this post was submitted on 03 Jun 2024
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[–] [email protected] -1 points 3 months ago* (last edited 3 months ago) (8 children)

LLMs have a high coolness-to-code ratio; very cool and not a lot of code. This is the type of thing open source developers are more interested in, so I hope Linux will have some good AI built-in and running locally.

Half of Linux usage is on the text-based command line anyway, just what LLMs are good at.

[–] [email protected] 5 points 3 months ago (5 children)

Half of Linux usage is on the text-based command line anyway, just what LLMs are good at.

You are going to allow an LLM to run commands on your system?

[–] [email protected] 3 points 3 months ago (1 children)

You could have a command that recommends commands and then you select them on a drop-down list.

Alternatively if the dataset is verified you wouldn't need to worry about it running dangerous commands, since it doesn't know any. Or you could have a list of verified commands that run automatically and any command not on that list requires confirmation.

But this is missing the point that most of the time I know exactly what command I want to run so adding a LLM Is quite useless. The reason so much of linux is still relying on commands is because for a lot of people (myself included) commands are quick and efficient.

[–] [email protected] 1 points 3 months ago

You could have a command that recommends commands and then you select them on a drop-down list.

Still dangerous. One character (even a space) might make a huge difference. You wouldn't want a hallucinating probability matrix barf out a command and run it only half understanding what it does. By building it yourself, you get a better understanding.

But this is missing the point that most of the time I know exactly what command I want to run so adding a LLM Is quite useless. The reason so much of linux is still relying on commands is because for a lot of people (myself included) commands are quick and efficient.

100% agreed here.

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