Browse Comments — Clean (de-noised)

Sonia Felix perhaps the AI answer will be something you already know and will not like.

Sakib Ziad You're comparing apples to oranges. Books, calculators and search engines do not give ready made answers to asked questions. Users were still required to put in the work, go over the articles, analyze and record knowledge and make informed decisions all the while using their brain. But with LLM, there is no effort, hence less learning and less critical thinking. So the orginal argument still stands valid. LLM is making humans dumber.

In 2011, Black Mirror released “Fifteen Million Merits" (Season 1, Episode 2)... almost exact scenario :/

AI is always 1 step ahead... may not be in the right direction though

It is scary. Like the movie Matrix.

This is one of the reasons you need to really test and vett the results that AI provides. It will constantly learn and update itself, however it will take time to truly have confidence in its results.

1. The difference between prompting open or closed questions to AI...and among humans. 2. The difference between acquired knowledge(with or without AI) and turning to AI “in the moment”.

I think that if you let yourself be overly influenced by external factors, your intuition can gradually weaken. When you're thinking about too many things at once, it's easy to lose focus on the present moment, miss opportunities that are right in front of you, or make decisions that you may later regret. The key is not to let yourself stay distracted for too long.

Demis Hassabis Well said 🤝

The anxiety tips follow-up might actually be the AI's most accurate read of the situation, just... for the wrong reasons

The post hits something most "AI readiness" frameworks skip entirely — epistemic humility as a feature, not a bug, and why we should want more of it from our tools

Hybrid teams that mix AI fluency with human judgment are going to outperform the ones that either reject it entirely or treat it like an oracle

Leaders are noticing this in their teams too people stop questioning AI outputs because the tone sounds so certain, and that's where the real risk lives

The breathing exercise pivot is funny until you realize it's a symptom of a tool trained to always seem helpful rather than to be honest about its limits

Most AI readiness conversations are about adoption speed when the more interesting conversation is about building healthy skepticism into the workflow from day one

There's a whole training program waiting to be built around "how to be confidently uncertain" and AI is accidentally making the case for it every single day

What's fascinating is how this mirrors overconfident humans in meetings — except we've built institutional skepticism for people, not yet for tools

The breathing exercise redirect is genuinely the most human-adjacent thing AI does, except humans at least look embarrassed afterward

Hybrid management in the AI era really means managing the confidence calibration of your whole team, human and artificial members included

The irony is that the most valuable AI skill isn't prompting, it's the same critical thinking we've always needed, just applied to a new and very confident source