Show HN: AnythingLLM – Open-Source, All-in-One Desktop AI Assistant

81–82 of 82 posts

Re: Show HN: AnythingLLM – Open-Source, All-in-One Desktop AI Assistant

#81

Post by nunobrito » Sun, Sep 08, 2024, 7:06 PM UTC

viraptor wrote: post #53

nunobrito wrote: post #8

There was an error while installing on Linux, was solved with: ''' sudo chown root:root /home/hn/AnythingLLMDesktop/anythingllm-desktop/chrome-sandbox sudo chmod 4755 /home/hn/AnythingLLMDesktop/anythingllm-desktop/chrome-sandbox ''' Other than that it worked really well.

Please don't follow this. There has to be a better solution. This will make the chrome-sandbox run as root with access to everything and you really shouldn't do that. Figure out how to assign proper permissions instead. (Or at least don't invite other people to do the same thing...)

I have zero issues with Chrome running as root for this tool. I'm a realist rather than idealist.

Things that work and won't take over my machine. Of course I might be wrong or my previous post might have been written by skynet to deceive more users to give their machine in service of the borg.

Who knows. All I know is that it worked and I wouldn't sinceraly wait for an answer eventually in the future to get it sorted. Won't run it again so soon anyways. YMMV

Re: Show HN: AnythingLLM – Open-Source, All-in-One Desktop AI Assistant

#82

Post by nativeit » Mon, Sep 09, 2024, 5:59 PM UTC

jrm4 wrote: post #74

smokel wrote: post #65

Earlier quoted context omitted.

Training and inference are two different things. The incentive to make some model open is unrelated to hardware cost. Perhaps you are missing something in my arguments that I can clear up?

No, what I'm saying is -- it's kind of like Linux. Yes, it would cost kabillions to recreate Linux from scratch. But no one has to anymore because it's here and anyone can just grab it. Same with the models. What I can download right now from Huggingface is going to be 90% or more already there, and I can tweak them at home, despite how much it may have cost to make them in the first place.

The balance may also shift towards more highly specific data that tunes local models towards the individual user. If that ultimately becomes more useful than, say, purchasing rights to some large archive of copyrighted materials, then things may lean farther towards a shared foundation upon which most day-to-day applications are developed. It will likely depend on the application and its specific focus, I don’t know that things will settle into an either/or situation, rather than a both/and.

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