ASSES#140 + LINK TO OUR TELEGRAM COMMUNITYJust like when there's a biological threat, extraterrestrial invasion, or they find Godzilla eggs, the army shows up at the house of a scientist, an astronomer, or at the home of an archaeologist or paleontologist to take them to secret facilities by order of the president, if it were about butts, I'm sure one morning I'd wake up to a SWAT team rappelling from a helicopter to take me away.
Can you imagine if I got arrested for some illegal ALRNCN stuff and I thought they were recruiting me for my knowledge, skills, and good taste in selecting butt videos? I can see myself in the cell, crying and laughing at the same time because of the irony and absurdity of the situation.
# Watch videos
You can find much more content like this on
our TELEGRAM CHANNEL
For Apple users
You might have noticed that when attempting to join our Telegram Channel you get a message that flags our content as sensitive content, which ends up not letting you see anything; this means you have the parental control activated.
This means you have to go to the web version of Telegram https://web.telegram.org and log in, if you are not already. In the settings, in the "Privacy" section, find the option "Sensitive content" and activate "Disable filtering". As soon as you do, the Settings will automatically sync with the rest of your devices, including the iOS and macOS versions of the App Store.
From there you will be able to enter all the Adult Channels.
Welcome to the party.
YOUR FACE LOOKS FAMILIARAny resemblance to reality is the result of chance and a process called "supervised learning," where labeled image datasets are used, which can come from various sources such as public databases, online images, or even manually created through human labeling.
These labeled images are used to train an AI model, such as a Convolutional Neural Network (CNN). During training, the model learns to recognize patterns and features in the images that are associated with the corresponding labels. This is done by adjusting the weights and internal parameters of the model to minimize the difference between the model's predictions and the actual labels of the images in the training dataset.
Once the model has been successfully trained, it can be used to perform various image-related tasks such as classification, object detection, segmentation, image generation, among others. When a new image is fed into the model, it makes predictions about what the image contains based on what it has learned during training with the labeled dataset.
If the AI makes mistakes, these can be corrected with additional feedback and retraining of the model.
# See images
Extreme paragliding.