Man tests if Gemini 3 AI can successfully repair a torn piece of paper
Published on Feb 10, 2026 at 2:31 PM (UTC+4)
by Jason Fan
Last updated on Feb 10, 2026 at 2:31 PM (UTC+4)
Edited by
Mason Jones
To see what today’s AI models are really made of, one YouTuber threw Gemini 3 into a challenge built around messy, fragmented image puzzles.
Instead of simple prompts or trivia, the test involved torn-up notes with scrambled text, forcing the AI to rely on visual reasoning and pattern recognition.
The goal was to push beyond chat and see how well it could reconstruct both images and meaning under pressure.
Interestingly, the AI simultaneously impressed and disappointed the content creator.
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Gemini 3 was surprisingly good at its first task
The challenge focused on two key skills: figuring out how fragments fit together and reading damaged text, a mix of spatial reconstruction and optical character recognition.
In the first round, YouTuber Space Kangaroo tore a note into four pieces and rotated them randomly before showing them to Gemini.
The AI analyzed the fragments and successfully decoded the message.
The punchline?
The note read, ‘GEMINI IS DUMB.’
As a follow-up, the creator asked Gemini to go one step further and virtually put the paper back together.
Gemini had no problems doing this, so the YouTuber upped the ante, asking the AI to ‘repair’ the tears.
Surprisingly, it managed to do this as well, producing a clean, reassembled version of the note.
For a moment, the AI looked less like a chatbot and more like a digital detective.
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Things got trickier in round two
In the second test, the paper was torn into six pieces, making the layout more complex and the text harder to analyze.
This time, Gemini stumbled.
Its first attempt at the message came out as, ‘SO YOU THINK YOU CAN NO SOLVE,’ and a second try read, ‘SO THINK YOU CAN NOT SOLVE.’
The real sentence was supposed to be, ‘SO CAN YOU SOLVE THIS ONE,’ but the AI added and swapped words, essentially confusing itself.
The YouTube comments section lit up fast.
Some viewers joked that their jobs were safe for now, poking fun at the AI’s mistakes.
One person quipped that Gemini nailed ‘GEMINI IS DUMB’ so easily because it has probably heard that before.
Others took a more balanced view, pointing out that even imperfect performance on such messy visual tasks is impressive.
The takeaway is not that AI is flawless, but that it is learning fast.
Gemini clearly struggled with higher difficulty, yet its ability to interpret torn, rotated fragments at all shows how far these systems have come.
If this is where visual AI stands now, the next few years could get very interesting.
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Jason joined the editorial team at Supercar Blondie in April 2025 as a Content Writer. As part of the growing editorial team working in Australia, and in synergy with team members in Dubai, the UK, and elsewhere in the world, he helps keep the site running 24/7, injecting his renowned accuracy and energy into every shift.
