ACT-1: How Adept Is Building the Future of AI with Action Transformers

One of AI's most ambitious goals is to build systems that can do everything a human can. GPT-3 can write and Stable Diffusion can paint, but neither can interact with the world directly. AI companies have been trying to create intelligent agents this way for 10 years. This seems to be changing now. One of my latest articles covers Google's PaLM-SayCan (PSC), a robot powered by PaLM, the best large language model to date. PSC's language module can interpret human requests expressed in natural language and transform them into high-level tasks that can be further broken down into elemental actions.