Show Notes
On Feb. 10, 2026, an 18-year-old opened fire at a high school in Tumbler Ridge, B.C., killing eight people before turning a gun on herself. In the weeks that followed, OpenAI admitted that the perpetrator had been discussing the attack with ChatGPT – and that the company had chosen not to alert authorities. But, in the aftermath of one of the deadliest shootings in our country’s history, many Canadians are asking: Why not?
It’s a reasonable question. But the idea that AI companies should automatically report violent conversations to police is more complicated than it sounds.
To try and unpack it, I spoke with Meredith Whittaker, the President of Signal – an encrypted messaging platform that doesn’t collect your data, serve you ads, or track who you’re talking to. Whittaker runs the most private messaging app on the planet, which also means there is almost certainly illegal activity happening on Signal that no one, including her, knows about.
But this conversation isn’t just about Tumbler Ridge. The instinct to trade privacy for “safety” is reshaping the entire tech landscape: Amazon now lets you scan a whole neighbourhood’s worth of Ring camera footage; Australia requires teenagers to verify their ages before accessing social media. These technologies offer real value – but they all ask you to give something up in return. So I wanted to ask Whittaker why that trade might not be worth making.
Editor's note: A previous version of this article reported an incorrect final tally of the injured during the shooting at Tumbler Ridge. Two were critically injured. The podcast audio also includes an incorrect final tally of the injured.
More from Machines Like Us
This one's from The Decibel, The Globe and Mail's daily news podcast. Taylor was the guest, talking about the push to regulate AI and whether governments can keep up. We're between seasons, so we're running it here too. From The Decibel: After several reports of AI agents going rogue, calls for regulation of this technology have grown louder. And some of the people advocating for more rules are the leaders of the frontier labs themselves, like Anthropic CEO Dario Amodei. But how can governments, which tend to move slowly, regulate a technology that is changing at an increasingly quicker pace?
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.
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.
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.
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