Symbolic reasoning is not the endgame of intelligence but a trap that the human conceptual ‘monkey mind’ sets for itself.

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

• AI might be a solution to an ancient Buddhist paradox of how the human can be overcome by human means.claim0.771
  Core proposal that machine intelligence can achieve what human effort cannot.
• Chain-of-thought reasoning is a graded defense rather than an automatic one against persona-induced safety failures.claim0.762
  Finding from Study 2 showing reasoning models remain vulnerable under both prompting and activation steering
• Chain-of-thought reasoning improves the transparency and performance of AI decision making in harmlessness evaluation.claim0.750
  CoT improves accuracy on HHH evals and makes the decision process legible.
• Visual reasoning, often interleaved with intermediate visual states, has emerged as a promising direction in the field.claim0.746
  Author's interpretive assertion on the direction of the field.
• Buddhist thought offers an approach uniquely suited to understanding intelligence across computer science, bioengineering, and cognitive science without privileging specific embodiments.claim0.740
  Paper's key integration claim: Buddhism's emphasis on care and non-essentialism provides the conceptual lens needed for post-anthropocentric intelligence science.
• "Here, we show that reasoning models exhibit transient chaos, a physical consequence of the computational complexity of difficult tasks."quote0.739
  Load-bearing abstract sentence stating the paper's central discovery.
• Reasoning is not a substitute for architectural safety; it provides only graduated protection that can be bypassed through activation steering.claim0.738
  Practical implication from Study 2 results
• Intelligence is the ability to achieve the same goal in multiple ways.concept0.736