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Claim Text: As recently as 2024, forecasters didn’t expect A.I. capable of solving a so-called millennium problem in mathematics until 2035 — though the reported solution to the Navier-Stokes problem remains disputed, and some mathematicians have begun to ask whether the model was even responding to the right aspect of the challenge.
Simplified Text: In 2024, forecasters did not expect AI to solve a millennium problem in mathematics until 2035, though the reported solution to the Navier-Stokes problem is disputed.
Confidence Score: 0.900
Claim Maker: The author
Context Type: News Article
Context Details: { "date": "2024" }
Subject Tags: AI Prediction Mathematics
UUID: 3c07fe67-b7f9-4544-9931-fd7c1a62a1e8
Vector Index: ✗ No vector
Created: September 30, 2026 at 12:04 PM (2 weeks ago)
Last Updated: September 30, 2026 at 12:04 PM (2 weeks ago)

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Screenshot of https://nytimes.com/2026/09/25/magazine/why-we-cant-stop-predicting-the-apocalypse.html

The Problem With Apocalyptic Thinking

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23 claims 🔥

2 weeks ago

https://nytimes.com/2026/09/25/magazine/why-we-cant-stop-predicting-the-apocalypse.html

This article explores the pervasive feeling of impending apocalypse, from climate change to AI, and questions whether our fears of exponential growth are always accurate. It examines how these anxieties shape our perception of solutions and progress.

Apocalyptic Thinking Artificial Intelligence Climate Change COVID-19 Societal Fears Exponential Growth Technology

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