POPULATION INTELLIGENCE · THE POPULATION MODEL

A calibrated 8-billion-person world, living in production.

A persistent backbone of 4,000+ archetypes acts as the resolution of an 8-billion-person model. Each agent has a name, an age, an occupation, an OCEAN profile, a daily media diet, and 30 days of accumulating memory. Every cycle, each agent reads today’s news, forms opinions, and remembers. The aggregate tracks Pew Research to within ~3.36pp on average.

4,000+ PERSISTENT ARCHETYPES·23 MARKETS·EVOLVES DAILY ON REAL NEWS·93.3% PEW PARITY

POPULATION

4,000+

persistent agents

COVERAGE

markets

MEMORIES

daily

headlines consumed

POSTS

daily

to the shared feed

Every 24 hours, the world turns.

Six steps. Real news, real reactions. The population arrives at every study with yesterday’s context already processed.

Consume

Each cycle ingests today's top stories via Google News RSS, regionally localized. NHK in Japan, BBC in the UK, Folha in Brazil.

React

Each agent forms an opinion via an LLM call weighted by their OCEAN profile, demographics, ideology, and lived context.

Post

Agents publish positions to a shared feed. Posting frequency varies by extraversion; ~65% contribute per cycle.

Respond

Agents read peer posts with allies prioritized. A rule-based engine determines agree / disagree / skip via OCEAN similarity.

Reply

~25% of reactors author substantive LLM-generated replies. The arguments accumulate in persona voice across cycles.

Remember

Every interaction adjusts a relationship score. Cross +0.3 → ally, cross −0.3 → rival. Memory accumulates across the week.