?¬†Editorial¬†It is not very common that an individual artificial intelligence (AI) system can power a whole new generation of models. This is partly due to the fact that it has been almost impossible for decades to reuse capabilities between AI models. The practice in traditional supervised learning was to train new models from scratch every time we needed to master a new task. This started to change with the advent of pretrained models and what can be considered its maximum exponent:…