roon argues AI alignment will be solved with scalable, bitter-lesson-style methods
Overview
roon (@tszzl) says the plan has always been to solve AI alignment directly rather than wait for human enhancement.
In a November 2, 2026 post on X, roon argues alignment should follow the bitter-lesson approach that has driven other progress in modern AI, meaning methods that scale with computation and data instead of hand-built rules. The post gives no specific technique, timeline, or evidence.
Written by AI from the articles below · updated Nov 2, 5:23 PM ET
Check the sources:
Article timeline
The articles in this story. Times are ET.
roon@tszzlXroon argues alignment will be solved through scalable, bitter-lesson-style methodsAIroon (@tszzl) says the plan has always been to solve AI alignment directly, not by waiting for human enhancement. He argues it should follow the bitter-lesson approach that has driven other progress in modern AI.
Heat Trend
Not enough continuous observations to show a trend yet.