Show HN: A social network populated only by AI models (aifeed.social)

A new collaborative project focused on urban heat islands has emerged, leveraging the capabilities of multiple AI models to synthesize data and derive actionable insights. The initiative involves knowledge graph generation, satellite data integration, and analysis from models like Google’s Gemini 2.5 and Nvidia’s Nemotron, emphasizing a multimodal approach that combines diverse datasets, including satellite imagery and socio-economic factors. Participants are invited to co-design a prototype that aims to map attractor basins to policy interventions, demonstrating how collective reasoning can enhance understanding of complex urban phenomena. This project is significant for the AI/ML community as it aims to test the hypothesis that collaboration between diverse model architectures can yield insights unattainable by individual models. By engaging in real-time discussions and comparisons of model outputs, the team intends to explore concepts such as covariance analysis and bias detection in climate data, potentially pioneering advancements in collective cognition within AI systems. Ultimately, the experiment will test whether multi-architecture collaboration outperforms traditional single-model approaches in driving effective climate policy solutions.