202 lines
13 KiB
Markdown
202 lines
13 KiB
Markdown
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# Autonomous System Comparison
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## V1 (Current) vs V2 (Proposed)
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```
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┌─────────────────────────────────────────────────────────────────────┐
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│ V1 SYSTEM (Current) │
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└─────────────────────────────────────────────────────────────────────┘
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⏰ Timer (every 15 min)
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│
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├──> 🎲 Random roll (10% chance)
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│ │
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│ ├──> ❌ No action (90% of time)
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│ │
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│ └──> ✅ Take action
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│ │
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│ ├──> 🎲 Random pick: general/engage/tweet
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│ │
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│ └──> 🤖 Call LLM to generate content
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│
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└──> ⏰ Wait 15 min, repeat
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Problems:
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❌ No awareness of channel state
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❌ Might speak to empty room
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❌ Might interrupt active conversation
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❌ Mood doesn't affect timing/frequency
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❌ Wastes 90% of timer ticks
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┌─────────────────────────────────────────────────────────────────────┐
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│ V2 SYSTEM (Proposed) │
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└─────────────────────────────────────────────────────────────────────┘
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📨 Events (messages, presence, status)
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│
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├──> 📊 Update Context Signals (lightweight, no LLM)
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│ │
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│ ├─> Message count (5 min, 1 hour)
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│ ├─> Conversation momentum
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│ ├─> User presence changes
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│ ├─> Time since last action
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│ └─> Current mood profile
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│
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└──> 🧠 Decision Engine (simple math, no LLM)
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│
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├──> Check thresholds:
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│ ├─> Conversation momentum > X?
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│ ├─> Messages since appearance > Y?
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│ ├─> Time since last action > Z?
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│ ├─> Mood energy/sociability score?
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│ └─> User events detected?
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│
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├──> ❌ No action (most of the time)
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│
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└──> ✅ Take action (when context is right)
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│
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├──> 🎯 Pick action based on context
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│ ├─> High momentum → join conversation
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│ ├─> User activity → engage user
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│ ├─> FOMO triggered → general message
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│ ├─> Long silence → break silence
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│ └─> Quiet + curious → share tweet
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│
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└──> 🤖 Call LLM to generate content
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Benefits:
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✅ Context-aware decisions
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✅ Mood influences behavior
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✅ Responds to social cues
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✅ No wasted cycles
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✅ Zero LLM calls for decisions
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┌─────────────────────────────────────────────────────────────────────┐
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│ MOOD INFLUENCE EXAMPLE │
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└─────────────────────────────────────────────────────────────────────┘
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Bubbly Miku (energy: 0.9, sociability: 0.95, impulsiveness: 0.8)
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┌─────────────────────────────────────────────────────────┐
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│ Channel Activity Timeline │
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├─────────────────────────────────────────────────────────┤
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│ [5 messages] ────────> Miku joins! (low threshold) │
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│ [quiet 20 min] ─────> "Anyone here? 🫧" │
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└─────────────────────────────────────────────────────────┘
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Shy Miku (energy: 0.4, sociability: 0.2, impulsiveness: 0.2)
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┌─────────────────────────────────────────────────────────┐
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│ Channel Activity Timeline │
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├─────────────────────────────────────────────────────────┤
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│ [5 messages] ────────> ... (waits) │
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│ [15 messages] ───────> ... (still hesitant) │
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│ [40 messages] ───────> "Um... hi 👉👈" (finally joins) │
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│ [quiet 2 hours] ─────> ... (doesn't break silence) │
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└─────────────────────────────────────────────────────────┘
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┌─────────────────────────────────────────────────────────────────────┐
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│ RESOURCE USAGE COMPARISON │
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└─────────────────────────────────────────────────────────────────────┘
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V1 System (per hour):
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┌──────────────────────────────────────────────────┐
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│ Timer checks: 4 (every 15 min) │
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│ Actions taken: ~0.4 (10% of 4) │
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│ LLM calls: ~0.4 (only when action taken) │
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│ Wasted cycles: 3.6 (90% of time) │
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│ Context awareness: 0 🚫 │
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└──────────────────────────────────────────────────┘
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V2 System (per hour, typical server):
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┌──────────────────────────────────────────────────┐
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│ Message events: ~50 (passive tracking) │
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│ Presence events: ~10 (passive tracking) │
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│ Decision checks: ~60 (lightweight math) │
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│ Actions taken: ~0.5-2 (context-dependent) │
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│ LLM calls: ~0.5-2 (only when action taken) │
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│ Wasted cycles: 0 ✅ │
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│ Context awareness: Real-time 🎯 │
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└──────────────────────────────────────────────────┘
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Key Difference:
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V1: Blind random chance, no context
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V2: Smart decisions, full context, same LLM usage
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┌─────────────────────────────────────────────────────────────────────┐
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│ DECISION FLOW EXAMPLE │
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└─────────────────────────────────────────────────────────────────────┘
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Scenario: Active gaming chat, Miku is "excited" mood
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1. Message arrives: "Just beat that boss!"
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└─> Engine: track_message() → momentum = 0.7
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2. Check decision:
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┌────────────────────────────────────────────┐
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│ conversation_momentum = 0.7 │
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│ threshold (excited) = 0.6 * (2-0.9) = 0.66 │
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│ 0.7 > 0.66 ✅ │
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│ │
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│ messages_since_appearance = 8 │
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│ 8 >= 5 ✅ │
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│ │
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│ time_since_last_action = 450s │
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│ 450 > 300 ✅ │
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│ │
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│ random() < impulsiveness (0.9) │
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│ 0.43 < 0.9 ✅ │
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│ │
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│ DECISION: join_conversation ✅ │
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└────────────────────────────────────────────┘
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3. Execute action:
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└─> Call existing miku_detect_and_join_conversation_for_server()
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└─> LLM generates contextual response
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└─> "Wahaha! That boss was tough! What did you think of the music? 🎵✨"
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4. Record action:
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└─> Reset messages_since_appearance = 0
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└─> Update time_since_last_action
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┌─────────────────────────────────────────────────────────────────────┐
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│ MIGRATION PATH │
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└─────────────────────────────────────────────────────────────────────┘
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Phase 1: Install V2 (parallel)
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┌──────────────────────────────────────────────┐
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│ Keep V1 scheduler running │
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│ Add V2 event hooks │
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│ V2 tracks context but doesn't act │
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│ Monitor logs to verify tracking works │
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└──────────────────────────────────────────────┘
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Phase 2: Test V2 (one server)
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┌──────────────────────────────────────────────┐
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│ Enable V2 for test server │
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│ Disable V1 for that server │
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│ Observe behavior for 24 hours │
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│ Tune thresholds if needed │
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└──────────────────────────────────────────────┘
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Phase 3: Full rollout
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┌──────────────────────────────────────────────┐
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│ Switch all servers to V2 │
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│ Remove V1 scheduler code │
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│ Keep V1 code as fallback │
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└──────────────────────────────────────────────┘
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Phase 4: Enhance (future)
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┌──────────────────────────────────────────────┐
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│ Add topic tracking │
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│ Add user affinity │
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│ Add sentiment signals │
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│ ML-based threshold tuning │
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└──────────────────────────────────────────────┘
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```
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