Every edition of the daily briefing — five stories from a short list of sources I actually read, each with my take. 1 edition(s) and counting.
My take: When vendors start selling fear alongside their products, ask who profits from the alarm. Leaders should price AI risk like any other enterprise risk — with evidence, not vibes.
My take: Trust is the product feature here, not the model. If your people won’t trust an AI with their calendar, capability doesn’t matter — adoption is a trust problem first.
My take: Cantrill’s point is a leadership one: experts hold the public’s trust implicitly, so alarmist claims carry a burden of proof. Inside a company it’s the same — leaders who cry wolf on AI risk or AI magic lose the room.
My take: The scarce skill was never typing code — it’s knowing what’s worth building and defining it precisely. If your org still rewards output over judgment, AI made your engineers cheaper without making your products better.
My take: End-to-end means the AI owns the whole workflow, not one step. The trust bar for that is a completely different bar — it’s an operations and governance problem, not a demo.