Our only reference point with an alien philosophy would be that we can only approach it from human basis
1,875 karma · joined August 12, 2021
Our only reference point with an alien philosophy would be that we can only approach it from human basis
"A philosophy of LLMs" - has no reference point without being grounded in human experience.
It is only meaningful when we apply what it means to humans.
"a philosophy of a bash script." does not make sense. Only "philosophy of the action of writing the bash script, of which this is an artifact of" - the human who wrote it intentionally.
LLMs apply statistics to mash inputs and produce outputs, almost like `cat` with extra steps: We can't ask for "what was the philosophy behind the action `cat` applied" - why would we bother asking about the philosophy of an LLM? Better questions would be the philosophy of those who prompt it, built it, the material that went into it, the people who write the safeguards, the people who architected it. Etc.
It is not an isolated environment without reference points.
I'm not trying to be rude but I gave you the answers. Alien philosophy is irrelevant to us because we're not aliens. Tree philosophy is irrelevant to us because we're not trees. Dolphin philosophy is irrelevant to us because we're not dolphins, etc.
Everything else you mentioned is "hallucinatory" and you need to probably have a break from screens for a while.
As a legitimate exercise, go ponder the philosophy of a bash script. Think about philosophy of trees in a forest vs trees in a plantation. You'll find it and see how silly you're being
Philosophy is a intrinsically human thing. It has to be. That is the whole point. There really is nothing else.
Plants feel and experience things too. But there's no philosophy of the plant experience from the point of view of the plant, because why would there be?
The fact that we have a pattern recognizing word generator print out the words "I am alive" does not lead to some broader philosophical point, except for hysteria and delusions, which probably fit more along sociology instead.
Some things are allowed to be obvious. It's a series of bits and bytes.
As someone who had family members go through gambling addiction this is the primary mechanism behind it.
Addicts don't see it as "cool fun dopamine kicks" but instead find it the only way they can get back to normal/where they are supposed to be
I don't think anyone is adding anything to it.
Also stretching and mobility training.. using a split keyboard has been awesome because you really feel the difference compared to a "normal" keyboard once you've been paying attention to opening up the shoulders
* Your AI girlfriend isn't real
* "You're correct" is a statistical occurrence, not evidence that you are or are not correct.
* Llm can do "bad things" because it just does things. Statistics has no right or wrong.
I'm not a common lisp user, but I want to be. I want to learn common lisp, and I have a fair understanding of types. I think types can benefit the user in understanding more, as well as the inbuilt "intelligence" - (aka: How am I meant to know ahead of time that I can't add these two objects together? Having the editor tell me as I'm writing is a great step)
I have "mine" their text editor, now I just need some tutorials and sample projects to go with it.
Whenever I see this arguement, I'm reminded that most programmers don't know what they do for work
I haven't needed to change jobs but I'm worried that one day I'll have to
And yet this is "AI is world changing, look at how fast it can change code!"
> So while you still try to navigate through files, others already have features out.
Your argument is "it can also read code faster too" - but it doesn't have the same tacit knowledge within the codebase. Documentation and comments can be wrong sometimes. Names are poorly chosen
That's the thing about reviews: the implementor doesn't know what's needed for the feature, but the reviewer now needs to. The latter can't trust the former anymore.
/Explain is constantly wrong. /Plan is constantly over engineered. /Tests are constantly fragile
The only benefit AI has produced to existing codebase is now people care a lot more about getting documentation right and adding little snippet/how-tos called "skills" or whatever.
But LLMs are trying to mimic people. So if confusion is the human response, what's to stop the llm from acting confused?