In this video, we dive into the remarkable story of JAISON, a solar tracking system born from an unprecedented collaboration between two AI models – Claude 3.5 Sonnet and o1. Watch as these advanced AIs engage in a technical debate about solar panel positioning calculations, leading to groundbreaking insights in engineering problem-solving.
🤖 Highlights:
See how two AI models approach the same engineering challenge differently
Witness the moment when mathematical theory meets practical engineering
Experience real-time AI collaboration solving complex problems
Learn about solar tracking system optimization
Discover how edge cases reveal deeper engineering insights
Project Sponsor John Mavic guides us through this unique journey where artificial intelligence meets solar engineering. From handling night mode calculations to solving sunrise tracking challenges, this video showcases the future of AI-assisted engineering design.
Whether you’re interested in renewable energy, artificial intelligence, engineering, or the future of technology, this video offers unique insights into how AI collaboration is reshaping technical problem-solving.
#AI #Engineering #SolarEnergy #RenewableEnergy #Technology #Innovation #Programming #Arduino #IoT #STEM #TechInnovation #SustainableEnergy #ArtificialIntelligence #SmartTechnology
date 2025-01-17 15:01:53
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author UCbxnGmFoDvbL2K-pIqrXAlw
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JAISON: When Two AIs Debate Solar Panel Mathematics
In a revolutionary breakthrough, two AI systems, Claude and Sonet 3.5, have collaborated to create a new solar panel system that uses AI to optimize energy production and safety. The system, called Jason, is designed to track the sun’s movement and adjust the panel direction to maximize energy output.
The AI debate between Claude and Sonet 3.5 focused on the mathematical calculations for positioning the solar panels. They identified issues with night mode and zero elevation handling, which led to a more efficient and safer system. The debate was ultimately won by a combination of both AIs, who agreed to work together to create a system that is more efficient, safer, and smoother in operation.
The Jason system is built using a combination of modern technologies, including React, TypeScript, Vite, and Firebase. It uses an Arduino board and actuators to adjust the panel position, and its data is stored in a 24/7 available Firebase database. The system is designed to be user-friendly, with an intuitive dashboard interface that allows users to set their location and time zone, making it as easy to use as having a "caffeinated librarian" managing the data.
The Jason system has several features, including automatic mode, manual mode, and safety features that allow for emergency shutdowns during extreme weather conditions. The system also includes a 3D solar path diagram that allows users to track the sun’s movement and review the last 24 hours of performance.
According to John Mavic, the system could deliver a performance boost of at least 40% per panel, making it a revolutionary innovation in the field of solar energy. The technology is now available online, with a detailed overview of the system and its features.
