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Key frame from the official Kimi K3.1 Pro 3D demo video
2026.10.26

Describe the 3D scene you want, and this AI runs the 3D software itself and hands it back animated

In the demos Moonshot AI released with Kimi K3.1 Pro early on October 24 (Korea time), you describe the 3D you want in words, and the model operates 3D programs like Blender, Unreal Engine, Godot, and CAD tools itself. It builds the parts, assembles the scene, then finishes the animation and rendering. We also collected what people outside the company built with it, and what they said, in the first three days after launch.

Kimi K3.1 Pro · 4 cases

Insights2026.10.29

Subscription companies made money on forgotten renewals. Now an AI assistant cancels them for customers

Stanford researchers estimated that inertia in canceling raises revenue at large subscription services by 87% on average, close to double, and that cancellations rose sharply in months when customers had to decide for themselves. Meta's AI assistant Muse finds those neglected subscriptions and cancels them for customers, and in one person's collection of public cases, recovering money was the most common single task. What subscription companies can count on is shifting from the time customers spend putting things off to real use, the kind that makes customers say they'll keep paying when an AI asks.

Insights2026.10.29

People with no ultrasound training swept a handheld probe across pregnant bellies, and AI dated the pregnancies as accurately as expert sonographers

People who had never learned ultrasound swept a handheld device across the belly, and the AI's gestational age estimates had a mean error of 4.2 days, no worse than expert sonographers (4.5 days). In Nairobi, where the AI was never trained on local data, the AI and the experts had the same mean error: 4.3 days. What field staff learned in six hours of hands-on training wasn't how to read scans. It was how to sweep evenly, at a quality the AI could read.

Insights2026.10.26

AI turned out 722 math manuscripts at once. Now the scarce resource is mathematicians to read them

OpenAI released 722 AI-generated math manuscripts at once. Of the 719 left after withdrawals, only 42% have proofs confirmed by the Lean program. This piece follows the record of 3 withdrawals over a calculation error the next day, 14 separate proof revisions, and how mathematicians reacted. Together they show math's bottleneck moving from producing proofs to finding people who can read and check them.

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