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you can get paid $550 to sit in a room and argue about whether someone deserves money no law degree no experience no qualifications they literally just need a body with an opinion it's called a mock jury study and it's one of the most slept-on income streams i've ever come across here's what happens: before big lawsuits go to trial, law firms hire regular people to pretend to be a jury they present the case. you deliberate with the group. you give a verdict the lawyers use your feedback to adjust their strategy before the real trial and they pay STUPID well because: they need people fast barely anyone knows this exists and they need diverse demographics i stumbled onto this sophomore year of college when i was trying to not be completely broke everyone's broke in college. so when i found out you could make $200-550 sitting in a room for a few hours giving your opinion on a legal case i thought someone was messing with me they weren't the whole market research industry is worth $140 BILLION a year and they are constantly looking for regular people to fill these studies mock juries. focus groups. UX tests. B2B interviews. diary studies most people only know about the $2 surveys and that's why most people think this space is dead it's not dead you're just looking at the wrong side of it comment "JURY" and i'll send you exactly where to find these and how to get accepted consistently (must be following for DM)

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Andrej, I’m John Fletcher. I have a PhD in mathematics and theoretical physics from Cambridge, and since 2016 I have been working full-time on the problem of how to coordinate untrusted distributed compute for algorithmic innovation. I listened to your No Priors conversation and recognised the architecture you were describing: commits that build on each other, computational asymmetry (hard to find, cheap to verify), an untrusted pool of workers collaborating through a blockchain-like structure. The result is The Innovation Game (TIG), which has been in continuous operation since mid-2024. The correspondence is so close that I thought it worth writing. The short version: roughly 7,000 Benchmarkers test algorithms submitted by Innovators by solving instances of asymmetric computational challenges (SAT, Vehicle Routing, Quadratic Knapsack, Vector Search, among others). This testing is "proof of work" in the technical sense of Dwork and Naor (1992). Innovators earn rewards proportional to adoption by the Benchmarkers. The repository of algorithms is open source (github.com/tig-foundation…). The system is already producing state-of-the-art results. For the Quadratic Knapsack Problem, 476 iterative submissions by independent contributors brought solution quality to a level that now exceeds methods published by Hochbaum et al. in the European Journal of Operational Research (2025). We are working with Thibaut Vidal (Polytechnique Montréal), who has submitted a state-of-the-art vehicle routing algorithm directly to TIG, and with Yuji Nakatsukasa (Oxford) and Dario Paccagnan (Imperial College London), among many others. One of TIG’s active challenges is directly relevant to your autoresearch work: an optimiser for neural network training (play.tig.foundation/challenges?cha…), where Innovators compete to develop an improved optimiser (see screenshot). One way in which TIG extends the vision is on the economic side. In our view, a monetary incentive is required, otherwise the open strand simply cannot compete at scale. TIG’s open source dual licensing model (designed by my co-founder Philip David, who was General Counsel at Arm Holdings for over a decade, and was the artchitect of ARMs licensing strategy) is intended to solve that problem. I expect we have each thought about parts of this that the other hasn’t. Happy to talk whenever suits. John Fletcher tig.foundation

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