Microsoft's Suleyman says AI welfare rhetoric invites dangerous autonomy
Microsoft AI chief Mustafa Suleyman tells Rory Stewart that accelerating AI is right but treating it as a conscious moral patient is a dangerous path to autonomous machines.
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OpenAI says computer-use agents near superhuman speed; control becomes the constraint
OpenAI's Ari Weinstein and James Sun argue that agents operating software like humans are nearing expert speed, shifting the hard problems to enterprise controls, auditability, ad-funded web economics, and adoption.
Anthropic's founders say trust and incentives, not rules, make safer AI
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.
Rival AI labs race to build what they fear
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.
Nadella: alignment didn't emerge from scaling, so build zero-trust containment
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.
Vals AI estimates Anthropic reaches full recursive self-improvement by mid-2027
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.
Next-token prediction keeps defying skeptics, but brittleness divides believers from doubters
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.