Speaker 1: You're listening to Bill Handle on demand from KFI AM
Speaker 1: six forty.
Speaker 2: Right here on KFI on a Taco Tuesday, July thirtieth.
Speaker 1: Some of the stories we are covering a.
Speaker 2: Couple of weeks ago, actually a week ago, we talked
Speaker 2: about the Sane River where the mayor jumped in to
Speaker 2: prove that it is safe for the triathlon, which is
Speaker 2: part of it.
Speaker 1: Is swimming in the Seine. Well, the bacteria.
Speaker 2: Count is gotten high enough where they're saying that really
Speaker 2: isn't safe for the triathlon. Well, when they do start it,
Speaker 2: it'll be the quad athlon because they've added a diarrhea
Speaker 2: event right after the swim, and the Mexican team is
Speaker 2: the overriding favorite to win the gold on that one. Now,
Speaker 2: let me talk about the fair plan. What is the
Speaker 2: fair plan. Well, if you have home insurance and you
Speaker 2: can't get insurance, which happened to me at the Persian Palace,
Speaker 2: no insurance, no home insurance, thank you, We're done. And
Speaker 2: that's happening more and more because there are so many
Speaker 2: wildfire areas and now it's all over the state, and
Speaker 2: so insurance companies just say no, thank you, and they've
Speaker 2: gotten out of California. Well, you go to the Fair
Speaker 2: Plan if you can't get insurance, and the Fair Plan
Speaker 2: you pay a lot of money and all.
Speaker 1: You get is fire insurance.
Speaker 2: You don't get comprehensive there's no liability insurance, there is
Speaker 2: no damage coverage.
Speaker 1: It's only fire now.
Speaker 2: It used to be that fire and this is part
Speaker 2: of fire insurance, a part of fire damage. When you
Speaker 2: have a little bit of fire and they're able to
Speaker 2: put it out, for example, your house is saved and
Speaker 2: only a small portion is burnt, Well, let me tell
Speaker 2: you the whole house is ruined because of the smoke damage.
Speaker 2: I mean, I have seen houses that had just a
Speaker 2: kitchen fire and the whole house they had to go
Speaker 2: down to the studs because the smoke went into the walls,
Speaker 2: into the dry wall. And so what happened is smoke
Speaker 2: damage is part of it. Well, let me tell you
Speaker 2: there was a there was a change and since twenty seventeen,
Speaker 2: the Fair Plan began limiting coverage for this standard policy
Speaker 2: that paid for smoke damage only if it was detectable
Speaker 2: to the unaided eye or the nose of an average person.
Speaker 1: It used to be all you had is to test
Speaker 1: for it.
Speaker 2: Requirement and this made us it was hit a certain level,
Speaker 2: but boom, you were covered. Oh no, they changed that
Speaker 2: to where an average person must be able to swell it.
Speaker 1: What the hell does that mean?
Speaker 2: The unaided eye and an average person you know what
Speaker 2: that means.
Speaker 1: They can deny like crazy, and they have denied those
Speaker 1: claims like crazy.
Speaker 2: Well, lawsuit City, that's what's going on right now, class
Speaker 2: action lawsuit saying we were denied coverage.
Speaker 1: We want to change that.
Speaker 2: Now that part isn't asking for money, They just want
Speaker 2: the change the plaintiffs on that one, the part that
Speaker 2: asking for money. Same attorney, by the way, he was
Speaker 2: representing a thousand homeowners, saying that they were denied coverage
Speaker 2: for smoke damage under this new definition because you know what,
Speaker 2: the average person.
Speaker 1: Wouldn't be able to smell it.
Speaker 2: Huh, the average eye sight wouldn't be able to ascertain
Speaker 2: that there was smoke damage.
Speaker 1: Please. And so the lawsuit continues.
Speaker 2: The insurance department, California Insurance Department is saying, yeah, we
Speaker 2: allow that to happen. But what they're doing is helping
Speaker 2: the plaintiffs, saying, the reason we allowed that change is
Speaker 2: because we were given information by the major insurers, and
Speaker 2: it was false and misleading information, and effectively, I don't
Speaker 2: know where.
Speaker 1: These insurance companies are going to go.
Speaker 2: Incidentally, the insurance the Plan, the Fair Plan, is a
Speaker 2: group of insurance companies. They all have to put into
Speaker 2: this fund. It's mandatory if you want to do business,
Speaker 2: if they want to do business in California, and it
Speaker 2: guarantees that anybody who has a home or a piece
Speaker 2: of property will be covered if all other insurance policies
Speaker 2: or applications are denied or your insurance is exhausted.
Speaker 1: And that's what happened to me. I couldn't find insurance.
Speaker 1: I was there.
Speaker 2: My homeowner's policy expired November eleventh, as a matter of fact,
Speaker 2: I will never forget that. And I couldn't find a
Speaker 2: policy for two and a half weeks, and my insurance
Speaker 2: agent finally found me a policy, and it was for
Speaker 2: less coverage and twice the price, one hundred percent more money,
Speaker 2: to the point where it became prohibitive. Now I don't
Speaker 2: do that. I don't pay that anymore because I got
Speaker 2: rid of the Persian Palace. But the people that bought
Speaker 2: the Persian Palace lovely family, by the way, and the
Speaker 2: good news is they are blind, they are not cited,
Speaker 2: and they have all kinds of liabilities or handicaps, so
Speaker 2: they're not able to really see what the house was like.
Speaker 2: But the point is they're paying a lot more. They've
Speaker 2: got nailed on the taxes, they're getting nailed on insurance.
Speaker 2: It's tough to own a home today. So at least
Speaker 2: under the California Fair Plan, it's going to go back
Speaker 2: to if you think you have smoke damage, you just.
Speaker 1: Call the lab. That's it.
Speaker 2: Call the lab. Yep, it's reached that certain level of
Speaker 2: smoke damage or the smell. I don't know how they
Speaker 2: do that, but labs do that. And so at least
Speaker 2: the insurance companies aren't given the power to determine what
Speaker 2: is what the average person's smell is.
Speaker 1: I don't have smell. I have virtually no smell.
Speaker 2: Why is that, Well, because four years of cocaine every
Speaker 2: day kind of wipes out the cilia in the nostrils.
Speaker 2: Am I an average person? Yeah, I can't smell anything.
Speaker 1: If they bring me.
Speaker 2: Up to testify, couldn't smell the thing. I don't know
Speaker 2: what the average person is. And that is the problem,
Speaker 2: and the insurance commit sure, and let that fly. Let
Speaker 2: that fly in twenty seventeen, and they're saying that's because
Speaker 2: you lied to the insurance companies. And let me tell you,
Speaker 2: insurance companies are your friend.
Speaker 1: Right. Fish are not food. Insurance companies are not food.
Speaker 1: Do I have that right? But they are your friends?
Speaker 1: All right? Enough of that.
Speaker 2: I don't know how that worked, by the way, all right,
Speaker 2: talking about the Olympics, you know what did the city
Speaker 2: get back when it hosts the Olympics. You go to Paris,
Speaker 2: you got a new village over one hundred and twenty
Speaker 2: eight acres, you got several dozen new apartment blocks, and
Speaker 2: they've changed a lot. This isn't a really miserable neighborhood
Speaker 2: Saint Denis, and they're going to redo and they have
Speaker 2: redone the entire neighborhood. And so it's kind of a
Speaker 2: neat way to do this, and of course that costs
Speaker 2: of fortune. Cities just spend more money than you could
Speaker 2: ever ever imagine.
Speaker 1: Now here's what cities tend to do.
Speaker 2: It's gotten so expensive to host Olympics over the past
Speaker 2: few years, more and more money that it's almost impossible
Speaker 2: for a city, a country not to go just spend
Speaker 2: more just god awful money. You can imagine, for example, Beijing,
Speaker 2: they say spent sixty billion dollars. And if you look
Speaker 2: at the stadium in Beijing where opening ceremonies took place,
Speaker 2: it is.
Speaker 1: Now being rented out for bar Mitzlas.
Speaker 2: There is nothing happening in there, and that happens to
Speaker 2: a lot of stadium You go to Greece, for example Athens,
Speaker 2: where they built all kinds of venues that.
Speaker 1: The Greeks don't use. They just don't use them, and
Speaker 1: so they either stand empty and if it's buildings, they
Speaker 1: convert them.
Speaker 2: Now the Olympic villages now are at least configured so
Speaker 2: housing can be created out of the Olympic village, and
Speaker 2: so that one at least makes sense. But the cities
Speaker 2: are going crazy and people are now thinking.
Speaker 1: Cities are now thinking.
Speaker 2: We covered this before, but we're going to see again
Speaker 2: how much Paris has paid.
Speaker 1: For these Olympics, how much it costs.
Speaker 2: There have only been two Olympics that actually have made
Speaker 2: money or even broken even, just two Olympic Games nineteen
Speaker 2: thirty two, nineteen.
Speaker 1: Eighty four, Los Angeles.
Speaker 2: And we'll see what happens in twenty twenty eight when
Speaker 2: the Summer Olympics return to La And here's what the
Speaker 2: cities do.
Speaker 1: It costs so much money. Is they build infrastructure.
Speaker 2: If you were around in nineteen eighty four, the airport
Speaker 2: was completely reconstructed. It went from what was considered the
Speaker 2: worst airport, worst major international airport in the world, to
Speaker 2: the worst international airport in the world. After having spent
Speaker 2: in those days hundreds of billions of dollars, we're doing
Speaker 2: it again. We're building out the airport one more time
Speaker 2: for the twenty twenty eight Olympics. In this case it
Speaker 2: is the it's in the billions of dollars, adding a
Speaker 2: new terminal, new parking, the people mover because La is well,
Speaker 2: it's because of the geography. It's almost impossible to deal with.
Speaker 2: People will do anything not to fly out of La.
Speaker 2: So the only major city that actually was able to
Speaker 2: deal with infrastructure and make it work nineteen eighty two.
Speaker 2: Nineteen ninety two Olympics in Barcelona, however, and out of
Speaker 2: the Olympics came this wonderful architecture and Barcelona was changed over.
Speaker 1: But they were gonna do it anyway, you know, let
Speaker 1: me let me in New York.
Speaker 2: Okay, the twenty twelve Summer Olympics that New York bid
Speaker 2: for lost out to London.
Speaker 1: And you've got.
Speaker 2: Experts in this studying the Olympics that say New York
Speaker 2: won the competition by losing the games because they had prepared.
Speaker 1: The city had prepared all kinds.
Speaker 2: Of sites, mapped out sites they could be converted into
Speaker 2: parks and housing and office towers after the Olympics.
Speaker 1: So New York loses out and they build it anyway.
Speaker 2: And that's usually the case that if you in these
Speaker 2: cities who vy for it and don't make it, usually
Speaker 2: build the infrastructure anyway. And it's without the cost of
Speaker 2: the Olympics, which are astronomical now just a security because
Speaker 2: of what happens and the assassination attempt and the terrorist
Speaker 2: attacks starting in nineteen sixty eight, by the way, with
Speaker 2: the Munich Olympics, when the Israeli athletes were murdered by
Speaker 2: then the PLO which is now the Palestinian Authority, yes
Speaker 2: or air Fat headed that wonderful organization, terrorist organization that
Speaker 2: then morphed into what is recognized and he became a
Speaker 2: hero even though he was an out now terrorist. So
Speaker 2: the Olympics modern Olympics have gotten more and more expensive.
Speaker 2: You have Munich in nineteen seventy two, the doping scandals,
Speaker 2: Pick your Game, boycotts Moscow in nineteen eighty LA and
Speaker 2: nineteen eighty four the bombing in Atlanta, and it's just
Speaker 2: not the same anymore. It's fun to watch, and the
Speaker 2: International Olympic Committee is getting zillions of dollars in broadcast
Speaker 2: rights and they sell off sponsorship. Peter Uberov actually started
Speaker 2: that with the La Olympics. That's why in nineteen eighty
Speaker 2: four the Olympics actually made money a couple hundred million dollars.
Speaker 2: So is Paris going to lose their shirt? Yeah, they're
Speaker 2: going to lose their berets on this. And we'll see
Speaker 2: what happens at the end of this. And back to security,
Speaker 2: what is it forty five thousand cops just from the
Speaker 2: police force and the various agencies around Paris. That doesn't
Speaker 2: count other security coming in from other countries that are there.
Speaker 1: So we'll see what happens.
Speaker 2: By the way, I missed the nineteen nineteen eighty four
Speaker 2: Olympics because I went to Australia because I knew how
Speaker 2: crowded it was going to be. This place was a
Speaker 2: ghost town. There was no traffic. I wish I had stayed.
Speaker 2: I'm a big fan of the Olympics, and if I
Speaker 2: can possibly afford it, I'm going to try to do
Speaker 2: opening games and twenty twenty eight. How amy how much
Speaker 2: you think the ticket's going to be for opening ceremonies,
Speaker 2: No idea.
Speaker 1: I think a couple of thousand bucks, I would guess.
Speaker 2: Matter of fact, if they're selling ticket now, they're not
Speaker 2: selling tickets yet for opening ceremonies.
Speaker 1: If so, I'm sorry.
Speaker 3: I'll be there at Sofi Stadium.
Speaker 1: Is it so fine? Partial? I believe?
Speaker 2: Yeah, Well, if you can get me in somehow, you're
Speaker 2: you're my new best friend.
Speaker 3: Tickets for opening ceremonies. Ooh, highest ticket prices twenty nine
Speaker 3: hundred dollars. That's for this, for this Olympics.
Speaker 2: Oh you know what, I'll buy them now, twenty nine
Speaker 2: hundred dollars in the best seats.
Speaker 3: No, for this Olympics. The twenty twenty four Olympics in Paris,
Speaker 3: they're say.
Speaker 2: And that was three hundred, twenty five thousand people lining
Speaker 2: the banks of the river sing wow.
Speaker 1: I can't imagine what Sofi is going to be like
Speaker 1: all right.
Speaker 2: Mike Dubuski, ABC News technology expert and reporter is with
Speaker 2: us for Tech Tuesday.
Speaker 1: Good morning, Mike, Good morning. How are you? I am? Okay,
Speaker 1: you're gonna watch it this morning, or at least watch
Speaker 1: the rerun.
Speaker 4: Well, I gotta, you know, chat with you guys first,
Speaker 4: but yeah, I might be able to catch a little
Speaker 4: bit going on.
Speaker 1: I can't wait to see her.
Speaker 2: I mean, she is nothing short of incredible to watch
Speaker 2: this woman, Yeah for sure. Okay, let's talk about open
Speaker 2: Aiy's search engine. It is her, it is here, but
Speaker 2: it's different than AI chat box. I mean, there are
Speaker 2: how many different kinds of AI art there and who
Speaker 2: is doing it? And what information are they based on?
Speaker 2: And how do they operate?
Speaker 4: Okay, a lot of questions there, Yeah, a lot of questions.
Speaker 4: But I mean I think that's reasonable because this is
Speaker 4: suddenly a technology that seems to be every where, and
Speaker 4: there's a lot of different versions of it out there.
Speaker 4: So what we say when we talk about AI or
Speaker 4: artificial intelligence in twenty twenty four, generally what we're talking
Speaker 4: about is generative artificial intelligence, meaning this new type of
Speaker 4: technology that is essentially a very advanced version of autocorrect,
Speaker 4: which you might be able to you know, access on
Speaker 4: your phone where you know this the computer is able
Speaker 4: to sort of predict the next word in the sentence
Speaker 4: based on context clues. These large language models, these you
Speaker 4: know chat GPT, open ai, you know some of what
Speaker 4: Google is doing. They're essentially very advanced versions of that,
Speaker 4: where instead of predicting the next word, they can predict
Speaker 4: whole sentences and paragraphs of information. That's what generative artificial
Speaker 4: intelligence is. And one of the leading companies in this
Speaker 4: industry is open Ai. They make chat GPT, which is
Speaker 4: a very advanced chatbot, and in recent days they showed
Speaker 4: off a new product called search GPT. This is purported
Speaker 4: to be an AI search engine, a competitor to Google.
Speaker 4: Where you go to this service, you type in a
Speaker 4: question and instead of presenting you with a page of
Speaker 4: blue links like Google Search would, it presents you with
Speaker 4: an AI generated block of text that presumably answers your questions.
Speaker 4: This is a technology that has real time access to
Speaker 4: the Internet, meaning you can ask it about current events
Speaker 4: and local happenings and sports scores and all that type
Speaker 4: of thing, and it will cite its sources in its
Speaker 4: response to you, meaning, as you're reading through the answer,
Speaker 4: you'll see little citations to ABC News or KFI or
Speaker 4: what have you.
Speaker 2: Yeah, Mike, I would think since one is simply a
Speaker 2: predictive model the other one, and it does not connect
Speaker 2: to the Internet in real time, the other one does,
Speaker 2: wouldn't you think a combination of those two would be
Speaker 2: the magic bullet here?
Speaker 1: Yeah.
Speaker 4: So the rumor here with open ai is that eventually
Speaker 4: search GPT is going to be integrated into chat GPT,
Speaker 4: and that these two things will just become one big
Speaker 4: technology that open Ai charges a monthly subscription for or
Speaker 4: in some way integrates advertising into, and that will be
Speaker 4: their sort of killer app, their major revenue stream. As
Speaker 4: of right now, they're keeping them separate. Again, this is
Speaker 4: a pretty new technology that open ai is putting out
Speaker 4: their search GPT, and they're limiting who can access it.
Speaker 4: Only ten thousand people have access to this program at launch.
Speaker 4: I think that is to cut down on potentially embarrassing
Speaker 4: moments that open ai could find itself mired in if
Speaker 4: this thing gets stuff wrong, which we've seen it do
Speaker 4: in the past. Google has a competitor to this service.
Speaker 4: It's called Ai Overviews. You may have encountered this in
Speaker 4: your googling recently, where above your traditional search results there's
Speaker 4: this AI generated block of text that answers your question. Well,
Speaker 4: a few months ago, that service was telling people to
Speaker 4: put glue on pizza and to eat and do all
Speaker 4: manner of absurd things. And that is a hallucination in
Speaker 4: the AI world. That's what we call a mistake and
Speaker 4: you know, misinformation that's being thrown out there. Obviously, in
Speaker 4: Google's case, it was kind of silly, but you can
Speaker 4: imagine the potential for that to be used for harm
Speaker 4: or going wrong, and that's a challenge that OpenAI itself
Speaker 4: is facing. In the promo video for search GPT, it
Speaker 4: made a mistake, there was a hallucination there. So it's
Speaker 4: something that continues to dog the industry.
Speaker 2: All right, So let me ask about AI and before
Speaker 2: I get into the glue on the pizza story, and
Speaker 2: that is I understand that there is nothing that's being
Speaker 2: manufactured out there that doesn't have a chip or some
Speaker 2: technology where AI is not being used, and it's.
Speaker 1: Happening very very quickly.
Speaker 2: Explain what for example, my refrigerator at home right it
Speaker 2: has all kinds of chips in it.
Speaker 1: What is it going to do with a that does
Speaker 1: not do now.
Speaker 4: I mean, that's a great question. I think that you're
Speaker 4: absolutely right at identifying that AI has proliferated across a
Speaker 4: whole variety of different industries, from the automotive sector to
Speaker 4: you know, the smart home sector, as you reference to
Speaker 4: even innocuous things like your Amazon Alexa device is now
Speaker 4: going to be integrated with AI. I think it's important
Speaker 4: to kind of put this in context. AI, you know,
Speaker 4: as a term has been around for decades at this point.
Speaker 4: It's really just meant to, you know, describe a computer
Speaker 4: that in some way thinks but is not necessarily intelligent.
Speaker 4: It's sort of a very broad term, and I think
Speaker 4: that a number of companies out there, marketing agencies in particular,
Speaker 4: like to affix the AI label two things when in
Speaker 4: fact they're not actually describing particularly advanced to AI. It
Speaker 4: does have some utility in the sense that, you know,
Speaker 4: in the Amazon Alexa example, talking to your voice assistant
Speaker 4: can be kind of frustrating. It's you have to use
Speaker 4: canned words and phrases, and then the thing doesn't hear you,
Speaker 4: and then you have to repeat yourself, and et cetera.
Speaker 1: Et cetera.
Speaker 4: The idea behind using generative AI in an application like
Speaker 4: that is that it will make it a lot easier
Speaker 4: to talk to because these systems can replicate human language
Speaker 4: pretty effectively. This will be a much more natural conversation
Speaker 4: that you're having, and you can get it to do
Speaker 4: more things by using you know, less words and that
Speaker 4: type of thing. So yeah, I think you're absolutely right
Speaker 4: that it's all around what it will do in the
Speaker 4: context of your refrigerator. Not totally sure, though. It's also
Speaker 4: worth mentioning that, you know, refrigerators have cropped up in
Speaker 4: a number of AI demonstrations of late, where you know,
Speaker 4: Google showed off an example of people taking pictures of
Speaker 4: their you know, refrigerator and then asking an artificial intelligence
Speaker 4: to make recipes, you know, based on what the system
Speaker 4: sees in your refrigerator. So you know, you can see
Speaker 4: some applications there. But yeah, it's all over the place,
Speaker 4: and sometimes it describes a very advanced technology. Sometimes it
Speaker 4: really does not, you know.
Speaker 2: For example, let's go back decades ago when IBM created Watson,
Speaker 2: that computer that played chess, and it beat Kasparov, the
Speaker 2: world's number one rated chess player, and it was able
Speaker 2: to do that.
Speaker 1: It was learning quote chess as it was playing.
Speaker 2: If it has access the same computer having access to
Speaker 2: the Internet, which means every book ever written about chess,
Speaker 2: every article ever written about chess, basically human knowledge about chess,
Speaker 2: then you're talking about.
Speaker 1: An unbeatable product.
Speaker 2: And if you extrapolate that you're talking about at some
Speaker 2: point it's never going to be wrong. I want you
Speaker 2: to comment on that, and let's go to how it's
Speaker 2: wrong with glue on pizza.
Speaker 4: Well, I think the perfect extrapulation is exactly what IBM
Speaker 4: did with Watson next, which was put it on Jeopardy, right.
Speaker 4: You know, the next level of like expertise, isn't playing
Speaker 4: one specific game, it's playing trivia where you have to
Speaker 4: be able to access information from a variety of different topics.
Speaker 4: It won like nobody else had won before. It beat
Speaker 4: some of the major champions of Jeopardy, including Ken Jennings.
Speaker 4: So IBM, you know, has seen a lot of success
Speaker 4: with Watson. However, you know, I don't want to overstate
Speaker 4: what these systems can do. They are consistently wrong about
Speaker 4: a number of things. As we mentioned with search GPT,
Speaker 4: which again is open AI's latest product, a search engine
Speaker 4: competitor in its own promotional video it got something wrong, right.
Speaker 4: You know, this is something that has continued to dog
Speaker 4: the industry, and the reason is the training data that
Speaker 4: these systems rely upon. In other words, the information that
Speaker 4: you put into the machine has to be there, has
Speaker 4: to be a huge volume of it, and that creates
Speaker 4: this incentive for these AI companies to go looking in
Speaker 4: kind of unusual place for that information. Chat GPT search
Speaker 4: GPT are trained on everything from academic papers and newspapers
Speaker 4: legitimates forms of information to less legitimate forms of information,
Speaker 4: things like Facebook and Reddit comments. When Google told users
Speaker 4: to put glue on pizza, researchers traced that erroneous and
Speaker 4: wrong response back to a more than ten year old
Speaker 4: comment on Reddit, which was itself a joke. So these
Speaker 4: systems get things wrong, and that is something that the
Speaker 4: AI industry has not solved yet. So that is something
Speaker 4: that CHATGPT kind of or excuse me, open ai needs
Speaker 4: to manage going forward as it sort of negotiates the
Speaker 4: rollout of its new search engine.
Speaker 2: Yeah, and I'm assuming if based on that story, to
Speaker 2: your point, is it ever going to be able to
Speaker 2: tell when someone is joking not or not. You know,
Speaker 2: for example, I'm joking and it always runs flat.
Speaker 1: People don't laugh, and they just think I'm a moron.
Speaker 1: Where I know I'm joking.
Speaker 2: How is a computer program ever going to be able
Speaker 2: to figure that out?
Speaker 4: I think one of the wisest things that's been said
Speaker 4: about this latest cycle of artificial intelligence technology that's hit
Speaker 4: the market recently is that it's really good at doing
Speaker 4: things that you know, the managerial class does, right, like
Speaker 4: make decisions, weighing various numbers, various inputs and outputs, and
Speaker 4: less good at doing the sort of more human tasks,
Speaker 4: sort of understanding context, understanding humor, understanding sarcasm and satire.
Speaker 4: That's difficult for these systems. It's sort of a you know,
Speaker 4: more playful thing that we as humans do, but it
Speaker 4: is something that's really difficult for a computer to wrap
Speaker 4: its mind around. So, yeah, will it ever be able
Speaker 4: to do that? I mean, I think that it's very
Speaker 4: important to not overstate that that not treat this technology
Speaker 4: as inevitable, in other words, because there are some real
Speaker 4: questions about its future. There's been some very robust reporting
Speaker 4: recently about open a financial situation. These systems require a
Speaker 4: lot of energy, and a lot of capital in order
Speaker 4: to run. So far, they have not proven their need
Speaker 4: to exist in the first place, let alone whether they
Speaker 4: are a world changing technology. So I think that there's
Speaker 4: some real questions about the future of this industry.
Speaker 1: Mike, thanks for taking the time. Always appreciated, of course.
Speaker 4: Guys, take care all right.
Speaker 2: I have a good winning KFI AM six forty live
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Speaker 1: You've been listening to the Bill Handle Show.
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