Big Technology Podcast - Polymarket vs. Pollsters, Podcasts & Politics, Open Source AI In Trouble

Episode Date: November 8, 2024

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover 1) Polymarket's election day triumph 2) Was the prediction markets' success a fluke or something with stayin...g power 3) Why crypto folks love prediction markets 4) Bitcoin skyrockets after Trump's election 5) S&P 500 hits 6,000 6) Is this stock market momentum sustainable? 7) Why Tesla benefits from Trump's election - or does it? 8) Podcasts were the defining media format of the election 9) Why podcasts matter 10) Trump vs. Harris media strategy 11) Open source AI under the microscope as it's adopted for wartime uses --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. For weekly updates on the show, sign up for the pod newsletter on LinkedIn: https://www.linkedin.com/newsletters/6901970121829801984/ Want a discount for Big Technology on Substack? Here’s 40% off for the first year: https://tinyurl.com/bigtechnology Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

Transcript
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Starting point is 00:00:00 Polymarket outshines Nate Silver and the pollsters. Bitcoin in the S&P 500 jump to astounding new heights. Podcasts become the breakout hit of the election cycle plus open source AI is in trouble. All that and more coming up on a big technology podcast Friday edition right after this. Welcome to Big Technology Podcast Friday edition where we break down the news in our traditional cool-headed and nuanced format. We have so much to discuss with you today. A lot going on in the aftermath of the election. We're going to talk about how well the prediction markets did. why Bitcoin and the S&P 500 are just soaring the role of podcasts in the election
Starting point is 00:00:35 and the fact that China is now taking open-source AI and using it for military, potential military uses and what that means for the new administration. Joining us, as always, is Ron John Roy of Margins. Ron John, great to see you. Welcome back. It's been quite a week, Alex. I'm ready to talk about it.
Starting point is 00:00:54 It's a week where we had a tremendous amount of news break over a very short time, and there's so much to unpack. And, you know, we're going to get into it. We're still talking election here. I know we did some last week. I've done a couple shows this week, and this is the third that's going to touch on the election. But I just wrote a piece in big technology talking about how the AI story is going to roll on in the Trump second term. And I just want to put a point on that before we get going, which is that, yes, there are going to be a lot of Trump stories over the next four years.
Starting point is 00:01:20 But our role here is to break down tech news. We're going to do, of course, some politics as we always do. But the focus is going to be on artificial intelligence and technology. And that is going to be the place that we cover. So don't worry, this is not going to turn into a politics podcast. But that being said, we should talk about what to me was the most interesting tech story of the election, which is the fact that Polly Market just kicked the living daylights out of the pollsters. Polymarket, like we spoke about last week, had Donald Trump favored 61% to 39% for Harris.
Starting point is 00:01:52 It called almost all the races accurately and did it before any of the news organizations did it. Nate Silver, you know, had Harris and Trump in a toss-up 50-50. He ran like, what, 80,000 simulations, and it was like 40,000 each. Polymarket ran one prediction market, and it was right. And so you talked a little bit about what the implications are last week, but now we have results. What do you think we should take from this? Oh, this was a tough one for me, Alex, because I have long believed in the power of betting
Starting point is 00:02:25 markets having come from the trading world. And there's even a site trade sports back in the 2000s, if anyone actually remembers it, where you can not only essentially bet these derivative contracts on sporting events, but they had entered politics actually back in 2008. So I really believe at some kind of scale and quality of market, it's a better way of trying to kind of like glean information and predictions. I was a little frustrated and annoyed by both polymarket and Kalshi during this election cycle because they were vindicated in this cycle. But these are still incredibly small, manipulatable, and opaque markets.
Starting point is 00:03:08 So I think the idea that somehow they are now positioned to kick the living shit out of pollsters and like, you know, really give us better information. I think in this exact situation, the Republicans won, Trump won, and the type of consumer that would probably be more geared to our betting market, especially polymarket, which is only technically available to non-U.S. citizens and is only available by using crypto and understand, I mean, clearly the crypto market and most crypto users would have leaned Trump fairly this election anyways. I think this was more like correlation, not causation. just happens to be in this specific instance, the actual electorate went in the same direction that the people who would use a betting market went. I don't think that's going to be the case going into the future or as like a reliable indicator of future events. All right, I'm going to take the other side. I think that this is from CoinDesk that it says the vindication comes after several weeks in which the mainstream media harped on the theory that polymarket, which runs on
Starting point is 00:04:14 crypto and has seen billions of dollars in trading volume this year was being manipulated by pro-Trump forces to inflate his odds. I think they're speaking directly to you. Are you quoting coin desk for crypto? They're speaking directly to you. And here's the facts. The facts are that the pollsters were wrong. The pollster said 50-50. And Polly Market was right. And not only was it right, it became such an effective data point because as the results started coming in, the movement that you could see in polymarket was so predictive of the outcome. It started with that 61%. As the early votes came in, it tracked perfectly 66%. And eventually it got to the point where if you do any betting at all, you knew that it was good, that the odds on favorite was Trump before any of the swing states
Starting point is 00:05:06 were called by the networks. And in fact, I was in my group chats as the night went on. And I call the race at 7.30 p.m. And I was like, listen, I was like, I'm looking at what's coming in with the exit polls. That's a data point. I'm looking at some of the early votes. That's a data point. And I'm looking at Pollymarket, and that's an important data point. And both Pollymarket and Kalshi were making massive moves in Trump's way. And I think you're underestimating how sharps, right, skilled betters have come into this field and moved these betting lines and have been quite accurate on them. See, where I disagree here is, again, when we have an event where the outcome is something
Starting point is 00:05:48 that is not geared towards the type of person in a betting market, then I want to see it actually work. Because when it's not the bias of someone who would participate in a betting market, when the outcome is in that direction, then we'll actually see. And I think in this case, it's just, I don't know, I want betting markets to work. want all of us. I think we may, I forget what the bet we made last week, but we made a bet in a year. I already forgot it. I haven't done. I guess I'm off the hook on that one. Oh, but shit, it's recorded. That's the problem with doing podcasts. It's recorded. So exactly. But if we had a contract,
Starting point is 00:06:26 a derivative contract that allowed us to place odds and let people bet, we would be held accountable. I think we made a bet around whether AI search would replace over 50% of search. Oh, right. That's the one. that's another one. I want all of these as derivative contracts. That's what like crypto was supposed to allow us to do. I really think in the long run, this could be good. I think this is another example, again, of the way it's being rolled out and kind of turned into, I was getting endless, I was getting calci ads that were like really like standoffish against the mainstream media and that whole positioning. And I think again, it's attracting a very, very specific type of person. And in this case, that person reflected the entire electorate. I don't think that's going to be the case
Starting point is 00:07:13 two years from now, four years from now. I disagree. I mean, they got so many of the states right. Like if they only had like a decent or directional accuracy, I would say, okay, maybe that makes sense. But they got so many things right. And they called so many states before everybody, the AP called them, for instance. They called Georgia at 1027 p.m. and the AP called it at 12.58 a.m. They called Wisconsin at 11.10 p.m. AAP called it at 5.34 a.m. They called the overall winner at 11.43 p.m. We didn't have the AP call till the next morning. So I think the fact that they were both accurate and precise says that the wisdom of the crowds was right in this area. Now do I leave open the possibility that you're correct in some way? Sure. But I do think this is the new standard until proven otherwise. Well, no, no. Precision in this case, if they were able to actually kind of call the different, the vote differentials in these states, that's one thing. When Trump wins seven of seven swing states and the bias of a market like this would be towards Trump, then it's going to be correct. But if it's actually calling like these will be this narrowed, then I would be impressed. Again, what some kind of decision that would lean heavily almost like comically progressive. I want to see that accurately called by a betting market. Again, I think these companies could actually really kind of build good markets around this.
Starting point is 00:08:45 I don't think they're good markets right now. And I'm saying that purely from a market infrastructure standpoint. They're still very small. They're still very opaque. They're more trading like an emerging market than an S&P. If they could actually develop in a kind of good way, I'd be happy. I think these can actually be and should be kind of like more at the center of how decision-making goes. But again, I've been following this stuff for the last 20-odd years and we've been promised this in a lot of different iterations and it has not worked.
Starting point is 00:09:18 I don't know. I think the proof is in the pudding. Nate Silver, 80,000 simulations, 40,000 one way, 40,000 the other way. I'm sure, Nate. Polymarket forecast October 25th predicted the actual results perfectly. My favorite thing is, I'm sure Nate Silver would be able to justify why, I think it was 40,00012 times Harris won. I think somehow he would actually still be able to say he was right. Well, that's one of Nate Silver's superpowers, just explaining how you've misinterpreted how wrong he is.
Starting point is 00:09:52 Now, I do think there's actually some legitimacy to that. I do think people pile on to Nate. And by the way, Nate is, he wrote about, we talked about it on the podcast with him. He wrote in his book On the Edge. He follows these prediction markets quite closely, and we talked about, like, whether they're going to replace polls at a certain point. And I think that, like, you know, they do until proven otherwise. Let's see. But they do until proven otherwise.
Starting point is 00:10:15 Well, just a quick personal story. During the whole, like, peak, I think it was probably like 6.30 p.m., I tried to deposit money into Calci. And it said via debit card, it would allow you an instant deposit. And I was not able to. It kept giving me server errors and erroring out. And I think that kind of reinforced my view on this, that on face, it looks like this like really modern, sophisticated thing. But in the back end, it's still just kind of a hacky startup that is promising this one big
Starting point is 00:10:49 thing, but it's not even functional enough to allow me to deposit money as it's supposed to to try to actually bet during a peak time. And even with those problems, it's still so accurate. way, who were you going to put that money on? I saw you tweet your screenshot. Who were you planning to bet on? Well, no, as a trader, and I would have lost on this, I think it was down at seven and before any swing states were announced. And that's where, again, from like an expected value standpoint, betting seven, one swing state flipped, you could see that go up to 20 or 30. That would be, and I would have sold it right away. I thought earlier on, I did not think she was
Starting point is 00:11:25 going to come out on top. That would have been, which is what I want these betting markets to allow me to do just a very short-term kind of flip on some kind of event happening and that event in that case would have been one swing state early on would have gone from seven to 20 or so was the expectation well that's seven to make 13 to 20 or so I guess it's a good thing that that didn't take your money so you know I joined fandle recently it's really very addicting I have to say we've talked about sports bidding in the past I was like looking at Polymarket and I was like, can I drop a wager on
Starting point is 00:12:03 Vanduil for this, but you can't. But I'm sure you'll be able to at some point. I like how, just as I described, how my mind works, I was actually feeling almost terrible for all the discussion we have had about the ills of sports gambling and literally trying to like juice
Starting point is 00:12:21 a little bit of return on a one hour period in an election day on the presidential. It just goes to show you how powerful these platforms are they can be they can be okay so you used a term expected value which is something that is used often in the crypto community and to me like one of the interesting things is like a lot of the coverage of these markets are on coin dust the markets take crypto they're run by crypto people and the people that were taking their victory laps were also crypto people here's one quote from the coin desk article prediction markets work said uh heart lamber the found
Starting point is 00:12:59 of a co-founder of a UMA protocol, a decentralized Oracle service that referees outcomes and disputes for Polymarket. Man, I feel bad for the reporter who had to write that description and title. But it's just so interesting that the ones that are so in favor of these markets are so pro-Crypto. I sort of get the association, but could you explain it to me? Well, it's currently Polymarket because it is illegal in the United States. States for U.S. citizens and to the U.S. dollar, it's going to be crypto. And who has crypto in their wallet that they can actually invest in this is someone who is into crypto. So I think that kind of is, I mean, it's a pretty direct connection right there. Then you have again, I mean,
Starting point is 00:13:47 Trump has been and he really leaned in towards the end as like incredibly pro crypto. We'll see how that plays out. But I think at all levels of that, this was a very strongly crypto. thing. Yes. And it has to be more than just a default, right? I just think that this is a way that folks who are deeply enmeshed in crypto think, right, where they think about expected value. They think about exactly the way that you were talking about putting money on something and hoping for a swing and seeing, you know, how every event could be quantified. And so it's sort of natural for them. That's my thesis. Yeah, well, I mean, and also in this case, if you are a crypto owner betting on Trump, it's almost kind of like a double your money sort of play because you both
Starting point is 00:14:33 are expecting to make money on that individual contract itself and you know that crypto will spike if he is elected. And on that note, I mean, Bitcoin's sitting right now, it's crazy, all-time high, $76,500. And the entire crypto community, like crypto was initially, I mean, Trump was initially anti-crypto. Now he's pro-crypto. This is from the New York Times. It's safe to bet that in the second Trump administration, the crypto industry will get most of what it wants in Washington, starting with the removal of Gary Gensler, the head of the Securities and Exchange Commission, who has become a villain among crypto companies for his tough regulation efforts. Crypto companies that were being sued or investigated under the Biden administration may see those cases dropped under a Trump administration, and pro-crypto voices are likely to hold sway when it comes to write new rules for the industry. I still, I get that, but I still, there has to be like an intrinsic value to Bitcoin to be able to put all this money. And to me, seeing Bitcoin sitting at 76,000, sparks two questions for me.
Starting point is 00:15:37 One is how and two is, why did I not get in when it was like 17,000 in 2022? I mean, I feel on the intrinsic value conversation, that's a totally separate one, purely as a vehicle for speculation, this was a great best. I mean, it was a great bet that, like, if it's trading on vibes, Trump winning, the vibes all clearly point towards a less stringent regulatory environment. Gary Gensler is definitely going to be gone. It'll be very interesting to see who he appoints on the CFTC. And I think overall, yeah, I mean, it's the most logical out of all the things that have happened, Bitcoin going up fast on a Trump. victory. Not a lot makes sense in the world to me all the time, but that one makes pretty good sense. You know, we began our discussions on this podcast talking about the frothy economic environment
Starting point is 00:16:35 and why nothing really made sense in the business world. It was everything was going on from, you know, SPACs and crypto and SBF. And there was a moment of correction where rates went up. SBF went to jail. CZ just came out of jail. And a lot of the crypto enthusiasm cooled NFTs. effectively went away. Well, Bitcoin is now at an all-time high. The S&P 500 is now at an all-time high. Rates are coming down, baby. We just saw another rate go down. Rate decrease this week, of course, quarter point. But are we returning to the frothy good old days of 2020, or are we still effectively going to be removed from that period of time? I think I have argued over the last, let's say, year, year and a half, especially any AI-driven, uh,
Starting point is 00:17:24 like boost in a stock price that it actually was a logical not irrational thing i think we're going to see at least in the short term that uh injection of life in a just a kind of untethered way let's say because i mean just again at its like on face markets are happy that trump won is like the average investor the average person work on wall street like assumptions will be less regulation like friendlier business environment and that again that one makes sense I think how long that last is going to be the very very big question but we'll certainly see it over the next couple of months I mean I'm quite happy with the way that my portfolio has performed this week it's crazy the SMP 500 just jumped over 6,000 points for the first time I mean I remember sitting at the desk
Starting point is 00:18:17 at CNBC midday of the year and there was an analyst that that came on and they're like, we think it's going to be at 5,200 or 5,500, and my eyes are like, you know, coming out of my skull thinking about the calculation. It's now up 26% on the year. It's wild. Yeah, I mean, but I think, okay, so I think Tesla is a good example for where this is going. And Tesla is up 26% from the moment the election was called the next day or from the open, 26% in just a couple of days. The market cap just passed a trillion. What's so fascinating about Tesla to me in this context is it kind of, I think, is going to
Starting point is 00:19:03 capture what the Trump presidency will, how it will interact with markets. Because why is Tesla up? Because Elon Musk helped Donald Trump win. I mean, like very closely associated himself with him. And the assumption is his proximity to. to Trump means something good is going to happen for the company. Nothing has changed about the fundamentals of Tesla in the last few days. In fact, Trump, oddly enough, goes on anti-EV electric vehicle rants all the time.
Starting point is 00:19:34 Like, you know at his core he is not a fan of electric vehicles. Yet somehow Tesla's up 26%. The moment there is a Musk Trump falling out, which I'm going to predict, and maybe there could be a contract on Polly Market on this, is probably going to to happen by March or April because we've all seen this story before. Does the stock get hit at that point? Like the thing I kept thinking about was the early days of the Trump presidency, those massive moves in stocks from just a tweet or just like a speculation on his relationship with an individual CEO or other business leader. And we're definitely heading back there. So I think
Starting point is 00:20:13 the question is which companies are the beneficiary of that and which companies are the victim of that we're going to be heading back to that world probably now. I mean, Tesla has always been a story stock, right? It's as much you believe in Elon Musk's vision and the power of that individual than you believe in like the bottom line for the vehicle production. Yeah, but this is the most kind of egregious expression of that where it's like in the other times it's like, yes, if Elon Musk says they're going to have autonomous robots and cars and whatever else.
Starting point is 00:20:47 and I mean, it's still related to the company. This is simply trading on Musk's proximity to Trump, someone again who is not a fan of the actual company's product. So that's why I like- Wait a second. He's also the man, I mean, there are worse allies to have them the pros of the United States, right? And he's also the man, Trump, is also the man
Starting point is 00:21:09 that's going to be setting the tariffs. No, no, of course. And we know that we're already, that the biggest competition that Elon has, electric vehicles from China. Yeah, yeah, yeah. He's going to put 100% tariff on electric vehicles from China, and Trump is the tariff man. So does that go to two or 300?
Starting point is 00:21:24 Does that completely eliminate the possibility of Chinese vehicles entering the United States market? That's why, you know, the story would be pro-Elon here and pro-Teslaw. Okay, that is actually one of the more logical kind of like paths to why that could go up. I'm impressed. I think, yeah, I think that's, it's a good story, up 26% path. a trillion back to above a trillion again on this. I don't know. I still feel it's going to be really interesting. I'm still calling Musk and Trump, those two in the same room trying to work together. It just to me, again, we saw this over and over in the first term. Like it's almost,
Starting point is 00:22:08 this one thing I'm kind of excited to watch play out too. Like it's going to be dramatic and fascinating when it does. The only question is when. argument there is that musk isn't going to be in a in the administration i mean maybe he'll be able to run this department of governmental efficiency and uh and they need each other in a way so yeah i don't know we'll find out they're two they are two big personalities i i get i give you that i saw musk tweet uh this like image of it was like at the bottom uh like some meme of a like a large strong guy holding up two other people and trump was like kind of the small one on top i was surprised that the bottom was Elon in the middle of was Joe Rogan.
Starting point is 00:22:49 Yeah, yeah, yeah, exactly. Yep, you saw it. So that one, I mean, already, that's the kind of thing that just one of those could totally trigger Trump and end this whole relationship very quickly because now he doesn't need him as much anymore. Okay. Well, you know, we could speculate all day about when or if that's going to happen. But let's talk like outside of the situation going on with the election, just the state of
Starting point is 00:23:12 the market in general. I mean, Dan Pramak was on on Wednesday and basically said the S&P is, been booming for a year. And now the S&P 500 is out of place that, I don't know, even the most pro this moment are going to admit that it's a little bit nuts. I think so, at least. But let's hear from one of the bears. There's a one of the Wall Street's last remaining bears warned on Thursday the S&P 500 is approaching a mania level as stocks become more expensive, right? Because there's a there is a valuation thing here. The bear is Barry Bannister.
Starting point is 00:23:50 He said, even allowing for the best case scenario of U.S. off-landing, and despite the potential ramp higher for U.S. fiscal spending and a geopolitical reckoning, the S&P 500 is in a mania nearing a three-generation valuation high. This is your conductor that the train is approaching Crazy Town. I mean, I think these valuations will matter at some point, don't you think? I don't think any time in the very near future, they will. I think until we see, again, as you started this segment, rates are still being cut
Starting point is 00:24:24 while the S&P is exploding. So the expectations are, I mean, pure Goldilocks right now. So I don't see any like sober rationality entering the market again in the next few months. Again, at some point, yes, but not anytime soon. I don't see what the catalyst would be. be. This is from a financial account bar chart. The stock market has just hit the most overvalued level since the peak of the dot-com bubble. Anything to read into that? I mean, it was there. It was pretty close, I think, a year and a half ago, two years ago during the mania of 2021 and early 2022. So
Starting point is 00:25:08 it couldn't go higher. I'm not going to say it will or it won't, but it certainly can go. higher. Yeah, I mean, nothing has really stopped it this year. Okay. So we have in our document two bar charts that are just hockey stick bar charts up and to the right. One is the S&P 500 and the other is the percentage of people in the U.S. at least that listen to podcasts. And I was pretty taken aback by this because the number is so high. The share of the U.S. population that have listened to a podcast in the past month is now 47%. And this is from the Wall Street Journal, 54% of podcast listeners say getting news or political analysis as an important benefit of the medium and 60% of people who are under 35 have listened to a podcast in the past month.
Starting point is 00:25:57 That was in the 40% range in 2020 during, in 2021, during the lockdowns. It dropped back into the 30s after that as people went back. And now our medium, Ranjan, is having a moment. 47% of people listen to these things. I mean, we know it's just an increasingly important medium. And it basically defined the media strategy for Donald Trump during the election. You saw Trump, I think he was on 20 podcasts. He went on Lex Friedman as a show, the listeners of this show might be familiar with.
Starting point is 00:26:34 But also the Nelt Boys, the Yvonne. He sat down with Joe Rogan for three hours. He was everywhere, and he ended up outperforming with young people, I think, something like six points compared to where he was when he ran against Biden. So I'm curious what you would make of this. It obviously seems like podcasts have asserted themselves as one of the most dominant forms of media in the United States. And I think in the world, and look, I'm obviously on the podcast train. I think that this is a very special medium. It's a way that, like, me, you and the listeners feel like we're, like, together in a room, really.
Starting point is 00:27:14 And you can't replicate that anywhere else. I mean, maybe on talk radio, but talk radio had its own format, right? Which was really broadcast, and this is more longer and more nuanced, more conversational. And it's something that Trump took advantage of. So what's your takeaway here? Yeah, I've been thinking a lot and have plenty of thoughts on just the overall information ecosystem, media ecosystem, and how this all played out. And one of the things that really struck me on this, it's what you said. It's podcasts, even a three-hour Joe Rogan podcast, are about as intimate a conversation
Starting point is 00:27:49 to really get into who is a person versus any other medium. A convention speech, a cable news interview, a tweet or an Instagram post. I mean, this gets you feeling closer to a candidate or a person far more than almost every other medium. And then the thing I kept thinking about is speaking even with friends who are working as part of the overall Harris organization. And then everyone kept kind of talking up the get out the vote operation, you know, like knocking on doors, canvassing, making calls, small budget fundraising. Like everything was the traditional view of how operational politics worked over the last few decades. And that's one of the things that I was like, okay, well, like, Obama was famous for 2008 and 2012 of, like, having an incredible get-out-the-vote operation. It was thinking about how effective Trump on all these podcasts was, and you saw numbers like Joe Rogan, I think it was like 50 million views of the Trump interview.
Starting point is 00:28:59 Just on YouTube. Just on YouTube. Remember, he's doing views on Spotify and he's across all podcast apps now. Like, then just think about, imagine you're sitting there. You just spent three hours with Joe Rogan and first Trump, then Elon Musk, all talking about this. And then some random person knocks at your door and tries to say, like, hey, do you want to know about the election? Like, how that was ever effective? I'm not quite sure.
Starting point is 00:29:26 But especially today, if you want to reach people, it almost seems, again, there's a lot of, like, in hindsight, this was obviously. but in hindsight this was obvious yeah no it's it's I think it's a watershed moment for the podcast medium that's why if you you know if you have a top executive it's a one on the big tech companies one of the big tech companies you should bring them on to big technology podcast this stuff matters but I do think that there's this was I think everybody really understood this implicitly for a long time but this is something that you cannot deny anymore and I just you know I'm familiar with the Nelk Boys. I know John Chahidi, who's one of the people behind that operation and to look at the Trump
Starting point is 00:30:12 victory speech and then watch Dana White come up there and shout out the Nelk Boys. You know, at a U.S. presidential speech, presidential victory speech to me was just, it was crazy. It's like, what reality are we living in? And the answer is we're just living in the podcast reality. So we thank you all the listeners for being here. I mean, this is, it's pretty crazy. Yeah, I think in terms of, again, And, like, the other thing I kept thinking about this is, what is the message you're trying to communicate?
Starting point is 00:30:39 Because one of the kind of, in hindsight, things I keep seeing is, you know, like the Harris campaign, what was the clear message they were trying to do, was trying to send. And especially when you're going through traditional mediums, there has to be an incredibly clear message, like, simple to the point, here's what I'm about. And what was interesting was, like, basically towards the end, it, from the Trump side, it was tariffs and immigration. From the Harris side, it was Trump is a fascist. And that was like the only, like economic messaging, there was no real clear messaging around that. There was like something around home ownership, something around small business, opportunity economy they were trying to push through. But what I kept thinking was like that lack of clear. economic messaging. Because especially in this kind of information ecosystem, to make messages
Starting point is 00:31:35 really flow through, you can't just depend on one TV ad, one cable news interview, even one viral moment. It has to be a consistent simple message that's repeated over and over in every medium. And again, that's where Trump has always been great. I mean, he's consistent on the messaging side at the high level. And I think like it showed through in terms of at the He goes on some tangents. Exactly. But that's what it's like, I think that's where like while people are laughing at whatever Hannibal Lecter rant is going on, in the end, he said immigration 20 times.
Starting point is 00:32:11 And he said tariffs a few times. And like those messages, I mean, those messages have been repeated since 2016. So it becomes pretty clear. And that's why now, because things are so fragmented, it's even more important than ever that politicians need to have just some. simple, clear message. Why do you think Harris didn't do as many podcast interviews as Trump? To me, it was just like, it was way too careful of a campaign.
Starting point is 00:32:38 You have to be a little bit unguarded in these podcast interviews, and I just don't think that came naturally to her. Yeah, I think, and I saw the Fox News interview, so it was fascinating to me. It's like, I'm going to walk into the most adversarial place on earth in order to try to reach undecided viewers versus I'm going to go to. I think if she goes on Rogan, it's a reasonable conversation, and maybe people get to know her a little better and people feel more comfortable and that could change votes. And I do think that that was a bit of a mistake. But I think you nailed it.
Starting point is 00:33:12 And again, not to get too into the pure kind of like political operation side, it was a very careful and well orchestrated campaign. And in this media ecosystem, I don't think that works. And I think, like, again, the Biden administration, the Biden campaign in 2020, the message of stop the chaos, let's return to some normalcy. Clearly, after four years of Trump and the pandemic was an easy one, a clear one. That was the biggest thing, again, for me, what was the message other than stop Trump? Trump is a fascist, which was clear, and it didn't work. Yeah, I was reading an axios today. They did a breakdown of, like, the aftermath of the election.
Starting point is 00:33:55 and it was interesting to see that this when they the way they phrased it made me think this was even a worse loss for the democrats than i initially thought because not only did they lose the white house not only do they lose the senate it looks like they're going to lose the house as well but the influence of mainstream media just took a hit like all of a sudden and i don't even think it's controversial the networks that used to drive the conversation that were sympathetic more sympathetic to the Democrats, basically everyone outside of Fox News, there's now a counterweight to them in this podcast circuit that people are paying attention to and listening to. I mean, the 50 million number for Rogan, right?
Starting point is 00:34:34 I mean, that's not all in the U.S. It's not all people who are eligible to vote, voting age, et cetera. But that's still a significant number. Let's say it was just one fifth, right? It's a pretty good percentage of the country that two did. Yeah, it's not even a counterweight, in my opinion. It's almost because what happens on podcasts, on social media, drives a conversation on network television anyways.
Starting point is 00:34:59 So I think going forward, it really is interesting. And especially for me, the whole misinformation topic was an interesting one in this cycle. Because at some level we hear it's not as prevalent as it was in 2016. Some level you hear it's even more prevalent. To me, it's almost like this is the information. reality we've all chosen. This is how people want to get information. It's going to be a bit siloed. It's going to be, so how you get messages to travel through that. Ryan Broderick at Garbage Day, I loved he had written, and America where you can watch MSNBC's Stephen
Starting point is 00:35:39 Kornacki deliver calming data points on a live stream like a zoo animal or an info war stream on X hosted by Michael Flynn and the Papa John's guy. As Musk wrote this morning, you are the media now. I think it is a reality that, like, people's information diets are very, very siloed and algorithmically driven right now. So that's just the reality that we've all chosen and accepted. So you have to be able to navigate that rather than playing the old game of, like, we're going to have a great convention and we're going to do a couple of cable news interviews
Starting point is 00:36:16 and we're going to be a bit vague on policy and just have some kind of, like, very very you could tell market tested things again like $25,000 for your first home as a buyer an opportunity economy those things you could tell were like political consultant tested versus something just simple and organic it's weird because I mean I'll say I'd much rather have both right like I'd much rather have the politicians sit down for interviews with you know the net news networks sit down for interviews with the times and the journal and the Washington Post for that matter. And then also do these long podcast interviews because, you know, you're not going to face as many tough questions on these long shows, but who you are does come out. Over three hours,
Starting point is 00:37:02 who you are comes out. And that's why people like them because there's a level of authenticity to them. But what you miss from podcasts, I don't think ours, like I'm a journalist. This is a show that's conducted journalistically. But what you miss with a lot of these talk podcasts is they're so friendly, that you're never really pressed on any of the things that you'll have to defend. And I do think in a democracy, being forced to defend some of your controversial choices is important. I mean, almost being overly cynical at this point, do you think, do you genuinely view being adversarily challenged as a politician is helpful to you and your campaign? No. No. Okay. It's not helpful to them. I just think that like if their job is
Starting point is 00:37:48 to serve the people. They should be willing to answer tough questions. You're more optimistic than I am right now. But I'm too idealistic for sure. Yeah. Yeah. I'll admit it. Okay. So podcast matter. Let's take a break. I think that when we come back, you know, you talked a little bit about where Elon Musk and Donald Trump might differ. And to me, the answer is open source AI is going to be one of the early places, because there's some stuff that's happening that's really worth talking about, and we'll break it down right after this. Hey, everyone, let me tell you about The Hustle Daily Show, a podcast filled with business, tech news, and original stories to keep you in the loop on what's trending.
Starting point is 00:38:31 More than 2 million professionals read The Hustle's daily email for its irreverent and informative takes on business and tech news. Now, they have a daily podcast called The Hustle Daily Show, where their team of writers break down the biggest business headlines in 15 minutes or less and explain why you should care about them. So, search for The Hustled Daily Show and your favorite podcast app like the one you're using right now. And we're back here on Big Technology Podcast Friday edition. Okay, a long segment to start talking about the election. And now let's talk about governing. How about that? Because there's four years of governing that Trump is going to have to do after this. And to me,
Starting point is 00:39:07 this is something I pointed out in Big Technology today. There's going to be a, a, big problem coming for open source AI. So I'm a fan of open source AI generally, and I think a lot of people in the tech world are, right? It allows companies to customize and to build and to develop things they couldn't with off-the-shelf models. It also enables us to understand this technology a little bit better than we would have if it's all being developed behind closed doors, as is this case in, let's say, open AI. But the thing about open source AI is that it's open. And we don't really have any rules on the book in terms of how this technology can be shared and used. I mean, there are obviously like user manuals, but there's no loss.
Starting point is 00:39:51 And now there was a story in Reuters that said, I'll just read it, exclusive. Chinese researchers develop AI model for military use on back of MEDA's Lama. Top Chinese research institutions linked to the People's Liberation Army have used META's publicly available Lama models to develop an AI tool for potential military applications. The researchers used an earlier Lama 13B large language model from META, incorporating their own parameters to construct a military-focused AI tool to gather and process intelligence and offer accurate and reliable information for operational decision-making. The tool is called chat BIT, and meta's terms of service prohibit the use of models for military warfare, nuclear industries, or nuclear industries, or applications, and espionage. However, meta, because these models are public, has limited ways of enforcing the provisions. And so what I think you're going to see is you're going to see Trump, who is adversarial to China, come into office, and he's going to attack this stuff.
Starting point is 00:40:54 He's not going to want to see open source AI getting into the hands of the Chinese military. And that, I think, is where big AI decision number one and potentially big conflict with Elon, number one, comes into play. because, as you'll remember, Elon found it opening eye. He hates the fact that Sam Altman has closed up the access to the models, and he's open-source models from GROC. What do you think, Ranjan? We have disagreed a lot today. I think I'm going to fully agree with you on this one.
Starting point is 00:41:24 As Tesla's stock has been up 26% since the election, meta, it was actually down 5% the next day. It was the only thing read on my charts, and it's up like 1.5% since, election. I think it's, we're going to see Trump clearly going after Mark Zuckerberg. And I think open source AI is going to be a very easy one that it's going to be hard to argue that something that the Chinese military is using is something that's in the national interest. And it's going to be, again, this is going to be something I think we're going to be talking about
Starting point is 00:42:01 a lot more. I did like how you specified in the terms and services. terms and conditions that they specify that it should not be used for military use or espionage. Like, could you imagine some, some like general in China going on to Lama and being like, wait, wait, wait, cut it. Cannot use it. Sorry, guys. God damn. We were about to put it into production. We were so close.
Starting point is 00:42:27 Can you believe what they wrote in the terms of service? Dams and terms and conditions. We're going to be getting a lawyer's letter very soon, cut it all. that is kind of cute that they do that. No, I don't think that really comes into play. But it is interesting because this stuff is making its way into the military. And this is also from this week, META permits its AI models to be used for U.S. military purposes. This is from the Times.
Starting point is 00:42:55 Meta will allow U.S. government agencies and contractors working on national security to use its artificial intelligence models for military purposes. It will make them available to, defense contractors like Lockheed Martin and Booz Allen, as well as defense focused companies like Palantir and Anderl, which is interesting because like Andrel found a Palmer luck he was he left meta under, you know, some, I think he would know he was fired for meta because of his political activity, but now they're working together. And Nick Clegg met as president of global affairs, said the company now back responsible and ethical uses of the technology that supported
Starting point is 00:43:30 the United States and democratic values in the global race for AI supremacy. Do you think think meta got an under got a whiff of the fact that the Chinese were building on his technology and decided to push this out right beforehand. I like that they're making an exception as long as it's responsible and ethical use of the technology. But now that you're saying this and I'm reading this, I think I'm, I want to know when does this all come to a head? Because I think this is going to be one of the first really big things that happens under Trump in terms of like both the intersection of technology and global politics. I mean, I feel Trump has to believe that AI and is going to become kind of like a central power source for every country and, like, incredibly important to economy and national security.
Starting point is 00:44:21 So especially, and it's a perfect U.S. versus China thing to kind of start talking about and moving on. So I think it's very good. Now that this is going to be one of the first big things. Yeah, I mean, look, if you think China is an adversary, how are you going to stand by if their military is using American open source models against the terms of service? Against the terms of service. That's really what irks me. I just think that this is a pretty watershed story that Reuters broke here. And of course, like, it's just like, you know, a research tool and it's helping military decision making. But that's a big deal. You know, if that goes into production, that's a big deal.
Starting point is 00:45:02 And we know that Meta, I mean, Meta's been building this. Mark Zuckerberg just announced they're going to build the next model on 100,000 GPUs, plus 100,000 plus GPUs. And do you think China's like looking at that and being like, shit, baby ship, we're ready to build on the next thing? Of course they are. My favorite part about this was it's the tool called chat, BIT, which I looked up stands for chat-based intelligence technology.
Starting point is 00:45:29 So not the most creatively named thing. It was fine-tuned and optimized for dialogue and questioning, answering tasks in the military field. I'm so curious, like, is this some, like, highly sensitive thing, though, or is this just, like, people asking about their pension funds or, like, I don't know. I'm curious, like, how sensitive, even China would be about, like, really pushing sensitive information and decision-making onto an American-based open-source model. It's your open source model. I mean, it's your model once you customize it with your parameters. That's the beauty of open source. Yeah.
Starting point is 00:46:07 Yeah. This is going to be a fun one to watch and a terrifying one. Also, on the name, you're not going to call something like chat super secret China military project. Chat, BIT is about as explicit as you're going to get. It's actually even more terrifying because it's so innocuous. Nine. So that would lead me to believe this isn't about pensions, man. This is about where to direct the nukes.
Starting point is 00:46:29 This is terrible. They're like, what is the most boring name you can possibly give the most dangerous thing in existence? They're rolling out at chat, BIT. It's over. Anyway, it's been a fun election week podcast episode. I'm sure we'll get back to the meat and potatoes next week talking more about Gen. I have tried and true tech stories. We had one about Apple thinking about building their own smart glasses, but we'll do that next week. So get me back to Siri and some earnings and I'll be comfortable.
Starting point is 00:47:04 Exactly. All right, Ron John, thanks for coming on. Great speak with you, as always. See you next week. And thanks everybody for listening. Great to have you here. We have another great episode for you on Wednesday, including a real fun launch for Big Technology.
Starting point is 00:47:16 So you'll have to stay tuned for that. We'll see you next time on Big Technology Podcast.

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