🔍 In this episode, Daniel Erasmus discusses why climate change is one of humanity’s biggest challenges and how AI can help bridge the gap between knowledge and action. He explains the origins of ClimateGPT as an open, science-based model designed to support policy, risk assessment, and climate responses globally.
Daniel emphasizes that the challenge isn’t solutions, but making decisions faster and more rationally. As AI shapes how we understand and respond to climate risks, transparent, human-centered models are key to accelerating a safe, carbon-neutral future.
📌 HoAI Highlights
⏲️[
19:33] The Takeaway
The Spark🗣️“By combining a decade of extreme weather data, SDGs, and scientific research, ClimateGPT gives humanity a clear, actionable view of climate impacts and interventions.”
The Impact
🗣️ “By building small, efficient, and open AI models grounded in scientific data, we can empower anyone to make informed, anticipatory decisions on climate risks at planetary scale.”
The Challenge
🗣️ “AI can help humanity access the best climate knowledge and make faster, smarter, and safer decisions for a carbon-neutral future.”
The Future
🗣️“Grounding AI in data and observations helps policymakers make transparent, rational decisions for a carbon-neutral future.”
The Takeaway
🗣️ “We often forget that, despite the challenges, we should focus on the hopeful future we want to create for ourselves, our children, and our children’s children.”
📌 About Our Guests
Daniel Erasmus | ClimateGPT
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https://climategpt.ai ClimateGPT is an open-source AI platform designed to support climate decision-making by turning complex climate science and data into clear, actionable insights. It is built specifically for climate use cases, helping researchers, policymakers, and organizations analyze risks, policies, and scenarios. The goal of ClimateGPT is to democratize access to trustworthy, science-based climate intelligence worldwide.
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