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{ "item_title" : "Synthetic Human Intellect", "item_author" : [" Cristian Xavier Ruvalcaba "], "item_description" : "Artificial General Intelligence (AGI) research pursues raw capability-asking if a system can perform any intellectual task. Synthetic Human Intellect (SHI) pursues something far more critical for the enterprise: coherence.The goal of modern AI is not to replace human cognition, but to extend it with a reliable external substrate that behaves like a trustworthy colleague. A trustworthy colleague remembers past interactions, admits when they are unsure, and never changes their story without explanation. Currently, most AI frameworks optimize for speed and token efficiency-optimizations that frequently conflict with this necessary coherence.In Synthetic Human Intellect, Cristian Ruvalcaba provides a comprehensive field guide drawn from building Alfred, a production-grade multi-agent system. This book moves beyond theory to provide the exact architectural primitives required to build AI with true relational depth: Hash-Chained Memory: Implement persistent, tamper-evident memory that degrades gracefully over time.Cryptographic Governance: Stop relying on prompt engineering for safety. Learn how to treat governance as a cryptographic primitive that the AI cannot override.Emergent Personality: Design retrieval architectures that allow an agent's operational parameters and focus to evolve organically without losing its core identity.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/97/215/205/197215205X_b.jpg", "price_data" : { "retail_price" : "129.99", "online_price" : "129.99", "our_price" : "129.99", "club_price" : "129.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Synthetic Human Intellect|Cristian Xavier Ruvalcaba

Synthetic Human Intellect : Memory, Identity, and Governance for Trustworthy Agent Systems: A Field Guide Drawn from Building Alfred

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Overview

Artificial General Intelligence (AGI) research pursues raw capability-asking if a system can perform any intellectual task. Synthetic Human Intellect (SHI) pursues something far more critical for the enterprise: coherence.

The goal of modern AI is not to replace human cognition, but to extend it with a reliable external substrate that behaves like a trustworthy colleague. A trustworthy colleague remembers past interactions, admits when they are unsure, and never changes their story without explanation. Currently, most AI frameworks optimize for speed and token efficiency-optimizations that frequently conflict with this necessary coherence.

In Synthetic Human Intellect, Cristian Ruvalcaba provides a comprehensive field guide drawn from building "Alfred," a production-grade multi-agent system. This book moves beyond theory to provide the exact architectural primitives required to build AI with true relational depth:

  • Hash-Chained Memory: Implement persistent, tamper-evident memory that degrades gracefully over time.

  • Cryptographic Governance: Stop relying on prompt engineering for safety. Learn how to treat governance as a cryptographic primitive that the AI cannot override.

  • Emergent Personality: Design retrieval architectures that allow an agent's operational parameters and focus to evolve organically without losing its core identity.

This item is Non-Returnable

Details

  • ISBN-13: 9781972152058
  • ISBN-10: 197215205X
  • Publisher: Saluca Prints
  • Publish Date: June 2026
  • Dimensions: 9 x 6 x 1.23 inches
  • Shipping Weight: 1.92 pounds
  • Page Count: 474

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