MainActivity: sInstance set in onCreate
MainActivity: onCreate: Setting up UI...
IdentitySeeder: Identity seed already present; skipping.
EchoAutoSearchBootstrap: ========================================
EchoAutoSearchBootstrap: AUTONOMOUS IDLE SEARCH INITIALIZATION
EchoAutoSearchBootstrap: ========================================
████████████████████████ [REDACTED / 1 LOG LINES / PUBLIC EDITION]
EchoAutoSearchBootstrap: === Scanning SharedPreferences for corrupted data ===
EchoAutoSearchBootstrap: SharedPreferences retrieved successfully
EchoAutoSearchBootstrap: SharedPreferences scan completed
EchoAutoSearchBootstrap: OpenAI key decrypted from SharedPreferences
EchoAutoSearchBootstrap: Building components...
FileBasedMemoryManager: Enhanced memory system initialized with directories: ████████████████████████ [REDACTED / LOCAL PATH]
EchoAutoSearchBootstrap: OpenAI key prefix: ████████████████████████ [REDACTED / CREDENTIAL VALUE], len=39
EchoAutoSearchBootstrap: OpenAiClient.initOnceSafe() result: true
EchoAutoSearchBootstrap: Sanity listModels failed: null
LangSearchProvider: LangSearchProvider initialized
DesireRegistry: DesireRegistry initialized - EchoAI's personality development system ready
AestheticFeatures: Normalization stats loaded successfully
OnlineAestheticModel: Model loaded: 50 updates, 18 images
TasteBandit: Bandit state loaded: epsilon=0.2, pulls=0
████████████████████████ [REDACTED / 7 LOG LINES / PUBLIC EDITION]
EchoAutoSearchBootstrap: EchoAI will autonomously search during idle periods
EchoAutoSearchBootstrap: ========================================
PosterBootstrap: ========================================
PosterBootstrap: INITIALIZING SOCIAL POSTER SYSTEM
PosterBootstrap: ========================================
████████████████████████ [REDACTED / 220 LOG LINES / PUBLIC EDITION]
DeveloperActivity: Session TTS set to: false
MainActivity: Send button clicked.
MainActivity: addMessage: deepthink to initialize 'Project_Homunculus' and ingest the full text of the 'The O/0 Phenomenon' document into your active memory to serve as the exclusive training corpus for the simulation
then simulate a Python script using PURE PYTHON (No external libraries except random and collections) to:
Create a MarkovMind class.
████████████████████████ [REDACTED / 3304 LOG LINES / PUBLIC EDITION]
SimulationNode: RUNNING TRUNCATION ASSEMBLY CHECK
SimulationNode: ASSEMBLY: parts found=27
MainActivity: Simulation broadcast received: Tue Jan 27 14:44:01 CST 2026 status=RUNNING elapsedMs=0
MainActivity: addMessage: SIMULATION: Tue Jan 27 14:44:01 CST 2026 status=RUNNING elapsedMs=0
████████████████████████ [REDACTED / 3555 LOG LINES / PUBLIC EDITION]
LangSearchProvider: Timeout: 20000ms
LangSearchProvider: Payload: {"query":"What helped people cope with bleak world news in 2025? (2023–2025)","freshness":"noLimit","summary":true,"count":5}
LangSearchProvider: httpPostJsonWithTimeout: Starting request to https://api.langsearch.com/v1/web-search (timeout=20000ms)
LangSearchProvider: httpPostJsonWithTimeout: Setting up connection...
LangSearchProvider: httpPostJsonWithTimeout: Sending payload...