AI Research

Reality Check

OpenAI Says Its AI Proved the Exponential Time Hypothesis False. Here Is What Is Actually Proven

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For 25 years, computer scientists bet that a famous puzzle can never be solved much faster than by trying everything. OpenAI says its AI proved that bet wrong and that a machine checked the proof. Explained simply, with everyday examples: what is proven, what is only claimed, why it is not P vs NP, and what it means for companies and users. Full details for the curious below.

Thorsten Meyer
October 27, 2026

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Reality Check

Why AI Text Is So Tiring to Read: Six Patterns, and How to Fix Them

A tangled knot of cobalt and turquoise ribbon on a white desk, with the same ribbon running out into one smooth straight line

A new study counts six patterns that make AI text hard to read: rare word pairs, long gaps, a dropped “that”, noun stacks, nouns as verbs and objects that act alive. Each one with a before-and-after fix, why models drift toward density, why detectors are the wrong tool, and what it means for companies and users. One preprint, honest limits.

Thorsten Meyer
October 26, 2026

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Reality Check

50 Signs of Superintelligence, Checked: How Close Is AI to AGI and ASI?

A wall of fifty frosted glass tiles in a bright gallery, a few glowing turquoise, several pale amber, most plain white

One researcher counts 50 signs of superintelligence and calls today’s top models early ASI. I traced 18 of his biggest 2026 claims to the primary sources: 7 hold up, 5 are vendor claims, 3 rest on one source, 3 are disputed. Maths is the real breakthrough; AI that improves AI is running, but not exploding. What it means for companies and users.

Thorsten Meyer
October 26, 2026

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Insights

State of AI Research 2025: Insights From the AI Index Report

Looming advancements and challenges in AI research are unveiled in the 2025 AI Index report, revealing trends that could redefine our technological future.