Artificial Narrow Intelligence (ANI)

Sometimes called weak AI is the kind of AI or machine learning that we have today: each software application has a single specific purpose like diagnosing cancer or driving a car. Large platforms are being created of many ANIs such as Gato 1 by DeepMind of Alphabet which is a deep neural network that can perform 604 different tasks from managing a robot to recognizing images and playing games – it is not Artificial General Intelligence (AGI)I, but Gato is more than the usual ANI: “The same network with the same weights can play Atari, caption images, chat, stack blocks with a real robot arm and much more, deciding based on its context whether to output text, joint torques, button presses, or other tokens. 2 Also the Wu Dao 2.0 by the Beijing Academy of Artificial Intelligence 3 has 1.75 trillion parameters 4 trained from both text and graphic data. This allows it to generate new text and images on command and has its virtual student (Hua Zhibing) that learns from Wu Dao 2.0. 5 Similarly, ChatGPT, GPT-4, Claude-2 and other large model-bases AI applications are not yet Artificial General Intelligence, since they are tools that put together what exists from the databases, rather being an agent that can address novel problems, with novel strategies similar or beyond what humans can perform. The European Union and China have approved regulations for ANI.