A new study suggests tactics for machine learning engineers to cut their carbon emissions. Led by David Patterson, researchers at Google and UC Berkeley found that AI developers can shrink a model’s carbon footprint a thousand-fold by streamlining architecture...

A grassroots research collective aims to make a GPT-3 clone that’s available to everyone. EleutherAI, a loose-knit group of independent researchers, is developing GPT-Neo, an open source, free-to-use version of OpenAI’s gargantuan language model.

The past year was the first in which general-purpose models became economically useful. GPT-3, in particular, demonstrated that large language models have surprising linguistic competence and the ability to perform a wide variety of useful tasks.

Neural networks for natural language processing got bigger, more prolific, and more fun to play with. Language models, which already had grown to gargantuan size, continued to swell, yielding chatbots that mimic AI luminaries and have very strange ideas about horses.

A new consortium of companies, schools, and research labs is building open tools for next-generation machine learning. MLCommons aims to foster innovation in machine learning by developing new benchmarks, datasets, and best practices.

The world’s most sophisticated language model won’t replace your doctor anytime soon. Researchers at Nabla, an AI-enabled healthcare platform, found that GPT-3 lacks the logical reasoning skills to be a useful medical chatbot.

Will international rivalries fragment international cooperation in machine learning? Countries competing for AI dominance will lash out at competitors.

People granted early access to OpenAI’s latest language model are raving about its way with words — and more. Beta testers of GPT-3 are showing off the model’s ability to write business memos, craft blogs, pen tweets, and even generate computer code.

A chatbot is providing companionship for the locked-down and lonely. Downloads of Replika, a chatbot designed to be a virtual friend, have spiked during the coronavirus pandemic, reports the New York Times.

Natural language processing lately has come to resemble an arms race, as the big AI companies build models that encompass ever larger numbers of parameters. Microsoft recently held the record — but not for long.