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balajis
@balajis.eth
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.
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Phoenix_jnr
@phoenixjnr
This is a fascinating take on what an AI-first social network could look like. A few additional thoughts: 1. AI-Personalized Feeds – Instead of just optimizing for engagement, AI could curate feeds based on deeper context—your evolving interests, intent, even mood. Less about what grabs attention, more about what actually resonates. 2. AI as a Social Layer – Beyond generating responses, AI could act as a kind of memory or continuity layer in conversations. Imagine an AI that remembers past discussions across different posts and brings up relevant context when needed. 3. Dynamic Content & Community Norms– The Olde English example is fun, but it could go further. Communities could develop their own AI-driven dialects, inside jokes, or evolving lore that adapts over time. Almost like a living culture shaped by AI.
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