This past weekend I read the AI 2027 report, a fascinating piece of future foresight on the trajectory of artificial intelligence, released a few months ago. The report is long, dense, and full of tech jargon, but it lays out two vivid scenarios for how AI might evolve over the next five years.
The methodology follows the practice of “future foresight,” where scenarios are created and presented as a chronological story, without assigning them an exact probability of occurrence. This approach does not aim to predict the future, but to explore plausible paths, stress-test assumptions, and open space for informed debate about what might happen.
The report was created by Daniel Kokotajlo, Scott Alexander, Thomas Larsen, and Eli Lifland under the collective name AI Futures Project. Their goal is to draw attention to the possible implications of AI’s extremely rapid progress. The intent is not to predict the future with certainty, but rather to generate realistic scenarios that can spark conversations about public policy and preparedness, recognizing that the exact forecast and timing could change.
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