These days we have to expect many projects will have them. It’s really a question of how responsibly and carefully AI is used. Some people just throw in their requirements, have the AI spit out code, do a cursory check to see if it seems to work, and that’s it. Other people take responsibility for the architecture and the code quality, using AI in a focused way and reviewing the results carefully. I’d look at the quality of the architecture and code before judging. I confess I have not done that yet with this one; I just thought it sounded potentially interesting.
There are quite a few ways to write web applications with Rust these days, and while this sounds like it has potential, I’d still pick frameworks that are a little more mature for my own projects.
You don’t know the direct impact of this project on data center usage because you haven’t observed the development process. And you don’t know whether it infringes on copyright because you haven’t read the code.
The existing local models already exist, and new releases will happen because the companies want to sell you inference. They receive no profit or incentive to release the models as open weights but they do it anyway - There is no coherent ethical delimma against using them locally, as it has no effect on whether the companies will or will not be encouraged to do more training.
I’m using it locally, with models my existing computer can handle. I think, but I’m not sure, that it’s better for the environment than buying into some massive model hosted in a data centre. And I don’t want to lose my skills so I still try to do as much as I can without calling on it.
No, and I do understand that training is the most energy-intensive part of the process. I don’t know how exactly it divides up: how much of the work of massive data centres is training and how much is running people’s queries on finished models.
⚠TRIGGER WARNING⚠ two
tokio-rsrepos (this andtoasty) haveAGENTS.mdfiles.These days we have to expect many projects will have them. It’s really a question of how responsibly and carefully AI is used. Some people just throw in their requirements, have the AI spit out code, do a cursory check to see if it seems to work, and that’s it. Other people take responsibility for the architecture and the code quality, using AI in a focused way and reviewing the results carefully. I’d look at the quality of the architecture and code before judging. I confess I have not done that yet with this one; I just thought it sounded potentially interesting.
There are quite a few ways to write web applications with Rust these days, and while this sounds like it has potential, I’d still pick frameworks that are a little more mature for my own projects.
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How do you know it was built irresponsibly without reading the code, which is something you should be doing when adopting a dependency anyway?
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You don’t know the direct impact of this project on data center usage because you haven’t observed the development process. And you don’t know whether it infringes on copyright because you haven’t read the code.
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you got me at “responsibly” burning resources.
Not everyone uses big data center powered LLM inference though. Running some models locally uses less power than playing a video game.
now where have these models been trained?
The existing local models already exist, and new releases will happen because the companies want to sell you inference. They receive no profit or incentive to release the models as open weights but they do it anyway - There is no coherent ethical delimma against using them locally, as it has no effect on whether the companies will or will not be encouraged to do more training.
I’m using it locally, with models my existing computer can handle. I think, but I’m not sure, that it’s better for the environment than buying into some massive model hosted in a data centre. And I don’t want to lose my skills so I still try to do as much as I can without calling on it.
did you generate your model locally?
No, and I do understand that training is the most energy-intensive part of the process. I don’t know how exactly it divides up: how much of the work of massive data centres is training and how much is running people’s queries on finished models.
maybe ask the vendor to let him pay the actual cost plus a proper profit margin to figure that out?