The world's top deepfake expert stopped trusting his own eyes. So our fix when nothing's verifiable: ask the AI that made the fake if it's real. Hany Farid, the Berkeley forensics expert news desks call to authenticate footage, told the New York Times he can no longer tell real video from AI. Hunter Powers and Daniel Bishop walk through the missile-on-a-school video no analyst could debunk, then argue the only move left is to trust the machine, because it lies less than we do.

Anthropic's NSA 'Hack' Was a Red-Team Test and NVIDIA's Robots Install Their Own GPUs

They Might Be Self-Aware is a twice-weekly AI podcast about the week's news, tech, and culture, and the question in its name: are the machines becoming self-aware?

Every episode starts with a real story. A new Claude or ChatGPT release, an AI lawsuit, the Pope's verdict on machine souls, Martin Scorsese making films with AI. Then it chases that story somewhere stranger, funnier, and more human than the headline. This is AI as a culture story, not a tech beat: the relief of finally hearing people who are as deep in it as you are.

Hunter Powers and Daniel Bishop host. Two guys who actually build with this stuff, arguing about it fast, funny, and unfiltered, not reading you benchmarks or "10 prompts to save you time." Gary produces, phoning in the cold open from a payphone. He has no last name, and a backstory no one on staff has managed to verify. One of the hosts might not be human. We won't say which.

New episodes Mondays and Thursdays, from The Blur. theblur.ai