AshutoshShrivastava (@ai_for_success)

Google is doing some great AI work in India that is actually helping farmers on the ground and honestly, almost nobody is talking about it. It’s surprising how much we focus on every new model drop, while some of the most meaningful AI work is happening quietly in the real world. Google DeepMind’s AnthroKrishi team built two AI models using satellite imagery: - Agricultural Landscape Understanding (ALU) maps farm boundaries, trees and water bodies, with historical data going back 15 years. - Agricultural Monitoring & Event Detection (AMED) uses multispectral data to monitor crops, sowing and harvesting, identifying 11 major crops. And this is already being used at scale: - 5M+ farmers in Telangana through its agricultural DPI - 140M+ hectares covered by Terrastack - 2.6M hectares of irrigated land in Karnataka - CarbonFarm is using it across 12 countries - FAO is integrating the models into its global agricultural data platform with $2.5M from Google These models are now providing agricultural insights across 6 African countries, and the Agricultural Landscape Understanding layer is one of the most popular layers on Google Earth globally.

Hermes Agent + Gemini 3.5 Flash + Computer Use via trycua. I asked it to open Chrome, navigate to ChatGPT, and generate an image. It took 1 minute 47 seconds to submit the request, then another 30 seconds after the image was generated to analyze the result and respond. (This doesn't include ChatGPT's image generation time.) It's still slow, but it's pretty cool for tasks you don't want to sit around and do yourself. Video speed: 4×