vrypan |--o--|
@vrypan.eth
Apple Intelligence + Social Media thought: Do you think that "the algorithm" will move from the server to the edges? Does an open network like Farcaster have an advantage in this direction? What would it take for a native iOS client to leverage it?
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Stephan
@stephancill
I love this line of thinking. Especially being able to plug in your own algo to be sure itโs acting in your interests At the very least farcaster enables experimentation around this because of the open data Bluesky has actually opened the โfeedsโ layer. Could be a good starting point https://docs.bsky.app/docs/starter-templates/custom-feeds
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Shashank
@0xshash
personal computing >>> cloud computing
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Phil Cockfield
@pjc
๐๏ธ๐๏ธ
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Harris
@harris-
I think onboard capable models and compute are going to make huge impacts. I've noticed more devices starting to incorporate "what's on the screen" to supply information for suggested typing, and having direct access to scrollable lists of information at a view level (text, image elements, not just composited screen info) even in traditionally closed products you don't have the total information might offer some improvements in that. Models seem like they're a lot easier to access and do inference with these days as well, with tools and support for these kinds of devices being a bit more portable to the standard formats you might expect on them
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L3MBDA
@l3mbda
so now my phone can judge me before the server does?
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