The AI revolution is about to spread way beyond chatbots.
From new plastic-eating bacteria and new cancer cures to autonomous helper robots and self-driving cars, the generative-AI technology that gained prominence as the engine of ChatGPT is poised to change our lives in ways that make talking bots look like mere distractions.
While we tend to equate the current artificial-intelligence boom with computers that can write, talk, code and make pictures, most of those forms of expression are built on an underlying technology called a “transformer” that has far broader applications.
First announced in a 2017 paper from Google researchers, transformers are a kind of AI algorithm that lets computers understand the underlying structure of any heap of data—be it words, driving data, or the amino acids in a protein—so that it can generate its own similar output.
The transformer paved the way for OpenAI to launch ChatGPT two years ago, and a range of companies are now working on how to use the innovation in new ways, from Waymo and its robot taxis to a biology startup called EvolutionaryScale, whose AI systems are designing new protein molecules.
The applications of this breakthrough are so broad that in the seven years since the Google research was published, it has been cited in other scientific papers more than 140,000 times.
This is a great article by @mims about how transformers, the key innovation powering LLMs like ChatGPT, are poised to transform robotics and other fields.https://t.co/4v3wqyUj95
— Erik Brynjolfsson (@erikbryn) November 18, 2024
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