A combination of more pervasive and reliable provenance annotation (citations, signed raw observations/recordings, trust-weighted endorsement of provenance claims, …) and discourse mapping (connecting supporting and contradictory arguments and evidence, clustering claims semantically, navigation of the emergent graph) would move some way towards this. FLF is among organisations working toward boosting societal collective intelligence by developing these sorts of tech. Many strategy and design variables to resolve! And questions of distribution/demand. But the design space looks newly feasible[[1]] and ripe for exploration.
A combination of more pervasive and reliable provenance annotation (citations, signed raw observations/recordings, trust-weighted endorsement of provenance claims, …) and discourse mapping (connecting supporting and contradictory arguments and evidence, clustering claims semantically, navigation of the emergent graph) would move some way towards this. FLF is among organisations working toward boosting societal collective intelligence by developing these sorts of tech. Many strategy and design variables to resolve! And questions of distribution/demand. But the design space looks newly feasible [[1]] and ripe for exploration.
for example through massive cheap clerical labour from suitably scaffolded LM agents, and semantically-sensitive software (again via LMs).