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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.
Microsoft CEO Satya Nadella says alignment has not emerged from scaling, forcing a choice between trusting models and containing them, and reshaping who captures the value intelligence creates.
Vista executive David argues AI turns software from a workflow tool into a digital worker, and that incumbents holding trusted data will beat frontier labs, though efficiency gains remain unproven.
Vals AI founder Ryan Christian argues frontier labs cannot grade themselves, even as his RSI index suggests the models being measured may soon outrun the humans measuring them.
June, founder of Simile, argues that simulating individuals can replace costly research, but the claim rests on separating what people say from what optionality leads them to do.
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.