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A Generated Error and an Astrophysicist's Honest Admission of Over-Reliance on AI

August 31, 2026 | 20:51 |1647
Even the most brilliant minds succumb to the temptation to speed up their work with artificial intelligence, forgetting that algorithms are designed not to seek the truth, but to create a convincing illusion of plausibility. Renowned astrophysicist and science writer Paul Sutter, who has served as a scientific advisor and consultant for NASA projects, candidly recounted his dramatic experience in an article for NautilusEven the most brilliant minds succumb to the temptation to speed up their work with artificial intelligence, forgetting that algorithms are designed not to seek the truth, but to create a convincing illusion of plausibility. Renowned astrophysicist and science writer Paul Sutter, who has served as a scientific advisor and consultant for NASA projects, candidly recounted his dramatic experience in an article for Nautilus
Source: ORIENT/AI

Even the most brilliant minds succumb to the temptation to speed up their work with artificial intelligence, forgetting that algorithms are designed not to seek the truth, but to create a convincing illusion of plausibility. Renowned astrophysicist and science writer Paul Sutter, who has served as a scientific advisor and consultant for NASA projects, candidly recounted his dramatic experience in an article for Nautilus. The popular American resource Futurism, dedicated to scientific discoveries, technological innovation, and the future of humanity, recounted it in its publication.

The scientist was refining an algorithm for detecting "voids" between galaxies. To speed up the coding process, he resorted to active consultations with an AI assistant. The new algorithm worked ten times faster, handled colossal volumes of data, and seemed flawless.

However, 10 minutes into the presentation to colleagues, one of the people present noticed a bug: the AI ​​was "hallucinating" when processing extreme data values. The error was subtle, but it completely distorted all the mathematical conclusions.

"It wasn't a typo or a missed reference. It was subtle, but fundamentally flawed. And I shared all of this in a room full of people who trusted me. The AI ​​programming tool sounded like it understood everything, when in fact, it was just a sophisticated next-word predictor," Sutter admitted.

The astrophysicist compared the current AI boom to alchemy—a pre-scientific era when people sealed the crucible and believed in magic. "We are now in the pre-chemical era of AI," Sutter declared. He also noted that the fluency of neural networks is not intelligence, but "a trait we've bred into them ourselves, just as we once bred dogs into wolves that stare at us, expecting a treat." The scientist's main conclusion: never trust AI without rigorous manual auditing.

The irony of the situation emerged at the end: when Futurism editors ran Sutter's confession through the Pangram text detector, the program declared that 56% of Sutter's article was generated by AI.

This story is a stark reminder: if world-renowned scientists with colossal knowledge succumb to the "magic" of AI and fall into the trap of gullibility, then how vulnerable are ordinary people to the convincing lies of neural networks? In the era of "vibe technologies," critical thinking is becoming the only means of defense.

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