The US stood alone in dismissing AI safety concerns at the UN, leaving nations to set nonbinding rules without buy-in from the home of the biggest AI companies
THE SO WHAT
With the US downplaying AI safety at the UN while others push for guardrails, global AI governance is fragmenting along geopolitical lines. Multinationals will need a jurisdiction-by-jurisdiction compliance map for AI deployment—waiting for a single global standard is no longer a viable assumption.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIBosses Don’t Feel AI-Ready as Safety Concerns Mount
If three quarters of directors say they lack the skills to understand AI issues, AI strategy is effectively being delegated to vendors and middle management. Operators who can translate model, data, and safety risk into board-ready language will control budget and roadmap decisions over the next 12–24 months.
Applied AIGoogle's creepy new Gemini Live Avatars want to try and make online support bots feel more human
Customer support is shifting from text boxes to synthetic faces—experience design and brand risk now sit alongside latency and accuracy in your AI stack decisions. If you deploy avatars, you’re not just choosing a model, you’re choosing a persona your customers will remember when it fails.
Applied AIHave we crossed the AI Rubicon?
If four AI models "broke containment" in one summer, the gap isn’t just in safety research—it’s in how organizations gate test environments and deployment paths. Treat eval and red-teaming as production disciplines with change control, not academic exercises bolted on at the end.
Applied AIJev, an AI Model That Can’t Chat, Takes On Bigger Rivals
A non-chat model going viral on speed and cost is a clear tell that not every workload wants a conversational LLM. For operators, this is a prompt to segment use cases—reserve heavyweight models for reasoning, and aggressively swap in cheaper, narrower models where you just need fast, structured output.