Comment by bachittle
2 days ago
If you give an LLM enough context, it writes in your voice. But it requires using an intelligent model, and very thoughtful context development. Most people don't do this because it requires effort, and one could argue maybe even more effort than just writing the damn thing yourself. It's like trying to teach a human, or anyone, how to talk like you: very hard because it requires at worst your entire life story.
Why the f- would I train software to do my thinking and reasoning for me!?
It is not what training is, but with edgy attitude like yours, no one will want to give you their arguments.
* it writes in an imitation of your voice.
Why does this even matter? If it can say something more eloquently, in less stilted way something what I wanted to say, adding some interesting nuance on the way, while still sounding close to me - why not? I meanwhile, can learn one-two rhetorical tricks from LLMs reading the result.
A analogy: For the same reason why natural wood is more beautiful than plastic. Natural wood gets its beauty from little faults and irregularities. The process of growing a tree takes a long time and thereby is more valuable. A plastic facsimile can be made to look similar and be cheaper to produce, but it lacks the unique grain and quality of the wood.
It’s not just the end product that matters. The process and intent behind its genesis matters too.
Something that freaked me out a little bit is that I've now written enough online (i.e.: HN comments) that the top models know my voice already and can imitate it on request without having to be fed any additional context.
There's a data centre somewhere in the US running additions and multiplications through a block of numbers that has captured my voice.