Subscribe:
RSS feed
Truth Is Believing. Accuracy Is Knowing.
Browsing All posts tagged under »Human-in-the-loop«
What Are the Differences Between RAM 1998 Self-Learning Algorithms and Guardrails for Agentic AI?
August 9, 2026
What to do Monday morning: find the place in your architecture where the world is allowed to disagree with the model.
Building AI for the Way the World Really Works — Taking Aaron Levie’s Observation One Step Further
July 21, 2026
Aaron Levie said Build for how the world should work. Almost three decades of implementations continue to point to the missing step — build for how it really works, before a court calls it a design output.
For the First Time, the Practitioner Leads the Technology (Not the Other Way Around)
January 23, 2026
The new role of procurement professionals isn't approving transactions — it's governing the agent ecosystem.
Three Thoughts About AI That Will Change Your Thinking for the Better
January 11, 2026
When it comes to AI, the industry is still playing chess when it should be building teams.
Gartner’s AI Heat Map: A Restaurant Menu for the 80%
December 8, 2025
It’s not the menu that matters. It’s whether your organization can survive the meal.
Why Spreadsheets Keep Beating AI: The Case for Humans at the Wheel
December 8, 2025
Spreadsheets have been declared dead for decades. So why do they still outperform the systems designed to replace them?
What Does a 1963 Mary Kay Cosmetics Interview Have In Common With A 2025 Particle Accelerator Model?
December 7, 2025
What World Models' LeCun and Bezos learn from Mary Kay about AI?
Which Matrix Produces the Right Answer?
October 1, 2026
0
The earlier an AI model or group of models reaches agreement, the less reliable the answer and outcome. AI success is driven by friction, not consensus.