WEBVTT - Tech News: Spaaaaaace Tacos

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<v Speaker 1>Welcome to tech Stuff, a production from I Heart Radio.

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<v Speaker 1>Hey there, and welcome to tech Stuff. I'm your host,

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<v Speaker 1>Jonathan Strickland. I'm an executive producer with iHeart Radio and

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<v Speaker 1>love all things tech. It's time for the tech News

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<v Speaker 1>for Thursday, November four, twenty one, and we're gonna start

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<v Speaker 1>off with kind of a funny story. So on Tuesday,

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<v Speaker 1>we talked about how Facebook, the company, has adopted the

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<v Speaker 1>name Meta as a rebrand for the overall corporation. So, Facebook,

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<v Speaker 1>the social media platform is just one part of that

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<v Speaker 1>business and it's not changing its name. But now it

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<v Speaker 1>turns out that another company disputes Facebook's right to the

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<v Speaker 1>meta name Meta. PC, a company that's been around for

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<v Speaker 1>around a year, applied for a trademark for the name

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<v Speaker 1>Meta back this past August, which was obviously a couple

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<v Speaker 1>of months before rumors popped up that Facebook was going

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<v Speaker 1>to even rebrand. However, the company has not yet actually

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<v Speaker 1>received a trademark from the trademark office. Assuming there are

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<v Speaker 1>not other conflicts, you would think that the PC company

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<v Speaker 1>would get the trademark due to being what we call

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<v Speaker 1>in the biz firstees. If they do get the trademark, well,

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<v Speaker 1>then Facebook would not be allowed to just adopt the

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<v Speaker 1>name without getting permission first. Now see, Facebook wouldn't have

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<v Speaker 1>necessarily known about this issue because the trademark had not

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<v Speaker 1>yet been registered. So I don't think the company was

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<v Speaker 1>bullishly trying to take over the Meta name from Meta PC.

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<v Speaker 1>I just don't think they even realized Meta pc was

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<v Speaker 1>a thing, uh, And they just probably assumed there were

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<v Speaker 1>no impediments in the way of getting a new name.

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<v Speaker 1>I mean, if if there was no register trademark, then

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<v Speaker 1>it looks like there's no foul, right. But the owners

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<v Speaker 1>of Meta PC, Zack shut and Joe Darger, say they're

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<v Speaker 1>willing to part with the rights to the name of

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<v Speaker 1>Meta for a cool twenty million dollars. And they also

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<v Speaker 1>tweeted a photoshop picture of Mark Zuckerberg holding a Meta

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<v Speaker 1>pc in his hands, and they said that if they

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<v Speaker 1>do sell the name, they'll make sure to pick something

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<v Speaker 1>new that suits their PC company, and maybe they just

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<v Speaker 1>go with the name Facebook. That seems like that's coming up,

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<v Speaker 1>which is, you know, kind of a funny, little like

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<v Speaker 1>tongue in cheek response. Whether this actually goes anywhere largely

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<v Speaker 1>depends upon the trademark office and whether or not they

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<v Speaker 1>allow Meta pc to have Meta registered as a trademark.

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<v Speaker 1>If the Trademark office denies that, well, then Meta pc

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<v Speaker 1>really doesn't have any leverage. However, it would also presumably

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<v Speaker 1>mean that Facebook slash meta would also have issues registering

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<v Speaker 1>the trademark. Otherwise the office is really playing favorites. So

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<v Speaker 1>I'll have to see how this all turns out. And

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<v Speaker 1>now for less whimsical Facebook news, because of course there's

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<v Speaker 1>gonna be some first up Facebook, the social network site

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<v Speaker 1>is giving up on facial recognition technologies, and that's a

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<v Speaker 1>good thing. I mean, we've talked a lot about how

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<v Speaker 1>facial recognition technology is often flawed in its implementation, and

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<v Speaker 1>that frequently we see that the tech tends to work

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<v Speaker 1>pretty well for certain ethnicities and not so great for others.

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<v Speaker 1>Misidentifying people, you know, you get a lot of false positives,

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<v Speaker 1>that kind of thing. And we also know that this

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<v Speaker 1>technology can lead to serious problems, such as certain populations

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<v Speaker 1>being disproportionately harmed by it. You know, if if police

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<v Speaker 1>forces are reliant upon a technology that routinely makes mistakes

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<v Speaker 1>when it comes to identifying people of of certain ethnicities,

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<v Speaker 1>that's a real problem. So Facebook saying no to facial

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<v Speaker 1>recognition algorithms. That's a good thing. What's less good is

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<v Speaker 1>that Meta, the parent company of Facebook, is totally not

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<v Speaker 1>making that same commitment. Meta plans to continue to rely

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<v Speaker 1>on facial recognition technology as it builds out it's metaverse products,

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<v Speaker 1>and I get the feeling that Zuckerberg is really pushing

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<v Speaker 1>for the metaverse stuff to be the future of the company,

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<v Speaker 1>and considering the fact that Facebook is having trouble attracting

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<v Speaker 1>young users, I think that that's kind of all signs

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<v Speaker 1>point that way. So while I'm glad to see Facebook

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<v Speaker 1>move away from facial recognition, I worry that we're really

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<v Speaker 1>just putting that problem on hold. Then again, I have

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<v Speaker 1>no idea how popular this metaverse concept is going to be.

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<v Speaker 1>If the metaverse is dependent upon users having access to

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<v Speaker 1>expensive hardware, it may be that only a subset of

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<v Speaker 1>people will ever really have access to it. Anyway, I

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<v Speaker 1>think it's clear that Facebook slash that doesn't really view

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<v Speaker 1>facial recognition tech as being a problem, or at least

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<v Speaker 1>not a deal breaking one. A Facebook investor named Roger

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<v Speaker 1>mcnammy addressed an audience at the Web Summit event and

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<v Speaker 1>recommended that governments conduct criminal investigations into Facebook, even calling

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<v Speaker 1>for executives to face jail time should they be found

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<v Speaker 1>to be responsible for crimes. Mcnami first invested in Facebook

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<v Speaker 1>around and held onto that stock through to two thousand

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<v Speaker 1>nineteen before he began to start selling it off, and

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<v Speaker 1>he has criticized Facebook multiple times in the past. He

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<v Speaker 1>outlined four areas he believes deserve criminal investigation, and he

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<v Speaker 1>also alluded that he has two others on top of

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<v Speaker 1>those four, bringing the total up to six. And they

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<v Speaker 1>range from business issues like Facebook allegedly failing to disclose

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<v Speaker 1>information to the SEC, even though as a publicly traded company,

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<v Speaker 1>is obligated to do that, but it also goes up

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<v Speaker 1>to charges that Facebook was potentially complicit in the political

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<v Speaker 1>riots that happened on January six, which, holy cow, that's

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<v Speaker 1>January six of this year. I mean, my ability to

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<v Speaker 1>remember dates in my own lifetime is notoriously bad. Like

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<v Speaker 1>I might be like, well, that happened a year ago,

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<v Speaker 1>and it really happened six years ago. But let me

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<v Speaker 1>tell you, the pandemic has made it nearly impossible for

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<v Speaker 1>me to keep things straight anyway. This is more of

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<v Speaker 1>a sign that there's a growing opposition to meta slash

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<v Speaker 1>Facebook on multiple fronts, and we're not done yet. The

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<v Speaker 1>Washington Post reports that in twenty Mark Zuckerberg himself approved

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<v Speaker 1>a request which was more like a demand from the

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<v Speaker 1>government of Vietnam, which wanted Facebook to take down posts

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<v Speaker 1>that were critical of the Communist party in in charge

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<v Speaker 1>in Vietnam. The government said that Facebook, you know, if

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<v Speaker 1>they didn't comply, then the government would for bid Facebook

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<v Speaker 1>and Vietnam and Zuckerberg reportedly caved into the demands and

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<v Speaker 1>authorized the removal of thousands of posts, and the Washington

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<v Speaker 1>Post says that Facebook's response was essentially, you know, when

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<v Speaker 1>asked about this, they said, you know, we did it.

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<v Speaker 1>But if we didn't do it, then Facebook would have

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<v Speaker 1>gone away in Vietnam, and that would have been even

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<v Speaker 1>worse censorship. That would have meant people were cut off

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<v Speaker 1>from a tool that they were depending upon. And that's

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<v Speaker 1>a difficult argument for me. I mean, I get what

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<v Speaker 1>they're saying, but at the same time, this is predicated

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<v Speaker 1>on the idea that Facebook is providing a service. But

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<v Speaker 1>arguably you could say that service is to be a

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<v Speaker 1>pr arm for the Vietnam government, at least as far

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<v Speaker 1>as silencing any dissenting voices so that I don't know.

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<v Speaker 1>That argument doesn't work so well for me. The Washington

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<v Speaker 1>Post also says that the Vietnamese government was effectively using

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<v Speaker 1>Facebook to track down activists and critics of the government,

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<v Speaker 1>claiming that even a post that levied just the tiniest

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<v Speaker 1>amount of criticism towards the Communist Party could result in

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<v Speaker 1>jail time for the user, which is a big Yike's

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<v Speaker 1>let's shift over to Google. The company is once again

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<v Speaker 1>throwing its corporate hat in the ring for defense contracts. Now.

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<v Speaker 1>A few years ago, Google was participating in the development

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<v Speaker 1>of Project Mayven, infected essentially one out a bidding war

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<v Speaker 1>for it, and Project Maven had a lot of controversial

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<v Speaker 1>stuff involved in it, including things that could potentially be

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<v Speaker 1>used in drone programs, and this in turn led Google

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<v Speaker 1>employees to walk out with a protest on Google Uh.

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<v Speaker 1>They didn't really like the idea of their work being

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<v Speaker 1>used to help war efforts. Now Google has bid in

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<v Speaker 1>the Joint Warfighting Cloud Capability can track that the Defense

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<v Speaker 1>Department has has put up. Now, this project is a

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<v Speaker 1>successor to a previously abandoned program, which was the Joint

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<v Speaker 1>Enterprise Defense Infrastructure or JEDI. Now you might remember that

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<v Speaker 1>JEDI saw a bidding war and it really came down

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<v Speaker 1>to between Microsoft and Amazon, and Microsoft ultimately won the

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<v Speaker 1>bid and was selected by the Department of Defense. But

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<v Speaker 1>then Amazon sued based upon this, uh, this particular agreement.

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<v Speaker 1>They challenged the contract and they claimed that then President

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<v Speaker 1>Trump had interfered in the whole process, and because Trump

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<v Speaker 1>had beef with Amazon and Jeff Bezos, Trump effectively scuttled

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<v Speaker 1>Amazon's bid and forced the Defense Department to go with Microsoft. Anyway,

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<v Speaker 1>As a result of all that, that particular project fell through,

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<v Speaker 1>and now Google is competing to win a place at

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<v Speaker 1>the table for the new project. So JEDI was a

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<v Speaker 1>kind of winner takes all approach with one company winning

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<v Speaker 1>the full bid, but the Joint Warfighting project will actually

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<v Speaker 1>see the Defense Department work with multiple companies, so it's

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<v Speaker 1>not you know, winner take all solution. As for what

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<v Speaker 1>Google would do should it become part of this project,

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<v Speaker 1>it sounds like the main components for Google would be

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<v Speaker 1>to provide things like cloud storage and cloud computing services

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<v Speaker 1>and mostly be used in noncombat oriented applications such as developing,

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<v Speaker 1>you know, monitoring the developing situation with the pandemic and

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<v Speaker 1>making uh analysis of that, perhaps predicting where the pandemic

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<v Speaker 1>might develop in the future, as well as things like

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<v Speaker 1>climate change. So stuff that's not directly tied to combat activities,

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<v Speaker 1>at least based upon the initial descriptions. Nowhord yet on

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<v Speaker 1>whether Google employees are fine with this. Earlier this week,

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<v Speaker 1>I talked about a crypto scam that referenced squid game. Well,

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<v Speaker 1>now the Verge reports on a different scam involving cryptocurrency.

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<v Speaker 1>This scam plays on some old fishing tactics, that's fishing

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<v Speaker 1>with a pH And here's how it works. When you

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<v Speaker 1>come into possession of cryptocurrency, you know, whether you earn

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<v Speaker 1>it or you buy some or you're gifted it or whatever,

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<v Speaker 1>that cryptocurrency needs to quote unquote live somewhere. It has

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<v Speaker 1>to be stored somewhere. It's code, but it has to

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<v Speaker 1>have a storage space. So one way to store it

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<v Speaker 1>is in a digital wallet that only the owner has

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<v Speaker 1>access to. So effectively, this is just a piece of software,

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<v Speaker 1>and that software will live on a computer or other device,

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<v Speaker 1>and if you were to lose access to that device,

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<v Speaker 1>you would also lose the digital wallet because it's the

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<v Speaker 1>software that's on that computer. It's it's on that physical device.

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<v Speaker 1>This is why you will occasionally hear those rough stories

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<v Speaker 1>about someone who's no longer able to access a hard

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<v Speaker 1>drive that might have like a hundred bitcoin on it

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<v Speaker 1>or whatever. Anyway, the digital wallet is a way for

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<v Speaker 1>you to hold cryptocurrency so that you can use it

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<v Speaker 1>in transactions. Well, the scam involves creating mock ups of

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<v Speaker 1>well known digital wallet companies, so copying them, uh, you know,

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<v Speaker 1>and these are companies that have a pretty decent reputation

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<v Speaker 1>or at least not a bad reputation, and the scam

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<v Speaker 1>artists make a copy of those sites to make it

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<v Speaker 1>look as realistic as possible, and then they buy out

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<v Speaker 1>ads on Google so that they rank in Google search results.

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<v Speaker 1>So when you search for digital wallet, the ad results

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<v Speaker 1>pop up above everything else. I mean, you know how

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<v Speaker 1>Google searches work. If you search for something, the ad

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<v Speaker 1>supported results are the first things to pop up. So

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<v Speaker 1>on a casual glance, you might just say, oh, I'll

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<v Speaker 1>just pick the first one. I need a digital wallet.

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<v Speaker 1>I'm going to pick the first one that's probably the

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<v Speaker 1>best one. And you wouldn't even know that this was

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<v Speaker 1>a scam that was using the ads in order to

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<v Speaker 1>get this sort of placement. So then you go to

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<v Speaker 1>the scam site and the scammers might try to just

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<v Speaker 1>you know, get as much of your personal information as

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<v Speaker 1>possible and cleaning stuff like your bank account or your

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<v Speaker 1>credit card number, you know, your typical phishing attacks strategy,

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<v Speaker 1>or they might be even more sneaky. They might have

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<v Speaker 1>you go through the process of creating a new digital wallet.

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<v Speaker 1>But instead of actually creating a new wallet, what the

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<v Speaker 1>scammers do is they assign you an existing digital wallet

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<v Speaker 1>that belongs to the scammers, so it looks like it's yours.

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<v Speaker 1>They give you the access to it, but they control

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<v Speaker 1>the wallet. So then you spend some money, you purchase cryptocurrency,

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<v Speaker 1>or you otherwise transfer cryptocurrency that you own into this wallet,

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<v Speaker 1>you are effectively stuffing the scam artist's wallet full of

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<v Speaker 1>your own cash. The scheme works because Google adds acts

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<v Speaker 1>like a shortcut. It's cutting in line. So by creating

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<v Speaker 1>a convincing fake and then buying out ad space, the

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<v Speaker 1>scam artists have their bogus site appear above the real one,

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<v Speaker 1>So security experts recommend that you make sure you scroll

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<v Speaker 1>down below the ad results on Google Search for that

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<v Speaker 1>very reason, because you can't be sure that the advertised

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<v Speaker 1>sites are legit, and Google seems unable or unwilling to

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<v Speaker 1>put in the work to protect consumers, which is pretty

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<v Speaker 1>ugly stuff. We've got more stories to cover after we

0:14:22.040 --> 0:14:33.840
<v Speaker 1>take this quick break. We're back, all right. At the

0:14:34.040 --> 0:14:38.280
<v Speaker 1>cop twenty six Climate Summit, more than forty countries have

0:14:38.360 --> 0:14:43.000
<v Speaker 1>committed to transitioning away from coal fired power plants. Uh,

0:14:43.040 --> 0:14:47.240
<v Speaker 1>the countries that have large economies, large developed economies, they

0:14:47.240 --> 0:14:50.600
<v Speaker 1>plan on making that divide much earlier. They plan to

0:14:50.640 --> 0:14:54.960
<v Speaker 1>get out of coal firing by which is fairly aggressive

0:14:55.360 --> 0:14:59.120
<v Speaker 1>for developing economies. Those countries are looking more at the

0:14:59.160 --> 0:15:02.680
<v Speaker 1>twenty four these, which you know, makes sense because they're

0:15:02.720 --> 0:15:06.280
<v Speaker 1>not in a position to easily transition away as much

0:15:06.320 --> 0:15:09.400
<v Speaker 1>as those that have really big economies. The countries that

0:15:09.760 --> 0:15:15.680
<v Speaker 1>agreed included ones like Vietnam, Indonesia, Ukraine, Canada, Poland, and

0:15:15.720 --> 0:15:19.600
<v Speaker 1>several more, But there were also some really notable absences

0:15:19.680 --> 0:15:23.880
<v Speaker 1>from that list, like the United States, for example, or

0:15:23.960 --> 0:15:28.320
<v Speaker 1>India or China, you know, really big countries that still

0:15:28.320 --> 0:15:32.360
<v Speaker 1>depend heavily on coal powered power plants. So there's still

0:15:32.400 --> 0:15:34.400
<v Speaker 1>a lot of work that needs to be done, and

0:15:34.560 --> 0:15:37.440
<v Speaker 1>unfortunately a lot of that work depends on countries that

0:15:37.560 --> 0:15:40.359
<v Speaker 1>are you know, responsible for a lot of coal consumption,

0:15:40.440 --> 0:15:43.880
<v Speaker 1>but yet not they haven't yet committed to changing that.

0:15:44.520 --> 0:15:47.920
<v Speaker 1>On a related note, many countries and financial institutions agreed

0:15:47.960 --> 0:15:51.760
<v Speaker 1>to end overseas financing for fossil fuel projects, and the

0:15:51.840 --> 0:15:55.440
<v Speaker 1>United States was among those. So the US is saying, yeah,

0:15:55.520 --> 0:16:00.600
<v Speaker 1>we won't, we won't help fund overseas fossil fuel prod jecks,

0:16:00.600 --> 0:16:04.480
<v Speaker 1>but um back off of us on our own home turf.

0:16:04.600 --> 0:16:08.280
<v Speaker 1>I guess. The Australian government has issued a demand to

0:16:08.360 --> 0:16:12.560
<v Speaker 1>clear View AI, famous for its facial recognition database services.

0:16:12.760 --> 0:16:16.120
<v Speaker 1>The company is to destroy all images and facial templates

0:16:16.160 --> 0:16:20.400
<v Speaker 1>related to Australia's citizens because the government has determined that

0:16:20.520 --> 0:16:25.640
<v Speaker 1>clear Views business violates Australia's privacy laws. So for a refresher,

0:16:25.840 --> 0:16:28.440
<v Speaker 1>one way that clear View has built out its massive

0:16:28.600 --> 0:16:33.160
<v Speaker 1>facial recognition databases is that it's scraped social networking sites,

0:16:33.320 --> 0:16:37.160
<v Speaker 1>using programs to collect and analyze images that were publicly

0:16:37.200 --> 0:16:40.840
<v Speaker 1>posted on platforms like Facebook, and they built out databases

0:16:40.920 --> 0:16:43.760
<v Speaker 1>using those images, and that lets clear View train machine

0:16:43.840 --> 0:16:48.160
<v Speaker 1>learning systems to match new images against those databases and

0:16:48.240 --> 0:16:51.280
<v Speaker 1>clear View markets this to governments and police forces around

0:16:51.280 --> 0:16:54.600
<v Speaker 1>the world. Clear View plans to appeal the decision of

0:16:54.600 --> 0:16:58.440
<v Speaker 1>the Australian Court system, saying that the images that it

0:16:58.560 --> 0:17:02.280
<v Speaker 1>uses were published in the United States, since Facebook is

0:17:02.360 --> 0:17:06.800
<v Speaker 1>an American company and therefore Australia doesn't have jurisdiction, and

0:17:06.880 --> 0:17:09.600
<v Speaker 1>the company also claims clear Views claims that because people

0:17:09.640 --> 0:17:13.480
<v Speaker 1>were posting to public profiles, they have no right to privacy,

0:17:13.840 --> 0:17:15.720
<v Speaker 1>which is a big old roof, so we'll have to

0:17:15.760 --> 0:17:19.200
<v Speaker 1>see how that goes. The startup company Too Simple, That's

0:17:19.240 --> 0:17:24.679
<v Speaker 1>tu Simple, which is designing self driving transportation trucks, plans

0:17:24.720 --> 0:17:27.359
<v Speaker 1>to test its autonomous vehicles on the roads without a

0:17:27.440 --> 0:17:31.120
<v Speaker 1>human safety operator before twenty twenty two, which is right

0:17:31.119 --> 0:17:34.359
<v Speaker 1>around the corner, so any day now. The company plans

0:17:34.400 --> 0:17:38.960
<v Speaker 1>to unleash driverless trucks with no safety human operator in

0:17:39.040 --> 0:17:42.240
<v Speaker 1>there for the eighty mile run between the cities of

0:17:42.240 --> 0:17:46.399
<v Speaker 1>Phoenix and Tucson, Arizona. The trucks will travel down public

0:17:46.480 --> 0:17:49.679
<v Speaker 1>roads to do this, so there will be people in

0:17:49.920 --> 0:17:52.600
<v Speaker 1>regular rold cars on the roads at the same time.

0:17:53.359 --> 0:17:56.000
<v Speaker 1>The company has said it plans to conduct multiple runs

0:17:56.000 --> 0:17:59.640
<v Speaker 1>over several weeks to test the technology, and it acknowledges

0:17:59.680 --> 0:18:02.600
<v Speaker 1>that this is a challenging problem. You can design a

0:18:02.640 --> 0:18:06.440
<v Speaker 1>system to handle known scenarios pretty well, but then preparing

0:18:06.440 --> 0:18:09.119
<v Speaker 1>for the unknown is a totally different matter. I'm sure

0:18:09.440 --> 0:18:11.960
<v Speaker 1>a lot of you out there have been in a car,

0:18:12.280 --> 0:18:14.919
<v Speaker 1>you know, traveling in a car when something unexpected happened,

0:18:15.320 --> 0:18:18.040
<v Speaker 1>and that can be a really intense and scary thing

0:18:18.160 --> 0:18:21.840
<v Speaker 1>for humans in many cases. But at least we are

0:18:22.080 --> 0:18:25.840
<v Speaker 1>pretty good at assessing things quickly and making a decision.

0:18:26.080 --> 0:18:28.879
<v Speaker 1>We don't always make the right decision, but you know,

0:18:29.000 --> 0:18:31.560
<v Speaker 1>we can extrapolate a lot of stuff based upon our

0:18:31.640 --> 0:18:35.480
<v Speaker 1>experience and make judgments about what to do. For computer

0:18:35.560 --> 0:18:39.560
<v Speaker 1>systems that encounter something new, there's no experience to draw upon,

0:18:39.680 --> 0:18:42.520
<v Speaker 1>and they're not very good at associative thinking. They can't

0:18:42.560 --> 0:18:45.240
<v Speaker 1>really say, well, I've never seen this, but i've seen

0:18:45.320 --> 0:18:47.520
<v Speaker 1>something like this, and I think this is the right

0:18:47.560 --> 0:18:50.000
<v Speaker 1>way to do it. They're not really they can't really

0:18:50.040 --> 0:18:52.639
<v Speaker 1>do that very well. The machine still has to make

0:18:52.640 --> 0:18:55.159
<v Speaker 1>a decision, and it may not have anything solid to

0:18:55.200 --> 0:18:57.520
<v Speaker 1>guide that decision. So let me give you a very

0:18:57.600 --> 0:19:01.560
<v Speaker 1>simple example. Let's say the vals traveling at night, and

0:19:01.600 --> 0:19:04.560
<v Speaker 1>there's a puddle across the road, and the headlights of

0:19:04.560 --> 0:19:07.320
<v Speaker 1>the vehicle hit the puddle and reflect off of it.

0:19:07.600 --> 0:19:10.199
<v Speaker 1>Now a human would recognize that as a reflection, they

0:19:10.280 --> 0:19:12.399
<v Speaker 1>might slow down so they can go through the puddle

0:19:12.440 --> 0:19:15.840
<v Speaker 1>without like hydroplaning or something. But otherwise they know what

0:19:15.880 --> 0:19:20.080
<v Speaker 1>they're looking at. But a machine could theoretically misinterpret that

0:19:20.160 --> 0:19:23.720
<v Speaker 1>reflection and see it as an obstacle that's in the road,

0:19:24.200 --> 0:19:26.520
<v Speaker 1>so the machine might try to swerve out of the

0:19:26.520 --> 0:19:29.879
<v Speaker 1>way or slam on the brakes. Now that scenario I

0:19:29.960 --> 0:19:32.480
<v Speaker 1>just gave is one that I'm sure all autonomous vehicle

0:19:32.520 --> 0:19:35.639
<v Speaker 1>companies have anticipated and have worked on. That's not like

0:19:35.680 --> 0:19:37.439
<v Speaker 1>it's so out of the ordinary no one would have

0:19:37.440 --> 0:19:41.119
<v Speaker 1>thought of it. I'm sure that's factored in. But my

0:19:41.280 --> 0:19:45.760
<v Speaker 1>point is that machines don't magically no real risk from

0:19:45.840 --> 0:19:48.760
<v Speaker 1>something that isn't a risk at all. That being said,

0:19:48.960 --> 0:19:52.320
<v Speaker 1>too simple is taking this process seriously. The company has

0:19:52.320 --> 0:19:56.359
<v Speaker 1>been limiting the human free tests so far to a

0:19:56.400 --> 0:19:59.920
<v Speaker 1>dedicated track. So so far, anytime they've run a test

0:20:00.040 --> 0:20:02.840
<v Speaker 1>where there has been no human in the truck, they've

0:20:02.840 --> 0:20:05.399
<v Speaker 1>only done it on a dedicated track that doesn't connect

0:20:05.400 --> 0:20:08.720
<v Speaker 1>to public roads, and for the moment, on the public

0:20:08.800 --> 0:20:12.439
<v Speaker 1>road tests, they still have operators writing the route between

0:20:12.440 --> 0:20:15.880
<v Speaker 1>the two cities. And because Too Simple is using this

0:20:16.080 --> 0:20:19.119
<v Speaker 1>established route, like it's not open ended, right, it's not

0:20:19.160 --> 0:20:21.720
<v Speaker 1>saying you're going from here to let's pick a city

0:20:22.040 --> 0:20:25.280
<v Speaker 1>Atlanta and just find the best route. They're not doing that.

0:20:25.560 --> 0:20:28.280
<v Speaker 1>They're saying go from here to here, and this is

0:20:28.320 --> 0:20:31.520
<v Speaker 1>the path that you you should take. That means that

0:20:31.560 --> 0:20:36.679
<v Speaker 1>the company has been limiting the variables, right. They have

0:20:36.840 --> 0:20:43.280
<v Speaker 1>this established route that creates a more knowable course, and

0:20:43.600 --> 0:20:46.000
<v Speaker 1>you can still have things that are unexpected happen, but

0:20:46.080 --> 0:20:49.760
<v Speaker 1>you've cut way back on those variables and it allows

0:20:49.840 --> 0:20:53.640
<v Speaker 1>us to continue to build toward a future where autonomous

0:20:53.920 --> 0:20:58.639
<v Speaker 1>vehicles are a viable solution. So while I have some

0:20:58.760 --> 0:21:01.600
<v Speaker 1>reservations about a top of as trucks, I do think

0:21:01.640 --> 0:21:04.360
<v Speaker 1>that the process Too Simple has laid out is one

0:21:04.400 --> 0:21:09.520
<v Speaker 1>with the appropriate amount of caution and accountability. Okay, geeky

0:21:09.880 --> 0:21:14.720
<v Speaker 1>news alert. The following news item is extremely geeky. A

0:21:14.800 --> 0:21:18.440
<v Speaker 1>startup out of Australia called q Control that's c t

0:21:18.800 --> 0:21:23.280
<v Speaker 1>r L has created an error suppression technique that improves

0:21:23.359 --> 0:21:29.359
<v Speaker 1>quantum algorithms by an astonishing two thousand and yeah, I

0:21:29.400 --> 0:21:33.520
<v Speaker 1>get it like that, that alone is effectively gobbledegook. So

0:21:33.560 --> 0:21:35.680
<v Speaker 1>what the heck do I even mean by this? Let's

0:21:35.720 --> 0:21:39.119
<v Speaker 1>start off with talking about quantum computers. When you boiled

0:21:39.200 --> 0:21:43.080
<v Speaker 1>down computer science with classical computers, you're talking about processing

0:21:43.119 --> 0:21:46.760
<v Speaker 1>information in the form of bits, and a bit is

0:21:46.880 --> 0:21:49.720
<v Speaker 1>a single unit of information it can buy be a

0:21:49.800 --> 0:21:53.119
<v Speaker 1>zero or a one, and a zero is always a

0:21:53.240 --> 0:21:55.560
<v Speaker 1>zero and the one is always a one. So you

0:21:55.600 --> 0:21:57.560
<v Speaker 1>can think of it like a light switch with an

0:21:57.600 --> 0:22:02.719
<v Speaker 1>off and on. But quantum can computers rely on cubits,

0:22:02.760 --> 0:22:06.720
<v Speaker 1>and these under certain conditions, can technically be both a

0:22:06.880 --> 0:22:10.359
<v Speaker 1>zero and a one at the same time, plus all

0:22:10.480 --> 0:22:13.600
<v Speaker 1>values in between. And when you take that and you

0:22:13.680 --> 0:22:17.360
<v Speaker 1>combine it with a properly designed quantum algorithm, you can

0:22:17.400 --> 0:22:22.560
<v Speaker 1>potentially solve a certain subset of computational problems much faster

0:22:22.800 --> 0:22:26.040
<v Speaker 1>than you could if you were to use a classical computer. So,

0:22:26.119 --> 0:22:30.679
<v Speaker 1>for example, let's say I give you a really really

0:22:30.720 --> 0:22:34.600
<v Speaker 1>big number, it's hundreds of digits long, and I tell

0:22:34.680 --> 0:22:39.360
<v Speaker 1>you I created this number by multiplying two prime numbers together.

0:22:40.080 --> 0:22:43.680
<v Speaker 1>Which two prime numbers did I use? Well, then you

0:22:43.680 --> 0:22:46.800
<v Speaker 1>would need to start trying out different prime numbers to

0:22:46.840 --> 0:22:49.720
<v Speaker 1>see if they divide evenly into the big number I

0:22:49.760 --> 0:22:53.760
<v Speaker 1>gave you, and then to make sure that the other

0:22:53.880 --> 0:22:57.960
<v Speaker 1>number that it produced was itself a prime number. And

0:22:58.000 --> 0:23:00.480
<v Speaker 1>you'd be going, Nope, it's not that one. Hope, it's

0:23:00.520 --> 0:23:02.960
<v Speaker 1>not that one. Nope. I mean, it would take you ages,

0:23:03.480 --> 0:23:06.439
<v Speaker 1>potentially centuries to get to the right pair, depending on

0:23:06.480 --> 0:23:08.880
<v Speaker 1>how big the number I was I gave you. And

0:23:09.119 --> 0:23:11.840
<v Speaker 1>and that's how classical computers kind of tackle these problems.

0:23:11.880 --> 0:23:15.080
<v Speaker 1>They sequentially go through all the possible answers to find

0:23:15.080 --> 0:23:18.280
<v Speaker 1>the one that fits, and even a fast computer would

0:23:18.320 --> 0:23:20.679
<v Speaker 1>take a very long time to get to that answer.

0:23:21.280 --> 0:23:25.320
<v Speaker 1>But quantum computers can effectively make all the guesses at

0:23:25.359 --> 0:23:28.880
<v Speaker 1>the same time, assuming one that the computer has enough

0:23:28.960 --> 0:23:32.879
<v Speaker 1>cubits to do this, and to the algorithm you've designed

0:23:33.240 --> 0:23:36.520
<v Speaker 1>that the computer is following works. So all the pieces

0:23:36.560 --> 0:23:38.040
<v Speaker 1>need to be there. It's not just the power of

0:23:38.040 --> 0:23:41.280
<v Speaker 1>the quantum computer. It's also the quality of the algorithm

0:23:41.280 --> 0:23:43.880
<v Speaker 1>you're using to try and solve a problem. But when

0:23:43.920 --> 0:23:46.880
<v Speaker 1>all the pieces are there, the quantum computer will give

0:23:46.920 --> 0:23:49.879
<v Speaker 1>solutions to those problems. I guess I should say we

0:23:49.920 --> 0:23:54.040
<v Speaker 1>typically get solutions with a certain percentage of confidence behind them,

0:23:54.119 --> 0:23:57.159
<v Speaker 1>kind of like, I'm sure this is the right answer.

0:23:57.359 --> 0:23:59.879
<v Speaker 1>So really we get answers in the form of probabilities

0:24:00.440 --> 0:24:04.600
<v Speaker 1>rather than certainties when we're talking about quantum computers. Anyway,

0:24:04.680 --> 0:24:07.440
<v Speaker 1>the startup says it has created a means of suppressing

0:24:07.640 --> 0:24:11.400
<v Speaker 1>errors with quantum algorithms, which theoretically should make it easier

0:24:11.440 --> 0:24:16.080
<v Speaker 1>to design quantum algorithms that can take advantage of quantum computing. Now,

0:24:16.119 --> 0:24:20.000
<v Speaker 1>I can't pretend to even have a partial understanding of

0:24:20.160 --> 0:24:23.960
<v Speaker 1>how they achieve this. I mean, the the bits that

0:24:24.000 --> 0:24:28.440
<v Speaker 1>I've told you about quantum computer so far, that's pretty

0:24:28.560 --> 0:24:31.720
<v Speaker 1>much right around my level of understanding of quantum computers.

0:24:31.720 --> 0:24:33.439
<v Speaker 1>It goes a little deeper than that, but not a

0:24:33.480 --> 0:24:36.080
<v Speaker 1>whole lot. Like once you start really getting into things

0:24:36.080 --> 0:24:39.520
<v Speaker 1>like entanglement and superposition, things get a little too wibbly

0:24:39.560 --> 0:24:42.399
<v Speaker 1>wobbly for me to be able to follow properly. But

0:24:42.520 --> 0:24:46.160
<v Speaker 1>this is really cool. It means that quantum computers could

0:24:46.160 --> 0:24:51.960
<v Speaker 1>potentially be used for a larger range of applications as

0:24:52.000 --> 0:24:55.840
<v Speaker 1>we continue to build stronger quantum computers. And I first

0:24:55.840 --> 0:25:00.280
<v Speaker 1>wrote how quantum computers work back when we were talking

0:25:00.280 --> 0:25:03.199
<v Speaker 1>about cubits on the order of like ten cubits for

0:25:03.240 --> 0:25:06.840
<v Speaker 1>our computer, and we're seeing that grow every single year

0:25:07.240 --> 0:25:11.000
<v Speaker 1>to a point where we could potentially do some really

0:25:11.040 --> 0:25:15.080
<v Speaker 1>cool things with quantum computers and tackle some very difficult problems.

0:25:15.160 --> 0:25:18.119
<v Speaker 1>It also, by the way, means that some of the

0:25:18.119 --> 0:25:22.879
<v Speaker 1>principles that are behind modern day encryption will have to

0:25:22.880 --> 0:25:27.560
<v Speaker 1>be completely rethought, because a good quantum computer with a

0:25:27.680 --> 0:25:33.280
<v Speaker 1>solid algorithm could potentially crack encryption at a fraction of

0:25:33.320 --> 0:25:36.840
<v Speaker 1>the time it would take us using classical methods, which

0:25:36.880 --> 0:25:41.760
<v Speaker 1>means that essentially, at that stage, we everyone who has

0:25:41.800 --> 0:25:44.000
<v Speaker 1>access to a quantum computer in one of these algorithms

0:25:44.119 --> 0:25:49.560
<v Speaker 1>effectively has a skeleton key to all encrypted information everywhere. Obviously,

0:25:49.600 --> 0:25:52.200
<v Speaker 1>that will change things dramatically, but we're not there yet.

0:25:52.240 --> 0:25:53.879
<v Speaker 1>But this is the sort of thing that kind of

0:25:53.880 --> 0:25:57.639
<v Speaker 1>sets us on that Pathway. While we're on the world

0:25:57.640 --> 0:25:59.360
<v Speaker 1>of kind of science fiction, I want to talk about

0:25:59.359 --> 0:26:02.200
<v Speaker 1>a story I published in Vice, and the story says

0:26:02.520 --> 0:26:07.240
<v Speaker 1>ethical AI trained on Reddit posts said genocide is okay

0:26:07.359 --> 0:26:10.159
<v Speaker 1>if it makes people happy, and I get it that

0:26:10.240 --> 0:26:13.479
<v Speaker 1>headline grabs your attention. But let's talk about some stuff.

0:26:13.760 --> 0:26:17.000
<v Speaker 1>One method of machine learning involves feeding tons of samples

0:26:17.000 --> 0:26:18.879
<v Speaker 1>to a computer model. We kind of talked about it

0:26:18.920 --> 0:26:21.679
<v Speaker 1>with Clear View AI in this very episode. So the

0:26:21.680 --> 0:26:24.280
<v Speaker 1>computer models job is to sort through the data that's

0:26:24.320 --> 0:26:26.320
<v Speaker 1>being fed to it and then to make some sort

0:26:26.359 --> 0:26:30.000
<v Speaker 1>of decision based upon that data. Now, the example I

0:26:30.000 --> 0:26:32.720
<v Speaker 1>always give is, imagine you've got like ten thousand photos

0:26:32.760 --> 0:26:35.000
<v Speaker 1>and some of those photos have coffee mugs in them

0:26:35.280 --> 0:26:37.520
<v Speaker 1>and some of them don't. And you're trying to teach

0:26:37.560 --> 0:26:40.000
<v Speaker 1>a computer what a coffee mug is, and you're feeding

0:26:40.040 --> 0:26:42.640
<v Speaker 1>these images into it, and it gives you some results,

0:26:42.640 --> 0:26:44.280
<v Speaker 1>and some of the things that says are right and

0:26:44.320 --> 0:26:47.520
<v Speaker 1>some are wrong. Some it misses some coffee mugs and

0:26:47.560 --> 0:26:51.240
<v Speaker 1>misidentifies other things as coffee mugs. So you tweak things,

0:26:51.359 --> 0:26:54.159
<v Speaker 1>You repeat the training, and you do this over and

0:26:54.200 --> 0:26:57.639
<v Speaker 1>over and over again. You might use a sample that

0:26:57.720 --> 0:27:00.639
<v Speaker 1>has millions of data points in it, might run that

0:27:00.680 --> 0:27:03.240
<v Speaker 1>test thousands of times in an effort to refine your

0:27:03.240 --> 0:27:07.600
<v Speaker 1>computer model. Well, no computer magically knows the answer to

0:27:07.680 --> 0:27:10.679
<v Speaker 1>these things. It is this training process that's important. And

0:27:10.720 --> 0:27:13.720
<v Speaker 1>in this case, we're talking about an AI called ask

0:27:13.920 --> 0:27:17.359
<v Speaker 1>Delphi or ask Delphi if you prefer, as in the

0:27:17.359 --> 0:27:21.920
<v Speaker 1>Oracle of Delphi, and you are to ask it ethical

0:27:22.000 --> 0:27:25.160
<v Speaker 1>questions and it gives you answers. Well, again, it has

0:27:25.200 --> 0:27:28.520
<v Speaker 1>to be trained to do this, and it's very easy

0:27:28.640 --> 0:27:32.000
<v Speaker 1>for these kind of models to be trained improperly. So

0:27:32.200 --> 0:27:35.080
<v Speaker 1>I wouldn't be at all surprised by this. This isn't

0:27:35.080 --> 0:27:38.760
<v Speaker 1>a shocking thing to me. It's actually entirely expected, really,

0:27:39.280 --> 0:27:42.159
<v Speaker 1>But I do think that the people who wrote the

0:27:42.240 --> 0:27:44.919
<v Speaker 1>Vice article do make some good points. They do say

0:27:45.200 --> 0:27:49.520
<v Speaker 1>maybe handing ethical judgments to AI is not a great

0:27:49.560 --> 0:27:54.320
<v Speaker 1>idea because an AI is always going to be reliant

0:27:54.359 --> 0:27:58.359
<v Speaker 1>upon the biases that taught that AI in the first place.

0:27:58.920 --> 0:28:01.080
<v Speaker 1>That also means that you probab probably shouldn't use AI

0:28:01.200 --> 0:28:03.600
<v Speaker 1>to be in charge of any system that hinges on

0:28:03.680 --> 0:28:07.560
<v Speaker 1>ethical judgments, which that's a much larger scale. Right. It's

0:28:07.560 --> 0:28:09.800
<v Speaker 1>one thing to ask AI, Hey, is it cool if

0:28:09.840 --> 0:28:13.400
<v Speaker 1>I do this? It's another thing if you're talking about

0:28:13.400 --> 0:28:16.040
<v Speaker 1>a system that, at some point or another needs to

0:28:16.080 --> 0:28:19.880
<v Speaker 1>make a call about whether something is ethical or not. Uh,

0:28:20.359 --> 0:28:22.320
<v Speaker 1>you know that that starts to really bring in a

0:28:22.359 --> 0:28:24.359
<v Speaker 1>lot of questions. I think the headline was just a

0:28:24.400 --> 0:28:27.879
<v Speaker 1>bit sensational, but I think the piece was actually really valuable.

0:28:28.960 --> 0:28:32.919
<v Speaker 1>And finally, Ridley Scott put it best. In space, no

0:28:32.960 --> 0:28:35.560
<v Speaker 1>one can hear you toot, at least I think that's

0:28:35.560 --> 0:28:38.080
<v Speaker 1>how that goes. Also, that's totally not true. If you

0:28:38.120 --> 0:28:40.840
<v Speaker 1>happen to be in a spaceship that's got an atmosphere

0:28:40.840 --> 0:28:42.320
<v Speaker 1>in it and there are other people near you and

0:28:42.360 --> 0:28:45.200
<v Speaker 1>it's not too loud in the environment, they might hear

0:28:45.240 --> 0:28:47.840
<v Speaker 1>you if you start cutting muffins. But I wanted to

0:28:47.880 --> 0:28:51.880
<v Speaker 1>open the segment with that joke because it's about space tacos. Yeah,

0:28:51.960 --> 0:28:56.160
<v Speaker 1>tacos in space. So our final story is that astronauts

0:28:56.160 --> 0:28:59.360
<v Speaker 1>aboard the International Space Station grew a batch of hatch

0:28:59.560 --> 0:29:02.280
<v Speaker 1>chili is as part of their experiments aboard the I

0:29:02.560 --> 0:29:06.200
<v Speaker 1>s S, and on Friday, astronaut Megan MacArthur tweeted that

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<v Speaker 1>she had made tacos using the space grown chilies as

0:29:10.080 --> 0:29:12.800
<v Speaker 1>one of the ingredients. Now, the other components all came

0:29:12.880 --> 0:29:14.960
<v Speaker 1>up from Earth and various launches, so I don't have

0:29:15.000 --> 0:29:18.400
<v Speaker 1>any exciting stories to talk about space beef here, but

0:29:18.480 --> 0:29:21.800
<v Speaker 1>this is really cool. Growing the chilies was an experiment

0:29:21.800 --> 0:29:25.840
<v Speaker 1>all by itself, and astronauts conducted scientific observations before the

0:29:25.920 --> 0:29:29.440
<v Speaker 1>fruits of their labor could become taco ingredients. I just

0:29:29.480 --> 0:29:32.040
<v Speaker 1>thought that was a neat story to end on. And

0:29:32.120 --> 0:29:36.239
<v Speaker 1>that's it for the news for Thursday, November four one.

0:29:36.320 --> 0:29:38.440
<v Speaker 1>If you have suggestions for topics I should cover in

0:29:38.480 --> 0:29:41.600
<v Speaker 1>future episodes of tech Stuff, reach out and let me know.

0:29:41.880 --> 0:29:43.560
<v Speaker 1>The best way to do that is on Twitter. The

0:29:43.560 --> 0:29:47.040
<v Speaker 1>handle for the show is text Stuff hs W and

0:29:47.120 --> 0:29:56.080
<v Speaker 1>I'll talk to you again really soon. Text Stuff is

0:29:56.120 --> 0:29:59.240
<v Speaker 1>an I Heart Radio production. For more podcasts from my

0:29:59.400 --> 0:30:03.000
<v Speaker 1>heart Radio, visit the i heart Radio app, Apple Podcasts,

0:30:03.120 --> 0:30:09.480
<v Speaker 1>or wherever you listen to your favorite shows. H