WEBVTT - Tech News: AI Blunders and a Liquid-Metal Robot

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<v Speaker 1>Welcome to tex Stuff, a production from I Heart Radio.

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<v Speaker 1>He there, and welcome to tech Stuff. I'm your host

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<v Speaker 1>Jonathan Strickland, Diamond executive producer with I Heart Radio, and

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<v Speaker 1>how the tech are you. It's time for the tech

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<v Speaker 1>news for Thursday, January twenty three, and we've got another

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<v Speaker 1>couple of interesting bits of chat GPT, slash open AI,

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<v Speaker 1>slash chat bought news. First up, The Verge reports that

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<v Speaker 1>academic publishing company Springer Nature has updated its policies such

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<v Speaker 1>that a I writing tools like chat GPT cannot be

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<v Speaker 1>credited as an author of a scientific paper. And considering

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<v Speaker 1>the reports of how tools like chat GBT can and

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<v Speaker 1>do get stuff wrong on occasion, not to mention some

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<v Speaker 1>plagiarism issues, we will talk about in justice. Second, all

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<v Speaker 1>of this makes sense. Springer Nature does say that these

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<v Speaker 1>tools can be used in the process of creating ideas

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<v Speaker 1>for research or even assisting in writing, as long as

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<v Speaker 1>the paper is transparent about this, which potentially could even

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<v Speaker 1>mean specifying which bits of the paper were AI generated.

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<v Speaker 1>But ultimately these things cannot be credited as an author,

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<v Speaker 1>and that really does make sense. These tools tend to

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<v Speaker 1>have a lack of transparency and you don't know how

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<v Speaker 1>they get to the point of generating the text they create.

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<v Speaker 1>You also don't get things like citations for references and

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<v Speaker 1>that kind of thing. And so without knowing where the

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<v Speaker 1>author is drawing information from, one you can't be certain

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<v Speaker 1>that the information being presented as reliable, and too, you

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<v Speaker 1>can't be sure that the author's conclusions are valid because

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<v Speaker 1>you don't know where the conclusions were drawn from. It

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<v Speaker 1>sounds like Springer Nature is opti mystic regarding how AI

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<v Speaker 1>can play a part in scientific research and writing, but

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<v Speaker 1>that it's going to take a lot of work to

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<v Speaker 1>foster the positive use of AI, as well as a

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<v Speaker 1>lot of work to prevent the negative use cases. A

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<v Speaker 1>couple of weeks ago, I talked about how the website

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<v Speaker 1>Futurism had uncovered c nets use of AI to write

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<v Speaker 1>articles in the c net Money channel, and you only

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<v Speaker 1>knew about if you clicked on the little dropped down

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<v Speaker 1>that would appear if you highlighted the s net money

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<v Speaker 1>staff byline. Well, futurism keeps coming up with great reporting

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<v Speaker 1>with more updates on that. They have pointed out how

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<v Speaker 1>several of the articles written by this AI included factual

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<v Speaker 1>errors and just as concerning also included examples of plagiarism. Now,

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<v Speaker 1>in some cases, the AI appears to have largely lifted language,

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<v Speaker 1>almost entirely untouched from other sources, including from c net itself.

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<v Speaker 1>As Future is a reporter John Christian puts it, quote,

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<v Speaker 1>a new futurism investigation found extensive evidence that the c

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<v Speaker 1>net ais work has demonstrated deep structural and phrasing similarities

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<v Speaker 1>to articles previously published elsewhere without giving credit. In other words,

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<v Speaker 1>it looks like the butt directly plagiarized the work of

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<v Speaker 1>red Ventures competitors, red Ventures being the owner of Set,

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<v Speaker 1>as well as human writers at bank Rate and even

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<v Speaker 1>Senet itself end quote. And as I mentioned a moment ago,

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<v Speaker 1>these chat bots fail to credit their sources, and so

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<v Speaker 1>it all comes across as the AI is passing work

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<v Speaker 1>off as its own when it's not. And that sort

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<v Speaker 1>of stuff can get you fired or banned from publications.

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<v Speaker 1>So this really is a big problem, particularly when you

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<v Speaker 1>consider that AI in this context is being relied upon

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<v Speaker 1>to generate articles in place of a human being doing

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<v Speaker 1>the writing. So if it turns out your robot is

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<v Speaker 1>copying humans, not only are you denying a person a

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<v Speaker 1>chance to write the article. So you're denying a person

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<v Speaker 1>a job. Your robot is also stealing work from other humans.

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<v Speaker 1>It's kind of like a double dipping of bad AI practices. Now,

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<v Speaker 1>to be fair to see Net and to rend Ventures, UH,

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<v Speaker 1>they've stopped using AI to generate articles, at least for

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<v Speaker 1>the time being. I highly recommend you read the full

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<v Speaker 1>article that's on futurism. It has the title c nets

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<v Speaker 1>AI journalist appears to have committed extensive plagiarism and another

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<v Speaker 1>AI fail news item. You might remember I mentioned a

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<v Speaker 1>couple of weeks ago that Do Not Pay, the company

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<v Speaker 1>that helps normal everyday folks try to do stuff like

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<v Speaker 1>cancel their streaming subscriptions all the way up to getting

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<v Speaker 1>out of parking tickets, that that it was going to

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<v Speaker 1>participate in a court case next month, namely, a person

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<v Speaker 1>who was charged with a traffic citation in California was

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<v Speaker 1>going to wear some glasses equipped with cameras and a

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<v Speaker 1>microphone and wear an earp and then do Not Pay

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<v Speaker 1>as AI assistant would attempt to help the accused defend

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<v Speaker 1>themselves in traffic court. Those plans are now off the

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<v Speaker 1>table because Do Not Pays CEO Joshua Browder says the

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<v Speaker 1>company has scrapped the idea after receiving threats from quote

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<v Speaker 1>multiple state bar associations end quote, and that he and

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<v Speaker 1>the company could stand accused of the unauthorized practice of law,

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<v Speaker 1>which at least in some states can land you in

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<v Speaker 1>the pokey for up to six months. For those not

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<v Speaker 1>familiar with the phrase the pokey, that's that's jail. So

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<v Speaker 1>AI will not be pulling a matlock this February. I'm

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<v Speaker 1>I'm dropping a lot of old people references in this episode.

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<v Speaker 1>Give me a shout if you're if you're picking them up. Meanwhile,

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<v Speaker 1>state bar associations across the United States are evaluating how

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<v Speaker 1>to handle situations like this, which just a year ago

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<v Speaker 1>would have seemed like a silly fantasy. Also, Do not

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<v Speaker 1>Pay was in the news because it offered up a

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<v Speaker 1>million bucks to any all your schedule to argue before

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<v Speaker 1>the Supreme Court, saying all you have to do is

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<v Speaker 1>use an earpiece and it will connect to our AI

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<v Speaker 1>tool and the AI will tell you what to argue

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<v Speaker 1>in front of the court and you'll get a million dollars.

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<v Speaker 1>Most folks seem to portray Browder as the kind of

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<v Speaker 1>executive who likes to get a lot of publicity through

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<v Speaker 1>really splashy stunts, And in this case, it's kind of

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<v Speaker 1>hard for me to dispute that particular portrayal. On Tuesday,

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<v Speaker 1>the New York Stock Exchange had a rough morning. Stock

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<v Speaker 1>prices for normally stable companies began to swing as much

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<v Speaker 1>as twenty in a short amount of time. According to Bloomberg,

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<v Speaker 1>more than two hundred fifty companies were affected. So why

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<v Speaker 1>is this in tech stuff? What was causing these extreme

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<v Speaker 1>stock fluctuations? Was it economic instability? Was it news that

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<v Speaker 1>the doomsday clock is now sitting at ninety seconds? Was

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<v Speaker 1>it fears about how Russia is going to react to

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<v Speaker 1>Germany and the United States sending tanks to Ukraine. No,

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<v Speaker 1>the while morning was due to an n y s

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<v Speaker 1>E employee forgetting to turn off a backup system properly.

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<v Speaker 1>All right, So, clearly, for something as important to the

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<v Speaker 1>global economy as the New York Stock Exchange, that is,

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<v Speaker 1>the n y s E, then a backup is necessary, right.

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<v Speaker 1>There needs to be a way to switch on a

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<v Speaker 1>backup quickly in the event of a failure of the

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<v Speaker 1>primary system or else trading ends up being affected and

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<v Speaker 1>in a worst case scenario, it could prompt a real

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<v Speaker 1>financial crisis. So of course, the n y s E

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<v Speaker 1>has backups, and employees are supposed to check up on

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<v Speaker 1>these backup systems regularly, and typically this involves turning the

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<v Speaker 1>backup on after normal trading hours when the stock exchange

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<v Speaker 1>is closed, then verifying that the system is working the

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<v Speaker 1>way it's supposed to, and then shutting the system down again.

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<v Speaker 1>But on Tuesday, someone failed to do that last step

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<v Speaker 1>of shutting it down again, and when the primary system

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<v Speaker 1>came online, it performed as if it had been going

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<v Speaker 1>for a while, like instead of being the beginning of

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<v Speaker 1>the trading day, it was acting as if it had

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<v Speaker 1>gone down and came back up while the backup was

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<v Speaker 1>in operation. And this through everything into a tizzy because

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<v Speaker 1>there were all these auctions that were supposed to go

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<v Speaker 1>off first thing in the morning, and it kind of

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<v Speaker 1>bypassed all this, and that's why prices started to fluctuate

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<v Speaker 1>like crazy because things were not going the way they

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<v Speaker 1>were supposed to. So then the New York Stock Exchange

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<v Speaker 1>had to spring into action and address this problem. And

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<v Speaker 1>now the n y s E is in the process

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<v Speaker 1>of reversing the trades that happened during the whole confusing process,

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<v Speaker 1>and that's gonna be a pretty expensive fix. So this

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<v Speaker 1>is a case where have you tried turning it off

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<v Speaker 1>and on again? Is the wrong approach. It's just have

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<v Speaker 1>you tried turning it off. Reuter's reports that according to

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<v Speaker 1>Standard Media Index, advertising spend on Twitter was down seventy

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<v Speaker 1>in December two. This was bad news, particularly after the

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<v Speaker 1>rough November, which reportedly saw a fifty five decline in

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<v Speaker 1>ad spending. And if you're ready for another percentage, Twitter

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<v Speaker 1>relies on advertising to make up of its revenue. So

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<v Speaker 1>this is really bad news for Twitter, and there have

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<v Speaker 1>been a lot of factors that could have contributed to

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<v Speaker 1>add money drying up. First up, there's this general global

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<v Speaker 1>economic situation we're all in where companies across the board

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<v Speaker 1>are cutting costs all over the place, which includes ad spend.

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<v Speaker 1>Marketing typically is one of the first areas hit when

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<v Speaker 1>companies want to buckle down and tighten their belts. Then

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<v Speaker 1>there's the concern that Twitter is turning into a more chaotic, toxic,

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<v Speaker 1>and frankly dangerous platform, especially for brands. With Elon Musk's

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<v Speaker 1>rather mercurial leadership style. Leading the way. Musk himself has

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<v Speaker 1>laid a lot of the blame on activist groups lobbying

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<v Speaker 1>companies to pull ad money off Twitter. But keep in mind,

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<v Speaker 1>one of the reasons Musk gave when he was still

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<v Speaker 1>trying to back away from buying Twitter months and months

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<v Speaker 1>and months ago, back in mid two was that he

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<v Speaker 1>saw an economic downturn coming, and that could mean that

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<v Speaker 1>he was already worried about drops in revenue for Twitter. Also,

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<v Speaker 1>Musk recently announced that Twitter would offer a subscription tier

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<v Speaker 1>that would cost a little bit more than the normal subscription,

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<v Speaker 1>but would come with an ad free experience, and that

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<v Speaker 1>he said Twitter already has too many ads on it.

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<v Speaker 1>It's weird that he's saying this while he's also simultaneously

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<v Speaker 1>trying to bring advertisers back on board with Twitter, using

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<v Speaker 1>various incentives to bring them back into the fold. It's

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<v Speaker 1>getting to the point where you really don't know what

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<v Speaker 1>to believe as a user or as an advertiser. Okay,

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<v Speaker 1>while we sort all that out, let's take a quick break.

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<v Speaker 1>We'll be back after these messages. We're back. Next up,

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<v Speaker 1>we've got some stories about censorship and how tech companies

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<v Speaker 1>are reportedly bowing to it, and Apple customers in Hong

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<v Speaker 1>Kong reported that Safari blocked at least for a while

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<v Speaker 1>access to certain sites like get lab last year, and

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<v Speaker 1>apparently this was because Apple has worked with Tencent in China,

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<v Speaker 1>and Tencent has a blacklist of sites that Chinese users

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<v Speaker 1>are not supposed to be able to access, which you know,

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<v Speaker 1>usually these directives come from the government, they're sent to

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<v Speaker 1>these these big companies, and Apple partners with ten Cent

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<v Speaker 1>in order to operate within China, so that's where this

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<v Speaker 1>was apparently coming from. But Hong Kong citizens have enjoyed

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<v Speaker 1>less authoritative oversight in the past, and it appears as

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<v Speaker 1>though ten cents blacklist was now extending to Hong Kong users,

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<v Speaker 1>something that Apple appears to have confirmed at some point

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<v Speaker 1>late last year. And the reason we have to be

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<v Speaker 1>vague about this is that it's not that Apple came

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<v Speaker 1>out and released a statement about this. Rather, Apple at

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<v Speaker 1>some point late in updated it's Safari privacy notice in

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<v Speaker 1>Hong Kong, and it took a while for folks to

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<v Speaker 1>notice that had happened, which is why we're only just

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<v Speaker 1>now hearing about this in the West. Apple has essentially

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<v Speaker 1>refused to comment on this. They Apple has said, you

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<v Speaker 1>know what, you need to go talk to ten Cent.

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<v Speaker 1>It's like ask your mom, Apple saying go talk to

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<v Speaker 1>tensent and tense. It is refusing to comment it on

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<v Speaker 1>it too. So that's where we are with that now.

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<v Speaker 1>On a related note, and in another Twitter story, the

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<v Speaker 1>Intercept reports that Twitter has bowed to political pressure in

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<v Speaker 1>India and is actively blocking links to a BBC documentary

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<v Speaker 1>that accuses India's Prime Minister Narendra Modi of taking a

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<v Speaker 1>prominent role in carrying out Gina side in Gujarat in

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<v Speaker 1>two thousand two. The Indian government has denounced this documentary,

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<v Speaker 1>calling it propaganda and demanding that companies like Twitter and

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<v Speaker 1>YouTube block links to it within India, and several people,

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<v Speaker 1>including actor John Cusack, have reported that their tweets that

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<v Speaker 1>included links to this documentary have been banned and blocked

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<v Speaker 1>in India, and Cusack has actually gone on to say

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<v Speaker 1>that his whole Twitter account is banned in India full stop.

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<v Speaker 1>The Intercept is pretty darn critical of Twitter and of Musk.

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<v Speaker 1>In the article I read this morning, uh, the Intercept

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<v Speaker 1>rather cheekily points out that Musk has been framed as

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<v Speaker 1>a free speech absolutist, and yet here's an example of

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<v Speaker 1>his company cow towing to authoritarian pressure. It's very much

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<v Speaker 1>not a free speech thing, like it's the opposite. It's

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<v Speaker 1>it's it's government censorship. Musk, for his part, says he

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<v Speaker 1>was not even aware of the issue and that all

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<v Speaker 1>his attention has been divided between Twitter, Tesla, and Space Sex,

0:14:00.800 --> 0:14:03.400
<v Speaker 1>which is a pretty dangerous thing for him to even tweet,

0:14:04.040 --> 0:14:06.680
<v Speaker 1>because there are a ton of Tesla investors who have

0:14:06.760 --> 0:14:10.400
<v Speaker 1>been angry about him for that specific reason that his

0:14:10.480 --> 0:14:13.520
<v Speaker 1>attention has been divided, and they've seen Twitter as this

0:14:14.360 --> 0:14:20.720
<v Speaker 1>big diversion that has in in turn caused Tesla to suffer.

0:14:20.800 --> 0:14:23.240
<v Speaker 1>And like if you look at the stock price for Tesla,

0:14:23.600 --> 0:14:27.400
<v Speaker 1>it's been in a rough place for the last year. Anyway,

0:14:27.440 --> 0:14:29.880
<v Speaker 1>it is concerning to see a government be able to

0:14:29.960 --> 0:14:33.600
<v Speaker 1>ban any news that it doesn't like, whether Musk himself

0:14:33.640 --> 0:14:35.640
<v Speaker 1>was aware of the issue or not. And again I

0:14:35.640 --> 0:14:39.120
<v Speaker 1>should also add Google agreed several times in the past

0:14:39.160 --> 0:14:41.760
<v Speaker 1>two demands from India's government to since there certain links

0:14:41.760 --> 0:14:44.600
<v Speaker 1>and videos, So it's not like Twitter is alone here.

0:14:44.960 --> 0:14:50.720
<v Speaker 1>It's one prominent example of a tech company appearing to

0:14:50.840 --> 0:14:56.440
<v Speaker 1>comply with an authoritarian government's demands to sensor materials so

0:14:56.520 --> 0:14:59.680
<v Speaker 1>that citizens aren't able to access it, but it is

0:14:59.720 --> 0:15:03.200
<v Speaker 1>by no means the only one doing it. Last year,

0:15:03.280 --> 0:15:06.920
<v Speaker 1>I mentioned how Bloomberg reported on the Army's experience with

0:15:07.000 --> 0:15:12.240
<v Speaker 1>the Integrated Visual Augmentation System or IVAS, and this is

0:15:12.360 --> 0:15:16.560
<v Speaker 1>essentially it's a militarized and ruggedized version of the Microsoft

0:15:16.600 --> 0:15:22.240
<v Speaker 1>Hollowlens mixed reality headset. It's it's one that specifically developed

0:15:22.280 --> 0:15:25.280
<v Speaker 1>and tuned for the Army, and the Army's goal was

0:15:25.320 --> 0:15:27.720
<v Speaker 1>to work with Microsoft and develop a system that helps

0:15:27.720 --> 0:15:30.920
<v Speaker 1>soldiers be more effective in the field, including support for

0:15:30.960 --> 0:15:35.640
<v Speaker 1>stuff like target acquisition and better marksmanship. But as it

0:15:35.640 --> 0:15:39.600
<v Speaker 1>turns out, soldiers didn't much care for the technology. Reports

0:15:39.600 --> 0:15:43.120
<v Speaker 1>said that soldiers experienced health issues ranging from next train

0:15:43.280 --> 0:15:46.600
<v Speaker 1>to motion sickness, and that they were more accurate and

0:15:46.600 --> 0:15:50.080
<v Speaker 1>efficient when they were relying on their older equipment. So

0:15:50.120 --> 0:15:52.960
<v Speaker 1>a lot of soldiers just opted to not use the

0:15:53.000 --> 0:15:56.200
<v Speaker 1>headset at all. While some of this could be chalked

0:15:56.240 --> 0:15:59.640
<v Speaker 1>up to the adjustment period anyone encounters when they have

0:15:59.720 --> 0:16:03.640
<v Speaker 1>to in corporate new equipment into their their daily tasks,

0:16:04.160 --> 0:16:06.960
<v Speaker 1>the messages seemed to be that ives was performing well

0:16:07.120 --> 0:16:12.000
<v Speaker 1>under expectations. Task and Purpose dot Com published a piece

0:16:12.080 --> 0:16:16.880
<v Speaker 1>earlier this week saying Microsoft still allegedly had plans to

0:16:16.960 --> 0:16:20.440
<v Speaker 1>develop the platform and improve it further and release updates

0:16:20.480 --> 0:16:22.960
<v Speaker 1>to the IVAS platform, and that the Army still intends

0:16:23.000 --> 0:16:27.680
<v Speaker 1>to deploy this very very expensive headset because it had

0:16:27.680 --> 0:16:31.840
<v Speaker 1>already purchased thousands of the things, and each headset, by

0:16:31.880 --> 0:16:37.880
<v Speaker 1>the way, cost the Army forty dollars a piece grand

0:16:37.960 --> 0:16:39.920
<v Speaker 1>for one of these headsets. And I thought the upcoming

0:16:39.960 --> 0:16:42.120
<v Speaker 1>Apple headset was going to be expensive at three K.

0:16:42.720 --> 0:16:45.960
<v Speaker 1>But the Army could be waiting a really long time

0:16:46.200 --> 0:16:50.000
<v Speaker 1>before getting that new and improved Iva's headset. Because one

0:16:50.080 --> 0:16:54.920
<v Speaker 1>area within Microsoft that was hit very, very hard by

0:16:55.000 --> 0:16:59.400
<v Speaker 1>recent layoffs and cutbacks is the mixed reality divisions within

0:16:59.440 --> 0:17:03.520
<v Speaker 1>the company. I said one area. I guess areas would

0:17:03.560 --> 0:17:06.240
<v Speaker 1>be more appropriate, because it's separate departments that we're all

0:17:06.280 --> 0:17:10.160
<v Speaker 1>working within this general field. Gizmoto has an article that's

0:17:10.160 --> 0:17:14.200
<v Speaker 1>titled Microsoft cuts VR staff and leaves questions about its

0:17:14.240 --> 0:17:18.280
<v Speaker 1>metaverse ambitions, written by Kyle Barr, and a lot of

0:17:18.280 --> 0:17:20.600
<v Speaker 1>other outlets have also reported on this as well. It's

0:17:20.640 --> 0:17:23.879
<v Speaker 1>just I relied on Gizmoto as my prime source for

0:17:23.880 --> 0:17:27.919
<v Speaker 1>this particular news item. Essentially, it sounds like the mixed

0:17:27.960 --> 0:17:33.440
<v Speaker 1>reality division inside Microsoft was positively gutted, in some cases

0:17:33.680 --> 0:17:37.320
<v Speaker 1>to the point for all intents and purposes of being eliminated.

0:17:37.960 --> 0:17:41.639
<v Speaker 1>All Space VR, which Microsoft acquired in seventeen, announced it

0:17:41.680 --> 0:17:44.760
<v Speaker 1>will be shutting down in March. The few folks from

0:17:45.040 --> 0:17:47.960
<v Speaker 1>the Alt Space VR team who still are at Microsoft

0:17:48.040 --> 0:17:51.119
<v Speaker 1>are going to be shifted to work for Microsoft Mesh.

0:17:51.280 --> 0:17:54.920
<v Speaker 1>This is Microsoft project to bring VR into its Teams product.

0:17:55.520 --> 0:18:00.560
<v Speaker 1>Other mixed reality departments were either severely downsized or outright jettison.

0:18:01.160 --> 0:18:04.640
<v Speaker 1>It's possible that the Hollow Lens has actually seen its

0:18:04.720 --> 0:18:08.240
<v Speaker 1>final days, and lots of news outlets are suggesting that

0:18:08.280 --> 0:18:12.320
<v Speaker 1>Microsoft maybe pulling back or even abandoning plans to develop

0:18:12.400 --> 0:18:15.080
<v Speaker 1>the Metaverse. And it was going to be a really

0:18:15.119 --> 0:18:19.359
<v Speaker 1>important partner with meta for that particular project. And y'all

0:18:19.400 --> 0:18:22.960
<v Speaker 1>you know, I've been super critical about the hype around Metaverse.

0:18:24.040 --> 0:18:30.840
<v Speaker 1>I still question the usefulness and and uh importance of

0:18:30.880 --> 0:18:33.520
<v Speaker 1>the Metaverse, but I definitely did not want to see

0:18:33.520 --> 0:18:36.080
<v Speaker 1>it all come crashing down like this, especially at the

0:18:36.119 --> 0:18:38.639
<v Speaker 1>expense of people's jobs. I would have much rather have

0:18:38.800 --> 0:18:44.639
<v Speaker 1>seen people get repurposed into other projects that could potentially

0:18:44.680 --> 0:18:48.400
<v Speaker 1>have greater benefit. I really questioned the benefit of the metaverse.

0:18:48.400 --> 0:18:51.560
<v Speaker 1>But yeah, I hate seeing folks getting laid off like this.

0:18:52.320 --> 0:18:54.959
<v Speaker 1>Our next story takes us to New York City and

0:18:55.080 --> 0:18:59.879
<v Speaker 1>Madison Square Gardens, So Masson Square Gardens or MSG, is

0:19:00.119 --> 0:19:02.920
<v Speaker 1>one of the famous venues here in the United States.

0:19:02.920 --> 0:19:05.119
<v Speaker 1>I think of Mass and Square Gardens the same way

0:19:05.160 --> 0:19:07.880
<v Speaker 1>I think of things like the Hollywood Bowl. A lot

0:19:07.880 --> 0:19:11.320
<v Speaker 1>of sporting events and concerts and stuff take place there.

0:19:11.400 --> 0:19:14.320
<v Speaker 1>And whenever I think of Mass and Square Gardens, honestly,

0:19:14.800 --> 0:19:18.280
<v Speaker 1>I just imagined professional rassling, maybe with a couple of

0:19:18.280 --> 0:19:21.439
<v Speaker 1>immortals ready to have a big hold sword fight with

0:19:21.480 --> 0:19:24.400
<v Speaker 1>one another. Give me a shout out if you actually

0:19:24.920 --> 0:19:28.840
<v Speaker 1>understand that reference. But recently, MSG has been in the

0:19:28.840 --> 0:19:34.440
<v Speaker 1>news for a controversial practice, namely using facial recognition technology

0:19:34.560 --> 0:19:38.159
<v Speaker 1>at security checkpoints in order to identify and then deny

0:19:38.600 --> 0:19:43.520
<v Speaker 1>entry to certain folks, namely people who have been identified

0:19:43.560 --> 0:19:46.439
<v Speaker 1>as working for law firms that are currently or have

0:19:46.560 --> 0:19:52.840
<v Speaker 1>previously been involved in lawsuits against MSG Entertainment, even if

0:19:52.880 --> 0:19:56.040
<v Speaker 1>that person had was not an active part of that

0:19:56.119 --> 0:20:00.239
<v Speaker 1>particular lawsuit. In other words, imagine that you show up

0:20:00.680 --> 0:20:04.320
<v Speaker 1>to go see a concert and you get to security

0:20:04.600 --> 0:20:06.840
<v Speaker 1>and you find out at the security checkpoint that you're

0:20:06.880 --> 0:20:11.280
<v Speaker 1>not allowed inside because the owner of the building doesn't

0:20:11.320 --> 0:20:14.920
<v Speaker 1>like the company you work for. That's the only reason. Oh,

0:20:15.000 --> 0:20:17.680
<v Speaker 1>you work for X, Y or Z, you can't come in.

0:20:18.160 --> 0:20:20.880
<v Speaker 1>We don't let you in here. Go home. That would

0:20:20.920 --> 0:20:24.119
<v Speaker 1>really stink, right, and it has New York's Attorney General

0:20:24.200 --> 0:20:28.160
<v Speaker 1>going after MSG Entertainment investigating if the company is violating

0:20:28.200 --> 0:20:31.680
<v Speaker 1>civil and human rights by relying on facial recognition tech

0:20:32.119 --> 0:20:34.600
<v Speaker 1>and denying entry in this way that it could be

0:20:34.680 --> 0:20:38.280
<v Speaker 1>retaliatory and against the law. Even if it turns out

0:20:38.320 --> 0:20:41.960
<v Speaker 1>it's not technically against the law, it sure does sound scummy,

0:20:42.080 --> 0:20:45.120
<v Speaker 1>doesn't it. By the way, Masson Square Gardens, in case

0:20:45.160 --> 0:20:48.359
<v Speaker 1>you were wondering, I look just like Ben Bolan of

0:20:48.400 --> 0:20:51.160
<v Speaker 1>stuff they don't want you to know. Okay, I've got

0:20:51.160 --> 0:20:54.320
<v Speaker 1>a couple more stories to finish up on that are

0:20:54.400 --> 0:20:57.280
<v Speaker 1>kind of cool and science, but we'll get to those

0:20:57.359 --> 0:21:10.560
<v Speaker 1>after this quick break. Okay, let's get all science and

0:21:10.680 --> 0:21:14.720
<v Speaker 1>stuff for our final two news items for today's episode.

0:21:15.440 --> 0:21:19.600
<v Speaker 1>First up is an article from side Tech Daily about

0:21:19.600 --> 0:21:24.040
<v Speaker 1>how research in the Physical Review Research Journal details how

0:21:24.160 --> 0:21:31.040
<v Speaker 1>artificial intelligence is helping the quantum computing discipline. It can

0:21:31.080 --> 0:21:35.920
<v Speaker 1>help maintain coherence within quantum systems. This is something that's

0:21:35.960 --> 0:21:39.879
<v Speaker 1>really tricky and incredibly important in quantum computing, but it

0:21:39.880 --> 0:21:43.600
<v Speaker 1>does require a bit of explanation. So quantum systems are

0:21:43.640 --> 0:21:48.360
<v Speaker 1>incredibly complicated and they are also very delicate. You've probably

0:21:48.400 --> 0:21:54.680
<v Speaker 1>heard about quantum experiments where you are able to get

0:21:55.560 --> 0:21:58.280
<v Speaker 1>really cool results until you observe the system and then

0:21:58.320 --> 0:22:00.679
<v Speaker 1>it all breaks down into one or the other. So

0:22:00.800 --> 0:22:05.080
<v Speaker 1>the classic example is light behaving like a wave and

0:22:05.160 --> 0:22:07.240
<v Speaker 1>a particle at the same time, but when you observe

0:22:07.280 --> 0:22:10.120
<v Speaker 1>the system, it breaks down into one or the other.

0:22:10.320 --> 0:22:12.840
<v Speaker 1>It cannot be both at the same time. Well, you

0:22:12.880 --> 0:22:15.600
<v Speaker 1>observe it because the system is broken down into a

0:22:15.640 --> 0:22:21.520
<v Speaker 1>classical system. Well, Quantum computers can be used to tackle

0:22:21.760 --> 0:22:26.520
<v Speaker 1>problems where there are perhaps thousands of potential solutions and

0:22:26.600 --> 0:22:28.960
<v Speaker 1>the system is trying to determine what is the best

0:22:29.119 --> 0:22:32.080
<v Speaker 1>solution out of all those thousands, and it's essentially doing

0:22:32.119 --> 0:22:36.320
<v Speaker 1>that simultaneously. It's it's essentially solving the problem with every

0:22:36.320 --> 0:22:40.199
<v Speaker 1>potential solution at the same time. However, if the quantum

0:22:40.240 --> 0:22:43.639
<v Speaker 1>system collapses, it can't do that anymore, and it becomes

0:22:43.640 --> 0:22:47.960
<v Speaker 1>a classical system, and it becomes a very underpowered classical system.

0:22:48.080 --> 0:22:51.800
<v Speaker 1>And the killer of it is these quantum systems are

0:22:52.560 --> 0:22:56.080
<v Speaker 1>so delicate. A couple of things can end up causing problems.

0:22:56.119 --> 0:23:00.359
<v Speaker 1>There's this issue called damping, which is when essentially internal

0:23:00.400 --> 0:23:03.439
<v Speaker 1>motion within the system starts to slow down and it

0:23:03.480 --> 0:23:07.679
<v Speaker 1>can potentially come to a standstill. Another is collapse from

0:23:07.800 --> 0:23:12.959
<v Speaker 1>environmental noise. Something external from the system causes the system

0:23:13.000 --> 0:23:18.600
<v Speaker 1>to collapse. So maintaining the quantum system within a quantum

0:23:18.600 --> 0:23:22.320
<v Speaker 1>computer is of vital importance and it's very hard. But

0:23:22.840 --> 0:23:26.320
<v Speaker 1>this research shows that AI can be used to help

0:23:27.000 --> 0:23:30.919
<v Speaker 1>keep the system healthy and it does that through the

0:23:30.920 --> 0:23:36.199
<v Speaker 1>the the judicious use of things like intense light and

0:23:36.400 --> 0:23:40.120
<v Speaker 1>changes in voltage and applying different voltage to the system.

0:23:40.400 --> 0:23:43.240
<v Speaker 1>And it has to be done precisely at just the

0:23:43.320 --> 0:23:46.000
<v Speaker 1>right time and just the right intensity, which is why

0:23:46.080 --> 0:23:49.520
<v Speaker 1>AI is being used to do this. That AI is

0:23:49.680 --> 0:23:56.120
<v Speaker 1>creating the system in which uh, these different effects can

0:23:56.119 --> 0:23:59.560
<v Speaker 1>be applied to the quantum computer to keep it operational,

0:24:00.080 --> 0:24:04.000
<v Speaker 1>which is crazy science fiction kind of stuff to me. Uh,

0:24:04.000 --> 0:24:06.600
<v Speaker 1>And I love that AI can help us make another

0:24:06.760 --> 0:24:11.359
<v Speaker 1>equally fascinating technology more effective through the use of zapping

0:24:11.720 --> 0:24:14.600
<v Speaker 1>that technology at just the right time and just the

0:24:14.720 --> 0:24:18.400
<v Speaker 1>right amount of power. And finally, researchers at the Chinese

0:24:18.440 --> 0:24:21.680
<v Speaker 1>University of Hong Kong have developed a quote unquote robot

0:24:22.320 --> 0:24:28.280
<v Speaker 1>out of a magneto active phase transitional matter or MPTM.

0:24:28.320 --> 0:24:30.520
<v Speaker 1>And that sounds really complex, but when you start to

0:24:30.560 --> 0:24:33.399
<v Speaker 1>break it down, it's actually not that hard to understand.

0:24:34.040 --> 0:24:36.800
<v Speaker 1>It's hard to do, but you can at least understand

0:24:36.840 --> 0:24:39.840
<v Speaker 1>what's going on. So magneto active tells us that this

0:24:39.920 --> 0:24:44.359
<v Speaker 1>material reacts to magnets and magnetic fields. So you can

0:24:44.440 --> 0:24:48.119
<v Speaker 1>conclude from that that this is how controllers can manipulate

0:24:48.160 --> 0:24:51.200
<v Speaker 1>the robot. They can move it around and and move

0:24:51.320 --> 0:24:54.880
<v Speaker 1>and manipulate in various ways using magnets and magnetic fields.

0:24:55.119 --> 0:24:56.840
<v Speaker 1>All right, got it. So it's got some sort of

0:24:56.880 --> 0:25:00.640
<v Speaker 1>magnetic material inside of it, but one of about phase

0:25:00.640 --> 0:25:03.600
<v Speaker 1>transitional matter. What does that mean? Well, it means that

0:25:03.640 --> 0:25:07.120
<v Speaker 1>the matter in question can move between different phases such

0:25:07.160 --> 0:25:10.000
<v Speaker 1>as liquid and solid, and that, in fact is what

0:25:10.040 --> 0:25:13.240
<v Speaker 1>we're talking about in this specific case. So this is

0:25:13.280 --> 0:25:17.320
<v Speaker 1>a robot in air quotes that can go from solid

0:25:17.600 --> 0:25:20.720
<v Speaker 1>to liquid and back to solid again, and it can

0:25:20.760 --> 0:25:26.600
<v Speaker 1>be manipulated by magnets, which is super freaking cool. So

0:25:26.680 --> 0:25:30.560
<v Speaker 1>the researchers relied on gallium. Uh, this is a metal

0:25:30.600 --> 0:25:33.119
<v Speaker 1>that has a very low melting point. Gallium will go

0:25:33.200 --> 0:25:36.000
<v Speaker 1>from solid to liquid at around eighty five and a

0:25:36.000 --> 0:25:40.440
<v Speaker 1>half degrees fahrenheit or just under thirty degrees celsius. Now,

0:25:40.480 --> 0:25:42.720
<v Speaker 1>this means that you can do some really neat stuff

0:25:42.760 --> 0:25:47.040
<v Speaker 1>with gallium because gallium will be solid at room temperature,

0:25:47.640 --> 0:25:50.240
<v Speaker 1>but it will melt if you hold a piece of

0:25:50.280 --> 0:25:52.680
<v Speaker 1>it in your hand because your body temperature is higher

0:25:52.720 --> 0:25:55.919
<v Speaker 1>than eighty five point five. And I've seen lots of

0:25:56.000 --> 0:25:59.320
<v Speaker 1>videos of people playing with gallium where they've used gallium

0:25:59.320 --> 0:26:01.919
<v Speaker 1>and poured liquid gallium into a mold of like a

0:26:01.960 --> 0:26:04.960
<v Speaker 1>spoon for example, and so it looks like a regular

0:26:05.000 --> 0:26:07.480
<v Speaker 1>metal spoon. But then if you were to use it

0:26:07.520 --> 0:26:12.320
<v Speaker 1>to say, stir some hot tea, the spoon would just dissolve.

0:26:12.760 --> 0:26:15.160
<v Speaker 1>It would melt into the You wouldn't want to drink

0:26:15.200 --> 0:26:16.960
<v Speaker 1>that tea. By the way, it is non toxic, but

0:26:17.000 --> 0:26:20.080
<v Speaker 1>you still don't want to be drinking gallium um. But yeah,

0:26:20.080 --> 0:26:23.119
<v Speaker 1>it's it's it's just cool, like a cool special effect

0:26:23.200 --> 0:26:26.200
<v Speaker 1>kind of thing, and it's really trippy to see it

0:26:26.440 --> 0:26:30.080
<v Speaker 1>in video action. It has actually been used in high

0:26:30.080 --> 0:26:35.000
<v Speaker 1>temperature applications for thermometers, for example, instead of mercury. It

0:26:35.080 --> 0:26:38.760
<v Speaker 1>only works if the temperatures you're measuring are above the

0:26:38.800 --> 0:26:42.840
<v Speaker 1>melting point for gallium. But it is really useful because

0:26:42.880 --> 0:26:47.480
<v Speaker 1>it's also non toxic, unlike mercury. The researchers then took

0:26:47.480 --> 0:26:51.560
<v Speaker 1>this gallium, pure gallium, and they doped it with magnetic particles,

0:26:51.560 --> 0:26:57.280
<v Speaker 1>so they essentially implant magnetic particles inside gallium and when

0:26:57.320 --> 0:27:01.920
<v Speaker 1>it solidifies, those magnetic particles are locked in place, and

0:27:02.000 --> 0:27:05.160
<v Speaker 1>so in solid form, it was really easy to manipulate

0:27:05.200 --> 0:27:11.240
<v Speaker 1>the gallium using magnets because those those magnetic particles again,

0:27:11.320 --> 0:27:13.800
<v Speaker 1>they're they're locked where they are, so you can use

0:27:13.800 --> 0:27:16.679
<v Speaker 1>a magnet and just scoot that little solid piece of

0:27:16.680 --> 0:27:20.840
<v Speaker 1>gallium all over the place. When it was in liquid form,

0:27:20.880 --> 0:27:24.200
<v Speaker 1>it was much more difficult to make make the gallium

0:27:24.240 --> 0:27:27.840
<v Speaker 1>move through magnetic force. You could get some movement, but

0:27:28.080 --> 0:27:32.680
<v Speaker 1>it was really tough to do. But the research includes

0:27:32.720 --> 0:27:36.000
<v Speaker 1>a really fun video and the video shows a little figuring.

0:27:36.119 --> 0:27:39.280
<v Speaker 1>Its shaped kind of like a lego minifig and it's

0:27:39.400 --> 0:27:44.760
<v Speaker 1>inside a black plastic cage, and the researchers use a

0:27:44.840 --> 0:27:47.960
<v Speaker 1>magnet to move the figure around inside the cage, so

0:27:48.040 --> 0:27:51.400
<v Speaker 1>the figure paces back and forth and then except it's

0:27:51.400 --> 0:27:53.880
<v Speaker 1>not actually like its legs aren't moving, it's just scooting

0:27:53.880 --> 0:27:57.280
<v Speaker 1>across the surface of the that's on I guess it's

0:27:57.280 --> 0:28:00.240
<v Speaker 1>a table. It's hard to see because it's a really

0:28:00.320 --> 0:28:05.760
<v Speaker 1>closed up video. But then they use magnetic resonance to

0:28:06.040 --> 0:28:09.280
<v Speaker 1>heat the material up, so it went beyond the melting point,

0:28:09.320 --> 0:28:12.600
<v Speaker 1>and so then it turns into this silvery globe and

0:28:12.640 --> 0:28:16.240
<v Speaker 1>it slowly pours out through the bars of the cage

0:28:16.960 --> 0:28:19.840
<v Speaker 1>and then flows into a mold that's in the shape

0:28:19.840 --> 0:28:24.159
<v Speaker 1>of the original robot figure. It cools down and then resolidifies,

0:28:24.200 --> 0:28:27.040
<v Speaker 1>and the boom. We have a very cute recreation of

0:28:27.080 --> 0:28:30.760
<v Speaker 1>a famous scene from Terminator to where the T one

0:28:30.800 --> 0:28:34.000
<v Speaker 1>thousand goes into liquid form and passes through the bars

0:28:34.119 --> 0:28:38.640
<v Speaker 1>of a jail cell. Now, admittedly this is a very

0:28:38.680 --> 0:28:42.760
<v Speaker 1>primitive robot. When it's in solid form, there are no

0:28:42.880 --> 0:28:44.960
<v Speaker 1>real moving parts, there are no circuits, there are no

0:28:45.120 --> 0:28:48.960
<v Speaker 1>processors or anything inside of this thing. It is completely

0:28:49.000 --> 0:28:54.240
<v Speaker 1>manipulated by external forces. Being a physical magnet or something

0:28:54.280 --> 0:28:58.320
<v Speaker 1>generating magnetic fields. And because it has this very low

0:28:58.360 --> 0:29:01.800
<v Speaker 1>melting point, there aren't a lot of practical applications for

0:29:01.840 --> 0:29:06.720
<v Speaker 1>this particular approach to robotics just yet. However, this could

0:29:06.720 --> 0:29:09.200
<v Speaker 1>be the first step to doing some really cool work

0:29:09.440 --> 0:29:12.400
<v Speaker 1>in creating robots that can change form depending upon the

0:29:12.440 --> 0:29:15.400
<v Speaker 1>situation and the need, and that could be useful in

0:29:15.440 --> 0:29:18.840
<v Speaker 1>all sorts of different applications, including medical procedures. So it

0:29:18.960 --> 0:29:21.200
<v Speaker 1>is really neat, but we have to keep in mind

0:29:21.240 --> 0:29:25.160
<v Speaker 1>this is like a demonstration of a concept and that

0:29:25.200 --> 0:29:29.800
<v Speaker 1>we're very far away from having a practical version of

0:29:29.840 --> 0:29:32.200
<v Speaker 1>this that could do useful stuff in the real world.

0:29:32.800 --> 0:29:35.800
<v Speaker 1>Still fun to watch the video though, And that's it

0:29:35.920 --> 0:29:40.720
<v Speaker 1>for this episode. The news for Thursday, January twenty three.

0:29:41.040 --> 0:29:43.840
<v Speaker 1>I hope you are all well. If you have suggestions

0:29:43.880 --> 0:29:46.360
<v Speaker 1>for topics I should cover in future episodes of tech Stuff,

0:29:46.400 --> 0:29:48.000
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0:29:48.000 --> 0:29:50.719
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0:30:17.720 --> 0:30:26.880
<v Speaker 1>to you again really soon. Yeah. Text Stuff is an

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