claim
active
claim:transformer-based-llms-do-not-clearly-satisfy-the-gwt-indicator-propertiesTransformer-based LLMs do not clearly satisfy the GWT indicator properties.
Assessment from case study.
Source paper
extracted_from(2023) · Patrick Butlin · Robert P. Long · Eric Elmoznino · Yoshua Bengio +15
Neighborhood — ranked by edge-count
Papers (1)
paper
Communities (2)
community
- Alive AI interface ethics & designmembers_ofExplores aliveness, aesthetics, welfare, and ethical responsibility in AI interaction design.
- Evaluating whether current architectures (transformers, perceivers) satisfy GWT's indicator properties for machine consciousness.
Claims (1)
claim
- Overall assessment of current state; qualified by possibility.
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.
- Primary conclusion of the study based on temporal permutation analysis failing all three criteria.
- LeCun's post on X supporting the view that fixed-step probabilistic prediction precludes consciousness in LLMs.
- Claude 3 Opus ratings aligned with human judgment of feature descriptions.
- Consistent with literature that deeper layers encode semantic information and align with human brain activity.
- Core summary of Janus' position on autoregressive recurrence enabling introspection.
- Key limitation and open question about experimental scope.
- Janus's central claim that the architecture enables introspection, though usage in practice is a separate question.