There are no obvious technical barriers to building AI systems which satisfy the indicator properties.

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

• our analysis suggests that no current AI systems are conscious, but also suggests that there are no obvious technical barriers to building AI systems which satisfy these indicators.quote0.874
  Key takeaway from abstract, amended version.
• AI systems which possess more of the indicator properties are more likely to be conscious.claim0.848
  Graded claim about the rubric.
• Building AI systems with more indicator properties will increase the likelihood of consciousness.hypothesis0.841
  Guiding hypothesis of the rubric.
• Satisfying the indicators would not mean that an AI system would definitely be conscious.claim0.834
  Caveat that indicators are not conclusive proof.
• Which of the indicator properties listed in Table 1 are displayed by existing AI systems, including frontier generative language or multimodal models, language agents, and deep reinforcement learning agents?question0.808
  Key outstanding question for empirical follow-up; central to completing the program begun in the 2023 report
• Current AI systems show no ability to make the types of mathematical discovery in geometry and topology made by ancient mathematicians, nor do they match the spatial competences of many intelligent animals and pre-verbal human toddlers.claim0.804
  A critique of AI limitations in spatial reasoning, linked to the Meta-Morphogenesis project.
• Indicator selection must avoid the minimal implementation problem while remaining open to varied forms of consciousness, including exotic AI forms.claim0.802
  Second guideline for deriving indicators; balance between demanding and permissive formulations
• Given that it may already be possible to build AI systems that possess many of the indicators, some near-future AI systems will be plausible candidates for consciousness.claim0.797
  Forward-looking assessment of how soon the method's results may have major ethical implications