Simon Willison's experiment highlights a persistent gap in the generative AI hype cycle: the chasm between a model's technical capability and its practical accessibility. While the MLX port is a clever piece of engineering that leverages Apple's hardware ecosystem, the resource demands—both in storage and time—render it a novelty for all but the most dedicated researchers and hobbyists. This serves as a useful reality check; the industry's focus should arguably be on efficiency and integration before declaring every new model a breakthrough. The real story here isn't the video output, but the reminder that raw model capability means little without a viable path to actual use.
Minimax H3 video model ported to Apple Silicon via MLX
A developer's experiment shows text-to-video generation on a Mac, but the process remains resource-intensive and slow.
AIpressr commentary on an article originally published by Simon Willison.
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Editor's Take
As reported by Simon Willison, a new port of Minimax's H3 text-to-video model to Apple's MLX framework allows it to run on Mac hardware. While the technical feat of running such a large model locally is notable, the practical utility for most users appears limited. The demonstration, which required downloading 115 GB of files and nearly 45 minutes of processing for a short clip, underscores that cutting-edge generative video remains firmly in the realm of high-end, experimental tinkering rather than a usable creative tool.
“It downloaded ~115 GB of model files, and the video generation took just under 45 minutes.”
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