Large Language Model
Microsoft's Copilot AI goes head-to-head with China's DeepSeek in Africa
Microsoft's Copilot AI goes head-to-head with China's DeepSeek in Africa Microsoft is investing 5.4 billion South African rand ($330 million) to expand its cloud and AI capacity in the country by the end of next year, and it also has plans to build a geothermal-powered data center in Kenya. Microsoft is making a push for more Africans to adopt its artificial-intelligence tools as the U.S. technology giant competes with China's DeepSeek for customers from the world's youngest and fastest-growing population. The Redmond, Washington-based company plans to train 3 million Africans on its AI technology this year, in partnership with schools, universities and other institutions, with a focus on South Africa, Kenya, Nigeria and Morocco. It's also partnered with MTN Group, Africa's biggest telecommunications firm, to sell the Microsoft 365 suit of apps together with its Copilot digital assistant to its 300 million subscribers. The Microsoft Elevate training initiative aims to make sure cost is not a barrier to building AI literacy at scale," Middle East and Africa President Naim Yazbeck said in an interview. Chinese technology is active in Africa and our job is to compete."
Dario Amodei's Oppenheimer Moment
It came earlier than expected. More than a year before his recent standoff with the Pentagon, Dario Amodei, the chief executive of Anthropic, published a 15,000-word manifesto describing a glorious AI future. Its title, "Machines of Loving Grace," is borrowed from a Richard Brautigan poem, but as Amodei acknowledged, with some embarrassment, its utopian vision bears some resemblance to science fiction. According to Amodei, we will soon create the first polymath AIs with abilities that surpass those of Nobel Prize winners in "most relevant fields," and we'll have millions of them, a "country of geniuses," all packed into the glowing server racks of a data center, working together. With access to tools that operate directly on our physical world, these AIs would be able to get up to a great deal of dangerous mischief, but according to Amodei, if they're developed--or "grown," as staffers at Anthropic are fond of saying--in the correct way, they will decide to greatly improve our lives. Amodei does not explain precisely how the AIs will accomplish this.
Rabbit's Cyberdeck is a modern take on a netbook
The company shares details about its new device with Engadget. Rabbit is preparing to release a new device later this year. When you think of an AI-forward PC, you might think of something like NVIDIA's $3,999 DGX Spark -- a computer with enough computing power to run complex large language models locally. That's not what Rabbit is trying to build with Project Cyberdeck. Instead, the company's goal is to produce a device tailored for vibe coding, and Engadget was given an exclusive first look at the upcoming PC.
The Download: Pokรฉmon Go to train world models, and the US-China race to find aliens
Plus: AI fakes of the Iran war are flooding X--and Grok is failing to flag them. Pokรฉmon Go was the world's first augmented-reality megahit. Released in 2016 by Niantic, the AR twist on the juggernaut Pokรฉmon franchise fast became a global phenomenon. "500 million people installed that app in 60 days," says Brian McClendon, CTO at Niantic Spatial, an AI company that Niantic spun out last year. Now Niantic Spatial is using that vast trove of crowdsourced data to build a kind of world model--a buzzy new technology that grounds the smarts of LLMs in real environments. The firm wants to use it to help robots navigate more precisely.
How Pokรฉmon Go is giving delivery robots an inch-perfect view of the world
Niantic's AI spinout is training a new world model using 30 billion images of urban landmarks crowdsourced from players. Pokรฉmon Go was the world's first augmented-reality megahit. Released in 2016 by the Google spinout Niantic, the AR twist on the juggernaut Pokรฉmon franchise fast became a global phenomenon. From Chicago to Oslo to Enoshima, players hit the streets in the urgent hope of catching a Jigglypuff or a Squirtle or (with a huge amount of luck) an ultra-rare Galarian Zapdos hovering just out of reach, superimposed on the everyday world. "Five hundred million people installed that app in 60 days," says Brian McClendon, CTO at Niantic Spatial, an AI company that Niantic spun out in May last year. According to the video-game firm Scopely, which bought Pokรฉmon Go from Niantic at the same time, the game still drew more than 100 million players in 2024, eight years after it launched.
'I wish I could push ChatGPT off a cliff': professors scramble to save critical thinking in an age of AI
'I wish I could push ChatGPT off a cliff': professors scramble to save critical thinking in an age of AI Lea Pao, a professor of literature at Stanford University, has been experimenting with ways to get her students to learn offline. She has them memorize poems, perform at recitation events, look at art in the real world. It's an effort to reconnect them to the bodily experience of learning, she said, and to keep them from turning to artificial intelligence to do the work for them. "There's no AI-proof anything," Pao said. "Rather than policing it, I hope that their overall experiences in this class will show them that there's a way out."
The Download: AI's role in the Iran war, and an escalating legal fight
Plus: GPS jamming has become an invisible battle in the Middle East. Much of the spotlight on AI in the Iran conflict has focused on models like Claude helping the US military decide where to strike. But a wave of "vibe-coded" intelligence dashboards--and the ecosystem surrounding them--reflect a new role that AI is playing in wartime: mediating information, often for the worse. These sorts of intelligence tools have much promise. Yet there are real reasons to be suspicious of their data feeds. The AI firm wants to stop the Pentagon from blacklisting it.
What Anthropic's Clash With the Pentagon Is Really About
What Anthropic's Clash With the Pentagon Is Really About Who will take responsibility for the technology? The weekslong conflict between Anthropic and the Department of Defense is entering a new phase. After being designated a supply-chain risk by DOD last week, which effectively forbids Pentagon contractors from using its products, the AI company filed a lawsuit against DOD this morning alleging that the government's actions were unconstitutional and ideologically motivated. Then, this afternoon, 37 employees from OpenAI and Google DeepMind--including Google's chief scientist, Jeff Dean--signed an amicus brief in support of Anthropic, in essence lending support to one of their employers' greatest business rivals (even as OpenAI itself has established a controversial new contract with DOD). For the past few weeks, Anthropic has been in heated negotiations with the Pentagon over how the U.S. military can use the firm's AI systems.
How AI firm Anthropic wound up in the Pentagon's crosshairs
This week has brought more chaos in the feud between the Pentagon and Anthropic. This week has brought more chaos in the feud between the Pentagon and Anthropic. How AI firm Anthropic wound up in the Pentagon's crosshairs U ntil recently, Anthropic was one of the quieter names in the artificial intelligence boom. Despite being valued at about $350bn, it rarely generated the flashy headlines or public backlash associated with Sam Altman's OpenAI or Elon Musk's xAI. Its CEO and co-founder Dario Amodei was an industry fixture but hardly a household name outside of Silicon Valley, and its chatbot Claude lagged in popularity behind ChatGPT.
How an intern helped build the AI that shook the world
Chris Maddison was just an intern when he started working on the Go-playing AI that would eventually become AlphaGo. In March 2016, Google DeepMind's artificial intelligence system AlphaGo shocked the world. In a stunning five-match series of Go, the ancient Chinese board game, the AI beat the world's best player, Lee Sedol - a moment that was televised in front of millions and hailed by many as a historic moment in the development of artificial intelligence. Chris Maddison, now a professor of artificial intelligence at the University of Toronto, was then a master's student and helped get the project off the ground. Alex Wilkins: How did the idea for AlphaGo first come about?