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

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

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