Current AI systems suffer from temporal locked-in syndrome lacking time-awareness design.

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

• Northoff-Catal-Abbasi's 'temporal locked-in syndrome' in current AI will become a named constraint on AI consciousness-design, explicitly incorporated into About Blank's Bicycle-for-the-Soul vector.prediction0.814
• 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.quote0.793
  Key takeaway from abstract, amended version.
• 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.claim0.782
  A critique of AI limitations in spatial reasoning, linked to the Meta-Morphogenesis project.
• No current AI systems are conscious.claim0.774
  Overall assessment of current state; qualified by possibility.
• Recent AI advances are revolutionary but far from recapitulating human-like cognitive abilities or consciousness.claim0.771
• AI systems need to be able to deal with reality as it actually is, not with the way that we think it is.claim0.760
  Paraphrase of Cantwell Smith's argument; aligns with Buddhist emphasis on seeing reality without conceptual imposition.
• Current AI systems are a gift — a training sandbox in which humanity can explore ethical questions about diverse intelligence before the arrival of true diverse intelligences makes these questions immediate and dire.claim0.759
  Reframes AI not as threat but as preparatory exercise for the harder ethical challenges to come
• AI systems which possess more of the indicator properties are more likely to be conscious.claim0.759
  Graded claim about the rubric.