concept
active
concept:simulation-objectiveSimulation objective
The objective of minimizing predictive error on a self-supervised distribution, leading to Bayes-optimal conditional inference.
Neighborhood — ranked by edge-count
Claims (2)
claim
- Deontological nature of predictive loss.
- Definition of simulation objective.
Concepts (2)
concept
- Bayes-optimal conditional inferenceimplementsThe ideal limit of self-supervised learning as modeling the true conditional distribution.
- Proper scoring ruleassociated_withA scoring rule optimized by predicting true probabilities; log-loss is one.
Artifacts (1)
artifact
- Simulators (LessWrong post)introducesThe paper being extracted.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- The underlying LLM with autoregressive sampling; a passive entity capable of generating an infinity of simulacra but lacking its own beliefs or goals
- Equivalence of optimal predictor to the physics of the data.
- Framework for optimizing multiple objectives simultaneously, used in MTL.
- Simulating biological computation on digital hardware is fundamentally different from instantiating it; SpiNNaker example shows digital neuromorphic systems miss consciousness-relevant properties.
- A method of using existing, similar streets or places to simulate and judge the dimensions and qualities of a proposed space by standing there, using markers, and walking through.
- The ontological separation between the generative rule (simulator) and the instances it produces (simulacra).
- Prediction orthogonality thesis.