Latest from MIT Tech Review – A bot that watched 70,000 hours of Minecraft could unlock AI’s next big thing

OpenAI has built the best Minecraft-playing bot yet by making it watch 70,000 hours of video of people playing the popular computer game. It showcases a powerful new technique that could be used to train machines to carry out a wide range of tasks by binging on sites like YouTube, a vast and untapped source…

Latest from MIT Tech Review – We could run out of data to train AI language programs 

Large language models are one of the hottest areas of AI research right now, with companies racing to release programs like GPT-3 that can write impressively coherent articles and even computer code. But there’s a problem looming on the horizon, according to a team of AI forecasters: we might run out of data to train…

Latest from MIT Tech Review – Meta’s game-playing AI can make and break alliances like a human

Meta has created an AI that can beat humans at an online version of Diplomacy, a popular strategy game in which seven players compete for control of Europe by moving pieces around on a map. Unlike other board games that AI has mastered, such as chess and Go, Diplomacy requires players to talk to each…

Latest from MIT : A far-sighted approach to machine learning

Picture two teams squaring off on a football field. The players can cooperate to achieve an objective, and compete against other players with conflicting interests. That’s how the game works. Creating artificial intelligence agents that can learn to compete and cooperate as effectively as humans remains a thorny problem. A key challenge is enabling AI…

Latest from MIT : A simpler path to better computer vision

Before a machine-learning model can complete a task, such as identifying cancer in medical images, the model must be trained. Training image classification models typically involves showing the model millions of example images gathered into a massive dataset. However, using real image data can raise practical and ethical concerns: The images could run afoul of…

Latest from MIT Tech Review – Trust large language models at your own peril

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. When Meta launched Galactica, an open-source large language model designed to help scientists, the company—reeling from criticism of its expensive metaverse investments and its recent massive layoffs—was hoping for a big PR win. Instead,…

Latest from MIT Tech Review – Watch this robot dog scramble over tricky terrain just by using its camera

When Ananye Agarwal took his dog out for a walk up and down the steps in the local park near Carnegie Mellon University, other dogs stopped in their tracks.  That’s because Agarwal’s dog was a robot—and a special one at that. Unlike other robots, which tend to rely heavily on an internal map to get…

Latest from Google AI – Conversation Summaries in Google Chat

Posted by Mohammad Saleh, Software Engineer, Google Research, Brain Team, and Yinan Wang, Software Engineer, Google Workspace Information overload is a significant challenge for many organizations and individuals today. It can be overwhelming to keep up with incoming chat messages and documents that arrive at our inbox everyday. This has been exacerbated by the increase…

Latest from MIT Tech Review – Why Meta’s latest large language model survived only three days online

On November 15 Meta unveiled a new large language model called Galactica, designed to assist scientists. But instead of landing with the big bang Meta hoped for, Galactica has died with a whimper after three days of intense criticism. Yesterday the company took down the public demo that it had encouraged everyone to try out….