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.
uhm, no? Literally none of that was considered AI. Even chatbots, people weren’t calling them AI until LLMs came around and were stuck in them. Lisp is a language USED for AI research, that doesn’t make it AI itself.
This bot is most definitely not even close to what people consider AI
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
I didn’t say Lisp was AI. I said it was a language used for AI.
@Zeoic You are both correct. Chess was chosen as an early problem domain for work on first-order logic-based programming. That certainly was considered AI. People really interested in chess later abandoned logic programming in favor of brute-force, highly parallel special purpose hardware. That was not AI.
“Expert systems” (I hate that term) are application area of “Pattern-Directed Inference Systems” (PDIS). Rule-based systems are just one type of PDIS. For example, “Constraint Satisfaction” is another powerful AI technique often used in resource optimization and scheduling systems.