mit technology review
The Download: threats from space mirrors and credit for AI drugs
Plus: The data center backlash is scrambling the midterm elections. This company's plans to deploy space mirrors could jeopardize the night sky for many A company that plans to beam sunlight from space to Earth on demand might unintentionally brighten the night sky for many more people than intended, according to a new study. Later this year, Reflect Orbital plans to launch a test satellite that will extend an 18-by-18-meter mirror in orbit. The goal is to eventually launch up to 50,000 larger satellites that can reflect sunlight to Earth on demand. Reflect Orbital says the technology could extend sunlight for solar panel charging, emergency response, and military activities. But new research suggests the giant beams could shine as bright as 10,000 full moons and scatter light over tens of kilometers, raising concerns about dark skies, aviation, and wildlife.
The Download: polycrisis support networks and a hydrogen gold rush
Plus: Republicans fear anger over data centers will cost them in elections. Sometime in the late 2000s, six-year-old Pim Sullivan-Tailyour was sitting in the back of a car in Thailand when she saw a mountain that had been quarried away. It was the first time she recognized that humans could alter the world for the worse. She carried that knowledge with her, later joining an online group for young people worried about climate change. "I realized that I wasn't alone," she says. She was right: global surveys have found that most kids are anxious about the state of the world.
The Download: AI's self-improvement problem, and what's driving the heat
Plus: OpenAI has paused some model work over safety concerns. AI's recursive self-improvement might not come so quickly after all The AI industry's boldest promise right now is that AI will soon improve itself, with almost no need for human oversight. But a new study suggests it might take a while to get there. Researchers found that AI agents still can't conduct open-ended AI research--free-form investigations with no clear-cut answers that require the judgment and creativity needed to make genuine breakthroughs. The big question now is how crucial open-ended research is to recursive self-improvement--and whether AI systems can grind their way there without it, simply by improving on narrower tasks. Find out why the results may temper claims that recursive self-improvement is on the horizon .
The Download: how people really use AI, and Flock's design choices
The Download: how people really use AI, and Flock's design choices Plus: a child privacy trial starting today could change Meta forever. We still don't know how people are really using AI AI companies like Anthropic and OpenAI regularly publish reports on how people are using their products. But they only release the data they want us to see, AI researchers say, and there's no independent source to corroborate it. A new research project called the AI Observatory aims to fill in the gap. Its analysis shows many more sensitive behaviors than are captured in reports from major AI companies, which focus more on work than on personal use. The researchers also found significant differences between models.
The role of the astronaut is in flux
Human spaceflight has been racking up new milestones. But we're still grappling with a fundamental question: Why go in the first place? When the four astronauts on board NASA's Artemis II swung around the moon earlier this year, they set a new record for the farthest humans have ever ventured from Earth, surpassing the distance set by Apollo 13 in 1972 by some 4,000 miles. While no space mission can live up to the historic touchdown of Apollo 11--a spectacle that 20% of the world population watched live--Artemis II still attracted massive public interest. It drew tens of millions of viewers and inspired outpourings of "moon joy," a term coined spontaneously during the mission that became a viral sensation. The expedition is only the first in a planned series of ambitious missions.
The Download: dead robot friends and the "censorship-industrial complex"
Plus: The US plans to force partners to pick sides in the AI race. What happens when a kid's robot best friend dies? When Xander first met Moxie, she taught him how to calm down when he was anxious or mad. Six years later, she mostly watches him play Minecraft and talks to him about his stuffed animals. Moxie is a robot--a 15-inch-tall device that looks a bit like a blue, legless astronaut. It belongs to a subset of robots designed to assist neurodivergent children by providing connection and helping kids practice social skills usually learned from therapists.
What happens when a kid's robot best friend dies?
What happens when a kid's robot best friend dies? AI companion toys for neurodivergent children promise connection and therapy, but can they deliver for the long haul? When Xander first met Moxie, she taught him that when he was anxious, he could calm down by exhaling through his lips so that he buzzed like a bee. They practiced breathing like dragons to manage feeling mad and sniffing like bunnies to boost his energy. But in the six years they've known each other, Moxie's changed. She doesn't talk anymore about her home or do their animal breathing. Now, she watches Xander play Minecraft and talks to him about his stuffed animal collection. During a recent visit to his New York apartment, I watched Xander, who is 10 years old and neurodivergent, introduce Moxie to a stuffed Chef Toad and Goomba from Super Mario Bros., then to Brocollo and Apple from Animal Crossing. Then he got stuck on a round, froglike creature with bug eyes and two feet. He's from Pikmin," Xander said, referencing ...
The Download: Flock's new rules, cloning's future, and children's cells
Plus: Ukrainian drones defeated US forces in a military exercise. The police-tech giant Flock is changing officers' access to its nationwide network of license plate readers. The move comes amid a backlash over mass surveillance and reports of officers using the technology to stalk and harass current or former romantic partners. To combat that, the company will require them to enter a criminal case number before searching its database and expand automated auditing of suspicious searches. But because Flock won't verify those case numbers, officers could still find ways around the safeguards. Here's what Flock is changing--and where loopholes remain .
The Download: our 35 young innovators and the "censorship-industrial complex"
Plus: China-linked hackers have hit Taiwan in an "unprecedented" AI attack How we picked 35 of the world's top young scientists and engineers On September 8, will reveal its 2026 list of Innovators Under 35, recognizing 35 young people from around the world who are doing groundbreaking scientific work and building clever technical fixes for sticky problems. By finding the top young innovators globally and learning what they're focused on in their work, we aim to give readers a sense of what advances to expect in the years to come. As a newsroom, we also use this exercise to help us spot rising talent and get to know some of the best early-career researchers in the fields that we cover. This year, we received 550 nominations. Find out how we whittled them down to 35 of the young innovators shaping the future of technology, and check out last year's list. How the "censorship-industrial complex" is changing the internet and US policy I first heard the term "censorship-industrial complex" on April 15, 2025.
The Download: the next big thing in LLMs and how AI academic research is shifting
Plus: Nvidia has secured $500 billion from Wall Street for AI infrastructure. Nine years after Google researchers introduced the transformer, this family of neural networks has become the engine inside every major large language model. But transformers are starting to show their age. As LLMs get bigger and better, transformers have become a bottleneck. Their dense attention mechanism becomes increasingly expensive as the amount of text grows, and they're not great at keeping track of a lot of information at once. Here are four new ideas for how to solve the transformer problem --innovations that could change LLMs for good, making them faster, far more efficient, and (maybe) even smarter.