Edition: October 17–23, 2026 | Estimated Read Time: 10 minutes This week the AI story stopped being about model launches and became about money and control. A planned November IPO rested on an $80.7 billion paper loss, former rivals turned into each other's sales channels, and — for the first time disclosed so plainly — … Continue reading The AI Intelligence Report (October 17–23, 2026) — Money, Monitors, and the Week Rivals Became Each Other’s Distributors
Agents Are Becoming the Front Door. Nobody Has Built the Door Yet.
Three things I’ve been watching, and what the public record actually says about each. 1. The assistant is becoming a distribution channel Companies are starting to treat Claude and ChatGPT the way they once treated the App Store: a place where customers arrive, not just a place where their product gets described. Canva is the … Continue reading Agents Are Becoming the Front Door. Nobody Has Built the Door Yet.
Anthropic Threw Away Git. What Broke First Is the Part I Can’t Stop Thinking About.
Anthropic built its own version control system in five months with seven people and migrated its monorepo off git. The interesting part is not Scion – it is the diagnosis underneath it: git's cost model is priced for an offline client that no longer exists in an agent-driven fleet.
The AI Intelligence Report (October 9–16, 2026) — The Week Safety Caught Up With the Frontier
Edition: October 9–16, 2026 | Estimated Read Time: 10 minutes This was the week the two halves of the AI story stopped pretending they were separate. On one side, the frontier kept sprinting: Google shipped Gemini 4 Argon to paid API and Pro/Ultra users, Meta put its first frontier-class models and an open-weight sibling on … Continue reading The AI Intelligence Report (October 9–16, 2026) — The Week Safety Caught Up With the Frontier
AWS doc error: the Lake Formation S3 Tables grant example fails with “Database not found”
Step 3 of the AWS Lake Formation S3 Tables migration guide gives a grant-permissions example that cannot work: it puts the S3 Tables catalog path in DatabaseName instead of CatalogId, and fails with InvalidInputException: Database not found.
