I currently have a secondary pool (with raidz2) that I was originally going to use for my important documents, such as storage for Paperless-ngx, as raidz offers corruption detection and repair. The pool is encrypted.

However, I'm concerned about rebuild times (it's a pool of 4 22TB drives). Is btrfs a better choice for this use case, or should I just go with raidz like I originally planned?

Edit: I should have mentioned that I already have 4-3-2 backups configured - I'm primarily interested in the "self-healing" aspect of ZFS so that I don't have to recover from backups unless necessary, and to resolve corruption on the fly without me having to notice that a file is corrupt.

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[–] 1 point 4 months ago (1 child)

https://www.chessprogramming.org/Artificial_Intelligence

" the term 'artificial intelligence' was coined by John McCarthy in the proposal for the 1956 Dartmouth Conference [4] . In its beginning, Computer Chess was called the Drosophila of Artificial Intelligence. "

Expert Systems:

https://en.wikipedia.org/wiki/Expert_system "In artificial intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert.[1] "

Chatbots in AI:

https://liacademy.co.uk/the-story-of-eliza-the-ai-that-fooled-the-world/

https://en.wikipedia.org/wiki/Eugene_Goostman

Lisp is a language USED for AI research, that doesn’t make it AI itself. "Lisp was an AI language."

I didn't say Lisp was AI. I said it was a language used for AI.

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  • [–] 1 point 4 months ago

    @Blue_Morpho @selfhosted Thanks for posting this. Some interesting articles that I didn’t know about. The Wikipedia article on expert systems needs some work. Apart from editing, the content is fine but incomplete, and the citations are not the best. I may take a crack at contributing, or I might take a nap. The 80s-90s were my prime years as a developer of intelligent systems, including but not limited to knowledge based expert systems. One of the most successful AI tools I co-invented was SHINE, still in use today.

    https://en.wikipedia.org/wiki/SHINE/_Expert/_System

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