The Problem With AI That's Too Human

So, if the models are capable of all of this, what actually stops people from getting the most out of them?

1. Ambition: Not enough people ask the model to help them with real work. They ask it to help them with drafting email or coming up with funny songs.


2. Patience: How much context are you willing to provide it to help you? How does it compare to the

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Using LLM products today feels a lot like using early cars in the 1800s: clearly magical, clearly going to change the world, and really hard to drive.

The first cars didn’t have steering wheels (they hadn’t been invented yet), so you’d steer them with a big lever called a tiller. The problem with tillers is that they are imprecise, which made drivin... See more

people want to anthropomorphize everything and they want to put everything in human terms. The whole point of a computer is it just operates utterly and completely different than humans do. At the end of the day, it’s still calculating ones and zeros. So everything has to be distilled to that and it just does it at tremendously fast speed, un

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As we build systems whose capabilities more and more resemble those of humans, despite the fact that those systems work in ways that are fundamentally different from the way humans work, it becomes increasingly tempting to anthropomorphise them. Humans have evolved to co-exist over many millions of years, and human culture has evolved over thousand

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So, if the models are capable of all of this, what actually stops people from getting the most out of them?

1. Ambition: Not enough people ask the model to help them with real work. They ask it to help them with drafting email or coming up with funny songs.


2. Patience: How much context are you willing to provide it to help you? How does it compare to the

... See more