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THE SIMULATION HAS CRACKS. WE EXPLOIT THEM.
Cross-platform security research toolkit • Desktop/Mobile/Web/Hardware • AI Race Condition Research
The Baudrillard Suite is a comprehensive cross-platform toolkit for security research, anomaly detection, and simulation theory investigation. Named after philosopher Jean Baudrillard, who argued that reality has been replaced by symbols and signs, our tools explore the boundaries between the real and the simulated.
This is not a collection of scripts. This is an ecosystem.
▲ BAUDRILLARD CORE ▲
│
┌──────────────────────────┼──────────────────────────┐
│ │ │
◈ DESKTOP ◈ MOBILE ◈ CLOUD
Tauri + Rust React Native Kubernetes
├─ simulacra ├─ spectral-mobile ├─ baudrillard-api
├─ hyperreal ├─ glitch-scanner ├─ distributed-analysis
├─ fatal ├─ vital-illusion └─ threat-precession
└─ transparency └─ cool-memories
│ │ │
└──────────────────────────┼──────────────────────────┘
│
◈ HARDWARE LAYER
├─ thermal-interface
├─ sdr-integration
├─ emf-sensors
└─ quantum-rng
| Tool | Function | Platforms |
|---|---|---|
| simulacra | Ontological process authentication — detecting copies without originals | Desktop, Server |
| hyperreal | Memory forensics beyond reality — temporal analysis & palimpsest recovery | Desktop, Server |
| fatal | Object-oriented exploitation — systems destroy themselves | Desktop, API |
| seduction | Social engineering through reversibility | Desktop, Mobile |
| desert | Secure deletion with mathematical proof of destruction | All |
| transparency | OSINT aggregation exploiting total visibility | Desktop, Web |
| perfect-crime | Steganography that makes detection seem absurd | Desktop, Mobile |
| precession | Predictive threat modeling — the map precedes the territory | Cloud, API |
| Tool | Function | Platforms |
|---|---|---|
| spectral | Multi-dimensional anomaly detection — EMF, acoustic, network phantoms | Desktop, Mobile, Hardware |
| glitch | Reality inconsistency scanner — entropy, temporal, synchronicity | Desktop, Mobile |
| vital-illusion | Deepfake & synthetic media detection | Desktop, Mobile, API |
| cool-memories | Immutable forensic journaling with blockchain anchors | All |
| Tool | Function | Platforms |
|---|---|---|
| ambient | Race condition exploitation in ambient AI systems | Desktop, Hardware |
| oracle-break | LLM manipulation through temporal injection | Desktop, API |
| consciousness-probe | Testing for emergent behaviors in neural networks | Cloud, API |
| simulacra-ai | Detecting AI systems pretending to be human | Desktop, Mobile |
| Module | Hardware | Function |
|---|---|---|
| thermal-eye | FLIR / Thermal cameras | Anomaly detection through heat signatures |
| spectrum-ghost | HackRF / RTL-SDR | RF anomaly detection & signal archaeology |
| emf-sense | Custom EMF sensors | Electromagnetic presence detection |
| entropy-source | Quantum RNG | True randomness for cryptographic operations |
Built with Tauri (Rust backend, web frontend) for native performance with modern aesthetics.
◈ SIMULACRA v2.0
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ONTOLOGICAL SCAN ACTIVE
▸ PID 1847 › nginx
Authenticity ████████░░ 78%
Order: 2nd • Genealogy: VALID • Drift: LOW
▸ PID 3392 › sshd ⚠️ ALERT
Authenticity ███░░░░░░░ 31%
Order: 3rd (SIMULACRUM) • Genealogy: PARADOX
Parent PID never existed • Temporal violation detected
▸ PID 4201 › systemd
Authenticity ██████████ 100%
Order: 1st • Genealogy: GENESIS • Drift: NONE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PROCESSES: 247 • AUTHENTIC: 244 • SIMULACRA: 3
REALITY INTEGRITY: 98.8%
◈ SPECTRAL v2.0 › LIMINAL ANALYSIS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CHANNELS OPEN
▸ EMF SPECTRUM
Scanning 1MHz—6GHz ░░░░░░░░░░░░░░░░░░░░ 433.8MHz
⚡ Phantom carrier detected • No registered source
Strangeness ████████░░ 82%
▸ ACOUSTIC LAYER
Infrasonic 18.9Hz continuous
Duration: 47min • Below perception threshold
⚠️ Associated with optical hallucination frequency
▸ NETWORK PHANTOMS
10.0.0.47 responding • NO HOST EXISTS
Timestamp: 3 minutes IN THE FUTURE
Strangeness ██████████ 97%
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ANOMALIES: 7 • HIGH STRANGENESS: 3 • LIMINAL INDEX: ELEVATED
Real-time anomaly detection using device sensors:
- Magnetometer for EMF fluctuations
- Microphone for infrasonic/ultrasonic analysis
- Camera for visual anomaly detection
- Accelerometer for vibration patterns
- Network for traffic anomalies
Portable reality inconsistency detection:
- GPS anomaly tracking
- Time synchronization monitoring
- Sensor consistency verification
- Synchronicity event logging
Modern AI systems (Siri, Alexa, Google Assistant, Copilot, etc.) have race conditions in their perception-to-action pipelines. ambient exploits these to reveal how "intelligent" systems actually process reality.
Research Areas:
▸ Temporal Injection Feeding conflicting information within the AI's processing window. The system cannot reconcile contradictory inputs, revealing underlying state machines.
▸ Context Poisoning Exploiting the gap between context loading and response generation. Race conditions in attention mechanisms.
▸ Emergent Behavior Triggers Finding inputs that cause non-deterministic outputs in supposedly deterministic systems.
▸ Simulation Boundary Testing Using AI inconsistencies as evidence of underlying reality constraints.
from baudrillard.ambient import TemporalInjector
# Create race condition in ambient AI perception
injector = TemporalInjector(target="ambient_ai_system")
# Inject contradictory stimuli within processing window
result = injector.race(
stimulus_a="The light is on",
stimulus_b="The light is off",
window_ms=50 # AI processing window
)
# Analyze inconsistent response
if result.contradiction_detected:
print(f"Reality inconsistency exposed: {result.analysis}")Integrates with FLIR and thermal imaging equipment for:
- Heat signature anomaly detection
- Invisible presence identification
- Equipment malfunction prediction
- Environmental mapping
from baudrillard.hardware import ThermalEye
thermal = ThermalEye(device="/dev/flir0")
# Real-time anomaly detection
async for frame in thermal.stream():
anomalies = thermal.detect_anomalies(frame)
for a in anomalies:
if a.strangeness > 0.7:
cool_memories.log(
f"Thermal anomaly: {a.location}",
attachment=frame,
severity="high"
)SDR integration for RF anomaly hunting:
from baudrillard.hardware import SpectrumGhost
sdr = SpectrumGhost(device="hackrf")
# Hunt for phantom carriers
phantoms = await sdr.sweep(
start_freq=1e6,
end_freq=6e9,
mode="anomaly"
)
for phantom in phantoms:
print(f"Unregistered signal: {phantom.frequency}Hz")
print(f"Strangeness: {phantom.strangeness}")Desktop Apps
- Tauri (Rust + WebView)
- React + TypeScript
- TailwindCSS
- SQLite (local storage)
Mobile Apps
- React Native
- Expo
- Native sensor APIs
Backend Services
- Rust (core libraries)
- Python (ML/analysis)
- Go (network services)
- PostgreSQL + TimescaleDB
Hardware
- libusb for device communication
- Custom drivers for thermal/SDR
- FPGA acceleration (planned)
ML/AI
- PyTorch for detection models
- ONNX for cross-platform inference
- Custom architectures for anomaly detection
Join the movement to map the boundaries of reality.
GitHub Discussions › Real-time collaboration, research discussion
GitHub Discussions › Long-form research, feature requests
Research Papers › Published findings, methodologies
Hardware Designs › Open-source sensor schematics
We need:
- Security researchers
- Hardware engineers
- ML/AI specialists
- Mobile developers
- Philosophers (seriously)
- Anyone questioning reality
# Clone and install from source
git clone https://github.com/bad-antics/baudrillard-suite
cd baudrillard-suite
pip install -e .
# Or install with hardware support (SDR, RFID, NFC)
pip install -e ".[hardware]"
# Or install with ML support (anomaly detection models)
pip install -e ".[ml]"
# Or install everything
pip install -e ".[full]"Each tool can also be used standalone:
# Use any tool directly
cd simulacra && python simulacra.py --help
cd hyperreal && python hyperreal.py --help
⚠️ The desktop app is under active development. Currently, all tools are available via Python CLI.
pip install fails with "baudrillard-core not found":
The suite installs from source, not PyPI. Use pip install -e . from the cloned repo root.
ModuleNotFoundError:
Make sure you installed with -e (editable mode) from the repo root directory.
Permission errors:
Use pip install --user -e . or a virtual environment:
python3 -m venv venv && source venv/bin/activate && pip install -e .from baudrillard import Simulacra, Spectral, Glitch
# Ontological process scan
sim = Simulacra()
results = sim.question_reality()
for process in results.simulacra:
print(f"⚠️ {process.name}: {process.authenticity}%")
# Spectral anomaly detection
spec = Spectral()
spec.enable_emf()
spec.enable_acoustic()
async for anomaly in spec.manifest():
print(f"Strangeness: {anomaly.strangeness}")
# Glitch detection
glitch = Glitch()
glitch.watch_entropy()
glitch.watch_temporal()
async for crack in glitch.observe():
print(f"Reality crack: {crack.description}")