Latest / Breaking Points with Krystal and Saagar / 4/23/26: Global Alarms Over New AI, Kalshi Insider Trading, Tucker Apologizes For Trump Support

Transcript

4/23/26: Global Alarms Over New AI, Kalshi Insider Trading, Tucker Apologizes For Trump Support · Breaking Points with Krystal and Saagar

0:00
Speaker 1: Hey, guys, Saga and Crystal here.
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0:33
Speaker 2: All right, let's talk here about Mythos. Because of the war,
0:36
Speaker 2: we haven't gotten to cover this topic, even though it
0:38
Speaker 2: is extremely important. So let me actually start here, guys,
0:41
Speaker 2: with D two to give a little bit of backstory
0:43
Speaker 2: on what Mythos is. So this is anthropics new AI model,
0:47
Speaker 2: and what they're saying is that Mythos has the ability
0:50
Speaker 2: to go out and scan all sorts of software and
0:55
Speaker 2: find vulnerabilities that previously some of these vulnerabilities were known.
1:00
Speaker 2: So you can imagine, let's say you run a bank
1:04
Speaker 2: and let's say, Anthropic put Mythos out into the world.
1:07
Speaker 2: Hacker uses Mythos to identify vulnerabilities in key banking systems,
1:12
Speaker 2: is able to hack, and you can see how this
1:14
Speaker 2: would be a total and complete potential disaster. So Anthropic decided,
1:18
Speaker 2: we are actually not going to release this to the
1:21
Speaker 2: public because it's too powerful. Let me just read you
1:23
Speaker 2: a little bit from this tearsheet, they say. When Anthropic
1:26
Speaker 2: told the world this month it had built an artificial
1:28
Speaker 2: intelligence model so powerful it was too dangerous to release widely,
1:31
Speaker 2: the company named eleven organizations as partners to help mount
1:35
Speaker 2: a defense.
1:36
Speaker 3: All were from the United States.
1:37
Speaker 2: Within two weeks, the model called Mythos had set off
1:39
Speaker 2: a global scramble unlike anything yet seen in the AI era. Mythos,
1:44
Speaker 2: which Anthropics has said is uncannily capable of finding and
1:48
Speaker 2: exploiting hidden flaws in the software that runs the world's banks,
1:52
Speaker 2: power grids, and governments, had become a geopolitical chip, and
1:57
Speaker 2: a US company held at world leaders of struggle to
2:00
Speaker 2: figure out the scale of the security risks and how
2:02
Speaker 2: to fix them. Within Thropic sharing Mythos with only Britain
2:05
Speaker 2: outside of the US, the Bank of England governor warned
2:07
Speaker 2: publicly anthropic may have found a way to quote crack
2:10
Speaker 2: the whole cyber risk world open. The European Central Bank
2:14
Speaker 2: began quietly questioning banks about their defenses. Canada's finance minister
2:18
Speaker 2: compared the threat to the closure of the Strait of
2:20
Speaker 2: Hormo's interesting analogy there, So that is Mythos. Now we
2:25
Speaker 2: have a new, very unsettling development with regard to this
2:31
Speaker 2: very powerful AI model put D one up on the screen.
2:35
Speaker 2: According to Bloomberg and others, Mythos has now been accessed
2:40
Speaker 2: by unauthorized users. You effectively have this hacker collective that
2:45
Speaker 2: is organized on discord that was able to get in
2:49
Speaker 2: and gettin access to this model. Now we don't know
2:52
Speaker 2: that they have various intentions, et cetera. But if we
2:55
Speaker 2: have confirmed that this group was able to get access,
3:00
Speaker 2: it raises the question of number one, obviously this thing
3:03
Speaker 2: was not as securely protected as it needs to be.
3:06
Speaker 2: And number two, who else may have gained access to this?
3:10
Speaker 2: And so I just look at this and the whole
3:12
Speaker 2: thing is so insane that you have these companies that
3:16
Speaker 2: are able, basically with no checks to develop these models
3:21
Speaker 2: and then decide is it too powerful to release. We'll
3:24
Speaker 2: release it to this group and then it's all on
3:26
Speaker 2: their own to determine how secure the model needs to
3:29
Speaker 2: be to keep other actors out. And we're really playing
3:33
Speaker 2: with fire here at this point.
3:35
Speaker 1: So the cope I've heard from the more pro AI
3:38
Speaker 1: folks is basically that these companies make these catastrophic claims
3:43
Speaker 1: to prove how strong their models are. And at a
3:46
Speaker 1: certain point, I actually am willing to believe that. I
3:48
Speaker 1: don't think it would be the first time in human
3:50
Speaker 1: history a company is claiming extraordinary things about its product.
3:53
Speaker 1: But I think I have now seen enough evidence from
3:57
Speaker 1: the ownering, the ownership of the company and the people
4:00
Speaker 1: inside those companies who believe the truth about what they're
4:03
Speaker 1: saying to be concerned. And I also think to follow
4:06
Speaker 1: the trail of some of these different things, we should
4:09
Speaker 1: really take it very seriously. Like with D two when
4:11
Speaker 1: we put it up here on the screen, I think,
4:14
Speaker 1: you know, if we go through when we really like
4:15
Speaker 1: scrutinize what they're saying, is that setting off the global
4:20
Speaker 1: alarms and emergency response from banks and intelligence agencies is
4:24
Speaker 1: outside evidence that their claims may actually be true. So
4:28
Speaker 1: when the bank is able to report infiltration and then
4:32
Speaker 1: an intelligence agency is able to say, hey, this is
4:36
Speaker 1: actually getting through vital firewall. This is not an exaggeration
4:39
Speaker 1: of the AI model. It's actually a real concern that
4:42
Speaker 1: they have which we are not grappling with. And the
4:45
Speaker 1: bigger problem, as you said, is no federal scrutiny. Here's
4:49
Speaker 1: the truth. Like, you can't even bring let's take drugs, right,
4:53
Speaker 1: like a real drug, like a medical drug. You cannot
4:57
Speaker 1: bring a medical drug to market which will affect You
5:00
Speaker 1: can't even bring a medical diruct to market that will
5:02
Speaker 1: to affect a few thousand people in a genetic subgroup
5:06
Speaker 1: without rigorous evidence, safety data, and regulator approval. All of
5:11
Speaker 1: us agree with that. However, you can bring a phone
5:14
Speaker 1: to market and basically, as long as you comply with
5:17
Speaker 1: a few different various consumer regulations, it's fine. What the
5:21
Speaker 1: phone does. Let's take that to the AI. Let's take
5:23
Speaker 1: it seriously. They're saying, this can a piece of software
5:26
Speaker 1: which will radically change security and has so much danger
5:30
Speaker 1: that we have to selectively approve it. There's no regulatory
5:34
Speaker 1: body which says signed off. Now, some of it is scary, right,
5:38
Speaker 1: do you really want the CIA and others to be
5:41
Speaker 1: signing off because maybe they're signing off because they've been
5:44
Speaker 1: given a zero day. So I accept some of the
5:46
Speaker 1: more libertarian critiques here, but this is so globally important.
5:50
Speaker 1: It just seems to me like you got to have
5:52
Speaker 1: I don't know, a presidential advisory body or something which
5:56
Speaker 1: is saying, we've come here's the standards, here's the transparent
6:00
Speaker 1: review that we've conducted. We believe that it is setically
6:03
Speaker 1: even that I would feel more comfortable with a transparent review.
6:07
Speaker 1: But you don't have to leave it in their hands,
6:08
Speaker 1: because that's crazy.
6:08
Speaker 3: Because it's insane.
6:09
Speaker 2: I mean, so you've got Anthropic, which is run by
6:13
Speaker 2: you know, the guy who positions himself is taking safety
6:16
Speaker 2: the most seriously, and I think with some you know,
6:20
Speaker 2: at this point, he has some credibility given that he
6:22
Speaker 2: refused to go along with some of the Pentagon's demands.
6:25
Speaker 2: They routinely published papers that do research not only into
6:28
Speaker 2: their own models but other models to say, okay, this
6:30
Speaker 2: is what we were able to do. So I do
6:33
Speaker 2: think that they have some credibility there at the end
6:35
Speaker 2: of the day, though this is also you know, a
6:36
Speaker 2: company that is self interested and then wants to be
6:38
Speaker 2: the first and the best, et cetera.
6:40
Speaker 3: But you know, we're kind of lucky that it was anthropic.
6:43
Speaker 2: I guess that ended up with this extremely powerful AI,
6:47
Speaker 2: that they took these precautions and realized the problems here.
6:50
Speaker 2: I mean, that's the other possibility is that you may
6:53
Speaker 2: have a limited amount of testing because there's such a
6:55
Speaker 2: rush to push out the next model and win the
6:57
Speaker 2: race and be ahead of the competitors. You could imagine
7:00
Speaker 2: scenario where the testing is not as extensive and they
7:02
Speaker 2: don't even recognize the level of vulnerabilities that they're able
7:07
Speaker 2: to exploit with these models. But we're putting all of
7:10
Speaker 2: our faith in the hands of like these handful of
7:13
Speaker 2: I mean, it's just it's completely completely insane, and to
7:16
Speaker 2: your point about you know, the pushback being, Oh, they
7:19
Speaker 2: overhype these products and they claim they're so powerful, when
7:22
Speaker 2: really this is just a marketing gimmick. I don't really
7:24
Speaker 2: see how it serves their interest to not release a
7:27
Speaker 2: model because it's too powerful to really that means you
7:29
Speaker 2: can't profit off of it. That means that you're really
7:31
Speaker 2: limited in what you're able to do with it. So
7:33
Speaker 2: I think it's hard to see how this really financially
7:36
Speaker 2: benefits them in the short or medium or long term too,
7:39
Speaker 2: if they're really truly just over hyping this. And then
7:42
Speaker 2: another sign to your point of outside evidence of how
7:45
Speaker 2: significant this is, PU D three up at the screen.
7:47
Speaker 2: So Dario Ahmadi, who of course had of Anthropic and
7:50
Speaker 2: who was blacklisted by the Pentagon and deemed like a
7:53
Speaker 2: national you know, Oanthropic, is this supply chain risks so
7:57
Speaker 2: none of our contractors can even use it. The White
8:00
Speaker 2: House was concerned enough about this that they actually brought
8:03
Speaker 2: him in to discuss what was going on with Mythos
8:07
Speaker 2: and AI in general. It says Anthropics CEO Dario Ahmadai
8:10
Speaker 2: visited the White House on Friday for a high stakes
8:13
Speaker 2: meeting with the president's top advisor while his AI company
8:16
Speaker 2: battles the Trump administration in court for blacklisting its claud
8:19
Speaker 2: Ai model. AM and I met with White House Chief
8:21
Speaker 2: of Staff Susie Wilds to sources familiar said meeting took
8:24
Speaker 2: places the US governments trying to balance its hardline approach
8:27
Speaker 2: to Anthropic with the national security implications of turning its
8:30
Speaker 2: back on the company's breakthrough technology, including its Mythos tool
8:33
Speaker 2: that can identify cybersecurity threats, but also present a roadmap
8:37
Speaker 2: for hackers to attack companies or the government. White House
8:40
Speaker 2: at the meeting was introductory, calling it productive and constructive.
8:45
Speaker 2: So you know, we're already here with some of the
8:48
Speaker 2: potential scary possibilities of AI, and yet you know this
8:53
Speaker 2: government has decided we just need to be completely hands off.
8:56
Speaker 2: We need to any minimal regulation. There was some very
9:00
Speaker 2: minimal regulation put in place during the Biden administration that
9:03
Speaker 2: needs to be stripped away. And this is what our
9:05
Speaker 2: entire economy is effectively being that off.
9:07
Speaker 1: Oh that's the scary part I think. I mean, you know,
9:09
Speaker 1: just generally, I think whenever you really look into the
9:13
Speaker 1: mid Thos thing, if and here's look, when they release it,
9:17
Speaker 1: we'll know whether they're full of shit or not. So yeah,
9:19
Speaker 1: whenever it gets released, we will see how powerful it
9:23
Speaker 1: all actually is. There has been a lot of freak
9:25
Speaker 1: out and then you know with the bots and all
9:27
Speaker 1: of that stuff. But I think we should compare it
9:29
Speaker 1: to the inflation one that we just did. Change does
9:32
Speaker 1: not happen overnight. The iPhone was released in two thousand
9:36
Speaker 1: and seven. I want to say, ubiquitous smartphone adoption took
9:40
Speaker 1: four years. It was not till twenty eleven that everybody
9:44
Speaker 1: really had an iPhone or a Galaxy, you know, one
9:46
Speaker 1: of these smartphones, and like the addiction data started to
9:51
Speaker 1: really show up even then in twenty twelve, So it
9:53
Speaker 1: took five years. So I think AI will be very similar.
9:56
Speaker 1: Like you can see what the future may look like.
9:59
Speaker 1: You're never to know one, but you got to take
10:02
Speaker 1: some of these dangers very seriously. I just think as
10:04
Speaker 1: a generation, we have lived long enough through technological change
10:09
Speaker 1: to know almost certainly that the promises of how great
10:12
Speaker 1: things are going to be are almost certainly not true,
10:14
Speaker 1: and I think we should really grapple with that. Like
10:17
Speaker 1: I lived through the iPhone. I was an adult whenever
10:19
Speaker 1: it came out. It was the first smartphone I ever had,
10:22
Speaker 1: and I thought it was the coolest thing in the world.
10:24
Speaker 1: And sitting here, what sixteen years or so after I
10:27
Speaker 1: got my first iPhone four, Like, I don't think I'm
10:29
Speaker 1: better off with a smartphone. I can say that pretty
10:31
Speaker 1: pretty clearly. I wonder what a lot of other people think.
10:34
Speaker 1: But you know, that's why with the AI skepticism that
10:38
Speaker 1: you have to have, I've seen all these promises sometimes
10:40
Speaker 1: by the very same people about how much better off, yeah,
10:42
Speaker 1: that we would be. And I'm like, I don't think
10:44
Speaker 1: I'm better off.
10:44
Speaker 2: Think about just on the banking piece, Like, I mean,
10:48
Speaker 2: very few people are just like keeping their cash under
10:50
Speaker 2: their mattress, you know, or in gold bars or whatever.
10:54
Speaker 1: You know.
10:54
Speaker 2: We all just rely on these like ones and zeros
10:57
Speaker 2: in our bank account to be faithfully maintained. It only
11:00
Speaker 2: takes one significant instance where that's no longer the case
11:05
Speaker 2: and you can't rely on it. Think of the way
11:07
Speaker 2: that that changes people's mentality. Think of that way that
11:10
Speaker 2: upends the entire global financial system. I mean, I just
11:13
Speaker 2: that one thing is completely catastrazed.
11:15
Speaker 1: I can't even stop getting spam calls. Do you? Does
11:18
Speaker 1: this happen to you?
11:19
Speaker 4: Oh?
11:20
Speaker 1: Like my forgetting text My iPhone now has the unknown
11:24
Speaker 1: calls list because there's so many spam. So now imagine
11:28
Speaker 1: with AI and they have the ability to have somebody
11:31
Speaker 1: who can perfectly spoof your relative's voice, I mean, especially
11:34
Speaker 1: a public figure like me. All you got to do
11:35
Speaker 1: is run it through the AI. You can get me
11:37
Speaker 1: to say whatever you want, and then you're going to
11:38
Speaker 1: call somebody, let's say, who's a relative these are not
11:41
Speaker 1: that sophisticated. A scams very easily doable, and then like
11:45
Speaker 1: you said that, you could set up something some verification
11:47
Speaker 1: with the bank. It can hack your maybe your two
11:49
Speaker 1: factor verification very easily and then boom, you know, you
11:52
Speaker 1: could transfer like your entire estate in a matter of
11:56
Speaker 1: seconds if you actually wanted to. So I think, I
11:58
Speaker 1: don't know. I think we need a lot more consumer safety.
12:01
Speaker 1: And I also think the spam call thing is a
12:02
Speaker 1: good example because it's one of those which is an
12:05
Speaker 1: easily exploitable thing from outside actors using the internet. Spam
12:09
Speaker 1: on the Internet and specifically targeting old people has been
12:12
Speaker 1: a problem for more than two decades. For three decades. Actually,
12:15
Speaker 1: the Nigerian scam goes back to the nineteen nineties and
12:18
Speaker 1: is still not fixed. Like, think about that, after the
12:21
Speaker 1: whole might of the US government and technology and regulators,
12:24
Speaker 1: that still hasn't happened. So what makes you think it's
12:26
Speaker 1: going to get better with AI. I think it's just
12:28
Speaker 1: going to get sentimes worse.
12:29
Speaker 2: Yeah, there's going to be have to be some sort
12:31
Speaker 2: of like major incident that causes a massive public backlash
12:36
Speaker 2: to create generate the energy for some significant change in
12:39
Speaker 2: our approach. Let's go ahead and take a quick look
12:44
Speaker 2: at the other thing our economy is built on, which
12:46
Speaker 2: is gambling and crypto. This is an interesting update from Kalashi.
12:51
Speaker 2: They say that they have cracked down on political insider
12:54
Speaker 2: trading and they identify three instances of candidates for political
13:00
Speaker 2: office who were trading on their own races.
13:04
Speaker 3: So in one, you had it in the.
13:07
Speaker 2: Minnesota Democratic primary a candidate and the Democratic primary from
13:10
Speaker 2: Minnesota second congressional district. You have one in the Texas
13:15
Speaker 2: Republican primary for Texas's twenty first congressional district, and then
13:19
Speaker 2: you have a candidate for Democratic primary for Virginia's US
13:23
Speaker 2: Senate election. Now we've now identified who this individual is,
13:26
Speaker 2: and he's actually moved from running as a Democrat to
13:28
Speaker 2: running as an independent. And I'll give you his claim
13:31
Speaker 2: of what he was up to here. But you know,
13:34
Speaker 2: I mean glad to see klish being like, oh, you
13:36
Speaker 2: shouldn't do this and let's crack down. But it also
13:38
Speaker 2: shows just how insane all of this is. Before I
13:42
Speaker 2: get to the specifics on the candidates, let me put
13:44
Speaker 2: D seven up on the screen, because this is another
13:46
Speaker 2: insane example of the way that you can gain these things.
13:50
Speaker 2: So a hairdryer at a Paris airport broke the poly
13:53
Speaker 2: market weather markets and made someone thirty four thousand dollars rich.
13:56
Speaker 2: So KLDR here is that you can bet on what
13:59
Speaker 2: the t the highest.
14:00
Speaker 3: Temperature in Paris was going to be.
14:03
Speaker 2: Why and some right why and someone realized that this
14:07
Speaker 2: was all based on this one sensor that was at
14:11
Speaker 2: the airport close to the Charles de Gaulle Airport. So
14:14
Speaker 2: they went up with a hair dryer and heated the
14:17
Speaker 2: air around the sensor. They do this on did this
14:20
Speaker 2: on two separate occasions to twenty two degrees celsius, which
14:24
Speaker 2: seemed like a real long shot because it wasn't going
14:26
Speaker 2: to happen without dude showing up with a hair dryer.
14:29
Speaker 2: Market resolved in their favor and then they were able
14:32
Speaker 2: to pocket this tash some thirty four thousand dollars, and
14:36
Speaker 2: they did it twice before ultimately they got caught. So
14:41
Speaker 2: this is you know, I mean, I really my eyes
14:44
Speaker 2: were open saga when I realized you could bet on
14:46
Speaker 2: the color of the dildo being thrown at the WNBA game.
14:49
Speaker 3: That was a real like a.
14:50
Speaker 2: Real aha moment for me because it's so obvious in
14:53
Speaker 2: some of these things how they.
14:54
Speaker 3: Can just be completely completely rigged.
14:57
Speaker 2: And you know, the political insider trading one is obviously
15:00
Speaker 2: really scary and detrimental too. That you have people who
15:04
Speaker 2: are in a position to impact who gets in and
15:07
Speaker 2: what date they get in, and you know how much
15:09
Speaker 2: money they spend, and in some ways you know how
15:11
Speaker 2: well or poorly they perform. They can sort of point
15:14
Speaker 2: shave the same way that players can point shave in games.
15:16
Speaker 1: Yeah, but even accepting that frame valid validates the concept
15:21
Speaker 1: of a prediction market. And that's why what these companies
15:24
Speaker 1: want to do, like Polymarket, Calci and others, is show
15:27
Speaker 1: how well they regulate stuff to prevent insider trading. So
15:31
Speaker 1: I'm sure Calci's response would be, we don't even allow
15:34
Speaker 1: such bets. It's like, okay, but what is the utility
15:36
Speaker 1: of the bets that you do allow? What is the
15:38
Speaker 1: utility of betting in our marketplace? They would say, it
15:42
Speaker 1: allows people to resolve bigger questions. Put your money where
15:46
Speaker 1: your mouth is, Like what possible utility is there? And
15:50
Speaker 1: being able to bet on an election and its outcome?
15:53
Speaker 1: Y's serious, Like, what even in the most hyper regulated
15:57
Speaker 1: market in the world where there's no inside trading, what
16:01
Speaker 1: societal utilitarian benefit to the American consumer is there? I
16:06
Speaker 1: would say nothing, all right, and then what they're.
16:09
Speaker 3: Being able to bet on the Paris airport?
16:12
Speaker 1: Thank you? Right, but they say they would say that
16:14
Speaker 1: we're not even allowed to have that one. Let's say
16:16
Speaker 1: we're not going to do that. Let's say, what is
16:17
Speaker 1: an example of a prediction market which is supposed to
16:20
Speaker 1: resolve better than opinions? I would say politics is definitely
16:24
Speaker 1: another one, usually oil, future, sophisticated derivatives and all of that.
16:28
Speaker 1: And they're like, well, it's just an option to be
16:29
Speaker 1: able to trade derivatives without trading derivatives. Why why is
16:32
Speaker 1: that good? Can anyone tell me that? This is what
16:34
Speaker 1: happened more recently? Everything about their pitch is a deeply
16:38
Speaker 1: libertarian democratization of finance, which sounds good on paper, which
16:42
Speaker 1: is dad bad in practice. So the day trading thing.
16:46
Speaker 1: For example, recently the Trump administration release removed a twenty
16:50
Speaker 1: five thousand dollars cash limit that you have to have
16:53
Speaker 1: on hand to be able to place more than five
16:56
Speaker 1: trades in a day. A lot of retail day traders said, great,
16:59
Speaker 1: thank you for democratizing day trading. Let's look at the data.
17:02
Speaker 1: The absolute vast majority of consumer day traders will get
17:06
Speaker 1: wiped out within two to three months. That's empirical. You
17:09
Speaker 1: can actually go and look at that. If you're not
17:11
Speaker 1: a hedge fund basically trading on quasi insider information with
17:16
Speaker 1: market moving trades, and you really really like have a
17:19
Speaker 1: real place in Wall Street, the absolute vast majority of
17:22
Speaker 1: you will get crushed and you will lose your money.
17:25
Speaker 1: That twenty five thousand dollars limit was put into place
17:28
Speaker 1: after dot Com, specifically because a bunch of retail day
17:32
Speaker 1: traders during the dot Com crash in the nineteen nineties
17:34
Speaker 1: we're opening e trade accounts and got destroyed at a
17:37
Speaker 1: consumer level. So we've just removed that. Same with calshie,
17:41
Speaker 1: why are we betting on oil futures like right now?
17:43
Speaker 1: If you want to trade a real oil future, you
17:45
Speaker 1: need like twenty thirty thousand dollars in cash. Even then,
17:49
Speaker 1: I'm not really sure of the utility, but that's the
17:52
Speaker 1: truth is you need high liquidity to be able to
17:54
Speaker 1: make that work. And the real reasoning behind it is
17:57
Speaker 1: you basically need to be rich enough to be able
18:00
Speaker 1: to afford that level of loss. Even that makes me
18:03
Speaker 1: a little uncomfortable, but I can live with it from
18:05
Speaker 1: a regulator perspective. Why open up all of this stuff?
18:09
Speaker 1: The democratization libertarian theory is everyone should be allowed to profit,
18:13
Speaker 1: and they're very very rich are the ones who are
18:15
Speaker 1: only like and I understand that, But the reality is
18:19
Speaker 1: you will not win. It's like sports betting, you will
18:21
Speaker 1: not win.
18:22
Speaker 2: The house is going to the house will win, and
18:24
Speaker 2: it ends up just being another way to suck more
18:27
Speaker 2: cash out of ordinary people.
18:29
Speaker 1: Exactly so, And that's why I get really frustrated, is
18:33
Speaker 1: there's this whole TikTok pipeline about day trading and retail
18:38
Speaker 1: you know, rentals and airbnbs, and like, you will lose,
18:43
Speaker 1: Like there is almost certain, almost certain that you will
18:46
Speaker 1: lose whenever it comes to sports betting day trading. You
18:49
Speaker 1: will not beat the market like where there is so
18:51
Speaker 1: much data that is out there, but people want to
18:53
Speaker 1: get rich quick, and all we're doing is enabling these companies.
18:57
Speaker 1: Which is why when you enable this democratization bullshit, your
19:01
Speaker 1: personal finance goes down, but the stock of Robinhood goes
19:04
Speaker 1: up because they get to take all those little percentages
19:06
Speaker 1: of those trades and Calshi, you know what, they're doing
19:09
Speaker 1: this shit for free? No, they're taking small percent here,
19:12
Speaker 1: small percent there. That's how they get rich. And you lose,
19:16
Speaker 1: you know, you lose. And for some reason, this diatribe
19:20
Speaker 1: it doesn't break through because everybody thinks what it could
19:22
Speaker 1: be me. I don't know what to do at a
19:24
Speaker 1: certain point, which is why we had regulators and others
19:27
Speaker 1: trying to protect people from themselves. But I don't know.
19:30
Speaker 1: I mean, this is what people want. That's mostly what
19:32
Speaker 1: the data bears out until things become so catastrophic and
19:35
Speaker 1: then they're like, oh, how could I let this happen?
19:37
Speaker 1: Maybe I should be a libertarian. I'm like, okay, I
19:38
Speaker 1: should just buy Robin Hood stock and get rich off
19:41
Speaker 1: of your doomed I don't know.
19:42
Speaker 2: How much less libertarian these things, because the fact of
19:46
Speaker 2: the matter is like, there are vulnerabilities in human psychology
19:50
Speaker 2: that are easily exploited, and one of them is, yeah,
19:52
Speaker 2: holding out the possibility of like, oh, this time you're
19:55
Speaker 2: going to get rich and we I mean, this is
19:57
Speaker 2: what this is what casinos make millions and millions of
20:00
Speaker 2: dollars on every single day. And now when you've got
20:03
Speaker 2: it to the point where you know, you not only
20:06
Speaker 2: have like the casino and the gambling like addictive nature,
20:10
Speaker 2: but then you have it on your phone and so
20:12
Speaker 2: accessible and algorithmically driven and all of this research that
20:15
Speaker 2: has gone in to hacking your brain and figuring out
20:19
Speaker 2: how to make you do things that are really not
20:21
Speaker 2: in your best interest. It does require someone to come
20:25
Speaker 2: in and you know, and protect people. I mean, it
20:27
Speaker 2: really does require consumer protection because we are not built
20:31
Speaker 2: to be able to withstand those pressures every single day.
20:34
Speaker 2: And you see it with you know, you see it
20:35
Speaker 2: with scream time, you see it with social media paid its.
20:38
Speaker 1: Remember that one. Remember they always defended that. Can you
20:41
Speaker 1: really defend eighty percent interests? That's usury?
20:44
Speaker 2: Like?
20:44
Speaker 1: No, all right, anybody who's broken off to be fallen
20:47
Speaker 1: for something like that, somebody needs to protect you. Yeah,
20:50
Speaker 1: you're gonna hear you will, you will put yourself you know,
20:53
Speaker 1: we've looked at the data on this. The number one
20:56
Speaker 1: cause of divorce in North America is money problems. One
21:00
Speaker 1: of the main reasons unfortunately in this country that people
21:03
Speaker 1: take their own life is money problems. And you can look,
21:07
Speaker 1: you know, consistently, over all of these data sets to
21:11
Speaker 1: see the actual effect that bankruptcy has, Like during two
21:15
Speaker 1: thousand and eight and the recession, the suicide rate in
21:17
Speaker 1: this country went up, right, it costs real lives. So yeah,
21:21
Speaker 1: I do think we have a societal thing. But you're
21:24
Speaker 1: so right about the libertarian point where they sell this
21:28
Speaker 1: dream that oh, people should just be allowed to do
21:31
Speaker 1: what they want, and it's like, yes, you know, in
21:35
Speaker 1: a great world, but like in a corporate world where
21:37
Speaker 1: like if you ever read those studies about slot machines
21:39
Speaker 1: and how they bud you, they can't bleed you immediately.
21:42
Speaker 1: They have to bleed you over time to give you
21:45
Speaker 1: enough dopamine reward where you will willingly hand your money
21:47
Speaker 1: over to the right.
21:48
Speaker 2: And then the social media companies studied that dopamine cycle
21:52
Speaker 2: and integrated that into their technology to keep you hooked
21:56
Speaker 2: the way that a slot machine does, just very quickly.
21:59
Speaker 3: Because he's an interesting.
22:00
Speaker 2: Character, one of the guys who got called out here
22:02
Speaker 2: for insider trading on his race is this guy, Mark Moran.
22:05
Speaker 2: But you guys might have seen if you're too online.
22:07
Speaker 2: I don't think Sager saw this. He's pulled back. But
22:09
Speaker 2: I saw this, and I watched this video numerous times
22:11
Speaker 2: because it's very strange. So this guy was running as
22:14
Speaker 2: a Democrat, has a bunch of like sort of right
22:17
Speaker 2: wing views, decided to not be a Democrat anymore. Now
22:19
Speaker 2: he's running as an independent, and he put out this video.
22:25
Speaker 2: I think this was the video that announced his shift
22:27
Speaker 2: from Democrat to independent. In any case, this is one
22:30
Speaker 2: of the dudes who was called out here for insider trading.
22:33
Speaker 2: We'll watch this video and then on the other side,
22:35
Speaker 2: I'll show you what his response is here and you
22:36
Speaker 2: can decide whether or not you believe him or not.
22:38
Speaker 3: This is d five.
22:39
Speaker 5: Let's watch two hundred and fifty years ago, right here
22:41
Speaker 5: at Saint John's Church in Richmond, Virginia, Patrick Henry said,
22:45
Speaker 5: give me liberty or give me death.
22:47
Speaker 1: My name is Mark Moran.
22:49
Speaker 5: Two hundred and fifty years later, I'm saying the same thing.
22:52
Speaker 1: Today.
22:53
Speaker 5: I'm gonna announce that I'm breaking free from the Democratic establishment.
22:57
Speaker 5: Now I'm gonna run for the United States Senate as
22:59
Speaker 5: an independent. I'm doing that because I'm putting our country first.
23:03
Speaker 5: I'm putting it above these divisive issues that the left,
23:05
Speaker 5: that the right and our corporate media control. I want
23:08
Speaker 5: to talk about big, bold ideas that will save this country.
23:12
Speaker 5: We can't afford homes, we can't afford healthcare. We're dropping
23:16
Speaker 5: bombs on another country at the behest of another country.
23:21
Speaker 5: We're entirely controlled by corporate institutions. We make it so
23:26
Speaker 5: that when we take out a thirty year mortgage to
23:28
Speaker 5: buy a house, over fifty percent of what we pay
23:30
Speaker 5: over that thirty years it goes to the bank. We're
23:32
Speaker 5: ripping off the middle class with our tax code, that
23:35
Speaker 5: the elites who are controlling us get loopholes while we don't.
23:39
Speaker 5: We need to simplify everything in this government, but we
23:43
Speaker 5: need to fundamentally restructure and turn this around so that
23:46
Speaker 5: it works for the people. Everything is wrong, and it's
23:49
Speaker 5: because money controls. That is not the system that are
23:52
Speaker 5: founding fathers designed. And I'm here to say that.
23:55
Speaker 2: So in any case, I think mostly what people paid
23:58
Speaker 2: attention there is this weird hand movements and Sager. Since
24:01
Speaker 2: you were not privy to this online discourse, I will
24:03
Speaker 2: tell you some of my favorite analyzes of what he
24:06
Speaker 2: was like there. So someone who was like this is
24:08
Speaker 2: the longest anyone's been about to break into a Hamilton's
24:11
Speaker 2: style wrap actually breaking into it That was a good
24:15
Speaker 2: one I liked. Also, this is like, you know, like
24:17
Speaker 2: alien inhabiting human body and trying to act natural. Another
24:21
Speaker 2: one I liked was this is like the guy who
24:23
Speaker 2: got already got bit by the zombie but doesn't want
24:26
Speaker 2: to tell his friends yet.
24:26
Speaker 3: And is trying to act like cool.
24:28
Speaker 1: You don't want to kind of sympathize. We're on camera
24:30
Speaker 1: every day, right, so we're natural. It's weird being in
24:33
Speaker 1: front of a camp.
24:34
Speaker 6: Yeah, right.
24:34
Speaker 1: I sympathize a little bit. I've seen, you know, when
24:37
Speaker 1: normal people like have to like give a speech at
24:39
Speaker 1: a wedding or something.
24:40
Speaker 3: Yeah, I don't know what I'll do, so I have
24:42
Speaker 3: a little bit of that.
24:43
Speaker 2: Okay, Well, in any case, he says that this was
24:46
Speaker 2: all intentional. We can put this next piece up on
24:48
Speaker 2: the screen. So he posted this saying, in response to
24:52
Speaker 2: the Caushi insider trading allegations, finally one of the moments
24:56
Speaker 2: I've been waiting for. Yes, I did bet about one
24:58
Speaker 2: hundred dollars on myself on Calshi because I wanted to
25:02
Speaker 2: get caught. And what he bet on was that he
25:04
Speaker 2: himself would get into this race. So that's what he
25:08
Speaker 2: was betting on here. Which again in saying that you
25:09
Speaker 2: can bet on that.
25:10
Speaker 3: But whatever.
25:11
Speaker 2: So he says, after discovering potential manipulation on Polymarket in
25:14
Speaker 2: New York City mayoral Race, I realized how rife with
25:17
Speaker 2: corruption Calshi is.
25:18
Speaker 3: I mean, death markets come on.
25:20
Speaker 2: I wanted to see one if Calshi would come after me,
25:22
Speaker 2: and two what their path would be, also noting this
25:25
Speaker 2: is after Calshi had reached out to me for marketing
25:27
Speaker 2: partnerships on multiple occasions. I initially met with their compliance
25:31
Speaker 2: in February. Then their first offer was to have me
25:33
Speaker 2: pay a roughly eight hundred dollars fine, take year ban,
25:35
Speaker 2: and be compelled to make a public statement.
25:37
Speaker 3: He goes on.
25:38
Speaker 2: But basically the TLDR here is that he's claiming, Sager
25:41
Speaker 2: that he intentionally did this to draw attention to the
25:45
Speaker 2: problem of corruption and insider trading on Calshi and Polymarket.
25:51
Speaker 1: You believe him, maybe, I mean one hundred dollars, it's
25:55
Speaker 1: not that much to be most of you.
25:56
Speaker 3: I kind of do believe him, I think so.
25:58
Speaker 1: Originally I didn't believe him. Yeah, his explanation, I mean,
26:01
Speaker 1: is the trange just my personal assessment from the Yeah,
26:07
Speaker 1: something that's not exactly. Synapses are not firing all. One
26:11
Speaker 1: hundred percent, it did kind of work in terms of
26:14
Speaker 1: the attention that he's seeking. He is like some random
26:16
Speaker 1: independent candidate, right, so this is a way to go viral.
26:19
Speaker 1: So maybe it was that way. I don't know. I'm
26:21
Speaker 1: not sure I do one hundred percent. But the whole
26:23
Speaker 1: point is that they it took months to catch him,
26:26
Speaker 1: and there's no way that you could implement this immediately
26:30
Speaker 1: at the beginning for all of the trades. And this
26:34
Speaker 1: is just in terms of political insider It doesn't reflect
26:38
Speaker 1: at any in any way many of the other markets
26:40
Speaker 1: that exist on the website or on polymarket, where there's
26:44
Speaker 1: not nearly as much verifiable data. The only reason that
26:47
Speaker 1: this was able to be caught was because it's directly
26:49
Speaker 1: the candidates themselves. What about their consultants who they may
26:53
Speaker 1: have contracts with, or some you know, some other person tangentially,
26:56
Speaker 1: or their wife or their sister or the cousin, you know,
26:58
Speaker 1: like any of these tells people in the way they
27:00
Speaker 1: traditional insider trading takes place. So in general, I don't
27:03
Speaker 1: think it really proves anything in terms of enforcement.
27:05
Speaker 2: Cal she is democratizing insider trading, right, congratulations to them.
27:09
Speaker 1: Yeah, all right, Uh let's get to uh TMZ.
27:16
Speaker 2: So there is some big news here in d C.
27:19
Speaker 2: TMZ has officially set up shop. And when I heard that,
27:22
Speaker 2: I thought we should really be friends with these people.
27:25
Speaker 2: We're li going to be joined in studio this morning
27:27
Speaker 2: by Jacob Wasserman. He is the co managing editor of
27:31
Speaker 2: TMZ DC. So welcome to studio, the studio, and welcome
27:34
Speaker 2: to town.
27:34
Speaker 6: Thank you so much. It's such a treat to be here.
27:37
Speaker 7: I mean, you two have been such a foundation of
27:39
Speaker 7: my understanding of politics after watching you guys since rising.
27:43
Speaker 6: Wow, a big deal from I had no idea. Thank you.
27:46
Speaker 3: That's really cool here.
27:47
Speaker 2: Well, thank you, so just give us a little bit
27:49
Speaker 2: of a sense of like why TMC decided to open
27:51
Speaker 2: this DC bureau and what you guys's plans are.
27:53
Speaker 3: And what you've been up to.
27:54
Speaker 7: Well, first off, TMZ has been covering politics for years. Yeah,
27:57
Speaker 7: I think that's lost on a lot of people, Like
27:59
Speaker 7: we have a national television show called TMZ Live that
28:02
Speaker 7: routinely has big politicians coming on. I myself have covered
28:06
Speaker 7: numerous campaign cycles and I'm sure you saw the Lindsey
28:11
Speaker 7: Graham photos of.
28:14
Speaker 8: It.
28:14
Speaker 6: And also Robert Garcia.
28:16
Speaker 7: So this was all born by our fearless leader, Harvey Levin,
28:20
Speaker 7: who was calling out members of Congress for not passing
28:24
Speaker 7: VHS funding and told our audience like, hey, send us
28:27
Speaker 7: photos if you see members of Congress out and about
28:29
Speaker 7: during their recess. And our audience responded in a huge way.
28:33
Speaker 7: So we decided to kind of yeah, we decided to
28:36
Speaker 7: roll with the momentum. And now I'm here on Capitol
28:39
Speaker 7: Hills finding man.
28:40
Speaker 1: We like it. So some of the first things that
28:42
Speaker 1: you guys have been doing, you have a very good
28:44
Speaker 1: I always have TMC has for what's going to you know,
28:47
Speaker 1: what the public wants. You covered some of this feud
28:49
Speaker 1: with Tucker Carlson. So more recently, Tucker went on his
28:52
Speaker 1: show and issued an apology basically not just voting for Trump,
28:57
Speaker 1: but for advocating for Trump. Let's take a listen, and
28:59
Speaker 1: then we're going to take a look at what you
29:00
Speaker 1: got in terms of member of Congress reaction. Let's take
29:02
Speaker 1: a lesson.
29:03
Speaker 4: Looking back being because I mean you and I and
29:06
Speaker 4: everyone else who supported him. He wrote speeches forum, I
29:09
Speaker 4: campaigned for him, I mean were implicated in this for sure. Yes,
29:13
Speaker 4: it's not enough to say well I changed my mind,
29:16
Speaker 4: or like, oh this is bad. I'm out. It's like
29:20
Speaker 4: in very small ways, but in real ways, you and
29:23
Speaker 4: me and millions of people like us, or the reason
29:26
Speaker 4: this is happening right now. Yes, so I do think
29:30
Speaker 4: it's like a moment to wrestle with our own consciences.
29:36
Speaker 4: You know, we'll be tormented by it for a long time.
29:38
Speaker 4: I will be, And I want to say I'm sorry
29:41
Speaker 4: for misleading people. It was not intentional, That's all I say.
29:45
Speaker 4: But anyway, but the question does present himself immediately, like
29:49
Speaker 4: what is this? Was this always the plan? You don't
29:52
Speaker 4: want to be a conspiracy nut, but like, clearly there
29:54
Speaker 4: were signs of low character.
29:55
Speaker 1: We knew that. So that was very big and you
29:57
Speaker 1: got this reaction from Randy Fine. Let's take a list.
30:00
Speaker 6: Is Tucker Carlson.
30:02
Speaker 7: He's apologizing to his supporters and his fans, saying that,
30:06
Speaker 7: you know, he was a big reason why Donald Trump
30:08
Speaker 7: got elected and due to the Iran war. He's kind
30:11
Speaker 7: of reeling back and saying, hey, you know, I'm taking accountability.
30:15
Speaker 7: That's got to be a kind of a big blow
30:16
Speaker 7: to the Republican Party. Considering he's like if not the
30:19
Speaker 7: biggest influencer. You know, what do you make of all that?
30:22
Speaker 3: I think he was?
30:23
Speaker 8: I don't think he is anymore.
30:24
Speaker 1: Look.
30:25
Speaker 8: I called Tucker Carlson the most dangerous anti Summite in
30:27
Speaker 8: America last October, and I don't know that I would
30:31
Speaker 8: say that anymore.
30:32
Speaker 6: I think be careful, don't get Yeah. Yeah, I.
30:35
Speaker 8: Think he's lost so much credibility within the party.
30:38
Speaker 6: I wouldn't.
30:39
Speaker 8: I wouldn't make that statement that he's the most you
30:41
Speaker 8: know whatever.
30:42
Speaker 6: You've described him as the most dangerous.
30:44
Speaker 8: Anthe he was in December because he was espousing Anton's
30:49
Speaker 8: trading on a reputation that he created over all of
30:53
Speaker 8: his time in Fox News. My father was someone was
30:56
Speaker 8: that we're going to go this minute. My dad was
30:57
Speaker 8: someone who would hang up the phone with me when
31:01
Speaker 8: Tucker was on. He loved him, and you know, watching
31:05
Speaker 8: his sort of descent into the mental sickness that he
31:08
Speaker 8: has in Vera.
31:09
Speaker 6: Oh okay, well, clearly you're not a fan.
31:11
Speaker 1: No, all right, So that's what you got there, Jacob.
31:13
Speaker 1: So talk to us about how you guys choose stories
31:16
Speaker 1: like and what you decide so as I'm sure you've
31:18
Speaker 1: seen now there's hundreds of reporters on Capitol Hill. One
31:21
Speaker 1: of the fun things about Capitol Hill you can go
31:22
Speaker 1: stick an iPhone in everybody's face. How do you choose
31:25
Speaker 1: what to ask it for people?
31:26
Speaker 6: Well, there's not much of a science to it.
31:29
Speaker 7: We just are paying attention to what's online and seeing
31:32
Speaker 7: what the big stories are. That day, it was Tucker
31:34
Speaker 7: Carlson going against Trump, so we're going to ask someone
31:37
Speaker 7: about it.
31:37
Speaker 6: And I mean that's where I think TMZ really fits in.
31:40
Speaker 7: Well here to your point, Like, as I've been on
31:42
Speaker 7: Capitol Hill now for a week, I see two groups
31:44
Speaker 7: of people. I see traditional media and I see TikTokers,
31:48
Speaker 7: and I think we're right perfectly in between because we
31:51
Speaker 7: have a really good understanding of social media and how
31:54
Speaker 7: to connect with people online. And we also pride ourselves
31:57
Speaker 7: on fact checking and I think, and handling ourselves like journalists.
32:01
Speaker 6: So in this case, I saw Randy Fine.
32:03
Speaker 7: I knew his beef with Tucker Carlson, so it was
32:06
Speaker 7: just a natural fit.
32:07
Speaker 1: Yes, yeah, have.
32:08
Speaker 2: You studied up on like, because I feel like some
32:11
Speaker 2: of these characters I would recognize, but not all of them.
32:13
Speaker 2: In fact, I'm not even sure I would have recognized
32:14
Speaker 2: Ready Fine he's got the beard going clearly, you know,
32:17
Speaker 2: on some sort of weight loss regimen from his peak.
32:20
Speaker 2: So have you like studied up do you have like
32:23
Speaker 2: a Facebook that you're trying to memorize?
32:24
Speaker 7: Well to your point, I mean, my colleague Charlie caught
32:27
Speaker 7: and he actually printed out full sheets of our ones faces.
32:32
Speaker 7: So we do look through it because we're just getting
32:34
Speaker 7: our feet wet here. I moved to DC. I actually
32:37
Speaker 7: don't even have a place here yet. I'm living in
32:39
Speaker 7: an airbnb, so it's all very new. And yeah, we
32:41
Speaker 7: want to get familiar with everyone. Of course, we're going
32:44
Speaker 7: to talk to the big names, but we want to
32:46
Speaker 7: get to know all three hundred plus people in Congress.
32:49
Speaker 1: So I do want to ask you. There was some speculation.
32:52
Speaker 1: I know TMZ has paid for stories in the past.
32:54
Speaker 1: Is that still a practice that you guys are going
32:56
Speaker 1: to employ here?
32:56
Speaker 6: And well, no, and I'm happy you brought that up.
33:00
Speaker 6: That's not a practice.
33:01
Speaker 7: We pay for photos and we pay for videos in
33:04
Speaker 7: the same way that other news outlets do do too.
33:06
Speaker 7: It's like if you're a news channel and you throw
33:08
Speaker 7: up a getty photo, that's not free, right, you know
33:11
Speaker 7: you pay for that.
33:12
Speaker 2: Ok.
33:13
Speaker 7: So yeah, we pay for footage, but we do not
33:15
Speaker 7: pay for information. I mean, we dog stories. That's how
33:18
Speaker 7: TMZ works. And we have an incredible office Los Angeles
33:22
Speaker 7: full of reporters, you know, Harvey Levin, who we just
33:25
Speaker 7: get on the phone and we bang out calls. We
33:28
Speaker 7: do foyer requests, We do all the things that I
33:30
Speaker 7: think good journalists do. And I just think unfortunately people
33:34
Speaker 7: try to sometimes like discredit us.
33:36
Speaker 1: No, no, I don't no, yeah, yeah you yeah.
33:38
Speaker 7: I see it in the ether too. Sure, So yeah,
33:41
Speaker 7: we definitely do not pay for information, and we are
33:44
Speaker 7: one hundred percent not.
33:45
Speaker 6: Doing that here, got it.
33:46
Speaker 2: Well. One of the things to your point that I
33:48
Speaker 2: think is different is you've always had, you know, people
33:50
Speaker 2: on Capitol Hill trying to chase down representatives because you can,
33:53
Speaker 2: right they have to come in and out of their offices.
33:55
Speaker 2: There's an opportunity there. The office buildings are open to
33:58
Speaker 2: the public, so you can just come in. But we
34:00
Speaker 2: haven't had a lot of outlets that are in independent media,
34:04
Speaker 2: which you guys aren't exactly, but that have that connectivity
34:07
Speaker 2: to what people are actually talking about online, and so
34:10
Speaker 2: war of that grassros feel and our you know, colleagues
34:13
Speaker 2: and friends over at drop Site News they now have
34:16
Speaker 2: someone on Capitol Hill, and it's so different the questions
34:19
Speaker 2: that he's going to ask an AOC or who he
34:22
Speaker 2: encounters versus what the mainstream press would be asking them.
34:26
Speaker 2: I think that's part of what you guys could really
34:28
Speaker 2: you know, will really be in a position to exploit definitely.
34:31
Speaker 7: And I think like what we're just trying to do
34:33
Speaker 7: is pull back the curtain on DC and that can
34:36
Speaker 7: be found in a variety of ways. Like we're asking
34:38
Speaker 7: people sometimes it could be funny, we can keep it light,
34:41
Speaker 7: we can keep it pop culture, and now we can
34:43
Speaker 7: also be straight shooters. I think TMZ is a personality
34:48
Speaker 7: and it's like it could be funny and it can
34:49
Speaker 7: also be really serious too. So that's kind of the
34:52
Speaker 7: balance that we're trying to find. And I think it's
34:55
Speaker 7: a great opportunity for people on the Hill who want
34:57
Speaker 7: to show off their personality. And I mean, isn't the
34:59
Speaker 7: point to politics or not the point, but part of
35:02
Speaker 7: it to show like you could get a beer with.
35:04
Speaker 6: Someone like that with the saying that actually no exactly.
35:10
Speaker 7: What a great opportunity for people to kind of, you know,
35:13
Speaker 7: shoot the ship with us and uh again, serious issues,
35:17
Speaker 7: fun issues.
35:18
Speaker 2: And the reception been from most members it's been mostly
35:20
Speaker 2: like run away from.
35:21
Speaker 6: You are they absolutely not.
35:23
Speaker 7: It's actually been incredible and we're yeah, and we're working
35:27
Speaker 7: with people on both sides of the aisle. I mean,
35:29
Speaker 7: that's what's really important to us is we are a
35:31
Speaker 7: nonpartisan and we've seen a huge reception from politicians. Politicians
35:36
Speaker 7: are actually like, yeah, they're they're happy to see us.
35:38
Speaker 7: Sometimes it's like the staff that's like a little bit tougher,
35:42
Speaker 7: but they've been great. People are usually pretty chill, at
35:45
Speaker 7: least personally.
35:47
Speaker 2: Yeah, we'll see.
35:49
Speaker 1: Yeah, what's the press, Corbin, Like, how have they treated you?
35:53
Speaker 6: Cool?
35:54
Speaker 7: You actually just mentioned that guy from drop site News
35:56
Speaker 7: like I met yesterday. He's great, like super nice guy,
36:00
Speaker 7: and people in general have been really nice and encouraging.
36:03
Speaker 6: Yeah.
36:04
Speaker 1: Yeah, any any scoops anything you're working on.
36:06
Speaker 7: What do you got, Well, we're definitely working on scoops.
36:09
Speaker 7: I know you people know us maybe for the clips
36:11
Speaker 7: that you see when we're on the hill, but that's
36:13
Speaker 7: only a fraction of what we're doing. We're definitely here
36:16
Speaker 7: to work on tips and to compete. We did a
36:19
Speaker 7: story yesterday a very sensitive one. I mean I had
36:22
Speaker 7: to do with Max Miller and his ongoing custody battle
36:26
Speaker 7: with his wife involving an injured child. And I mean
36:29
Speaker 7: that's as serious as it gets. But her wife is
36:32
Speaker 7: the daughter of a senator.
36:34
Speaker 6: It's yea Bernie Moraine and it's daughter.
36:36
Speaker 7: Yeah, so so again like and then on the flip side,
36:39
Speaker 7: like you'll see us talking to Shamari figures about like
36:43
Speaker 7: the basketball game between members of Congress.
36:46
Speaker 6: So that's what I'm saying.
36:47
Speaker 7: We're a there's a spectrum and we can really play
36:52
Speaker 7: in both sides of the field.
36:53
Speaker 2: Yet I think there's a lot to be exposed. Yeah,
36:56
Speaker 2: welcome you to town. We're excited to see what you
36:59
Speaker 2: are able to turn up.
37:00
Speaker 7: Yeah yeah, I mean listen, contact me on Twitter at
37:03
Speaker 7: Jacob wasss. You know, you can also just email me
37:07
Speaker 7: at Jacob dot Wasserman at TMZ dot com. I want
37:10
Speaker 7: to talk to everyone.
37:11
Speaker 1: Great, excited. There's a lot of Congression staff that listen
37:13
Speaker 1: to this, so everybody take them up on it. All right,
37:15
Speaker 1: contact Jacob. We're happy to have a lifeliner t TMZ.
37:18
Speaker 6: Yeah, thank you for having you on the show. Thank
37:20
Speaker 6: you very much.
37:21
Speaker 1: Thank you guys, so much for watching. We appreciate it.
37:23
Speaker 1: We'll see you all later.