this post was submitted on 03 Jun 2025
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LocalLLaMA

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Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

Rules:

Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.

Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.

Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.

Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.

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Sorry team flipped the URL’s around to prevent overflow from lemmy.world users

https://fly.io/blog/youre-all-nuts/

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[–] Incblob@lemmy.world 1 points 3 weeks ago

Apart from the arguments that

  • yes, vibe coders exist and they will be cheaper to employ, creating huge long term problems, with a generational gap in senior programmers, who are the ones maintaining open source projects.
  • heinous environmental impact, and I mean heinous. This is my biggest problem honestly.
  • you're betting that llms will improve faster than programmers forget "the craft". Llms are wide, not deep, and the less programmers care about boilerplate and how things actually work, the less material for the llms - >feedback loop - > worse llms etc.

I use llms, hell I designed a workshop for my employer on how programmers can use llms, cursor, etc. But I don't think we're quite aware how we are screwing ourselves long term.