Anthropic’s estimate that there is better than a 60% chance AI systems will autonomously train their successors by 2028 matters because it shifts recursive self-improvement from a speculative idea into a near-term planning problem for labs, companies, and governments. The important correction is that this is not yet a picture of runaway autonomy; today’s systems…
OpenAI’s acquisition of TBPN is not just a media add-on. It is a communications and governance move aimed at shaping how AI is discussed in public, especially as regulation, deployment, and trust become harder problems than product demos alone can solve. Why OpenAI bought a talk show instead of another tool TBPN is a founder-led…
OpenAI’s Sora 2 matters less as proof that AI video has become impossible to police than as evidence that the current deployment model is built around traceability, consent controls, and visible limits. The model can produce more realistic video, but its built-in provenance markers, watermarking, and still-detectable flaws mean the practical story is about managed…
AI automation is often discussed as a productivity story, but the more immediate shift may be psychological. The same systems that speed up work and personalize services are also narrowing how people think, straining attention, changing social behavior, and creating new mental-health risks that current safeguards do not handle well. Personalization can shrink cognitive range…