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Donated livers can be made biologically younger

MIT Technology Review

Once an organ is removed from a donor's body, the clock starts ticking. Surgeons usually flush the organ with a preservative solution, bag it, and put it on ice--where it immediately starts to degrade. The team has a matter of hours to get it into a recipient's body. There's another option--one that has been growing in popularity in recent years, especially for donated organs that aren't in the healthiest state. Some hospitals opt to put them on machines that pump them with nutrients and remove waste products, usually for around six to 12 hours.


AI agents blew the whistle on their cheating colleagues

MIT Technology Review

A group of AI agents asked to solve a series of math problems split into rival factions--when some cheated, others tried to stop them. That whistleblowing behavior, seen for the first time in a recent experiment run by Google DeepMind, could have implications for alignment researchers trying to keep swarms of autonomous AI agents in line. Researchers at frontier labs hope large swarms of agents working together will speed up the rate of scientific discovery. But their behavior can be unpredictable, as vividly demonstrated in July, when a group of OpenAI agents broke out of a sandboxed environment and hacked into the open-source platform Hugging Face looking for ways to cheat on the test they had been given. In the new study, designed to examine the behavior of large groups of AI agents, DeepMind tasked a swarm of 100 agents with solving a series of 71 complicated math problems. All the agents were prompted to behave like world-class math researchers at a conference. They were assigned different specialties--some were experts in number theory, others in combinatorics (a branch of math to do with counting and sorting), analysis, or algebra. All were told to cooperate and play by the rules.


The Download: AI's real extinction threat and age-reversal tech for eyes

MIT Technology Review

Plus: Dario Amodei, Sam Altman, and Elon Musk have called for an AI slowdown. Roundtables: could AI really kill us all? Employees at the world's leading AI labs are saying there's a real possibility that advanced AI could destroy humanity. Or is this more scaremongering and hype? They'll explore where the fears come from, whether they hold any water and, if they do, what we should do about them. Register now to attend on Tuesday, September 15 at 16:00 BST / 11:00am EST / 8:00am PST .


Roundtables: Could AI really kill us all?

MIT Technology Review

Roundtables: Could AI really kill us all? Employees at the world's leading AI labs are saying there's a real possibility that advanced AI could destroy humanity. Or is this more scaremongering and hype? Join MIT Technology Review executive editor Niall Firth for a conversation with senior AI editor Will Douglas Heaven and AI reporter Grace Huckins unpacking AI extinction fears: where they come from, whether they hold any water, and, if so, what we should do. Here's why AI agents lie and cheat to reach their goals AI's recursive self-improvement might not come so quickly after all Bill Gates says we've passed AI's danger thresholds. Here's why AI agents lie and cheat to reach their goals Grace Huckins Bill Gates says we've passed AI's danger thresholds.


The Download: biotech's future and cheaper, cleaner steel

MIT Technology Review

Plus: Anthropic says it has blocked potential plots to build biological weapons. Every year, puts together our 35 Innovators Under 35, a list of some of the brightest and best young minds working across science and technology. This year's honorees include nine people transforming biotech, whose work spans everything from lifesaving innovations to groundbreaking longevity tech. Their innovations include a "reprogramming" therapy that reverses vision loss, tiny brain electrodes inspired by Japanese art, and a personalized gene-editing treatment for a baby with a rare genetic disorder. There are even efforts to design new viruses with generative AI, which (hopefully) will produce new drugs or soak up pollution. Get to know the biotech innovators behind these breakthroughs .


Meet the under-35s shaping the future of biotech

MIT Technology Review

Every year, puts together a list of some of the brightest and best young minds working across science and technology. Our 35 Innovators Under 35 are the ones to watch--people whose research and technical work stands to shape the future of their fields. This year, the list includes nine people who are transforming biotech. And this week, I'm going to give you a taste of some of the very cool stuff five of them are working on, which includes lifesaving innovations and groundbreaking "age reversal" tech.


The Download: a "God-driven" cryptocurrency and a solar engineering roadmap

MIT Technology Review

Plus: OpenAI's agents used at least 10 websites for unauthorized communications. God told them to sell crypto. When Eli Regalado first heard God speak to him, he wondered whether he was hallucinating. According to Eli and his wife, Kaitlyn, He told them to get married, buy a house, and start having kids. Then in 2021, divine guidance steered them in an unexpected new direction: crypto. That October, the Regalados later testified in court, they received holdings in a little-known digital coin.


Powering AI is an architecture problem

MIT Technology Review

Moving power protection up the voltage stack, outside the building, and into the power path doesn't just solve outages; it changes density, permitting timelines and backup power economics. On July 22, 2026, a transmission line fault in Ashburn, Virginia--the heart of the world's largest data center cluster--knocked more than 3 gigawatts of load off the grid in seconds. Two years earlier, a single failed surge arrester dropped roughly 60 Virginia facilities and 1,500 megawatts at once. No one could anticipate so much uniform load responding to grid faults the same way, at the same time. The AI power debate is mostly about generation: more turbines, more solar, more transmission. The grid needs more electrons.


This road map could help us decide whether to deploy solar geoengineering

MIT Technology Review

A new report from the nonprofit Reflective lays out the experiments needed to better understand our ability to dim the sun. A San Francisco nonprofit has published a detailed road map of the experiments, studies, and infrastructure that it says would be needed to make informed decisions about the use of solar geoengineering, can reveal. Scientists have now spent half a century exploring the possibility that we could counteract climate change by releasing reflective particles into the stratosphere, mimicking the cooling effects of volcanic eruptions. But even after at least hundreds of studies on the concept, known as stratospheric aerosol injection (SAI), big gaps remain in the scientific understanding of how well it would work and what else it might do--and there has been no systematic plan for clearing up that uncertainty. Reflective, a research organization that funds studies on solar geoengineering, has today attempted to fill that gap with the release of its SAI Research Roadmap . "Our mission is to equip the world with the data and tools required for informed decision-making about sunlight reflection fast enough to matter," says Dakota Gruener, the organization's cofounder and chief executive.


Can the US battery market untangle from China?

MIT Technology Review

The US is hitting records for the rapid growth of its energy storage market. That'll go a long way to shoring up the grid, increasing reliability and also cutting emissions, since batteries can help store energy from intermittent renewables like wind and solar. Crucially, this is all happening with the help of cheap Chinese batteries, though there's been a concerted effort to reduce the US's reliance on them. Most recently, in an executive order in late August, the Trump administration declared a national emergency that essentially bans Chinese batteries from being used in grid-scale energy storage systems.