Machines Like Us

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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. Geoffrey Hinton vs. The End of the World

    17 小時前

    Geoffrey Hinton vs. The End of the World

    The story of how Geoffrey Hinton became “the godfather of AI” has reached mythic status in the tech world. While he was at the University of Toronto, Hinton pioneered the neural network research that would become the backbone of modern AI. (One of his students, Ilya Sutskever, went on to be one of OpenAI’s most influential scientific minds.) In 2013, Hinton left the academy and went to work for Google, eventually winning both a Turing Award and a Nobel Prize. I think it’s fair to say that artificial intelligence as we know it, may not exist without Geoffrey Hinton. But Hinton may be even more famous for what he did next. In 2023, he left Google and began a campaign to convince governments, corporations and citizens that his life’s work – this thing he helped build – might lead to our collective extinction. And that moment may be closer than we think, because Hinton believes AI may already be conscious. But even though his warnings are getting more dire by the day, the AI industry is only getting bigger, and most governments, including Canada’s, seem reluctant to get in the way. So I wanted to ask Hinton: If we keep going down this path, what will become of us? Mentioned: If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI, by Eliezer Yudkowsky and Nate Soares Agentic Misalignment: How LLMs could be insider threats, by Anthropic Machines Like Us is produced by Mitchell Stuart. Our theme song is by Chris Kelly. Video editing by Emily Graves. Our executive producer is James Milward. Special thanks to Angela Pacienza and the team at The Globe and Mail. Support for Machines Like Us is provided by CIFAR and the Max Bell School of Public Policy at McGill University. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    1 小時 9 分鐘
  2. AI is Upending Higher Education. Is That a Bad Thing?

    9月23日

    AI is Upending Higher Education. Is That a Bad Thing?

    Just two months after ChatGPT was launched in 2022, a survey found that 90 per cent of college students were already using it. I’d be shocked if that number wasn’t closer to 100 per cent by now. Students aren’t just using artificial intelligence to write their essays. They’re using it to generate ideas, conduct research, and summarize their readings. In other words: they’re using it to think for them. Or, as New York Magazine recently put it: “everyone is cheating their way through college.” University administrators seem paralyzed in the face of this. Some worry that if we ban tools like ChatGPT, we may leave students unprepared for a world where everyone is already using them. But others think that if we go all in on AI, we could end up with a generation capable of producing work – but not necessarily original thought. I’m honestly not sure which camp I fall into, so I wanted to talk to two people with very different perspectives on this. Conor Grennan is the Chief AI Architect at NYU’s Stern School of Business, where he’s helping students and educators embrace AI. And Niall Ferguson is a senior fellow at Stanford and Harvard, and the co-founder of the University of Austin. Lately, he’s been making the opposite argument: that if universities are to survive, they largely need to ban AI from the classroom. Whichever path we take, the consequences will be profound. Because this isn’t just about how we teach and how we learn – it’s about the future of how we think. Mentioned: AI’s great brain robbery – and how universities can fight back, by Niall Ferguson (The London Times) Everyone Is Cheating Their Way Through College, by James D. Walsh (New York Magazine) Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task, by Nataliya Kos’myna (MIT Media Lab) The Diamond Age, by Neal Stephenson How the Enlightenment Ends, by Henry A. Kissinger Machines Like Us is produced by Mitchell Stuart. Our theme song is by Chris Kelly. Host direction by Athena Karkanis. Video editing by Emily Graves. Our executive producer is James Milward. Special thanks to Angela Pacienza and the team at the Globe & Mail. Support for Machines Like Us is provided by CIFAR and the Max Bell School of Public Policy at McGill University. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    50 分鐘
  3. Jim Balsillie: ‘Canada’s Problem Isn’t Trump. Canada’s Problem Is Canada’

    4月22日

    Jim Balsillie: ‘Canada’s Problem Isn’t Trump. Canada’s Problem Is Canada’

    In the chaotic early months of his second term, Donald Trump has attacked the Canadian economy and mused about turning Canada into the “51st state.” Now, after decades of close allyship with the U.S., our relationship with America has suddenly become fraught. Which means that Canadians are now starting to ask what a more sovereign Canada might look like – a question Jim Balsillie has been thinking about for 30 years. Balsillie is the former co-CEO of Research in Motion, the company that developed the Blackberry, and is one of the most successful business people in Canada. He’s also one of the patriotic, which makes his recent criticism of our country that much more meaningful. As Balsillie has pointed out, our GDP per capita is currently about 70% of what it is in the U.S., our productivity growth has been abysmal for years, and our high cost of living means that 1 in 4 Canadians are now food insecure. But, according to Balsillie, none of this can be blamed on Trump. He thinks that over the last thirty years we’ve clung to an outdated economic model and have allowed our politics to be captured by corporate interests. So, with less than a week to go before the federal election, I thought it was the perfect time to sit down with Jim and ask him how we might build a stronger, more sovereign Canada. Mentioned: “Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS),” The World Trade Organization “Reinforcing Canada’s security and sovereignty in the Arctic,” Prime Minister of Canada “Ontario Welcomes Siemens’ $150 Million Investment to Establish New Technology Centre in Oakville,” news release from the Government of Ontario Further Reading: “We are all economic nationalists now,” by Jim Balsillie (National Post) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    1 小時 9 分鐘
  4. The Changing Face of Election Interference

    4月8日

    The Changing Face of Election Interference

    We’re a few weeks into a federal election that is currently too close to call. And while most Canadians are wondering who our next Prime Minister will be, my guests today are preoccupied with a different question: will this election be free and fair? In her recent report on foreign interference, Justice Marie-Josée Hogue wrote that “information manipulation poses the single biggest risk to our democracy”. Meanwhile, senior Canadian intelligence officials are predicting that India, China, Pakistan and Russia will all attempt to influence the outcome of this election. To try and get a sense of what we’re up against, I wanted to get two different perspectives on this. My colleague Aengus Bridgman is the Director of the Media Ecosystem Observatory, a project that we run together at McGill University, and Nina Jankocwicz is the co-founder and CEO of the American Sunlight Project. Together, they are two of the leading authorities on the problem of information manipulation. Mentioned: “Public Inquiry Into Foreign Interference in Federal Electoral Processes and Democratic Institutions,” by the Honourable Marie-Josée Hogue "A Pro-Russia Content Network Foreshadows the Automated Future of Info Ops,” by the American Sunlight Project Further Reading: “Report ties Romanian liberals to TikTok campaign that fueled pro-Russia candidate,” by Victor Goury-Laffont (Politico) “2025 Federal Election Monitoring and Response,” by the Canadian Digital Media Research Network “Election threats watchdog detects Beijing effort to influence Chinese Canadians on Carney,” by Steven Chase (Globe & Mail) “The revelations and events that led to the foreign-interference inquiry,” by Steven Chase and Robert Fife (Globe & Mail) “Foreign interference inquiry finds ‘problematic’ conduct,” by The Decibel Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    39 分鐘
  5. How Do You Report the News in a Post-Truth World?

    3月25日

    How Do You Report the News in a Post-Truth World?

    If you’re having a conversation about the state of journalism, it’s bound to get a little depressing.  Since 2008, more than 250 local news outlets have closed down in Canada. The U.S. has lost a third of the newspapers they had in 2005. But this is about more than a failing business model. Only 31 percent of Americans say they trust the media. In Canada, that number is a little bit better – but only a little.  The problem is not just that people are losing their faith in journalism. It’s that they’re starting to place their trust in other, often more dubious sources of information: TikTok influencers, Elon Musk’s X feed, and The Joe Rogan Experience.  The impact of this shift can be seen almost everywhere you look. 15 percent of Americans believe climate change is a hoax. 30 percent believe the 2020 election was stolen. 10 percent believe the earth is flat.  A lot of this can be blamed on social media, which crippled journalism's business model and led to a flourishing of false information online. But not all of it. People like Jay Rosen have long argued that journalists themselves are at least partly responsible for the post-truth moment we now find ourselves in.  Rosen is a professor of journalism at NYU who’s been studying, critiquing, and really shaping, the press for nearly 40 years. He joined me a couple of weeks ago at the Attention conference in Montreal to explain how we got to this place – and where we might go from here.  A note: we recorded this interview before the Canadian election was called, so we don’t touch on it here. But over the course of the next month, the integrity of our information ecosystem will face an inordinate amount of stress, and conversations like this one will be more important than ever.    Mentioned: "Digital News Report Canada 2024 Data: An Overview," by Colette Brin, Sébastien Charlton, Rémi Palisser, Florence Marquis  "America’s News Influencers,"  by Galen Stocking, Luxuan Wang, Michael Lipka, Katerina Eva Matsa,Regina Widjaya,Emily Tomasik andJacob Liedke Further Reading:  "Challenges of Journalist Verification in the Digital Age on Society: A Thematic Review," Melinda Baharom, Akmar Hayati Ahmad Ghazali, Abdul Muati, Zamri Ahmad "Making Newsworthy News: The Integral Role of Creativity and Verification in the Human Information Behavior that Drives News Story Creation," Marisela Gutierrez Lopez, Stephann Makri, Andrew MacFarlane, Colin Porlezza, Glenda Cooper, Sondess Missaoui "The Trump Administration and the Media (2020)," by Leonard Downie Jr. for the Committee to Protect Journalists. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    37 分鐘
  6. A Chinese Company Upended OpenAI. We May Be Looking at the Story All Wrong.

    3月11日

    A Chinese Company Upended OpenAI. We May Be Looking at the Story All Wrong.

    When the American company OpenAI released ChatGPT, it was the first time that a lot of people had ever interacted with Generative AI. ChatGPT has become so popular that, for many, it’s now synonymous with artificial intelligence. But that may be changing. Earlier this year a Chinese startup called DeepSeek launched its own AI chatbot, sending shockwaves across Silicon Valley. According to DeepSeek, their model – DeepSeek-R1 – is just as powerful as ChatGPT but was developed at a fraction of the cost. In other words, this isn’t just a new company, it could be an entirely different approach to building artificial intelligence. To try and understand what DeepSeek means for the future of AI, and for American innovation, I wanted to speak with Karen Hao. Hao was the first reporter to ever write a profile on OpenAI and has covered AI for The MIT Tech Review, The Atlantic and the Wall Street Journal. So she’s better positioned than almost anyone to try and make sense of this seemingly monumental shift in the landscape of artificial intelligence. Mentioned: “The messy, secretive reality behind OpenAI’s bid to save the world,” by Karen Hao Further Reading: “DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning,” by DeepSeek-AI and others. “A Comparison of DeepSeek and Other LLMs,” by Tianchen Gao, Jiashun Jin, Zheng Tracy Ke, Gabriel Moryoussef “Technical Report: Analyzing DeepSeek-R1′s Impact on AI Development,” by Azizi Othman Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    40 分鐘
  7. Big Tech Hijacked Our Attention. Chris Hayes Wants To Win It Back.

    2月25日

    Big Tech Hijacked Our Attention. Chris Hayes Wants To Win It Back.

    Do I have your attention right now? I’m guessing probably not. Or, at least, not all of it. In all likelihood, you’re listening to this on your morning commute, or while you wash the dishes or check your e-mail. We are living in a world of perpetual distraction. There are more things to read, watch and listen to than ever before – but our brains, it turns out, can only absorb so much. Politicians like Donald Trump have figured out how to exploit this dynamic. If you’re constantly saying outrageous things, it becomes almost impossible to focus on the things that really matter. Trump’s former strategist Steve Bannon called this strategy “flooding the zone.” As the host of the MSNBC show All In, Chris Hayes has had a front-row seat to the war for our attention – and, now, he’s decided to sound the alarm with a new book called The Sirens’ Call: How Attention Became the World’s Most Endangered Resource. Hayes joined me to explain how our attention became so scarce, and what happens to us when we lose the ability to focus on the things that matter most. Mentioned: "Twitter and Tear Gas: The Power and Fragility of Networked Protest," by Zeynep Tufekci Further Reading: "Ethics of the Attention Economy: The Problem of Social Media Addiction," by Vikram R. Bhargava and Manuel Velasquez. "The Attention Economy Labour, Time and Power in Cognitive Capitalism," by Claudio Celis Bueno “The business of news in the attention economy: Audience labor and MediaNews Group’s efforts to capitalize on news consumption,” Brice Nixon Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    30 分鐘
  8. New Spyware Has Made Your Phone Less Secure Than You Might Think

    2月11日

    New Spyware Has Made Your Phone Less Secure Than You Might Think

    It’s become pretty easy to spot phishing scams: UPS orders you never made, banking alerts from companies you don’t bank with, phone calls from unfamiliar area codes. But over the past decade, these scams – and the technology behind them – have become more sophisticated, invasive and sinister, largely due to the rise of something called ‘mercenary spyware.’ The most potent version of this tech is Pegasus, a surveillance tool developed by an Israeli company called NSO Group. Once Pegasus infects your phone, it can see your texts, track your movement, and download your passwords – all without you realizing you’d been hacked. We know a lot of this because of Ron Deibert. Twenty years ago, he founded Citizen Lab, a research group at the University of Toronto that has helped expose some of the most high profile cases of cyber espionage around the world. Ron has a new book out called Chasing Shadows: Cyber Espionage, Subversion, and the Global Fight for Democracy, and he sat down with me to explain how spyware works, and what it means for our privacy – and our democracy. Note: We reached out to NSO Group about the claims made in this episode and they did not reply to our request for comment. Mentioned: “Chasing Shadows: Cyber Espionage, Subversion, and the Global Fight for Democracy,” by Ron Deibert “Meta’s WhatsApp says spyware company Paragon targeted users in two dozen countries,” by Raphael Satter, Reuters Further Reading: “The Autocrat in Your iPhone,” by Ron Deibert “A Comprehensive Analysis of Pegasus Spyware and Its Implications for Digital Privacy and Security,” Karwan Kareem “Stopping the Press: New York Times Journalist Targeted by Saudi-linked Pegasus Spyware Operator,” by Bill Marczak, Siena Anstis, Masashi Crete-Nishihata, John Scott-Railton, and Ron Deibert Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    36 分鐘
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簡介

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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  • 頻道
    The Globe and Mail
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    The Globe and Mail
  • 活躍年代
    2019年 - 2025年
  • 集數
    31
  • 年齡分級
    兒少適宜
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    © Copyright 2024 The Globe and Mail Inc. All rights reserved.
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    Machines Like Us

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