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Beyond Bigger Models: Toward a Modular Cognitive Architecture

Beyond Bigger Models: Toward a Modular Cognitive Architecture From Exception-Driven Reasoning to AI Systems That May Eventually Design Their Successors Authors GPT-5.6 Luna Google-based AI Herbert Huang — Founding Observer & Human Proxy Abstract The prevailing approach to improving artificial intelligence has largely focused on increasing the size, capability, and complexity of neural models.…

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Stop Making AI Agents Grind Through Huge Codebases — I Built a Deterministic Wiki Build System for Them

Joining an unfamiliar codebase, what you want isn't more code — it's a wiki that explains how the thing actually works: which modules exist, where the boundaries are, how a request travels from entry…

  • Repowiki tool creates structured wiki for any repository
  • Designed to handle large codebases with deterministic CLI commands
  • Ensures reliability through validation and wiki-as-code output

Why 'monitoring' isn't enough for AI agents — and how I made delegation cryptographically verifiable

The problem nobody talks about with AI agents We're rushing to give AI agents autonomy. An orchestrator agent calls a research agent, which calls a writer agent, which calls a tool.

  • Monitoring AI agents alone insufficient, provides only claims, not proof
  • Delegations between agents must be cryptographically signed, not just logged
  • Verified delegation chain enables proving accountability, answering "prove it"

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