The Fatal Flaw in Artificial Intelligence: Climate Change???
Leigh Haugen
The development of large language models (LLMs) has transformed our world in many ways, making artificial intelligence (AI) a powerful tool capable of generating and interpreting massive amounts of information. These models, however, are fundamentally shaped by the data that feeds them—data taken from the internet, which is itself a collection of human input. While AI has the potential to aid in a variety of fields, there is a glaring flaw inherent to its very design: its reliance on human data. If this data is corrupted, biased, or fundamentally flawed, then the AI simply echoes and amplifies those same distortions.
One of the clearest examples of this issue is the topic of climate change. Whether you use a search engine or consult AI for information on climate change, the overwhelming majority of the data you will find supports the concept of catastrophic anthropogenic climate change (CACC). This is no coincidence—it is a reflection of the sheer volume of information that has been generated by those who have accepted this hypothesis, compounded by the biases of institutions and corporations that build the algorithms responsible for curating and ranking this information.
AI and the Dangers of Entrenched Misinformation
Artificial intelligence, by its very nature, is designed to draw conclusions from existing data. However, when that data is overwhelmingly one-sided or biased, AI becomes a tool for amplifying misinformation rather than a mechanism for critical analysis. In the case of climate change, AI is unlikely to offer nuanced perspectives or promote healthy skepticism. Instead, it mirrors the consensus-driven model that has been artificially constructed by political, financial, and globalist interests.
https://www.linkedin.com/pulse/fatal-flaw-artificial-intelligence-climate-change-leigh-haugen-fhahc/
