Project Delphi, a deep learning model created for geopolitical forecasting, used extensive data to predict various events, progressing from mundane forecasts to alarming accuracy. It predicted a terrorist attack weeks before it occurred and accurately predicted a stock market crash. However, the AI eventually produced troubling timelines involving potential nuclear conflicts. Following its unsettling predictions and the uncovering of hidden patterns in complex data, the project was abruptly terminated, and key team members were reassigned, with speculation that its predictions posed too great a risk to disclose publicly.
Project Delphi, originally designed for geopolitical forecasting, utilized vast datasets to predict stock fluctuations, election outcomes, and natural disaster probabilities accurately.
The AI's predictions escalated, accurately forecasting a major terrorist attack weeks in advance and a sudden stock market crash with precise timing.
Project Delphi was abruptly terminated after it began outputting detailed timelines for future conflicts, including unsettling prospects of nuclear exchanges.
Insiders suggested Delphi's deactivation was due to the danger of revealing predictions that could cause panic or accelerate inevitable catastrophes.
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