33
What's the motivation behind vibe-hobbying?
(feddit.org)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 20 Sep 2026
33 points (90.2% liked)
LocalLLaMA
5169 readers
58 users here now
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.
founded 3 years ago
MODERATORS
This touches on something important: programmers seriously overestimate the value of their own code. This was true long before AI.
I've been in the industry the better part of 40 years, and been through many mergers and acquisitions of tech companies (hell, I lived through the dotcom boom and bust for a start); I can count on the fingers of one foot the number of times the code that arrived as part of an acquisition had any value - nine times out of ten, it's easier to just ditch it and rewrite than integrate someone else's code; what you are buying in those deals isn't the code, it's the domain knowledge of what it should do and how that you are acquiring (which is why looking after the key people who understand the domain/business is the no.1 goal to make tech acquisitions successful.)
All AI is going now is making everyone realise what was already true - code isn't an asset, it's a liability. Design, architecture, translation of needs/business rules into an overall solution that meets them - they are an asset. The actual code is a dead weight and if you are ever afraid of rewriting it, it's just technical debt that you're hiding behind a wall of copium. So who cares if the output of an LLM is ugly or unmaintainable? All code is ugly and unmaintainable, and you should have been treating it that way anyway.
You're damned right! Every company treats their code like it's a precious trade secret when in reality it is just what the intern got working four years ago in a few, confused days.
There's been many leaks of internal code over the years. What have we learned from that? It's useless for any purpose outside the organization. It could be a way for an attacker to find a vulnerability, but what it really reveals is that not a line of it is worth anything at all to competitors. Hence, it's not precious and not really a trade secret.