Not so long ago, the main measure of a neural network’s quality was considered its ability to imitate a human. Polite courtesies, extended introductions, and soft phrasing created the illusion of a live interlocutor. At the stage of getting familiar with the technology, this helped remove the barrier of distrust, but over time the priorities shifted.
Discussions about what is better – macOS or Windows – usually flare up again after another Apple presentation. While some users cannot imagine a working day without a MacBook, others see such loyalty to the platform as nothing more than the result of marketing. In reality, the difference lies in fundamental approaches to developing software and hardware. Windows was originally created as a universal constructor that must run on thousands of combinations of motherboards and graphics cards. Apple chose another path, locking the system to its own hardware.
Just a few years ago, generating images with artificial intelligence looked more like a technical curiosity. The models could already draw pictures from a text description, but the result was… let’s say unpredictable. People with six fingers, strange proportions, objects appearing where nobody asked for them. It was interesting to look at. Using it in real work – not really.
