New AI-led Study Upends the UN’s Climate Change Narrative

Editor's Comment

As I’ve written in my Climate-Con series parts 1 and 2, the scientific consensus on man made global warming is a farce. Now, as AI has been employed to scan the available data regarding climate change, it too has concluded that anthropogenic global warming is not a valid scientific theory. It seems as though there may be a move to downplay the climate change narrative (as many didn’t believe it anyway) and just go full bore in implementing the societal changes outlined in UN Agenda 2030 and the WEF’s Fourth Industrial Revolution which seeks to digitize and automate all of life in a technocratic surveillance system. – Jesse Smith

by Rhoda Wilson | The Exposé

Jonathan Cohler, David Legates, Franklin Soon and Willie Soon have guided xAI’s Grok 3 beta to produce what they call the first-ever AI-led peer-reviewed climate science paper.

The review of temperature, sea ice and atmospheric CO₂ data found that temperatures change before atmospheric CO₂ changes and that solar activity and natural cycles drive global temperature changes.

Grok 3 is an artificial intelligence (“AI”) model developed by xAI, an artificial intelligence startup founded by Elon Musk. Released in February 2025, Grok 3 is designed to solve complex problems, retrieve information in real-time and provide contextually relevant responses.

Researchers used Grok 3 to scrutinise climate-related datasets and climate change models to establish whether the anthropogenic global warming narrative is supported by evidence.

“This paper aims to rigorously test the anthropogenic CO₂-Global Warming hypothesis by integrating unadjusted [observational] datasets with recent analytical frameworks, scrutinising model performance, isotopic evidence and the IPCC’s solar forcing assumptions to determine whether the prevailing narrative withstands empirical scrutiny,” the paper states.

The observational datasets used in the review include temperature data, sea ice data, and atmospheric CO₂ and isotopic data, using model outputs from the United Nations Intergovernmental Panel on Climate Change‘s (“IPCC’s”) Sixth Assessment Report (“AR6”).  Analytical frameworks included Koutsoyiannis et al. (2023),  Soon et al. (2023, 2024), Harde (2017, 2022) and Connolly et al. (2023). Read Full Article >