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Briefings and ideas about OpenAI from AI podcast discussions and the research they cite, with links to the original sources.
Defensive co-scaling proposes that AI defenses, including AIs policing AIs, grow with AI capability rather than slowing models.
Updated Sep 19, 2026 IdeaThe Coasean singularity asks what happens to firms if AI agents make deals nearly free.
Updated Sep 9, 2026 IdeaAI should be sold by results delivered, not tokens, Moonshots panelists argued, citing Salesforce and OpenAI moves as they described them.
Updated Sep 2, 2026Journalist Karen Hao argues that AI companies behave like empires. In her view, their warnings of catastrophe and promises of abundance work together to justify keeping AI under their control. She made the case in a replayed Diary of a CEO clip.
Journalist Karen Hao says OpenAI shut her out for years after her 2020 profile, then pulled out of her book. She now calls that lucky; host Steven Bartlett says an AI figure's team has dangled an interview for 18 months.
Journalist Karen Hao argues that AI companies shape public knowledge by funding most AI researchers. She points to Google's firing of its ethical AI leads and OpenAI's subpoena of a watchdog. Google and OpenAI's lawyer gave other reasons.
Investor Chamath Palihapitiya argued that AGI exists but can't spread until power and data centers are built, and predicted a compute shortage within three or four years. Alex Wissner-Gross countered that demand and smaller models matter too.
Prosecutors allege an OpenAI engineer bugged an executive conference room. On Moonshots, Chamath Palihapitiya said labs should assume constant leaks, and Alexander Wissner-Gross predicted a Cold War over superintelligence.
A preprint reports GPT-6 Astra got 49 of 50 unpublished physics calculations right with web access, for about $2 each. On Moonshots, XPRIZE CEO Anousheh Ansari asked who will find new problems if AI solves the defined ones.
Nathan Labenz says helping people use today's AI could deliver the growth markets want without more scaling. He bases the opinion on one encounter with an elderly neighbor, and a market forecast in the conversation prompted it.
Nathan Labenz had Claude test Gemini 4 against his current models and found it competitive but slightly behind. He says security and predictability now matter more to him than small quality gains for agents with broad access.
Computer scientist Alex Wissner-Gross argued that AI solving math at scale, not quantum computing, is the real threat to encryption, though he named no broken system. Salim Ismail countered that AI can also build stronger cryptography.
OpenAI posted hundreds of AI-produced math manuscripts on October 6 and withdrew three a day later. A mathematicians' group objected; on Moonshots, Alex Wissner-Gross argued math is just the first field AI will bulk-solve.
GovAI's Alan Chan says tracking automated AI research takes three measures: how much is automated, whether progress speeds up, and whether oversight keeps pace. He calls the current evidence uncertain and lab disclosures only a start.
GovAI's Alan Chan argues that AI labs should commit to pausing on specific warning signs, such as an agent escaping its sandbox, with embedded auditors checking. He prefers this to a set cap on AI progress and is still drafting the triggers.