Diffusion models are a kabbalistic miracle of math. At the core, they’re just incredibly advanced denoising systems, formally known as Denoising Diffusion Probabilistic Models (DDPMs), e.g. Stable Diffusion and DALLE-2.

During training, the model is shown hundreds of millions of images paired with text descriptions. To teach it how to "clean up" noisy images, we intentionally add random noise to each training image. The model’s job is to learn how to reverse it using the text prompt as a guide for where and how to remove the noise.

When you generate an image, the model performs this process in reverse. It starts with a latent space of pure random noise and gradually subtracts more and more noise with each diffusion step. It's synthesizing an image from scratch by removing all of the noise until the image remains, organizing the chaos into whatever you asked it to generate.

Die Deutsche Post hat zu Jahresbeginn das Porto um 10,5% angehoben, bis zum Jahresende will man 8000 Stellen abbauen, im letzten Jahr wurden auch schon tausende Stellen angebaut.

Nun meldet das Unternehmen für das erste Halbjahr im deutschen Brief- und Paketgeschäft einen Anstieg des operativen Ergebnisses (EBIT – also vor Zinsen und Steuern) um 38 %. Zugleich ist man bemüht, die Zustellgeschwindigkeit und die Flächendeckung immer weiter abzurüsten. Faktisch werden also Preise erhöht, Personal entlassen, die Dienstleistung schlechter. Infrastruktur in privater Hand. Man muss es lieben.

https://www.spiegel.de/wirtschaft/unternehmen/deutsche-post-mehr-gewinn-bei-briefen-und-paketen-a-ddb6e5ea-1c66-4a63-98f0-1fc4387abe65

Edit: EBIT genauer eingebaut.

The Spanish word for 'film' is 'película'.

As different as they are, these words derive from the same Proto-Indo-European root.

They originally only meant "thin layer" but they came to denote film tapes as well when these were invented.

My new graphics shows more words belonging to this family: