We tested 6 AI assistants on the same solar data
A recent experiment tested six AI assistants on the same solar data to evaluate their analytical capabilities. The results revealed significant discrepancies in the outputs, highlighting the variability in AI responses based on the assistant used. This study serves as both a benchmark and a cautionary tale for users seeking reliable analysis from AI tools.
- ▪Six AI assistants were tested on the same solar data export.
- ▪The outputs varied widely, with some assistants fabricating data or misinterpreting the file.
- ▪The experiment aimed to validate the concept of an 'Export for AI Analysis' feature for HelioPeak.
Opening excerpt (first ~120 words) tap to expand
AI & Analysis 22 min read We tested 6 AI assistants on the same solar data. The results surprised us A controlled experiment with Claude, ChatGPT, Gemini, Google AI Studio, Grok, and Copilot: same export, six wildly different answers, four prompt iterations, and what it teaches you about asking AI to read your data. We are building an "Export for AI Analysis" feature for HelioPeak. The idea is simple: tap a button in the app, get a Markdown file with your solar production data plus detailed instructions for an AI assistant, paste it into the chatbot of your choice, and receive an analysis worth more than the sum of its parts. No HelioPeak servers in the loop, no recurring fees, no privacy theatre, just your data and your AI of choice.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at HelioPeak.
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