Machines Like Us

In early August, OpenAI hosted dozens of lifestyle creators at an upstate New York resort for a weekend they called Summer Club. There was beekeeping. There were farm-to-table dinners. And in between, there were sessions on how to use ChatGPT. The ensuing backlash was swift, especially against the female influencers.
But the money pouring into AI marketing goes far beyond a luxury brand trip. Tech billionaires and super PACs are spending millions to quietly flood your social media feeds. Some have paid influencers for undisclosed deals pushing AI-positive and anti-China messaging. Others have gone so far as to fund radical anti-AI meme accounts that threaten their own CEOs, all to make their critics look unhinged.
Tech and culture journalist Taylor Lorenz has spent more than a decade reporting on online creators. She’s been following the dark money behind these co-ordinated campaigns to buy up digital influence and shift the public debate around AI.

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For years, the debate about AI was mostly about what it could do, whether it could write, make convincing art, or beat us at our own games.

The questions now are older and harder. What makes us human? How do we find meaning? If a machine can do more of the things we thought made humans special, where does that leave us? These aren’t new questions, but rapid advances in AI have made them feel a lot more urgent. Even Pope Leo XIV chose artificial intelligence as the subject of his first encyclical.

Greg Epstein, the humanist chaplain at Harvard and MIT and author of Tech Agnostic, has been asking these questions long before the machines showed up. He argues that we’re living in a moment with too much certainty, and that the most useful thing we could embrace right now might be doubt.

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When Demis Hassabis co-founded DeepMind in 2010, his mission was simple: solve intelligence, then use it to solve everything else. What began as a scientific quest would eventually become a fierce global AI race. 

Today, DeepMind is owned by Google and is one of the world’s leading AI labs. Journalist and author Sebastian Mallaby spent years interviewing Hassabis, his collaborators, rivals and critics for his new book, The Infinity Machine. It tells the story of the remarkably small group of people who shaped modern AI.

When we recorded this conversation, Hassabis was still CEO of DeepMind, caught between the science he wanted to pursue and the commercial race Google needed him to run. Hours later, he announced he was stepping down as CEO to become Alphabet’s (Google’s parent company) chief scientist.

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You've probably seen one by now: a human-sized robot doing very human feats – landing a perfect backflip, racing through the streets of Beijing, or dancing in a crowd at a Knicks game. But behind these viral moments, there is serious money. Analysts predict the market for humanoid robots could be worth trillions in a matter of decades. 

Everyone from trillionaire Elon Musk to Chinese President Xi Jinping is betting humanoids are the future – that one day, they will live alongside us – in our homes, and even our military. The question is: can we trust them? 

Angelica Lim has spent her entire career trying to build trustworthy robots. A roboticist based at Simon Fraser University, Lim joins Machine’s Like Us to share lessons from building the world’s first mass-produced humanoid named Pepper, and why empathy in robotics is more important than ever.

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When Marc Miller became Minister of Canadian Identity and Culture, he inherited Ottawa’s oldest, unfinished file in tech policy: regulating social media. He took office at a global turning point. Australia had just banned social media for kids under 16, with Denmark, France, Turkey, and the U.K. quickly following suit. 

The proliferation of AI chatbots added urgency to his new file. Ignored in previous policy cycles, AI chatbots are now embedded in the lives of millions of Canadians. And in the wake of the tragedy at Tumbler Ridge, the risks of these unrelated systems are no longer theoretical.

In part two of our series on Canada's landmark new digital legislation, Minister Miller joins us to talk about his bill, The Safe Social Media Act, which restricts platforms for minors unless platforms can prove they’re safe and sets world-first rules for AI chatbots. It’s the federal government’s bid to hold Big Tech accountable. If you missed part one, you can check out our last episode with Minister Evan Solomon on the federal government’s plan to bring Canada’s privacy laws into the AI era.

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