Author’s central point is that an LLM answer “is optimized for arrival, not for becoming” (to paraphrase from the Google “Lucky” part).

So a reasoning LLM that does the comparisons and checks “like a human” still fails the author’s test.

That said, this still feels like a skill issue. If you want to learn, see opposing views gather evidence to form your own opinions about, LLMs can still help massively. You just have to treat them research assistants instead of answer providers.

That episode, and this Gavin quote, encapsulate the attitude perfectly.

“I don't want to live in a world where someone makes the world a better place, better than we do.”

I upvoted because I’m very keen for more teams to start trying to solve this problem and release tools and products to help.

Context gathering and refinement is the biggest issue I have with product development at the moment.

If you remove a reaction to politics and/or management practice, this is quite an obvious question, no?

Hypothetically: Substitute Microsoft for a company with “zero downtime” as one of their company values.

Now imagine you were asked “What impact did your actions have in contributing to zero downtime at Hostingsoft?”

That wouldn’t be a controversial question.

Random data point: I'm in the UK and have visited Serbia twice for Skiing and time in Belgrade. It was a cool place.