Local LLMs versus offline Wikipedia
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Local LLMs versus offline Wikipedia
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Re: Local LLMs versus offline Wikipedia
#2LLM+Wikipedia RAG
Re: Local LLMs versus offline Wikipedia
#3Why not both? LLM+Wikipedia RAG
Re: Local LLMs versus offline Wikipedia
#4My "help reboot society with the help of my little USB stick" thing was a throwaway remark to the journalist at a random point in the interview, I didn't anticipate them using it in the article! https://www.technologyreview.com/2025/07/17/1120391/how-to-r...
A bunch of people have pointed out that downloading Wikipedia itself onto a USB stick is sensible, and I agree with them.
Wikipedia dumps default to MySQL, so I'd prefer to convert that to SQLite and get SQLite FTS working.
1TB or more USB sticks are pretty available these days so it's not like there's a space shortage to worry about for that.
Re: Local LLMs versus offline Wikipedia
#5Why kids are worse than AI companies and have to bum around?)
Re: Local LLMs versus offline Wikipedia
#6Re: Local LLMs versus offline Wikipedia
#7LLMs will return faulty or imprecise information at times, but what they can do is understand vague or poorly formed questions and help guide a user toward an answer. They can explain complex ideas in simpler terms, adapt responses based on the user's level of understanding, and connect dots across disciplines.
In a "rebooting society" scenario, that kind of interactive comprehension could be more valuable. You wouldn’t just have a frozen snapshot of knowledge, you’d have a tool that can help people use it, even if they’re starting with limited background.
Re: Local LLMs versus offline Wikipedia
#8Re: Local LLMs versus offline Wikipedia
#9One important distinction is that the strength of LLMs isn't just in storing or retrieving knowledge like Wikipedia, it’s in comprehension. LLMs will return faulty or imprecise information at times, but what they can do is understand vague or poorly formed questions and help guide a user toward an answer. They can explain complex ideas in simpler terms, adapt responses based on the user's level of understanding, and…