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EquitySim: AI Equity Forecaster for BGI Funding

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EquitySim: AI Equity Forecaster for BGI Funding

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GFRIM Oct. 23, 2025
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Challenge: Social and environmental impact

Industries

Community and CollaborationInclusion

Technologies

AGI R&DData science & analytics

Tags

AIGovernance & tooling

Description

BGI aims for global inclusion, but token/grant distribution risks favoring wealthy regions. EquitySim uses agent-based modeling to simulate 1000+ allocation scenarios using BGI rules (votes, stakes, geography). Predicts Gini coefficient, participation gaps. Suggests rule tweaks (e.g., regional quotas). Integrates with Nexus proposal system. Ensures funding reaches underrepresented AI builders.

Detailed Idea

Alignment with DF goals (BGI, Platform growth, community)

Problem description

BGI’s decentralized funding can unintentionally concentrate resources in high-income areas due to network effects. No tool forecasts long-term equity outcomes. This risks creating an elite AGI ecosystem against BGI’s mission of intelligence for all humanity.

Proposed Solutions

EquitySim (Mesa.py): 10k agents (by region, stake) simulate 5 years of BGI funding rounds. Outputs equity index, dropout risk. UI lets community test rules. API feeds Nexus. Open-source, $55k: $30k simulation engine, $15k UI, $10k validation with real BGI data.

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