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xpe 5 hours ago

> This is about genuine humanity.

The meaning of the word genuine here is pretty pivotal. At its best, genuine might take an expansive view of humanity: our lived experience, our seeking, our creativity, our struggle, in all its forms. But at its worst, genuine might be narrow, presupposing one true way to be human. Is a person with a prosthetic leg less human? A person with a mental disorder? (These questions are all problematic because they smuggle in an assumption.)

Consider this thought experiment. Consider a person who interacts with an LLM, learns something, finds it meaningful, and wants to share it on a public forum. Is this thought less meaningful because of that generative process? Would you really prefer not to see it? Why?

Because you can point to some "algorithmic generation" in the process? With social media, we read algorithmically shaped human comments, many less considered than the thought experiment. Nor did this start with social media. Even before Facebook, there was an algorithm: our culture and how we spread information. Human brains are meme machines, after all.

Think of human output as a process that evolves. Grunts. Then some basic words. Then language. Then writing. Then typing. Why not: "Then LLMs"? It is easy to come up with reasons, but it is harder to admit just how vexing the problem is. If we're willing, it is way for us to confront "what is humanity?".

You might view an LLM as an evolution of this memetic culture. In the case of GPT-OSS 120b, centuries of writing distilled into ~60 GB. Putting aside all the concerns of intellectual property theft, harmful uses, intellectual laziness, surveillance, autonomous weapons, gradual disempowerment, and loss of control, LLMs are quite an amazing technological accomplishment. Think about how much culture we've compressed into them!

As a general tendency, it takes a lot of conversation and refinement to figure out how to communicate a message really well to an audience. What a human bangs out on the first several iterations might only be a fraction of what is possible. If LLMs help people find clearer thinking, better arguments, and/or more authenticity (whatever that means), maybe we should welcome that?

Also, not all humans have the same language generation capacity; why not think of LLMs as an equalizer? You touch on this (next quote), but I am going to propose thinking of this in a broader way...

> I think the one exception I would make...

When I see a narrow exception for an otherwise broad point, I notice. This often means there is more to unpack. At the least, there is philosophical asymmetry. Do they survive scrutiny? Certainly there are more exceptions just around the corner...