
<v Speaker 1>but she offloaded all of the work.

0:23:30.520 --> 0:23:34.200
<v Speaker 2>I mean, it's remarkable, Listen, I'm coming clean. I peaked

0:23:34.200 --> 0:23:35.960
<v Speaker 2>at spark notes every once in a while when I

0:23:36.000 --> 0:23:39.880
<v Speaker 2>was in college, so of course, but with spark notes

0:23:39.920 --> 0:23:42.520
<v Speaker 2>sort of like something that I relied on every single

0:23:42.560 --> 0:23:45.000
<v Speaker 2>time I got stuck. No, I think I had to

0:23:45.080 --> 0:23:47.000
<v Speaker 2>work through assignments a lot more often that I could

0:23:47.040 --> 0:23:47.920
<v Speaker 2>easily hack them.

0:23:48.200 --> 0:23:50.600
<v Speaker 3>The other thing that has changed a lot since I

0:23:50.640 --> 0:23:53.000
<v Speaker 3>guess we were students because you just mentioned spark notes

0:23:53.440 --> 0:23:57.520
<v Speaker 3>is like I was not contending with the allure of

0:23:57.560 --> 0:24:01.119
<v Speaker 3>anything but a Facebook wall, and one of the women

0:24:01.160 --> 0:24:04.240
<v Speaker 3>that you spoke to was talking about not so much

0:24:04.280 --> 0:24:06.879
<v Speaker 3>how hard school is, but how hard it is to

0:24:07.000 --> 0:24:13.720
<v Speaker 3>navigate all of the other digital distractions like TikTok, snapchat, Instagram,

0:24:14.200 --> 0:24:17.639
<v Speaker 3>And I guess, just based on you know, you're reporting

0:24:17.680 --> 0:24:20.359
<v Speaker 3>for this article, to what extent does the use of AI,

0:24:20.400 --> 0:24:25.120
<v Speaker 3>whether we're calling it cheating or enhanced studying, To what

0:24:25.200 --> 0:24:30.439
<v Speaker 3>extent does the pre existing digital landscape co opt the

0:24:30.560 --> 0:24:34.439
<v Speaker 3>ability to actually participate in the thing that you or

0:24:34.480 --> 0:24:38.520
<v Speaker 3>your parents or student loans are being used to send

0:24:38.560 --> 0:24:39.320
<v Speaker 3>you to university.

0:24:39.359 --> 0:24:42.240
<v Speaker 2>I don't know, Yeah, I mean, I think they're contending

0:24:42.320 --> 0:24:46.879
<v Speaker 2>with the swirl of whether it's social media or just

0:24:46.920 --> 0:24:50.800
<v Speaker 2>you know, the attention economy. The fact that chatgbt dropped,

0:24:50.880 --> 0:24:53.960
<v Speaker 2>you know what the end of twenty twenty two is

0:24:54.160 --> 0:24:57.399
<v Speaker 2>fascinating because we just figured out social media in school,

0:24:58.040 --> 0:25:01.560
<v Speaker 2>We're finally taking that seriously, and suddenly it's like, oh, well, here,

0:25:01.680 --> 0:25:04.280
<v Speaker 2>we're going to offer the greatest cheating tool that has

0:25:04.320 --> 0:25:06.960
<v Speaker 2>ever been created to co op people's attention. I mean,

0:25:07.119 --> 0:25:09.840
<v Speaker 2>I think one of the fascinating parts of this to

0:25:09.880 --> 0:25:12.840
<v Speaker 2>me was the kind of introduction of these websites cheg

0:25:12.920 --> 0:25:14.639
<v Speaker 2>and course Hero, which I you know, I didn't have

0:25:14.680 --> 0:25:16.919
<v Speaker 2>when I was an undergrad, but in a way, it

0:25:17.000 --> 0:25:20.320
<v Speaker 2>was like priming students to think it was okay to cheat.

0:25:20.880 --> 0:25:22.719
<v Speaker 1>These are websites where you could pay like an outsill

0:25:22.800 --> 0:25:24.560
<v Speaker 1>service to do your work for you.

0:25:24.400 --> 0:25:26.560
<v Speaker 2>Right, And you know, a website like cheg was employing

0:25:26.800 --> 0:25:31.280
<v Speaker 2>something like one hundred and fifty thousand experts, mostly in India,

0:25:31.320 --> 0:25:36.240
<v Speaker 2>who would provide answers to questions in thirty minutes or less.

0:25:36.600 --> 0:25:40.200
<v Speaker 2>And then chatgybt comes and you just see chegs stock

0:25:40.240 --> 0:25:44.200
<v Speaker 2>price just tanks because it was like one cheating tool

0:25:44.640 --> 0:25:45.639
<v Speaker 2>replacing another.

0:25:46.200 --> 0:25:49.320
<v Speaker 1>Is there an awareness that actually as fun and as

0:25:49.560 --> 0:25:52.680
<v Speaker 1>thrilling heck, this is that there's a real long term

0:25:52.800 --> 0:25:55.560
<v Speaker 1>price being paid in terms of how your mind is developing.

0:25:55.680 --> 0:25:57.359
<v Speaker 2>Yeah, I mean, I think there's certainly awareness on the

0:25:57.359 --> 0:25:59.720
<v Speaker 2>part of the professors and the people who are concerned

0:25:59.720 --> 0:26:03.120
<v Speaker 2>about that. There is, i will say, an awareness among students.

0:26:03.480 --> 0:26:05.600
<v Speaker 2>A lot of students were willing to engage in this,

0:26:05.960 --> 0:26:08.159
<v Speaker 2>and I was surprised by how many of the students

0:26:08.160 --> 0:26:10.000
<v Speaker 2>this was the first time they were having this conversation,

0:26:10.359 --> 0:26:12.040
<v Speaker 2>but they were eager to talk to me about this.

0:26:13.080 --> 0:26:18.520
<v Speaker 3>How forward thinking are academic institutions and educators about this,

0:26:18.760 --> 0:26:20.960
<v Speaker 3>like on the other side of things, because it's like

0:26:21.160 --> 0:26:23.520
<v Speaker 3>cheating is a little bit in the eye of the

0:26:23.600 --> 0:26:26.280
<v Speaker 3>cheater or is it in the eye of the place

0:26:26.400 --> 0:26:30.159
<v Speaker 3>that cheated cheated? Yeah, I mean that was such a

0:26:30.160 --> 0:26:31.399
<v Speaker 3>thing when I was younger.

0:26:31.160 --> 0:26:32.960
<v Speaker 1>Which is like you're plage cheating yourself.

0:26:33.240 --> 0:26:35.720
<v Speaker 3>Yeah, well, you're only cheating yourself, but like it was

0:26:35.760 --> 0:26:38.000
<v Speaker 3>also you could be kicked out of school, right right,

0:26:38.200 --> 0:26:40.960
<v Speaker 3>So to what extent are academic institutions like trying to

0:26:41.000 --> 0:26:41.639
<v Speaker 3>regulate this?

0:26:41.840 --> 0:26:44.920
<v Speaker 2>Yeah, the approach that most schools are taking is kind

0:26:44.920 --> 0:26:47.520
<v Speaker 2>of ad hoc. It's leaving it up to professors to

0:26:47.560 --> 0:26:51.359
<v Speaker 2>decide how they want to handle this. I'm kind of

0:26:51.359 --> 0:26:54.080
<v Speaker 2>sympathetic to that because it's such a difficult thing to regulate.

0:26:54.160 --> 0:26:57.080
<v Speaker 2>How on earth do you tell students to use something

0:26:57.200 --> 0:26:59.960
<v Speaker 2>that can help them and it's so difficult to cat,

0:27:00.359 --> 0:27:03.479
<v Speaker 2>you know, And so professors say, either you know, use it,

0:27:03.880 --> 0:27:06.480
<v Speaker 2>don't use it, or if you do use it, please

0:27:06.520 --> 0:27:09.520
<v Speaker 2>cite it, please provide a receipt you know that shows

0:27:09.560 --> 0:27:11.760
<v Speaker 2>the conversation you're having with chat GPT, so I can

0:27:11.800 --> 0:27:15.600
<v Speaker 2>watch kind of the gears turning. But again, it's really

0:27:15.640 --> 0:27:18.320
<v Speaker 2>hard to catch AI cheaters. You know. They have these

0:27:18.320 --> 0:27:23.240
<v Speaker 2>detection tools that really vary in their effectiveness, and even

0:27:23.320 --> 0:27:25.840
<v Speaker 2>if you are able to catch somebody using it just

0:27:25.880 --> 0:27:28.440
<v Speaker 2>by copy and pasting, you can't really catch somebody who's

0:27:28.520 --> 0:27:31.440
<v Speaker 2>just using it to generate ideas or generate topic sentences

0:27:31.480 --> 0:27:34.720
<v Speaker 2>and rewriting. And you can always launder AI text through

0:27:34.800 --> 0:27:38.159
<v Speaker 2>other AIS so that an AI detector can't really catch it.

0:27:38.640 --> 0:27:42.040
<v Speaker 2>So schools have quite the challenge in front of them.

0:27:42.560 --> 0:27:46.400
<v Speaker 2>And the challenge I think is convincing young students as

0:27:46.440 --> 0:27:49.440
<v Speaker 2>they come to their school why it's in their best

0:27:49.440 --> 0:27:50.840
<v Speaker 2>interests not to use AI.

0:27:51.200 --> 0:27:56.359
<v Speaker 1>Well, it's a fascinating moment for elite higher education institutions

0:27:56.400 --> 0:27:59.840
<v Speaker 1>in general, right, obviously in the cross hairs of the

0:27:59.840 --> 0:28:03.119
<v Speaker 1>t Trump administration. There was that David Brooks piece in

0:28:03.160 --> 0:28:06.000
<v Speaker 1>The Atlantic about three months ago about how kind of

0:28:06.200 --> 0:28:09.680
<v Speaker 1>elites and elite universities had failed and you were starting

0:28:09.680 --> 0:28:11.880
<v Speaker 1>to pay the price, and people were wondering whether the

0:28:11.920 --> 0:28:14.400
<v Speaker 1>price tag of going was even worth it. So there's

0:28:14.440 --> 0:28:18.400
<v Speaker 1>this kind of, like now tremendous new accelerant to those issues.

0:28:19.080 --> 0:28:21.800
<v Speaker 1>In terms of the neurological development side. Did you speak

0:28:21.840 --> 0:28:25.639
<v Speaker 1>to any cognitive psychologists or neuroscientists about what this. I

0:28:25.640 --> 0:28:28.560
<v Speaker 1>think I've heard the term cognitive offloading before, but like,

0:28:28.880 --> 0:28:31.080
<v Speaker 1>what's this doing to brains? Sure?

0:28:31.119 --> 0:28:34.720
<v Speaker 2>I mean I tried to dig into the research that's

0:28:34.760 --> 0:28:40.400
<v Speaker 2>out there on cognitive offloading, and there are a few

0:28:40.440 --> 0:28:42.600
<v Speaker 2>studies here and there that kind of show that, you know,

0:28:42.720 --> 0:28:49.640
<v Speaker 2>reliance on AI will reduce critical thinking. That's not necessarily surprising.

0:28:50.000 --> 0:28:52.800
<v Speaker 2>But I didn't want to lean too heavily on that

0:28:52.840 --> 0:28:56.600
<v Speaker 2>researcher or delve into it too much because it's so early,

0:28:56.720 --> 0:28:59.480
<v Speaker 2>and so our viewers kind of let the students speak

0:28:59.520 --> 0:29:01.200
<v Speaker 2>for themselves. I mean, what's fascinating to me is how

0:29:01.240 --> 0:29:04.080
<v Speaker 2>quickly this is happening. Also right the sudden realization. I

0:29:04.120 --> 0:29:07.160
<v Speaker 2>was like, oh my god, half of college students have

0:29:07.280 --> 0:29:10.520
<v Speaker 2>never known college without access to this. I do think

0:29:11.160 --> 0:29:13.640
<v Speaker 2>sooner rather than later, we'll kind of have a better

0:29:13.760 --> 0:29:16.120
<v Speaker 2>understanding of what's happening to people's brains.

0:29:16.600 --> 0:29:18.840
<v Speaker 1>I thought that was what was particularly brilliant about your piece.

0:29:18.880 --> 0:29:21.280
<v Speaker 1>It was almost like a piece of anthropology in terms

0:29:21.320 --> 0:29:24.200
<v Speaker 1>of you got to hear students in their own words,

0:29:24.560 --> 0:29:28.800
<v Speaker 1>wrestling with this problem. There's something which is very tempting

0:29:28.840 --> 0:29:30.520
<v Speaker 1>in front of them that they know is bad, but

0:29:30.520 --> 0:29:32.080
<v Speaker 1>they don't know what else to do. And I thought

0:29:32.080 --> 0:29:33.760
<v Speaker 1>that the drama of that really came across.

0:29:33.920 --> 0:29:36.720
<v Speaker 3>I felt a little bit of nostalgia when I was

0:29:36.720 --> 0:29:43.480
<v Speaker 3>reading your piece for the Forward Thinking Vigilante TI eighty

0:29:43.560 --> 0:29:47.959
<v Speaker 3>three Hacking Cara that existed when I was in twelfth grade,

0:29:48.280 --> 0:29:50.960
<v Speaker 3>and I was just, you know, I'm past the point

0:29:51.040 --> 0:29:55.440
<v Speaker 3>of using chat GPT for cognitive offloading to a certain extent,

0:29:55.520 --> 0:29:57.840
<v Speaker 3>because it doesn't feel native to me now, and I

0:29:58.000 --> 0:29:59.840
<v Speaker 3>just wonder, I don't want to use the word worse,

0:30:00.320 --> 0:30:04.040
<v Speaker 3>but just more ubiquitous in terms of you know, students

0:30:04.160 --> 0:30:08.760
<v Speaker 3>using it as a method of, you know, skirting.

0:30:08.400 --> 0:30:11.600
<v Speaker 1>The opportunity to develop their own critical faculties.

0:30:11.680 --> 0:30:15.160
<v Speaker 3>Yeah, and also just to the point of like people

0:30:15.200 --> 0:30:17.240
<v Speaker 3>want to spend time doing other things. I think that's

0:30:17.240 --> 0:30:19.280
<v Speaker 3>always been true, right where it's like you went to

0:30:19.320 --> 0:30:21.719
<v Speaker 3>college and you're like, well, I'd rather be hooking up

0:30:21.800 --> 0:30:24.480
<v Speaker 3>or partying or doing something else. Now it's like I'd

0:30:24.560 --> 0:30:28.520
<v Speaker 3>rather be on TikTok, Snapchat and Instagram than do my homework,

0:30:28.640 --> 0:30:31.120
<v Speaker 3>you know. So it's I think that's the difference. Is like,

0:30:31.200 --> 0:30:33.960
<v Speaker 3>it also is taking out a socialization piece, which is

0:30:34.280 --> 0:30:36.600
<v Speaker 3>really was a part of going to school as well,

0:30:36.800 --> 0:30:38.800
<v Speaker 3>which was like I'm going to talk to my peers

0:30:39.360 --> 0:30:41.680
<v Speaker 3>about what they're writing about. We're going to maybe sit

0:30:41.720 --> 0:30:43.600
<v Speaker 3>in the library together and confer. Now it's like a

0:30:43.640 --> 0:30:47.360
<v Speaker 3>reseitting around talking about how chat GBT you know, is

0:30:47.400 --> 0:30:49.120
<v Speaker 3>helping us write a chaucer essay.

0:30:49.680 --> 0:30:51.840
<v Speaker 2>Sure, I mean something that comes up time and time again,

0:30:52.400 --> 0:30:54.480
<v Speaker 2>is you know, it's the kind of one on one

0:30:54.680 --> 0:30:57.760
<v Speaker 2>learning that students can do with chat GBT. They have

0:30:57.920 --> 0:31:01.760
<v Speaker 2>this brilliant ta at their fingertips at all times and

0:31:02.400 --> 0:31:04.600
<v Speaker 2>over and over talking to students are like I do it.

0:31:04.600 --> 0:31:06.760
<v Speaker 2>It's instead office hours, it's instead office hours. I talked

0:31:06.800 --> 0:31:09.960
<v Speaker 2>to professors who said, like, our office hours have just tanked.

0:31:10.600 --> 0:31:14.280
<v Speaker 2>People aren't showing up, and of course something is lost, right,

0:31:14.360 --> 0:31:17.600
<v Speaker 2>And you know, I'm I was kind of shy in college,

0:31:17.640 --> 0:31:21.280
<v Speaker 2>Like I took some amount of like staring in the mirror,

0:31:21.320 --> 0:31:22.400
<v Speaker 2>being like, all right, you're going to show up to

0:31:22.400 --> 0:31:24.880
<v Speaker 2>office hours, And I think I got something out of that.

0:31:25.600 --> 0:31:28.240
<v Speaker 2>So I think that the loss of those interactions is

0:31:28.320 --> 0:31:30.360
<v Speaker 2>going to be measurable in some ways as well.

0:31:31.040 --> 0:31:33.840
<v Speaker 1>James. Just to close, one of the most surprising moments

0:31:33.840 --> 0:31:36.800
<v Speaker 1>in Your Peace is a quote from Sam Altman, who

0:31:36.880 --> 0:31:40.440
<v Speaker 1>said before Congress, I worry that as models get better

0:31:40.480 --> 0:31:43.440
<v Speaker 1>and better, users can have sort of less and less

0:31:43.440 --> 0:31:47.840
<v Speaker 1>of their own discriminating process. Surprised to hear that from him,

0:31:48.040 --> 0:31:50.800
<v Speaker 1>I'm curious, did you reach out for traditional comment and

0:31:50.840 --> 0:31:54.080
<v Speaker 1>how are the tech companies as a whole responding to

0:31:54.120 --> 0:31:55.560
<v Speaker 1>this phenomenon? Right?

0:31:56.080 --> 0:31:58.600
<v Speaker 2>Sam Altman said that in I think twenty twenty three,

0:31:59.160 --> 0:32:01.480
<v Speaker 2>we of course reached out to Open Air for comment,

0:32:01.560 --> 0:32:05.560
<v Speaker 2>and they pointed us toward just their education platform. You know,

0:32:05.640 --> 0:32:10.160
<v Speaker 2>I think this is something that the platforms are very

0:32:10.160 --> 0:32:14.480
<v Speaker 2>aware of, and even in the context of education. I

0:32:14.520 --> 0:32:19.400
<v Speaker 2>spoke to somebody from Anthropic about this on their education team,

0:32:19.800 --> 0:32:23.680
<v Speaker 2>and he said that they had expected students to be

0:32:23.800 --> 0:32:26.280
<v Speaker 2>some of the you know, the earliest adopters, but they

0:32:26.280 --> 0:32:30.440
<v Speaker 2>were still shocked by how true that is and how

0:32:30.640 --> 0:32:35.240
<v Speaker 2>much adoption there is on college campuses and so. And

0:32:35.280 --> 0:32:39.000
<v Speaker 2>they are also you know, concerned about the implications of that.

0:32:39.480 --> 0:32:43.400
<v Speaker 2>You know, open ai has apparently reportedly its own watermark

0:32:43.680 --> 0:32:47.000
<v Speaker 2>that would effectively cut down on plagiarism, but has chosen

0:32:47.160 --> 0:32:49.400
<v Speaker 2>not to release it. So, you know, I'm really interesting

0:32:49.640 --> 0:32:52.480
<v Speaker 2>what those conversations inside the company are like as well.

0:32:52.960 --> 0:32:54.880
<v Speaker 3>I mean, the fact that open a I could use

0:32:54.920 --> 0:32:57.680
<v Speaker 3>a water mark but refuses to really shows me who

0:32:57.720 --> 0:32:58.920
<v Speaker 3>these companies are targeting.

0:32:59.520 --> 0:33:01.760
<v Speaker 2>I mean, one of the most dystopian things that happened

0:33:01.760 --> 0:33:05.120
<v Speaker 2>to me while we were closing this piece. I got

0:33:05.160 --> 0:33:08.920
<v Speaker 2>like the push alert about Google launching this AI chatbot

0:33:08.920 --> 0:33:12.000
<v Speaker 2>for children under thirteen, and it was just like more

0:33:12.040 --> 0:33:15.120
<v Speaker 2>evidence that all these platforms are in a race to

0:33:15.200 --> 0:33:19.239
<v Speaker 2>capture this kind of like loyalty among younger users. And

0:33:19.320 --> 0:33:21.640
<v Speaker 2>it just seems like a moment when we should kind

0:33:21.640 --> 0:33:22.800
<v Speaker 2>of all be putting the brakes on.

0:33:25.040 --> 0:33:25.360
<v Speaker 1>James.

0:33:25.360 --> 0:33:28.320
<v Speaker 4>Thank you, thank you, James, thank you very much for

0:33:28.320 --> 0:33:38.080
<v Speaker 4>having me. That's it for this week for text Stuff,

0:33:38.080 --> 0:33:39.120
<v Speaker 4>I'm Kara Price and.

0:33:39.080 --> 0:33:42.280
<v Speaker 1>I'm mos Veloschin. This episode was produced by Eliza Dennis

0:33:42.280 --> 0:33:45.240
<v Speaker 1>and Victoria de Minuez. It was executive produced by me,

0:33:45.600 --> 0:33:48.960
<v Speaker 1>Karra Price and Kate Osborne of The Kaleidoscope and Katrina

0:33:49.040 --> 0:33:52.959
<v Speaker 1>Novel for iHeart Podcasts. The engineer is Phite Fraser and

0:33:53.080 --> 0:33:56.360
<v Speaker 1>Kyle Murdol mixed this episode. He also wrote off theme song.

0:33:56.680 --> 0:33:59.240
<v Speaker 3>Join us next Wednesday for text Stuff The Story and

0:33:59.320 --> 0:34:01.880
<v Speaker 3>we will share an in depth conversation with Sir David

0:34:01.920 --> 0:34:06.240
<v Speaker 3>Spiegelhalter to discuss all things risk in life, love, and

0:34:06.320 --> 0:34:07.440
<v Speaker 3>of course tech.

0:34:08.160 --> 0:34:10.719
<v Speaker 1>Please rate and review the show on Apple Podcasts or

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