Plus: Space data centers don't exist yet, but people already oppose them. Supercooled kidneys have been transplanted into pigs in a "landmark achievement" When it comes to organ donation, time is everything. As soon as an organ has been removed from a donor's body, it starts to deteriorate. Surgeons have only a matter of hours to get it into a recipient. In most cases, organs will be kept on ice during that time, at around 4 C (39 F). They cannot be frozen--in previous attempts, ice has formed, causing all kinds of damage.

Plus: Why the OpenAI hack is the scariest AI mishap yet. The power line that could reshape New York's grid is hitting snags During a heat wave on July 3, New York State's grid imported enough electricity from Canada to meet about 9% of its total demand that day. Some of that power shuttled in on a 339-mile power line stretching from Quebec to Queens. It opened in May and is officially the longest underground transmission line in North America. It could provide up to 20% of New York City's electricity demand, largely with abundant hydropower from Quebec. One wrinkle: The line has been down for most of this month, and some experts are concerned about how drought will affect the power supply feeding it.

As generative AI captures public attention, a different kind of AI is reshaping drug discovery. Machine learning models are helping to compress decade-long timelines and cracking problems that were previously unsolvable. Designing and developing a new medicine is an expensive, failure-prone scientific challenge. A new drug can take many years to develop, at the cost of a significant investment. And even then, most possible candidates never reach the patient. For biologic medicines, therapies made from engineered proteins rather than synthetic chemistry (which are often used to treat conditions across most major acute and chronic diseases), the complexity is even greater.

Plus: France has become the first EU country to ban social media for under-15s. Shape-shifting mirrors on NASA's new space telescope could unveil Jupiters like our own When NASA's Nancy Grace Roman Space Telescope launches, as early as the end of next month, it will attempt one of astronomy's most precise disappearing acts to date. It will carry the first space-bound "active" coronagraph, an instrument that effectively erases most of the light from a star during photography. The technology will allow astronomers to take the first pictures of planets orbiting other stars that are similar to those in our solar system. Ultimately, it could pave the way for a future mission that could snap the first photos of Earth-like worlds. "I hope it's remembered for it being that critical stepping stone for finding Earth 2.0," says Brandon Creager, the instrument's lead mechanical engineer.

China's AI models have Trump's AI world at war with itself David Sacks branded Anthropic's models "lobotomized" and "woke." Emil Michael, a top Pentagon official, called OpenAI's new head of strategic futures a "supreme village idiot." It began because no one can agree on what to do about Kimi, a free, open-source model that Chinese AI company Moonshot launched last week. It appears to rival the intelligence of models from OpenAI and Anthropic, which are very much not free. Every time a new smart, free model from China gets released, US companies see less reason to fork out money for models from Anthropic or OpenAI. Read the full story on why no one can agree what to do about Kimi .

As artificial intelligence pushes semiconductors and data centers to new physical limits, advances in materials science are becoming essential to sustaining the pace of innovation. The conversation about AI often centers on algorithms, computing power, or huge investments in new semiconductor fabrication plants and hyperscale data centers. But beneath each of these advances is another layer of innovation that makes them possible: advanced materials. Every increase in computing performance increases the physical demands placed on the systems that make and run AI. Delivering these gains depends not only on advances in chip design and system architecture, but on advances in the materials that enable them to perform under extreme conditions. As AI continues to push the physical limits of semiconductors and data center infrastructure, advanced materials are no longer simply supporting innovation in this area; they are defining the limits of what is possible.

China's AI models have Trump's AI world at war with itself Kimi and other free models from China have again been seen as a wake-up call. David Sacks, the president's AI and crypto "czar" until March, branded Anthropic's models as "lobotomized" and "woke." Emil Michael, a top Pentagon official, called OpenAI's new head of strategic futures a "supreme village idiot." It began because no one can agree on what to do about Kimi, a free, open source model that Chinese AI company Moonshot launched last week. It appears to rival the intelligence of models from OpenAI and Anthropic, which are very much not free. Kimi and other Chinese models like it pose a real problem for Trump.

Plus: SpaceX is negotiating to sell the Pentagon AI compute. The next time you apply for a job, AI may screen your résumé before any human sees it. But there's good reason to question whether AI will judge you fairly. We already know that LLMs pick up human biases from their training data. New research suggests they can also develop their own biases from experience--and stereotype job applicants more than humans do. As AI companies race to build agentic models that remember the tiniest details about users, they may be handing them ammunition for forming those biases.

The next time you apply for a job, AI may screen your résumé before any human sees it. But there's good reason to question whether AI will judge you fairly. Researchers already know that LLMs pick up human biases from their training data. New research suggests that LLMs can also develop their own biases from experience--and stereotype job applicants more than humans do. As AI companies race to build agentic models that remember the tiniest details about users, they may be handing them ammunition for forming those biases.

Plus: New York has become the first state to enact a data center moratorium. When Anthropic announced last week that it had found a new window into its models' "internal thoughts" as they reason through answers, there was one colleague I had to talk to: senior editor Will Douglas Heaven. Aside from having a PhD in computer science, Will has spent a lot of time digging into what we can say about how AI models work. I spoke with him about what we should take from Anthropic's new (and typically quirky) research. Here's what he had to say . How will AI understand the real world?