You make a good point. I forget about monero in contrast to the rest of the crypto shitfest.

While that's unfortunately true in more places than it should be, that's not its only use. Its a tool like any other.

Edit: I also don't thing those are normally LLM's but instead machine learning algorithms. The thing that "ai" used to be til ChatGPT came along

LLMs are just a tool, just like airplanes or hammers. An airplane is very expensive, but better at going really far distances than humans can on foot. A hammer is cheaper than a human, but by itself is useless unless operated properly. Despite the tone of the outputs, LLMs should not be authoritative and human judgement shouldn't be replaced with them.

Just on the security side of coding, highly skilled security engineers at Mozilla were able to use Claude Mythos to identify and address many issues to make Firefox more secure. Some if these issues were introduced over 10 years ago, and a human could have identified and fixed them but human speed of reading and finding will always be a bottleneck. Having highly skilled humans offload the slow task to go through the codebase and raise issues, allowed them to find and understand the nuanced problem, and work on a fix. The key here is giving the people with the skills the ability be enhanced with LLMs, not replace them with one.

I mean thats easy. Did you miss the part where I said tool?

Rapid prototyping of weekend projects.

The starting point for troubleshooting said weekend projects.

Do you know how much it would cost me to pay a human to fill that role?

I once had an AI chatbot clean up a 3D model in under a minute with just a simple command

Fixing small computer or programming issues in a single prompt, instead of clicking through 6 different ad-infesteted, SEO optimized websites with 95% filler text and redundant phrases before giving a wrong answer.

Why would we need data centers in 2030? It'll just run on consumer hardware then.