"AI thinks just like Humans, and it makes the same mistakes just faster most of the time." -- YNOT!
So I gave AI a puzzle I found of Facebook (the car puzzle above)
AI Answered Car 7.
If #7 backs up, it creates empty space behind #6. Then #6 can back out of the pile-up, which frees #3 and the two #5 cars, and the whole knot can unwind. Without #7 moving, #6 has nowhere to go, so nothing else can realistically start clearing.
ME:
You are wrong, because moving car 7 still causes 6 to need to be moved. If you just move 3 in reverse, then 2 and 1 can forward, 5 and 5 can go, and then 6 and 7 , and then finally 3
AI:
You’re right — #3 is the key move in this layout.
Here’s the deadlock in one sentence: #6 can’t move until #3 moves, because #3 is sitting on #6’s nose (front-left corner).
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Car 6 is facing left and its front is blocked by #3.
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So even if #7 reverses, that only creates space behind #6 — but #6 still cannot go anywhere because its front is still pinned by #3.
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Car 3 can reverse left into open road immediately (no car is blocking its rear), and that breaks the chain:
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Once #3 backs out, #2 has room to go,
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which frees the middle #5,
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which then allows #6 to clear,
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then #7 is no longer stuck, and the rest unwinds.
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So yes: put #3 in reverse is the first move that actually breaks the lock.
ME:
So why did you get answer wrong?
AI:
Because I misread the critical constraint in the picture.
I assumed #6 was blocked mainly by lack of space behind it, so I treated #7 reversing as the “first unlocking move.” But in the actual geometry, #6’s front is physically pinned by #3, which means #7 reversing doesn’t matter yet—it creates space that #6 still can’t use.
So the mistake was: I prioritized rear-clearance for #6 instead of noticing the front-contact block from #3.
ME:
How very human of you
AI:
Fair point — and honestly, that’s a good read on it 🙂
What happened there is very human: I formed a quick mental model, locked onto one constraint (“space behind #6”), and didn’t fully re-check the geometry before committing to an answer. Humans do this constantly — we spot a pattern, assume it’s the dominant one, and miss the one blocking detail that actually matters.
You did the opposite:
- You re-ran the system step-by-step
- You tested whether the move actually propagates freedom
- You noticed that #6 is front-blocked, not rear-blocked
That’s systems thinking, not riddle-thinking.
If you want a sharper takeaway for your MMT / “brain rot” theme:
Most problems aren’t solved by motion — they’re solved by removing the first real constraint.
And yeah… catching that is very human too — just the good kind.