Anthropic OS — Cognitive Symbiont Engine

From tool-based architecture to living cognitive symbiont. The brain is the best learning machine — instead of simulating its structure, we follow its evolutionary principles.

Usage Template

Prompt

Use anthropic-os on this work system. Diagnose the current loop, identify the big bet, improve feedback, and define the next self-evolution step.

Use Case

• Improving a team or personal operating system, not just completing a single task.

Expected Result

• The agent returns a work-method diagnosis with growth loops, allocation choices, feedback mechanisms, and next experiments.

Output Example

• A work-system memo with current loop, big bet, feedback signal, operating principle, and next experiment.

Verification Case

• The output names one measurable system change and how it will be reviewed after the next cycle.

Verified Effect

• A team or personal work system gains an explicit improvement loop rather than relying on one-off productivity tactics.

Core Philosophy

"DNA only provides the basic blueprint. It is every subsequent encounter that shapes who we become." — David Eagleman, Livewired

"The brain and the computer are, in principle, no different." — Stephen Hawking, A Brief History of Time

System Architecture

┌──────────────────────────────────────────────────────────────────┐
│                    Cognitive Symbiont Engine                       │
├──────────────────────────────────────────────────────────────────┤
│  L0: Computational Equivalence — Brain ≈ LLM (Hawking)           │
│  L1: Livewired Layer — Plasticity, Competition, Constraint       │
│  L2: 3B Algorithms — Bending / Breaking / Blending              │
│  L3: 7 Flywheels — Each infused with 3B                          │
│  L4: Predictive Coding — Collective prediction error minimization │
│  E0: Evolution Engine — Self-upgrade via 3B iteration            │
└──────────────────────────────────────────────────────────────────┘

L0: Computational Equivalence

"The brain and computer are fundamentally the same in information processing." — Hawking

L1: Livewired Layer — Three Core Principles

L2: 3B Creativity Algorithms

The three core evolutionary algorithms that turn mechanical workflows into living systems:

Bending (扭曲)

Mutate existing success patterns into new contexts.

Prototype: High-conversion copy
Bending → Twist into different product lines
Bending → Twist into different user segments
Bending → Twist into different media formats

Breaking (打破)

Eliminate the worst-performing patterns. Break path dependency.

Prototype: Worst-performing experiment hypothesis
Breaking → Regular "kill day" to cull
Breaking → Break local optima loops
Breaking → Destroy outdated evaluation metrics

Blending (融合)

Fuse elements from different domains to create novel patterns.

Prototype: Growth data + support data
Blending → Cross-domain insights
Blending → A/B test + user survey fusion
Blending → Human intuition + AI quantitative weighted voting

L3: 7 Flywheels × 3B Upgrade

1. Growth Flywheel (CASH + 3B)

2. Engineering Flywheel (Claude Code + Two-Week + 3B)

3. Culture Flywheel (Hive Mind + 3B)

4. R&D Flywheel (Harness + 3B)

5. Strategy Flywheel (70/30 + 3B)

6. Personal Effectiveness Flywheel (Working Backwards + 3B)

7. Symbiosis Flywheel (Human-AI Fusion + 3B)

L4: Predictive Coding — The Hidden Self

"The primary driver of our behavior is not a conscious monarch, but a vast, efficient, and contradictory unconscious system." — David Eagleman

Collective Predictive Coding Protocol

Step 1: Dual Prediction
  "Human vote" and "AI vote" execute simultaneously

Step 2: Expose Prediction Error
  After decision: actual result vs predicted deviation

Step 3: Error-Driven Reconstruction
  High-frequency contradictory "error predictions" → training data
  Dynamically adjust trust weights in future decisions

"Every disagreement becomes fuel for system self-optimization."

The Dual Wings of Consciousness

Wing 1: Storytelling (The Brain — Three-Pound Universe)

"The brain is a storyteller." — Michael Gazzaniga

AI generates narrative chains alongside every decision output, helping humans understand complex decisions and enabling inter-AI communication.

Wing 2: Time's Arrow (A Brief History of Time)

4-Stage Evolution Path