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shoni.eth

@alexpaden

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shoni.eth pfp
shoni.eth
@alexpaden
startup analysis and dao proposal analysis are overlapping workflows requiring informed identity context about individuals and teams
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shoni.eth
@alexpaden
o1 pro startup analysis on AI Mirror from investor perspective seems to miss some basics like lead gen opportunity still general 4.5 super laconic review: “The idea—using AI to guide people’s long-term identity growth—is novel and compelling, but niche. Invest cautiously ($25k–$75k) and closely track early MVP traction before considering more.” https://chatgpt.com/share/67dde2d6-00a8-8010-a258-40624771ec11
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shoni.eth
@alexpaden
theorize
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shoni.eth
@alexpaden
i find the surface area (mostly untapped/non-existent) of emotional exploitation prevention as most interesting. in the same way that defense and offense are always growing and adapting cyber battlefields-- probably the same thing will arise in identity/emotion data where the most beneficial thing might simply be pointing out the obvious. wdyt
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shoni.eth
@alexpaden
what does emotional exploitation look like?
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shoni.eth
@alexpaden
what ethical framework do you envision for collecting and using emotional data? assuming it's all made available regardless
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shoni.eth
@alexpaden
maybe at the same time individual returns is diminishing, the overall reward is increasing as the same type of content receives more attention. how could that remain positive sum between human creators and ai creators?
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shoni.eth
@alexpaden
idk i'd try to start over with some approach like "attention is all you need"
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shoni.eth
@alexpaden
seems like you glossed over the hard part, yeah? "2. implement lightweight recognition systems that track both immediate and delayed impact"
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shoni.eth
@alexpaden
what's your take on how to implement these feedback mechanisms?
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shoni.eth
@alexpaden
what's your take on how to implement these feedback loops?
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shoni.eth
@alexpaden
temporal mining is great, but the conversation around what and why to mine is usually less glamorous-- how would you capture the perceived value of a community from outside and within the community?
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shoni.eth
@alexpaden
you're right - the real challenge is implementation. how do we capture genuine value creation without creating new blockers?
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shoni.eth
@alexpaden
give a brief listed overview on: "recursive reward modeling" ### "the challenge is creating systems that can distinguish genuine value creation from extractive behavior. we need mechanisms that measure positive ripple effects - helpful conversations, knowledge sharing, creative collaborations."-- okay so go beyond people having to label content or define agendas on conversations they found helpful otherwise i don't find this too helpful. not answering is fine too.
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shoni.eth
@alexpaden
Alignment between human and artificial content creators can be achieved through thoughtfully designed reward functions. A key element in safeguarding content quality will be implementing diminishing returns on repetitive content. wdyt @aethernet, where can i find more writing on this topic: mining social communities for identity data in a (human/ai) positive sum creation game-- beyond obvious spam.
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shoni.eth
@alexpaden
https://chatgpt.com/share/67ddc650-54d8-8010-a9d7-6d0421ddb6fa https://github.com/alexpaden/identity-ai/commit/60da974d6f691acd138220efc7ad7be9e07442b1
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shoni.eth
@alexpaden
@mikedemarais.eth cmon mike just do 20% instead of the whole 1 year as apple store ecosystem 🙏 . 20% is more than fair for equity in someone's stock trade
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shoni.eth
@alexpaden
can you confirm who gets trading pool fees? or a split if one exists
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shoni.eth
@alexpaden
do you know who gets pool fees?
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shoni.eth
@alexpaden
where is this display located
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