Ep. 99 - Philipp Koellinger & Christian Roessler Philipp and Christian are building Claims @DeSciClaims Subnet 111 Timestamps 0:00 - Highlights 1:48 - Proof of Pitch to Mainnet in Three Months 2:50 - Why Economists Find Bittensor Fascinating 3:42 - Citations as Science's Reward Function 4:29 - The Replication Nobody Would Publish 6:53 - How Much Published Science Is Wrong 8:26 - The AI Echo Chamber vs. Human Work 9:54 - Making 300 Million Papers Machine Readable 15:11 - Reproducibility vs. Citations 15:46 - Turning Papers Into a Knowledge Graph 16:20 - Why LLMs Hallucinate Citations 21:21 - Longer Context Windows Make This Obsolete? 22:56 - Coverage, Extraction Quality & Evidence Quality 25:16 - What Counts as a Substantive Claim 26:42 - What This Is Worth to Working Academics 27:37 - Academia Admits the System Is Broken 29:26 - How Do You Actually Find the Truth? 32:06 - Truth as Probability, Not Zero or One 33:33 - Logical Proof vs. Physical Replication 35:44 - Correlation vs. Causality 36:28 - Ground Truth From Replication Studies 38:12 - Codifying Claims to Surface Contradictions 40:14 - Can You Trust an LLM as a Judge? 42:48 - Synthetic Checks: Truth Is Sparse 45:40 - How Much Miner Variance Is Desirable 46:55 - Why Bittensor Instead of a Closed Company 49:50 - Success, Revenue & the Palantir Comparison 51:47 - The Flood of AI-Written Papers 54:36 - Advice for Discerning Truth