But life, if we're lucky, is very long. We have plenty of time to try different things, to live different lives, to be confused, and figure things out, and then be confused again.
you just you can't base your business decisions based on what everyone else is saying around you. Like, if you go too much with the herd, you will get immensely confused and you will end up nowhere. And so you have to develop your own compass of what you think the future is going to look like because everyone else will just confuse you.
LLMs themselves are the perfect captive reader: they never get bored or confused, never miss a reference or have an emotional reaction, never ask themselves why am I reading this?, never close the tab.
Which brings me to the film adaptation of Inherent Vice, that widely-disliked, subtly-championed shaggy stoner LA noir that confused critics and rankled fans and also happens to be the best movie Paul Thomas Anderson has ever made.
Milton Friedman, he also does tend to have friends who agree with him, yet he's always willing to debate his opponents, and he's willing to do so with a smile on his face. He's a happy warrior, and he actually will win a lot of debates simply by his emotional affect and his cheerfulness and his confidence, where Rand will lose debates because she gets so angry in the face of disagreement.
The bar I typically suggest is that the people manager doesn't need to have the most technical depth on the team, but they need enough depth that they can follow most discussions without slowing them down, understand who's correct in most debates without needing to rely on trust, and generally stay oriented easily.
So most people, when they advertise new context window increase, they talk a lot about finding the needle in the haystack sort of evaluation metrics and less about whether there’s any degradation in the instruction following performance. So I think that’s where you need to make sure that throwing more information at a model doesn’t actually make it more confused.
Even in that case, though, what we should trust is not the particular output of the scientific process at any given time. It can make wrong turns. Instead, we should trust that it will find the truth eventually, and that it is our best and only method for doing so.
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