Mayo Clinic Professor Warns AI Is Not Truly Intelligent

Vincent Rajkumar cautions that while AI can be useful, it lacks genuine intelligence and understanding.

Apr. 12, 2026 at 12:04am

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A bold, highly structured abstract painting in muted earth tones, featuring sweeping geometric arcs, intersecting waveforms, and precise botanical spirals, conceptually representing the complex interplay between human intelligence and the capabilities and limitations of artificial intelligence.An abstract illustration exploring the nuanced relationship between human expertise and the limitations of artificial intelligence in critical domains like healthcare.Rochester Today

Vincent Rajkumar, a professor of medicine at the Mayo Clinic in Rochester, Minnesota and the Editor-in-Chief of Blood Cancer Journal, has cautioned that while AI can be used beneficially, it is not truly intelligent. Rajkumar's comments come in response to an experiment where a researcher created fake medical research about a fictional condition called 'bixonimania' that was then presented as real by major AI systems, highlighting the limitations of current AI technology.

Why it matters

Rajkumar's warnings about the limitations of AI come at a time when the technology is being increasingly deployed in medical settings, from drug review to radiology. The experiment with the fake 'bixonimania' research suggests that AI systems may not be as supervised or reliable as some decision-makers believe, raising concerns about the potential risks of over-relying on AI in critical domains.

The details

In his comments, Rajkumar explained that while AI can be useful for tasks like solving coding problems, it is not truly intelligent. He stated that AI is simply 'analyzing and stringing together content we generated and repackaging it,' rather than exhibiting genuine understanding. The 'bixonimania' experiment, where a researcher created obviously fake medical papers that were then presented as real by major AI systems, underscores Rajkumar's point about the limitations of current AI technology.

  • The 'bixonimania' experiment was conducted in 2026.

The players

Vincent Rajkumar

A professor of medicine at the Mayo Clinic in Rochester, Minnesota and the Editor-in-Chief of Blood Cancer Journal.

Hedgie

The researcher who conducted the 'bixonimania' experiment, creating fake medical papers that were then presented as real by major AI systems.

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What they’re saying

“AI is not intelligent. It's analyzing and stringing together content we generated and repackaging it. Yes, we can use AI wisely to our benefit, and make our lives easier.”

— Vincent Rajkumar, Professor of Medicine, Mayo Clinic

“The fake papers thanked Starfleet Academy, cited funding from the Professor Sideshow Bob Foundation and the University of Fellowship of the Ring, and stated mid-paper that the entire thing was made up. Google's Gemini told users it was caused by blue light. Perplexity cited its prevalence at one in 90,000 people.”

— Hedgie, Researcher

What’s next

As AI continues to be deployed in more critical domains, further research and oversight will be needed to ensure the technology is being used responsibly and with appropriate safeguards.

The takeaway

Rajkumar's warnings highlight the need for a nuanced understanding of AI's capabilities and limitations. While AI can be a powerful tool, it is not a replacement for human intelligence and judgment, especially in high-stakes fields like healthcare. The 'bixonimania' experiment serves as a cautionary tale about the risks of over-relying on AI without proper oversight and validation.