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LinkedIn · 2026 · 4 min

AI learning loops

On human judgment as the signal that keeps AI compounding real expertise — across event management, medicine, public safety and software.

Abstract illustration: a hand-drawn line and a machine-straight line converging into one stroke
What if the real power of AI is not replacing people but creating a virtuous loop with them?

Franklin's most recent original essay draws on his electrical-engineering roots — closed-loop feedback, thermostats, servo motors — to make a point about AI: systems drift without a feedback signal, and in knowledge work, that signal is human judgment.

The argument

When practitioners correct, refine and direct AI output, the system compounds real expertise instead of hallucinating in confident circles. He traces the pattern across the domains he knows first-hand: event management, public safety, software engineering — and extends it to medicine.

The essay closes on an open question to the reader: what loops are you starting to build in your world?

Why it's here

This page is a designed summary — the full essay lives on LinkedIn. Once the blog goes live on Payload CMS, original long-form pieces will publish here first and syndicate outward.

Read the original on LinkedIn