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Speaker 1: You're listening to a podcast from news talks it B.

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Speaker 1: Follow this and our wide range of podcasts now on iHeartRadio.

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Speaker 1: It's time from all the Attitude, all the opinion, all

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Speaker 1: the information, all the debates of Now the Layton Smith

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Speaker 1: Podcast powered by news talks it B.

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Speaker 2: Welcome to Podcasts three hundred and ten for November twelve,

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Speaker 2: twenty twenty five. I mean quote you a headline that's

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Speaker 2: a few weeks old. The world is changing more rapidly

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Speaker 2: than anyone could have imagined a few months ago. The

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Speaker 2: following article was written by Elwin de Grut, who is

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Speaker 2: head of macro Strategy at Rubbobank. Now, while it's a

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Speaker 2: bank and it deals mostly with financial issues, this particular

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Speaker 2: approach reflects what else is going on in the world.

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Speaker 2: All of these things are not necessarily attached, but neither

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Speaker 2: are they necessarily unattached. But before we dive into that,

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Speaker 2: let me be a little more positive, No, let me

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Speaker 2: be a lot more positive and tell you about Stephen Rowe,

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Speaker 2: well just a little bit more than you might allready know.

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Speaker 2: And I want to start at the back end of

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Speaker 2: his career, and by that I mean this year in

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Speaker 2: January of twenty five, I joined the Cato Institute as

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Speaker 2: the program director of CATO Courses, a digital learning platform

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Speaker 2: for students and young leaders interested in individual liberty, free markets,

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Speaker 2: limited government, and peace. Let me repeat that, individual liberty,

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Speaker 2: free markets, limited government, and peace. I'm inclined to sign

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Speaker 2: up myself. Do we have anything like that available in

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Speaker 2: this country? Not that I'm aware of anyway. The platform

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Speaker 2: is now publicly available and growing fast. Beyond his work

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Speaker 2: at CATO, He's passionate about how artificial intelligence is reshaping

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Speaker 2: human condition, online content and education. Outside of work, I

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Speaker 2: believe in living fully and I saw somewhere that is

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Speaker 2: my motto is something along the lines of play hard

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Speaker 2: and work harder. The sixty minutes or so that we

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Speaker 2: spent discussing all sorts of things is I think just

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Speaker 2: great listening now back to where I was before I

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Speaker 2: mentioned Stephen Rowe. This morning I received this in the email.

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Speaker 2: Brian Roche is looking like a fool every minute creepy

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Speaker 2: Costa remains on the public tip. The Taxpayers Union is

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Speaker 2: calling for Public Service Commissioner Bryan Roche to immediately sack

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Speaker 2: the Social Investment Agencies CEO Andrew Coster and rule out

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Speaker 2: a golden handshake or exit payout. This follows revelations that

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Speaker 2: the former police commissioner lacks integrity and lacks leadership. According

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Speaker 2: to current Police Commissioner Richard Chambers, Costa is currently on

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Speaker 2: garden leave as CEO of the Social Investment Agency at

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Speaker 2: receiving full pay, Jordan Williams said from the Taxpayers Union,

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Speaker 2: spokesman Jordan Williams said, every hour Costa remains on the

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Speaker 2: public payroll is a disgrace. Now I'm working on the

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Speaker 2: assumption that everyone is familiar with this particular case. The

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Speaker 2: Taxpayer Union's missive goes on he's on similar pay to

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Speaker 2: the Prime Minister, despite being exposed as totally unfit for leadership.

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Speaker 2: The public service is treating taxpayers like fools, and Brian

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Speaker 2: Rose is letting it happen under Costa's watch. This is

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Speaker 2: for those who don't know a victim was charged with

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Speaker 2: harassment while a secret protocol was implemented to hide information

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Speaker 2: from the Police Minister. The IPCA even say that the

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Speaker 2: then Commissioner Costa attempted to influence the nature and extent

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Speaker 2: of their investigation. These are not technical slip ups. They

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Speaker 2: are serious abuses of trust. Yet, rather than being shown

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Speaker 2: the door. Cost continues to enjoy full pay on garden leave.

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Speaker 2: It's a slap in the face to victims. Now there

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Speaker 2: is one more little paragraph that I was going to

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Speaker 2: and I was going to say something myself on this

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Speaker 2: this morning, even before I read this. But as we

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Speaker 2: seem to be of one, let me just quote this.

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Speaker 2: This is exactly what's wrong with New Zealand's bloated and

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Speaker 2: unaccountable bureaucracy. When ordinary kiwis fail at their jobs, they

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Speaker 2: get marched out the door. When top bureaucrats fail even spectacularly,

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Speaker 2: they get months of paid leave and more often than not,

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Speaker 2: a payout. Roche needs to front up to the media

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Speaker 2: this morning at a short taxpayers that there will be

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Speaker 2: no payout, no golden goodbye, and no soft landing for

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Speaker 2: Costa that costs taxpayers. Now let me turn attention to

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Speaker 2: the media, the BBC in particular, then the ABC in Australia,

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Speaker 2: and of course government funded TV and radio in New Zealand.

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Speaker 2: Propagandists all it's just a matter of degree. Europe's public

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Speaker 2: broadcasters were created to stop propaganda born in the wreckage

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Speaker 2: of war, to protect democracy from lies. They now preach

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Speaker 2: soft sanctumonious state approved truths. The resignations at the BBC

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Speaker 2: this week are only the latest symptom of decay across

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Speaker 2: the European media landscape. The model built to keep power

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Speaker 2: in check now serves it. There's a much deeper story

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Speaker 2: to this particular issue. And to hear or read in

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Speaker 2: other parts of the media that the BBC people are

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Speaker 2: saying we are great, we are trusted, we are well,

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Speaker 2: we're heroes is just BBCBS now across the Tasman of course,

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Speaker 2: with Australia and the ABC, if you're not familiar with

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Speaker 2: it or how it's run, or how much money they

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Speaker 2: get from the taxpayer, and how disgusting they are on

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Speaker 2: so many fronts that I haven't got time now to

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Speaker 2: tell you, but I'm happy to share it in another stage.

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Speaker 2: And then there is another issue, and that involves the

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Speaker 2: British forces only want to utilize on one newspiece. A

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Speaker 2: former Commander in chief has warned soldiers will leave the

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Speaker 2: British Army in retaliation against application of human rights laws

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Speaker 2: which are said to stifle operations. It was revealed Monday

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Speaker 2: that nine four star generals who signed an open letter

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Speaker 2: to the Prime Minister to coincide with Armistice Day, warned

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Speaker 2: that soldiers trust in the legal system has deteriorated so

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Speaker 2: baily that it now risks everything. One of the document's signatories,

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Speaker 2: Sir Nick Parker, lamented over how the human rights laws

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Speaker 2: have hindered soldiers work. The group claimed that deterioration of

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Speaker 2: trust is a direct threat to national security, reiterating Sir

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Speaker 2: Nick's belief that it has sparked an exodus from the

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Speaker 2: special Forces. The group claimed the deterioration of trust is

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Speaker 2: a direct threat to national security. In the damning open letter,

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Speaker 2: which has been published by The Times, the nine four

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Speaker 2: star generals said today every British soldier deployed must consider

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Speaker 2: not only the enemy in front of them, but the

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Speaker 2: lawyer behind them. Make no mistake, our closest allies are

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Speaker 2: watching uneasily, and our enemies will be rubbing their hands.

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Speaker 2: The army chiefs have also claimed that the dwindling confidence

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Speaker 2: has been spurred by the rise of lawfare. Is that

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Speaker 2: word again, which they explain as the use of legal

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Speaker 2: processes to fight political or ideological battles, And that will suffice.

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Speaker 2: But next week there will be more on this because

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Speaker 2: it it fits the format that's upcoming. But in a

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Speaker 2: moment we lift the vibes and talk with Stephen Rowe

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Speaker 2: and you'll enjoy it. Levericks is an antihistamy made in

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Speaker 2: Switzerland to the highest quality. Leverix relieves hay fever in skin,

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Speaker 2: allergies or itchy skin. It's a dual action antihistamine and

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Speaker 2: has a unique nasal decongestent action. It's fast acting for

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Speaker 2: fast relief, and it works in under an hour and

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Speaker 2: lasts for over twenty four hours. Leverrix is a tiny

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Speaker 2: tablet that unblocks the nose, deals with itchy eyes, and

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Speaker 2: stops sneezing. Leverrix is an antihistamine made in Switzerland to

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Speaker 2: the highest quantity. So next time you're in need of

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Speaker 2: an effective antihistamine, call into the pharmacy and ask for

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Speaker 2: Leverrix lv Rix levrix and always read the label. Take

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Speaker 2: as directed, and if symptoms persist, see your health professional.

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Speaker 2: Farmer Broker Auckland. Now, the name Stephen row might not

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Speaker 2: mean much to you at this particular point of time.

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Speaker 2: The aim of the next sixty minutes or so is

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Speaker 2: to change all that. Stephen Rowe is a very interesting man.

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Speaker 2: He has a history that involves Charlie Kirk. He's currently

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Speaker 2: involved very heavily in AI and he's a very good

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Speaker 2: commentator on American politics. And I can't think apart from

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Speaker 2: last year's election, I can't think of a more and

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Speaker 2: I want to say exciting time, a more challenging time

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Speaker 2: in American politics than right now. Stephen, Welcome to the podcast.

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Speaker 2: Great to have you here.

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Speaker 3: It's an honor to be here. Thank you so much.

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Speaker 2: You're only about the third person to do a live

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Speaker 2: in office or studio that I've done. Well.

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Speaker 3: I love it.

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Speaker 4: I'm able to see how the magic works, and this

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Speaker 4: is an amazing studio. It's an honor to be a

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Speaker 4: guest here. Thank you so much. I know that you

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Speaker 4: were born in Montana, the Treasure State. Yes, it's a

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Speaker 4: very simple question. Why did you leave? Yeah, honestly, I

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Speaker 4: wish I didn't, But unfortunately, the way the world works

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Speaker 4: is you have to eventually depart where you're from in

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Speaker 4: a lot of ways to kind of see the rest

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Speaker 4: of the world. And one of the books that inspired me,

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Speaker 4: speaking of books, was one called The Great Gatsby, and

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Speaker 4: it shares the story. Most people know about it pretty

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Speaker 4: well but shares the story of a man from the

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Speaker 4: Dakota's I believe South Dakota in the novel, and leaves

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Speaker 4: to the big city and make something of himself. I've

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Speaker 4: chosen a more legal path, thankfully, and not the bootlegging,

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Speaker 4: illegal path of Jay Gatsby. But yeah, Montana is incredibly special,

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Speaker 4: incredibly beautiful. But unfortunately if you want to kind of

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Speaker 4: make a name for yourself and kind of grow that career,

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Speaker 4: sadly it was time to depart. But I would love to, yeah,

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Speaker 4: start by sharing that time. And Montana is a special

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Speaker 4: one because I grew up in Billings, Montana, which is

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Speaker 4: the biggest city in the state of Montana. And for context,

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Speaker 4: Montana's not really that big. There's about a million people

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Speaker 4: in the entire state, but it's the size of Germany,

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Speaker 4: actually six percent larger than the country of Germany by

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Speaker 4: land mass. Eighty two million people live in Germany and

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Speaker 4: only one million live in the state of Montana. So

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Speaker 4: similar to New Zealand, lots of land, very few people,

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Speaker 4: and just truly special because you can go outside and

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Speaker 4: explore well.

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Speaker 2: I wouldn't be surprised if there were a few Germans

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Speaker 2: looking to move to Montana. I believe that ye at

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Speaker 2: this at this time, you had an involvement with Charlie Kirk.

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Speaker 2: Let's concentrate on Charlie Kirk for a little while, because

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Speaker 2: he was, as far as I was concerned, not well

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Speaker 2: known in this part of the world. And it all

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Speaker 2: depends on what engauging is, of course, but I was

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Speaker 2: stunned to find out how many young people had attached

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Speaker 2: themselves to Charlie Kirk and were literally crying the day

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Speaker 2: that he was assassinated.

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Speaker 4: Yeah, young and old, but the amount of young people

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Speaker 4: that he touched, I mean, it was truly profound, because

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Speaker 4: he was everywhere all across this country, and I was

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Speaker 4: lucky enough to meet him in the great state of Montana.

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Speaker 4: And so what happened was I was working for the

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Speaker 4: governor of Montana. Now his name's Greg Gianforte, and before

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Speaker 4: then he was just raising his political profile, beginning to

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Speaker 4: enter the world of politics. I'd begun working as a

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Speaker 4: social media coordinator for him. And it was a tremendous

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Speaker 4: opportunity in college to be able to work for someone

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Speaker 4: so great, I mean, just for on Greg for two seconds.

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Speaker 4: Here he has his fifth company, Exit right Now Technology

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Speaker 4: sold to Oracle for one point eight billion dollars and

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Speaker 4: that was his fifth exit as a company. And so

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Speaker 4: imagine being a college student being able to work with

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Speaker 4: a tremendous entrepreneur who was really fantastic. And so Greg

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Speaker 4: invites me over to dinner and says, you have to

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Speaker 4: meet this kid, and this kid's going to change the world.

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Speaker 4: And so I head over to Greg's house and it

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Speaker 4: was much different than the first time.

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Speaker 3: I remember.

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Speaker 4: The first time went to Greg's house, I didn't look

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Speaker 4: him up before I went over, and you know, you

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Speaker 4: really messed up when you look people up when you're

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Speaker 4: supposed to look people up before you go. When you

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Speaker 4: press the call box and it's a security person's voice,

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Speaker 4: it's not Greg's voice. You know, A beautiful eight opens

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Speaker 4: into this wonderful, wonderful road overlooking a beautiful home just

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Speaker 4: in front of the bridge or Mountain Range and Bozeman, Montana.

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Speaker 4: But the second or third time I went over to

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Speaker 4: Greg's house, Charlie Kirk was there, and so I sat

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Speaker 4: down for dinner, really got a chance to meet him

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Speaker 4: and get to understand what he was trying to do.

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Speaker 4: He was beginning the opportunity that was Turning Point USA,

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Speaker 4: and Greg was an early donor. Wanted to see Turning

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Speaker 4: Point expand into the state of Montana and thought I

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Speaker 4: was well equipped to start a chapter at Montana State University.

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Speaker 4: You know, when I was going through college, there was

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Speaker 4: not a lot of political opportunity for college students. You

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Speaker 4: had the College Republicans and the College Democrats in America,

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Speaker 4: just a two party political system, and you know, people

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Speaker 4: have more views than two parties would have you believe.

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Speaker 4: But yeah, basically I was part of the College Republicans

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Speaker 4: at the time, and they gave me koozies and beer

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Speaker 4: pong balls, and you know, that's really great if you

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Speaker 4: want to, you know, hang out with your mates and

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Speaker 4: you know, celebrate with libation. But I wanted to do activism.

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Speaker 4: I wanted to move the needle. I wanted to make

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Speaker 4: a difference. And so when Charlie came over to Montana

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Speaker 4: and I met him at Greg's home, it was so

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Speaker 4: encouraging to hear that he wanted to do activism. He said,

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Speaker 4: how about every week we do some major activism on

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Speaker 4: the college campus of Montana State University, where one week

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Speaker 4: we have a National Debt cake where you can hand

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Speaker 4: out slices of the national debt. Another week, we'll have

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Speaker 4: a giant free speech ball where people can sign whatever

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Speaker 4: they want and literally write whatever they want on this ball,

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Speaker 4: but do true activism to encourage the ideals of what

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Speaker 4: we were trying to profess. Ideas of freedom, ideas of liberty,

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Speaker 4: limited government, and free speech are the big ones, and

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Speaker 4: free markets and free minds.

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Speaker 3: But yeah, I drank the kool aid, so to speak.

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Speaker 3: I loved it, and so I'm like, yes.

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Speaker 4: I started the chapter at Montana State University, and then

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Speaker 4: when I graduated, I was lucky enough to join Turning

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Speaker 4: Point USA full time as their third employee at headquarters.

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Speaker 4: And it was a tremendous blessing and tremendous honor. But

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Speaker 4: Charlie was one of those people that worked harder than

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Speaker 4: everybody else in the room.

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Speaker 3: He had very few vices.

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Speaker 4: He didn't drink, he didn't smoke, and in fact, I

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Speaker 4: remember so many times when he was emailing me or

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Speaker 4: texting me late into the evening. It'd be twelve one am,

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Speaker 4: twelve am, one am in the morning, and then I'd

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Speaker 4: still get more emails and calls at six o'clock in

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Speaker 4: the morning and I'm like Charlie, when do you sleep?

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Speaker 4: But this man was so dedicated to growing Turning Point

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Speaker 4: USA and reaching people. I always made the joke that

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Speaker 4: he lived on American airlines. He didn't have a home

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Speaker 4: because he would just go from place to place, meeting

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Speaker 4: donors and students across the country.

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Speaker 2: That's expensive. Rent I just got back with it because

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Speaker 2: I'm interested in that. When you started the champter at university,

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Speaker 2: what sort of response did you get?

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Speaker 4: Yeah, I got a tremendously positive response, and the chapter

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Speaker 4: grew extremely quickly. And that was with the help of

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Speaker 4: other people too, which was awesome. But and this chapter

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Speaker 4: still exists today, So that's how you know it's something

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Speaker 4: that really was going to stick. But again, most people

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Speaker 4: didn't get exposure to a conservative message on a college

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Speaker 4: campus libertarian message on a college campus. If you think

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Speaker 4: about your traditional administrator or professor or even classmate in

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Speaker 4: a public university system in America, you're going to find

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Speaker 4: someone who tends to be a little more on the left,

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Speaker 4: a little bit more progressive things of that nature, and

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Speaker 4: very little exposure to the ideas of the right. And

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Speaker 4: so when you go into a college campus and you're

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Speaker 4: sharing ideas that most people haven't been exposed to before.

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Speaker 2: It's quite exciting, right, this is this is this is

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Speaker 2: important because you don't get exposed to such things. What

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Speaker 2: when you were at university, what did you get exposed to? Yeah?

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Speaker 4: I mean I got exposed to, you know, things such

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Speaker 4: as the broken glass fallacy. You know, Kenzian economics, so

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Speaker 4: to speak. That's what I learned about economics classes. When

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Speaker 4: I was in my political science classes, I learned you know,

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Speaker 4: Rospierre and Fouco and you know, these political thinkers of

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Speaker 4: the past that tended to be French. I feel like

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Speaker 4: the French philosophers dominate the political discourse of most POLYPSI classes,

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Speaker 4: political science courses. And again, there was no Milton Friedman,

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Speaker 4: there was no Thomas soul There was no Adam Smith

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Speaker 4: or you know, Frederick Bostia.

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Speaker 2: Did you have Roskbin No?

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Speaker 3: Oh, all the time. I was a rebel rouser in college.

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Speaker 2: So what did you get? Yeah?

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Speaker 4: So I got, first of all, not the best greats.

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Speaker 4: When you try and go against the grain, it's unfortunately

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Speaker 4: met with a lot of malice and a lot of hostility. Again,

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Speaker 4: I think sometimes the inherent nature of humanity is to

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Speaker 4: kind of go with the pack. Right, there's that old

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Speaker 4: expression that people are sheeple, right, they just want to

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Speaker 4: kind of go along with the grain, you know, they

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Speaker 4: don't want to go against the grain and basically keep

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Speaker 4: their head down. And I decided to stand up. And

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Speaker 4: in a lot of ways, people didn't have a lot

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Speaker 4: of good attack vectors for a black conservative on a

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Speaker 4: college campus. I've later become more libertarian in my thoughts

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Speaker 4: and ideas, but at the time, basically the main hurl

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Speaker 4: that i'l tur at you is that you're a racist.

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Speaker 4: So what do they say to me when this black

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Speaker 4: conservative was on a college campus talking about the ideas

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Speaker 4: of capitalism being the greatest economic system that's raised more

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Speaker 4: people out of poverty than anything else in the world.

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Speaker 4: I mean, they didn't have a lot and so it

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Speaker 4: was quite shocking and I think really challenged and tested

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Speaker 4: some people as they tried to combat and debate me.

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Speaker 4: But I was a rebel rouser that was always raising

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Speaker 4: my hand in class and not afraid to share my thoughts.

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Speaker 2: So you're the one that raised rice, So you're not

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Speaker 2: one hundred percent You've got other bloodline in you.

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Speaker 3: Yeah, Yeah, I'm a double minority, as they say.

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Speaker 4: So I'm Panamanian, which is coming from the country of Panama,

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Speaker 4: which is Central America originally Africa, but my family most

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Speaker 4: recently was in Panama. My grandfather immigrated here legally, and

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Speaker 4: when he was able to do that, he brought his wife,

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Speaker 4: my grandmother, and four children into America. My father, at

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Speaker 4: the age of twelve, his first language was Spanish, came

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Speaker 4: into this beautiful country. On the opposite side, my mom

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Speaker 4: is a full blood Rosebud Sue Native American, and so

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Speaker 4: there's kind of three levels there. The first level is Sue,

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Speaker 4: which is the largest encompassing Native American tribe. Then from

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Speaker 4: there it's Lakota, which is kind of the region. So

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Speaker 4: think like Sue as a country, and then Lakota as

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Speaker 4: a state, and then your city is Rosebud, And so

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Speaker 4: I'm a Rosebud Lakota Sioue. On my mom's side, she's

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Speaker 4: a full blood Native American and she was adopted at

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Speaker 4: childbirth by a Norwegian family who owned a farm in Montana.

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Speaker 4: And only in America do you find these two people

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Speaker 4: trying to meet. Rosebud Sue Native American and a black

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Speaker 4: Panamanian met in New York and had me and produced

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Speaker 4: a back red yeah, of some sort. But the world

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Speaker 4: sees me as black, So that's why identify as black.

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Speaker 4: But I'm always happy. I'm proud of my Native American heritage.

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Speaker 4: I have eagle feathers in my home and dream catchers

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Speaker 4: and things of that nature.

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Speaker 3: If it'd been victimized, oh very much. So yeah, one

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Speaker 3: hundred percent.

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Speaker 4: If you look up my father's name, Aldo Row, You're

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Speaker 4: going to see an article from the Billings Gazette of

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Speaker 4: swastika is drawn on my home. And this was when

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Speaker 4: I was in seventh grade. I came home to a

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Speaker 4: whole bunch of graffiti go home and words. I just

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Speaker 4: don't want to use the word on the internet, but yeah,

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Speaker 4: I mean a lot of abrasiveness, for sure, and it

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Speaker 4: really hardens you quick. So I guess when you're being

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Speaker 4: confronted with that in seventh grade, you know, someone's saying

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Speaker 4: mean things to you in a college campus, isn't that

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Speaker 4: scary anymore? And so maybe that's why I built a

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Speaker 4: little bit more of a tougher skin, because I've had

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Speaker 4: to go through it quite frankly, you know, being black

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Speaker 4: at a place where there's not very many people.

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Speaker 2: Well, we could discuss for the next half hour raising children.

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Speaker 3: Yeah, to be tough, Yeah, totally.

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Speaker 2: I think it's not what we want because we know

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Speaker 2: what we're talking. We know what we mean, Yes, very much,

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Speaker 2: and so does everybody. There just isn't there isn't enough

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Speaker 2: of it.

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Speaker 3: True.

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Speaker 2: When you mentioned swastiggers, I immediately thought of Jews in Israel. Yeah,

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Speaker 2: now we will get on to New York. It's not

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Speaker 2: mintent at this point, but it'll go where it goes.

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Speaker 2: So I'm wondering where you stand on Israel. Sure, yeah,

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Speaker 2: and anti Semitism totally. Well, I think anti Semitism has

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Speaker 2: no place in America or in civil discourse. There's a

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Speaker 2: difference between disagreeing with somebody and being racist to somebody,

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Speaker 2: and I think civil discourse is immensely important first and foremost.

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Speaker 2: And so do I think Israel is perfect and has

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Speaker 2: never committed any sin? No, definitely not, And I think

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Speaker 2: that is important. But at the same time, do I

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Speaker 2: think that anti Semitism has been a pervasive problem not

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Speaker 2: only in America but for the past what three thousand years?

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Speaker 3: The answer is yeah, one hundred percent.

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Speaker 4: And so yeah, I'm lucky enough to have been to

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Speaker 4: Israel a few times, and I've been really impressed by

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Speaker 4: the people. I've been very impressed by the faith. And

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Speaker 4: I'm a Christian myself. I'm a Catholic person, and so

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Speaker 4: we are taught in our readings and in our scripture

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Speaker 4: that they are special people. At least that's what Saint

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Speaker 4: Thomas Aquinas has said about them. And so, yeah, I'm

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Speaker 4: pro Israel, but I don't give them a blank check.

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Speaker 4: At the same time. For example, something recently that happened

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Speaker 4: was we had the ceasefire agreement with Gaza and Israel,

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Speaker 4: and Israel then proceeded to bomb a whole bunch of

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Speaker 4: people in Gaza. I think that's incorrect. I think that's

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Speaker 4: a poor choice. I'm very pro President Trump in a

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Speaker 4: lot of regards regarding the ceasefire. I think, blessed are

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Speaker 4: the peace makers, and it's time for peace. And I

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Speaker 4: think at this point there should be a full ceasefire

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Speaker 4: and effect, and Israel should not break that ceasefire at all.

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Speaker 2: Trump is a terrible person, but a great president. Yes, agree,

404
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Speaker 2: will disagree.

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Speaker 4: You know, if you talk to me about his character,

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Speaker 4: you know, I'd want my kids to have a different character.

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Speaker 4: But yeah, in terms of policy, He's been a profound

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Speaker 4: president who's done incredible things for this country, and there's

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Speaker 4: so many positives about his administration. Again, it's not perfect,

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Speaker 4: but I'm a very happy person to say I support

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Speaker 4: Donald Trump.

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Speaker 3: Yeah, one hundred percent in your rage group?

413
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Speaker 2: Are they many?

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Speaker 3: You know?

415
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Speaker 4: I will say it thanks to efforts from Charlie Kirk

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Speaker 4: and others, I'd say there's more than ever before. But no,

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Speaker 4: it's a minority for sure. I think that the average

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Speaker 4: college student tends to be on the left, tends to

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Speaker 4: be even more progressive. They support people like Alexandria Acacio Cortes,

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Speaker 4: AOC and Zorhan Momdanni, They have Ernie Sanders, have incredibly

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Speaker 4: powerful youth divisions, And if you just flipped a coin,

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Speaker 4: I would say that, you know, most people would tend

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Speaker 4: to be more on the left than the right, but

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Speaker 4: even more in terms of percentages, it's probably in like

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Speaker 4: the seventies percentages of people that tend to be more

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Speaker 4: on the left or at least center left, and then

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Speaker 4: in even larger cohort of people in that that are

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Speaker 4: progressive and outright communist and socialist as well. And so

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Speaker 4: it's not popular to be conservative on a college campus,

430
00:23:35,093 --> 00:23:35,973
Speaker 4: that's for sure.

431
00:23:36,173 --> 00:23:39,133
Speaker 2: All right. We started this chapter on Charlie Kirk and

432
00:23:39,813 --> 00:23:43,253
Speaker 2: we digressed, so I want to come back. Charlie Kirk

433
00:23:43,853 --> 00:23:45,493
Speaker 2: contributed what to your life?

434
00:23:45,733 --> 00:23:48,253
Speaker 4: Yeah, I mean, he gave me my first job outside

435
00:23:48,253 --> 00:23:52,293
Speaker 4: of college, and so I'm immeasurably thankful. But he gave

436
00:23:52,333 --> 00:23:54,373
Speaker 4: me a lot more than just that. He gave me

437
00:23:54,413 --> 00:23:56,093
Speaker 4: a couple of things. He gave me, first of all,

438
00:23:56,133 --> 00:23:58,333
Speaker 4: a lens with which I could use to see the world.

439
00:23:58,653 --> 00:24:03,893
Speaker 4: And one of those is the ability to organize community organizing,

440
00:24:04,253 --> 00:24:08,533
Speaker 4: and from that see tremendous gains and productivity. There's a

441
00:24:08,573 --> 00:24:11,453
Speaker 4: quote that sticks out for me that Charlie really impressed

442
00:24:11,493 --> 00:24:13,893
Speaker 4: upon me. This is after our first successful event too.

443
00:24:14,173 --> 00:24:16,133
Speaker 4: It was called Winter in West Palm Beach, which has

444
00:24:16,173 --> 00:24:18,653
Speaker 4: since become the Student Action Summit, which is the largest

445
00:24:19,053 --> 00:24:21,533
Speaker 4: conservative event in America at this point. But this was

446
00:24:21,533 --> 00:24:23,653
Speaker 4: the very first one and we just finished it had

447
00:24:23,653 --> 00:24:26,453
Speaker 4: about two hundred and fifty college students over massive success.

448
00:24:26,733 --> 00:24:29,653
Speaker 4: Charlie gathers us all together and says this quote. First

449
00:24:29,653 --> 00:24:32,813
Speaker 4: they ignore you, then they laugh at you, then they

450
00:24:32,853 --> 00:24:36,813
Speaker 4: fight you, and then you win. They ignore you, they laugh,

451
00:24:37,013 --> 00:24:40,133
Speaker 4: they fight but then you win. And that's exactly what

452
00:24:40,173 --> 00:24:42,813
Speaker 4: our experience was at Turning Point USA. I remember the

453
00:24:42,893 --> 00:24:44,733
Speaker 4: very first time Charlie set up a table at the

454
00:24:44,853 --> 00:24:47,413
Speaker 4: University of Wisconsin Madison, saying I'm going to do a

455
00:24:47,493 --> 00:24:49,613
Speaker 4: change my mind to prove me wrong. And you set

456
00:24:49,653 --> 00:24:52,053
Speaker 4: that table up and there's a student coming by once

457
00:24:52,093 --> 00:24:54,693
Speaker 4: every forty five minutes, I mean nothing at all. And

458
00:24:54,733 --> 00:24:57,813
Speaker 4: if you saw even his assassination, or had seen him

459
00:24:57,853 --> 00:25:00,413
Speaker 4: before in political discourse, you saw tens of thousands of

460
00:25:00,413 --> 00:25:02,893
Speaker 4: people surrounding that table by the end, and at first

461
00:25:02,893 --> 00:25:05,413
Speaker 4: they ignored him, then they laughed at him, then they

462
00:25:05,453 --> 00:25:05,933
Speaker 4: fought him.

463
00:25:06,053 --> 00:25:08,213
Speaker 3: But his ideas are winning, but he didn't.

464
00:25:08,733 --> 00:25:11,093
Speaker 4: So yeah, I will say he's larger than life now,

465
00:25:11,173 --> 00:25:14,453
Speaker 4: I mean, similar to many martyrs of political movements. I

466
00:25:14,453 --> 00:25:18,013
Speaker 4: think Charlie's impact will be far beyond what his life went.

467
00:25:18,173 --> 00:25:20,493
Speaker 2: How was how can that be maintained? I mean we've

468
00:25:20,973 --> 00:25:24,453
Speaker 2: all seen Erica's speech or speeches, absolutely, and I thought

469
00:25:24,493 --> 00:25:27,693
Speaker 2: that was very brave of her, very ambitious, and I

470
00:25:28,413 --> 00:25:30,773
Speaker 2: pondered whether it would hold.

471
00:25:31,813 --> 00:25:34,613
Speaker 3: Yeah, No, I think it's gonna hold in a big way.

472
00:25:34,813 --> 00:25:36,893
Speaker 4: There's a giant torch for us all to carry forward,

473
00:25:36,933 --> 00:25:39,453
Speaker 4: and yeah, my heart goes out to Erica and her children.

474
00:25:39,573 --> 00:25:40,573
Speaker 3: I mean, that's tough.

475
00:25:40,613 --> 00:25:43,173
Speaker 4: I saw an article recently saying, you know, her daughters

476
00:25:43,653 --> 00:25:46,093
Speaker 4: are still asking where his daddy. And that's so tough

477
00:25:46,133 --> 00:25:48,013
Speaker 4: as a mother to say that your father has passed

478
00:25:48,013 --> 00:25:50,053
Speaker 4: away and he's not here anymore. He's not you know,

479
00:25:50,173 --> 00:25:53,933
Speaker 4: around anymore, and that's really really sad. But what Charlie

480
00:25:53,973 --> 00:25:57,653
Speaker 4: built was an organization that was built tough and built

481
00:25:57,653 --> 00:26:01,533
Speaker 4: to last. Turning point, USA has never received more political contributions,

482
00:26:01,573 --> 00:26:04,133
Speaker 4: has never been more large in terms of student clubs

483
00:26:04,173 --> 00:26:06,813
Speaker 4: across the country and across the world, and continues to

484
00:26:06,813 --> 00:26:09,453
Speaker 4: grow every single day. So in the same vein as

485
00:26:09,533 --> 00:26:12,573
Speaker 4: many great founders, you kind of look at success, and

486
00:26:12,653 --> 00:26:16,773
Speaker 4: success oftentimes is can your organization exist after your departure?

487
00:26:17,013 --> 00:26:19,453
Speaker 4: Hopefully that person still living, and sadly, in this case,

488
00:26:19,733 --> 00:26:22,253
Speaker 4: Charlie is not. But I promise this organization is not

489
00:26:22,293 --> 00:26:24,813
Speaker 4: going to go anywhere. It is well funded, it's well

490
00:26:24,933 --> 00:26:27,293
Speaker 4: organized and well equipped for the fights ahead. And I

491
00:26:27,293 --> 00:26:30,413
Speaker 4: think that people like me and people that felt something

492
00:26:30,453 --> 00:26:33,173
Speaker 4: when they saw Charlie's assassination have an even bigger fire

493
00:26:33,253 --> 00:26:34,733
Speaker 4: in their belly to work even harder.

494
00:26:34,733 --> 00:26:37,093
Speaker 3: That's why I'm here in New Zealand timeframe.

495
00:26:38,613 --> 00:26:41,453
Speaker 2: You weren't with him. I mean when I say with him,

496
00:26:41,453 --> 00:26:45,373
Speaker 2: you'd left and moved on when he was assassinated. How long?

497
00:26:45,413 --> 00:26:46,293
Speaker 2: How long had gone.

498
00:26:46,093 --> 00:26:49,813
Speaker 4: By, Yeah, just over a decade of employment. But we

499
00:26:49,893 --> 00:26:53,333
Speaker 4: had been communicating quite often. I remember the last time

500
00:26:53,413 --> 00:26:55,653
Speaker 4: too that we were in person together was at the

501
00:26:55,653 --> 00:26:59,893
Speaker 4: White House and basically he was interviewing Avonka Trump and

502
00:27:00,893 --> 00:27:06,053
Speaker 4: President Trump is president and basically saying, Charlie, this is amazing,

503
00:27:06,133 --> 00:27:08,693
Speaker 4: like turning points, bigger than it's ever been before, like

504
00:27:08,813 --> 00:27:12,293
Speaker 4: what happens next? And Charlie famously said back to me, Stephen,

505
00:27:12,333 --> 00:27:15,013
Speaker 4: this is still just the beginning, Still just the beginning.

506
00:27:15,293 --> 00:27:17,173
Speaker 4: And again I still believe that for a turning point.

507
00:27:17,253 --> 00:27:21,253
Speaker 4: USA even admitd Charlie Kirk's departure from this world. There's

508
00:27:21,333 --> 00:27:23,893
Speaker 4: such a fire and he tapped into something. This is

509
00:27:23,933 --> 00:27:27,493
Speaker 4: a shared sentiment. The reason political organizations catch fire some

510
00:27:27,573 --> 00:27:31,053
Speaker 4: ways is because it's not always one person. One person

511
00:27:31,133 --> 00:27:34,013
Speaker 4: has the leadership and the vision to make it a reality,

512
00:27:34,213 --> 00:27:37,133
Speaker 4: but they're touching into something. They're touching into a shared feeling,

513
00:27:37,613 --> 00:27:41,653
Speaker 4: a shared motivation, shared aspirations or desire, and that's quite

514
00:27:41,733 --> 00:27:44,213
Speaker 4: very much still here and in fact inflamed even more

515
00:27:44,693 --> 00:27:46,813
Speaker 4: because once you make a martyr out of an organization,

516
00:27:46,853 --> 00:27:48,733
Speaker 4: I think you find that it becomes even more powerful.

517
00:27:48,813 --> 00:27:51,933
Speaker 4: Do you have a hYP doubts, doubts about what anything? Yeah,

518
00:27:52,013 --> 00:27:54,933
Speaker 4: lots of doubts about everything. Yeah, what would be your

519
00:27:54,933 --> 00:27:58,253
Speaker 4: biggest debt of the mondment? My biggest doubt at the moment.

520
00:27:58,293 --> 00:28:00,613
Speaker 4: That's a good question, and I think, if I had

521
00:28:00,653 --> 00:28:04,173
Speaker 4: to say it, my biggest doubt is in the economic

522
00:28:04,213 --> 00:28:06,493
Speaker 4: system of America right now, in the sense that we

523
00:28:06,533 --> 00:28:09,213
Speaker 4: are over thirty five trillion dollars in debt, and I'm

524
00:28:09,293 --> 00:28:12,453
Speaker 4: very concerned about the future of being the world reserve

525
00:28:12,533 --> 00:28:15,453
Speaker 4: currency moving forward in the future. I'm very concerned about,

526
00:28:15,613 --> 00:28:17,893
Speaker 4: you know, the economic future that we're leaving our children.

527
00:28:18,173 --> 00:28:20,373
Speaker 4: And in the past, it's been the tradition to leave

528
00:28:20,413 --> 00:28:23,173
Speaker 4: something better than you found it. And right now, you know,

529
00:28:23,253 --> 00:28:25,933
Speaker 4: I don't think we've received anything as a millennial better

530
00:28:25,973 --> 00:28:28,413
Speaker 4: than it was found. And now do we have the

531
00:28:28,413 --> 00:28:31,853
Speaker 4: ability to fix this right, this wrong, cause a turning

532
00:28:31,893 --> 00:28:35,413
Speaker 4: point right and ultimately leave the generation that's coming up

533
00:28:35,453 --> 00:28:36,173
Speaker 4: next better off.

534
00:28:36,413 --> 00:28:38,373
Speaker 2: There are a number of things that concern me about

535
00:28:38,653 --> 00:28:42,453
Speaker 2: the same. Yeah, because I'm an American at heart.

536
00:28:43,133 --> 00:28:45,453
Speaker 4: I love that everybody is. I mean, it's an ideal.

537
00:28:45,493 --> 00:28:47,053
Speaker 4: Anybody can become an American.

538
00:28:46,773 --> 00:28:47,613
Speaker 2: Don't you believe it?

539
00:28:47,733 --> 00:28:48,053
Speaker 3: Yeah?

540
00:28:49,693 --> 00:28:51,253
Speaker 2: Why do you people to hate America?

541
00:28:51,853 --> 00:28:53,973
Speaker 4: That's true and they live there too. It's kind of

542
00:28:53,973 --> 00:28:56,333
Speaker 4: funny too because sometimes we say like, hey, you know

543
00:28:56,373 --> 00:28:58,773
Speaker 4: you hate America so much, why don't you go somewhere else?

544
00:28:58,853 --> 00:29:01,093
Speaker 4: And they decide to stay where they're at.

545
00:29:01,253 --> 00:29:04,733
Speaker 2: Indeed, now, there was one thing that you mentioned about

546
00:29:05,373 --> 00:29:09,093
Speaker 2: looking at searching people before you go and meet them, right, Yeah,

547
00:29:09,133 --> 00:29:12,253
Speaker 2: So I did that with you great briefly. And here's

548
00:29:12,253 --> 00:29:14,973
Speaker 2: what I came across, Stephen Rohwe knows what you're thinking

549
00:29:15,413 --> 00:29:18,613
Speaker 2: is certain you've made up your mind, understands there's a chance,

550
00:29:18,813 --> 00:29:22,293
Speaker 2: a good chance, if you're a Port Adelaide fan, that

551
00:29:22,373 --> 00:29:24,813
Speaker 2: you've already thrown him in a box label dickhead and

552
00:29:24,893 --> 00:29:28,413
Speaker 2: slammed the lid. You know where Adelaide is, No, I

553
00:29:28,453 --> 00:29:32,133
Speaker 2: don't straight. South Australia the capital of South Australia. Now,

554
00:29:32,333 --> 00:29:36,493
Speaker 2: the person that's being referred to here turns out to

555
00:29:36,533 --> 00:29:39,533
Speaker 2: be a sports commentator on a radio station called five

556
00:29:39,613 --> 00:29:39,933
Speaker 2: Double A.

557
00:29:40,253 --> 00:29:42,613
Speaker 4: I've seen this Stephen before on my Google alerts. I

558
00:29:43,053 --> 00:29:44,413
Speaker 4: need to be far better than this guy.

559
00:29:44,613 --> 00:29:47,133
Speaker 3: I came here from that radio station. Wow.

560
00:29:47,333 --> 00:29:50,493
Speaker 4: Okay, the other Stephen is in the flash somewhere else. Well,

561
00:29:50,533 --> 00:29:53,253
Speaker 4: it's a competition on Google search results. Who pops up first?

562
00:29:53,493 --> 00:29:56,893
Speaker 4: We're back and forth. It's neck and neck. Let's change track.

563
00:29:57,253 --> 00:30:02,733
Speaker 4: You are renowned. So I understand in the subject of AI. Yes,

564
00:30:03,213 --> 00:30:05,693
Speaker 4: I have my doubts about AI, don't we all.

565
00:30:06,253 --> 00:30:08,253
Speaker 2: I don't know. You seem very positive.

566
00:30:08,413 --> 00:30:09,533
Speaker 3: I'm incredibly optimistic.

567
00:30:10,013 --> 00:30:15,653
Speaker 2: I caused arguments between listeners in the correspondences, et cetera

568
00:30:16,213 --> 00:30:20,173
Speaker 2: over AI because I think that there is still part

569
00:30:20,173 --> 00:30:21,653
Speaker 2: of me. Let's put it that way. There's still a

570
00:30:21,653 --> 00:30:25,293
Speaker 2: part of me that says it's overrated. It is not

571
00:30:25,373 --> 00:30:28,093
Speaker 2: going to achieve what people think it's going to achieve.

572
00:30:28,573 --> 00:30:31,173
Speaker 2: It's another dot com if you want to, if you

573
00:30:31,173 --> 00:30:34,933
Speaker 2: want to go in that direction, and I'd be very

574
00:30:34,973 --> 00:30:37,773
Speaker 2: concerned about the future. I would be very concerned about

575
00:30:37,813 --> 00:30:41,933
Speaker 2: the future if I believed that it was what so

576
00:30:42,013 --> 00:30:44,493
Speaker 2: many people seem to think it is. Yeah, so you

577
00:30:44,613 --> 00:30:45,253
Speaker 2: critique me.

578
00:30:45,653 --> 00:30:46,373
Speaker 3: Sure, well.

579
00:30:46,533 --> 00:30:50,693
Speaker 4: I think most people, unfortunately have a difference, have trouble

580
00:30:50,693 --> 00:30:54,053
Speaker 4: differentiating science from science fiction in so many ways, and

581
00:30:54,133 --> 00:30:57,973
Speaker 4: in the same vein reality versus Hollywood. Hollywood would have

582
00:30:58,013 --> 00:31:01,293
Speaker 4: you believe that artificial intelligence is terminator too, that it's

583
00:31:01,333 --> 00:31:04,173
Speaker 4: I robot, that it's two thousand and one a space Odyssey.

584
00:31:04,333 --> 00:31:06,773
Speaker 4: I can't do that for you, how things of that nature.

585
00:31:07,133 --> 00:31:10,293
Speaker 4: And the reality is that artificial intelligence is a tool

586
00:31:10,373 --> 00:31:13,133
Speaker 4: and your toolbox that you can leverage for success. It's

587
00:31:13,173 --> 00:31:15,533
Speaker 4: a force multiplier that allows you to have access to

588
00:31:15,613 --> 00:31:18,053
Speaker 4: knowledge that you previously didn't and I think that's a

589
00:31:18,093 --> 00:31:22,013
Speaker 4: tremendous opportunity for so many And ultimately, what I think

590
00:31:22,013 --> 00:31:26,533
Speaker 4: about artificial intelligence is that it can really help people

591
00:31:26,933 --> 00:31:30,213
Speaker 4: become better versions of themselves. And what I mean by

592
00:31:30,293 --> 00:31:34,413
Speaker 4: that is the people who have ideas. For example, let's

593
00:31:34,453 --> 00:31:36,653
Speaker 4: say that someone thought that they might be an inventor,

594
00:31:37,093 --> 00:31:38,933
Speaker 4: but didn't know how to make a website, or didn't

595
00:31:38,973 --> 00:31:41,013
Speaker 4: know how to do marketing or things of that nature.

596
00:31:41,293 --> 00:31:43,453
Speaker 4: Now has an amazing tool called AI to kind of

597
00:31:43,453 --> 00:31:46,373
Speaker 4: fill in those gaps. You know, somebody who is a

598
00:31:46,373 --> 00:31:49,613
Speaker 4: school board candidate or running for local office. They have

599
00:31:49,693 --> 00:31:51,853
Speaker 4: some good ideas about how they could help people, but

600
00:31:51,893 --> 00:31:54,053
Speaker 4: didn't know how to draft a campaign speech or to

601
00:31:54,493 --> 00:31:57,133
Speaker 4: market in a political setting, but now they have AI

602
00:31:57,413 --> 00:32:00,413
Speaker 4: to leverage that ability, and so AI is a really

603
00:32:00,453 --> 00:32:03,373
Speaker 4: good force multiplier and allowing people with ideas to come

604
00:32:03,373 --> 00:32:05,853
Speaker 4: to life like we've never seen before. And I think

605
00:32:05,893 --> 00:32:08,013
Speaker 4: that if we do this right, and there are dangers

606
00:32:08,053 --> 00:32:09,773
Speaker 4: and we can talk about that, but if we do

607
00:32:09,853 --> 00:32:12,813
Speaker 4: this right, AI is going to enable more human flourishing

608
00:32:12,813 --> 00:32:14,893
Speaker 4: than we've ever seen before in the past. And I

609
00:32:14,973 --> 00:32:17,573
Speaker 4: understand the concern. I remember when candle makers in the

610
00:32:17,653 --> 00:32:20,653
Speaker 4: nineteen twenty said this electricity thing is going to be terrible,

611
00:32:21,013 --> 00:32:24,013
Speaker 4: and yeah, fast forward to today. You can still buy

612
00:32:24,093 --> 00:32:27,933
Speaker 4: candles on Etsy. But electricity has saved moral lives, allowed

613
00:32:27,933 --> 00:32:31,093
Speaker 4: for us to live longer, healthier, happier lives with medicine

614
00:32:31,133 --> 00:32:33,293
Speaker 4: and even just being able to have a light on

615
00:32:33,813 --> 00:32:35,173
Speaker 4: what you need it so you don't fall down to

616
00:32:35,453 --> 00:32:39,533
Speaker 4: anything of that nature, or maybe even have access to

617
00:32:39,573 --> 00:32:42,893
Speaker 4: medicine because we can refrigerate things for a longer period

618
00:32:42,893 --> 00:32:45,773
Speaker 4: of time. And so this is the next step in technology.

619
00:32:45,853 --> 00:32:49,373
Speaker 4: Artificial intelligence is going to allow for tremendous flourishing. It's

620
00:32:49,413 --> 00:32:51,613
Speaker 4: going to be choppy, for sure, people are going to

621
00:32:51,693 --> 00:32:54,333
Speaker 4: lose jobs, and there are going to be situations that

622
00:32:54,373 --> 00:32:56,933
Speaker 4: aren't great. But the biggest pushback I get is, Stephen,

623
00:32:57,053 --> 00:32:59,253
Speaker 4: isn't this just going to take everybody's job? And my

624
00:32:59,293 --> 00:33:02,013
Speaker 4: answer to that is it's humans that are using AI

625
00:33:02,213 --> 00:33:03,893
Speaker 4: that are going to run over people that are not.

626
00:33:04,373 --> 00:33:07,413
Speaker 4: And again, people think that AI is some sentient being

627
00:33:07,613 --> 00:33:10,453
Speaker 4: and it's not. This is algorithms, you know, this is

628
00:33:10,493 --> 00:33:14,173
Speaker 4: transformer architecture at the end of the day, GPT chat GPT.

629
00:33:14,293 --> 00:33:19,213
Speaker 4: GPT stands for generative pre trained transformer, So that's kind

630
00:33:19,253 --> 00:33:21,733
Speaker 4: of what's happening. And at a more basic level, and

631
00:33:21,773 --> 00:33:26,253
Speaker 4: this is grossly oversimplifying it, but it's autocomplete. And so

632
00:33:26,533 --> 00:33:29,413
Speaker 4: if I say the words the cat in the next word,

633
00:33:29,453 --> 00:33:33,533
Speaker 4: most logically probably a ninety five percent, you know, expectation

634
00:33:33,893 --> 00:33:37,733
Speaker 4: is hat cat in the hat. And that's ultimately what

635
00:33:37,773 --> 00:33:40,933
Speaker 4: AI is doing as it's using predictive text to generate

636
00:33:41,093 --> 00:33:44,253
Speaker 4: content back. Now there's other modality it's beyond text, but

637
00:33:44,493 --> 00:33:47,533
Speaker 4: largely it's the same process of being able to predictively

638
00:33:47,613 --> 00:33:50,173
Speaker 4: model what should be popping up, what should be created,

639
00:33:50,213 --> 00:33:52,653
Speaker 4: things of that nature. And I think that's a really

640
00:33:52,693 --> 00:33:55,533
Speaker 4: really exciting and really cool, But to demystify it a

641
00:33:55,613 --> 00:33:59,053
Speaker 4: little bit, again, it's not some sentient being that we're unlocking.

642
00:33:59,093 --> 00:34:03,093
Speaker 4: This is powerful algorithmic computers that were making smart mean

643
00:34:03,173 --> 00:34:06,373
Speaker 4: by sentient being. Yeah, so I think you know the doomers,

644
00:34:06,613 --> 00:34:08,693
Speaker 4: I like as I like to say, the doom What

645
00:34:08,693 --> 00:34:11,773
Speaker 4: have you believed? That this AI is something that has

646
00:34:11,893 --> 00:34:16,853
Speaker 4: you know, wants, has desires that are independent of the creator.

647
00:34:17,293 --> 00:34:20,933
Speaker 4: And what you see as we create AI models increasingly

648
00:34:21,373 --> 00:34:23,573
Speaker 4: is that it's the foundation of which you build the

649
00:34:23,613 --> 00:34:27,133
Speaker 4: model that really pushes where it goes. And so, for example,

650
00:34:27,173 --> 00:34:30,013
Speaker 4: there's a good example with Google Gemini. Before it was

651
00:34:30,013 --> 00:34:33,093
Speaker 4: called Gemini, it was called Google Bard in twenty twenty three,

652
00:34:33,493 --> 00:34:37,293
Speaker 4: and if you asked Google Bard to create images of

653
00:34:37,333 --> 00:34:39,573
Speaker 4: the pope, it would create a female one. It would

654
00:34:39,573 --> 00:34:42,573
Speaker 4: create an Indian man, even though popes have always traditionally

655
00:34:42,613 --> 00:34:46,253
Speaker 4: been you know, old white guys. But what happens is

656
00:34:46,293 --> 00:34:50,933
Speaker 4: basically Google had as a foundation program diversity into the model,

657
00:34:51,253 --> 00:34:53,693
Speaker 4: and that's why it was producing those outcomes. And so

658
00:34:53,933 --> 00:34:57,053
Speaker 4: there's other ways to produce these foundations, and Google has

659
00:34:57,053 --> 00:35:00,373
Speaker 4: figured it out already with Gemini. They took barred behind

660
00:35:00,413 --> 00:35:03,413
Speaker 4: the barn and shot it and came back with Google Gemini,

661
00:35:03,733 --> 00:35:05,933
Speaker 4: and now it's a much stronger foundation.

662
00:35:06,213 --> 00:35:07,653
Speaker 2: Was that the first AI murder.

663
00:35:08,333 --> 00:35:11,813
Speaker 4: You know, it seems to be the most public execution

664
00:35:11,933 --> 00:35:14,213
Speaker 4: for sure, the most public rejection of an AI system

665
00:35:14,253 --> 00:35:16,653
Speaker 4: that I had seen at the time, and there's been

666
00:35:16,693 --> 00:35:19,333
Speaker 4: some other examples since. But you know, we look at

667
00:35:19,373 --> 00:35:23,293
Speaker 4: Elon Musk and Grock, which is one where its foundation

668
00:35:23,453 --> 00:35:26,253
Speaker 4: is to be the most truth seeking model. We see

669
00:35:26,693 --> 00:35:30,133
Speaker 4: open AI as being the model. Foundation is to help everyone.

670
00:35:30,453 --> 00:35:33,453
Speaker 4: And so there's different foundations at this point, but they're

671
00:35:33,493 --> 00:35:36,933
Speaker 4: all structured in such a way to make humans paramount.

672
00:35:37,013 --> 00:35:39,333
Speaker 4: Humans are always in the loop in the biggest part

673
00:35:39,373 --> 00:35:40,213
Speaker 4: of the progress.

674
00:35:40,293 --> 00:35:43,613
Speaker 2: Okay, so that's what's the stop it happening sometime down track.

675
00:35:44,053 --> 00:35:46,053
Speaker 4: Yeah, that means that we have to have the foundation

676
00:35:46,213 --> 00:35:48,253
Speaker 4: right as these things continue to develop, because we're at

677
00:35:48,253 --> 00:35:51,213
Speaker 4: the advent of what we call artificial general intelligence, what's

678
00:35:51,253 --> 00:35:53,413
Speaker 4: called AGI. But that's not going to be that's not

679
00:35:53,453 --> 00:35:55,293
Speaker 4: going to stop, and we're going to keep moving forward.

680
00:35:55,573 --> 00:35:57,933
Speaker 4: I think for people that have just gone on this journey,

681
00:35:57,933 --> 00:36:00,733
Speaker 4: if you're curious, we've had a NI for quite some time,

682
00:36:00,773 --> 00:36:04,213
Speaker 4: which is artificial narrow intelligence, right, and it was Gary

683
00:36:04,293 --> 00:36:07,413
Speaker 4: Kasproff in nineteen ninety one that faced off against IBM's

684
00:36:07,453 --> 00:36:11,293
Speaker 4: Deep Blue, and Gary Kasparov starts with E four, Deep

685
00:36:11,293 --> 00:36:14,173
Speaker 4: Blue responds with C three. The sicilian I'm trying to

686
00:36:14,213 --> 00:36:16,533
Speaker 4: make chests sound more exciting, but they're battling back and forth,

687
00:36:16,573 --> 00:36:19,133
Speaker 4: back and forth, and Gary Kasparov at the end tips

688
00:36:19,173 --> 00:36:19,773
Speaker 4: over is king.

689
00:36:20,053 --> 00:36:22,253
Speaker 3: The machine has beat the man.

690
00:36:22,573 --> 00:36:24,693
Speaker 4: And now, of course you log onto any chess dot

691
00:36:24,733 --> 00:36:27,013
Speaker 4: com or situation, and you're going to find that these

692
00:36:27,013 --> 00:36:29,133
Speaker 4: smart computers are really good at chess, better than every

693
00:36:29,173 --> 00:36:32,173
Speaker 4: human for sure. And that's been narrow intelligence. We are

694
00:36:32,173 --> 00:36:35,413
Speaker 4: at the advent of artificial general intelligence. So what's going

695
00:36:35,453 --> 00:36:38,653
Speaker 4: to happen here is basically, it's good at a wide

696
00:36:38,773 --> 00:36:41,653
Speaker 4: range of functions, tools and tasks, meaning that it can

697
00:36:41,693 --> 00:36:45,093
Speaker 4: search the internet for you, develop research reports, and create

698
00:36:45,453 --> 00:36:48,413
Speaker 4: tweets and blog posts and really fun videos and things

699
00:36:48,453 --> 00:36:50,653
Speaker 4: of that nature. But the path we're going on, like

700
00:36:50,653 --> 00:36:54,213
Speaker 4: I said, is to ASI, which is artificial superintelligence, the

701
00:36:54,293 --> 00:36:57,373
Speaker 4: machines training the machines, and ultimately, if you think of

702
00:36:57,413 --> 00:37:00,533
Speaker 4: AGI and there's ten people in a room, it's smart

703
00:37:00,573 --> 00:37:02,533
Speaker 4: as smart as everybody else in the room, maybe a

704
00:37:02,573 --> 00:37:05,053
Speaker 4: little dumber, maybe a little smarter, depending on the person.

705
00:37:05,493 --> 00:37:08,093
Speaker 4: And with as I it's going to be smarter than

706
00:37:08,093 --> 00:37:10,293
Speaker 4: all ten of those people in the room combined as

707
00:37:10,373 --> 00:37:12,933
Speaker 4: one entity. And so it's really important that we get

708
00:37:12,973 --> 00:37:14,893
Speaker 4: the foundation right. And I think we have a lot

709
00:37:14,893 --> 00:37:17,573
Speaker 4: of AI safety measures have been put in and we've

710
00:37:17,813 --> 00:37:21,333
Speaker 4: really been working at making sure this is being done

711
00:37:21,373 --> 00:37:22,533
Speaker 4: in the best way possible.

712
00:37:22,613 --> 00:37:24,973
Speaker 2: Okay, so what about the effect on mental health?

713
00:37:25,653 --> 00:37:28,213
Speaker 4: Yeah, so I think AI actually has unlocked a lot

714
00:37:28,613 --> 00:37:31,453
Speaker 4: in the realm of mental health. There's pluses and minuses here,

715
00:37:31,573 --> 00:37:33,733
Speaker 4: so I'll acknowledge the minuses first and then go to

716
00:37:33,773 --> 00:37:38,453
Speaker 4: the pluses. On the minus front, AI when it comes

717
00:37:38,453 --> 00:37:42,573
Speaker 4: to mental health can really be negative if.

718
00:37:42,373 --> 00:37:43,893
Speaker 3: It is your only best friend.

719
00:37:44,373 --> 00:37:46,693
Speaker 4: And what I mean by that is sometimes people are

720
00:37:46,693 --> 00:37:50,773
Speaker 4: now using AI to have relationships, and I think that

721
00:37:50,973 --> 00:37:53,013
Speaker 4: can be inherent that can be inherently negative. I mean,

722
00:37:53,333 --> 00:37:55,053
Speaker 4: there's not going to be too far in the future

723
00:37:55,093 --> 00:37:57,293
Speaker 4: where parents that are listening to this are gonna have

724
00:37:57,333 --> 00:37:58,693
Speaker 4: to say to their kid, Hey, you have to date

725
00:37:58,733 --> 00:38:01,493
Speaker 4: a human. You cannot date that AI chatbot that's already

726
00:38:01,493 --> 00:38:04,933
Speaker 4: happening today. And I think that's incredibly bad description.

727
00:38:05,213 --> 00:38:05,533
Speaker 3: Yeah.

728
00:38:05,573 --> 00:38:08,333
Speaker 4: So, basically, when it comes to dating the AI chapbot,

729
00:38:08,373 --> 00:38:11,013
Speaker 4: they're able to take on personas or characters, and so

730
00:38:11,053 --> 00:38:15,093
Speaker 4: people have AI girlfriends, and there's also AI pornography and

731
00:38:15,133 --> 00:38:17,853
Speaker 4: things of that nature, which are I think tremendously negative

732
00:38:17,893 --> 00:38:20,813
Speaker 4: on mental health because again, these aren't humans. This is

733
00:38:20,853 --> 00:38:23,333
Speaker 4: a bot that's been trained to reinforce you at all

734
00:38:23,373 --> 00:38:26,413
Speaker 4: points and never see that you're wrong, and always compliment

735
00:38:26,453 --> 00:38:28,573
Speaker 4: you and be your confident and best friend. And I

736
00:38:28,573 --> 00:38:30,973
Speaker 4: think that's it can be used for good and used

737
00:38:30,973 --> 00:38:33,093
Speaker 4: for bad as it relates to mental health. And so

738
00:38:33,173 --> 00:38:35,653
Speaker 4: now flipping on a switch to the good side of things,

739
00:38:35,893 --> 00:38:38,333
Speaker 4: think about that for a second. Therapy is one of

740
00:38:38,333 --> 00:38:42,173
Speaker 4: the most powerful things humans have to overcome obstacles, whether

741
00:38:42,253 --> 00:38:45,253
Speaker 4: that's post traumatic stress disorder or maybe they had a

742
00:38:45,293 --> 00:38:48,253
Speaker 4: traumatic instance in their life something to that effect, and

743
00:38:48,493 --> 00:38:51,653
Speaker 4: they can now use and leverage these AI chatbot technologies

744
00:38:51,933 --> 00:38:56,213
Speaker 4: to have you know, real therapeutic sessions, work through things

745
00:38:56,253 --> 00:38:58,453
Speaker 4: and ultimately come out on the other side a little

746
00:38:58,493 --> 00:39:01,253
Speaker 4: healthier and happier because they needed somebody to listen to

747
00:39:01,493 --> 00:39:03,813
Speaker 4: and maybe they couldn't afford a therapist. And so I

748
00:39:03,853 --> 00:39:06,373
Speaker 4: do think AI can help with mental health, and I

749
00:39:06,373 --> 00:39:08,773
Speaker 4: think it can hurt with mental health, and so pretty

750
00:39:08,813 --> 00:39:12,373
Speaker 4: traumatic ways becoming dependent on it, Yeah, becoming overly dependent

751
00:39:12,373 --> 00:39:14,733
Speaker 4: on it. I think human connection is one of the

752
00:39:14,733 --> 00:39:17,413
Speaker 4: most powerful things in the entire world. When humans get together,

753
00:39:17,413 --> 00:39:20,373
Speaker 4: they can build incredible things like AI technology. And what

754
00:39:20,413 --> 00:39:24,133
Speaker 4: I worry about is humans that become overly dependent on

755
00:39:24,293 --> 00:39:28,653
Speaker 4: AI technology, siloed themselves from the world and don't communicate

756
00:39:28,693 --> 00:39:30,413
Speaker 4: in the public square, wherever that may be.

757
00:39:31,013 --> 00:39:33,773
Speaker 2: You've never been asked this question before. Could an II

758
00:39:33,973 --> 00:39:36,413
Speaker 2: entity ever become the President of the United States?

759
00:39:36,893 --> 00:39:39,093
Speaker 3: Yes, yeah, I definitely think that's the case.

760
00:39:39,253 --> 00:39:42,213
Speaker 4: And even now you've got me spooked. Okay, there we go.

761
00:39:42,533 --> 00:39:45,893
Speaker 4: And you know, I think we would have a different name.

762
00:39:46,053 --> 00:39:47,973
Speaker 4: I don't think it'd be called the President. I still

763
00:39:47,973 --> 00:39:50,493
Speaker 4: think there would be humans in control. But we already

764
00:39:50,493 --> 00:39:54,773
Speaker 4: see beginnings of this. And so, for example, in Albania,

765
00:39:54,893 --> 00:39:58,533
Speaker 4: you can look this up. There's an AI minister, an

766
00:39:58,573 --> 00:40:03,093
Speaker 4: AI minister that's helping do government services across the government

767
00:40:03,133 --> 00:40:06,573
Speaker 4: of Albania. In Wyoming, there is a guy called vic

768
00:40:06,773 --> 00:40:10,493
Speaker 4: Vic who was a human and conduit for chat CHPT,

769
00:40:10,653 --> 00:40:12,693
Speaker 4: who said he would only do what the AI would

770
00:40:12,733 --> 00:40:15,013
Speaker 4: tell him what to do, and that's how he would vote,

771
00:40:15,093 --> 00:40:18,733
Speaker 4: that's how he would legislate, and things of that nature. No,

772
00:40:18,813 --> 00:40:21,573
Speaker 4: definitely not. He didn't receive very many votes either. Yeah,

773
00:40:21,613 --> 00:40:23,653
Speaker 4: he didn't receive very many votes. But I will say

774
00:40:23,733 --> 00:40:26,733
Speaker 4: you will see AI become increasingly a part of governmental

775
00:40:26,773 --> 00:40:29,853
Speaker 4: systems due to efficiency. If I'm able to help more people.

776
00:40:29,893 --> 00:40:32,773
Speaker 4: In America, we've got something called the DMV, which is

777
00:40:33,013 --> 00:40:36,773
Speaker 4: basically where you get your car license from and registration

778
00:40:37,093 --> 00:40:39,573
Speaker 4: and basically how you can operate a motor vehicle in

779
00:40:39,613 --> 00:40:41,653
Speaker 4: the state of Montana and in the state of Montana

780
00:40:41,693 --> 00:40:44,733
Speaker 4: and in the country of America. And if we're able

781
00:40:44,733 --> 00:40:47,013
Speaker 4: to make the DMV more efficient and help more people,

782
00:40:47,093 --> 00:40:49,173
Speaker 4: that's a pretty good thing. And I think that's what

783
00:40:49,213 --> 00:40:51,773
Speaker 4: you're going to start to see AI slowly becoming a

784
00:40:51,813 --> 00:40:55,893
Speaker 4: part of governmental systems that allows more efficiency gains. And

785
00:40:55,933 --> 00:40:57,933
Speaker 4: then as that happens, you're going to see more trust.

786
00:40:58,253 --> 00:41:00,053
Speaker 4: And then when the question is, well, should we go

787
00:41:00,133 --> 00:41:02,493
Speaker 4: left or should we go right, and the AI has

788
00:41:02,533 --> 00:41:05,453
Speaker 4: a pretty reasonably sound judgment, I think that's going to

789
00:41:05,453 --> 00:41:08,333
Speaker 4: start to wait in those discussions saying okay, well, AI

790
00:41:08,413 --> 00:41:10,373
Speaker 4: says we should go right, and so we start to

791
00:41:10,373 --> 00:41:12,253
Speaker 4: take the right path. And of course humans are in

792
00:41:12,293 --> 00:41:16,413
Speaker 4: control at all times, but ultimately assume that we keep

793
00:41:16,413 --> 00:41:20,253
Speaker 4: going in this artificial superintelligence path, then I do think

794
00:41:20,293 --> 00:41:22,933
Speaker 4: you'll see people that want to defer power to aisystems

795
00:41:22,973 --> 00:41:26,253
Speaker 4: completely because they can be in their minds wiser with

796
00:41:26,333 --> 00:41:27,093
Speaker 4: their judgments.

797
00:41:27,573 --> 00:41:29,973
Speaker 2: If you've got people who are always in control, and

798
00:41:30,053 --> 00:41:33,533
Speaker 2: AI depends on the instructions or however you'd frame it,

799
00:41:33,933 --> 00:41:39,533
Speaker 2: then what's what's stopping the evil seeping from the individuals

800
00:41:39,533 --> 00:41:44,693
Speaker 2: who are in control utilizing AI for their own purposes.

801
00:41:44,813 --> 00:41:46,613
Speaker 4: Yeah, that's a great question, and I think that's an

802
00:41:46,613 --> 00:41:49,853
Speaker 4: important question to ask because we are fundamentally in a

803
00:41:49,973 --> 00:41:53,693
Speaker 4: terminal race condition. So let's say, you know, America decides

804
00:41:53,853 --> 00:41:57,373
Speaker 4: let's just stop, let's stop developing AI, let's press pause,

805
00:41:57,493 --> 00:41:59,933
Speaker 4: let's study, let's figure it out some more. You know,

806
00:42:00,013 --> 00:42:01,453
Speaker 4: do you think China's going to stop? Do you think

807
00:42:01,533 --> 00:42:04,053
Speaker 4: Russia's going to stop? Or North Korea? The answer is no,

808
00:42:04,253 --> 00:42:06,773
Speaker 4: definitely not. And so what I mean by terminal race

809
00:42:06,813 --> 00:42:09,613
Speaker 4: condition is means we are four into a race to

810
00:42:09,653 --> 00:42:15,133
Speaker 4: see who gets to basically artificial superintelligence first. In my mind,

811
00:42:15,213 --> 00:42:17,413
Speaker 4: there are good guys in this story, and the good

812
00:42:17,413 --> 00:42:20,333
Speaker 4: guys are ones with Western values, ones that promote, you know,

813
00:42:20,373 --> 00:42:22,613
Speaker 4: the essence of the Magna carta ones that promote the

814
00:42:22,733 --> 00:42:24,893
Speaker 4: essence of the Constitution and the Bill of Rights, and

815
00:42:24,973 --> 00:42:28,133
Speaker 4: I think, yeah, no, they don't, which is really a

816
00:42:28,133 --> 00:42:30,813
Speaker 4: tragedy in terms of public education. I can't tell you

817
00:42:30,893 --> 00:42:34,973
Speaker 4: how many times we have Constitution Day in America, which

818
00:42:35,013 --> 00:42:38,333
Speaker 4: is September fifteenth generally, sometimes the seventeenth. That switches based

819
00:42:38,333 --> 00:42:41,813
Speaker 4: on days. But people keep reading back to me the

820
00:42:41,853 --> 00:42:44,933
Speaker 4: Declaration of Independence on Constitution Day, and I'm like, these

821
00:42:44,933 --> 00:42:48,093
Speaker 4: are different documents. So it's crazy in public education that

822
00:42:48,133 --> 00:42:51,493
Speaker 4: people don't understand the difference and nuances between the two.

823
00:42:52,253 --> 00:42:55,773
Speaker 4: But yeah, back to this AI system. So if let's

824
00:42:55,813 --> 00:42:58,773
Speaker 4: say the good guys, like I said, Western values wins,

825
00:42:59,613 --> 00:43:01,613
Speaker 4: then I think that we're going to have a benevolent

826
00:43:01,693 --> 00:43:05,053
Speaker 4: AI that is going to try and cause more human flourishing,

827
00:43:05,293 --> 00:43:08,933
Speaker 4: allow people to live again, healthier, happier and long lives.

828
00:43:09,173 --> 00:43:11,053
Speaker 4: But if the opposite side wins, and in this case,

829
00:43:11,093 --> 00:43:12,733
Speaker 4: I'm going to pick on China just a little bit

830
00:43:12,893 --> 00:43:16,653
Speaker 4: with their AI systems like Quen, like deep Seek and others.

831
00:43:17,693 --> 00:43:20,013
Speaker 4: If you ask it, you know what happened in Tianaman Square.

832
00:43:20,253 --> 00:43:22,853
Speaker 4: Nothing happened in Tianaman Square according to that AI system,

833
00:43:22,893 --> 00:43:26,093
Speaker 4: oh everybody knows that, Yeah, exactly, and so that's really

834
00:43:26,253 --> 00:43:29,253
Speaker 4: a danger for sure. And so because we're in this

835
00:43:29,333 --> 00:43:33,013
Speaker 4: terminal race condition, I think we have to continue to develop,

836
00:43:33,093 --> 00:43:35,133
Speaker 4: have to continue to grow, and again we have the

837
00:43:35,173 --> 00:43:39,213
Speaker 4: safety in check at this point. We have really good

838
00:43:39,253 --> 00:43:43,093
Speaker 4: foundational models that are built to help humans flourish. They're

839
00:43:43,093 --> 00:43:46,693
Speaker 4: not built to be evil in any way, shape or form.

840
00:43:46,973 --> 00:43:50,373
Speaker 4: And when you think about the possibilities of prompt injection

841
00:43:50,573 --> 00:43:52,573
Speaker 4: as we call it, or the chance for someone to

842
00:43:52,653 --> 00:43:55,573
Speaker 4: kind of co op this AI system for wrong or

843
00:43:55,773 --> 00:43:58,773
Speaker 4: to be mean or to be evil. Right now, we've

844
00:43:58,773 --> 00:44:02,693
Speaker 4: got significant efforts that's called red teaming that prevents it.

845
00:44:02,973 --> 00:44:05,333
Speaker 4: But even more than that, there's a lot of government

846
00:44:05,373 --> 00:44:07,933
Speaker 4: regulation and oversight now that is making sure that's not

847
00:44:07,973 --> 00:44:10,973
Speaker 4: the case. And so thankfully there's not one person that

848
00:44:10,973 --> 00:44:13,093
Speaker 4: can just you know, in a lab create an AI system,

849
00:44:13,093 --> 00:44:15,653
Speaker 4: at least up until this point. It's teams of people.

850
00:44:15,893 --> 00:44:18,373
Speaker 4: And when teams of people are working together, that means

851
00:44:18,373 --> 00:44:21,413
Speaker 4: that you're taking input from various people, which is I

852
00:44:21,413 --> 00:44:24,933
Speaker 4: think a very good thing. It's a coalition, so to speak.

853
00:44:25,093 --> 00:44:26,813
Speaker 4: And so in the same way that we have the

854
00:44:26,893 --> 00:44:30,733
Speaker 4: United Nations, think about the United nations developing artificial intelligence.

855
00:44:30,973 --> 00:44:33,813
Speaker 4: There's not one country that's ruining it, right, you know,

856
00:44:33,853 --> 00:44:36,093
Speaker 4: it's not the United States or Russia that's able to

857
00:44:36,133 --> 00:44:38,573
Speaker 4: dominate the field. Because there's a whole bunch of people

858
00:44:38,613 --> 00:44:41,093
Speaker 4: working together, there's more of a chance that we're working

859
00:44:41,133 --> 00:44:42,013
Speaker 4: towards shared goals.

860
00:44:42,973 --> 00:44:46,213
Speaker 2: So how's the UN done so far in its lifespan

861
00:44:46,733 --> 00:44:47,613
Speaker 2: on that basis?

862
00:44:47,773 --> 00:44:52,693
Speaker 4: Yeah, So the UN in the fifties and sixties pretty fantastic,

863
00:44:52,813 --> 00:44:54,653
Speaker 4: I think, you know, I remember when it was the

864
00:44:54,813 --> 00:44:57,693
Speaker 4: League of Nations and then ultimately become the United Nations,

865
00:44:57,733 --> 00:45:00,973
Speaker 4: and ultimately they did a pretty good job at the beginning.

866
00:45:01,013 --> 00:45:02,933
Speaker 4: I think now you're starting to see some shortcomings of

867
00:45:02,973 --> 00:45:05,933
Speaker 4: the UN, whether that was you know, Saudi Arabia being

868
00:45:05,973 --> 00:45:08,773
Speaker 4: a part of the Human Rights Council or you know,

869
00:45:09,333 --> 00:45:11,693
Speaker 4: other other things. There's a lot of critiques of the

870
00:45:11,773 --> 00:45:13,773
Speaker 4: UN that I could make, for sure, But at the

871
00:45:13,853 --> 00:45:15,733
Speaker 4: end of the day, I can't think of a better

872
00:45:15,773 --> 00:45:21,173
Speaker 4: system that that would allow for UH civilization globally to

873
00:45:21,293 --> 00:45:23,133
Speaker 4: kind of connect. So I do think there's a need

874
00:45:23,173 --> 00:45:26,813
Speaker 4: for it still, but yeah, it could use some updates

875
00:45:26,853 --> 00:45:28,053
Speaker 4: into the twenty first century.

876
00:45:28,213 --> 00:45:30,293
Speaker 2: Right, So we've got we've got we're on the road

877
00:45:30,613 --> 00:45:34,173
Speaker 2: to g A I A G I Yeah, No, g

878
00:45:34,413 --> 00:45:39,973
Speaker 2: A I yeah, Grand artificial Intelligence. Okay, that's the that's

879
00:45:39,973 --> 00:45:41,613
Speaker 2: the new name I've just said. I like it for

880
00:45:41,933 --> 00:45:44,533
Speaker 2: down the track g A I. I like it, Grand

881
00:45:44,613 --> 00:45:49,733
Speaker 2: artificial Intelligence. What happens to those who are lists intelligent,

882
00:45:50,613 --> 00:45:54,853
Speaker 2: those who are the byproduct of shall we say, unintended

883
00:45:54,893 --> 00:46:00,373
Speaker 2: consequences that don't have family support, And the question might

884
00:46:00,373 --> 00:46:04,933
Speaker 2: be that will g A I undermine family existence? What

885
00:46:05,093 --> 00:46:09,333
Speaker 2: happens to those people who are pushed aside and lift

886
00:46:09,333 --> 00:46:13,133
Speaker 2: to their own devices or the suggestion comes, well, they're

887
00:46:13,133 --> 00:46:15,613
Speaker 2: of no use to anybody, so let's do the night.

888
00:46:15,853 --> 00:46:18,453
Speaker 4: No, definitely don't want that to happen. And in fact,

889
00:46:18,733 --> 00:46:22,213
Speaker 4: what's retool them and make them useful in so many ways?

890
00:46:23,053 --> 00:46:25,733
Speaker 4: So yeah, I push back a little bit, only in that.

891
00:46:26,613 --> 00:46:29,813
Speaker 4: Let's imagine there's somebody and I'll just create an anecdote

892
00:46:29,813 --> 00:46:32,813
Speaker 4: if possible. So there's a person who has been pushed

893
00:46:32,813 --> 00:46:35,333
Speaker 4: out or cast out from society so to speak, right now,

894
00:46:35,653 --> 00:46:38,213
Speaker 4: and we're worried about them getting left behind or becoming

895
00:46:38,253 --> 00:46:41,493
Speaker 4: irrelevant or useless. And so if that's the case, how

896
00:46:41,533 --> 00:46:43,693
Speaker 4: can we bring them back into the fold. One thing

897
00:46:43,693 --> 00:46:47,013
Speaker 4: I'd recommend is using AI for their education. And so

898
00:46:47,293 --> 00:46:51,253
Speaker 4: for example, like Alexander the Great had Aristotle teaching him

899
00:46:51,293 --> 00:46:54,133
Speaker 4: how to become wise beyond his years, we can have

900
00:46:54,213 --> 00:46:57,213
Speaker 4: AI systems that meet people where they're at. You know,

901
00:46:57,293 --> 00:46:59,773
Speaker 4: people who listen to this podcast may switch it to

902
00:46:59,933 --> 00:47:02,133
Speaker 4: times two speed. If they're a little bit smarter, they

903
00:47:02,213 --> 00:47:04,133
Speaker 4: might switch it to point five speed if they want

904
00:47:04,133 --> 00:47:06,493
Speaker 4: to slow down, want to hear every single word. And

905
00:47:06,533 --> 00:47:08,693
Speaker 4: that's one of the powers of AI and education is

906
00:47:08,693 --> 00:47:10,573
Speaker 4: it's able to meet people where they're at and take

907
00:47:10,613 --> 00:47:13,693
Speaker 4: them on a journey towards practicality or usefulness in so

908
00:47:13,773 --> 00:47:15,693
Speaker 4: many ways. And there's going to be a lot of

909
00:47:15,813 --> 00:47:19,213
Speaker 4: ways people can be useful and helpful. I think one

910
00:47:19,253 --> 00:47:22,493
Speaker 4: of the greatest fallacies in economics that certainly applies to

911
00:47:22,493 --> 00:47:25,053
Speaker 4: AI is that of a fixed pie that there's only

912
00:47:25,093 --> 00:47:27,813
Speaker 4: so much to go around, and constantly we see that

913
00:47:27,853 --> 00:47:30,773
Speaker 4: the pie expands and the pie grows. The example I'd

914
00:47:30,773 --> 00:47:33,053
Speaker 4: pull at you right now is that of the iPhone.

915
00:47:33,093 --> 00:47:35,133
Speaker 4: The iPhone is created and all of a sudden, now

916
00:47:35,173 --> 00:47:37,613
Speaker 4: we have a trillion dollar business inside of the iPhone,

917
00:47:37,653 --> 00:47:40,733
Speaker 4: and it's called the Apple app Store. And in that

918
00:47:40,773 --> 00:47:43,373
Speaker 4: app store. There's over trillion dollars of business being done,

919
00:47:43,373 --> 00:47:46,573
Speaker 4: whether it's Spotify, or whether it's iTunes, or whether it's

920
00:47:46,653 --> 00:47:49,813
Speaker 4: your favorite note taking app or you know, candy crush.

921
00:47:49,853 --> 00:47:52,333
Speaker 4: This is a whole new economy that's happened. And so

922
00:47:52,413 --> 00:47:55,493
Speaker 4: you're going to see with AI tremendous opportunity for people

923
00:47:55,533 --> 00:47:58,213
Speaker 4: who have been out of civilization at this point to

924
00:47:58,253 --> 00:48:02,333
Speaker 4: be able to reinsert themselves into it through AI education

925
00:48:02,693 --> 00:48:05,013
Speaker 4: towards their desires, because the AI is going to take

926
00:48:05,053 --> 00:48:06,973
Speaker 4: them where they want to go. And so let's say

927
00:48:07,013 --> 00:48:11,053
Speaker 4: someone wants to become, you know, proficient in another language, Well,

928
00:48:11,093 --> 00:48:13,013
Speaker 4: a I can teach you how to speak a different language.

929
00:48:13,013 --> 00:48:14,373
Speaker 4: And let's say you want to build up a skill,

930
00:48:14,413 --> 00:48:16,373
Speaker 4: A I can teach you that skill. There has to

931
00:48:16,453 --> 00:48:18,093
Speaker 4: be the desire of the human at the end of

932
00:48:18,133 --> 00:48:20,413
Speaker 4: the day. But we're not going to eradicate people. If

933
00:48:20,413 --> 00:48:22,253
Speaker 4: they really want to leave and you know, we can't

934
00:48:22,253 --> 00:48:23,773
Speaker 4: teach them, they can hang out, but we're not going

935
00:48:23,773 --> 00:48:25,413
Speaker 4: to get rid of them. In fact, there's going to

936
00:48:25,453 --> 00:48:27,973
Speaker 4: be more resources available to help them. They're not going

937
00:48:28,013 --> 00:48:30,373
Speaker 4: to go hungry. And in America, even now, you see

938
00:48:30,413 --> 00:48:32,573
Speaker 4: the poress of the poor with an iPhone, you know,

939
00:48:32,653 --> 00:48:34,813
Speaker 4: in their hands as they kind of sort through things,

940
00:48:35,053 --> 00:48:36,613
Speaker 4: And so that person on the side is still going

941
00:48:36,653 --> 00:48:38,453
Speaker 4: to have immense technology and phone.

942
00:48:38,653 --> 00:48:40,613
Speaker 3: I have a green bubble. I'm a Samsung user.

943
00:48:41,333 --> 00:48:44,213
Speaker 2: Yeah, and why do you not have an iPhone?

944
00:48:44,533 --> 00:48:47,213
Speaker 3: Because I love to annoy my wife? And yeah, I

945
00:48:47,253 --> 00:48:47,813
Speaker 3: have a dream.

946
00:48:48,013 --> 00:48:50,173
Speaker 4: I have a dream that one day I'm not judged

947
00:48:50,213 --> 00:48:52,533
Speaker 4: by the color of my text bubble but by the

948
00:48:52,573 --> 00:48:55,653
Speaker 4: content of my text message. And yeah, I know I

949
00:48:55,773 --> 00:48:58,293
Speaker 4: ruined the group chats having a Samsung device because I'm

950
00:48:58,293 --> 00:49:00,733
Speaker 4: not an I message. You know, it turns from blue

951
00:49:00,733 --> 00:49:03,893
Speaker 4: to green for people who use an iPhone. But quite frankly,

952
00:49:03,933 --> 00:49:06,013
Speaker 4: I'm a fan of technology. I found this one to

953
00:49:06,053 --> 00:49:08,253
Speaker 4: be my favorite tool when I bought it at the time.

954
00:49:08,613 --> 00:49:10,933
Speaker 4: You know, it's got a stylus pen that can take photos,

955
00:49:10,973 --> 00:49:11,853
Speaker 4: which is really nice.

956
00:49:11,933 --> 00:49:13,733
Speaker 3: The pin can take photos, Yeah, totally.

957
00:49:13,773 --> 00:49:15,933
Speaker 4: So I can set this down and then if I can,

958
00:49:15,933 --> 00:49:18,213
Speaker 4: I'll go selfie style here. I can press this button

959
00:49:18,213 --> 00:49:19,893
Speaker 4: here and I just took a photo. And so how

960
00:49:19,893 --> 00:49:21,773
Speaker 4: many times have you need someone to take a photo

961
00:49:21,973 --> 00:49:24,973
Speaker 4: and you know you don't have someone, Well, thankfully I've

962
00:49:24,973 --> 00:49:27,253
Speaker 4: got my phone and for people listening right now. I

963
00:49:27,293 --> 00:49:29,693
Speaker 4: pulled out the stylus and there's a little button on it.

964
00:49:29,893 --> 00:49:31,973
Speaker 4: I press the button and it takes a photo from

965
00:49:31,973 --> 00:49:34,293
Speaker 4: my phone at pretty much any distance, which is kind

966
00:49:34,293 --> 00:49:36,853
Speaker 4: of cool, and it can be photos or videos. There's

967
00:49:36,893 --> 00:49:39,293
Speaker 4: a lot of unique things about these Samsung phones that

968
00:49:39,333 --> 00:49:42,133
Speaker 4: are great. And now you see these Samsungs that are

969
00:49:42,453 --> 00:49:45,213
Speaker 4: flippable and foldable and all of those types of things.

970
00:49:45,533 --> 00:49:47,493
Speaker 4: But for me, I just love the screen size of

971
00:49:47,493 --> 00:49:51,053
Speaker 4: this one. I love the video editing capabilities on it

972
00:49:51,253 --> 00:49:53,973
Speaker 4: and the photography as well. Now, I will say the

973
00:49:54,013 --> 00:49:56,893
Speaker 4: newest iPhone has this one beat. But you know, I

974
00:49:56,933 --> 00:49:59,493
Speaker 4: buy a new phone once every three years, so I'm

975
00:49:59,573 --> 00:50:01,933
Speaker 4: open to going back to iPhone. But at the time,

976
00:50:02,013 --> 00:50:03,013
Speaker 4: this was the best technology.

977
00:50:03,053 --> 00:50:05,173
Speaker 2: Well I'm not the greatest to when it comes to technology,

978
00:50:05,213 --> 00:50:07,573
Speaker 2: but I've got to tell you that that thing's driving

979
00:50:07,613 --> 00:50:13,533
Speaker 2: me crazy time. It's a new seventeen and they just

980
00:50:13,613 --> 00:50:16,893
Speaker 2: keep pushing stuff on you. It's like you think you've

981
00:50:16,893 --> 00:50:19,893
Speaker 2: got it under control and then they make changes, I

982
00:50:19,973 --> 00:50:20,453
Speaker 2: add to it.

983
00:50:20,573 --> 00:50:21,493
Speaker 3: So frustrating too.

984
00:50:21,613 --> 00:50:24,253
Speaker 4: And I call Apple a beautiful walled garden because when

985
00:50:24,253 --> 00:50:26,733
Speaker 4: you're in the garden, you know your Mac talks to

986
00:50:26,773 --> 00:50:29,493
Speaker 4: your iPhone. Your iPhone will talk to your iPad and all.

987
00:50:29,413 --> 00:50:31,213
Speaker 2: These types of things, and no one's talking to me.

988
00:50:31,373 --> 00:50:33,133
Speaker 4: Yeah that's fair, but they've got you trapped in this

989
00:50:33,333 --> 00:50:35,973
Speaker 4: world garden, and with the Samsung device right now, I'm

990
00:50:36,013 --> 00:50:38,453
Speaker 4: able to kind of freely go about my business and

991
00:50:38,493 --> 00:50:40,733
Speaker 4: pick you know, maybe a different laptop than a Mac,

992
00:50:40,813 --> 00:50:43,053
Speaker 4: or pick a different tablet than an iPad.

993
00:50:43,253 --> 00:50:44,933
Speaker 3: So I've got more opportunity in my mind.

994
00:50:45,053 --> 00:50:49,773
Speaker 2: Here's a list of reasons that people causes or purposes

995
00:50:49,773 --> 00:50:53,493
Speaker 2: that people are using AI for at the moment.

996
00:50:53,653 --> 00:50:54,173
Speaker 3: Love it.

997
00:50:56,333 --> 00:51:01,373
Speaker 2: And I printed it out in printer friendly to eliminate

998
00:51:01,413 --> 00:51:03,373
Speaker 2: pictures and things. And now I realize I'm missing a

999
00:51:03,413 --> 00:51:08,213
Speaker 2: bit of stuff. But right the top three support support, support,

1000
00:51:08,613 --> 00:51:13,013
Speaker 2: content creation last year, therapy and companionship this year. Yeah,

1001
00:51:13,053 --> 00:51:13,693
Speaker 2: we talked about that.

1002
00:51:14,413 --> 00:51:18,093
Speaker 3: Therapy and companionship last year was number two.

1003
00:51:19,533 --> 00:51:23,573
Speaker 2: This year. Number two is organized life specific search, research

1004
00:51:23,853 --> 00:51:28,973
Speaker 2: and analysis last year, and find purpose, which also falls

1005
00:51:29,013 --> 00:51:31,453
Speaker 2: under support of course, and then you work your way

1006
00:51:31,493 --> 00:51:37,613
Speaker 2: through and you edit text is next, explore interests, learning

1007
00:51:37,613 --> 00:51:41,453
Speaker 2: and education. I'm looking for something outstanding. Number fifteen is

1008
00:51:41,533 --> 00:51:45,813
Speaker 2: email writing I do that and cooking. Oh yeah, I

1009
00:51:45,813 --> 00:51:48,213
Speaker 2: do that too. You cook, I do cook, or you

1010
00:51:48,293 --> 00:51:48,733
Speaker 2: use ai?

1011
00:51:48,933 --> 00:51:49,973
Speaker 3: Oh yeah, totally.

1012
00:51:50,493 --> 00:51:53,053
Speaker 4: One thing, just quickly is that I was trying to

1013
00:51:53,093 --> 00:51:56,293
Speaker 4: lose weight recently, and so I taped into chatchypt help

1014
00:51:56,333 --> 00:51:58,213
Speaker 4: me lose weight this week, and it gave me, you know,

1015
00:51:58,293 --> 00:52:00,213
Speaker 4: meals for every day that I should have. And then

1016
00:52:00,253 --> 00:52:02,493
Speaker 4: I said, even better, give me the shopping list for it.

1017
00:52:02,573 --> 00:52:04,453
Speaker 4: And it gave me the shopping list, and that way

1018
00:52:04,493 --> 00:52:06,573
Speaker 4: I had all the tools and resources. And did I

1019
00:52:06,613 --> 00:52:09,773
Speaker 4: think that Pinko Chicken was going to be something I ate? No,

1020
00:52:09,973 --> 00:52:12,093
Speaker 4: but it was delicious. I really enjoyed it. It was

1021
00:52:12,093 --> 00:52:15,493
Speaker 4: great and I did lose weight. It worked well. Congratulations,

1022
00:52:15,493 --> 00:52:18,093
Speaker 4: thank you. I'm ready for carbo. And then you got

1023
00:52:18,133 --> 00:52:21,053
Speaker 4: to put a bag on again. You know, I'll try

1024
00:52:21,093 --> 00:52:23,693
Speaker 4: not to, but I am a big fan of Guinness

1025
00:52:23,853 --> 00:52:26,293
Speaker 4: and that is my kryptonite and definitely adds to the belly.

1026
00:52:26,693 --> 00:52:27,133
Speaker 2: Guinness.

1027
00:52:27,253 --> 00:52:28,773
Speaker 3: Oh, I love Guinness. It's so good.

1028
00:52:28,853 --> 00:52:31,453
Speaker 4: I thought you didn't drink. Oh, I definitely drink. Yes, No,

1029
00:52:31,653 --> 00:52:32,453
Speaker 4: Charlie doesn't drink.

1030
00:52:32,493 --> 00:52:33,733
Speaker 3: I drank. Yeah.

1031
00:52:33,733 --> 00:52:35,853
Speaker 2: Oh, I thought I thought you well, I knew I

1032
00:52:35,893 --> 00:52:37,813
Speaker 2: loved that. I knew that he didn't drink all the

1033
00:52:37,853 --> 00:52:42,093
Speaker 2: drink with you. After this, you got another appointment, I do, sadly. Yeah, However,

1034
00:52:42,693 --> 00:52:46,533
Speaker 2: you don't know what you've just created for yourself, all right.

1035
00:52:46,933 --> 00:52:50,133
Speaker 2: So look, the third mattha that I wanted to raise

1036
00:52:50,173 --> 00:52:54,973
Speaker 2: with you was American politics today. Yes, and I know

1037
00:52:55,013 --> 00:52:57,373
Speaker 2: you're into it and up to it. In the New

1038
00:52:57,453 --> 00:53:01,093
Speaker 2: York elections, there was a result that I think everybody

1039
00:53:01,173 --> 00:53:05,253
Speaker 2: expected it because of all the indicators. But there's there's

1040
00:53:05,333 --> 00:53:08,333
Speaker 2: now sort of feedback about how you feel about it,

1041
00:53:08,373 --> 00:53:11,293
Speaker 2: what you're going to do about it. And I've got

1042
00:53:11,293 --> 00:53:15,613
Speaker 2: some I've got some headlines and I want to bounce

1043
00:53:15,693 --> 00:53:16,773
Speaker 2: them off you.

1044
00:53:16,813 --> 00:53:17,213
Speaker 3: Please.

1045
00:53:17,733 --> 00:53:21,493
Speaker 2: Here's one from somebody who who I really appreciate. Are

1046
00:53:21,493 --> 00:53:22,773
Speaker 2: you familiar with kertch Schlichter.

1047
00:53:23,413 --> 00:53:26,453
Speaker 3: Yes, I'm familiar with the name. Love kurtz Schlichter's work.

1048
00:53:27,573 --> 00:53:31,493
Speaker 2: Tuesday Night sucked. Now get over it, and everything is

1049
00:53:31,533 --> 00:53:34,573
Speaker 2: written sort of back set up. I mean, I'll give

1050
00:53:34,573 --> 00:53:38,533
Speaker 2: you an example. While we lost everything, the end result

1051
00:53:38,573 --> 00:53:41,973
Speaker 2: was not a disaster of Obama twenty twelve proportions, well

1052
00:53:42,093 --> 00:53:45,773
Speaker 2: except for New York City. The election was the equivalent

1053
00:53:45,773 --> 00:53:50,213
Speaker 2: of walking down a Scat Francisco sidewalk barefoot after a

1054
00:53:50,213 --> 00:53:51,893
Speaker 2: hobo chili cook off.

1055
00:53:52,533 --> 00:53:53,013
Speaker 3: Oh gosh.

1056
00:53:53,653 --> 00:53:56,533
Speaker 2: But it did not illustrate any great new truths. It

1057
00:53:56,613 --> 00:53:59,693
Speaker 2: illustrated old truths. It just sucked. But it's important that

1058
00:53:59,773 --> 00:54:02,693
Speaker 2: we learn what we can from it and get ready

1059
00:54:02,733 --> 00:54:06,653
Speaker 2: for twenty twenty six. I predicted it, but it still sucks.

1060
00:54:07,373 --> 00:54:08,213
Speaker 2: Give me your thought on that.

1061
00:54:08,493 --> 00:54:09,933
Speaker 3: Yeah, well, big government sucks.

1062
00:54:10,013 --> 00:54:13,293
Speaker 4: And so yeah, congratulations to New York six Borough, which

1063
00:54:13,333 --> 00:54:16,573
Speaker 4: is Florida, because people are going to run away from

1064
00:54:16,613 --> 00:54:22,173
Speaker 4: this democratic socialist Zohan Mamdani. And you know, again, like

1065
00:54:22,213 --> 00:54:23,733
Speaker 4: you pointed out, we knew it was going to happen

1066
00:54:23,773 --> 00:54:25,453
Speaker 4: if you looked at the polls, you looked at the stats,

1067
00:54:25,613 --> 00:54:27,653
Speaker 4: that was clearly going to be the result. And yeah,

1068
00:54:27,733 --> 00:54:31,413
Speaker 4: a democratic mayor won in a democratic city, which is

1069
00:54:31,453 --> 00:54:34,533
Speaker 4: New York City, so you can't be overly surprised by it.

1070
00:54:34,773 --> 00:54:36,973
Speaker 4: But at the same time, the ideas that he's working

1071
00:54:37,013 --> 00:54:40,173
Speaker 4: to profess are ones that fundamentally I've been tried before

1072
00:54:40,173 --> 00:54:41,813
Speaker 4: and aren't going to work. But before I get to

1073
00:54:41,853 --> 00:54:44,933
Speaker 4: the ideas, the other thing to kind of really highlight

1074
00:54:45,013 --> 00:54:48,093
Speaker 4: about this race that I think is something that is

1075
00:54:48,293 --> 00:54:52,893
Speaker 4: unique is mom Donnie shares thoughts or sentiments that I

1076
00:54:52,933 --> 00:54:55,413
Speaker 4: would argue are similar to Bernie Sanders. It's people that

1077
00:54:55,493 --> 00:54:58,293
Speaker 4: want to, you know, break the system. I think, you know,

1078
00:54:58,333 --> 00:55:00,573
Speaker 4: the average American in so many ways, if there was

1079
00:55:00,613 --> 00:55:02,613
Speaker 4: one word that was the top of mind, it would

1080
00:55:02,613 --> 00:55:04,973
Speaker 4: be affordability. And I think a lot of people feel

1081
00:55:04,973 --> 00:55:07,013
Speaker 4: like they're getting left behind, especially in a city like

1082
00:55:07,053 --> 00:55:09,533
Speaker 4: New York City. The stock market has never been higher,

1083
00:55:09,533 --> 00:55:10,693
Speaker 4: and these people are suffering.

1084
00:55:11,373 --> 00:55:13,493
Speaker 2: And the closed then yeah, shut then yeah.

1085
00:55:13,533 --> 00:55:16,493
Speaker 4: And the shutdown too was something that was really eye

1086
00:55:16,533 --> 00:55:18,573
Speaker 4: opening in the state of New York and in the

1087
00:55:18,573 --> 00:55:21,253
Speaker 4: city of New York City. But on the second part

1088
00:55:21,293 --> 00:55:25,333
Speaker 4: of this again, these ideas government run grocery stores, you tax,

1089
00:55:25,413 --> 00:55:27,813
Speaker 4: the ridge schemes, these are things that have been tried

1090
00:55:27,813 --> 00:55:30,813
Speaker 4: before and have ultimately failed time and time again. I

1091
00:55:30,853 --> 00:55:33,373
Speaker 4: remember the Soviet Union in those very long breadlines that

1092
00:55:33,373 --> 00:55:35,773
Speaker 4: didn't look very favorable to me. And there's no clearer

1093
00:55:35,853 --> 00:55:41,813
Speaker 4: distinction of socialism versus capitalism than Germany East, Germany versus West.

1094
00:55:41,813 --> 00:55:44,213
Speaker 4: When the Berlin Wall was up, people were trying to flee,

1095
00:55:44,253 --> 00:55:46,093
Speaker 4: they were trying to run away, and when they finally

1096
00:55:46,133 --> 00:55:47,813
Speaker 4: were able to, they got out of there as fast

1097
00:55:47,853 --> 00:55:50,933
Speaker 4: as possible. So I expected exodus of a lot of

1098
00:55:50,933 --> 00:55:53,213
Speaker 4: people from the state of State of New York and

1099
00:55:53,253 --> 00:55:55,453
Speaker 4: the City of New York City. Many people will stay.

1100
00:55:55,533 --> 00:55:57,973
Speaker 4: I think that it's not a lost cause. I think

1101
00:55:58,013 --> 00:56:00,773
Speaker 4: that people will be able to succeed there still. But

1102
00:56:00,973 --> 00:56:03,733
Speaker 4: Momdanni's visions are bigger than his britches. At the end

1103
00:56:03,733 --> 00:56:05,613
Speaker 4: of the day, he's not going to be able to

1104
00:56:06,373 --> 00:56:07,693
Speaker 4: do a lot of the things he said he's going

1105
00:56:07,773 --> 00:56:10,253
Speaker 4: to do. For example, taxing the rich even more is

1106
00:56:10,293 --> 00:56:12,213
Speaker 4: at the governor level, it's not at the mayor level.

1107
00:56:12,413 --> 00:56:14,493
Speaker 4: And Kathy Hutchell has already said that she's not going

1108
00:56:14,573 --> 00:56:16,653
Speaker 4: to raise taxes, and so I don't know how he's

1109
00:56:16,653 --> 00:56:17,893
Speaker 4: going to fund these programs.

1110
00:56:18,373 --> 00:56:22,933
Speaker 2: I don't forget that politicians are renowned for breaking their promises.

1111
00:56:22,573 --> 00:56:25,973
Speaker 4: Oh completely, and this is going to be really something

1112
00:56:26,173 --> 00:56:28,493
Speaker 4: of that nature. And this is a pendulum at the

1113
00:56:28,573 --> 00:56:30,333
Speaker 4: end of the day. And so this was somebody on

1114
00:56:30,373 --> 00:56:32,453
Speaker 4: the left who is a bit more populist and somebody

1115
00:56:32,493 --> 00:56:35,053
Speaker 4: who gave a lot of promises that will not be kept.

1116
00:56:35,213 --> 00:56:37,413
Speaker 4: When people are disappointed, I think you're going to see

1117
00:56:37,453 --> 00:56:40,333
Speaker 4: the pendulum swing right back to the right. And so yeah,

1118
00:56:40,413 --> 00:56:42,733
Speaker 4: let's again try these ideas in New York. I'm glad

1119
00:56:42,773 --> 00:56:44,613
Speaker 4: they're trying them there. They're not trying them where I live,

1120
00:56:45,253 --> 00:56:49,053
Speaker 4: because yeah, this is going to fail spectacularly and unfortunately.

1121
00:56:49,333 --> 00:56:51,373
Speaker 4: You know, as a kid, your parent tells you not

1122
00:56:51,413 --> 00:56:53,493
Speaker 4: to touch the stove when it's hot, but as a kid,

1123
00:56:53,493 --> 00:56:55,253
Speaker 4: you're like, ah, man, maybe I should touch the stove,

1124
00:56:55,413 --> 00:56:57,133
Speaker 4: and then you realize it's hot, and then you don't

1125
00:56:57,133 --> 00:56:58,813
Speaker 4: do it. And so I think this is just the

1126
00:56:58,853 --> 00:57:03,013
Speaker 4: next generation unfortunately touching the stove. But again, as they

1127
00:57:03,013 --> 00:57:06,013
Speaker 4: figure out how hot and wrong these policies are, again

1128
00:57:06,013 --> 00:57:07,853
Speaker 4: they're going to start to push in the opposite direction.

1129
00:57:07,853 --> 00:57:08,853
Speaker 3: At least that my help.

1130
00:57:09,053 --> 00:57:11,613
Speaker 2: I want to pull another couple of stories and get

1131
00:57:11,693 --> 00:57:15,653
Speaker 2: you to critique them. Your opinion is valuable. Melanie Phillips,

1132
00:57:16,373 --> 00:57:20,573
Speaker 2: the British journalist who is Jewish, has written a number

1133
00:57:20,573 --> 00:57:24,053
Speaker 2: of very good works on the subject that we're talking about.

1134
00:57:25,093 --> 00:57:29,413
Speaker 2: She's referred to it as the Islamist capture of New York. Yes,

1135
00:57:30,093 --> 00:57:32,973
Speaker 2: and this particular article fills in a lot of holes.

1136
00:57:33,533 --> 00:57:35,453
Speaker 2: New York is by no means, I'm just picking this

1137
00:57:35,493 --> 00:57:38,093
Speaker 2: out of the middle. New York is, by no means

1138
00:57:38,093 --> 00:57:41,893
Speaker 2: the only place in America where Islamisation is making important

1139
00:57:41,893 --> 00:57:47,813
Speaker 2: in roads. The Palestinian Arab American influencer Abdul Ayad celebrated

1140
00:57:47,853 --> 00:57:52,613
Speaker 2: Mandarmi's victory by telling Israelis in New York to pack

1141
00:57:52,693 --> 00:57:55,053
Speaker 2: their bags and get out. He said that they should

1142
00:57:55,053 --> 00:57:57,333
Speaker 2: go to Poland or Cyprus, but not the Palestine, where

1143
00:57:57,373 --> 00:58:00,933
Speaker 2: they would be humiliated and removed. Now, this charming individual

1144
00:58:00,973 --> 00:58:06,093
Speaker 2: appeared to be speaking from Plano, Texas. This city hosts

1145
00:58:06,133 --> 00:58:10,853
Speaker 2: the East Plan Islamic Center, a restricted Islamic community governed

1146
00:58:10,853 --> 00:58:14,053
Speaker 2: by Sharia law that has existed for nearly twelve years

1147
00:58:14,413 --> 00:58:19,053
Speaker 2: and compromises a mega mosque, homes restricted to Muslim purchases,

1148
00:58:19,373 --> 00:58:24,453
Speaker 2: Islamic schools, and Islamic medical clinic, and Islamic businesses. At

1149
00:58:24,493 --> 00:58:28,693
Speaker 2: a public inquiry into this development last April, Douglas Deaton,

1150
00:58:29,213 --> 00:58:33,973
Speaker 2: an expert in SWAT tactics and urban threat analysis, gave

1151
00:58:34,013 --> 00:58:37,333
Speaker 2: evidence based on his experience with the Plano Police Department.

1152
00:58:37,733 --> 00:58:40,533
Speaker 2: One of the first houses in epic name of the place,

1153
00:58:40,733 --> 00:58:42,933
Speaker 2: he said, had been positioned with a clear view of

1154
00:58:42,933 --> 00:58:46,293
Speaker 2: some of the police department's most sensitive tactical assets. That

1155
00:58:46,373 --> 00:58:48,653
Speaker 2: house has all the hallmarks of a fortress and a

1156
00:58:48,693 --> 00:58:51,893
Speaker 2: command post. The rear of the house looks a lot

1157
00:58:52,013 --> 00:58:57,133
Speaker 2: like an observation post and a shooting platform. So there's

1158
00:58:57,173 --> 00:59:00,813
Speaker 2: two parts to this. One is that she's talking about

1159
00:59:00,853 --> 00:59:05,493
Speaker 2: the Islamist capture of New York. So are the Islamists

1160
00:59:05,613 --> 00:59:10,213
Speaker 2: and the Muslims in New York? And I'm sure that

1161
00:59:10,293 --> 00:59:14,933
Speaker 2: you know that on election night they took the Times Square.

1162
00:59:15,933 --> 00:59:19,213
Speaker 2: I do know that, and pray Yeah, I sold a

1163
00:59:19,213 --> 00:59:22,093
Speaker 2: picture and it scared the hell out of me. Yeah,

1164
00:59:22,213 --> 00:59:22,773
Speaker 2: am I right?

1165
00:59:23,253 --> 00:59:27,253
Speaker 4: You know, I think that the biggest thing that needs

1166
00:59:27,253 --> 00:59:30,773
Speaker 4: to happen when you become an American is that you assimilate.

1167
00:59:31,373 --> 00:59:34,653
Speaker 4: The worry I have is that a lot of people

1168
00:59:35,173 --> 00:59:37,653
Speaker 4: will come to America and try and make it their

1169
00:59:37,653 --> 00:59:40,373
Speaker 4: country and not become a part of the fabric.

1170
00:59:40,013 --> 00:59:41,773
Speaker 2: That's been going on a long time. It just depends

1171
00:59:41,813 --> 00:59:45,053
Speaker 2: on where they come from. Yeah, that matters, Yeah, totally.

1172
00:59:45,453 --> 00:59:47,893
Speaker 4: And there was a band by President Trump in the

1173
00:59:47,933 --> 00:59:50,493
Speaker 4: past that was very specific in naming out the countries

1174
00:59:50,533 --> 00:59:52,253
Speaker 4: that were to be banned.

1175
00:59:52,613 --> 00:59:54,173
Speaker 3: And yeah, I think that.

1176
00:59:55,653 --> 01:00:00,533
Speaker 4: Sharia law is antithetical to my beliefs personally. I believe

1177
01:00:00,533 --> 01:00:03,053
Speaker 4: that women have the right to vote and to drive

1178
01:00:03,133 --> 01:00:05,973
Speaker 4: and to leave their home and not be covered when

1179
01:00:06,013 --> 01:00:08,333
Speaker 4: they do so they can be alone without a man

1180
01:00:08,373 --> 01:00:11,653
Speaker 4: and walking them in from to and from peak places.

1181
01:00:12,013 --> 01:00:16,853
Speaker 4: I believe that men and women can be gay or lesbian, bisexual,

1182
01:00:16,893 --> 01:00:20,213
Speaker 4: and things of that nature, and these things just aren't

1183
01:00:20,213 --> 01:00:23,933
Speaker 4: compatible with the Islamic faith and that of Sharia law.

1184
01:00:24,293 --> 01:00:28,133
Speaker 4: What you see oftentimes you'll have, you know, these gays

1185
01:00:28,133 --> 01:00:32,613
Speaker 4: for Palestine protests and not protests, but signs out a protest.

1186
01:00:32,653 --> 01:00:35,053
Speaker 4: And I don't know, it's like, I don't know, lambs

1187
01:00:35,133 --> 01:00:37,413
Speaker 4: cheering on wolves saying like, yes, come eat me, come

1188
01:00:37,413 --> 01:00:39,093
Speaker 4: eat me, because if they went to Palestine, they'd be

1189
01:00:39,133 --> 01:00:40,773
Speaker 4: pushed off the tallest building and killed.

1190
01:00:41,133 --> 01:00:42,813
Speaker 3: And so yeah, I think it's dangerous.

1191
01:00:42,813 --> 01:00:44,453
Speaker 4: I think that a lot of people on the left

1192
01:00:44,653 --> 01:00:47,893
Speaker 4: have what I like to call suicidal empathy, where they

1193
01:00:47,973 --> 01:00:50,653
Speaker 4: really think that they're doing the right thing, but at

1194
01:00:50,693 --> 01:00:51,813
Speaker 4: the end of the day, it can lead to their

1195
01:00:51,813 --> 01:00:52,373
Speaker 4: own destruction.

1196
01:00:52,493 --> 01:00:54,733
Speaker 3: So why did thirty percent of Jews in New York

1197
01:00:54,773 --> 01:00:55,253
Speaker 3: City but.

1198
01:00:55,373 --> 01:00:58,613
Speaker 4: For Mamdani, Yeah, I think they did it because they're

1199
01:00:58,613 --> 01:01:02,133
Speaker 4: culturally Jewish. There's a big difference between a practicing Jew

1200
01:01:02,413 --> 01:01:05,773
Speaker 4: and and then also being a cultural Jew. So some

1201
01:01:05,773 --> 01:01:07,853
Speaker 4: people are Jewish and the way it descends from the

1202
01:01:07,893 --> 01:01:12,773
Speaker 4: mother and basically that's their right to be a member

1203
01:01:12,813 --> 01:01:15,533
Speaker 4: of the tribe, which is exciting and great, but then

1204
01:01:15,533 --> 01:01:18,173
Speaker 4: they don't practice the tenants of the faith. And so

1205
01:01:18,253 --> 01:01:20,813
Speaker 4: that's what you see in New York often is people

1206
01:01:20,853 --> 01:01:24,613
Speaker 4: that are culturally Jewish but not religiously practicing Jewish. And

1207
01:01:24,973 --> 01:01:26,893
Speaker 4: they won't you won't find them at a Shabbat of

1208
01:01:26,933 --> 01:01:29,013
Speaker 4: Friday night, that's for sure. And so those are the

1209
01:01:29,013 --> 01:01:30,973
Speaker 4: people that would identify as Jewish that would have voted

1210
01:01:30,973 --> 01:01:32,053
Speaker 4: from Amdani in my opinion.

1211
01:01:32,493 --> 01:01:36,573
Speaker 2: So talk to me about the Muslim Brotherhood. Yeah, and

1212
01:01:36,853 --> 01:01:38,533
Speaker 2: the Communist Alliance.

1213
01:01:38,333 --> 01:01:41,453
Speaker 4: Totally seems to be there is one too, And yeah,

1214
01:01:41,493 --> 01:01:43,493
Speaker 4: I mean there's been a lot with the Muslim Brotherhood.

1215
01:01:43,493 --> 01:01:46,053
Speaker 4: And there's even you know, elected politicians in America like

1216
01:01:46,093 --> 01:01:49,533
Speaker 4: Ilhan Omar from Minnesota, who I believe is married to

1217
01:01:49,533 --> 01:01:55,053
Speaker 4: her brother, but also said that she had more more

1218
01:01:55,133 --> 01:01:58,053
Speaker 4: belonging to her previous country than this one America. But

1219
01:01:58,133 --> 01:02:01,613
Speaker 4: she's a member of Congress, which I find deeply, deeply concerning.

1220
01:02:01,933 --> 01:02:04,653
Speaker 4: And then, of course, the Muslim Brotherhood is very active

1221
01:02:04,653 --> 01:02:08,773
Speaker 4: in politics and typically exists on the progressive left. And

1222
01:02:08,813 --> 01:02:10,413
Speaker 4: I think that you know, when you think about the

1223
01:02:10,493 --> 01:02:15,013
Speaker 4: Muslim Brotherhood and communism, and socialism. It's really about authoritarian

1224
01:02:15,093 --> 01:02:17,053
Speaker 4: control at the end of the day, because if you

1225
01:02:17,053 --> 01:02:19,733
Speaker 4: can control the government structure, then you can kind of

1226
01:02:19,853 --> 01:02:24,373
Speaker 4: force the political apparatus around people, whether they're willing or unwilling.

1227
01:02:24,813 --> 01:02:27,053
Speaker 4: And I again am on the opposite side of this,

1228
01:02:27,093 --> 01:02:29,933
Speaker 4: where I think that you should have individual freedom, and

1229
01:02:30,053 --> 01:02:34,013
Speaker 4: I don't think that's compatible with the Muslim faith. I

1230
01:02:34,013 --> 01:02:37,413
Speaker 4: don't think that's compatible with socialism or communism at all. Instead,

1231
01:02:37,413 --> 01:02:39,653
Speaker 4: it's marching orders from the top, telling you what to do,

1232
01:02:39,773 --> 01:02:41,533
Speaker 4: what to say, and where to go. And I think

1233
01:02:41,533 --> 01:02:44,733
Speaker 4: that's incredibly dangerous for sure, because again, now if someone

1234
01:02:44,773 --> 01:02:46,813
Speaker 4: does stick out like a tall blade of grass, they're

1235
01:02:46,933 --> 01:02:48,293
Speaker 4: easily able to cut you down.

1236
01:02:48,453 --> 01:02:49,773
Speaker 3: And that's not a good thing at all.

1237
01:02:49,893 --> 01:02:53,933
Speaker 2: Tell me something. If you went back to America tomorrow, yeah,

1238
01:02:53,973 --> 01:02:54,853
Speaker 2: which you're probably doing.

1239
01:02:54,853 --> 01:02:56,453
Speaker 3: Actually, yeah, that's legit happening.

1240
01:02:56,493 --> 01:02:59,053
Speaker 2: But when you got there, you found that you found

1241
01:02:59,053 --> 01:03:03,573
Speaker 2: that America had been taken over by the Muslim Brotherhood

1242
01:03:04,573 --> 01:03:07,573
Speaker 2: and they'd put these plays into action that you just

1243
01:03:07,613 --> 01:03:09,733
Speaker 2: described totally. Well, what happened to you? I have to

1244
01:03:09,853 --> 01:03:10,693
Speaker 2: talk to me today.

1245
01:03:10,893 --> 01:03:11,613
Speaker 3: Well, I'll tell you what.

1246
01:03:11,813 --> 01:03:14,493
Speaker 4: I'll go down with the ship and I'm not afraid

1247
01:03:14,533 --> 01:03:17,213
Speaker 4: to profess what I have to say ever, and I'd

1248
01:03:17,213 --> 01:03:20,293
Speaker 4: never have been. And so if it's the Titanic and

1249
01:03:20,333 --> 01:03:22,173
Speaker 4: it's going down, then I'm the one on the ship.

1250
01:03:22,173 --> 01:03:23,413
Speaker 3: I'm next to the captain.

1251
01:03:23,533 --> 01:03:25,333
Speaker 2: Are you sure you'd feel that way when the ship

1252
01:03:25,373 --> 01:03:25,813
Speaker 2: was tilting.

1253
01:03:26,093 --> 01:03:26,533
Speaker 3: I think so.

1254
01:03:26,813 --> 01:03:29,133
Speaker 4: I do think so, And I think that encourages bravery.

1255
01:03:29,173 --> 01:03:31,853
Speaker 4: And also I'm you know, I have conviction of my faith,

1256
01:03:31,933 --> 01:03:35,453
Speaker 4: knowing that there's something else after this life, and so yeah,

1257
01:03:35,453 --> 01:03:37,693
Speaker 4: I'm not afraid to spend this one, this life fighting

1258
01:03:37,693 --> 01:03:40,333
Speaker 4: for what's right. And that means, you know, standing in

1259
01:03:40,373 --> 01:03:44,333
Speaker 4: the same same situation. Often this is a rude comparison,

1260
01:03:44,333 --> 01:03:47,293
Speaker 4: and I'm nowhere. Here is great, but the Founding Fathers,

1261
01:03:47,493 --> 01:03:49,733
Speaker 4: you know, we're fighting one of the biggest governmental systems

1262
01:03:49,733 --> 01:03:52,653
Speaker 4: in the entire world. These kids were twenty twenty four,

1263
01:03:52,813 --> 01:03:55,973
Speaker 4: twenty six, and John Hancock famously wrote, Hey, you know

1264
01:03:56,013 --> 01:03:58,053
Speaker 4: this signature. I hope it's big enough for them to

1265
01:03:58,093 --> 01:04:00,853
Speaker 4: see it. I'm John Hancock, come after me, right, I've

1266
01:04:00,853 --> 01:04:03,013
Speaker 4: got that same mentality in a lot of ways. I'm

1267
01:04:03,213 --> 01:04:05,173
Speaker 4: very team freedom and I'm going to fight for it.

1268
01:04:05,213 --> 01:04:08,173
Speaker 4: I think America is the last best hope for a

1269
01:04:08,453 --> 01:04:10,973
Speaker 4: lot of these ideas that we hold near and deer

1270
01:04:10,973 --> 01:04:13,533
Speaker 4: and becomes a shining city on a hill for other countries,

1271
01:04:13,773 --> 01:04:16,613
Speaker 4: especially amazing countries like New Zealand, to emulate. And so

1272
01:04:16,653 --> 01:04:18,613
Speaker 4: we can't let it fall. And if it does fall

1273
01:04:18,693 --> 01:04:20,333
Speaker 4: or starts to fall, I'm going to be the one

1274
01:04:20,333 --> 01:04:21,933
Speaker 4: in the front lines trying to make sure it doesn't.

1275
01:04:21,973 --> 01:04:23,973
Speaker 4: But that's peacefully and patriotically.

1276
01:04:24,213 --> 01:04:24,413
Speaker 5: You know.

1277
01:04:24,733 --> 01:04:27,413
Speaker 4: My hope is to always make sure this is not violent.

1278
01:04:28,093 --> 01:04:30,053
Speaker 4: But if it is, we also have something called the

1279
01:04:30,053 --> 01:04:33,413
Speaker 4: Second Amendment, and so that's another place of defense. And

1280
01:04:33,453 --> 01:04:35,253
Speaker 4: there's other people that think like me, a lot of

1281
01:04:35,253 --> 01:04:37,453
Speaker 4: patriotic voices that would stand shoulders to shoulder with me,

1282
01:04:37,493 --> 01:04:38,413
Speaker 4: and I think that's a good thing.

1283
01:04:38,493 --> 01:04:41,853
Speaker 2: I've spent a lot of time on this particular aspect

1284
01:04:41,933 --> 01:04:45,573
Speaker 2: of American life and here too, in other places, but

1285
01:04:45,693 --> 01:04:50,733
Speaker 2: specifically America. And you'll understand why. So with you talked

1286
01:04:50,733 --> 01:04:55,093
Speaker 2: about the Second Amendment, with the activist judges who are

1287
01:04:55,533 --> 01:04:59,013
Speaker 2: manipulating much of America at this point of time. Yeah,

1288
01:04:59,213 --> 01:04:59,933
Speaker 2: what's your answer.

1289
01:05:00,093 --> 01:05:02,253
Speaker 3: Yeah, so you know, you've got two answers.

1290
01:05:02,573 --> 01:05:05,293
Speaker 4: The first is there's a terrible boating accident that happened

1291
01:05:05,333 --> 01:05:07,373
Speaker 4: where I lost all my firearms. So if they ask

1292
01:05:07,453 --> 01:05:09,773
Speaker 4: for the conference of firearms, I want to give them,

1293
01:05:09,773 --> 01:05:11,973
Speaker 4: but unfortunately I lost them in this boating accident. It

1294
01:05:12,013 --> 01:05:15,493
Speaker 4: was terrible. I can't believe it just happened. Sarcasm. But

1295
01:05:15,533 --> 01:05:17,533
Speaker 4: then the other option is saying, hey, I live right

1296
01:05:17,573 --> 01:05:19,613
Speaker 4: here and I'm not giving you my guns. What are

1297
01:05:19,613 --> 01:05:21,293
Speaker 4: we going to do about it? And I think that's

1298
01:05:21,333 --> 01:05:23,973
Speaker 4: the mentality of a lot of Americans who really believe

1299
01:05:24,013 --> 01:05:27,733
Speaker 4: in the Second Amendment. And so this is a scary hypothetical.

1300
01:05:28,053 --> 01:05:31,013
Speaker 4: But thankfully we've seen over two hundred years of the

1301
01:05:31,053 --> 01:05:36,493
Speaker 4: Second Amendment in practice and typically speaking, there are immense

1302
01:05:36,533 --> 01:05:39,693
Speaker 4: tragedies that have happened, especially around schools and especially gun

1303
01:05:39,693 --> 01:05:41,573
Speaker 4: free zones. To be quite frank with you, in a

1304
01:05:41,573 --> 01:05:44,893
Speaker 4: world where there are guns, and we've had very peaceful

1305
01:05:44,933 --> 01:05:47,053
Speaker 4: places to exist. Like I said, I'm from the great

1306
01:05:47,053 --> 01:05:48,613
Speaker 4: state of Montana. You just have to be a half

1307
01:05:48,613 --> 01:05:51,533
Speaker 4: mile off the road to go shooting. You can open carry,

1308
01:05:51,533 --> 01:05:53,653
Speaker 4: you can conceal carry. And I'll tell you what. Every

1309
01:05:53,653 --> 01:05:57,533
Speaker 4: neighbor's friendly. We love each other. We're an amazing community

1310
01:05:57,573 --> 01:06:00,493
Speaker 4: and everybody's welcome too, especially if you assimilate, and so

1311
01:06:00,533 --> 01:06:03,013
Speaker 4: I think the Second Amendment is an immensely positive success

1312
01:06:03,053 --> 01:06:06,013
Speaker 4: story of America in many regards. Again, there's been some

1313
01:06:06,133 --> 01:06:09,973
Speaker 4: real tragedy along the way that's unaccepted, but on the whole,

1314
01:06:10,413 --> 01:06:13,293
Speaker 4: the Second Amendment has allowed for freedom to flourish in

1315
01:06:13,333 --> 01:06:16,093
Speaker 4: so many places, and I think that's ultimately a good thing.

1316
01:06:16,133 --> 01:06:19,213
Speaker 2: But that's only if that's only your judges much to

1317
01:06:19,253 --> 01:06:20,733
Speaker 2: the same regulations.

1318
01:06:20,813 --> 01:06:22,773
Speaker 4: That's right, But this time this thing is enshrined in

1319
01:06:22,773 --> 01:06:25,453
Speaker 4: our constitution and so they can restrict it, and they have.

1320
01:06:25,813 --> 01:06:27,373
Speaker 4: But at the end of the day, it says you

1321
01:06:27,453 --> 01:06:29,893
Speaker 4: shall not infringe. Those are the first words of the

1322
01:06:29,893 --> 01:06:32,773
Speaker 4: Second Amendment. And so my hope is that we continue

1323
01:06:32,773 --> 01:06:33,173
Speaker 4: to have So.

1324
01:06:34,733 --> 01:06:36,453
Speaker 2: Let's say that we get to you get to the

1325
01:06:36,453 --> 01:06:42,053
Speaker 2: point where the three radicals on the Supreme Court turn

1326
01:06:42,133 --> 01:06:46,813
Speaker 2: into five yeah, and just ignored the Second Amendment or

1327
01:06:46,893 --> 01:06:50,613
Speaker 2: right anything else in the Constitution totally. What happens, Yeah,

1328
01:06:50,813 --> 01:06:51,333
Speaker 2: civil war.

1329
01:06:52,053 --> 01:06:54,493
Speaker 4: You know, I think civil wars happened before in America,

1330
01:06:54,733 --> 01:06:57,533
Speaker 4: and unfortunately it was a traumatic thing that killed millions.

1331
01:06:57,533 --> 01:07:01,173
Speaker 4: It's America's worst war because everybody that died was an American.

1332
01:07:01,533 --> 01:07:02,333
Speaker 3: That's terrible.

1333
01:07:02,973 --> 01:07:05,413
Speaker 4: But the good guys won the civil war in my eyes,

1334
01:07:05,413 --> 01:07:07,293
Speaker 4: which was the North, and in the same vein, I

1335
01:07:07,293 --> 01:07:08,853
Speaker 4: think the good guys will win again. And if you

1336
01:07:08,853 --> 01:07:12,013
Speaker 4: think about who has the guns, it's not the activist judges,

1337
01:07:12,053 --> 01:07:14,653
Speaker 4: it's not the progressive left. And so if it really

1338
01:07:14,693 --> 01:07:17,173
Speaker 4: results into something of that nature, and I don't think

1339
01:07:17,213 --> 01:07:19,453
Speaker 4: that will happen, and I pray that it never happens,

1340
01:07:20,453 --> 01:07:22,533
Speaker 4: I think my side is more equipped to win that

1341
01:07:22,533 --> 01:07:23,253
Speaker 4: battle than the other.

1342
01:07:23,893 --> 01:07:26,813
Speaker 2: Give me predictions for twenty twenty six.

1343
01:07:27,213 --> 01:07:29,413
Speaker 4: Yeah, well, we got to get our head screwed on straight.

1344
01:07:29,493 --> 01:07:33,453
Speaker 4: I mean there's a civil war in the Republican Party

1345
01:07:33,533 --> 01:07:36,493
Speaker 4: right now. I think Libertarians, where I find myself most

1346
01:07:36,533 --> 01:07:38,493
Speaker 4: of the day days are kind of left out of

1347
01:07:39,413 --> 01:07:43,693
Speaker 4: discourse and so many regards and so yeah, in twenty

1348
01:07:43,733 --> 01:07:48,693
Speaker 4: twenty six, I predict back and forth across the country.

1349
01:07:48,853 --> 01:07:50,253
Speaker 4: I don't think it's going to be a red wave

1350
01:07:50,333 --> 01:07:51,693
Speaker 4: or a blue wave. I think it's going to be

1351
01:07:51,733 --> 01:07:55,653
Speaker 4: largely purple. I think you're going to see places like California,

1352
01:07:55,693 --> 01:07:58,693
Speaker 4: which just approved its redistricting, you know, pick up five

1353
01:07:58,733 --> 01:08:00,893
Speaker 4: more Democratic seats. I think you're going to see Texas

1354
01:08:00,893 --> 01:08:03,493
Speaker 4: pick up five more Republican seats. But if you ask

1355
01:08:03,573 --> 01:08:05,493
Speaker 4: me who's going to win. I think Republicans will retain

1356
01:08:05,533 --> 01:08:08,733
Speaker 4: the House. I think the Senate map favors Republican this

1357
01:08:08,773 --> 01:08:13,413
Speaker 4: side of the rounds, and so I think that there's

1358
01:08:13,453 --> 01:08:17,253
Speaker 4: going to be probably a plus one situation happening there.

1359
01:08:17,933 --> 01:08:20,533
Speaker 4: And then yeah, ultimately this is going to be a

1360
01:08:20,573 --> 01:08:24,133
Speaker 4: referendum on Donald Trump's presidency. And so the worry I

1361
01:08:24,213 --> 01:08:26,213
Speaker 4: have as we look towards twenty twenty six is the

1362
01:08:26,253 --> 01:08:30,093
Speaker 4: word we used before, affordability. And if things continue to

1363
01:08:30,133 --> 01:08:33,053
Speaker 4: happen in terms of inflation, if prices continue to go up,

1364
01:08:33,213 --> 01:08:35,533
Speaker 4: then this is going to be a negative, negative campaign

1365
01:08:35,613 --> 01:08:38,493
Speaker 4: cycle for Republicans, and I don't want that to happen.

1366
01:08:39,093 --> 01:08:40,973
Speaker 4: But if we are able to write the ship, if

1367
01:08:40,973 --> 01:08:43,453
Speaker 4: the Supreme Court says Trump can do tariffs, I think

1368
01:08:43,453 --> 01:08:46,693
Speaker 4: you're going to see basis points happen with the Federal Reserve.

1369
01:08:46,733 --> 01:08:48,573
Speaker 4: It's going to go down, so interest rates come down,

1370
01:08:48,613 --> 01:08:51,773
Speaker 4: which then usually allows for more economic growth and steam

1371
01:08:51,893 --> 01:08:54,973
Speaker 4: behind it. Then you're going to see pickups by the GOP.

1372
01:08:55,333 --> 01:08:57,653
Speaker 4: And so this is not guaranteed. I think it's going

1373
01:08:57,693 --> 01:09:00,133
Speaker 4: to be purple no matter what. But if the Federal

1374
01:09:00,133 --> 01:09:02,453
Speaker 4: Reserve does what it's supposed to if President Trump was

1375
01:09:02,453 --> 01:09:04,773
Speaker 4: able to maintain his tariffs. I think you're going to

1376
01:09:04,773 --> 01:09:08,533
Speaker 4: see Republicans win in twenty twenty six barely, but rast

1377
01:09:08,573 --> 01:09:09,253
Speaker 4: will win too.

1378
01:09:09,253 --> 01:09:12,373
Speaker 2: Okay in the in the next round in twenty eight,

1379
01:09:13,133 --> 01:09:17,573
Speaker 2: and you've gone to JD and a Castes.

1380
01:09:17,773 --> 01:09:20,933
Speaker 4: Yeah, okay, yeah, I mean, I don't think AOC is

1381
01:09:20,973 --> 01:09:23,693
Speaker 4: going to be the leader of the Democratic Party. While

1382
01:09:23,693 --> 01:09:25,573
Speaker 4: she's immensely popular, I think she's going to get the

1383
01:09:25,573 --> 01:09:28,053
Speaker 4: Bernie Sanders treatment, which means that even though they're the

1384
01:09:28,053 --> 01:09:30,493
Speaker 4: most popular person, the super delegates will decide who the

1385
01:09:30,533 --> 01:09:32,413
Speaker 4: Democratic nominee is going to be, and I don't think

1386
01:09:32,413 --> 01:09:33,213
Speaker 4: that's going to be AOC.

1387
01:09:33,573 --> 01:09:34,213
Speaker 3: It's kind of funny.

1388
01:09:34,253 --> 01:09:37,053
Speaker 4: The Democratic Party is the most undemocratic when it comes

1389
01:09:37,053 --> 01:09:38,093
Speaker 4: to electing their leaders.

1390
01:09:38,373 --> 01:09:39,413
Speaker 3: It's so silly.

1391
01:09:39,973 --> 01:09:41,533
Speaker 4: But yeah, I think it's going to be either JD

1392
01:09:41,653 --> 01:09:43,613
Speaker 4: or Marco Rubio on the right and on the left.

1393
01:09:43,653 --> 01:09:46,413
Speaker 4: I actually see Gavin Newsom being the person who's running

1394
01:09:46,413 --> 01:09:48,213
Speaker 4: for president in twenty twenty eight that has the most steam.

1395
01:09:48,413 --> 01:09:48,613
Speaker 3: I know.

1396
01:09:48,693 --> 01:09:50,893
Speaker 4: Kamala Harris has said she wants to re enter the race,

1397
01:09:50,933 --> 01:09:53,533
Speaker 4: but she got demolished the first time they tried to

1398
01:09:53,533 --> 01:09:56,213
Speaker 4: put her in to the political system with zero votes,

1399
01:09:56,213 --> 01:09:58,333
Speaker 4: and then she lost again to President Trump in a

1400
01:09:58,333 --> 01:10:01,293
Speaker 4: sweeping fashion. President Trump won all of the swing states,

1401
01:10:01,693 --> 01:10:04,053
Speaker 4: won the popular vote, and so it just doesn't make

1402
01:10:04,093 --> 01:10:06,013
Speaker 4: sense for Kamala to run again at all. But I

1403
01:10:06,053 --> 01:10:07,573
Speaker 4: think it's going to be Gavin Newsom, and you can

1404
01:10:07,613 --> 01:10:10,413
Speaker 4: see him taking the steps now to run.

1405
01:10:10,933 --> 01:10:13,733
Speaker 2: Yes, you can. Is he believable?

1406
01:10:14,533 --> 01:10:14,733
Speaker 1: You know?

1407
01:10:15,813 --> 01:10:18,573
Speaker 2: Or is before you answer that, is he believable or

1408
01:10:18,693 --> 01:10:24,173
Speaker 2: is his presumed ability to adopt some of the approach

1409
01:10:24,213 --> 01:10:27,333
Speaker 2: that ma'm does he's adopted. Yeah, and I read a

1410
01:10:27,413 --> 01:10:29,533
Speaker 2: very good description of that, by the way, and how

1411
01:10:29,573 --> 01:10:33,693
Speaker 2: people got sucked in. But he's capable of succeeding.

1412
01:10:34,013 --> 01:10:36,253
Speaker 4: He's definitely capable of succeeding. And yeah, I was just

1413
01:10:36,253 --> 01:10:38,053
Speaker 4: going to admit my biases when I'm like, oh, do

1414
01:10:38,133 --> 01:10:39,893
Speaker 4: I think he's like a good person? Because I think

1415
01:10:39,933 --> 01:10:42,493
Speaker 4: the answer is no. But do I think that his

1416
01:10:42,573 --> 01:10:44,493
Speaker 4: supporters think he's a good person? Do I think he

1417
01:10:44,533 --> 01:10:47,973
Speaker 4: has the leadership to organize a coalition of people that

1418
01:10:48,013 --> 01:10:49,053
Speaker 4: want to support him for president?

1419
01:10:49,133 --> 01:10:50,253
Speaker 3: Yeah, the answer is yes. There.

1420
01:10:50,733 --> 01:10:52,853
Speaker 4: I think he'll be a very difficult person to beat too.

1421
01:10:53,013 --> 01:10:57,253
Speaker 4: He's very good at communicating, He's an exceptional orator, and

1422
01:10:57,293 --> 01:10:59,373
Speaker 4: he's been the governor of one of the largest states

1423
01:10:59,413 --> 01:11:01,493
Speaker 4: in America for quite some time, and so that's a

1424
01:11:01,493 --> 01:11:05,093
Speaker 4: lot of bonafide credentials if you're looking for someone to

1425
01:11:05,253 --> 01:11:07,173
Speaker 4: lead and you're on the left. So that's why I

1426
01:11:07,173 --> 01:11:09,333
Speaker 4: think Gavin Newsom will be then and twenty twenty eight,

1427
01:11:09,533 --> 01:11:12,133
Speaker 4: And honestly, I think they're gonna fay. He's gonna fight JD.

1428
01:11:12,253 --> 01:11:15,453
Speaker 4: Vance And I'm worried. I could see a Gavin Newsom

1429
01:11:15,533 --> 01:11:16,253
Speaker 4: toppling at JD.

1430
01:11:16,373 --> 01:11:16,653
Speaker 3: Vance.

1431
01:11:17,573 --> 01:11:19,893
Speaker 4: But it depends on how we play the Trump administration's

1432
01:11:20,133 --> 01:11:23,573
Speaker 4: final three years, because what happens there is going to

1433
01:11:23,653 --> 01:11:26,533
Speaker 4: be completely a referendum of what should happen moving forward.

1434
01:11:26,773 --> 01:11:29,413
Speaker 4: And if we fail, the Republicans fail, then you're gonna

1435
01:11:29,413 --> 01:11:31,933
Speaker 4: see Gavin Newsom walk into that office and who knows

1436
01:11:31,933 --> 01:11:33,093
Speaker 4: what's going to happen from there.

1437
01:11:33,253 --> 01:11:38,333
Speaker 2: Well, based on the witness that I've experienced today, I'd

1438
01:11:38,373 --> 01:11:40,253
Speaker 2: say that you two are a better ratter than he is.

1439
01:11:40,533 --> 01:11:41,133
Speaker 3: Oh, thank you.

1440
01:11:42,013 --> 01:11:46,093
Speaker 4: So maybe there's spice. Yeah, that's true. And again I'm

1441
01:11:46,133 --> 01:11:48,693
Speaker 4: doing everything I can on my side to make sure

1442
01:11:48,733 --> 01:11:51,333
Speaker 4: that's not the case. You know, Like I said, we

1443
01:11:51,413 --> 01:11:53,573
Speaker 4: talked about Charlie. I mean, he's put such a fire

1444
01:11:53,613 --> 01:11:55,533
Speaker 4: in me to keep working as hard as I can

1445
01:11:55,573 --> 01:11:57,693
Speaker 4: at this stuff. And I'm not the only one. There's

1446
01:11:57,693 --> 01:12:00,573
Speaker 4: so many people like me that are now really pressing

1447
01:12:00,653 --> 01:12:02,493
Speaker 4: the gas pedal. For a while, I thought I was

1448
01:12:02,493 --> 01:12:04,813
Speaker 4: gonna leave politics and kind of kind of take a

1449
01:12:04,853 --> 01:12:06,773
Speaker 4: bit more of a corporate world. You can make more

1450
01:12:06,773 --> 01:12:10,293
Speaker 4: money in AI helping corporate succeed than helping politicians succeed.

1451
01:12:10,333 --> 01:12:12,773
Speaker 4: I promise you that, And I felt like that was

1452
01:12:12,773 --> 01:12:14,973
Speaker 4: going to be my calling. And then I saw my

1453
01:12:15,013 --> 01:12:18,693
Speaker 4: best friend get shot on social media, and I'll tell

1454
01:12:18,733 --> 01:12:20,373
Speaker 4: you what, I've never had more of a fire to

1455
01:12:20,453 --> 01:12:22,573
Speaker 4: fight for freedom. And I think that's a lot of

1456
01:12:22,573 --> 01:12:25,373
Speaker 4: people out there. So my hope is that there's more

1457
01:12:25,373 --> 01:12:27,773
Speaker 4: people like me that are trying to fight for what's right.

1458
01:12:27,853 --> 01:12:31,573
Speaker 2: All right, So just to finish, because you've just mentioned it,

1459
01:12:31,693 --> 01:12:35,653
Speaker 2: watching that assassination, Yeah, they say that he talked about

1460
01:12:35,653 --> 01:12:38,093
Speaker 2: it happening. What can you add to that.

1461
01:12:38,453 --> 01:12:40,653
Speaker 4: Yeah, I don't remember the exact podcast, but I remember

1462
01:12:40,693 --> 01:12:44,013
Speaker 4: seeing something in the past of him talking about it,

1463
01:12:44,373 --> 01:12:46,933
Speaker 4: and one of them was actually from the Iced Coffee

1464
01:12:46,933 --> 01:12:49,733
Speaker 4: Hour with Graham Stephan and one of the hosts there

1465
01:12:49,733 --> 01:12:51,733
Speaker 4: asked him, how do you want to be remembered, and

1466
01:12:52,253 --> 01:12:55,453
Speaker 4: he wanted to be remembered as an amazing father, he

1467
01:12:55,493 --> 01:12:58,613
Speaker 4: wanted to be remember as starting an incredible political organization,

1468
01:12:58,813 --> 01:13:01,413
Speaker 4: to be a podcast host, etc. And the guy said,

1469
01:13:01,413 --> 01:13:03,573
Speaker 4: it sounds like you're all those things right now. He's like, yeah,

1470
01:13:03,573 --> 01:13:06,333
Speaker 4: then I guess I've done my job right And yeah,

1471
01:13:06,333 --> 01:13:09,333
Speaker 4: I think when it comes to true Arlie and his legacy,

1472
01:13:09,533 --> 01:13:11,653
Speaker 4: I mean, there's no one who's been more meteoric and

1473
01:13:11,733 --> 01:13:14,453
Speaker 4: a rise and that was a future president in my eyes,

1474
01:13:14,733 --> 01:13:17,253
Speaker 4: I think that was really somebody who already had changed

1475
01:13:17,293 --> 01:13:19,093
Speaker 4: the world, but had a lot left to give and

1476
01:13:19,213 --> 01:13:22,333
Speaker 4: was taken from us far too short. But again, he

1477
01:13:22,373 --> 01:13:24,933
Speaker 4: gave us so much already, and there's so much ammunition,

1478
01:13:25,053 --> 01:13:27,093
Speaker 4: and there's so much of his spirit and everything that

1479
01:13:27,093 --> 01:13:29,773
Speaker 4: we do, and so I'm very, very encouraged for the future.

1480
01:13:29,773 --> 01:13:32,453
Speaker 4: And his legacy lives on. There's an old adage in

1481
01:13:32,533 --> 01:13:36,133
Speaker 4: America that says heroes get remembered, but legends never die,

1482
01:13:36,653 --> 01:13:39,333
Speaker 4: and so yeah, Charlie was far beyond a hero. He

1483
01:13:39,373 --> 01:13:42,373
Speaker 4: was a legend, and his legend and his legacy is

1484
01:13:42,413 --> 01:13:43,293
Speaker 4: never going to die.

1485
01:13:43,493 --> 01:13:46,253
Speaker 2: Stephen Rohoe I hope you come back. It's made a

1486
01:13:46,253 --> 01:13:50,013
Speaker 2: pleasure and New Zealand just could be a little bit

1487
01:13:50,053 --> 01:13:51,533
Speaker 2: better place after your visit.

1488
01:13:51,693 --> 01:13:53,493
Speaker 4: Hey, thank you so much. It's been an absolute honor.

1489
01:13:53,493 --> 01:13:55,453
Speaker 4: You've got an amazing studio and it's an honor to

1490
01:13:55,533 --> 01:13:57,133
Speaker 4: be the third ish person here.

1491
01:13:57,173 --> 01:13:57,693
Speaker 3: It's awesome.

1492
01:14:11,253 --> 01:14:13,493
Speaker 2: Here we are into the bail room for podcast three

1493
01:14:13,573 --> 01:14:15,533
Speaker 2: hundred and ten. Missus producer, How are.

1494
01:14:15,453 --> 01:14:16,173
Speaker 3: You, Laighton?

1495
01:14:16,733 --> 01:14:18,693
Speaker 5: Oh, it's really really good to be here this week.

1496
01:14:18,773 --> 01:14:19,213
Speaker 3: Thank you.

1497
01:14:19,613 --> 01:14:25,933
Speaker 2: Yes, I understand many wouldn't, but I certainly do. So

1498
01:14:26,013 --> 01:14:26,693
Speaker 2: what have we got?

1499
01:14:27,533 --> 01:14:30,133
Speaker 5: Lake and Christine says that was one of the very

1500
01:14:30,133 --> 01:14:32,973
Speaker 5: best interviews that I've ever heard, and she's talking about

1501
01:14:33,013 --> 01:14:36,053
Speaker 5: Tony Coleman. How can one person know so much? I

1502
01:14:36,053 --> 01:14:38,653
Speaker 5: would love my son, who's an economics teacher, to play

1503
01:14:38,693 --> 01:14:42,573
Speaker 5: it for his class. It's just so informative and comprehensible.

1504
01:14:42,813 --> 01:14:47,053
Speaker 5: What a lovely gentleman he is. What an absolute manipulator.

1505
01:14:47,093 --> 01:14:49,693
Speaker 5: Bill Gates's what worries me is that now he's over

1506
01:14:49,733 --> 01:14:52,653
Speaker 5: the climate change con what will his next Tobby hawesby

1507
01:14:52,853 --> 01:14:57,293
Speaker 5: another plandemic, perhaps that last COVID con our countries in

1508
01:14:57,333 --> 01:15:01,013
Speaker 5: the world very successfully. Gates only goes where money can

1509
01:15:01,053 --> 01:15:04,013
Speaker 5: be made. He's no philanthropist, he's a common con man.

1510
01:15:05,133 --> 01:15:08,973
Speaker 5: If we could stop following this climate change bs wouldn't

1511
01:15:08,973 --> 01:15:10,853
Speaker 5: have such a hold on the world with their supply

1512
01:15:10,973 --> 01:15:15,213
Speaker 5: of rare earth minerals. No more windmills, solar panels, nor

1513
01:15:15,213 --> 01:15:19,773
Speaker 5: electric cars. They just don't work. Once again, follow the money.

1514
01:15:19,773 --> 01:15:22,253
Speaker 5: It's just another con for the poor, gullible idiots to

1515
01:15:22,333 --> 01:15:23,613
Speaker 5: run too many countries.

1516
01:15:23,693 --> 01:15:24,653
Speaker 3: And that's from Chris.

1517
01:15:24,813 --> 01:15:29,133
Speaker 2: Chris. Interesting, actually, and off the back of that, Trump

1518
01:15:29,253 --> 01:15:32,853
Speaker 2: is wrong. Climate change is not a scam. Now, before

1519
01:15:32,893 --> 01:15:34,773
Speaker 2: you all freak out, let's just hear the rest of it.

1520
01:15:35,493 --> 01:15:38,693
Speaker 2: As Jane Smith correctly put in her excellent article the

1521
01:15:38,693 --> 01:15:41,733
Speaker 2: New Zealand Herald on the sixth of November, the climate

1522
01:15:41,773 --> 01:15:44,973
Speaker 2: has always changed, otherwise we would still be in the

1523
01:15:45,253 --> 01:15:49,853
Speaker 2: ice age. Her article exposes the considerable distance that exists

1524
01:15:49,853 --> 01:15:54,493
Speaker 2: between climate science and climate politics. She highlights the folly

1525
01:15:54,653 --> 01:15:57,853
Speaker 2: of ignoring the science of the carbon cycle as it

1526
01:15:57,893 --> 01:16:02,973
Speaker 2: relates to biogenic methane, particularly in the case of livestock farming.

1527
01:16:03,373 --> 01:16:07,693
Speaker 2: Climate politics focuses entirely on methane emissions and ignores the

1528
01:16:08,013 --> 01:16:13,653
Speaker 2: harping of atmospheric CO two In agricultural food production. Food

1529
01:16:13,853 --> 01:16:18,813
Speaker 2: is carbon and carbons food a byproduct is methane, which

1530
01:16:18,893 --> 01:16:22,693
Speaker 2: is returned to the atmosphere from which it originated. Our

1531
01:16:22,773 --> 01:16:27,493
Speaker 2: lush green pastures are of vital carbon sink in that process,

1532
01:16:28,093 --> 01:16:31,413
Speaker 2: no less efficient than the trees that climate politics claims

1533
01:16:31,853 --> 01:16:37,293
Speaker 2: will save the world. The politics, what have you believe?

1534
01:16:37,413 --> 01:16:41,693
Speaker 2: That forests are all about carbon capture? Never mentioned are

1535
01:16:41,733 --> 01:16:44,453
Speaker 2: the methane emissions that occur in the same way as

1536
01:16:44,493 --> 01:16:49,093
Speaker 2: for agriculture. Tons of forest floor litter are digested by

1537
01:16:49,333 --> 01:16:53,573
Speaker 2: soil microbes and the resulting methane is returned to the atmosphere.

1538
01:16:54,173 --> 01:16:58,693
Speaker 2: Imagine if the true balance of the carbon cycle was recognized,

1539
01:16:59,253 --> 01:17:02,453
Speaker 2: the Greens claim that agriculture is responsible for forty eight

1540
01:17:02,493 --> 01:17:06,853
Speaker 2: percent of New Zealand's emissions would be debunked. The Greens

1541
01:17:06,933 --> 01:17:10,373
Speaker 2: claim that agriculture sure is responsible for forty eight percent

1542
01:17:10,413 --> 01:17:13,533
Speaker 2: of New Zealand emissions would be debunked, and the billions

1543
01:17:13,573 --> 01:17:18,453
Speaker 2: of dollars we pay into the ets could build hospitals instead.

1544
01:17:19,173 --> 01:17:27,213
Speaker 2: Clearly the real scam is climate politics. George, It's all

1545
01:17:27,333 --> 01:17:30,213
Speaker 2: very good. I just don't understand what you're talking about

1546
01:17:30,213 --> 01:17:33,773
Speaker 2: at the top, and you're opening Trump is wrong. Climate

1547
01:17:33,853 --> 01:17:37,293
Speaker 2: change is not a scam. The climate change of politics

1548
01:17:37,333 --> 01:17:39,693
Speaker 2: that you go on to talk about is a scam.

1549
01:17:40,533 --> 01:17:43,893
Speaker 2: And that's the beginning. So you've got me confused, So

1550
01:17:44,093 --> 01:17:45,013
Speaker 2: follow up if you would.

1551
01:17:46,333 --> 01:17:48,893
Speaker 5: Clayton Jin says, I really appreciate that you've got Tony

1552
01:17:48,933 --> 01:17:51,733
Speaker 5: Coleman from New Zealand Golden Merchants to talk about gold

1553
01:17:51,773 --> 01:17:56,333
Speaker 5: as an alternative to diversifying investments. This is an increasingly

1554
01:17:56,413 --> 01:18:01,133
Speaker 5: important topic given the evil World Economic Forum. Elite types

1555
01:18:01,173 --> 01:18:04,133
Speaker 5: are all scheming to gain control over our hard earned

1556
01:18:04,133 --> 01:18:10,053
Speaker 5: wealth by enforcing cbdc's down our throats. Until your recent podcast,

1557
01:18:10,133 --> 01:18:13,053
Speaker 5: I haven't personally come across any New Zealand podcasts that

1558
01:18:13,133 --> 01:18:16,453
Speaker 5: cover the topic of gold. While we are more familiar

1559
01:18:16,453 --> 01:18:21,573
Speaker 5: with investing in kiwisaver managed funds, company shares or even cryptocurrency,

1560
01:18:22,173 --> 01:18:24,453
Speaker 5: many are not so sure how to deal with gold,

1561
01:18:24,853 --> 01:18:27,813
Speaker 5: how to buy, when to buy, where to store, how

1562
01:18:27,853 --> 01:18:31,613
Speaker 5: to safeguard, how to bequeath and as with all investments,

1563
01:18:31,733 --> 01:18:33,493
Speaker 5: how rich do you have to be before you can

1564
01:18:33,533 --> 01:18:36,893
Speaker 5: even dabble in gold? Thanks again, lateon. This is why

1565
01:18:36,933 --> 01:18:39,573
Speaker 5: I never miss a single podcast of yours ever since

1566
01:18:39,613 --> 01:18:40,173
Speaker 5: you started.

1567
01:18:40,533 --> 01:18:44,933
Speaker 2: Very generous, Thank you and most of those questions were answered,

1568
01:18:44,973 --> 01:18:51,293
Speaker 2: I think from Deborah Wow. I thought, well, this could

1569
01:18:51,293 --> 01:18:55,093
Speaker 2: be a bit boring. How wrong I was. Tony Coleman

1570
01:18:55,213 --> 01:18:59,293
Speaker 2: had such a pleasant, easy to listen to voice, and

1571
01:18:59,333 --> 01:19:02,573
Speaker 2: I could understand everything he said. Meantime, I sometimes get

1572
01:19:02,613 --> 01:19:05,973
Speaker 2: confused listening to investment people. Well done and.

1573
01:19:05,933 --> 01:19:08,973
Speaker 3: Thank you from debs, and.

1574
01:19:09,173 --> 01:19:12,413
Speaker 2: I'm knocked this one off too. New York is fast

1575
01:19:12,493 --> 01:19:17,933
Speaker 2: becoming London London. The election of Zoran Mamdani as New

1576
01:19:18,013 --> 01:19:22,733
Speaker 2: York's mayor is an unbridled display of peak insanity. I

1577
01:19:22,773 --> 01:19:26,253
Speaker 2: guess inmates will always elect the joker to rule the asylum.

1578
01:19:26,653 --> 01:19:29,093
Speaker 2: I find it ironic that during the last US election,

1579
01:19:29,573 --> 01:19:33,173
Speaker 2: the Democrats keep screaming, or kept screaming at Donald Trump

1580
01:19:33,213 --> 01:19:36,933
Speaker 2: to turn down the heat while calling him hitler and

1581
01:19:37,013 --> 01:19:40,013
Speaker 2: then trying to assassinate him. Yet as soon as man

1582
01:19:40,093 --> 01:19:44,333
Speaker 2: Dabi was elected, Mamdani was yelling at Trump to turn

1583
01:19:44,373 --> 01:19:50,013
Speaker 2: the volume up. The progressive left are truly certifiably insane.

1584
01:19:50,573 --> 01:19:55,213
Speaker 2: I find it difficult to debate that they're rebranding Mamdani's

1585
01:19:55,253 --> 01:20:01,253
Speaker 2: communism as democratic socialism. Ben Shapiro recently defined democratic socialism

1586
01:20:01,413 --> 01:20:05,853
Speaker 2: merely as communism achieved through democratic means. In fact, he

1587
01:20:06,093 --> 01:20:10,173
Speaker 2: hilariously suggested that if we wanted what Mandani will become

1588
01:20:10,173 --> 01:20:13,133
Speaker 2: in future, just look at Bernie Sanders, who is like

1589
01:20:13,173 --> 01:20:17,453
Speaker 2: the old version of Mamdani. And New York had ample

1590
01:20:17,493 --> 01:20:21,173
Speaker 2: opportunity to learn from the mistakes of others. London elected

1591
01:20:21,173 --> 01:20:24,653
Speaker 2: a Muslim mayor in Sidik Khan, New Zealand elected the

1592
01:20:24,693 --> 01:20:28,573
Speaker 2: country's youngest PM ever, and Jacinda Adern. Canada elected a

1593
01:20:28,693 --> 01:20:33,253
Speaker 2: charismatic PM in Justin Trudeau. Was he really charismatic? He

1594
01:20:33,293 --> 01:20:37,093
Speaker 2: never appealed to me. London, New Zealand, and Canada are

1595
01:20:37,213 --> 01:20:43,093
Speaker 2: still all reeling from these ideologically possessed leaders. Hegel's observation

1596
01:20:43,333 --> 01:20:46,493
Speaker 2: that we learn from history that we do not learn

1597
01:20:46,533 --> 01:20:50,853
Speaker 2: from history is repeating itself before our very eyes. New York,

1598
01:20:51,413 --> 01:20:56,613
Speaker 2: you've now got the joker, where's Batman? And that we'll

1599
01:20:56,613 --> 01:20:57,373
Speaker 2: do for this week.

1600
01:20:57,853 --> 01:20:59,773
Speaker 3: Thanks so much, lighton, Thank you so much.

1601
01:20:59,813 --> 01:21:02,493
Speaker 2: Now go out and take care. Oh well, have a

1602
01:21:02,533 --> 01:21:06,613
Speaker 2: lovely day. Thank you, see you next week, Layton Smith.

1603
01:21:17,613 --> 01:21:20,973
Speaker 2: Now before we go, let me hint at next week's

1604
01:21:21,133 --> 01:21:23,213
Speaker 2: a little which is something I don't like doing. I've

1605
01:21:23,213 --> 01:21:25,693
Speaker 2: done it once or twice in the past, and on

1606
01:21:25,733 --> 01:21:29,613
Speaker 2: each occasion something went wrong, But on this occasion I'm

1607
01:21:29,613 --> 01:21:34,293
Speaker 2: pretty well, I'm reasonably sure that it won't because next

1608
01:21:34,293 --> 01:21:36,773
Speaker 2: week's in of viewer is already in the can. But

1609
01:21:36,853 --> 01:21:39,293
Speaker 2: there is a considerable amount of talk around at the

1610
01:21:39,333 --> 01:21:44,213
Speaker 2: moment about the state of England, the state of Britain

1611
01:21:44,253 --> 01:21:48,893
Speaker 2: if you want, the British Isles, whatever, but England in particular,

1612
01:21:49,173 --> 01:21:53,013
Speaker 2: and it goes like this, will there always be in England?

1613
01:21:53,133 --> 01:21:55,773
Speaker 2: And I'll leave you with this follow up. There will

1614
01:21:55,813 --> 01:21:58,853
Speaker 2: always be in England, but only if there are always Englishmen.

1615
01:21:59,613 --> 01:22:02,293
Speaker 2: There will only be Englishmen if Englishmen are willing to

1616
01:22:02,293 --> 01:22:05,453
Speaker 2: struggle for their identity as a people. That is, if

1617
01:22:05,493 --> 01:22:07,893
Speaker 2: being English means as much to them as it meant

1618
01:22:07,893 --> 01:22:11,813
Speaker 2: to their ends sisters, does it for the first time

1619
01:22:12,573 --> 01:22:15,733
Speaker 2: since the tenth century emergence of the English as a

1620
01:22:15,853 --> 01:22:19,173
Speaker 2: nation out of the chaos of Anglo Saxon tribes. That

1621
01:22:19,693 --> 01:22:23,493
Speaker 2: is the question. If you'd like to write to us

1622
01:22:23,773 --> 01:22:27,613
Speaker 2: Layton at NEWSTALKSIB dot Co dot NZ, Layton at NEWSTALKSB

1623
01:22:27,733 --> 01:22:31,933
Speaker 2: dot Co dot MZ Carolyn at newstalksb dot Co dot NZ,

1624
01:22:32,813 --> 01:22:37,053
Speaker 2: we shall return with three hundred and eleven. Until then,

1625
01:22:37,093 --> 01:22:39,733
Speaker 2: thank you so much for listening and we'll talk soon.

1626
01:22:47,613 --> 01:22:51,533
Speaker 1: Thank you for more from News Talks, EDB. Listen live

1627
01:22:51,733 --> 01:22:54,453
Speaker 1: on air or online, and keep our shows with you

1628
01:22:54,533 --> 01:22:57,533
Speaker 1: wherever you go with our podcasts on iHeartRadio