Generative AI Explodes in 2022, Experts Predict 2023 Trends
MIT Technology Review reflects on a groundbreaking year where generative AI models produced stunning text, images, and videos. Experts outline the four biggest trends expected to shape the artificial intelligence landscape in the coming year.
Artificial intelligence experiences a massive creative surge in 2022 as models learn to generate highly convincing text, images, and videos from simple prompts. OpenAI ignites this generative explosion with the release of DALL-E 2, followed quickly by impressive text-to-video breakthroughs from Google and Meta. The recent launch of ChatGPT further demonstrates the remarkable pace of innovation with its surprisingly eloquent and coherent large language model capabilities.
This rapid acceleration leaves many industry observers wondering how to predict the future of such a fast-moving field. MIT Technology Review experts Will Douglas Heaven and Melissa Heikkilä tackle this challenge by identifying the four biggest trends they expect to shape the AI landscape in 2023. Their analysis helps make sense of an overwhelming year of progress and offers a roadmap for the upcoming months.
The 2022 retrospective also highlights other significant tech stories, including a deep dive into the true invasiveness of brain stimulation technologies. While treatments like transcranial magnetic stimulation are considered noninvasive because they do not pierce the skull, experts question this label given their ability to reach into and alter a person's mind. These standout pieces represent an award-winning year of investigative and forward-looking journalism.