AI in October 2026: someone has to own the outcome
What October's AI developments reveal about agent permissions, scientific verification and the responsibility that remains with the organisations deploying them.
In this note
- 01AI work still needs someone to accept it
- 02Permission needs to survive a failed attempt
- 03Google's lab exposed the wrong kind of progress
- 04What “verified” actually covers
- 05Model provenance now affects procurement
- 06Your supplier's economics become part of your promise
- 07One dated watch: Argon's December prices