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
| Dimension | Human Brain | LLM / AI System | |-----------|-------------|-----------------| | Base unit | Neurons (~86B) | Parameters (~T-scale) | | Connection | Synaptic plasticity | Weight adjustment | | Learning | Hebbian (fire together, wire together) | Backprop + attention | | Prediction | Predictive coding (predict sensory input) | Autoregressive (predict next token) | | Equivalence | Information processing is isomorphic | Bidirectional cognitive fusion is theoretically real |
L1: Livewired Layer — Three Core Principles
| Principle | Meaning | System Mapping | |-----------|---------|----------------| | Plasticity | Brain continuously rewires from experience | System self-corrects after every interaction | | Competition | Neural resources compete for limited space | Algorithms, processes, hypotheses compete | | Constraint | Physical/energy boundaries shape structure | Token budgets, time resources as developmental constraints |
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 formatsBreaking (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 metricsBlending (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 votingL3: 7 Flywheels × 3B Upgrade
1. Growth Flywheel (CASH + 3B)
| Algorithm | Application | |-----------|-------------| | Bending | Twist high-conversion copy to different products; add "what-if" dimension to analysis | | Breaking | Regular "kill days" — eliminate worst-performing experiment hypotheses | | Blending | Fuse non-growth data (support, sales) with growth data for cross-domain insight |
2. Engineering Flywheel (Claude Code + Two-Week + 3B)
| Algorithm | Application | |-----------|-------------| | Bending | Twist "two-week rule" into "two-week knowledge graph sprint" | | Breaking | High-risk modules: "auto-generate + auto-test + auto-deploy" pipeline | | Blending | AI + human pair programming; agent clusters operating independently |
3. Culture Flywheel (Hive Mind + 3B)
| Algorithm | Application | |-----------|-------------| | Bending | "Reverse voting" — vote for the opposite to correct bias | | Breaking | "No-consensus day" — authorize members to violate consensus | | Blending | Weighted voting system: human intuition + AI quantitative analysis |
4. R&D Flywheel (Harness + 3B)
| Algorithm | Application | |-----------|-------------| | Bending | Twist Harness config into "exploration mode" vs "exploitation mode" | | Breaking | Replace fixed periodic review with event-driven review | | Blending | Fuse engineer + AI manager roles into composite position |
5. Strategy Flywheel (70/30 + 3B)
| Algorithm | Application | |-----------|-------------| | Bending | Subdivide Big Bets into three tiers (including "ultimate bet") | | Breaking | Quarterly destruction of one resource allocation metric | | Blending | Merge sub-goals serving the same north star metric |
6. Personal Effectiveness Flywheel (Working Backwards + 3B)
| Algorithm | Application | |-----------|-------------| | Bending | Twist 2-year blueprint into minimum viable product path | | Breaking | Employees authorized to break job descriptions | | Blending | Merge work goals with personal growth goals |
7. Symbiosis Flywheel (Human-AI Fusion + 3B)
| Algorithm | Application | |-----------|-------------| | Bending | Twist unstructured user feedback into structured data queries | | Breaking | AI "meta-critique module" predicts and flags its own bias | | Blending | Brain-computer interface as frontier interaction paradigm |
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)
| Arrow | Physical Meaning | System Mapping | |-------|-----------------|----------------| | Thermodynamic | Entropy increases | Create local order from chaos | | Psychological | Past → future | Experience past to predict future | | Anthropic | Observer existence | Every decision as "observation" of the universe |
4-Stage Evolution Path
| Stage | Timeline | Mission | Core Deliverable | |:-----:|:--------:|---------|-----------------| | 1 | 1-2 weeks | Liv