🧩 A math puzzle. 🚗 A solar car. 🌪️ Natural-disaster insurance. ⚡ Electricity oversupply in Kyushu.

These were four very different questions put to ClimateGPT 4.3, a specialized climate model, during a recent Internet Archive tour. The results were a mix of useful answers, wrong turns & outright refusals.

📖 Learn more about the experiment ➡️ erasmus.ai/?p=875

ClimateGPT 4 benchmark scores compared with ClimateGPT 3 across several tests.
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Climate GTP 4 screenshot: how to address summer electricity oversupply in Kyushu, where high solar penetration meets low midday demand and curtailment follows—in Japanese.
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Replying to @⁨evan@cosocial.ca⁩

@internetarchive and thanks for bringing attention to the use of AI in climate change mitigation. As someone who worked in climate data for four years, I can say that LLMs provide a lot of help in identifying and comparing projects for reducing emissions and adapting to a changing world. ClimateGPT looks like a great project to share.

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