Machines Like Us

• 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 He thinks that over the last thirty years we’ve clung to an outdated economic model and have allowed our politics to be captured by corporate interests.So, with less than a week to go before the federal election, I thought it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 OntarioFurther Reading:“We are all economic nationalists now,” by Jim Balsillie (National Post)

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• Bonus ‘The Paul Wells Show’: Election Week 4 - It's a Jungle Online

  We have a really exciting episode coming out on Tuesday: an interview with former RIM co-CEO Jim Balsillie about the fight for Canada’s economic sovereignty. In the meantime, we wanted to share a conversation between Taylor and political journalist Paul Wells. Every week, Paul sits down with the people trying to solve the biggest problems in Canada and around the world. And this week, that person is Taylor. He joins Paul to discuss his work on election interference and share his wish list for the next government’s digital policy.

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• 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 ProjectFurther 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

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• 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 LiedkeFurther 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.

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• 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 HaoFurther 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

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