This video demonstrates a coding challenge where four AI models (GPT 5.2, Sonnet 4.6, Gemini 3.1, and Grok 4.3) were tasked with creating a fluid particle vortex storm using vanilla HTML and JavaScript without physics libraries. The challenge required implementing vector flow fields, vortex attractors, and fluid damping to simulate realistic physics. The video shows that different AI models produce vastly different results, with some completely breaking fluid mechanics while others create accurate simulations, highlighting the varying levels of physics understanding among AI models.
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AI Physics Engines Battle: Can They Code a Vortex? #coding #ai #challengeAdded:
I challenged [music] four AI to code a fluid particle vortex storm in pure JavaScript. The prompt is in the [music] pinned comment if you want to try it.
Watch these four physics engines run live. They had to calculate [music] vector flow fields, vortex attractors, and fluid damping.
>> [music] >> Look closely at the grid. You can see immediately that they do not understand physics the same way.
One of these models [music] completely breaks the fluid mechanics, while another creates an absolute masterpiece.
Which AI actually understands [music] physics, and which one faked it? Cast your vote in the comments below.
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