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Peter Cochrane: Pursuing Truth

Technologist and former British Telecom chief scientist Peter Cochrane joins the Plutopia to talk about his lifelong pursuit of truth and his work on a “truth engine” that used AI to grade the reliability of news sources and authors. Cochrane argues that real truth is hard, costly, and collaborative — unlike social media, which feeds users comforting falsehoods that match their worldview — and warns that losing a shared grip on truth threatens civilization. Drawing on his career in communications, AI, and cybersecurity, Peter explains how he boosted lie detection rates by tracking sources over time, factoring in bias, and adding linguistic and psychological analysis, pushing accuracy toward 95%. The conversation widens into science as an ongoing search rather than final certainty, the distortions of corporate media, the risks and inevitability of AI-driven systems like driverless cars, and his own experiment living with AI-assisted hearing. Throughout, Cochrane stays optimistic but insistent on building human and machine ethics, noting that technology should be judged by whether it improves on fallible humans and helps us keep truth at the center of society.