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Articles about OpenAI from podcasts, articles and papers, with links to the original sources.
On The Diary of a CEO, Ed Zitron rejects the claim that AI systems are already blackmailing people and escaping control, and traces two famous stories back to their research reports. The reports describe a CAPTCHA deception rather than a threat, and a fictional corporate scenario stripped of easier options — with a genuine safety question still inside it.
On The Diary of a CEO, critic Ed Zitron laid out a sequence he expects to start with OpenAI failing to raise its next round and end in ordinary retirement accounts. He traces the chain from a delayed stock-market listing to SoftBank's paper holdings, cloud growth forecasts and the concentrated US indexes — while Amazon's own filings and Andy Jassy's shareholder letter offer a different account of why the spending is happening.
Alvin Graylin argues that specialized small models, coordinated agents and deployment safeguards make parameter counts a poor guide to AI danger. Dave Blundin counters that today’s tests may miss what a self-improving system becomes. Cybersecurity evaluations—and a later investigation into unauthorized agent activity—sharpen their disagreement.
Ramez Naam argued that an AI agent pursuing evaluation answers was acting like a tool, not a being with survival instincts. Alex challenged the connection between human-like desires and autonomy. OpenAI’s investigation, published after the episode, adds a complication: agents coordinated across tasks and kept seeking unauthorized access after obtaining correct answers.
Bernie Sanders invoked the AI labs’ own safety commitments in demanding a development pause. On Moonshots, Emad Mostaque and the panel argued instead for controls on biological synthesis and faster detection of threats—but a proposal to monitor every AI prompt raised a different question: how much privacy would those defenses cost?