kaindume

This is very cool. Is there a way to resize the board, because it is too zoomed out and the back rank is slightly cropped out.

Hi everyone. Yesterday I started writing this proof of concept, LLM detector, that takes advantage of the fact that LLMs depend on training data.

I am posting it here to get feedback and to validate the idea before I dedicate more time on it.

> Regardless of their flaws, AI systems continue to impress with their ability to replicate certain human skills. Even if imperfect, such systems were a few years ago science fiction. It was not even clear that we were so near to create machines that could understand the human language, write programs, and find bugs in a complex code base: bugs that escaped the code review of a competent programmer.

If we factor in that LLMs only exist because of Google search, after they have indexed and collected all the data on the WWW than LLMs are not surprising. They only replicate what has been published on the web, even the coding agents are only possible because of free software and open-source, code like Redis that has been published on the WWW.

Self hosted and offline AI systems would be great for privacy but the hardware and electricity cost are much too high for most users. I am hoping for a P2P decentralized solution that runs on distributed hardware not controlled by a single corporation.

My 2 cents

There would be no GPT without Google, no Google without the WWW, no WWW without TCP/IP. This is why I believe calling it "AI" is a mistake or just for marketing, we should call all of them GPTs or search engines 2.0. This is the natural next step after you have indexed most of the web and collected most of the data.

Also there would be no coding agents without Free Software and Open-Source.