I'm probably wrong about 3 things in this post. So are you.
Summary
A reflective post on how quickly opinions in AI change, cautioning against rigid beliefs and emphasizing adaptability over perfect prediction.
Similar Articles
The most important AI failure may be false confidence, not wrong answers
This article argues that the most dangerous AI failures stem not from wrong answers but from systems acting with false confidence based on incomplete data, outdated context, or bad assumptions, suggesting that AI evaluation should prioritize handling uncertainty over raw intelligence.
@sebkrier: Some ways my thinking has evolved recently: 1. I'm less concerned about those who are incurious about AI as I expect th…
Séb Krier shares evolving thoughts on AI adoption and job automation, noting less worry about incurious people and more concern about overestimating the speed of job displacement.
When AI Feels “Too Certain”
This article explores the psychological phenomenon where users distrust AI not because it's wrong, but because its tone of certainty mismatches their own internal uncertainty, applying Expectancy Violation Theory to explain the friction.
Trying to fully wrap my head around how fast ai is moving
A personal reflection questioning the real-world speed of AI impact, arguing that bureaucratic, democratic and physical inertia will delay visible changes despite rapid virtual progress.
@hunvreus: Talking to smarter folks than me, I'm convinced many of the AI folks in my timeline are full of shit. Nobody is "runnin…
A tweet expressing skepticism about claims that AI agents can autonomously build production-quality software, arguing that such assertions are overblown and unrealistic.