linkedin.com · via Mille Bojer
Eight practitioner principles from a 3-day transformative scenarios workshop with 36 participants. AI handled synthesis and pattern-finding in the background; humans kept full ownership, presence, and creative source-hood. The key move: AI outputs are inputs to human judgment, never final products — and because the work isn't attributed to a person, participants hold it more lightly and push back more freely.
cutlefish.substack.com · via John Cutler
Cutler on the question every team is now living: how to adopt AI for the company's benefit without quietly trading away the agency that made the team work. The operating-model companion to the agency argument this site keeps circling.
linkedin.com · via Jazz Rasool
Where AI-assisted coaching meets regulation — the governance layer forming around human-development work done with machines.
every.to · via Every
A coaching-shaped use of the model: reflection partner, not answer machine. The centaur move applied to inner work.
wired.com · via Wired
The judgment, relationship and timing work doesn't automate away — it becomes the job. Pairs with the glue-work argument.
science.org · via Costello et al, Science
The optimistic counter-case: a well-aimed AI dialogue measurably shifted entrenched beliefs and it held. Agency designed in, not eroded — AI as interlocutor rather than oracle.
linkedin.com · via John Cutler
Sycophancy as the everyday face of cognitive surrender — when the model mirrors you, the verification step quietly disappears. A practical tell for when you've stopped thinking.
microsoft.com · via Microsoft Research
319 knowledge workers — the more they trusted the AI, the less critical thinking they did. The empirical anchor for why agency has to be designed in, not assumed.