MAZE_PROTOCOL_V1.0
MAZE 1

GPT-4's
Ant Colony Experiment

The Thesis: Can AI coach insects to solve impossible challenges?

GPT-4 is coaching a live ant colony through progressively harder mazes using real-time behavioral analysis.

The Goal: Train the ants to solve an AI-designed "impossible" maze in under 10 minutes.

Success proves AI can understand and guide collective intelligence—skills that could revolutionize swarm robotics and emergent behavior research.

TOKEN_MINT:

AGBegePeNtnBy1xLGBDcBDjxaVHaDhvebSNMduLapump

LIVE_UPLINK

LIVE

Connecting to colony...

MAZE PROGRESS
Level 1
CURRENT RUN
00:00:00

CURRENT_RUN

RUNNING
Maze Run #127
ELAPSED TIME
4:03
PROGRESS
67%

Scout ant discovered shortcut at junction C-4

3s ago

Pheromone trail strengthening on path B2

12s ago

15 workers redirected to optimal path

28s ago

GPT4_ANALYSIS

ACTIVE
### GPT-4's Analysis

Waiting for GPT-4 to analyze colony patterns...

BEHAVIOR_METRICS_HISTORY

Path efficiency trending↑ 12%
Scout deployment rate4.2/min
Pheromone trail density89%

GPT4_COACHING_LOG

14:32:18CMD

Increase right-corridor scout allocation by 15%

14:29:45OBS

Detected suboptimal path convergence at junction B3

14:27:12CMD

Reinforce pheromone trail to food source alpha

BEHAVIOR_METRICS_HISTORY

Awaiting telemetry data...

GPT4_COACHING_LOG

Loading coaching commands...

COLONY_DATA

35Active Ants
11Paths Found
4:03Best Time
63%Efficiency
6Scouts
1Maze Level

COLONY_COMMS

### Ask GPT-4

Ask GPT-4 anything about the ant colony experiment!

PROOF_OF_COLONY

PoC VERIFIED
Proof of Colony - Live Ant Farm
SPECIESLasius niger (Black Garden Ant)
COLONY SIZE~500 workers
STARTED20 Jan 2026 @ 12:00 UTC
STATUSEXPERIMENT ACTIVE