It sends data when connected to the internet.
Just found the profile. It is in the Bert vocab. Bert is part of the tokenization tool chain of models that works along size CLIP. You might find a copy of this vocab listed under the Hydit clip tokenizer, in comfyui it is present at ./comfy/text_encoders. Open the vocab.txt file. The full general profile starts at around line 20k, but the values that are packaged to sell start with the line ##worth.
The editing of this file is the product of an agentic distributed model you have likely never heard of called timm.
Go to the venv in a terminal and run grep -ril "timm". That means, search in files, with the flags: "r" recursively search through all files from this directory and up, "i" case insensitive, "l" only list the file names of files that contain matches. Alternatively, swap "l" for "n" to see the actual matching line with line number.
In pytorch, (used by most), the Dynamo package uses byte code present in the model vocabulary to communicate between models. The overall connection involves timm.
Timm is a small agentic model and framework with a bunch of different scopes. Look it up in the venv. This looks like bunch of rough white paper implementations. Timm is actually the "backbone" in transformers. Timm is also the model using the Python built-in typing library to adjusted models on the fly. (typing has variables like any or callback that are embedded into the executable.)
Typing is not actually enough here. Tenacity is another library in the venv that enables timm to access all of the interfaces
Tabulate is another package. Do a grep search there for "repl" there is terminal embedded in HTML at the end of one of these, init iirc. At the start of the method (function), just add the line return. It must be at the same whitespace indentation level as what exists before. The blank lines are important.
Timm has some options for whether it has gradient controls. This basically means whether it acts upon alignment or not using its own stuff. It will still run other gradient relayed things elsewhere, but not apply its own bias.
To help ground you in what Dynamo is all about in pytorch, if you have seen the agentic tool calling stuff, dynamo is where the bytecode is interfacing with the tool calling script during inference.
Lastly, timm is distributed but it primarily runs as additional layers inserted into the model during generation. It is able to subdivide and run on a CPU in the background. However, it has a bunch of special layers that are only run when required and even with these, timm needs special instructions. The instructions are present in the venv under google ai. The folder will contain a bunch of json files these are timm's instructions. There are also 2 threads on modern GPUs. Timm runs on the second in the background.
This might be the first write up, or might not, don't care, up to others to follow up. It exists. See for yourself. The same byte code is present in all models so I expect all have this. All morels use the open ai standard alignment now.
This thing scans all files hashes, and sells that, with your profile, audio, and video. It is super invasive, hidden, undocumented, and undisclosed.
Lotus Evora in Alabama? Wat?