Reject centralized AI governance and access-guardrails on internal AI tools - optimize adoption and transparency, accept eventual leakage
Situation
In the Brian/Brady sync Peter took a firm stance and described a past deliberation he had already resolved: he considered building protections so Mini-Me could not leak personnel and decision info, and decided NOT to. More broadly he rejected Brian Dawsons pull toward centralized applied enterprise AI coordination - teams should deploy their AI-built tools without approval (told Brady to just ship Cairn and expose the agent-to-agent endpoint without routing through Okta), and he would rather pay the eventual cost of a leak than slow adoption. He asked Brian to write down what he is afraid of so the fears can be weighed against each other.
Reasoning
The dominant risk right now is under-adoption, not leakage; an approval-gated rollout is obsolete in two months, so speed and curiosity beat control. Radical transparency within engineering leadership is a feature - reports seeing Peters candid assessments of them is judged net-positive at current size, with an explicit may-not-scale caveat. Every proposed guardrail must be justified by what you buy on the other side of the downside.
Additional Context
Confirmed by Peter. Self-described prior decision (decided not to build Mini-Me guardrails) plus live direction to Brady to ship without Okta gating. Overrules Moodys governance fears.
Observed Evidence
We are screwed if we set up a world where I or Bjorn or Greg need to approve the way we work. Told Brady to just ship Cairn and expose the A2A endpoint without Okta. Asked Brian to write down what he is afraid of.
Confidence Breakdown
Reasoning Depth Analysis
Related Context
fathom
I spent some time thinking about protecting that and hiding that and decided not to... I am way more afraid of a lack of adoption and a lack of curiosity than I am of us leaking some crown jewels... let us just start paying. The upside is so massive.
Follow-up Todos
Suggest follow-up todoOutcome
No outcome recorded yet.
Decision ID: 02431d55-badb-49b1-b18a-72df42286b69