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In 2019, Karen Hao, a senior reporter with MIT Technology Review, pitched writing a story about a then little-known company, OpenAI. This is what happened next. In 2019, Karen Hao, a senior reporter with MIT Technology Review, pitched me on writing a story about a then little-known company, OpenAI. It was her biggest assignment to date. Hao’s feat of reporting took a series of twists and turns ove

Sam Altman, CEO of OpenAI at the “AI Insight Forum” in Washington, D.C.Photo by Nathan Howard/Getty Images In an essay last week, Sam Altman, the CEO of OpenAI, argued that the accelerating capabilities of AI will usher in an idyllic “Intelligence Age,” unleashing “unimaginable” prosperity and “astounding triumphs” like “fixing the climate.” It’s a promise that no one is in a position to make—and

I met Geoffrey Hinton at his house on a pretty street in north London just four days before the bombshell announcement that he is quitting Google. Hinton is a pioneer of deep learning who helped develop some of the most important techniques at the heart of modern artificial intelligence, but after a decade at Google, he is stepping down to focus on new concerns he now has about AI. Stunned by the

Geoffrey Hinton, a VP and engineering fellow at Google and a pioneer of deep learning who developed some of the most important techniques at the heart of modern AI, is leaving the company after 10 years, the New York Times reported today. According to the Times, Hinton says he has new fears about the technology he helped usher in and wants to speak openly about them, and that a part of him now reg

Hundreds of AI tools have been built to catch covid. None of them helped. Some have been used in hospitals, despite not being properly tested. But the pandemic could help make medical AI better. When covid-19 struck Europe in March 2020, hospitals were plunged into a health crisis that was still badly understood. “Doctors really didn’t have a clue how to manage these patients,” says Laure Wynants,

A pair of recent Google blog posts detail the collection of zero-day vulnerabilities that it discovered hackers using over the course of nine months. The exploits, which went back to early 2020 and used never-before-seen techniques, were “watering hole” attacks that used infected websites to deliver malware to visitors. They caught the attention of cybersecurity experts thanks to their scale, soph

We read the paper that forced Timnit Gebru out of Google. Here’s what it says. The company's star ethics researcher highlighted the risks of large language models, which are key to Google's business. On the evening of Wednesday, December 2, Timnit Gebru, the co-lead of Google’s ethical AI team, announced via Twitter that the company had forced her out. Gebru, a widely respected leader in AI ethics

The process used to build most of the machine-learning models we use today can't tell if they will work in the real world or not—and that’s a problem. It’s no secret that machine-learning models tuned and tweaked to near-perfect performance in the lab often fail in real settings. This is typically put down to a mismatch between the data the AI was trained and tested on and the data it encounters i

On the AI field’s gaps: "There’s going to have to be quite a few conceptual breakthroughs...we also need a massive increase in scale." On neural networks’ weaknesses: "Neural nets are surprisingly good at dealing with a rather small amount of data, with a huge numbers of parameters, but people are even better." On how our brains work: "What’s inside the brain is these big vectors of neural activit

At the start of the week, Liam Porr had only heard of GPT-3. By the end, the college student had used the AI model to produce an entirely fake blog under a fake name. It was meant as a fun experiment. But then one of his posts reached the number-one spot on Hacker News. Few people noticed that his blog was completely AI-generated. Some even hit “Subscribe.” While many have speculated about how GPT

Photograph of Sundar Pichai standing next to a quantum computer at GoogleGoogle for MIT Technology Review In a paper today in Nature, and a company blog post, Google researchers claim to have attained “quantum supremacy” for the first time. Their 53-bit quantum computer, named Sycamore, took 200 seconds to perform a calculation that, according to Google, would have taken the world’s fastest superc

Can you make AI fairer than a judge? Play our courtroom algorithm game The US criminal legal system uses predictive algorithms to try to make the judicial process less biased. But there’s a deeper problem. As a child, you develop a sense of what “fairness” means. It’s a concept that you learn early on as you come to terms with the world around you. Something either feels fair or it doesn’t. But in

To people like Steven McKie, a developer for and investor in an open-source project called the Handshake Network, this centralized power over internet naming makes the internet vulnerable to both censorship and cyberattacks. Handshake wants to decentralize it by creating an alternative naming system that nobody controls. In doing so, it could help protect us from hackers trying to exploit the DNS’

In 1886, the British archaeologist Arthur Evans came across an ancient stone bearing a curious set of inscriptions in an unknown language. The stone came from the Mediterranean island of Crete, and Evans immediately traveled there to hunt for more evidence. He quickly found numerous stones and tablets bearing similar scripts and dated them from around 1400 BCE. That made the inscription one of the

The Pentagon has a laser that can identify people from a distance—by their heartbeat The Jetson prototype can pick up on a unique cardiac signature from 200 meters away, even through clothes. Everyone’s heart is different. Like the iris or fingerprint, our unique cardiac signature can be used as a way to tell us apart. Crucially, it can be done from a distance. It’s that last point that has intrig

The real reason America is scared of Huawei: internet-connected everything Five things you need to know about 5G, the next generation of wireless tech that’s fueling tensions between the US and China. There was a time when the world’s two great superpowers were obsessed with nuclear weapons technology. Today the flashpoint is between the US and China, and it involves the wireless technology that p

We analyzed 16,625 papers to figure out where AI is headed next Our study of 25 years of artificial-intelligence research suggests the era of deep learning may come to an end. Almost everything you hear about artificial intelligence today is thanks to deep learning. This category of algorithms works by using statistics to find patterns in data, and it has proved immensely powerful in mimicking hum

Three charts show how China’s AI industry is propped up by three companies Baidu, Alibaba, and Tencent, the three Chinese tech giants loosely equivalent to Google, Amazon, and Facebook, are not just developing and deploying AI themselves. Their deep pockets have also funded a broad range of AI companies, focused on everything from smart cities to finance to education. Last week, Chinese media outl