Machines Like Us

Machines Like Us is a technology show about people. We are living in an age of breakthroughs propelled by advances in artificial intelligence. Technologies that were once the realm of science fiction will become our reality: robot best friends, bespoke gene editing, brain implants that make us smarter. Every other Tuesday Taylor Owen sits down with the people shaping this rapidly approaching future. He’ll speak with entrepreneurs building world-changing technologies, lawmakers trying to ensure they’re safe, and journalists and scholars working to understand how they’re transforming our lives.

  1. Jul 7

    Canada’s AI minister to Big Tech: “We Won’t be a Digital Colony’

    “AI for All.” That’s what Canada’s federal government is calling its national AI strategy. It makes the case for building AI with confidence: a homegrown supercomputer by 2031, 60 per cent adoption by 2034. But the new strategy offers little about how it will govern the technology.  Ottawa attempted to answer those concerns with two landmark bills: the Safe Social Media Act, which regulates social media platforms and AI chatbots, and the Protecting Privacy and Consumer Data Act, which brings Canada’s privacy laws into the AI era. Together, these bills give the country something it’s never had: a single digital regulator with power to hold companies responsible.  It’s the most ambitious tech policy move this country has seen. And it’s drawing fire from every direction. Critics say a superregulator gives too much power to the government, that privacy and data should be treated separately, and that this is part of a wider government effort to control speech. To dig into the details, we sat down with Evan Solomon, Canada’s first Minister of Artificial Intelligence and the architect of this agenda. We talk about why data means something new in the age of AI, how this regulator would actually work, and whether it could have stopped something like Grok’s controversial nudification feature – a case the current Privacy Commissioner says he’s powerless to stop. Mentioned: Canada’s National Artificial Intelligence Strategy: AI for All Backgrounder: Government of Canada introduces legislation to Protect Canadians’ Privacy in the Digital Age Bill C-34, the Safe Social Media Act Elon Musk's Grok AI tool under fire over digital undressing Canada’s privacy commissioner expands investigation into ‘X’ over ‘Grok’ Yes, Musk's Grok chatbot is 'digitally undressing' women and children • FRANCE 24 English Privacy Commissioner of Canada investigation into the Grok chatbot and sexualized deepfakes finds companies violated privacy law Commissioner-initiated complaints concerning X Corp.’s and X.AI LLC’s compliance with PIPEDA Canada has access to Anthropic’s powerful Mythos AI model, minister says Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    Canada’s AI minister to Big Tech: “We Won’t be a Digital Colony’
  2. Jun 23

    We Can Now Bet on Almost Anything. Should We?

    Human beings have always loved to gamble. Archeological records suggest we’ve been doing it for the last 12,000 years, since the end of the last Ice Age. But for as long as we’ve been playing games of chance, we’ve worried about what they might be doing to us. For thousands of years, everyone from Aristotle to George Washington condemned gambling, an ancient anxiety that ran so deep it became something like a moral consensus. And then that consensus evaporated. In the span of a decade, both Canada and the US legalized sports betting. Now anyone with a smartphone and a credit card can wager on basketball, hockey, or American cornhole. But it turned out that was just the beginning. A few years later came “prediction markets” like Kalshi and Polymarket that let you bet on, well, just about anything: whether the US will invade Cuba, the odds of James Comey being sent to prison, and whether Jesus Christ will return before 2027. That last one, by the way, is currently sitting at 3 per cent on Polymarket. If betting on missile strikes, military coups, and political prosecutions feels kind of gross, I’m with you. But James Surowiecki thinks we should give prediction markets a chance. Surowiecki is the author of The Wisdom of Crowds, a book he wrote more than 20 years ago, where he argued that large groups of ordinary people are actually better than experts at making predictions. It’s become something of a foundational text for these markets: the idea that they can crowdsource knowledge, aggregate what millions of people believe about the future, and use that signal to make better decisions. So I wanted to have James on to make the case for prediction markets, and to see if he could make me feel just a little less squeamish about a world where you can gamble on everything. Mentioned The Wisdom of Crowds, by James Surowiecki (Doubleday, 2004).  Francis Galton, “Vox Populi,” Nature 75 (1907): 450–451 — the–ox-weighing experiment. The 1986 Challenger disaster and Morton Thiokol’s stock: Maloney & Mulherin, “The complexity of price discovery in an efficient market,” Journal of Financial Economics (2003).  Kalshi (prediction market platform). Polymarket (prediction market platform). The 2024 “French whale” (Théo), who used neighbour polls to bet roughly $85M on a Trump win — CBS–News / 60 Minutes. The Polymarket trader’s well-timed bets on the June 2025 US strikes on Iran — CNN– The market on the length of a Karoline Leavitt White House briefing Coinbase CEO Brian Armstrong and the earnings-call “mention markets” — Tec–Crunch. The market on Maduro’s removal and the ~$400K Venezuela payout — PBS–NewsHour. The Zohran Mamdani NYC mayoral market — DL –ews. The market on Bad Bunny’s first Super Bowl LX song — Pol–market. DARPA’s Policy Analysis Market (the “terrorism futures” proposal, cancelled after backlash in 2003) — CNN–(2003). The 1979 Iranian Revolution as a US intelligence failure — Nat–onal Security Archive, George Washington University. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    We Can Now Bet on Almost Anything. Should We?

Hosts & Guests

4.6
out of 5
12 Ratings

About

Machines Like Us is a technology show about people. We are living in an age of breakthroughs propelled by advances in artificial intelligence. Technologies that were once the realm of science fiction will become our reality: robot best friends, bespoke gene editing, brain implants that make us smarter. Every other Tuesday Taylor Owen sits down with the people shaping this rapidly approaching future. He’ll speak with entrepreneurs building world-changing technologies, lawmakers trying to ensure they’re safe, and journalists and scholars working to understand how they’re transforming our lives.

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