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Google may be gearing up to compete with OpenAI’s ChatGPT by letting people “interact directly” with its “newest, most powerful language models as a companion to search,” according to CEO Sundar Pichai. It would be a big move for the company — as systems like ChatGPT and DALL-E have gone viral, Google — a company that’s been flexing its AI muscles for years and producing tons of research in the area — hasn’t had a public answer to those sorts of tools, some of which could threaten its core businesses.

As we face economic uncertainties and changes to work patterns, organizations are searching for ways to optimize IT investments and re-energize employees to achieve business results. Now—more than ever—organizations need solutions to adapt to change, improve productivity, and reduce costs. Fortunately, modern tools powered by AI hold the promise to boost individual, team, and organizational-level productivity and fundamentally change how we work.

This promise is rapidly becoming a reality. At Microsoft, we’re working to incorporate new, AI-powered capabilities across our consumer and enterprise products, including Microsoft Teams.

As part of this continuous innovation, I’m excited to share that Microsoft Teams Premium is generally available. Built on the familiar, all-in-one collaborative experience of Microsoft Teams, Teams Premium brings the latest technologies, including Large Language Models powered by OpenAI’s GPT-3.5, to make meetings more intelligent, personalized, and protected—whether it’s one-on-one, large meetings, virtual appointments, or webinars.1

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The AI-powered chatbot ChatGPT is taking the Internet by a storm with its impressive language capabilities, helping to draw up legal contracts as well as write fiction. But it turns out that the underlying technology could also help spot the early signs of Alzheimer’s disease, potentially making it possible to diagnose the debilitating condition sooner.

GitHub Copilot dubs itself as an “AI pair programmer” for software developers, automatically suggesting code in real time. According to GitHub, Copilot is “powered by Codex, a generative pretrained AI model created by OpenAI” and has been trained on “natural language text and source code from publicly available sources, including code in public repositories on GitHub.”

However, a class-action lawsuit filed against GitHub Copilot, its parent company Microsoft, and OpenAI claims open-source software piracy and violations of open-source licenses. Specifically, the lawsuit states that code generated by Copilot does not include any attribution to the original author of the code, copyright notices, or a copy of the license, which most open-source licenses require.

“The spirit of open source is not just a space where people want to keep it open,” says Sal Kimmich, an open-source developer advocate at Sonatype, machine-learning engineer, and open-source contributor and maintainer. “We have developed processes in order to keep open source secure, and that requires traceability, observability, and verification. Copilot is obscuring the original provenance of those [code] snippets.”

In 1965, I. J. Good described for the first time the notion of “intelligence explosion”, as it relates to artificial intelligence (AI):

Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an “intelligence explosion,” and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control.