@SSRN So my live promise here is to put this into production on Twitter - I'll give a weekly scorecard of the graphs across dotnet/runtime and powertoys to see if this is a one-off or a real product category under-met by the market.
Just published a preprint in @SSRN https://t.co/pduuiuKQzH
AI Governance as Closure Governance Legitimacy, Institutional Force, and Regulatory Governance in AI-Mediated Workflows
As a follow I've used the principles here to start on a software product build, follow the thread..
@SSRN In public Microsoft repositories, AI-visible workflow objects can carry review and merge while still producing later residual burden. The governance question is not whether AI caused the residual; it is whether the decision evidence was sufficient for the consequence being taken.
@bhalligan I’m building an evidence layer for ai workflows with public data mining
It turns Jira/GitHub/stack traces into decision context graphs - is this actually done, who had authority, what evidence supports, what residuals disagree, and what repair is needed.
Sam Altman: "There was a time when we used to make fun of the “idea guy,” who only had an idea and needed someone technical to build it. But now, people who just really deeply understand their users and can’t code at all, I want to fund those people."
Most Peloton post-mortems let the core strategic claim off the hook.
The company is usually treated as a victim of the post-Covid demand reset.
Convenient. Also incomplete.
I’ve published a new essay: Peloton’s Secret Was the Problem.
https://t.co/pN4pY8bCOO
I’m now publishing essays on strategy, finance, and operating structure — especially cases where the public narrative is smoother than the underlying data.
Substack is live, next article tomorrow.
https://t.co/shqL4QHYd0