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   Bø!rge (forteller@tutoteket.no)'s status on Monday, 30-Oct-2023 12:44:02 JST Bø!rge

   in reply to

   • Cassidy James :eos: :gg: :fh:

   @cassidy Interesting thoughts, and of course there are a ton of useful things local AI/LLMs can be used for. But I feel like maybe first there needs to be developed some system that makes sure that all apps using such a tool can use the same tool, and not every one of them having to install their own? Maybe that's already possible, IDK, but what I know is that all map apps need to download and store separate map data, all apps seems to have separate dictionaries etc. LLMs are too big for this

   • Embed this notice
     Cassidy James :eos: :gg: :fh: (cassidy@mastodon.blaede.family)'s status on Monday, 30-Oct-2023 12:44:04 JST Cassidy James :eos: :gg: :fh:

     in reply to

     • Megalodon
     • Lucas @Moshidon 🇺🇦

     Third-party clients like @megalodon and @moshidon, *this* is the type of useful feature I would love to see you all poke at next. UI niceties are always welcome, but I think there is a ton of innovation that could happen at the client level, on device, without having to change anything on the server side.

     I feel like actual innovation in the Fediverse has hardly begun.

   • Embed this notice
     Cassidy James :eos: :gg: :fh: (cassidy@mastodon.blaede.family)'s status on Monday, 30-Oct-2023 12:44:06 JST Cassidy James :eos: :gg: :fh:

     in reply to

     This could 1000% be branded as “AI” today where machine learning has been deceptively rebranded, but however you spin it, it feels like a genuinely useful feature that could be done ethically on device, and make lives better.

     Imagine being able to quickly choose to filter out topics based on a post without having to come up with the keywords yourself… and since it is built on open technologies and APIs, the end result wouldn’t be some black box algorithm—it would be transparent and obvious.

   • Embed this notice
     Cassidy James :eos: :gg: :fh: (cassidy@mastodon.blaede.family)'s status on Monday, 30-Oct-2023 12:44:07 JST Cassidy James :eos: :gg: :fh:

     Hear me out; here is a place I feel like an on-device machine learning model would make a Mastodon client dope:

     Say you see a post you don’t like (like w/non-content-warned photos of spiders). It’d be neat to be able to hit a button to “filter posts like this.” That could use some text parsing of the post and alt text to propose topics/phrases to add to filters. And since filters are a Mastodon feature accessible via the API, they’d end up filtered server side going forward.

     #Mastodon #ML