21–30 of 83 posts
FFmpeg is a tool that I now use purely with LLM help (and it is the only such tool for me). I do however want to read the explanation of what the AI-suggested command does and understand it instead of just YOLO running it like in this project. I have had the experience where GPT/LLAMA suggested parameters that would have produced unintended consequences and if I haven't read their explanation I would never know (resu…
FFmpeg is a tool that I now use purely with LLM help (and it is the only such tool for me). I do however want to read the explanation of what the AI-suggested command does and understand it instead of just YOLO running it like in this project. I have had the experience where GPT/LLAMA suggested parameters that would have produced unintended consequences and if I haven't read their explanation I would never know (resu…
I always wonder what's the difference between LLMing shell commands and curl https://example.com | sh
* flagged.
Parsing simple English and converting it to ffmpeg commands can be done without an LLM, running locally, using megabytes of RAM. Check out this AI: $ apt install cdecl [ ... ] After this operation, 62.5 kB of additional disk space will be used. [ ... ] $ cdecl Type `help' or `?' for help cdecl> declare foo as function (pointer to char) returning pointer to array 4 of pointer to function (double) returning double doub…
"declare foo as function (pointer to char) returning pointer to array 4 of pointer to function (double) returning double" i would not call English
i think this type of interaction is the future in lots of areas. i can imagine we replace API's completely with a single endpoint where you hit it up with a description of what you want back. like, hit up 'news.ycombinator.com/api' with "give me all the highest rated submissions over the past week about LLMs". a server side LLM translates that to SQL, executes the query, returns the results. this approach is broadly…
Except you don't need an LLM to do any of this, and it's already computationally cheaper. If you don't know the results you want, you should figure that out first, instead of asking a Markov chain to do it.
Long live bash scripts universal ability to mostly just run.
It's good that you have a "read" statement to force confirmation by the user of the command, but all it takes is one errant accidental enter to end up running arbitrary code returned from the LLM. I'd constrain the tool to only run "ffmpeg" and extract the options/parameters from the LLM instead.
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It's good that you have a "read" statement to force confirmation by the user of the command, but all it takes is one errant accidental enter to end up running arbitrary code returned from the LLM. I'd constrain the tool to only run "ffmpeg" and extract the options/parameters from the LLM instead.
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