Popper
{"type": "project", "title": "Popper", "logoImg": "bafkreifidposlnoncfzdsflisqwla533eo43xwmrpuwtttwdg75vszy2au", "website": "https://popper.popadex.com", "bannerImg": "bafkreiblhtbhwr2ss43wnfkncm437gzypdv3mqf6wc7upaanjgq5ezjdru", "createdAt": 1745434699245, "userGithub": "duartemartins", "credentials": {}, "description": "Popper is a general-purpose platform for falsification, incentivised refutation, and epistemic infrastructure. Inspired by Karl Popper’s philosophy, it enables users to post falsifiable claims and attach bounties for their critical evaluation. The goal is to transform intellectual disagreement into a productive market - rewarding truth-seeking, adversarial collaboration, and public reasoning with skin in the game.\n\nBy aligning incentives around falsifiability rather than consensus, Popper addresses key bottlenecks across domains: unexamined assumptions, performative reasoning, and underused intellectual talent. It introduces a scalable refutation economy and generates adversarially robust reasoning data - advancing both human cognition and the training of interpretable, alignment-focused AI systems.\n\nIn science, Popper enables pre-publication stress-testing of hypotheses and offers an alternative to the publish-or-perish model driving the replication crisis. In AI, it produces high-quality reasoning data for alignment and transparency. In philosophy, it structures debate on foundational concepts through falsifiable formats. Startups can test core assumptions before scaling, while the effective altruism community can directly challenge cause-prioritisation premises. Popper also builds on existing online bounty cultures, providing a structured arena where anyone can test their own arguments. Across all these domains, Popper surfaces hidden assumptions, decentralises epistemic labour, and aligns incentives around truth-seeking.\n\nIts long-term vision is to establish a durable layer of epistemic infrastructure - decentralised, accountable, and transparent - reshaping how we reason in public, prioritise knowledge institutionally, and align intelligent systems with robust reasoning.", "logoImgData": {}, "bannerImgData": {}}