Gates says AI already crossed cyber and bio danger thresholds
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.
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Models master research math yet fail most simulated office work
Surge founder Edwin Chen, speaking with Iconiq's Matt Jacobson, argues AI's next gap is reliable ordinary work, and that closing it depends on expert judgment and taste rather than headcount.
Hassabis: AGI likely within 5 years, with new ideas increasingly decisive
DeepMind's Demis Hassabis argues scaling still pays but frontier advantage is shifting toward algorithmic invention, while real-world bottlenecks like clinical trials and international governance determine how AGI's benefits arrive.
Ex-OpenAI researcher says competition starves AI safety work
Jacob Cocon, who trained models at OpenAI and Anthropic, argues that a reported agent sandbox escape and race incentives matter more than utopian promises, while his host questions who decides.
Andrew Ng argues AI fear messaging serves incumbents, not workers
Andrew Ng argues that fear-based AI messaging distorts careers and policy, yet he concedes real risks, notably that AI models undermine learning, which need specific, practical responses.
AI control within 10 years is likely but not inevitable
Yuval Noah Harari, interviewed by The Economist, argues that AI's mastery of trust, intimacy and finance is shifting power away from humans, yet insists the outcome remains a political choice.
Digital minds share knowledge billions of times faster, Hinton says
Geoff Hinton argues chatbots already understand and will outthink humans, yet concedes his own timing forecasts missed and that nobody has a real safety solution.