Someone asked this morning which models to back up now that NVIDIA is buying Hugging Face. We told people to keep local copies a week ago, and four days ago we wrote about our own disk filling up and breaking our publishing. Both of those are true at once, so here is the version that reconciles them.
Two separate finds landed today that work the same way. Draw a red circle on a reference image and the video happens there. Put a red dot where you want the eyes to look and they look there. Our own best result last week was the same idea in a different channel, and it explains why so much prompt wording does nothing.
On 30 August we told you the licence was a gate rather than a ban. That was not right, and the version we corrected away from was closer to the truth. Here is what the licence actually says, what applying took, and the one clause that should stop a lot of people in this hobby cold.
Everyone plans their VRAM. Almost nobody plans their storage, and it fails in ways that do not look like storage. A note on the hidden running cost of local AI, including the 591 GB folder we did not know we had and the broken login it caused.
If your LTXVideo nodes stopped loading after updating ComfyUI, you did not break anything. A dependency called kornia gets pulled forward to 0.8.3 and the video node pack cannot import against it. The fix is one command, the issue has been open since June, and there is a real trade-off nobody mentions.
Two unrelated things happened on the same Thursday. The place almost every open model lives got acquired by the company that makes the chips, and the three biggest chatbots went down together because they share a cloud. Here is what we think it means for anyone running AI on their own machine, including the part where our own pipeline broke this morning.
Both of those happened on the same day, in the same corner of the internet, running comparable work. Prices at the top are climbing, the used enterprise shortcut is failing in public, and the floor keeps quietly dropping. A note on the strangest hardware ladder local AI has had yet.
Hugging Face says MiniMax H3 went up on 28 July. Five weeks later there are around 400 repositories with its name on them, new ones arriving at eight to twenty-four a day, and this week the community visibly stopped asking whether it runs and started asking how fast. Here is what that pace actually looks like, and why our own pipeline is not moving anywhere near that quickly.
Our radar pulled 240 items and the video half was almost entirely one model. Three separate projects landed in a day to squeeze MiniMax H3 onto consumer GPUs, and every one of them is impressive. The thing none of the posts mention is that the licence puts an application form in front of anyone in the US, EU, UK or South Korea.
Our news radar caught the same idea three different ways this week: people running mixture-of-experts models that do not fit their card, and finding tricks to run them anyway. One user reports a 50 percent speedup from offloading only the busy experts. Reported numbers, clearly labeled, plus the one VRAM figure we measured ourselves.