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What does an AI-first social network look like? Some thoughts.
First, you can prototype it with Farcaster. You don’t need to reinvent users, wallets, the feed, any of that. So that alone speeds you up.
Second, open source models are now cheap enough to run that you can just put them behind a normal button. X’s Grok integration is a good example.
Third, there is tremendous room for an AI which is prompted not just on immediate context (your post) but on social context (your past posts and those of your friends). It could autogenerate prompts it thinks you’d like.
Fourth, AI improvements on seemingly simple things like image upload widgets could be profound. You could automatically search for similar images, upscale them, auto-annotate them, or do something else.
Fifth, AI could enforce a certain style in a community. As heavy-handed example, every post could be rewritten in Olde English. If you opted into this kind of moderation, it could produce unique communities. Like filters, but for text. 30 replies
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I think you misunderstood my idea...
But I hear you on end-to-end attribution, which (today) means full user lock-in to be able to target as efficiently as you could have w/ cookies.
But perhaps tomorrow, perhaps user data and privacy may be more portable and composable. If a user was presented with an alternative (bring your data) they could explicitly validate advertisement relevancy and frequency, based on what they need at that moment.
Ex. Lunchbreak, baby shower, st patties, etc. Is anybody doing a portable intent graph (purchase, reading/writing, relationships, work, home) – for permissionless ads - right time, place, context, price
You'd put out specific RFI bid requests:
I am in the market for x, y, or z (the user explicitly asks) and the best match products and services bid for their attention. Turn the traditional performance advertising model upside down. You know the productization of what Doc Searls wrote about in Intention Economy. 0 reply
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