Gary McGrawMar 12

In my view, #AI just moves everyone toward the middle of the Bell curve. At BIML, we call this beigification. If you find yourself born to the right of the curve you will be yanked back to the middle.

https://www.theguardian.com/technology/ng-interactive/2026/mar/10/ai-impact-professors-students-learning

‘I wish I could push ChatGPT off a cliff’: professors scramble to save critical thinking in an age of AI

As AI has upended the way students learn, academics worry about the future of the humanities – and society at large

The Guardian
Show threadDan Kennedy    

@cigitalgem There’s research to suggest that some of AI’s best utility is as a reflection machine, the more sophisticated the prompt, the better the response. If we’re deciding on a moment to ‘freeze human learning in place’, I feel like that comes with some side effects (like every organic expert from before this period eventually getting old and dying if we don’t figure something else out).

Forced beige.

Maybe the students should do the assignments with the steps as intended…

Mar 13 at 1:33pmWeb
Show threadGary McGrawMar 13

@danielkennedy74 I love that "forced beige"...but it's worse than that. Recursive pollution makes the beige even wronger over time ..

https://berryvilleiml.com/2026/01/10/recursive-pollution-and-model-collapse-are-not-the-same/

Recursive Pollution and Model Collapse Are Not the Same | BIML

Forever ago in 2020, we identified "looping" as one of the "raw data in the world" risks. See An Architectural Risk Anal

Berryville Institute of Machine Learning
Show threadGary McGrawMar 13
@danielkennedy74 incidently, I wrote this down yesterday https://berryvilleiml.com/2026/03/12/on-beigification/
On “Beigification” | BIML

Lets face it, beige has a bad name. Maybe it was the omnipresent Docker khakis of middle management 20 years ago, or may

Berryville Institute of Machine Learning