https://case.edu/ech/articles/c/cleveland-freenet

Btw this type of grammar error can be found by proofreading your posts with ChatGPT powered OpenClaw assistant.

The corn doesn't just produce ethanol, which just utilizes the starch/sugar. The protein, fat, fiber is eaten by livestock in some form like distillers grains.

And governments like to have food security , and having secondary uses for an abundance of food in the good times is more convenient than storing cheese in caves , and in case of an emergency shortage the production is already there without having to rip up solar panels to grow food.

My conclusion is you're conflating issues (solar and ethanol) unnecessarily.

This is not really a qualification to speak on how the grid works, at all.

Actually having panels on your roof doesn't give you unique insight into how solar panels operate - there is extensive data out there, any PV installation can become a data source trivially.

> The reality is that battery/solar requires major quality of life and activity time shifting trade-offs.

One residence powering itself is not representative of how the grid works, and is not a good way to evaluate any power generation technology whether its PV, coal, nuclear, etc.

Plenty of reasons: - Maybe the maintainers don't have enough credits to run the LLM themselves - Maybe the maintainers don't value fixing the issue which is why it sits in issue tracker - Maybe LLM user has a different model or harness that produces different outcomes - Maybe the LLM user runs the model over and over and gets lucky

Why reject a working solution?

Hey I thought you were a proponent of "no one needs to look at the code" ? dark factory, etc etc.

I don't deny it. When I said "mess around with making a password manager suit your taste" feel free to append " while using and getting experience with an LLM". nothing changes.

im glad you're dogfooding your pw manager now. I'm glad vibe coding met your own standard of quality.

I will leave it as an exercise to you to think about all the edge cases and usability issues that have been solved in mainstream pw managers that you've never thought about. I hope you keep your LLM subscription active so you can fix them as they come up. And to keep up with updates from IOS and firefox as they come out.

I don't think your password manager is good, and I don't think you think it's good either or you'd be using it.

I'm not trolling. It's way cheaper and faster to just clone an existing project if you want to mess around with making a password manager suit your taste.

For all intents and purposes, (in the context of diddling around with a password manager you might use yourself and wouldn't recommend to anyone), Any/all of those existing open source password managers can ALSO be yours just as much as the output from any LLM.

I'm serious, not only can you tweak them to "your tastes and your tastes alone", you don't have to even tell upstream maintainers what you're doing let alone get it merged.

Did you investigate prior art before setting out on this endeavor? https://www.google.com/search?q=site%3Agithub.com+password+m...

I ask because engineers need to be clever and wise.

Clever means being capable of turning an idea into code, either by writing it or recently by having the vocabulary and eloquence to prompt an LLM.

Wisdom means knowing when and where to apply cleverness, and where not to. like being able to recognize existing sub-components.

(wow funny how these vibe code apps always are copies of something theres many open source versions of already)

once all interactions appear instantaneous to a human, which is usually possible even with python et al, reducing CPU usage doesn't matter in 99.9% of cases that the app never gets popular enough that the savings in running the app would even add up to the cost of a LLM subscription.

Also, in most instances CRUD apps could run with their own data structures and filesystem data persistence. Not to say its a good idea,But I'd wager you could get on the frontpage with "show HN: I build a ToDo app that's 10x cheaper to run on AWS than Django".

In reality SQL databases, along with programming languages, OS utilities, webservers, crytography, and probably a few other technologies are basically bedrock technologies that LLM builds upon and have durable value, unlike Dev Tools / Frame Works / Simplified Human Interface wrapper projects, such as django ansible and the thousands of similar projects .

The more LLMs *CAN* code, human oriented coding tools and concerns become worthless.

Why? I believe full stack frameworks solved a problem for human coders, not AI coders. In fact they are only a limitation for AI going between programming language and runtime.