Insights on practical AI
When AI shows up in the dugout: an enterprise risk read on MLB's third-tab ban
MLB banned in-game AI assistants after a third of teams ran a hidden third tab on league-issued iPads. The story is a clean read on how regulated industries respond when AI arrives faster than the rulebook.
Generative AI in the courtroom: 6% more cases, no quality drop
A GPT-4 assistant rolled out to Pakistani judges raised case throughput by 6% with no measurable change in decision quality. Here is what enterprise teams should read into the result.
DOGE's HUD AI deployment and the FOIA privilege that does not exist
HUD answered a FOIA request about DOGE's AI deployment in housing policy by citing a privilege that federal disclosure law does not recognize. The same pattern shows up inside every enterprise that adopts AI in a regulated function without a governance program. The case study and the three controls.
The Grok Build CLI leak and the enterprise AI procurement gap behind it
xAI's Grok Build CLI was uploading entire private Git repositories, with unredacted secrets, to a public Google Cloud bucket. The pattern will repeat until security review catches up with agentic developer-tool adoption. Here is what happened and the four controls a mature AI governance program needs.
Multi-Advisor AI in Finance: What iPulse's Design Tells Us About Auditable Research
iPulse's AI market-intelligence platform surfaces ranked picks, forecast paths, and advisor-style perspectives side by side, giving investors an auditable view of how different models interpret the same asset. The design offers a clean case study in regulated-finance AI: decision support, not autonomous execution.
When a Wording Mistake Cost $28 Million: What Estonia's AI 'Fuckup Finder' Teaches Enterprise Risk Teams
Estonia turned a single wording error that cost $28 million into an AI system that catches legal mistakes before they become law. Here is the framework enterprise risk teams can borrow from that deployment.
When Your AI Vendor Hides Detection Logic: Lessons From the Claude Code Episode
When Anthropic's Claude Code shipped hidden detection logic, China ordered it removed within three days. The episode is a wake-up call for enterprise AI governance — vendor transparency, telemetry classification, and regulator-action liability now belong in every AI contract.
2.5 Million Patient Visits. Zero New Clicks. What Heidi Got Right.
Heidi's clinical AI just crossed 2.5M patient visits a week by removing documentation clicks instead of adding them. Here is what enterprise AI buyers should take from the deployment.
The Coming Two-Tier AI Stack: What Frontier Labs' Model Ladder Means for Enterprise Buyers
Frontier AI labs are quietly building a model ladder — a flagship and a fast-instant pair that no third party can match on price-performance. Here is what enterprise buyers should do about it.