Forget chatbot training. AI's next big data grab is about learning how humans work.
THE SO WHAT
The next defensible data moat isn’t text corpora—it’s logs of how real employees click, decide, and resolve edge cases across tools. If you’re not already instrumenting workflows and capturing high-quality interaction traces, you’re handing future agent performance advantages to whoever is.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIAnthropic’s Watermarking, How It (Probably) Works, Worse Than It Seems
If watermarking is being bolted on primarily to satisfy EU AI law, expect real friction between compliance checkboxes and technical robustness. Operators relying on provenance for safety, IP, or trust should treat current watermarking as one weak signal among many — not a single source of truth.
Applied AIRyanair signs a five-year AI deal with Google Cloud, and a second cloud to fall back on
Ryanair making Gemini Enterprise the operational center of a 35,000-person airline — while explicitly keeping a second cloud in play — is the reference pattern: deep AI integration plus negotiated optionality. If you’re signing multi-year AI platform deals, bake in multi-cloud leverage and exit ramps before agentic workflows become core to how you run the business.
Applied AISpaceXAI launches Grok Bot, an always-on AI agent
An always-on swarm of Grok agents pushes the assistant model toward persistent, ambient automation rather than chat-on-demand. Teams building products should assume users will have background agents monitoring, summarizing, and acting — design your APIs, permissions, and UX for machine clients, not just humans.
Applied AIThis $200 AI app turns your spoken words into polished writing
A $200 lifetime “talk-to-polished-text” tool is another sign that narrow, UX-optimized wrappers around foundation models can still command real price points. If you’re building horizontal AI features, expect to be undercut by focused vertical tools that own a single workflow end to end.