As an appreciable fraction of a neural network is composed of shards, large neural nets can possess quite intelligent constituent shards. These shards can be sophisticated enough to be well-modeledmodelled as playing negotiation games with each other, (potentially) explaining human psychological phenomena like akrasia and value changes from moral reflection. Shard theory also suggests an approach to explaining the shape of human values, and scheme for RL alignment.
As an appreciable fraction of a neural network is composed of shards, large neural nets can possess quite intelligent constituent shards. These shards can be sophisticated enough to be well-
modelledmodeled as playing negotiation games with each other, (potentially) explaining human psychological phenomena like akrasia and value changes from moral reflection. Shard theory also suggests an approach to explaining the shape of human values, and scheme for RL alignment.