I mean that's the problem though.
I mean that's the problem though. I'm not paid to spend 2 years fine tuning a framework. I have things that need to get done, accurately and precisely. And to me, to my work, the models just suck without intense prompting. The harnesses are simultaneously too open and restrictive, and annoying. The terms are too overloaded. The models fight with me on highly domain specific knowledge that it's long since compressed or quantized away, until I fill the context with the documentation. It's all a nightmare to get up the learning curve. I'm not blaming you, but it's incredible how much open source garbage there is and people spend years making actually good stuff that actually works and nobody's publishing it. So to me, and I'm trying, but to me your point is hearsay at best. You may as well have told me it took 2 seconds and you've always had a perfect time with it. It's all meaningless to me.
Posted by Neywiny on Oct 10, 2026, 12:24 AM
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Raise real-world problems, find people facing the same issue, and discuss solutions.2,000 issues0 comments
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I mean that's the problem though.
I've always believed the opposite: get conditionals deep in your code so that the higher level control flow is regular.
The biggest problem with AI isn't being able to do things.
I am a 3D printing maker type nerd (I make my own tools for other creative tasks, rather than as their own outcomes) and I saw an incredi...
Of course not, those are clearly scams.
Claude makes more detailed plans that seem better if you just skim them, but when analyzed, has a lot of errors, usually.
Effectively everyone is building the same tools with zero quantitative benchmarks or evidence behind the why / ideas … this entire s...
> creating and operating a small company in Germany is a nightmare To be fair, I think the problem operating in Germany is its federated...
I mean that's the problem though.
I mean that's the problem though. I'm not paid to spend 2 years fine tuning a framework. I have things that need to get done, accurately and precisely. And to me, to my work, the models just suck without intense prompting. The harnesses are simultaneously too open and restrictive, and annoying. The terms are too overloaded. The models fight with me on highly domain specific knowledge that it's long since compressed or quantized away, until I fill the context with the documentation. It's all a nightmare to get up the learning curve. I'm not blaming you, but it's incredible how much open source garbage there is and people spend years making actually good stuff that actually works and nobody's publishing it. So to me, and I'm trying, but to me your point is hearsay at best. You may as well have told me it took 2 seconds and you've always had a perfect time with it. It's all meaningless to me.
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