WEBVTT - Tech News: Montana Bans TikTok But Will It Work?

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<v Speaker 1>Welcome to tech Stuff, a production from iHeartRadio. Hey there,

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<v Speaker 1>and welcome to tech Stuff. I'm your host, Jonathan Strickland.

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<v Speaker 1>I'm an executive producer with iHeartRadio. And how the tech

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<v Speaker 1>are you. It's time for the tech news for Thursday

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<v Speaker 1>May eighteen, twenty twenty three. So first up here in

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<v Speaker 1>the United States, the Supreme Court decided not to hear

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<v Speaker 1>two cases that otherwise could have forced a decision about

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<v Speaker 1>the infamous Section too thirty rules. So, in case you

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<v Speaker 1>need a refresher, Section two thirty is part of Title

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<v Speaker 1>forty seven of the United States Code. Probably need to

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<v Speaker 1>add more context to that. It was introduced in the

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<v Speaker 1>Communications Decency Act of nineteen ninety six, that in turn

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<v Speaker 1>is part of an even larger act called the Telecommunications

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<v Speaker 1>Act of nineteen ninety six. And the whole point of

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<v Speaker 1>Section two thirty is that it gives online platforms protection

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<v Speaker 1>from liability if users post stuff that's you know, illegal

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<v Speaker 1>on those platforms. So, in other words, let's say I

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<v Speaker 1>created a YouTube video and my video contained illegal content

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<v Speaker 1>in it. Well, YouTube slash, Google, slash alphabet wouldn't be

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<v Speaker 1>held legally responsible for what I did because of Section

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<v Speaker 1>two thirty it's just the platform. I'm the one who

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<v Speaker 1>committed the crime. So this protects the platforms from hosting

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<v Speaker 1>and being held legally liable for hosting content that's illegal

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<v Speaker 1>for whatever reason. It does get a little more complicated

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<v Speaker 1>than that, but that's the basic idea. And there were

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<v Speaker 1>a couple of notable cases, big, big emotionally charged cases

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<v Speaker 1>that were recently submitted to the Supreme Court for consideration,

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<v Speaker 1>and they could have served as a test for Section

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<v Speaker 1>two thirty's legitimacy from a constitutional standpoint. But it turns

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<v Speaker 1>out that's not happening because the Court found that neither

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<v Speaker 1>case had merit for other reasons, like they wouldn't hear

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<v Speaker 1>the case, not because of the Section two thirty thing,

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<v Speaker 1>but for other reasons. Essentially, the Supreme Court said that

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<v Speaker 1>the cases were accusing platforms of violating the Anti Terrorism

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<v Speaker 1>Act and that that particular law shouldn't have applied in

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<v Speaker 1>the first place. So there was no case there, right, Like,

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<v Speaker 1>they can't use that law as the reason to bring

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<v Speaker 1>a case against the company because it doesn't apply. So

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<v Speaker 1>the Supreme Court said it would not be weighing in

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<v Speaker 1>with a decision about Section two thirty because the case

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<v Speaker 1>isn't relevant. So you could say the Supreme Court has

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<v Speaker 1>sort of punted the decision regarding Section two thirty down

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<v Speaker 1>the field, and it will take some other legal matter

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<v Speaker 1>in the future that involves Section two thirty to make

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<v Speaker 1>the Supreme Court, you know, make an actual decision that

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<v Speaker 1>settles the question about whether or not Section two thirty

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<v Speaker 1>is constitutional. The US state of Montana has become the

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<v Speaker 1>first state in our nation to issue a ban on TikTok.

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<v Speaker 1>The ban will not actually take effect until January first,

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<v Speaker 1>next year, assuming that the various challenges to this new

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<v Speaker 1>law don't end up making the whole matter moot. So

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<v Speaker 1>the justification for banning TikTok boils down to a concern

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<v Speaker 1>that the Chinese Communist Party is essentially relying on TikTok

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<v Speaker 1>to gather intelligence about US citizens and institutions. So the

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<v Speaker 1>reason for banning TikTok is to prevent Chinese surveillance. TikTok,

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<v Speaker 1>for what it's worth, disputes these accusations and says that

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<v Speaker 1>no one from the Chinese Communist Party has access to

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<v Speaker 1>data on its US data servers. The American Civil Liberties

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<v Speaker 1>Union or ACLU, argues that banning TikTok amounts to violations

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<v Speaker 1>of the First Amendment, aka the right to free speech,

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<v Speaker 1>due to the fact that folks depend upon the platform

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<v Speaker 1>to express their views and to view others. So the

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<v Speaker 1>ACLU's argument says, the law is unconstitutional, so it should

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<v Speaker 1>just be voided. It should not be put into place

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<v Speaker 1>because it violates constitutional rights. From a technical perspective, banning

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<v Speaker 1>an online service from a specific state comes with its

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<v Speaker 1>own set of challenges. If TikTok is allowed elsewhere, like,

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<v Speaker 1>if it's available anywhere other than Montana, how do you

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<v Speaker 1>prevent it from crossing state lines? So Montana says it

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<v Speaker 1>will find TikTok if the service continues to operate within

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<v Speaker 1>Montana's state boundaries, and further, it will also find online

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<v Speaker 1>apps like Apple and Google's app stores if they do

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<v Speaker 1>not prevent folks within Montana citizens of Montana from downloading

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<v Speaker 1>the app. But again this gets tricky. I mean, you

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<v Speaker 1>could use a VPN, a virtual private network, which would

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<v Speaker 1>make it look as if you're not in Montana. So

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<v Speaker 1>you're in Montana, you decide you're going to use this VPN,

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<v Speaker 1>and it makes you look like you're in North Dakota

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<v Speaker 1>or something. Well, you just bypass that whatever geo fencing

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<v Speaker 1>strategy was in place to prevent TikTok from getting to you.

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<v Speaker 1>So does that then mean Montana would also have to

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<v Speaker 1>consider a ban on VPNs to try and prevent the workaround.

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<v Speaker 1>I honestly think this law is a lost cause at

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<v Speaker 1>a state level. I just don't think it works. It

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<v Speaker 1>doesn't really work on a technical level. It may not

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<v Speaker 1>work on a legal level. I'm no legal expert, and

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<v Speaker 1>I don't think it works on a social level either.

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<v Speaker 1>As for TikTok's potential for harm, I have some thoughts

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<v Speaker 1>about that. I mean, it is true that TikTok is

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<v Speaker 1>a subsidiary of a Chinese company, Byte Dance, and it's

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<v Speaker 1>also true that China has laws that compel citizens and

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<v Speaker 1>companies to gather intelligence on behalf of the Chinese Communist Party.

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<v Speaker 1>These things are true. But even if you were to

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<v Speaker 1>wipe TikTok off the face of the earth, let's say

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<v Speaker 1>we just obliterated it from space, because it's the only

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<v Speaker 1>way to be sure, the Chinese Communist Party could still

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<v Speaker 1>scoop up tons of information about US citizens, because news flash,

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<v Speaker 1>our personal data is floating around in various databases all

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<v Speaker 1>over the place, like our activities online are constantly being

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<v Speaker 1>tracked and not like actively monitored, but certainly notated. There

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<v Speaker 1>are records of all this stuff that we do online,

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<v Speaker 1>particularly on things like social networks, And there's an industry

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<v Speaker 1>that's grown up around the buying and selling of personal information.

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<v Speaker 1>And I'm not even talking about clandestine stuff here, like

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<v Speaker 1>for the purposes of espionage. The online advertising ecosystem depends

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<v Speaker 1>upon this infrastructure of personal data being bought and sold.

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<v Speaker 1>So even if we get rid of TikTok, there are

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<v Speaker 1>plenty of ways anyone, including the Chinese Communist Party, could

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<v Speaker 1>gobble up personal data, because there's so much that's out

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<v Speaker 1>there that's just being bought and sold all the time. Anyway,

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<v Speaker 1>now that being said, I also recognize that TikTok has

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<v Speaker 1>the potential to cause great harm, not by being a

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<v Speaker 1>surveillance tool necessarily, but by serving up harmful content to users,

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<v Speaker 1>particularly impressionable younger users, and a lot of young people

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<v Speaker 1>use TikTok. However, that's also the case with lots of

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<v Speaker 1>other social networks and platforms that serve up user generated content.

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<v Speaker 1>They also can be potentially really harmful to specific people

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<v Speaker 1>particularly impressionable young people. But this really gets more into

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<v Speaker 1>how platforms depend heavily on algorithms to serve up content

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<v Speaker 1>in an effort to try and keep eyeballs on the

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<v Speaker 1>service for as long as possible, right, Like, their whole

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<v Speaker 1>goal is to keep you there and serve you ads,

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<v Speaker 1>and the longer they keep you there, the more ads

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<v Speaker 1>they serve and the more revenue they generate. So to

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<v Speaker 1>do that, they design algorithms that are essentially looking for hooks.

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<v Speaker 1>They're looking for things that interest you, and if you

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<v Speaker 1>indicate that you're interested in something like if you were

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<v Speaker 1>to watch a specific type of TikTok video all the

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<v Speaker 1>way through, the algorithm says, aha, this is what this

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<v Speaker 1>person likes. Let's grab things that are similar to that

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<v Speaker 1>and keep serving it to them so that they stay

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<v Speaker 1>on here longer. If that thing that you watched happens

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<v Speaker 1>to be harmful in some way, like, for instance, let's

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<v Speaker 1>say it's promoting something like a behavior that falls into

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<v Speaker 1>the category of anorexia, and you happen to have a

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<v Speaker 1>vulnerable self image issue, you could end up seeing video

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<v Speaker 1>after a video that's reinforcing that particular message, and that

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<v Speaker 1>can be harmful I think that's where TikTok poses a

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<v Speaker 1>lot of harm. But at the same time, like I said,

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<v Speaker 1>it's true across lots of different platforms. It's not unique

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<v Speaker 1>to TikTok. It is insidious, it is a problem, but

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<v Speaker 1>it's not a TikTok problem. It's bigger than that. So

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<v Speaker 1>I guess what I'm really saying is that Montana's law

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<v Speaker 1>it seems like it's going to be challenging to enforce,

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<v Speaker 1>it might not be constitutionally sound, which means it won't

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<v Speaker 1>be around forever anyway. And in the end, the most

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<v Speaker 1>tragic thing I think is that it's not actually addressing

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<v Speaker 1>the problems that really do exist, whether TikTok does or not.

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<v Speaker 1>On a related note, the Federal Trade Commission, or FTC

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<v Speaker 1>here in the United States has accused a fertility tracking

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<v Speaker 1>app called pre Mom of being real Lucy Goosey sensitive

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<v Speaker 1>data and thus violating the FTC's health breach notification rule

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<v Speaker 1>in the process. So obviously, if you are using a

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<v Speaker 1>fertility tracking app, you are also sharing some very personal

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<v Speaker 1>private information with that app. This is data that traditionally

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<v Speaker 1>would be trusted to a healthcare provider, and healthcare providers

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<v Speaker 1>need to follow very strict rules to keep patient information

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<v Speaker 1>secure and private. That's like one of the top concerns

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<v Speaker 1>for handling data in the healthcare sector. But the FTC

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<v Speaker 1>says that pre mom was sharing personal and private data

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<v Speaker 1>with third parties, including advertisers, and that also included data

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<v Speaker 1>that would make it trivial to identify a specific user

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<v Speaker 1>rather than anonymized data that would keep your identity secret.

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<v Speaker 1>And the FTC says that among those entities that it

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<v Speaker 1>shared this information with were two Chinese mobile analytics companies

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<v Speaker 1>that had previously been flagged as showing quote suspect privacy

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<v Speaker 1>practices in the quote according to Connecticut's Attorney general, so

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<v Speaker 1>this is an example of what I was just talking about. That,

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<v Speaker 1>you know, TikTok does not represent the sole weakness in

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<v Speaker 1>protecting US citizens private data, even just from China. The

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<v Speaker 1>company Easy Healthcare has copped to the fact that it

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<v Speaker 1>has inappropriately shared private information with companies, including two Chinese companies.

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<v Speaker 1>It has agreed to pay a one hundred thousand dollars

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<v Speaker 1>civil penalty and has marked another one hundred grand to

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<v Speaker 1>be split between the states of Connecticut and Oregon, as

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<v Speaker 1>well as Washington. D C also PRIMAM will no longer

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<v Speaker 1>be allowed to share personal data with third parties, and

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<v Speaker 1>it also has to ask third parties with whom they

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<v Speaker 1>had previously shared in information to delete that information. However,

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<v Speaker 1>there's no legal requirement for those third parties to do that.

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<v Speaker 1>There's no like enforcement teeth that will make them have

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<v Speaker 1>to go and delete that information. So whether that happens

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<v Speaker 1>or not remains to be seen, but I remain skeptical. Okay,

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<v Speaker 1>we've got a lot more stories to go over before

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<v Speaker 1>we get to those, let's take a quick break. We're back.

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<v Speaker 1>So the British broadband and mobile provider BT Group has

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<v Speaker 1>announced that over the next several years from now to

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<v Speaker 1>twenty thirty, essentially the company plans to cut around fifty

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<v Speaker 1>five thousand jobs that would represent more than forty percent

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<v Speaker 1>of its current workforce. Now this isn't just some sort

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<v Speaker 1>of disastrous news. BT Group. Over the last several years

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<v Speaker 1>has been working to roll out internet fiber infrastructure as

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<v Speaker 1>well as five G deployment, and throughout that process they've

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<v Speaker 1>had to bring on lots of extra hands to get

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<v Speaker 1>stuff done, including a lot of contractors. So part of

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<v Speaker 1>this is just that once it actually has finished that

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<v Speaker 1>project of creating this infrastructure and deploying five G it's

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<v Speaker 1>not going to have the need for all those people

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<v Speaker 1>who are currently making that happen. For another matter, BT

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<v Speaker 1>Group anticipates that AI and automation are going to end

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<v Speaker 1>up handling a lot of the tasks that are behind

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<v Speaker 1>the scenes, and that will mean there will need to

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<v Speaker 1>be fewer actual human beings doing that stuff. Teams themselves

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<v Speaker 1>on BT Group side will need to be smaller or

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<v Speaker 1>they won't need to be as large, if you want

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<v Speaker 1>to look at it that way. So the company has

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<v Speaker 1>our already met with the Communication Workers Union or CWU

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<v Speaker 1>to kind of talk this over right, because obviously, with

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<v Speaker 1>unions and everything, a company can't just willy nilly make

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<v Speaker 1>decisions to cut tens of thousands of people over the

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<v Speaker 1>next several years. And the CWU says that BT Group

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<v Speaker 1>really needs to focus on contractors first, and you know,

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<v Speaker 1>the people who had been hired specifically for things like

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<v Speaker 1>building out this infrastructure and to sunset those positions first.

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<v Speaker 1>That's where the priority should be before you start to

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<v Speaker 1>even touch company staff. On the one hand, the story

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<v Speaker 1>does feel like it's starting to lean a little bit

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<v Speaker 1>into the fear and uncertainty and doubt about AI taking

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<v Speaker 1>jobs away. There is an element of that here, But

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<v Speaker 1>on the other hand, it also stresses how it is

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<v Speaker 1>important for companies to try and be efficient and to

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<v Speaker 1>avoid the trap of creating a workforce that's too large

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<v Speaker 1>to support the actual amount of work to be done.

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<v Speaker 1>You know, we've heard again and again in the States

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<v Speaker 1>that tech companies had come to a conclusion that leaders

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<v Speaker 1>in tech companies, I should say, came to the conclusion

0:15:08.680 --> 0:15:11.960
<v Speaker 1>that they were overinflated in their workforce. They had too

0:15:12.040 --> 0:15:15.600
<v Speaker 1>many people and not enough work to go around. I'm

0:15:15.640 --> 0:15:19.320
<v Speaker 1>sure that was true in some cases, and it doesn't

0:15:19.360 --> 0:15:22.280
<v Speaker 1>do anyone any favors for a company to just kind

0:15:22.320 --> 0:15:27.960
<v Speaker 1>of act as a holding facility for adults when they

0:15:27.960 --> 0:15:30.520
<v Speaker 1>don't have anything to do. They're not being productive, they're

0:15:30.560 --> 0:15:33.600
<v Speaker 1>not adding anything to the company, they're not adding anything

0:15:33.680 --> 0:15:37.320
<v Speaker 1>to society. Their time could be better spent doing something else.

0:15:37.520 --> 0:15:40.800
<v Speaker 1>Although it might be comforting to know that you've got

0:15:41.080 --> 0:15:44.360
<v Speaker 1>a steady paycheck even if you don't have steady work.

0:15:45.240 --> 0:15:48.680
<v Speaker 1>So yeah, there's both sides to that, and I can

0:15:48.720 --> 0:15:52.000
<v Speaker 1>see both sides in that particular story. Over in Italy,

0:15:52.640 --> 0:15:55.680
<v Speaker 1>the government has actually set aside thirty million euros to

0:15:55.720 --> 0:15:59.560
<v Speaker 1>create programs to help people improve their work skills specifically,

0:16:00.080 --> 0:16:02.600
<v Speaker 1>and an effort to smooth the transition to a future

0:16:02.680 --> 0:16:05.920
<v Speaker 1>where certain types of work are more likely to be

0:16:06.000 --> 0:16:09.360
<v Speaker 1>automated or handed over to AI. So the goal is

0:16:09.400 --> 0:16:12.800
<v Speaker 1>to identify sectors that are most likely to be impacted

0:16:12.840 --> 0:16:16.520
<v Speaker 1>by automation and to prepare people who are currently employed

0:16:16.520 --> 0:16:19.600
<v Speaker 1>in those jobs to learn marketable skills so that they

0:16:19.640 --> 0:16:22.760
<v Speaker 1>can then change career paths to something that's more sustainable.

0:16:23.320 --> 0:16:27.040
<v Speaker 1>I think that's great. I think it recognizes that if

0:16:27.080 --> 0:16:31.360
<v Speaker 1>you have an unskilled workforce that's harmful to everybody. It's

0:16:31.400 --> 0:16:34.080
<v Speaker 1>not just the workers themselves, although clearly it's a hardship

0:16:34.080 --> 0:16:36.560
<v Speaker 1>on them, because if you're suddenly out of work and

0:16:36.600 --> 0:16:41.240
<v Speaker 1>you don't have marketable skills, it becomes very difficult, right,

0:16:41.720 --> 0:16:44.600
<v Speaker 1>But beyond that, it is hard and bad for society

0:16:44.600 --> 0:16:48.720
<v Speaker 1>at large for that to happen. It becomes an impediment

0:16:48.800 --> 0:16:51.560
<v Speaker 1>to the whole, not just to the person. So it

0:16:51.680 --> 0:16:55.560
<v Speaker 1>makes sense to build in these systems to try and

0:16:55.680 --> 0:16:58.720
<v Speaker 1>help people prepare for the future so that you have

0:16:59.680 --> 0:17:04.520
<v Speaker 1>a animal impact on both the individuals and the country

0:17:04.560 --> 0:17:06.919
<v Speaker 1>as a whole. I do think it's going to require

0:17:06.960 --> 0:17:10.720
<v Speaker 1>way more than thirty million euros to adequately prepare people

0:17:10.720 --> 0:17:13.800
<v Speaker 1>for how AI and automation are going to disrupt multiple industries.

0:17:14.520 --> 0:17:17.720
<v Speaker 1>But it's a start, and that's something like that should

0:17:17.760 --> 0:17:22.840
<v Speaker 1>be applauded that there's actually effort being done to work

0:17:22.880 --> 0:17:27.639
<v Speaker 1>on this now for some really fun stuff. So YouTube

0:17:28.240 --> 0:17:33.240
<v Speaker 1>participated in essentially what amounted to some upfronts recently and

0:17:33.320 --> 0:17:37.919
<v Speaker 1>made a few announcements that are sure to irritate certain users. So,

0:17:38.000 --> 0:17:41.479
<v Speaker 1>first off, upfronts are a type of industry event. If

0:17:41.520 --> 0:17:45.000
<v Speaker 1>you've never heard the phrase upfront before, here's what it is.

0:17:45.520 --> 0:17:49.560
<v Speaker 1>It's a kind of event where a platform that carries

0:17:49.680 --> 0:17:53.720
<v Speaker 1>some form of content and thus advertises against that content

0:17:54.320 --> 0:17:59.760
<v Speaker 1>gets up front of actual advertising companies, or rather up

0:17:59.840 --> 0:18:04.800
<v Speaker 1>in front of them. So it's pretty typical for these platforms,

0:18:04.840 --> 0:18:08.160
<v Speaker 1>which can include everything from a streaming service to a

0:18:08.200 --> 0:18:12.600
<v Speaker 1>cable television network, to trot out some talent. It becomes

0:18:12.640 --> 0:18:15.840
<v Speaker 1>kind of a dog and pony show. They'll promote upcoming

0:18:16.000 --> 0:18:19.600
<v Speaker 1>content and it's all in an effort to get advertisers

0:18:19.600 --> 0:18:24.440
<v Speaker 1>excited and to attract that sweet, sweet cash. Well, YouTube

0:18:24.760 --> 0:18:27.840
<v Speaker 1>held its own event that was pretty much an upfront,

0:18:28.200 --> 0:18:31.000
<v Speaker 1>and during that event, announced that one change coming to

0:18:31.040 --> 0:18:33.679
<v Speaker 1>its service is that for people who watch YouTube on

0:18:34.240 --> 0:18:39.159
<v Speaker 1>a television, they may soon encounter ads that are thirty

0:18:39.280 --> 0:18:42.840
<v Speaker 1>seconds long, and they might get a single thirty second

0:18:42.920 --> 0:18:47.240
<v Speaker 1>long ad rather than two fifteen second ads, and these

0:18:47.240 --> 0:18:51.040
<v Speaker 1>will be unskippable ads when they start a video, so

0:18:51.080 --> 0:18:53.919
<v Speaker 1>you get a full thirty six second commercial before you

0:18:53.920 --> 0:18:56.399
<v Speaker 1>can start watching whatever it is you're watching on YouTube

0:18:56.440 --> 0:19:00.399
<v Speaker 1>on your television. Further, YouTube is going to tell a

0:19:00.440 --> 0:19:04.560
<v Speaker 1>feature that will show ads to people who pause a video.

0:19:04.720 --> 0:19:06.760
<v Speaker 1>So you've got a video going, you need to pause

0:19:06.800 --> 0:19:09.080
<v Speaker 1>it for a bit, and then an ad begins to

0:19:09.080 --> 0:19:11.800
<v Speaker 1>play while the video itself is on pause. Now, the

0:19:11.840 --> 0:19:14.920
<v Speaker 1>example that YouTube showed is not quite as obnoxious as

0:19:14.960 --> 0:19:17.199
<v Speaker 1>what I first imagined. Like to me, it sounded like

0:19:17.920 --> 0:19:22.800
<v Speaker 1>the frame of the YouTube video would suddenly be taken

0:19:22.840 --> 0:19:26.159
<v Speaker 1>over by a commercial. No, apparently, it's more like in

0:19:26.200 --> 0:19:29.879
<v Speaker 1>a banner that appears to the side of the video,

0:19:29.960 --> 0:19:33.600
<v Speaker 1>and you might have a video ad playing out in

0:19:33.640 --> 0:19:36.119
<v Speaker 1>that banner, but it doesn't replace whatever it was you

0:19:36.160 --> 0:19:39.080
<v Speaker 1>were watching, so it's not quite that bad. Plus, they

0:19:39.119 --> 0:19:44.040
<v Speaker 1>showed a dismiss button beneath the ad itself, which at

0:19:44.119 --> 0:19:47.600
<v Speaker 1>least indicates that you could quickly click on dismiss so

0:19:47.640 --> 0:19:51.960
<v Speaker 1>that that little automated ad stops playing. So not as

0:19:52.000 --> 0:19:56.960
<v Speaker 1>bad as I first imagined based upon the description, I

0:19:57.000 --> 0:19:59.480
<v Speaker 1>guess for you know, it's not the worst thing in

0:19:59.520 --> 0:20:02.320
<v Speaker 1>the world. It's for people who are watching YouTube on

0:20:02.359 --> 0:20:05.640
<v Speaker 1>television who are not part of YouTube Premium. I'm sure

0:20:05.920 --> 0:20:10.200
<v Speaker 1>this will be frustrating to them. For people who are

0:20:10.200 --> 0:20:13.000
<v Speaker 1>on YouTube Premium, you know you're paying a subscription fee,

0:20:13.000 --> 0:20:15.800
<v Speaker 1>you don't get ads for you at all, So y'all

0:20:15.800 --> 0:20:19.960
<v Speaker 1>are good. A professor at Texas A and M University

0:20:20.040 --> 0:20:26.040
<v Speaker 1>reportedly gave several students an X grade, which indicates an incomplete.

0:20:26.080 --> 0:20:30.080
<v Speaker 1>It's not a fail, but it is an incomplete. And

0:20:30.840 --> 0:20:33.920
<v Speaker 1>this included students who were at senior level who otherwise

0:20:33.920 --> 0:20:37.320
<v Speaker 1>would have graduated but then were denied diplomas because they

0:20:37.359 --> 0:20:40.680
<v Speaker 1>had a course where they had an incomplete. So why

0:20:40.720 --> 0:20:46.320
<v Speaker 1>did the professor give incompletes to these students. Well, allegedly

0:20:46.359 --> 0:20:50.360
<v Speaker 1>what happened is the professor assigned several essays and then

0:20:50.440 --> 0:20:54.439
<v Speaker 1>took essays that were submitted by students and fed the

0:20:54.600 --> 0:20:59.560
<v Speaker 1>essays into what he referred to as chat GTP. Of

0:20:59.600 --> 0:21:05.480
<v Speaker 1>course he meant chat GPT, not GTP, but that mistake

0:21:05.560 --> 0:21:06.960
<v Speaker 1>is easy to make. I'm not gonna give him too

0:21:07.000 --> 0:21:09.399
<v Speaker 1>much grief for that. I will say the Rolling Stones article,

0:21:09.920 --> 0:21:13.640
<v Speaker 1>of the Rolling Stone article, it's not the band, the magazine.

0:21:13.640 --> 0:21:17.840
<v Speaker 1>The Rolling Stone article was way more snarky about this

0:21:18.000 --> 0:21:20.800
<v Speaker 1>than I will be. But anyway, he was asking chat

0:21:20.880 --> 0:21:25.720
<v Speaker 1>gpt if it had been responsible for part or all

0:21:26.000 --> 0:21:30.640
<v Speaker 1>of the various essays, and apparently chat GPT said it

0:21:30.840 --> 0:21:34.600
<v Speaker 1>was responsible for at least some part of these essays.

0:21:34.640 --> 0:21:39.000
<v Speaker 1>So boom, students get an incomplete because it appears that

0:21:39.080 --> 0:21:41.960
<v Speaker 1>the work they submitted was not their own. The problem

0:21:42.000 --> 0:21:45.920
<v Speaker 1>with this is that chat GPT doesn't really work that way.

0:21:46.520 --> 0:21:51.640
<v Speaker 1>You can submit material to chat GPT that it definitively

0:21:52.040 --> 0:21:55.960
<v Speaker 1>did not create and then ask it if it created

0:21:55.960 --> 0:21:59.280
<v Speaker 1>the material, and it might say it did, or it

0:21:59.359 --> 0:22:03.080
<v Speaker 1>might say it could have, which isn't quite the same thing,

0:22:03.119 --> 0:22:07.280
<v Speaker 1>but still, you know, raises doubt. People have actually shown

0:22:07.280 --> 0:22:11.200
<v Speaker 1>this off by using passages from classic novels, and chat

0:22:11.240 --> 0:22:15.199
<v Speaker 1>GPT just confidently says maybe it actually wrote that, so

0:22:15.320 --> 0:22:18.960
<v Speaker 1>you could say, wow, according to chat GPT, it created

0:22:18.960 --> 0:22:22.760
<v Speaker 1>great expectations or bride and prejudice, which would be quite

0:22:22.760 --> 0:22:25.760
<v Speaker 1>a trick for chat g t two have done that.

0:22:25.880 --> 0:22:29.360
<v Speaker 1>So the students are understandably upset that they got an

0:22:29.359 --> 0:22:33.280
<v Speaker 1>incomplete and were accused of plagiarism, essentially of foisting their

0:22:33.320 --> 0:22:36.800
<v Speaker 1>work onto an AI chatbot, and they did no such thing,

0:22:37.280 --> 0:22:41.560
<v Speaker 1>and the professor did not realize that chat GPT can't

0:22:41.680 --> 0:22:45.320
<v Speaker 1>be relied upon to indicate whether or not it generated

0:22:45.400 --> 0:22:48.600
<v Speaker 1>a particular work. Heck, some folks went so far as

0:22:48.640 --> 0:22:52.639
<v Speaker 1>to dig up the professor's own doctoral thesis when he

0:22:52.720 --> 0:22:56.879
<v Speaker 1>was a graduate student and submitted passages to chat GPT

0:22:57.000 --> 0:23:01.240
<v Speaker 1>and asked if it wrote the professor's and chat GPT

0:23:01.440 --> 0:23:04.879
<v Speaker 1>essentially said, huh, yeah, I might have written this. Now.

0:23:05.520 --> 0:23:08.520
<v Speaker 1>As I said, Rolling Stone has a pretty snarky article

0:23:08.920 --> 0:23:11.479
<v Speaker 1>that throws massive shade of the professor for this, and

0:23:11.520 --> 0:23:14.240
<v Speaker 1>I get it. Holding up a person's diploma through the

0:23:14.280 --> 0:23:18.040
<v Speaker 1>misapplication of technology is a big deal. But on the

0:23:18.040 --> 0:23:21.480
<v Speaker 1>flip side, and at least a little bit in the

0:23:21.520 --> 0:23:26.600
<v Speaker 1>professor's defense, the discussion around chat GPT and education has

0:23:26.640 --> 0:23:31.280
<v Speaker 1>been so dramatic and so disruptive over the past several

0:23:31.280 --> 0:23:35.320
<v Speaker 1>months that I think it's it's natural for educators to

0:23:35.440 --> 0:23:39.840
<v Speaker 1>be concerned that students are passing off AI generated work

0:23:40.040 --> 0:23:43.720
<v Speaker 1>as their own work. That is an understandable concern. The

0:23:43.800 --> 0:23:48.200
<v Speaker 1>problem is you can't trust the robots to claim authorship

0:23:48.440 --> 0:23:51.119
<v Speaker 1>because those rotten watsits will say they wrote stuff what

0:23:51.280 --> 0:23:54.040
<v Speaker 1>was published one hundred years ago, and clearly that's not

0:23:54.119 --> 0:24:01.200
<v Speaker 1>the case. So yeah, kind of an absurdly comical situation

0:24:01.320 --> 0:24:03.480
<v Speaker 1>here if it weren't for the fact that it also

0:24:03.520 --> 0:24:07.040
<v Speaker 1>means a bunch of students were denied the chance to

0:24:07.240 --> 0:24:11.119
<v Speaker 1>graduate with a diploma, at least temporarily because of this

0:24:11.280 --> 0:24:16.000
<v Speaker 1>incomplete There there are people working towards trying to get

0:24:16.040 --> 0:24:20.720
<v Speaker 1>all this resolved, but as I recorded this, I didn't

0:24:20.720 --> 0:24:24.080
<v Speaker 1>have an update to give about where we are in

0:24:24.119 --> 0:24:27.879
<v Speaker 1>that process. All right, Hey, so you know how AI

0:24:28.040 --> 0:24:31.080
<v Speaker 1>large language models are trained by analyzing tons of data

0:24:31.440 --> 0:24:35.080
<v Speaker 1>through various sources like chat. GPT is built on top

0:24:35.119 --> 0:24:38.440
<v Speaker 1>of a model that crawled through millions and millions of

0:24:38.560 --> 0:24:43.520
<v Speaker 1>web based documents. Well, what if you did that same thing,

0:24:44.240 --> 0:24:48.000
<v Speaker 1>but instead of using the web, you turned to the

0:24:48.080 --> 0:24:52.359
<v Speaker 1>content on the dark Web as your training material. Of course,

0:24:52.400 --> 0:24:57.439
<v Speaker 1>the dark Web is inaccessible through normal links on the

0:24:57.480 --> 0:25:00.879
<v Speaker 1>World Wide Web. You typically get to the dark web

0:25:01.440 --> 0:25:06.399
<v Speaker 1>by using special types of browsers that allow you to

0:25:06.480 --> 0:25:09.800
<v Speaker 1>access these sorts of things, and you can encounter all

0:25:09.840 --> 0:25:14.399
<v Speaker 1>sorts of stuff, like you know, hacker communities that post

0:25:14.520 --> 0:25:18.239
<v Speaker 1>malware so that you can take it and tweak it

0:25:18.600 --> 0:25:22.880
<v Speaker 1>and deploy it. You know, obviously stolen information is bought

0:25:22.920 --> 0:25:26.560
<v Speaker 1>and sold on the dark web. Well, I would say,

0:25:27.119 --> 0:25:31.160
<v Speaker 1>don't do that. Don't train AI on dark web material,

0:25:31.280 --> 0:25:33.760
<v Speaker 1>not because I think it's going to create dangerous AI,

0:25:34.400 --> 0:25:37.199
<v Speaker 1>but because someone already beats you to it. Some researchers

0:25:37.200 --> 0:25:40.120
<v Speaker 1>in South Korea introduced an AI system that they call

0:25:40.640 --> 0:25:46.040
<v Speaker 1>dark BURT, and they trained it on information exclusively from

0:25:46.160 --> 0:25:49.919
<v Speaker 1>the dark web. So BERT in this case actually stands

0:25:49.960 --> 0:25:56.480
<v Speaker 1>for bi directional Encoder Representations from transformers, and it was

0:25:56.520 --> 0:26:00.919
<v Speaker 1>originally created by Google back in twenty eighteen. BURT, that is,

0:26:01.040 --> 0:26:05.280
<v Speaker 1>was created by Google, and then Meta researchers took BERT

0:26:05.440 --> 0:26:09.480
<v Speaker 1>and they continued to evolve it. They began to tweak it,

0:26:09.720 --> 0:26:13.240
<v Speaker 1>change it a little bit, and they turned it into

0:26:13.359 --> 0:26:18.480
<v Speaker 1>a new AI system called ROBERTA cute right by the way,

0:26:18.480 --> 0:26:20.560
<v Speaker 1>This was back when Meta was still just Facebook, but

0:26:20.640 --> 0:26:25.720
<v Speaker 1>of course today it's Meta. Roberta then provided the foundation

0:26:25.880 --> 0:26:29.879
<v Speaker 1>for these South Korean researchers. They took that framework, but

0:26:30.000 --> 0:26:33.159
<v Speaker 1>they trained it on information on the dark web, and

0:26:33.240 --> 0:26:37.960
<v Speaker 1>thus we get dark Bert. Apparently, they say it worked

0:26:38.000 --> 0:26:42.199
<v Speaker 1>really well, like surprisingly well, and that tools built on

0:26:42.320 --> 0:26:46.240
<v Speaker 1>top of this aimodel perform at least as well, if

0:26:46.280 --> 0:26:49.479
<v Speaker 1>not better than other AI tools. So for example, if

0:26:49.480 --> 0:26:53.080
<v Speaker 1>you were to create an AI chatbot based on this model,

0:26:53.880 --> 0:26:59.080
<v Speaker 1>it might end up being as impressive as chat GPT.

0:27:00.200 --> 0:27:04.399
<v Speaker 1>That being said, they are not going to unleash dark

0:27:04.520 --> 0:27:07.560
<v Speaker 1>Burt on the general public. They're going to keep it

0:27:07.680 --> 0:27:11.240
<v Speaker 1>under wraps. They are going to allow academic researchers access

0:27:11.320 --> 0:27:17.639
<v Speaker 1>to it, so there can be academic applications to try

0:27:17.640 --> 0:27:21.040
<v Speaker 1>the tool out, test it out, and to develop different techniques.

0:27:21.440 --> 0:27:25.000
<v Speaker 1>It may be used also in ways to get a

0:27:25.040 --> 0:27:28.840
<v Speaker 1>better understanding of how the dark web works from kind

0:27:28.880 --> 0:27:33.119
<v Speaker 1>of a architectural approach as that, which that could be

0:27:33.160 --> 0:27:39.280
<v Speaker 1>really useful and everything from cybersecurity to government investigations. So

0:27:39.800 --> 0:27:42.520
<v Speaker 1>it is important. But I just wanted y'all to know

0:27:42.680 --> 0:27:47.159
<v Speaker 1>that it's not like an even more evil version of

0:27:47.240 --> 0:27:49.920
<v Speaker 1>chad GPT is going to be running on the loose

0:27:49.960 --> 0:27:52.440
<v Speaker 1>out there. Okay, We're going to take another quick break

0:27:52.480 --> 0:27:56.320
<v Speaker 1>when we come back. I've got a few final stories

0:27:56.359 --> 0:28:09.280
<v Speaker 1>to cover for this week, all right. So, the Pew

0:28:09.400 --> 0:28:13.160
<v Speaker 1>Research Center, which has done lots and lots of surveys

0:28:13.320 --> 0:28:16.840
<v Speaker 1>about various things connected to technology in general and the

0:28:16.840 --> 0:28:21.960
<v Speaker 1>Internet in particular, recently held a survey that found six

0:28:22.160 --> 0:28:26.920
<v Speaker 1>out of ten respondents, so sixty percent of their respondents,

0:28:26.920 --> 0:28:30.080
<v Speaker 1>indicated that they've taken a bit of a break from

0:28:30.119 --> 0:28:34.480
<v Speaker 1>Twitter since Elon Musk took over. I don't know how

0:28:34.480 --> 0:28:38.160
<v Speaker 1>many people were actually involved in this survey, I just

0:28:38.240 --> 0:28:41.600
<v Speaker 1>know that around sixty percent of them said that this

0:28:41.760 --> 0:28:43.800
<v Speaker 1>was the case. So forty percent said they had not

0:28:43.880 --> 0:28:47.720
<v Speaker 1>taken a break, sixty percent said they had, and those

0:28:47.760 --> 0:28:52.000
<v Speaker 1>breaks ranged from like a couple of weeks to essentially

0:28:52.120 --> 0:28:56.320
<v Speaker 1>leaving the platform since Musk took over. People of color

0:28:56.440 --> 0:28:59.600
<v Speaker 1>were more likely to say that they had taken a

0:28:59.640 --> 0:29:05.400
<v Speaker 1>break than white users were, But interestingly, other major factors

0:29:05.960 --> 0:29:10.640
<v Speaker 1>didn't seem to show as much of a difference. So,

0:29:10.800 --> 0:29:15.840
<v Speaker 1>for example, there was very little difference found between people

0:29:15.840 --> 0:29:20.920
<v Speaker 1>who leaned conservative versus people who leaned liberal. That both

0:29:20.960 --> 0:29:24.920
<v Speaker 1>conservatives and liberals indicated that about sixty percent of them

0:29:25.000 --> 0:29:29.360
<v Speaker 1>had taken a break from Twitter recently, and things got

0:29:29.400 --> 0:29:31.320
<v Speaker 1>a little more complicated when you started to break it

0:29:31.360 --> 0:29:36.160
<v Speaker 1>down by gender, also within political leaning. But I'm not

0:29:36.240 --> 0:29:38.600
<v Speaker 1>going to dive into all of that because it would

0:29:38.600 --> 0:29:41.240
<v Speaker 1>take up too much time, and honestly, I don't know

0:29:41.240 --> 0:29:44.720
<v Speaker 1>what conclusions you could draw from it either, other than

0:29:45.120 --> 0:29:49.520
<v Speaker 1>one really big takeaway, which is if that survey is

0:29:49.640 --> 0:29:52.880
<v Speaker 1>reflective of a larger trend, which is a big if

0:29:52.960 --> 0:29:55.680
<v Speaker 1>you never know, Like if the survey size was really small,

0:29:55.760 --> 0:29:59.920
<v Speaker 1>then you can't really make any big predictions based on

0:30:00.080 --> 0:30:04.240
<v Speaker 1>off that. But if it's a representative survey and if

0:30:04.520 --> 0:30:07.880
<v Speaker 1>the findings are true, it could mean that Twitter's new

0:30:08.000 --> 0:30:10.600
<v Speaker 1>CEO is going to have a lot of challenging work

0:30:10.680 --> 0:30:13.880
<v Speaker 1>ahead of her to pull Twitter out of the doldrums,

0:30:14.120 --> 0:30:18.800
<v Speaker 1>because it's not enough to tell advertisers we value you

0:30:18.880 --> 0:30:21.239
<v Speaker 1>and we want you back on the platform, because you know,

0:30:21.440 --> 0:30:25.040
<v Speaker 1>famously Twitter has lost a lot of ad revenue since

0:30:25.120 --> 0:30:28.800
<v Speaker 1>Musk took over. They also have to show that their

0:30:28.840 --> 0:30:31.320
<v Speaker 1>platform is a place where users want to be. And

0:30:31.400 --> 0:30:35.280
<v Speaker 1>if advertisers are seeing reports that sixty percent of Twitter

0:30:35.360 --> 0:30:39.720
<v Speaker 1>users are kind of jumping ship, that's not a great

0:30:39.760 --> 0:30:42.120
<v Speaker 1>selling point for them to come back to the platform

0:30:42.360 --> 0:30:45.120
<v Speaker 1>because they're just not you know, the people aren't there anymore,

0:30:45.280 --> 0:30:48.520
<v Speaker 1>so why would you spend money to advertise there. So yeah,

0:30:48.600 --> 0:30:51.960
<v Speaker 1>I think that this is bad news for Twitter overall

0:30:52.040 --> 0:30:57.360
<v Speaker 1>if in fact the survey is delivering dependable information, and

0:30:57.440 --> 0:30:59.560
<v Speaker 1>again that's a big if. It would need I think

0:30:59.760 --> 0:31:05.240
<v Speaker 1>for their investigation to make sure that that's actually what's happening. Hey,

0:31:05.640 --> 0:31:09.640
<v Speaker 1>do you remember Elizabeth Holmes. She's the disgraced founder of

0:31:09.680 --> 0:31:14.120
<v Speaker 1>the medical tech company Farrhanose. So if you don't remember her,

0:31:14.160 --> 0:31:17.600
<v Speaker 1>here's a very quick overview of who she is and

0:31:17.600 --> 0:31:21.280
<v Speaker 1>what she did. So Holmes dropped out of Stanford and

0:31:21.440 --> 0:31:24.600
<v Speaker 1>went on to found a company whose aim was to

0:31:24.640 --> 0:31:29.640
<v Speaker 1>create a medical device capable of testing a micro drop

0:31:29.800 --> 0:31:33.960
<v Speaker 1>of blood for more than one hundred different medical conditions

0:31:34.040 --> 0:31:37.760
<v Speaker 1>and diseases. So with a teeny tiny pinprick, you would,

0:31:37.760 --> 0:31:41.600
<v Speaker 1>in theory, be able to submit that sample to this device,

0:31:41.640 --> 0:31:45.000
<v Speaker 1>which theoretically would be small enough to be like a

0:31:45.000 --> 0:31:49.600
<v Speaker 1>desktop printer, and run banks of tests on it to

0:31:49.760 --> 0:31:53.880
<v Speaker 1>determine if you are at risk for any particular medical conditions.

0:31:54.440 --> 0:31:56.960
<v Speaker 1>And Theranos received a lot of positive press in the

0:31:57.000 --> 0:31:59.520
<v Speaker 1>early days, Like they were talking about it as the

0:31:59.560 --> 0:32:07.360
<v Speaker 1>democratization of medicine and making medicine and proactive health care

0:32:07.720 --> 0:32:11.600
<v Speaker 1>far more accessible and democratized. And there were heavy hitter

0:32:11.680 --> 0:32:16.400
<v Speaker 1>investors who poured hundreds of millions of dollars into the

0:32:16.440 --> 0:32:20.520
<v Speaker 1>fledgling startup. But then a few years later an expose

0:32:20.760 --> 0:32:24.800
<v Speaker 1>revealed that things were pretty shady behind the scenes at Theranose.

0:32:25.480 --> 0:32:29.840
<v Speaker 1>The expose claimed that advancements in Theranose technology did not

0:32:30.040 --> 0:32:33.200
<v Speaker 1>stand up to scrutiny, that the company was making claims

0:32:33.360 --> 0:32:36.480
<v Speaker 1>it could not back up, that it was outright misleading

0:32:36.520 --> 0:32:43.760
<v Speaker 1>investors regarding technological process and relying on various competitor technologies

0:32:43.800 --> 0:32:46.760
<v Speaker 1>to make it look like thereonos tech was working. So

0:32:48.200 --> 0:32:51.760
<v Speaker 1>charges of fraud and other things were brought against Homes

0:32:51.960 --> 0:32:56.000
<v Speaker 1>and some other folks at Thernose, and Holmes was ultimately

0:32:56.120 --> 0:33:00.080
<v Speaker 1>found guilty of at least some of those charges, and

0:33:00.160 --> 0:33:04.760
<v Speaker 1>she was headed to prison when she decided to petition

0:33:04.840 --> 0:33:08.760
<v Speaker 1>the court to ask to allow her to remain free

0:33:09.320 --> 0:33:12.120
<v Speaker 1>while she challenges the conviction. She's attempting to have her

0:33:12.160 --> 0:33:15.800
<v Speaker 1>conviction overturned, and she said in the process she would

0:33:15.840 --> 0:33:18.880
<v Speaker 1>very much like to not be in prison, please, And

0:33:18.920 --> 0:33:22.400
<v Speaker 1>the judge said nah, naw, you're going to the pokey.

0:33:23.080 --> 0:33:27.360
<v Speaker 1>So now Holmes appears likely to be headed to prison

0:33:27.440 --> 0:33:29.520
<v Speaker 1>in a couple of weeks. And on top of that,

0:33:29.560 --> 0:33:31.960
<v Speaker 1>the judge has also levied a four hundred and fifty

0:33:32.000 --> 0:33:36.520
<v Speaker 1>two million dollar judgment in restitutions that Holmes is supposed

0:33:36.560 --> 0:33:39.440
<v Speaker 1>to pay the various victims of her crimes. And when

0:33:39.440 --> 0:33:43.400
<v Speaker 1>I say victims, keep in mind, I'm mostly talking about

0:33:43.480 --> 0:33:47.560
<v Speaker 1>really rich people who put money into her company. I'm

0:33:47.600 --> 0:33:51.040
<v Speaker 1>not talking about necessarily the folks who are depending upon

0:33:51.160 --> 0:33:57.360
<v Speaker 1>Therahnose to deliver reliable medical information so that they could

0:33:57.360 --> 0:34:00.080
<v Speaker 1>make the right decisions regarding their health care. No, so

0:34:00.360 --> 0:34:03.800
<v Speaker 1>those aren't the victims that the court's particularly concerned about.

0:34:04.080 --> 0:34:08.040
<v Speaker 1>They're concerned more about, you know, Rupert Murdoch, who's obviously

0:34:08.080 --> 0:34:11.720
<v Speaker 1>really hurting for cash. Anyway, the moral of this story

0:34:11.719 --> 0:34:14.680
<v Speaker 1>should be that the Silicon Valley mantra move fast and

0:34:14.719 --> 0:34:18.160
<v Speaker 1>break things, doesn't you know, apply to breaking the law,

0:34:18.400 --> 0:34:21.760
<v Speaker 1>at least not when it means that rich people lose money, because,

0:34:22.040 --> 0:34:26.720
<v Speaker 1>like I've said many times before, they hate that. Finally,

0:34:27.280 --> 0:34:31.640
<v Speaker 1>Bloomberg's Mark German reports that Apple had to make lots

0:34:31.680 --> 0:34:35.840
<v Speaker 1>and lots of concessions while designing the upcoming mixed reality

0:34:35.880 --> 0:34:39.560
<v Speaker 1>headset that we expect to see unveiled at some point

0:34:39.600 --> 0:34:43.880
<v Speaker 1>this year, possibly at the Worldwide Developer Conference or WWDC

0:34:44.600 --> 0:34:47.920
<v Speaker 1>in June. Now, the fact that Apple made concessions is

0:34:47.920 --> 0:34:51.360
<v Speaker 1>not a surprise. We have heard about this before. I

0:34:51.360 --> 0:34:54.520
<v Speaker 1>think everyone has heard that. The initial hope was Apple

0:34:54.600 --> 0:34:58.399
<v Speaker 1>was going to produce an augmented reality headset that would

0:34:58.480 --> 0:35:04.120
<v Speaker 1>appear indistinguishable from a stylish pair of eyeglasses. However, the

0:35:04.280 --> 0:35:08.160
<v Speaker 1>technical requirements that were needed to achieve the desired performance

0:35:08.760 --> 0:35:12.680
<v Speaker 1>meant it just wasn't plausible for a company to get

0:35:12.840 --> 0:35:15.800
<v Speaker 1>both that and the form factor in one package. You

0:35:15.840 --> 0:35:19.359
<v Speaker 1>could either have a stylish pair of eyeglasses that had

0:35:19.640 --> 0:35:24.200
<v Speaker 1>very limited utility, or you could have a more useful device,

0:35:24.600 --> 0:35:27.439
<v Speaker 1>but it is definitely not going to fit into a

0:35:27.480 --> 0:35:31.080
<v Speaker 1>small form factor. So the heads that we're getting, which

0:35:31.120 --> 0:35:36.319
<v Speaker 1>is reportedly called Apple Reality, will feature a screen that

0:35:36.360 --> 0:35:39.160
<v Speaker 1>will feed live video from external cameras to the viewer.

0:35:39.239 --> 0:35:41.560
<v Speaker 1>So it's kind of like if you're holding your smartphone

0:35:41.640 --> 0:35:45.560
<v Speaker 1>up to your eyes and you've activated your smartphones backward

0:35:45.640 --> 0:35:48.319
<v Speaker 1>facing camera and you're just looking at a live feed

0:35:48.400 --> 0:35:51.399
<v Speaker 1>around you. That's essentially what this is doing. When it's

0:35:51.440 --> 0:35:54.560
<v Speaker 1>working in augmented reality mode, it'll also be able to

0:35:54.600 --> 0:35:59.240
<v Speaker 1>do virtual reality applications. It will connect to a separate

0:35:59.320 --> 0:36:03.160
<v Speaker 1>battery path, so there'll be some sort of a cable,

0:36:03.440 --> 0:36:06.040
<v Speaker 1>I guess attaching the headset to a battery pack that

0:36:06.080 --> 0:36:09.040
<v Speaker 1>you would wear somewhere else, maybe like on a belt

0:36:09.120 --> 0:36:14.120
<v Speaker 1>or in a pocket or something. And reportedly that so

0:36:14.280 --> 0:36:16.840
<v Speaker 1>that it can take some of the weight off the

0:36:16.880 --> 0:36:19.759
<v Speaker 1>headset itself, so that it's a little more comfortable to wear.

0:36:19.760 --> 0:36:23.000
<v Speaker 1>You're not wearing both a screen and a battery pack.

0:36:23.600 --> 0:36:25.759
<v Speaker 1>And also it'll give you a little more juice so

0:36:25.760 --> 0:36:27.879
<v Speaker 1>that you could actually use the darn thing for more

0:36:27.920 --> 0:36:32.480
<v Speaker 1>than like half an hour. Right, So, Apples had to

0:36:32.520 --> 0:36:36.840
<v Speaker 1>make lots of compromises in its quest to build this gadget,

0:36:37.360 --> 0:36:39.960
<v Speaker 1>and I have a feeling that the company is really

0:36:40.000 --> 0:36:44.320
<v Speaker 1>hoping that it becomes similar to the iPhone, right because

0:36:44.320 --> 0:36:47.440
<v Speaker 1>the iPhone was not the first smartphone on the market.

0:36:48.000 --> 0:36:53.160
<v Speaker 1>It was the first smartphone to get massive consumer interest

0:36:53.239 --> 0:36:56.399
<v Speaker 1>and demand. That's what really set the iPhone apart. Now

0:36:56.400 --> 0:36:59.319
<v Speaker 1>that Apple was first, but that Apple was able to

0:36:59.400 --> 0:37:03.720
<v Speaker 1>refine the approach to that gadget and get the general

0:37:03.760 --> 0:37:06.680
<v Speaker 1>public really excited about it. I think they're hoping for

0:37:06.719 --> 0:37:09.839
<v Speaker 1>the same thing with this mixed reality headset, because, as

0:37:09.840 --> 0:37:15.160
<v Speaker 1>we've seen, lots of other companies have introduced mixed reality gadgets,

0:37:15.560 --> 0:37:20.040
<v Speaker 1>but Apple is hoping to kind of define that market

0:37:20.280 --> 0:37:23.440
<v Speaker 1>and not, you know, be the innovator, but the best

0:37:23.480 --> 0:37:29.319
<v Speaker 1>in class. We've also heard that the price of this

0:37:29.360 --> 0:37:32.120
<v Speaker 1>particular technology is likely to be somewhere in the neighborhood

0:37:32.120 --> 0:37:37.239
<v Speaker 1>of three thousand dollars, which yikes, that's super expensive. I

0:37:37.239 --> 0:37:40.600
<v Speaker 1>think even hardcore Apple fans might hesitate before dropping three

0:37:40.800 --> 0:37:43.799
<v Speaker 1>g's on strapping a screen to their face, But then

0:37:43.960 --> 0:37:47.800
<v Speaker 1>I've been wrong about them before, so who knows. Okay,

0:37:47.920 --> 0:37:52.719
<v Speaker 1>that's it for the tech news for today, Thursday May eighteenth,

0:37:52.760 --> 0:37:57.120
<v Speaker 1>twenty twenty three. I hope you are all well, and

0:37:57.160 --> 0:38:07.279
<v Speaker 1>I'll talk to you again really soon. Tech Stuff is

0:38:07.280 --> 0:38:11.840
<v Speaker 1>an iHeartRadio production. For more podcasts from iHeartRadio, visit the

0:38:11.880 --> 0:38:15.520
<v Speaker 1>iHeartRadio app, Apple Podcasts, or wherever you listen to your

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