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Update Part 10 indexes and nav links for new frontier sections
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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part-10-frontiers/module-34-emerging-architectures/index.html

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<li>
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<a href="section-34.5.html" class="section-card">
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<span class="section-num">34.5</span>
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<span class="section-title">A Theory of Reasoning in LLMs</span>
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<span class="section-desc">
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Chain-of-thought as emergent computation, formal frameworks for reasoning, process reward models, compositional reasoning limits, and connections to cognitive science.
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</span>
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</a>
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</li>
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<li>
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<a href="section-34.6.html" class="section-card">
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<span class="section-num">34.6</span>
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<span class="section-title">Memory as a Computational Primitive</span>
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<span class="section-desc">
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Memory architectures beyond context windows (MemGPT, Letta), working memory vs. long-term memory, memory consolidation, and external memory as a Turing-completeness enabler.
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</span>
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</a>
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</li>
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<li>
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<a href="section-34.7.html" class="section-card">
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<span class="section-num">34.7</span>
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<span class="section-title">Mechanistic Interpretability at Scale</span>
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<span class="section-desc">
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Sparse autoencoders for feature discovery, circuit analysis, superposition and polysemanticity, scaling interpretability to frontier models, and practical applications for debugging and safety.
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</span>
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</a>
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</li>
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<li>
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<a href="section-34.8.html" class="section-card">
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<span class="section-num">34.8</span>
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<span class="section-title">The Nature of Agency: When Does a Model Become an Agent?</span>
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<span class="section-desc">
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Definitional frameworks for agency, degrees of autonomy, philosophical and engineering implications, and safety considerations including instrumental convergence and mesa-optimization.
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</a>
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</li>
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<li>
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<a href="section-34.9.html" class="section-card">
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<span class="section-num">34.9</span>
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<span class="section-title">Efficient Multi-Tool Orchestration and Tool Economy</span>
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<span class="section-desc">
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Token-efficient tool calling patterns, tool routing and caching, parallel execution, economic models for tool use, and benchmarking tool efficiency.
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</span>
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</a>
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part-10-frontiers/module-34-emerging-architectures/section-34.4.html

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<h2>What Comes Next</h2>
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<p>
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This section explored how world models extend the prediction paradigm from text to physical reality.
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The next chapter, <a class="cross-ref" href="../module-35-ai-society/section-35.1.html">Chapter 35: AI and Society</a>,
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shifts from technical architecture to the broader societal context in which these systems are deployed,
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examining economic impact, governance, and the evolving relationship between humans and AI.
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In the next section, <a class="cross-ref" href="section-34.5.html">Section 34.5: A Theory of Reasoning in LLMs</a>,
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we examine formal frameworks for understanding when and why LLMs can reason, the role of chain-of-thought
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as a computational primitive, and the limits of compositional reasoning.
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</p>
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<nav class="chapter-nav">
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<a class="prev" href="section-34.3.html">Alternative Architectures Beyond Transformers</a>
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<a class="up" href="index.html">Chapter 34: Emerging Architectures &amp; Scaling Frontiers</a>
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<a class="next" href="../module-35-ai-society/index.html">Chapter 35: AI, Society &amp; Open Problems</a>
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<a class="next" href="section-34.5.html">A Theory of Reasoning in LLMs</a>
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part-10-frontiers/module-35-ai-society/section-35.4.html

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<h2>What Comes Next</h2>
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<p>
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This is the final section of the book. You now have a comprehensive map of the field, from
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foundational concepts in <a class="cross-ref" href="../../part-1-foundations/module-00-ml-pytorch-foundations/index.html">Part I</a>
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through production engineering and safety, all the way to the open problems that will define
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the next era of AI. The journey from here is yours. Pick a problem that matters to you, build
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on the techniques you have learned, and contribute to the field. The most important chapters of
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AI's story have not yet been written.
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</p>
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<p>In the next section, <a href="section-35.5.html" class="cross-ref">Section 35.5: Reliability Engineering for Agents Under Production Stress</a>, we turn to the engineering challenges of building agents that fail safely and recover gracefully under real-world conditions.</p>
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<nav class="chapter-nav">
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<a class="prev" href="section-35.3.html">Societal Impact and the Road Ahead</a>
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<a class="up" href="index.html">Chapter 35: AI, Society &amp; Open Problems</a>
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<a class="next" href="../../appendices/appendix-a-mathematical-foundations/index.html">Mathematical Foundations for LLMs</a>
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<a class="next" href="section-35.5.html">Reliability Engineering for Agents Under Production Stress</a>
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