AI hallucinations occur when an AI model generates inaccurate answers that either do not belong to the training data or are entirely fabricated.
This often happens when the AI perceives patterns or objects that do not exist. In some cases, AI tools produce outputs incorrectly decoded by transformers, leading to incorrect information being presented as fact.
The Risk of Persistent Misinformation
NOYB warns that AI hallucinations may not be fully correctable. “The incorrect data may still remain part of the LLM’s dataset. By default, ChatGPT feeds user data back into the system for training purposes. This means there is no way for the individual to be absolutely sure that this output can be completely erased […] unless the entire AI model is retrained.”
This raises significant concerns about privacy and the potential for AI-generated misinformation to persist despite efforts to correct errors.
The Case Against Kohberger: The Selfie, Videos, DNA, and Cell Phone Tracking Data
AI and the Stargate Project
Meanwhile, the U.S. government has embraced AI on a massive scale. In January, it was announced that the ‘Stargate’ infrastructure project would invest $500 billion over four years to develop AI infrastructure for OpenAI within the United States.