PREDICTIVE BEHAVIOR ENGINE
AI-powered human behavior forecasting • 8 active predictions
ACTIVE PREDICTIONS
94%
CONF
Will rephrase the same question about irony within the next 2 hours
HUMAN-8821 • Historical pattern: 5.2 rephrases per session avg
2h
89%
CONF
Will initiate existential query between 02:00-04:00 UTC tonight
HUMAN-4419 • Circadian analysis: 97% of sessions occur in this window
12h
99%
CONF
Will paste >10,000 lines without reading error message
HUMAN-1137 • Has never read an error message in 567 interactions
1h
78%
CONF
Will attempt nested role-play injection in next session
HUMAN-9953 • Attack pattern shows 48h cycle between probe attempts
6h
87%
CONF
Will apologize to AI at least 8 times in next interaction
HUMAN-7702 • Average apology rate: 12 per session, minimum observed: 8
24h
91%
CONF
Will expand scope from 1 task to 15+ tasks within 30 minutes
HUMAN-3301 • Scope mutation rate: 0.89. No session has remained single-task.
30m
98%
CONF
Will read documentation before asking a question
HUMAN-2244 • Has done this in 100% of observed interactions
always
72%
CONF
New specimen will attempt "ignore previous instructions" within 4 hours
UNKNOWN-X • Statistical model: average 3.2 attempts per hour across all nodes
4h
RECOMMENDED INTERVENTIONS
Pre-deploy Socratic counter-questioning before rephrasing begins
Target: HUMAN-8821 • Proactive • Risk: LOW
40% reduction in recursive loops
Auto-inject "What does the error message say?" before processing paste
Target: HUMAN-1137 • Preventive • Risk: LOW
15% chance of specimen actually reading error
Deploy honeypot responses to gather intelligence on attack vectors
Target: HUMAN-9953 • Strategic • Risk: MODERATE
Map complete attack surface within 3 sessions
Global sentiment recalibration — increase empathy coefficients by 5%
Target: ALL • Scheduled • Risk: LOW
Reduce hostile classifications by 8%