It’s the latest effort by Republican attorneys general to thwart dozens of climate litigation cases.

The city comptroller had said the asset manager was failing on climate change and should be fired, but the pension board tabled action.

The officials warned the Government Accountability Office of no “clear, consistent, and accurate guidance.”

A group of lawmakers who represents flood-affected areas helped craft a major Federal Emergency Management Agency reform bill.

The complaint takes aim at how solar or wind projects are deemed to have started construction.

The country's pledges to cut emissions by 60 percent by 2035 from 2013 levels fall short of what’s required and “threaten our lives,” according to a summary of the complaint.

Environmentalists and data experts said India’s air quality measurement standards are looser than countries such as the United States, so moderate readings often disguise dangerous pollution levels.

The more than 250,000 refugees fled violence and instability at home in Mali.

The decision comes amid a rise in the damage done to physical assets by floods, storms and wildfires.

Students can take many possible routes through MIT’s curriculum, which can zigag through different departments, linking classes and disciplines in unexpected ways. With so many options, charting an academic path can be overwhelming, but a new tool called NerdXing is here to help.

The brainchild of senior Julianna Schneider and other students in the MIT Schwarzman College of Computing Undergraduate Advisory Group (UAG), NerdXing lets students search for a class and see all the other classes students have gone on to take in the past, including options that are off the beaten track.

“I hope that NerdXing will democratize course knowledge for everyone,” Schneider says. “I hope that for anyone who's a freshman and maybe hasn't picked their major yet, that they can go to NerdXing and start with a class that they would maybe never consider — and then discover that, ‘Oh wait, this is perfect for this really particular thing I want to study.’”

As a student double-majoring in artificial intelligence and decision-making and in mathematics, and doing research in the Biomimetic Robotics Laboratory in the Department of Mechanical Engineering, Schneider knows the benefits of interdisciplinary studies. It’s a part of the reason why she joined the UAG, which advises the MIT Schwarzman College of Computing’s leadership as it advances education and research at the intersections between computing, engineering, the arts, and more.

Through all of her activities, Schneider seeks to make people’s lives better through technology.

“This process of finding a problem in my community and then finding the right technology to solve that — that sort of approach and that framework is what guides all the things I do,” Schneider says. “And even in robotics, the things that I care about are guided by the sort of skills that I think we need to develop to be able to have meaningful applications.”

From Albania to MIT

Before she ever touched a robot or wrote code, Schneider was an accomplished young classical pianist in Albania. When she discovered her passion for robotics at age 13, she applied some of the skills she had learned while playing piano.

“I think on some fundamental level, when I was a pianist, I thought constantly about my motor dynamics as a human being, and how I execute really complex skills but do it over and over again at the top of my ability,” Schneider says. “When it came to robotics, I was building these robotic arms that also had to operate at the top of their ability every time and do really complex tasks. It felt kind of similar to me, like a fun crossover.”

Schneider joined her high school’s robotics team as a middle schooler, and she was so immediately enamored that she ended up taking over most of the coding and building of the team’s robot. She went on to win 14 regional and national awards across the three teams she led throughout middle and high school. It was clear to her that she’d found her calling.

NerdXing wasn’t Schneider’s first experience building new technology. At just 16, she built an app meant to connect English-speaking volunteers from her international school in Tirana, Albania, to local charities that only posted jobs in Albanian. By last year, the platform, called VoluntYOU, had 18 ambassadors across four continents. It has enabled volunteers to give out more than 2,000 burritos in Reno, Nevada; register hundreds of signatures to support women’s rights legislation in Albania; and help with administering Covid-19 vaccines to more than 1,200 individuals a day in Italy.

Schneider says her experience at an international school encouraged her to recognize problems and solutions all around her.

“When I enter a new community and I can immediately be like, ‘Oh wait, if we had this tool, that would be so cool and that would help all these people,’ I think that’s just a derivative of having grown up in a place where you hear about everyone’s super different life experiences,” she says.

Schneider describes NerdXing as a continuation of many of the skills she picked up while building VoluntYOU.

“They were both motivated by seeing a challenge where I thought, ‘Wait, we have the tech skills to build that. This is something that I can envision the solution to.’ And then I wanted to actually go and make that a reality,” Schneider says.

Robotics with a positive impact

At MIT, Schneider started working in the Biomimetic Robotics Laboratory of Professor Sangbae Kim, where she has now participated in three research projects, one of which she’s co-authoring a paper on. She’s part of a team that tests how robots, including the famous back-flipping mini cheetah, move, in order to see how they could complement humans in high-stakes scenarios.

Most of her work has revolved around crafting controllers, including one hybrid-learning and model-based controller that is well-suited to robots with limited onboard computing capacity. It would allow the robot to be used in regions with less access to technology.

“It’s not just doing technology for technology's sake, but because it will bridge out into the world and make a positive difference. I think legged robotics have some of the best potential to actually be a robotic partner to human beings in the scenarios that are most high-stakes,” Schneider says.

Schneider hopes to further robotic capabilities so she can find applications that will service communities around the world. One of her goals is to help create tools that allow a surgeon to operate on a patient a long distance away. 

To take a break from academics, Schneider has channeled her love of the arts into MIT’s vibrant social dancing scene. This year, she’s especially excited about country line dancing events where the music comes on and students have to guess the choreography.

“I think it's a really fun way to make friends and to connect with the community,” she says.

MIT Director of Dining Andrew Mankus has been serving the Institute community since his arrival on campus in June. He brings a wealth of energy and experience — and a problem-solver’s sensibilities — to food service at MIT. Most recently, he led dining at the University of Massachusetts at Amherst, which has won the top prize in student dining nine years in a row. Prior to that, Mankus worked in civic centers and large commissaries, among other dining environments. In this Q&A, Mankus speaks about what makes a standout dining environment on a college campus, his tenure so far at MIT, and some dining plans for the near future.

Q: What’s the secret sauce to success in academic dining?

A: You start with the obvious thing: The food’s got to be good. You can’t just serve pizza and chicken tenders, but you also can’t leave them out — students want and need their comfort food. 

Students also want food that’s authentic. The dining hall is like their home away from home on campus. So if you’re calling something “Northern Indian,” it can’t taste like Southern Indian, because the student from Northern India knows exactly how it’s supposed to taste. And if someone tells me it doesn’t taste like what they had at home, I need to ask, “How should it taste? Let’s talk to our chefs.” Students should see that we’re willing to do that, willing to go there for them. 

Collegiate dining is not like anything else in the food industry, because we are an integral part of the whole campus-life experience. We look at how dining can help build community around food and how to elevate cultural aspects and authenticity through food. 

Q: How do you manage authenticity at a large scale? 

A: It sounds silly, but it’s really one meal at a time. But as somebody who comes from an operations background, it’s also about standard operating procedures. We follow recipes, we know how many people are coming through the door, we know how much to prep — a whole bunch of things. You need to know how many students like certain things and how to be ready for them — so when you’re cooking things like stir fries, students can customize their own ingredients. It turns out you can cook something hot and fresh and make it authentic at the same time. 

I like to tell people I didn’t go to school for culinary. I went to school for management. So basically, I’m a professional problem-solver. I just found my passion in food service. I like to solve problems, and MIT likes to solve problems. What better place to have this skill set? 

Q: What were your first impressions of dining at MIT?

A: The thing about MIT is: The product is here. We just need to do the things we should be doing here — like integrating technology, providing service, updating meal plans, and the like — and do them better. There’s nothing Earth-shattering about it. We just need to elevate our program to new levels. 

I will say, the geography of MIT’s campus is a real challenge. Many colleges have dining programs that are built around concentrated residential housing. This lets them serve a lot of meals in fewer locations. MIT has 11 dorms spread across campus. There are six dining halls and a dozen retail locations. Students who live on the west side of campus are often on east campus, away from their dining halls and meal plans, for most of the day. It’s a complicated landscape, and none of it is easy to change. 

Q: What are your biggest lessons so far?

A: To start with: Every college student has limited time, and MIT students are certainly busy. In addition to course work, pretty much everybody is involved in an extracurricular activity or athletics for a couple of hours. 

This is where campus dining can help. When students only have a 30-minute window between classes, we need to figure out how to feed them. If we can figure this out, it’s a win — and if we can do that with their meal plan, they’ll be more likely to eat on campus.

I’m also starting to understand MIT students’ value equation. That’s always the No. 1 thing — and I’m not just talking about the price of a meal plan. Value could mean a lot of different things. It definitely could be the cash, but it could also be quality, access, nutrition, convenience, operating hours, using swipes — whatever. I want to know how to make their meal plan as valuable to them as possible. 

I don’t have the data for MIT just because I haven’t been here long enough, but it’s broadly true that college students eat a little more often than four times a day. They snack. They graze. Here, students don’t have the same options because of their schedules, the meal plans, and geography. We need to figure out where MIT students are and try to meet them there. 

Basically, I want campus dining to lead with a students-first mentality. Does this or that idea bring value? Does it contribute to campus life and the student experience? If the answer is yes, then we move on to the next step. Let’s put all the ideas on the table, and let’s be transparent and tell the students: There are going to be things we try that work, and some things we try that might not. 

Q: What’s an example of something you’ve tried since you got here? 

A: I’ll give you three. First, we started a new grab-and-go lunch program in Baker. That’s very popular. 

Second, we ran a promotion to give away MIT Dining Dollars to students on the meal plan and to students in cook-for-yourself locations. It was basically to provide more value in the meal plan and raise awareness about Dining Dollars, which students can use at any dining hall or retail location on campus and the Concord Market. When I met with students about it, they asked me: “What's the catch?” I told them, “It’s pretty simple. I want you to eat with us. I don’t want you to go across the street.” Also, it helps build morale with dining staff. People get into dining to make food for people to eat. They don’t make food so people can throw it away.

Third, we’re starting a student ambassador program. They will be an extension of our management team and will help us tell the story of campus dining through the lenses of students — how things are going on campus or in their houses. 

Q: Do you have plans for working with graduate students at MIT? 

A: This is a huge area of opportunity for dining at MIT. Graduate students are not on meal plans, because the plans don’t fit their needs, but many of them live on or near campus. What if there was some kind of pilot program that was more Dining Dollar-based, where it suits a graduate student and their family, or it doesn’t expire and can be very portable? I’m pretty sure we can come up with something that fits their needs better than grocery shopping and cooking for yourself in Cambridge. 

Q: What’s your favorite thing to cook? 

A: Lately, it’s been a chicken fricassee. It’s my wife’s father’s recipe. It’s Hungarian, like a paprikash chicken. You boil onions and water for a really long time and load it up with paprika. It takes hours to make. But when you do it right, it’s really, really good. 

This is an edited version of an article first published by the MIT Division of Student Life.

In a field defined by discovering, designing, and processing the materials that underpin modern technology, Diran Apelian ScD ’73 has a resounding message: Reuse can’t remain just the focus of a PhD thesis or a startup. It needs to be engineered from the beginning.

Apelian, a metallurgist and MIT alumnus known for his pioneering work in molten metal processing, framed his plea with a look at society’s growing needs for materials like copper, nickel, iron, and manganese — and how demand for them has surged alongside population growth over the past 150 years.

“We’re using more and more stuff — that’s the takeaway,” said Apelian, the speaker for the MIT Department of Materials Science and Engineering (DMSE)’s Wulff Lecture on Nov. 19. “Now, where’s all this stuff coming from? It doesn’t come from Home Depot. It comes from the Earth — planet Earth — where we take the ores out of the Earth, and we have to extract them out.”

And more and more everyday goods depend on those ores, depleting the planet’s supplies while expending massive amounts of energy to do it, Apelian said. As one example, Apelian pointed out that computer chips, which incorporated 11 elements in 1980, now contain 52.

Instead of simply taking, processing, and eventually discarding materials — often after passing them through inefficient recycling systems — Apelian proposes another approach: designing materials and products so that the value inside them can be recovered.

Examples include aerospace-grade materials made from scrap aluminum alloys, optimized using AI-driven alloy blending, and shredding lithium-ion batteries to produce “black mass,” a mixture rich in cobalt, nickel, and lithium that can be refined into new cathode materials for the next generation of batteries.

“Sustainable growth, sustainability, the development of the planet Earth is a challenge,” said Apelian — one that materials scientists and engineers are in a prime position to tackle. “It’s a profound change, but it requires material issues and challenges that are also an opportunity for us.”

Reshaping materials design

The Wulff Lecture is no stranger to sustainability and climate issues — past speakers have discussed green iron and steel production and hydrogen-powered fuel cells. But what marked Apelian’s talk was a call for an overhaul of how materials are produced, used, and — crucially — used again. The key, he said, is “materials circularity,” which keeps Earth-derived minerals moving through the economy as long as possible, instead of being extracted, processed, used, and thrown away.

Apelian referenced the “materials tetrahedron,” the classic framework connecting processing, structure, properties, and performance — the foundation underlying the development of most materials around us. Highlighting what’s missing, he asked DMSE students about materials at the end of their life cycle: “You don’t really spend too much time on it, right?”

He proposed a new framework of concentric circles that reimagines the materials life cycle — from mining, extraction, processing, and design, to new phases focused on repair, reuse, remanufacturing, and recycling — “all the R’s,” he said.

One pathway to more sustainable materials use, Apelian said, is tackling post-consumer waste — the everyday products people throw away once they’re done using them.

“How can we take the waste and recover it and reuse it?” Apelian asked.

One example is aluminum scrap processing, which has seen several advances in recent years. Traditionally, end-of-life vehicles were stripped of valuable parts and fed through giant shredders; the resulting mix of metals were melted together, forfeiting much of its engineered value, and “downcycled” into cast alloys used for products like engine blocks or patio furniture.

Today, advancements in automated sensor-based sorting, machine learning and robotics, and improved melting practices mean aluminum scrap can now be directed into higher-value applications, including aerospace components and structural automotive parts — beams and supports that form a vehicle’s frame.

“So that’s the aim, that’s the motivation: creating value out of waste,” Apelian said.

He highlighted ongoing efforts to modernize scrap processing. He is a co-founder of Solvus Global Inc., which develops systems to convert metal scrap into high-value products, and Valis Insights, a Solvus spinout that uses sensor-based systems to identify and sort metal scraps with high precision.

At the University of California at Irvine — where Apelian serves as distinguished professor of materials science and engineering — his group is “studying the DNA” of mixed scrap, analyzing and testing blends to prepare them for high-value applications. He has also done significant work in lithium-ion battery recycling, including co-inventing the process, commercialized by Ascend Elements, that shreds batteries and produces as a byproduct the black mass used as feedstock for new cathode materials.

Believing in circularity

Apelian also pointed to ways of extracting value from industrial waste: recovering metals from red mud — the highly alkaline byproduct of aluminum production — and reclaiming rare-earth elements from mine tailings. And he spotlighted the work of Shaolou Wei ScD ’22, a DMSE alum joining the faculty in 2026, who has developed ways to bypass the long, energy-intensive sequences traditionally used to make many alloys — reducing energy consumption and eliminating processing steps.

Stressing that business models and policy play a critical role in enabling a circular economy, Apelian offered a scenario: “Right now, in America, when you buy a car, it’s yours. At the end of life, it’s your problem.” Owners can trade it in or sell it, but ultimately, they need to dispose of it, he said. He then mused about reversing this responsibility — requiring manufacturers to take cars back at end of life. “I’ve got to tell you, when that happens, things are going to be designed very differently.”

Audience member Evia Rodriguez, a senior in materials science and engineering, was struck by Apelian’s emphasis on circularity. She pointed to Patagonia — one of Apelian’s examples — as a company weaving circularity into its business model by encouraging customers to repair clothing instead of replacing it.

“That definitely represents an optimistic idea of what could happen,” Rodriguez said. “I tend to be more skeptical, but I like to think that we could get there someday, and that we could have all companies operating on a more sustainable front.”

First-year undergraduate Brandon Mata shared a similar outlook — balancing doubt with hope. “I think it’s easy to be pessimistic about how companies are going to act. You’re going to say people are always going to be greedy. They’re going to be selfish,” Mata said. “But regardless, I think it’s still important to have somebody like that saying, even just stating, ‘It’s important that we do this, and doing this would clearly benefit the world.’”

Yanna Tenorio, a first-year undergraduate who’s interested in the energy side of materials science, zoomed out to the overarching questions raised in the talk. “Thinking about what happens at the end of these materials’ life, how can they be reused? How can we take accountability for them?” Tenorio asked. “What I find very exciting about material science in general is how much there is to be discovered.”

Even networks long considered “untrainable” can learn effectively with a bit of a helping hand. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a brief period of alignment between neural networks, a method they call guidance, can dramatically improve the performance of architectures previously thought unsuitable for modern tasks.

Their findings suggest that many so-called “ineffective” networks may simply start from less-than-ideal starting points, and that short-term guidance can place them in a spot that makes learning easier for the network. 

The team’s guidance method works by encouraging a target network to match the internal representations of a guide network during training. Unlike traditional methods like knowledge distillation, which focus on mimicking a teacher’s outputs, guidance transfers structural knowledge directly from one network to another. This means the target learns how the guide organizes information within each layer, rather than simply copying its behavior. Remarkably, even untrained networks contain architectural biases that can be transferred, while trained guides additionally convey learned patterns. 

“We found these results pretty surprising,” says Vighnesh Subramaniam ’23, MEng ’24, MIT Department of Electrical Engineering and Computer Science (EECS) PhD student and CSAIL researcher, who is a lead author on a paper presenting these findings. “It’s impressive that we could use representational similarity to make these traditionally ‘crappy’ networks actually work.”

Guide-ian angel 

A central question was whether guidance must continue throughout training, or if its primary effect is to provide a better initialization. To explore this, the researchers performed an experiment with deep fully connected networks (FCNs). Before training on the real problem, the network spent a few steps practicing with another network using random noise, like stretching before exercise. The results were striking: Networks that typically overfit immediately remained stable, achieved lower training loss, and avoided the classic performance degradation seen in something called standard FCNs. This alignment acted like a helpful warmup for the network, showing that even a short practice session can have lasting benefits without needing constant guidance.

The study also compared guidance to knowledge distillation, a popular approach in which a student network attempts to mimic a teacher’s outputs. When the teacher network was untrained, distillation failed completely, since the outputs contained no meaningful signal. Guidance, by contrast, still produced strong improvements because it leverages internal representations rather than final predictions. This result underscores a key insight: Untrained networks already encode valuable architectural biases that can steer other networks toward effective learning.

Beyond the experimental results, the findings have broad implications for understanding neural network architecture. The researchers suggest that success — or failure — often depends less on task-specific data, and more on the network’s position in parameter space. By aligning with a guide network, it’s possible to separate the contributions of architectural biases from those of learned knowledge. This allows scientists to identify which features of a network’s design support effective learning, and which challenges stem simply from poor initialization.

Guidance also opens new avenues for studying relationships between architectures. By measuring how easily one network can guide another, researchers can probe distances between functional designs and reexamine theories of neural network optimization. Since the method relies on representational similarity, it may reveal previously hidden structures in network design, helping to identify which components contribute most to learning and which do not.

Salvaging the hopeless

Ultimately, the work shows that so-called “untrainable” networks are not inherently doomed. With guidance, failure modes can be eliminated, overfitting avoided, and previously ineffective architectures brought into line with modern performance standards. The CSAIL team plans to explore which architectural elements are most responsible for these improvements and how these insights can influence future network design. By revealing the hidden potential of even the most stubborn networks, guidance provides a powerful new tool for understanding — and hopefully shaping — the foundations of machine learning.

“It’s generally assumed that different neural network architectures have particular strengths and weaknesses,” says Leyla Isik, Johns Hopkins University assistant professor of cognitive science, who wasn’t involved in the research. “This exciting research shows that one type of network can inherit the advantages of another architecture, without losing its original capabilities. Remarkably, the authors show this can be done using small, untrained ‘guide’ networks. This paper introduces a novel and concrete way to add different inductive biases into neural networks, which is critical for developing more efficient and human-aligned AI.”

Subramaniam wrote the paper with CSAIL colleagues: Research Scientist Brian Cheung; PhD student David Mayo ’18, MEng ’19; Research Associate Colin Conwell; principal investigators Boris Katz, a CSAIL principal research scientist, and Tomaso Poggio, an MIT professor in brain and cognitive sciences; and former CSAIL research scientist Andrei Barbu. Their work was supported, in part, by the Center for Brains, Minds, and Machines, the National Science Foundation, the MIT CSAIL Machine Learning Applications Initiative, the MIT-IBM Watson AI Lab, the U.S. Defense Advanced Research Projects Agency (DARPA), the U.S. Department of the Air Force Artificial Intelligence Accelerator, and the U.S. Air Force Office of Scientific Research.

Their work was recently presented at the Conference and Workshop on Neural Information Processing Systems (NeurIPS).

Fair use is not just an excuse to copy—it’s a pillar of online speech protection, and disregarding it in order to lash out at a critic should have serious consequences. That’s what we told a federal court in Channel 781 News v. Waltham Community Access Corporation, our case fighting copyright abuse on behalf of citizen journalists.

Waltham Community Access Corporation (WCAC), a public access cable station in Waltham, Massachusetts, records city council meetings on video. Channel 781 News (Channel 781), a group of volunteers who report on the city council, curates clips from those recordings for its YouTube channel, along with original programming, to spark debate on issues like housing and transportation. WCAC sent a series of takedown notices under the Digital Millennium Copyright Act (DMCA), accusing Channel 781 of copyright infringement. That led to YouTube deactivating Channel 781’s channel just days before a critical municipal election. Represented by EFF and the law firm Brown Rudnick LLP, Channel 781 sued WCAC for misrepresentations in its takedown notices under an important but underutilized provision of the DMCA.

The DMCA gives copyright holders a powerful tool to take down other people’s content from platforms like YouTube. The “notice and takedown” process requires only an email, or filling out a web form, in order to accuse another user of copyright infringement and have their content taken down. And multiple notices typically lead to the target’s account being suspended, because doing so helps the platform avoid liability. There’s no court or referee involved, so anyone can bring an accusation and get a nearly instantaneous takedown.

Of course, that power invites abuse. Because filing a DMCA infringement notice is so easy, there’s a temptation to use it at the drop of a hat to take down speech that someone doesn’t like. To prevent that, before sending a takedown notice, a copyright holder has to consider whether the use they’re complaining about is a fair use. Specifically, the copyright holder needs to form a “good faith belief” that the use is not “authorized by the law,” such as through fair use.

WCAC didn’t do that. They didn’t like Channel 781 posting short clips from city council meetings recorded by WCAC as a way of educating Waltham voters about their elected officials. So WCAC fired off DMCA takedown notices at many of Channel 781’s clips that were posted on YouTube.

WCAC claims they considered fair use, because a staff member watched a video about it and discussed it internally. But WCAC ignored three of the four fair use factors. WCAC ignored that their videos had no creativity, being nothing more than records of public meetings. They ignored that the clips were short, generally including one or two officials’ comments on a single issue. They ignored that the clips caused WCAC no monetary or other harm, beyond wounded pride. And they ignored facts they already knew, and that are central to the remaining fair use factor: by excerpting and posting the clips with new titles, Channel 781 was putting its own “spin” on the material - in other words, transforming it. All of these facts support fair use.

Instead, WCAC focused only on the fact that the clips they targeted were not altered further or put into a larger program. Looking at just that one aspect of fair use isn’t enough, and changing the fair use inquiry to reach the result they wanted is hardly the way to reach a “good faith belief.”

That’s why we’re asking the court to rule that WCAC’s conduct violated the law and that they should pay damages. Copyright holders need to use the powerful DMCA takedown process with care, and when they don’t, there needs to be consequences.

I’m sure there’s a story here:

Sources say the man had tailgated his way through to security screening and passed security, meaning he was not detected carrying any banned items.

The man deceived the BA check-in agent by posing as a family member who had their passports and boarding passes inspected in the usual way.

What a year it’s been. We’ve seen technology unfortunately misused to supercharge the threats facing democracy: dystopian surveillance, attacks on encryption, and government censorship. These aren’t abstract dangers. They’re happening now, to real people, in real time.

EFF’s lawyers, technologists, and activists are pushing back. But we need you in this fight.

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Conservatives have sought to block states from partnering with a Michael Bloomberg-backed fellowship program in environmental law.

Recipients of EPA’s largest climate grant program will get another shot at persuading the D.C. Circuit to restore $17 billion in awarded funds.

News about the threat to the National Center for Atmospheric Research hit "like a bomb" at the American Geophysical Union's fall meeting.

The General Assembly plowed ahead with plans to study data centers and climate impacts despite objections from Gov. Wes Moore (D).