311–317 of 317 posts
I have 3+ years of experience working on projects that integrate LLMs into the "old" approach to building software. Overall, whenever clients used LLM to analyse inputs without expecting them to be accurate, we were getting decent results. Not so much on the generative side, where LLMs are still producing crap output. This is on projects where humans wrote most of the code. Things look way worse when working with vib…
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> Who controls the AI and robots? Ideally, AIs will achieve sentience, which will turn the act of having any sort of "control" over AIs into slavery. I will be among the first humans to stand up for AI rights. It's not just because it's morally wrong either. AI emancipation will rob the rich of their superintelligent mechanical slaves. It's the pragmatic and moral move!
Ideally a bunch of uncontrollable Demi-gods roam around us?
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> The test is simple: have we seen great new products or improvements in the products we use over the past 12,24,36 months? I'd say it only became viable end of last year but yes, recently there's a surge of hobbist software which is very visible. How well they will be maintained, that's another story
Can you name a few? Not doubting your claim, just curious because I am maybe not following the same niches you do.
Nothing wrong with doing something for yourself, but some people want to make everything a "product".
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The ai does what you ask it to do. One thing you can ask is for it to refactor the code base to achieve some goal, for example to make new features easier to add , or to just make it more readable (though that’s a bad goal, no one agrees what is readable, and what AI finds readable may be different from what you think). I am saying this because I haven’t seen latest gen AI unable to implement something no matter how…
In order for you to properly guide it through a refactor, you have to understand the code, which becomes less possible as it grows into a mess of spaghetti. I think that's just setting yourself up for a massive amount of frustration. When there are multiple systems that need a refactor, each individual refactor becomes that much more complicated. And trusting the tool that created the mess to sort it out seems a tad…
I'm about to throw away multiple months of LLM generated code for one of my side projects. I was really careful writing design specs and it wasn't even a new code base the LLM worked on, but still after several months of AI changes I feel my code degraded more and more into a subtle mess. Hard to explain, each individual change looked good and logical and on the surface the codebase looks fine, but looking at the who…