WEBVTT - Tech News: OpenAI Gets That Cheddar

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<v Speaker 1>Welcome to Tech Stuff, a production from iHeartRadio. Hey there,

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<v Speaker 1>and welcome to tech Stuff. I'm your host Jonathan Strickland.

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<v Speaker 1>I'm an executive producer with iHeart Podcasts and How the

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<v Speaker 1>tech are you. It's time for the tech news for Friday,

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<v Speaker 1>October fourth, twenty twenty four. So this week, California Governor

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<v Speaker 1>Gavin Newsom vetoed a bill that was aimed at putting

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<v Speaker 1>some guardrails up on major AI companies in the state

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<v Speaker 1>of California. Newsom says that he vetoed it because he

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<v Speaker 1>felt the bill was too weak, that it wasn't addressing

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<v Speaker 1>certain elements of AI that he thought were really important,

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<v Speaker 1>and instead was kind of framing it the wrong way. Now,

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<v Speaker 1>tech journalist Casey Newton says in his tech newsletter, which

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<v Speaker 1>is well worth subscribing to, and I have no connection

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<v Speaker 1>to Casey. I just really like his work Anyway, He

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<v Speaker 1>says that most folks he chatted to are not really

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<v Speaker 1>buying Gavin Newsom's explanation for why he vetoed the bill.

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<v Speaker 1>The bill would have mandated safety testing for AI models

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<v Speaker 1>that had cost more than one hundred million dollars to train,

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<v Speaker 1>so that would have covered the major players in the space,

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<v Speaker 1>most of which have been headquartered in California. So Newsom

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<v Speaker 1>has said, well, yeah, I mean these are really big models,

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<v Speaker 1>but what about smaller models that are trained to do

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<v Speaker 1>things that are inherently risky. This has no coverage for them,

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<v Speaker 1>So it does go deeper than that. In addition, the

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<v Speaker 1>bill would have allowed judges to levy punishments for cases

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<v Speaker 1>in which AI was found to have caused harm. You

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<v Speaker 1>might think, well, of course they should be able to

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<v Speaker 1>do that, but until it becomes established law, you can't

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<v Speaker 1>just hand out punishment. If there's no law covering what

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<v Speaker 1>is at least being perceived to be a crime, then

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<v Speaker 1>that's an issue. Ca C. Newton does go on to

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<v Speaker 1>say that in recent months Gavin Newsom, Newsom and Newton

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<v Speaker 1>a little too close anyway, Gavin Newsom has signed eighteen

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<v Speaker 1>other AI bills into law, so that is significant, right, Like, yeah,

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<v Speaker 1>this one he vetoed, but he has signed more than

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<v Speaker 1>a dozen regulations into law. Though some of those laws

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<v Speaker 1>AI companies are going to have like a full year

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<v Speaker 1>grace period before they go into effect because they are

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<v Speaker 1>not going to become actual effective laws until twenty twenty six.

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<v Speaker 1>These new laws carry out that groundwork I was talking about.

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<v Speaker 1>They create the legal pathways for victims to pursue with

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<v Speaker 1>regard to AI related abuse. So, for example, if someone

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<v Speaker 1>were to use AI to generate nude images of you,

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<v Speaker 1>and then they demand money from you, saying, hey, we're

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<v Speaker 1>going to release these pictures and they look real and

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<v Speaker 1>they are of you, and you're naked. So unless you

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<v Speaker 1>pay us, we're going to flood the Internet with these things.

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<v Speaker 1>Well that would now be a crime. And again you

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<v Speaker 1>would think, well, that sounds like that should be a

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<v Speaker 1>crime already it's blackmail, and yes it is, but the

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<v Speaker 1>AI generated element of it, you know, a lawyer could

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<v Speaker 1>have argued, well, this isn't really a picture of you.

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<v Speaker 1>It wasn't taken of you, it's generated by AI. It's

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<v Speaker 1>not really a picture of you, and that creates this

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<v Speaker 1>this wiggle room. So that's what these laws were meant

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<v Speaker 1>to do, is to kind of eliminate those gaps. So

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<v Speaker 1>really it's all about, you know, filling in the blanks

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<v Speaker 1>for stuff that's clearly wrong but until recently wasn't actually

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<v Speaker 1>defined as a criminal act. Amazon got a bit of

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<v Speaker 1>a win in court this week, so the company saw

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<v Speaker 1>a partial dismissal of a lawsuit that the United States

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<v Speaker 1>Federal Trade Commission, or FTC, has brought against it. So

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<v Speaker 1>the heart of the matter is that the FTC has

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<v Speaker 1>claimed Amazon has engaged in anti competitive behaviors in order

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<v Speaker 1>to acquire and hold a dominant position in online marketplaces,

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<v Speaker 1>and Amazon asked for a dismissal of the court case,

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<v Speaker 1>arguing that the FTC did not have sufficient evidence to

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<v Speaker 1>show that the company was actually harming consumers, because I mean,

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<v Speaker 1>that's ultimately what anti competitive stuff is supposed to be about,

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<v Speaker 1>is that the reduction of competition in the market hurts consumers.

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<v Speaker 1>You know, competition is good for consumers. The judge has

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<v Speaker 1>dismissed at least some of the FTC's charges, but not

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<v Speaker 1>all of them, and I don't know which ones because

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<v Speaker 1>the judge issued this as a sealed ruling, so it's

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<v Speaker 1>not public information about which elements of the lawsuit have

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<v Speaker 1>been dismissed and which ones remain. But the judge also

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<v Speaker 1>denied another one of Amazon's requests, which was to combine

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<v Speaker 1>both a trial and the FTC's proposed solution to this

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<v Speaker 1>alleged anti competitive issue in a single case. So the

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<v Speaker 1>judges ruled that that will instead be two separate cases.

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<v Speaker 1>So it suggests to me that there is at least

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<v Speaker 1>a sufficient amount of charges left in the FTC's case

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<v Speaker 1>against Amazon to necessitate that ruling. Right. So, don't know

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<v Speaker 1>how much of the case was dismissed, but Amazon gets

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<v Speaker 1>a little bit of a win there. It was a

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<v Speaker 1>huge week for open Ai this week. So over the

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<v Speaker 1>last few months, I've seen lots of different analysts sort

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<v Speaker 1>of projecting that open ai could find itself out of

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<v Speaker 1>money unless it had another significant round of investments, and

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<v Speaker 1>that round happened this week, and it was indeed significant.

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<v Speaker 1>Open Ai raised around six point six billion with a

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<v Speaker 1>B dollars in investments. About three quarters of a billion

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<v Speaker 1>dollars came from Microsoft, which continues to financially back open

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<v Speaker 1>Ai pretty enthusiastically. Now, this huge influx of cash has

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<v Speaker 1>analysts now valuing open Ai at a staggering one hundred

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<v Speaker 1>and fifty seven billion dollars. Once again, I'm left to

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<v Speaker 1>grapple with a paradoxical situation because here's a company that

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<v Speaker 1>really burns through cash fast. And that's not blaming open Ai.

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<v Speaker 1>I mean I mentioned earlier this week in other tech

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<v Speaker 1>stuff episodes AI R and D is mega expensive. It

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<v Speaker 1>is so expensive to not just do research and development

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<v Speaker 1>and AI, but then to run AI applications. It costs

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<v Speaker 1>a lot of money. And some folks were saying that

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<v Speaker 1>open ai might actually spend itself out of business by

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<v Speaker 1>early next year. But now we turn around and it's

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<v Speaker 1>being valued at one hundred and fifty seven billion buckaroos.

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<v Speaker 1>The finances just don't make sense to me. Like, I

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<v Speaker 1>get that in the in the moment, it's worth a

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<v Speaker 1>huge amount of money. But this is the same company

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<v Speaker 1>that people are saying it's going to spend itself out

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<v Speaker 1>of business, and it's not like anything there has changed, right,

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<v Speaker 1>It's still going to have to spend huge amounts of

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<v Speaker 1>money and it's not going to bring in enough revenue

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<v Speaker 1>to cover the costs. So this will power open ai

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<v Speaker 1>for some foreseeable future, but we're still going to have

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<v Speaker 1>to wait and see if open ai can get to

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<v Speaker 1>a situation where it will generate enough revenue to cover

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<v Speaker 1>the costs of doing business, or if we'll just get

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<v Speaker 1>right back into the situation where at some point open

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<v Speaker 1>ai needs to hold another significant round of investments in

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<v Speaker 1>order to stay going right, it's kind of crazy. On

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<v Speaker 1>top of the funding news, by the way, Reuter's reports

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<v Speaker 1>that open ai also secured a four billion dollar line

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<v Speaker 1>of credit, so on top of the six point six

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<v Speaker 1>billion that was invested into it, it means that it

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<v Speaker 1>has more than ten billion dollars of liquidity to its

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<v Speaker 1>name right now, which is a big old yeah. Ten

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<v Speaker 1>billion dollars now. Again, that doesn't guarantee that open ai

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<v Speaker 1>is going to be able to leverage all this money

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<v Speaker 1>and turn Ai into like a sustainable business that actually

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<v Speaker 1>can you stand on some own. We'll still have to

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<v Speaker 1>see or maybe we'll get to a point where not

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<v Speaker 1>only are they going to need investment, that investment is

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<v Speaker 1>going to go directly to paying off interest on a

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<v Speaker 1>four billion dollar line of credit. Yikes. Meanwhile, over at

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<v Speaker 1>open AI's former headquarters, Elon Musk, a guy who never

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<v Speaker 1>met a grudge he couldn't hold, held an event for

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<v Speaker 1>his own AI startup, which is called x Ai, and

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<v Speaker 1>I would say that it's it's pretty much in character

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<v Speaker 1>for Elon Musk to hold a recruiting event for his

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<v Speaker 1>own AI startup in the open ai original headquarters because

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<v Speaker 1>he got I remember, Musk was a co founder of

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<v Speaker 1>open ai years ago, but he had a massive falling

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<v Speaker 1>out with others in the organization and he bailed. There

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<v Speaker 1>were rumors that he was attempting to essentially take over

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<v Speaker 1>open ai, and when he encountered resistance, he decided he

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<v Speaker 1>would go and make his own AI company. It's one

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<v Speaker 1>of those like Futurama type moments. He has since argued

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<v Speaker 1>that open ai has largely abandoned its initial mission of

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<v Speaker 1>being an open, transparent, non profit organization that's dedicated to

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<v Speaker 1>the safe and responsible development of artificial intelligence. And y'all,

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<v Speaker 1>I do not agree with Elon Musk on many things,

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<v Speaker 1>but I do think that particular criticism is one hundred

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<v Speaker 1>percent on target. I think there's no way to argue

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<v Speaker 1>against that Open ai has certainly transformed dramatically from that

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<v Speaker 1>open and transparent nonprofit organization into very much a for

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<v Speaker 1>profit company that of fuse skates a lot of what

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<v Speaker 1>it works on. Now. That's not to say that I

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<v Speaker 1>think Musk would have done things differently had he actually

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<v Speaker 1>been the one in charge of open ai. I think

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<v Speaker 1>if he had one that struggle, if in fact, there

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<v Speaker 1>was one a few years ago, and if he had

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<v Speaker 1>become the head of open ai, he would either be

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<v Speaker 1>doing something not too different from what open ai is

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<v Speaker 1>doing now, or he would have run the company out

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<v Speaker 1>of business one of the two. And the reason I

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<v Speaker 1>say that is again, AI is really expensive, like it

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<v Speaker 1>just it burns through money so fast because the technology

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<v Speaker 1>you need to run AI applications. First of all, the

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<v Speaker 1>chips are in short supply, so those are expensive, and

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<v Speaker 1>then you have the electricity needs. Those are expensive. It's

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<v Speaker 1>just hard to do. And if you're going to run

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<v Speaker 1>it as nonprofit, it means you do need to have

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<v Speaker 1>that constant influx of cash in order to fund your work.

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<v Speaker 1>And I'm not sure that Elon Musk would have managed

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<v Speaker 1>to do that. So it's not that I'm saying he

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<v Speaker 1>would have mismanaged it, just rather I don't know how

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<v Speaker 1>you get a nonprofit to work anyway. Musk addressed a

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<v Speaker 1>group of engineers at this event to recruit them for XAI.

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<v Speaker 1>At the event, Musk talked about his desire to create

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<v Speaker 1>a quote digital superintelligence that is as benign as possible

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<v Speaker 1>end quote. He also said he thought we'd achieve artificial

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<v Speaker 1>general intelligence within a couple of years. That seems overly

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<v Speaker 1>ambitious to me. But then again, Musk has also frequently

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<v Speaker 1>made some rather grandiose predictions about AI that just haven't

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<v Speaker 1>you know, shaken out, Like specifically in the autonomous car space,

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<v Speaker 1>he has thought that we were going to hit a real,

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<v Speaker 1>true autonomous car future much earlier, and you know, obviously

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<v Speaker 1>we're still not there yet, but he thought it was

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<v Speaker 1>already going to be here, and that has not happened.

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<v Speaker 1>So I would not bank on artificial general intelligence within

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<v Speaker 1>the next couple of years. Maybe. I mean, I don't

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<v Speaker 1>know for sure. I just know that it's a really

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<v Speaker 1>hard goal to hit. He also mentioned the desire to

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<v Speaker 1>create a supersonic passenger aircraft company in the future. That

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<v Speaker 1>probably merits a separate discussion. That's a really tricky thing.

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<v Speaker 1>But yeah, that's what happened with his recruiting event this week. Okay,

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<v Speaker 1>I've got a couple more stories to talk about Before

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<v Speaker 1>I do that, let's take a quick break. We're back.

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<v Speaker 1>So Victoria Song of the Verge has a piece titled

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<v Speaker 1>college students used Meta's smart glasses to docs people in

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<v Speaker 1>real time. Now. As that headline indicates, this is about

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<v Speaker 1>how a pair of students used some ar glasses that

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<v Speaker 1>are outfitted with cameras and Internet connectivity to essentially run

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<v Speaker 1>an app that they had built that relies on things

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<v Speaker 1>like facial recognition and personal idea databases in order to

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<v Speaker 1>return information about the people that are within view of

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<v Speaker 1>the glasses camera. As songwrits, quote, the tech works by

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<v Speaker 1>using the meta smart glasses ability to livestream video to Instagram.

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<v Speaker 1>A computer program then monitors that stream and uses AI

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<v Speaker 1>to identify faces. Those photos are then fed into public

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<v Speaker 1>databases to find names, addresses, phone numbers, and even relatives.

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<v Speaker 1>That information is then fed back through a phone app

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<v Speaker 1>end quote. So the students call their Techi x ray,

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<v Speaker 1>and I'm sure you could immediately imagine how that technology

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<v Speaker 1>could be abused, And in fact, there are very few

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<v Speaker 1>use cases that are benign. Right, And the students have

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<v Speaker 1>stressed they're not releasing this technology. This is not meant

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<v Speaker 1>to be an app that you're going to be able

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<v Speaker 1>to download and then walk around and know everybody's secret identity.

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<v Speaker 1>They recognize how technology is inherently abusable, like it's again

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<v Speaker 1>very hard to use it in a way that isn't

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<v Speaker 1>malicious or at least irresponsible. So just imagine someone wearing

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<v Speaker 1>glasses like these and then pretending to know complete strangers

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<v Speaker 1>because they've got on their phone a quick dossier about

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<v Speaker 1>the person. They've got their name, their address, they have

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<v Speaker 1>relative names, all that kind of stuff. They're able to

0:14:30.680 --> 0:14:33.480
<v Speaker 1>actually reference this. Like I used to do a goofy

0:14:33.680 --> 0:14:37.080
<v Speaker 1>version of this at stores where I would walk in

0:14:37.160 --> 0:14:39.440
<v Speaker 1>and like the employees would have a name tag on,

0:14:39.760 --> 0:14:41.800
<v Speaker 1>and I would just address them by their name tag

0:14:41.960 --> 0:14:44.480
<v Speaker 1>in the store, Like not outside that's creepy, but in

0:14:44.520 --> 0:14:46.840
<v Speaker 1>the store. And sometimes they would forget that they were

0:14:46.840 --> 0:14:48.920
<v Speaker 1>wearing a name tag. They're like, how did you know

0:14:48.960 --> 0:14:50.760
<v Speaker 1>who I We know each other. I'm like, no, you're

0:14:50.800 --> 0:14:53.760
<v Speaker 1>wearing your name literally on your shirt and they say, oh,

0:14:54.000 --> 0:14:56.480
<v Speaker 1>right right. You know, just one of those moments where

0:14:56.520 --> 0:14:59.320
<v Speaker 1>you just you're not even thinking about it. Well, as

0:14:59.600 --> 0:15:02.360
<v Speaker 1>silly a little interaction as that is, you can imagine

0:15:02.400 --> 0:15:05.800
<v Speaker 1>one being much more serious. Let's say it's at a bar.

0:15:06.440 --> 0:15:09.560
<v Speaker 1>You can easily imagine someone trying to prey upon people

0:15:09.600 --> 0:15:12.520
<v Speaker 1>at a bar by pretending like they either know this

0:15:12.600 --> 0:15:16.080
<v Speaker 1>person from way back, or they know someone that knows

0:15:16.120 --> 0:15:20.040
<v Speaker 1>this person, and they're trying to get an end that way.

0:15:20.280 --> 0:15:23.400
<v Speaker 1>So the students say their intent was to raise awareness

0:15:23.440 --> 0:15:27.480
<v Speaker 1>that this capability isn't just some hypothetical future technology. I mean,

0:15:27.560 --> 0:15:30.040
<v Speaker 1>this is something people have been warning about for a while,

0:15:30.120 --> 0:15:33.320
<v Speaker 1>but the students are saying, listen, we're done warning. It's here.

0:15:33.800 --> 0:15:36.520
<v Speaker 1>We did it. It is possible. And if we did it,

0:15:36.560 --> 0:15:39.440
<v Speaker 1>even though we're not gonna do anything with this technology,

0:15:39.800 --> 0:15:41.640
<v Speaker 1>that doesn't mean the next person will do the same.

0:15:42.080 --> 0:15:45.880
<v Speaker 1>So you have to be aware what this technology can do.

0:15:46.200 --> 0:15:49.360
<v Speaker 1>I think it also again goes back to showing how

0:15:49.680 --> 0:15:53.120
<v Speaker 1>terrible a job the United States has done when it

0:15:53.160 --> 0:15:58.680
<v Speaker 1>comes to citizen data privacy. It's criminal, if you ask me,

0:15:58.880 --> 0:16:01.840
<v Speaker 1>because the fact that there have been no real rules

0:16:01.840 --> 0:16:06.200
<v Speaker 1>about this make things like this totally possible and in fact,

0:16:06.480 --> 0:16:09.800
<v Speaker 1>like you could even imagine a much deeper dive for

0:16:09.880 --> 0:16:13.200
<v Speaker 1>this kind of thing, because those databases out there are

0:16:13.320 --> 0:16:18.120
<v Speaker 1>enormous and comprehensive. Even for people who aren't online. If

0:16:18.160 --> 0:16:22.080
<v Speaker 1>they're showing up in pictures that are on friends, you know,

0:16:22.640 --> 0:16:25.560
<v Speaker 1>social profiles or whatever, and they're identified in the photos,

0:16:26.040 --> 0:16:29.040
<v Speaker 1>that's enough. They don't even have to participate directly in

0:16:29.080 --> 0:16:32.600
<v Speaker 1>the system to be abused by it. So yeah, pretty

0:16:33.000 --> 0:16:38.560
<v Speaker 1>sobering example of how technology can interfere with privacy and

0:16:38.560 --> 0:16:42.120
<v Speaker 1>potentially put people at risk. Google is apparently rolling out

0:16:42.120 --> 0:16:46.120
<v Speaker 1>a verification feature on search results. Just Weatherbed also of

0:16:46.120 --> 0:16:49.520
<v Speaker 1>the Verge, reports that some users are getting results back

0:16:49.560 --> 0:16:52.920
<v Speaker 1>that include blue check marks next to certain entries. Those

0:16:53.000 --> 0:16:56.440
<v Speaker 1>check marks indicate sites that Google has verified as being

0:16:56.720 --> 0:16:59.840
<v Speaker 1>a legitimate business. So if you're searching for something, let's

0:16:59.840 --> 0:17:03.120
<v Speaker 1>say like you're searching for I don't know, durable camping equipment,

0:17:03.800 --> 0:17:07.000
<v Speaker 1>when you get your search results back, you are going

0:17:07.040 --> 0:17:09.920
<v Speaker 1>to see if you're part of this anyway, you would

0:17:09.920 --> 0:17:12.080
<v Speaker 1>see that some of the companies that are listed would

0:17:12.080 --> 0:17:15.200
<v Speaker 1>have this blue check mark. Other companies may be ones

0:17:15.240 --> 0:17:18.159
<v Speaker 1>that are trying to pose as if they are a

0:17:18.200 --> 0:17:21.240
<v Speaker 1>more established, reputable company, They're not going to have that

0:17:21.320 --> 0:17:25.160
<v Speaker 1>check mark. So it's an immediate visual indicator of which

0:17:25.280 --> 0:17:29.280
<v Speaker 1>businesses are trustworthy or at least more likely to be trustworthy.

0:17:29.640 --> 0:17:33.120
<v Speaker 1>So it's really all about identifying businesses in this case.

0:17:33.160 --> 0:17:36.320
<v Speaker 1>That's it, not like people or anything like that. And

0:17:36.400 --> 0:17:39.800
<v Speaker 1>it sounds like this initiative is in a very limited rollout.

0:17:39.920 --> 0:17:42.240
<v Speaker 1>Not everyone's going to see check marks in their results,

0:17:42.280 --> 0:17:45.160
<v Speaker 1>and I don't I did quite a few different searches

0:17:45.280 --> 0:17:47.480
<v Speaker 1>just to see if any of these popped up for me,

0:17:47.800 --> 0:17:50.320
<v Speaker 1>But no matter what I searched for, I didn't get

0:17:50.359 --> 0:17:52.960
<v Speaker 1>anything that had check marks on it. So I am

0:17:52.960 --> 0:17:55.320
<v Speaker 1>not part of this rollout, and of course there's no

0:17:55.440 --> 0:17:58.119
<v Speaker 1>guarantee that Google will ever roll it out to the

0:17:58.119 --> 0:18:00.200
<v Speaker 1>general public. It may just be that this is a

0:18:00.280 --> 0:18:02.720
<v Speaker 1>test and nothing else comes of it, but we'll have

0:18:02.720 --> 0:18:05.919
<v Speaker 1>to keep your eyes out. Finally, for some recommended reading,

0:18:05.960 --> 0:18:09.159
<v Speaker 1>I suggest Eric Berger's piece in Ours Tetnica. It is

0:18:09.200 --> 0:18:12.280
<v Speaker 1>titled NASA is working on a plan to replace its

0:18:12.400 --> 0:18:16.720
<v Speaker 1>space station, but time is running out. So the current

0:18:16.880 --> 0:18:19.520
<v Speaker 1>plan for the International Space Station is for it to

0:18:19.520 --> 0:18:22.720
<v Speaker 1>fly into the sunset, or more accurately, for it to

0:18:22.840 --> 0:18:27.440
<v Speaker 1>deorbit in twenty thirty. But unless the pace really picks

0:18:27.520 --> 0:18:30.760
<v Speaker 1>up and soon, that's going to happen without a new

0:18:31.000 --> 0:18:34.080
<v Speaker 1>space station taking its place, that would mean the good

0:18:34.119 --> 0:18:36.560
<v Speaker 1>old US of A would no longer have its own

0:18:36.720 --> 0:18:40.240
<v Speaker 1>research facility in orbit. Complicating matters is the fact that

0:18:40.320 --> 0:18:43.080
<v Speaker 1>NASA also has plans to return to the Moon and

0:18:43.160 --> 0:18:47.080
<v Speaker 1>potentially to set the stage for further human exploration, potentially

0:18:47.160 --> 0:18:50.320
<v Speaker 1>the places like Mars. So I recommend reading Burger's article

0:18:50.400 --> 0:18:53.919
<v Speaker 1>to get a full picture of the situation. That's it

0:18:54.040 --> 0:18:56.720
<v Speaker 1>for this week. I hope all of you out there

0:18:56.840 --> 0:19:00.800
<v Speaker 1>are doing well, and I'll talk to you again really soon.

0:19:06.880 --> 0:19:11.560
<v Speaker 1>Tech Stuff is an iHeartRadio production. For more podcasts from iHeartRadio,

0:19:11.880 --> 0:19:15.600
<v Speaker 1>visit the iHeartRadio app, Apple Podcasts, or wherever you listen

0:19:15.600 --> 0:19:16.679
<v Speaker 1>to your favorite shows.