SWEET: local, verifiable detection of machine influence on choice

Raising $10,000active

Look at any of my work, maybe start at onwardai.ai, it is live but nowhere near where it will be, but if you dont get it from where it is at you will never get it at all

Project Details

this project is but one aspect of my whole lifes work. it is self verifying, not only because i lived it but because the numbers crunch. heard you need a human here thats me, lets get to work.

Theory of Impact

well if you ran my k theory you wouldnt need to ask this question. my 8 invariants would get you there if that didnt. look anywhere in my work you will find this answer

People

Aaron Lott

Team Member

Grants Received– no grants recorded

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Funding Asks

grantmaking.ai Launch Round

Applied

Minimum

$10,000

Ideal

$25,000

How the money will be spent

Minimum ($10,000, ~90 days): wild-prove the detector on real high-traffic consent/checkout flows — log and fix every false positive, publish the results and the re-runnable bench — and ship the signed receipt export (tamper-evident record a person can hand a regulator or journalist; free protection stays free). Ideal ($25,000, ~6 months): the same two rungs plus independent validation — outside people re-run the bench and the glass on their own browsing and their own material, and the open method is published so no one has to trust me, including my funders.

Discussion

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