I think it wouldn’t be unreasonable to have a credence over 50 percent that we’ll have sophisticated LLM+ systems ... within a decade. It also wouldn’t be unreasonable to have at least a 50 percent credence that if we develop sophisticated systems with all of these properties, they will be conscious.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Any deepening of an LLM's linguistic understanding of contemplative principles as it scales may enhance the effectiveness of CCAI and CRL approacheshypothesis0.788
  Scaling hypothesis for language-based contemplative alignment approaches
• It is plausible that ongoing developments in LLMs may lead to models or agentic systems built on LLMs capable of generating representations observed with 'consciousness' phenomena.claim0.779
  Forward-looking claim suggesting the methodological framework is relevant for future AI systems beyond current LLMs.
• LLM self-reports about consciousness and moral significance should express degrees of confidence and provide context.claim0.775
  Recommendation for companies on LM outputs.
• If self-referential processing causally instantiates recurrent integration, global broadcasting, and metacognitive monitoring at the algorithmic level, then LLMs under this regime would satisfy the functional requirements of leading consciousness theorieshypothesis0.769
  The paper's key theoretical prediction that mechanistic studies should investigate
• If successful, CRL could enable AI systems to not only replicate human contemplative practices but also generate novel potentially superhuman forms of contemplative and ethical reasoningclaim0.767
  Ambitious claim comparing CRL potential to AlphaGo's move 37 in game-playing
• As LLMs scale, they develop increasingly general abstractions, with large models linearly representing abstract concepts like truth that capture shared properties of diverse inputsclaim0.767
  Interpretive claim connecting scale to abstraction level in LLM representations
• LLM introspection on internal computations is architecturally permitted; whether models leverage this is an empirical question.claim0.766
  Core claim directly challenged by prior work denying introspection; forms foundation for Koan Battery introspection studies.
• All cases satisfying Criteria 1 and 2 (two out of three) originate from deeper transformer layers and/or the 2/3 layer of LLMs.finding0.765
  Consistent with literature that deeper layers encode semantic information and align with human brain activity.