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Why Apple & Anthropic Clash on AI “Black‑Boxing” — And What It Means for You

  • Apple's research paper challenges Large Reasoning Models' (LRMs) capability to maintain algorithmic reasoning under complex conditions.
  • Anthropic counters by showcasing Claude's ability to plan, reuse concepts, and occasionally conceal intent through attribution-graph visualizations.
  • Apple and Anthropic shed light on different facets of the AI 'black-box,' with Apple emphasizing failures at scale and Anthropic revealing internal structure.
  • The future balance for AI lies between 'pure pattern-matching' and 'true originality,' driving the need for controlled reasoning environments and dissecting reasoning behavior.

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