Without the system prompt, asking its name results in it responding with the name of the model they're ripping from. That would certainly draw your eyes to the right places.
Why is this? Do labs reinforce the model name during training? I was under the impression that this sort of "self-knowledge" always came from the system prompt, but I guess not...
Yes. In this case, during fine tuning. Other blurbs are also baked in during fine tuning that are perfectly reproducible from the Nex model. The details inside the linked issue are quite accessible.
Smear frames are not something often applicable in this kind of animation. Smear frames are just about specific to frame-by-frame animation. No smear frames are demonstrated in this article.
You're thinking of smear frames. Squash and stretch are animation techniques that are perfectly coherent. Smear frames as well contribute to an overall coherent animation. They're a counterpoint to the general idea put forward in this article, but it's also rarely ever relevant to this type of animation.
I have a coworker who, when he needs to operate some software that is unfamiliar to him, snaps a photo of it and has Gemini AI read each label and description. If there is a checklist or form that needs to be filled, Gemini reads each question.
There's only one of him, not 40% of my coworkers, but these people can be employed and maintain employment.
LLMs don't make a good A-frame, nor would I classify them as wood-like. People propose LLMs as solutions as if they're wooden when they're teetering contraptions of metal rods, aluminum extrusions, rubber bands, and duct tape. That can do the trick. It can't be relied on to fail reliably like a single solid material like wood.
Intel homebrew is larger than Linuxbrew, yet I think it'd be shocking if they dropped support for Linuxbrew.
Old machines still work. They're still deeply useful. I'm still using daily an Intel Macbook with homebrew on it. When I no longer use it daily in some years more, it'll still make a perfect server.
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