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question:is-lamda-or-similar-large-language-models-sentientIs Lamda Or Similar Large Language Models Sentient
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.
- A current debate that exemplifies the lack of adequate criteria.
- Observation on the LaMDA debate highlighting the lack of agreed criteria.
- Transformer-based models like GPT-4, LaMDA, PaLM; assessed for GWT indicators.
- Large language models develop surprisingly coherent yet often rigid internal preferences as they scalefinding0.754Mazeika et al. finding reinforcing the need for emptiness-based flexible value architectures
- Forward-looking prediction about scalability of the method to larger models
- Opening sentence setting the stage for the importance of interpretability.
- Framing question that motivates the entire paper
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same_concept_as · Nomic cosineExternal markdown files that talk about the same concept as this entity.
- aboutblank_kbIs LaMDA or similar large language models sentient, and what criteria should be applied to make this determination?questions/is-lamda-or-similar-large-language-models-sentient.md0.867