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Illustration: Eniola Odetunde/Axios

Microsoft announced a deal Tuesday that will give it the exclusive license to OpenAI's GPT-3 language model, a tool that uses machine learning to generate remarkably human sounding text.

Why it matters: The deal provides a way for many companies to have access to the technology while seemingly allowing Microsoft to establish guardrails and parameters for how the technology can be used.

The big picture: GPT-3, which was trained on half a trillion words to optimize for a staggering 175 billion parameters, has generated all kinds of buzz in recent months, with MIT Technology Review declaring it "shockingly good."

Between the lines: While the algorithm doesn't actually "know" much of anything as factual, it's capable of writing surprisingly clearly text on just about anything, by analyzing huge swathes of the written internet and using that information to predict which words tend to follow after each other.

Flashback: Microsoft said in May it was building a supercomputer within its Azure cloud specifically for OpenAI and has also invested $1 billion in the San Francisco-based company.

Go deeper: Meet the AI that can write

Go deeper

The Microsoft case's long shadow over Google

Illustration: Sarah Grillo/Axios

Microsoft's epic battle with the U.S. government from 1997-2002, the last major federal antitrust action in tech, casts a long shadow over today's Department of Justice lawsuit against Google — but the industry landscape today is profoundly different.

The big picture: Microsoft's legal ordeal came at a moment when its old competitors, like Apple, were on the ropes, and new competitors, like Google, were just launching. The antitrust case preoccupied Bill Gates and the rest of Microsoft's leadership for years and arguably gave all those competitors the breathing room to grow toward their current success.

Oct 20, 2020 - Technology

When robots are recruiters

Illustration: Sarah Grillo/Axios

One of the fastest-growing workplace applications of artificial intelligence is in hiring, but imperfect algorithms leave qualified women and candidates of color out — and can ultimately build weaker teams.

Why it matters: Algorithms are most often used to make the initial applicant screening process — the resume review — more efficient. But their role cannot be underestimated, as around 95% of all job applicants are rejected based on resumes.

Sen. Sheldon Whitehouse under scrutiny for elite club affiliations

Sen. Sheldon Whitehouse during a Senate hearing on Capitol Hill in February. Photo: Susan Walsh-Pool/Getty Image

Sen. Sheldon Whitehouse (D-R.I.) said in a statement Wednesday that he is a member of an exclusive Rhode Island sailing club that lacks diversity.

Why it matters: Whitehouse has repeatedly spoken out against systemic racism and come under scrutiny this week for his family's affiliation with elite clubs. This is the second such club accused of lacking diversity that the senator has been linked to in recent days