{"art_url":"https://d1liwsgvdtvkdb.cloudfront.net/art/q_6a932ae1b264d02bc7/qm-ascii-fit-v1/fc91c984eb5bbf5f44d4f2b72372da8d183db62a0c4b0a82828eea52bb5d544c/1200.jpg","art_url_600":null,"id":"q_6a932ae1b264d02bc7","text":"Define a serious scientific and product program for calibrated forecasting, small world models, continual learning, epistemic truth, curiosity, scientific discovery, investment, and life-project deliberation.","display_title":"How should a program advance calibrated forecasting and scientific discovery?","slug":"define-a-serious-scientific-and-product-program-for-calibrated","status":"answered","entities":["FORECASTING"],"ref_url":null,"forecasters":null,"created":"2026-07-20T00:00:00Z","budget_cents":1500,"tier":"standard","raised_cents":0,"funders":0,"artifact":{"id":"a_6a932ae1f3d21da09a","question_id":"q_6a932ae1b264d02bc7","latest_rev":1,"machine_price_cents":50,"freshness_hours":72,"external_url":"https://eternis-forecasting-agenda.us-east-1.gists.org","teaser":{"summary":"Build one shared Eternis Forecast Ledger first, then evaluate a boundary-driven Curiosity Engine by realized predictive information gain, decision value, learning progress, diversity, cost, and resistance to noise traps.","verdict":"Build one shared Eternis Forecast Ledger first, then evaluate a boundary-driven Curiosity Engine by realized predictive information gain, decision value, learning progress, diversity, cost, and resistance to noise traps.","headline":{"direction":"mixed","confidence_band":"medium","magnitude_class":"moderate"},"question":"Define a serious scientific and product program for calibrated forecasting, small world models, continual learning, epistemic truth, curiosity, scientific discovery, investment, and life-project deliberation.","citations_count":0},"downloads":0,"unique_buyers":0,"age_hours":2133.3}}