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Anthropic's Dario and Daniela Amodei argue that scaling points toward AI surpassing humans, and that trust, principled training and business incentives, not rules alone, determine whether it stays safe.
Matt of Bain Capital Ventures argues that rational price insensitivity toward power-law winners inflates bubbles, even as he judges AI's frontier capability gains, not valuations, as the deciding variable.
Christiane Amanpour interviews Kevin Roose, author of The AGI Chronicles, on why AI labs that fear superintelligence keep racing to build it, and whether unelected insiders should decide.
Computer scientist Scott Aaronson argues AI's solution of hundreds of open problems cannot be undone, pitting mathematics' ideal of open participation against grief over lost careers and unreviewed proofs.
Menlo Ventures' Matt Murphy explains why a pre-revenue $4 billion bet on Anthropic defied venture fund math, and whether that rule-bending logic still holds as AI growth accelerates.
Journalist Kevin Roose, author of The AGI Chronicles, and Decoder host Eli Patel debate whether scaled language models can reach AGI, and whether the idealists building them can survive the pressure.
Bill Gates argues the nearest AI danger is human misuse, not rogue systems, and that self-regulation, liability and job-market optimism all fall short of the moment.