this post was submitted on 13 Jul 2026
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you know, i've tried to defend some usage in the past, explaining my processes and the many steps of manual refinement, masking, and layerwork i put in to things, how i only run local models with open weights, how all my power comes from hydro etc etc
but as the tools keep evolving i've realised nobody else seems to actually care about the process. the pro-people just want as much slop as possible. someone likened it to a slot machine, where you keep pulling just because. that's where we are now.
I fully get where youāre coming from. I fully believe that you canāt vibe code correctly unless you already know how to code correctly. Iām against the shifting paradigm of āwho cares what the code looks like aa long as it works properly and the LLM can read it quicklyā bullshit thatās coming out of it. I want to read the code and understand it too. I want it to be object oriented and not just dumb ad hoc methods everywhere thatās 1,000 lines when it couldāve been 100 lines.
Now anecdotally, as someone who uses it for my main work and side project, I am still getting a lot of use out of it. Iām learning new things at a faster rate than I would have before. For my side project, I am trying to optimize gear sets for a game and thereās hundreds of millions of different configurations. The LLM Iām using knows about my code and the project and what I need and is able to suggest other algorithms, like I was able to learn about Dinkelbachās algorithm. I have it write up design docs with formulas and pseudocode implementation and I review that and it takes my comments into account. I treat it like a junior developer and ask for questions to make sure I understand what itās doing. I think a lot of people arenāt treating it like a junior developer or intern and thatās where problems come from.
Now, I wouldnāt be using it if it wasnāt free with my company, as this is more of ālearning/researchā for my job.
And for my job, we have semantic memory and a ton of MCP servers setup that guide it through the right code and can do internal documentation search so itās way more powerful than just using base Claude Code or whatever. It has helped me stay more on track with my projects as an ADHD person (even though Iām medicated) by documenting what it does after it does it in a shared doc rather than me forgetting to do that because I run a command and log off for the day or something.
I do hate the water usage and energy usage thoughā¦
As a min maxer in a lot of games, I used to make spreadsheets in little tiny janky python programs do all sorts of crazy s*** to optimize stuff.
Would spend hours on it! A little local model has basically reduced my effort. 10. Fold and saved me hours upon hours of work.
Probably the single best thing is I can just yell at it to tell me what's on the f****** to-do list and it will just tell me. And it helps my ADHD ass actually decide on what to start working on for the day and actually get something done instead of doing 20 things at once.
Fantastic little tool.
Now I have more time to play my games and I have something to yell at me so I don't get distracted
Same, but you forgot, the massive stealing of intellectual property that no government fights against because they are scared to be left behind by big tech, the impact on learning (especially students), and the impact on little hands that had to moderate the NSFL content.
i refuse to use ml models for code. the copyright issues alone should be enough to keep them away from every public code base until the matter is settled. but also because local tooling is, frankly, shit. i have a bit of hope for text diffusion models, but i have a hard time seeing the situation improving because everyote is full in on cloud models now.
Imagine if you put that much time into a useful skill.
i do. i experiment with transformer and diffusion models like a few hours a month, tops. the result isn't interesting enough. the process of bending and breaking the models is the fun part.
Sounds like it's a very rewarding hobby lol.
yeah, it's a great way to see the limitations of these systems. just like ctf and ioccc.
I was being sarcastic, man. That sounds like a tremendous waste of time.
i will always take the time to explain things i find interesting to people. the benefit here is that i can now much more efficiently break large models as well when i come across them. helps me add anti-ai clauses to websites, cv's, and repos i publish.
Don't bother explaining to them. Their name is a misnomer, and they're an acerbic moron.
Thanks for taking one for the team then, I guess!
it's the curse of getting into something early and it becoming a global issue; i did a course on machine learning in 2014 and have tinkered since then.
like imagine getting into blockchain-based systems because of git in 2007. can't talk about that stuff at all now.
Surely you can see the damage it's doing to human creativity and intelligence, the economy, and the ecosystem as a whole.
oh i am anti as all hell. i have knowledge of how the models tend to work, how the training is done, and how reasoning and tool use is implemented. that's why i never use online models and check the datasets of local ones.
but like... the idea isn't bad. it's just that the way people use it is to steal information, burn through massive resources, and atrophy their knowledge. just like how the idea of a block chain, or a uniquely identifiable digital token, isn't intrinsically bad, but the biggest use was grifting.
a model trained on consensually acquired data, using only renewable energy, run locally, can still achieve useful things like quickly finding information from a loose query, doing bulk edits, making templates and placeholders, or offering suggestions. it's just that it would take longer and not be hype-worthy. so no for-profit entity does it. that's what makes projects like the ai horde interesting.