The annual “Demo Day” event at MIT, which marks the end of the delta v startup accelerator, fell on the 25th anniversary of the Sept. 11 attacks this year, giving MIT entrepreneurs a chance to honor the memory of those lost that day while presenting their startup progress in the program.

Each year, the event celebrates all that students achieved while working full-time on their ventures over the summer with support and guidance from the Martin Trust Center for MIT Entrepreneurship.

But the usually boisterous night started with the program’s military veterans asking for a moment of silence.

“Today is a day of remembrance, but also a day of celebration,” founder and MIT graduate student Kevin Power MAP ’25 told the audience in opening remarks. “It’s about building to create a better world. Today, we honor those lost the way we believe they would want: by being humble, taking care of each other, and building something worthy of the people who never had this chance. In this room, people are taking on the hardest problems in health care, cybersecurity, defense, robotics, and manufacturing.”

Now in its 15th year, delta v Demo Day gives MIT entrepreneurs a chance to share their work and inspire classmates to adopt the entrepreneurial mindset. The companies that presented were whittled down from an initial list of over 200, twice the amount that applied in 2025.

Across a whirlwind 90 minutes inside a jam-packed Kresge Auditorium, 13 teams presented their startups to the audience in two-minute presentations. Many shared business milestones and progress in line with what a typical company would achieve over multiple years, including customer partnerships, prototype deployments, and even revenue.

Each team received mentorship and support along with $75,000 in equity-free funding, a dramatic increase from years past. This year’s cohort featured undergraduates, graduate students, and postdocs, from across all of MIT’s schools.

“One of the things I love about delta v is it brings students from all across our community together to approach challenges with different perspectives,” Paula Hammond, dean of the MIT School of Engineering, told the audience. “Their companies are just as wide-ranging. They are working in AI, robotics, health care, aerospace, financial technology, biotech, cybersecurity, and more. At their core, they all share a desire to tackle difficult problems and improve people’s lives.”

This year the Trust Center also announced a new partner model for the delta v program, composed of over 125 leading founders from companies like HubSpot, Okta, and Kayak, along with industry experts and early-stage investors.

The event’s occurrence at the start of the semester is no coincidence: It is timed to attract the next generation of entrepreneurs on campus.

“This is my favorite day of the year,” said Bill Aulet, the managing director of the Trust Center and MIT’s Ethernet Inventors Professor of the Practice at the MIT Sloan School of Management. “Today is about building organizations that will solve the world’s most intractable problems. It’s about more than making money. These presentations will inspire you and make you proud to be a part of the MIT community.”

Artificial intelligence featured prominently in this year’s cohort of companies, which are applying the technology to solve major problems in cybersecurity and manufacturing, improve health care spending, design advanced metal parts, and more.

The company Neural Physics, for instance, is building AI models for manufacturing and other hardware applications. The company’s models are designed to accelerate product design and validation workflows for companies building things like cars, equipment, and machine parts.

“AI can build software overnight,” said co-founder and PhD candidate Mohamed Elrefaie. “AI for software has been solved. The next revolution is physical AI. Design takes too long, and it costs billions. In 1907, it took Henry Ford five years to develop the first Ford car model. Today, it still takes the Ford Motor Company five years to go from design to production. The U.S. advanced manufacturing sector loses roughly $245 billion annually due to engineer delays… [Most] of that time is spent running simulations or making engineering decisions. At Neural Physics, we are building foundation physics models to accelerate those processes.”

Another company, Cerebrus AI, has built a system for detecting when AI agents deviate from approved behavior. The solution builds a baseline of behavior for each deployed agent and monitors their activity to flag unusual behavior that could lead to problems.

“The rollout of revolutionary technology is being held up by three key questions that every executive is asking: Where are my agents? What are they doing? What do they have access to?” co-founder and MBA student Griffin Potrock said. “Security teams want to say yes, but they can’t trust what they can’t see. Cerebrus AI can help those teams.”

The company Talys uses AI agents to help health care organizations find opportunities to lower spending on things like pharmacies, operational processes, and third-party services. The company is already working with health systems and has processed $325 million in spending.

“Decades of attempts to reign in health care spending have fallen short — until now,” co-founder and MBA student Nicolas Berzin said “Why is it so hard? Analytics and dashboards give you pictures of the problem, but not the solution. Meanwhile, consultants are slow and expensive. There are thousands of spend categories, tens of thousands of procedures, and millions of items. Who knows how to save on all of these things? Imagine if you could classify every line, benchmark every item, find every substitution, triage every unprofitable case, and model every scenario across multiple contracts and thousands of procedures and categories like an expert. Talys is a margin-execution system that runs 24/7 to optimize procurement, reduce leakage, and improve case economics.”

Other delta v teams also presented impressive hardware solutions. RBT Resources presented a portable device that simplifies and speeds up blood transfusions, which could be used in hospitals and at the site of traumatic injuries like highways or battlefields.

“Transfusion at the point of injury is an extremely manual process with three key inefficiencies: They are time dependent, gravity dependent, and labor intensive,” explained CEO Anthony Capuano MBA ’26, a former U.S. Navy Seal. “Our goal at RBT Resources is to make transfusions faster and simpler for all medics.”

Gander Robotics developed a low-cost drone submarine that can be used when someone falls overboard on a ship. The hand-thrown, autonomous vessel can sense and travel to the person at sea and give them something to hold onto at the surface, all while providing rescue crews with its exact location.

So-called “man-overboard” situations are surprisingly common on military boats and cruise ships. The device was developed over two years at MIT and the Woods Hole Oceanographic Institute. “Our autonomous rescue swimmer uses a proprietary technique to search with sonar from underneath the surface, where it’s nice and calm even if there’s a storm raging above,” CEO Michael Autery MBA ’26 explained.

The other teams presenting included:

Alpaca is building an integrated ecosystem of hardware and software to allow individuals to host their own frontier AI models without a subscription.

Banzai is building an AI-powered agent to help homeowners, property managers, and asset managers diagnose home repairs faster, improve repair accuracy, and reduce maintenance costs.

Bizon Labs is building a platform for engineering lipid nanoparticles to deliver advanced medicine anywhere in the body.

Cortheon uses AI design optimization to help foundries make complex metal parts at lower cost and with the design freedom of 3D printing.

Exo AI is helping financial institutions automate back-office processes using AI-native software capable of analyzing messy data and connecting fragmented workflows.

Pixology is using agentic AI to help sales teams create visual, engaging pitch materials faster for media rights deals.

Robox is using AI to develop a design engine for physical automation inside systems integrators, robotics firms, and manufacturers.

The Trade Lab is helping importers navigate shifting tariff regulations across the globe and optimize supply chains.

Let’s agree at the outset the world is a complicated place, and social scientists have exacting jobs when it comes to measuring civic phenomena with precision. 

After all, even careful studies raise follow-up questions: How much do their findings apply in other settings? Do conclusions about politics in one country apply to other countries? If you’re studying voters in a lopsided election, will your findings apply to voters in a close election? Those questions are all a natural part of the research process.

That’s where Naoki Egami comes in. Egami is an MIT political scientist whose specialty is the methodology of research. He carefully scrutinizes, for one thing, what social scientists call “external validity,” whether the results of particular studies apply more generally.

“I always say political methodology is the field where you ask questions as a political scientist, but then you solve them like an applied statistician or an applied computer scientist,” Egami says. “You find out the underlying mathematical problems behind the empirical challenges people face, and solve them optimally.”

As it happens, Egami’s interests range widely. Years ago, before the current artificial intelligence craze, he started studying what happens when AI tools are introduced into studies. How accurate are they? How can researchers account for AI tendencies? Focusing on these and other questions has helped Egami build a broad portfolio of research, win awards, and flourish in his career. All the while, he retains interest in basic questions about politics, as well as measuring things correctly. 

“You need both perspectives,” Egami says. “If you only think about technical statistical theories, you might not work on interesting empirical problems sometimes. But if you only think about problems, you won’t really solve them optimally; you’ll solve them in an ad-hoc way. So, you really want to have both lenses.”

Egami joined MIT’s Department of Political Science as an associate professor with tenure in 2025. He is also a faculty affiliate of the Statistics and Data Science Center at the Institute for Data, Systems, and Society (IDSS).

Workshopping his career

Almost anyone who likes their job has experienced some good fortune in finding it. Egami’s case calls to mind those adages about luck being a mixture of preparation and opportunity. 

Egami grew up in Tokyo and attended the University of Tokyo. He was good at math and physics, but he also liked political philosophy and was unsure how to combine his interests. One day, Egami attended a workshop about U.S. graduate school, which he thought was about MBA programs. Actually, it was about PhD programs, and included a political scientist talking about using math in the field, so Egami asked her a question. 

“The miracle is: That workshop had 200 people in it, and after it was done, I was packing my stuff to go home, and the panelist, who was a PhD student, came down from the stage and found me,” Egami recalls. “She asked, ‘Are you the one who said you’re interested in political science in the U.S., and likes math?’” 

She invited Egami to what he thought would be another career workshop, the following week. Once again, he was mistaken.

“I showed up, and it was an academic seminar,” Egami continues. “There were only 20 people there. It was 19 professors, and me, a first-year undergrad.” Then a professor named Kosuke Imai, now at Harvard University, gave a talk about his own research on using statistics in the social sciences. 

“I was super-excited and felt if I could do even 20 percent of that, it would be a dream,” Egami says. “I talked to Kosuke and said, ‘I want to do what you’re doing.’ He probably thought I was just a random person.”

Egami, thus bolstered, started pursuing the goal of becoming a political scientist. He received his BA after spending a year as an exchange student at the University of Michigan, and applied to graduate schools in the U.S., landing at Princeton University — where Imai eventually became one of his advisors. Working with Imai, Rafaela Dancygier, Brandon Stewart, and others, Egami generated papers on methodological topics like external validity — and found substantial interest when he presented them. 

“That was a case where the audience or market told me what I should really work on,” Egami says. After earning his PhD from Princeton in 2020, he joined the faculty at Columbia University, moving to MIT five years later. 

Enjoying the spirit of MIT

One of the hallmarks of Egami’s work is very close scrutiny of the factors that can influence the results found in empirical studies. 

“In statistics, you talk about whether the people in the data are similar, meaning the population data,” Egami says. “But in political science, there are a lot of differences in context.” 

Consider the question of how much political campaigns sway the minds of voters. Political scientists have sometimes received permission to conduct field experiments in active political campaigns. That’s a significant step toward generating robust results. And yet, not all campaign settings are the same. Politicians may let researchers in when they expect to triumph, and the dynamics in those races might differ from close races. 

“It’s great to do field experiments, and that’s usually where people are allowed to do research,” Egami says. “It’s where politicians know they can win. But most of the time, we’re interested in the battlefield races, the politically competitive districts. And the logic and voter behaviors can be different in those cases.” 

Egami’s job, on one level, is to spot such differences and make other researchers aware of them.

Meanwhile, he has also developed a strong interest in scrutinizing the tools of machine learning, as applied to the social sciences. This predates the elevated interested in AI generated by ChatGPT, starting in late 2022. Some of Egami’s work explores how to systematically identify errors introduced by AI tools and then account for this issue when using AI in research.

“In the past, social science data is something we carefully collect and take a long time to really validate before we analyze it,” Egami says. “But if the generation of data is changing. If people use AI to generate data at scale, it can have errors. So I was already thinking: You want to have statistical methods that take into account these errors, otherwise many of the analyses will not be able to be replicated. That’s how I started to work on a lot of things about AI.” 

All of this has brought Egami recognition and honors in the field. Last year, he received the Emerging Scholar Award from the Society for Political Methodology. He has also been the recipient of best paper awards from the American Political Science Association’s sections for political methodology (in 2019 and 2025), experimental research (in 2024), and political networks (in 2022). Earning awards in three subfields of the discipline speaks to Egami’s scholarly versatility.

In his view, though, the work he does in different areas is ultimately aligned. 

“All these things are in parallel,” Egami says. “I’m trying to start a new research agenda every three to four years. That helps me learn new topics and be motivated.”

Further motivation, he says, comes from being at MIT and liking the experience.

“I already knew MIT was an amazing place I would enjoy,” Egami says. Even so, in his time at MIT, he says, he has gained even more appreciation for the “spirit of engineering,” in the sense of working systematically on solutions to ongoing problems, among other things. In any case, Egami has found the Institute to be a stimulating and congenial place to do his work. 

“People are really nice at MIT,” says Egami, who has been teaching both undergraduate and graduate classes.

He adds: “The Department of Political Science is really high-functioning, people are intensive in terms of their work, but it’s just genuinely nice people.” 

And, yes, that’s one claim about the world Egami does not have to double-check. 

Nature Climate Change, Published online: 16 September 2026; doi:10.1038/s41558-026-02749-z

Heat stress reduces labour productivity, but economy-wide assessments are mostly missing. Using high-resolution projections and global economic modelling, the authors provide new cost estimates, and updated agricultural damages improve confidence in the social cost of carbon.

At the beginning of their first year, many MIT undergraduates choose to join one of the Institute’s 44 fraternities, sororities, or independent living groups (FSILGs), some of which are housed across Cambridge, Boston, and Brookline, Massachusetts.

There are 30 fraternities, nine sororities, and five independent living groups for students to choose from. Nearly 37 percent of undergrads join an FSILG, and these communities offer students more than a place to live, eat, and socialize; they are places where students create friendships, mentor younger students, work with both alumni and MIT administrators, raise funds for local charities, and learn valuable leadership skills.

While each organization has its own set of values, traditions, and membership process, they all share a common goal: creating communities where students can grow both personally and professionally inside and outside of the classroom, while navigating the rigors of an MIT education.

Anya Kattef ’98, director of FSILG Alumni Programs, says, “I can't imagine my MIT experience — or the decades that followed — without the extraordinary community I found in Alpha Phi. Surrounded by smart, compassionate, and driven women, I gained the confidence not only to survive MIT's demanding academic environment, but also to grow as a leader, progressing through the officer roles of athletic chair, house manager, and ultimately president. Beyond the leadership opportunities, the mentorship I received from upperclassmen helped me secure my first summer internship, navigate course selection, and pursue opportunities I might otherwise have overlooked. And perhaps most meaningfully, the friendships I formed through Alpha Phi while at MIT have grown into lifelong bonds that continue to shape and enrich my life.”

Service is a common bond

Liz Jason, associate dean and director of FSILGs at MIT, says “although every organization is unique and has its own personality, service remains a common thread throughout every fraternity and sorority. Many national organizations partner with causes ranging from heart health research and children's hospitals to literacy initiatives. Local chapters then build additional partnerships with organizations throughout Greater Boston, supporting causes such as Rosie's Place, the Boston Area Rape Crisis Center, animal welfare organizations, and other community nonprofits.”

FSILGs often host signature fundraising events tied to philanthropy, while others organize volunteer opportunities throughout the year, such as cleaning up Back Bay alleys, so that it’s woven into the members' experience.

Jason also notes: “Our culturally based fraternities and sororities place a particularly strong emphasis on community service, with some requiring prospective members to demonstrate volunteer work before joining. In addition, some of our national organizations require students to complete at least one semester of college before joining to ensure they have established academic success first.”

Leadership and responsibility

Presidents and leaders of an FSILG take on a large amount of responsibility that goes beyond the scope of organizing social events or fundraisers. They’re managing organizations that function much like a small business.

“Leaders learn soft skills overseeing budgets, coordinating recruitment, mentoring new members, organizing educational programming, and often spend 10 or more hours each week fulfilling leadership responsibilities,” says Jason. “Leaders also learn conflict resolution while navigating disagreements among members or neighboring residents. They practice delegation, budgeting, prioritization, and time management. They gain experience running meetings, communicating with alumni volunteers, and working with senior Institute leaders. They have a seat at the decision-making table. As a leader, if you expect your peers to do something, you need to model and espouse that behavior, too.”

For students living in chapter houses, the responsibilities can extend even further. Leaders learn to manage multimillion-dollar properties. Student leaders coordinate building maintenance, communicate with vendors, oversee safety inspections, organize chores, and help maintain properties that, in some cases, have housed MIT students for more than a century. The student house manager manages the facility, attends training four times a year, where FSILG leadership goes over seasonal items they need to know, such as removing snow from sidewalks and steps, liability insurance, and safety inspections.

As the chapter president of Pi Beta Phi, senior Tea Picconatto says, “My role as president has strengthened my communication, leadership, and conflict-resolution skills. It has also connected me to the broader national organization and provided opportunities to build relationships with members and alumnae across the country. From a professional perspective, the experience has been valuable in demonstrating leadership and responsibility to future employers. I’m certain I was hired for two of my internship roles because of my sorority leadership experience.”

Picconatto adds, “Greek life offers a unique sense of identity, community, and connection to a nationwide network of members and alumnae that continues well after graduation in a way that is not replicated elsewhere on campus. My sorority sisters have always been there to offer emotional support, academic guidance, and encouragement whenever I have needed it.”

At MIT, Alpha Delta Phi Society is a gender-inclusive member of the Institute’s Interfraternity Council. As president, Gabriel Tian, who came to MIT from Toronto, Ontario, sought a community with which to experience MIT. During the first week of school, he was studying at the ADPhi house library late at night and said it felt very natural and productive. He says he thought “this is where I belong,” and pledged shortly after. Tian quickly became involved as academic chair and vice president, and even helped update the chapter's website.

“I have learned so much since Rush — how to be a leader, how to make difficult decisions, how to have hard and personal conversations, how to run a living community with an executive board, how to socialize more effectively to connect with each and every member. Being the president, or any other leadership position, is tough, but so incredibly valuable, and gives me confidence in myself and my ability to care of my community,” says Tian.

“In just two years since joining, I have made lifelong friends. In fact, some of the closest friendships in my life are right here in the siblinghood. The web of connections my chapter offers really enables connections between people who otherwise would not have the opportunity to have even met at MIT. To me, ADP makes MIT all the more brilliant and special.”

After graduating

Long after graduation, many alumni continue volunteering with their chapters, serving on house corporations, mentoring students, and helping preserve traditions for future generations. For many, the relationships formed during college continue throughout their professional and personal lives.

Some families even span multiple generations of FSILG life, with parents and children joining the same FSILG years apart. Others have found lifelong friendships — or even spouses — through their chapter experience.

Cecilia Warpinski Stuopis ’90, the chief health officer at MIT Health, found that when she joined the Alpha Chi Omega sorority while a student, she had an “instant group of peers.”

“I was trying out for the volleyball team, and my teammate invited me to Rush to see what it was about. We both were invited to join. There were about 20 of us in our pledge class, and perhaps 40 women total in the sorority at the time, and I’m still friends with many of my Alpha Chi sisters to this day. We’re a very tight-knit group. Sororities are a very supportive network of people who care about each other.”

Stuopis, whose husband also graduated from MIT, adds, “I became reengaged with the community at MIT as an alum, as a volunteer, and then an advisory board member for Alpha Chi Omega. My daughter came to MIT and pledged Alpha Chi, too, and this allowed me to attend her initiation. I’ve been on the Board of the Association of Independent Living Groups at MIT for the last nine years and recently signed up for another three. At MIT, fraternities or sororities are not like they are portrayed in the movies. They are guided by friendships, developing bonds, and are there to support all aspects of their member’s success — both during their time as students and well into the future.”

Students interested in joining an FSILG can find more information on the website.

In 2021, MIT set campus decarbonization goals as part of its Fast Forward climate action plan. Five years later, many of those goals have been met or are on track for completion, including efforts to make the Institute’s buildings more efficient, expand rooftop solar installations, and attain net-zero emissions. 

“Decarbonizing our campus goes hand-in-hand with MIT playing a leadership role in promoting carbon reduction and climate resilience through its research, innovation, and efforts to inform public policy in this area,” says Glen Shor, executive vice president and treasurer. “Our teams are leveraging that same innovative spirit to meet our campus climate goals.”

Creating an energy-efficient campus

Over the past decade, the Institute has decreased energy use per square foot by more than 10 percent, even as the campus has grown and research activity has intensified. Rooftop solar power generation has increased by more than five times in the same period, with installations added to the Stratton Student Center (Building W20), the Dewey Library (Building E53), the New Vassar undergraduate residence hall (Building W46), Graduate Junction (Buildings W87 and W88), and the theater arts building (Building W97). Thirty-three MIT building projects have earned Leadership in Energy and Environmental Design (LEED) certification. And in May, the Tina and Hamid Moghadam Building (Building 55) became MIT’s first Living Future Zero Carbon Certified building.

“We’ve completed more than 300 energy-efficiency projects across campus, focusing on our most energy-intensive research buildings, and ultimately touching nearly every corner of MIT,” notes Joe Higgins, vice president for campus services and stewardship.

Case in point: Building 46, home to the Brain and Cognitive Sciences Complex, and the Metropolitan Storage Warehouse (Building W41), newly home to the School of Architecture and Planning.

Building 46 was identified as one of MIT’s biggest energy users and the building with the greatest carbon-reduction potential. In 2024, the Institute completed a lab-by-lab renovation and improved Building 46’s mechanical systems infrastructure. The result: a 35 percent reduction in building energy use and carbon emissions — roughly a 2 percent reduction in overall campus emissions. 

The newly renovated Met Warehouse, which opened in August, features an innovative heat-recovery system, capturing heat rejected from the campus cooling system and using electric heat pumps to generate heat for the building. Higgins says the system will help inform the design of larger, campus-level heat-recovery systems.

Since 2014, 101 of the 168 buildings on MIT’s Main Campus have undergone energy-efficiency upgrades. The Institute’s 2030 Capital Plan will continue to invest in projects to reduce energy consumption and make efficiency upgrades a core element of all comprehensive building renewal projects. Examples of new projects include further optimizing heat-recovery systems; deploying more sophisticated controls to better manage ventilation, heating, and cooling; and using artificial intelligence to set classroom and office temperatures based on weather forecasts, occupancy patterns, and the forecasted carbon intensity of the regional power grid.

The renovation of Building 39, which is set to be home to a next-generation quantum research laboratory, will incorporate energy-saving features and technologies, including advanced insulation and windows, a smart ventilation system, LED lighting with automatic controls, and heat-recovery systems to maximize efficiency. These integrated systems are projected to dramatically reduce energy use and carbon emissions — cutting them by approximately 70–80 percent relative to the existing building baseline. 

Similarly, the McCormick Hall (Building W4) undergraduate residence hall renovation, which began this summer and is expected to be ready for students by the fall 2028 semester, will add high-performance windows, LED lighting, ventilation energy recovery, and low-flow plumbing fixtures. The project will replace gas cooktops with electric induction, use low-carbon flooring, improve stormwater management, and enhance the courtyard with native plantings, which require less water and maintenance while supporting local biodiversity.

On the path to net zero

MIT’s decarbonization efforts extend well beyond its campus. In recent years, the Institute has entered collaborations to create several large-scale renewable energy projects in regions of the United States where electric grids are still heavily reliant on fossil fuels. Together, these projects avoid over 200,000 tons of carbon dioxide per year, about equal to MIT’s annual direct campus emissions. 

“These projects, within a very short window of time, have had a significant impact on reducing emissions,” says Higgins. “They also put us on track to reach our net-zero target this year.” 

The first of these projects, the Summit Farms 60-megawatt solar farm in North Carolina, went online in 2016. Big Elm Solar in Texas, a 200 MW facility, followed in 2024, and Bowman Wind, a 208 MW wind farm in North Dakota, began operation in December 2025. Together, Big Elm and Bowman represent a landmark collaboration between MIT and 11 Massachusetts nonprofit and public sector organizations, including the City of Cambridge.  

“It’s a new market model that allows smaller organizations and government agencies to achieve greater reductions in carbon emissions that wouldn’t be possible on their own,” says Julie Newman, MIT director of sustainability. 

To capture the broader benefits of these projects, the Office of Sustainability worked with Institute researchers to develop a framework that assesses not only avoided emissions, but also economic and health outcomes. The team found that the projects generate economic benefits comparable to 7,000 one-year construction jobs and 189 maintenance jobs over 20 years. The projects’ annual health benefits are equivalent to 640 people quitting smoking for life, or nearly 200 premature deaths avoided each year for 20 years.

“Greener power sources are one of the building blocks we need to decarbonize our cities and campuses for the long run,” says Higgins. “That’s why we have made decarbonizing regional electricity grids a priority.”

The building blocks of campus decarbonization

To fully decarbonize MIT’s campus, the Institute will need to significantly change how it produces and distributes energy.

Currently, MIT’s Central Utilities Plant (CUP) burns natural gas to create electricity and steam-based heat, while also getting a small amount of electricity from the power grid. Electricity, heat, and air conditioning are distributed to campus buildings through a network of underground power lines and pipes. 

To move away from burning natural gas, and to take advantage of electricity from a greening grid for making heat, MIT is exploring creating a large-scale electric heat pump plant adjacent to the CUP on Vassar Street. The plant, a key building block for a long-term campus decarbonization strategy, will produce hot water and distribute it to campus buildings through a hot water-based heating system. 

“We’re starting the design process now, and in the coming year, we should know more about the scale and phasing of the heat pump plant we would construct, how it would interface with our existing district energy system, and the implementation timetable,” says Vasso Mathes, senior campus planner in the Office of Campus Planning, who is the campus decarbonization program manager. The heat pump plant will aim to recapture waste heat from existing cooling systems, supplying source energy to meet 30 to 40 percent of campus heating needs.

Another critical building block is transitioning MIT’s existing steam-based infrastructure to a hot-water system. That work — already underway — includes replacing steam distribution pipes to buildings with more efficient, easier-to-maintain hot-water pipes and converting buildings from steam to hot-water heat.

The third building block of a campus decarbonization strategy will be MIT’s ability to rely on the power grid for electricity instead of the CUP. “The electricity generated by the CUP is 15 to 20 percent lower in carbon emissions than the New England grid,” says Mathes. “We expect this to change over time as more and more renewables are added to the grid.” Even then, the CUP would be maintained as a backup system for use during peak heating and cooling days and grid stress events.

Finally, “the fourth building block is to go bigger, and look at shared infrastructure and coordinated planning with neighboring institutions and municipal partners,” says Higgins.

In that vein, earlier this year MIT became an anchor institution in the BosTEN Project, a year-long study to explore the feasibility of creating what could become the first city-scale thermal network in the United States. The network would help decrease the carbon footprints of major buildings across Boston and Cambridge, Massachusetts, by harnessing heat from the soil and rock under the Charles River and Boston Harbor, as well as waste heat from buildings and industrial facilities. It would also provide a renewable source of energy that can stabilize and even reduce the costs to heat and cool buildings.

“We’re thinking through how we can not only decarbonize our campus, but also how to use our work as a catalyst for broader strategies and technologies that others could readily employ,” Higgins says. “The unit of change needs to be at the city scale.”

For decades, one of the major complaints about nuclear power in the United States has been the argument that, after all this time, we still have not come up with a dependable strategy for sequestering high-level radioactive waste, including spent fuel from plant operation. This issue is of such importance that Haruko Wainwright has put it at the center of her research agenda as an Atlantic Richfield Career Development Professor in Energy Studies at MIT and an associate professor in the departments of Nuclear Science and Engineering and Civil and Environmental Engineering. 

In an essay called “The best-managed industrial waste in history,” which appeared in the Aug. 27 issue of the journal Nature, Wainwright made a bold statement, maintaining that an expansion of the nuclear power sector in the United States will benefit the environment, despite the fact that a solution to the permanent disposal of nuclear wastes has yet to be demonstrated in this country. 

In this interview, Wainwright describes risks associated with different forms of waste, ways to improve waste-handling procedures, and what lessons other countries can teach the U.S. in this realm.

Q: Why do you think chemical contaminants pose a greater public health risk than radioactive wastes?

A: I’ve always appreciated the fact that the dangers of radiation were recognized relatively early in the 20th century, prior to the widespread use of nuclear technologies. By the time an industry emerged, radiation protection standards were reasonably well established, including waste management. While nuclear power plants inevitably produce highly radioactive spent fuel, it is both solid and compact, making it relatively easy to contain and isolate from the environment. It took time to develop a disposal solution because people were pursuing a perfect one. Now, several countries are demonstrating that effective isolation over geological timescales is feasible. Finland, in fact, is about to open the world’s first deep geological repository for spent fuel.

Chemical contaminants present a different story. For many substances, like hexavalent chromium and PFAS (“forever chemicals”), the risks were identified long after they’d been released, having spread widely through the environment, food chains, and human bodies. PFAS, for example, has been used in industry and consumer products since the 1940s, yet the first federal drinking water standards were not adopted until 2024. Chemical hazardous wastes — including substances that degrade very slowly or not at all — are disposed of in the shallow subsurface without the requirement of long-term predictive assessments.

This is not to suggest that radioactive wastes are without risk. However, public perception is often disproportionately focused on — often hypothetical — nuclear hazards, while underestimating the dangers posed by chemical wastes. This misalignment actually has an adverse effect on the environment and public health. It leads to the misallocation of resources, diverting funding — including taxpayer dollars — away from worrisome contaminants whose environmental and public health consequences are already occurring. 

Q: How can we improve our procedures for storing spent fuel as more nuclear power plants come into operation around the world?

A: The nuclear industry is becoming increasingly proactive about waste management. Some companies, for example, now incorporate spent fuel storage capacity directly into their power plant designs, formulating plans that cover the entire operating period. Research on waste streams from advanced reactors — and even fusion reactors — is also growing. This approach of thinking about wastes before any are produced — what I call “design from the wastes up” — is critical for long-term sustainability.

Although further technical advances are surely needed, communication remains another area with significant room for improvement. Transparent monitoring programs and effective communications have been shown to build public confidence and provide assurance. Additionally, I believe we should place a greater focus on the inherent properties of radionuclides, including their risk pathways and mobility. Long-lived radionuclides are weakly radioactive and emit little or no penetrating radiation; their health risks are associated with ingestion or inhalation, analogous to chemical carcinogens. Most radionuclides, including plutonium, have low solubility and a high affinity for soil particles, limiting their mobility in the environment.

Current research on spent fuel storage has been devoted mainly to the integrity of the metal canisters used to contain spent fuel. Attention should also be directed toward developing predictive understanding of radionuclide transport and about geochemical barriers to the spread of radioactivity in the unlikely event of a containment breach. These approaches would exploit the natural immobility of radionuclides to afford additional layers of protection — in keeping with the nuclear industry’s recent embrace of passive safety features.

Q: How can the United States move toward the permanent disposal of nuclear wastes, and what can we learn from the European and Canadian examples? 

A: Many people tend to dwell on political and social issues, while the underlying science is frequently left out of the conversation. Fundamental questions — regarding the true dangers of radioactive materials and the feasibility of safe geological disposal — often go unanswered, leaving nuclear waste a vague, almost mythological threat, rather than a technical and engineering problem.

In fact, many people in geoscience believe that the failure of Yucca Mountain — the proposed geological repository for high-level radioactive wastes in the U.S. — stemmed from the fact that the site was chosen for political rather than scientific reasons. In 1987, Congress amended the Nuclear Waste Policy Act to confine site characterization to a single location, abandoning the original plan to screen multiple candidates. This top-down decision, widely dubbed the "Screw Nevada Bill," generated vehement local opposition. In addition, Yucca Mountain is the only proposed repository in the world situated above the groundwater table and within a zone of fractured igneous rock, where radionuclides are relatively mobile. Demonstrating its long-term safety is, consequently, much more difficult than for other proposed repositories.

Europe's approach to waste disposal offers a stark contrast. Switzerland, for example, identified a preferred site after a transparent, scientific evaluation of multiple candidates based on technical criteria, earning community acceptance as a result. Sweden and Finland built trust through decades of patient consultations with the public. And in Canada, more than 10 communities voluntarily expressed interest in hosting a repository before one favored site was ultimately selected.

Another underappreciated difference relates to how public concerns are handled. In the U.S., worries about radiation and radioactive waste have often been brushed aside by experts. In Europe, communication professionals and experts are trained to address every concern sincerely, offering understandable, science-based explanations. Discussing those concerns, moreover, can provide valuable opportunities to identify knowledge gaps and improve safety.

I believe that selecting a geologically sound site and communicating the science clearly — in terms that anyone can grasp — are the essential first steps toward achieving the permanent and safe disposal of nuclear waste.

The federal government has inserted a provision into a funding deal with the state of California that would make the state abandon its gold standard net neutrality law, broadband affordability laws, and public safety protections. Doing so would be a huge step back for California, and would actually end up being more expensive for Californians in the long run. Tell the governor to reject this provision before accepting these funds from the federal government.

Take Action

Tell the Governor to Stand Up for Net Neutrality, Affordability, and Public Safety

On August 31, the National Telecommunications and Information Administration announced it would be awarding California $1.4 billion to expand broadband connectivity in the state. In that deal is a provision that says that California agrees to not enforce any law, order, or policy that imposes any sort of restriction on internet service providers (ISPs). These ISPs will get awarded the funding in order to connect Californians they have neglected for years. The ban on enforcing our laws would last 14 years. This is disastrous for a lot of reasons. 

First, California is one of the only states with a strong state net neutrality law. Recreating much of the FCC’s Open Internet Order, the law prevents ISPs from blocking, throttling, zero rating, and instituting paid prioritization on internet service. Put another way, the law ensures that users, not companies, decide how they can see on the internet. If California is not allowed to enforce our gold standard law, there will be little stopping ISPs from controlling how everyone experiences the internet. 

Second, California has a number of affordability protections that would also fall under this agreement. For example, when the state approved the merger of Verizon and Frontier earlier this year, it required the new merged company to offer a $20 internet plan to low-income Californians—saving Californians billions of dollars over the next decade. Just this year the California Public Utilities Commission found that the average cost of broadband across four major urban markets (San Mateo, Oakland, Los Angeles, and San Diego) was $51 per month. In 2023, Consumer Reports found that 84% of American consumers pay at least $50 per month, with many paying more. That $30 difference per month—which is likely to actually be more—makes all the difference for low-income Californians. It is how Californians will save billions from this merger requirement. In contrast, $1.4 billion in new connectivity and infrastructure doesn't matter if the most vulnerable Californians cannot afford it. Eviscerations of this and the net neutrality protections will, ultimately, cost Californians more than they will get. 

Third, this deal will impact public safety. The same California net neutrality law which protects consumers also ensures reliable service for first responders during emergencies by banning throttling. In 2018, Verizon throttled, or slowed down, the service of firefighters as they were battling what was, at the time, the largest wildfire in California history. In reaction, fire departments came out in support of what would become California’s net neutrality law. If California cannot enforce its net neutrality law it will leave its first responders in a weaker position as natural disasters only become more intense. 

Most people do not have a choice in ISP as it is. California’s net neutrality law is one of the few things protecting Californians from the whims of these monopolistic giants. Californians should not give up our few hard-won protections in return for a hand out to these behemoths. Tell Governor Newsom to reject this provision before he accepts these funds from the federal government. 

Take Action

Tell the Governor to Stand Up for Net Neutrality, Affordability, and Public Safety

This essay was written with Cindy Cohn, and originally appeared in Lawfare.

One of the many legacies of the terrorist attacks of Sept. 11 is the government-wide shift from targeted surveillance—such as individual wiretaps or pen register/trap and trace orders—to mass surveillance techniques—such as tapping into the internet backbone or mass collection of telephone or internet metadata. The legal and technical architecture of modern mass surveillance, initially framed as a necessary defense against terrorist threats, has grown far beyond that justification and national security in general. Mass surveillance is now a routine tool used by law enforcement. ICE uses it in...

Really interesting story about Harvest, a specialized code breaking computer built in the 1960s by IBM for the NSA.

Deep in the ocean, brown algae and diatoms produce a complex carbohydrate molecule called fucoidan, which helps form the algae's protective outer layer. The fucoidan molecule is very difficult for microbes to break down because its chemical structure may include dozens of different linkages and branching patterns that vary from one algae species to another. This resistance to decay is one reason why fucoidan matters; when microbes struggle to break it down, fucoidan can sink deep into the ocean, carrying carbon with it and potentially storing it for long periods. This could make fucoidan an important player in the ocean’s carbon cycle.

For many years, scientists knew of individual bacteria that could break down pieces of fucoidan. But one fundamental question remained unanswered: Could a microbial community break it down completely, and if so, how?

A new open-access study published in Nature, led by Andreas Sichert, a former MIT postdoc now at ETH Zurich, and Otto X. Cordero, associate professor of civil and environmental engineering at MIT, provides an answer.

"No single bacterium can finish the job," says Cordero. "Instead, fucoidan is degraded through teamwork. Different bacterial strains specialize in different parts of the molecule, and together, their combined efforts get the job done far more efficiently than any one organism could manage alone."

A puzzle with 453 pieces

In order to understand how fucoidan breaks down in nature, the research team enriched a fucoidan-degrading bacterial community from coastal seawater samples. What they found was staggering: more than 453 different genes, each responsible for making an enzyme that can act on fucoidan, spread across eight bacterial strains the researchers isolated. On their own, none of these strains could fully break down the molecule.

But when the researchers used a new, rapid mass-spectrometry method, they were able to observe how bacteria consumed individual sugar building blocks — and a clear pattern emerged. All of that genetic complexity could be reduced to two roles. Some bacterial strains specialized in degrading fucoidan's fucose-rich "backbone," while others specialized in removing its side branches, which contain less-common sugars such as xylose and galactose.

When strains playing both roles were combined, something noteworthy happened: degradation didn't simply add up. Instead, it became synergistic and exceeded what the bacteria's individual activities could predict. The more complementary the strains' preference for sugar were, the stronger the effect became. In some cases, the paired communities came close to completely degrading the complex polysaccharide.

"The breakdown of one of the ocean's most abundant carbon pools rests on a division of labor," says Cordero, "not between particular strains, but between functional roles."

Turning complexity into predictability

The most surprising result was that this division of labor made the system much more predictable than its underlying complexity indicated.

The researchers developed a simple model that sorted bacterial activity into two broad categories: fucose, and the rarer sugars found in fucoidan's side chains. They trained the model using data from small communities containing just one to three bacterial strains.

The simplified model was able to predict degradation in communities containing up to seven strains, and its predictions also generalized to nine structurally different fucoidans from other kinds of algae.

"A predictive understanding of a complex system need not come from characterizing each of its parts," adds Cordero, "but from finding the right simplification." The finding suggests that scientists may be able to predict how efficiently other complex, carbon-rich biological materials are broken down in nature, even when their exact chemistry and the enzymes involved are only partly understood.

The researchers also found that bacteria with complementary capabilities often occurred together in samples taken from the natural ocean, suggesting that the division of labor observed in the laboratory may also play a role in the ocean.

The consequences extend well beyond the field of microbiology. 

The researchers propose a concept they call "diversity-limited degradation," in which the absence of the right combination of complementary bacterial specialists allows fucoidan to persist for longer instead of being broken down. This concept may help explain why some algal carbon stays in the ocean for extended periods, contributing to long-term carbon storage.

For biotechnology, the takeaway is more straightforward. Instead of engineering a single "superbug" that can digest tough and complex biomass, a more promising approach may be to bring together teams of microbes that already specialize in complementary tasks. These teams could potentially be used to process brown algal biomass and other complex polysaccharides on a larger scale.

Looking ahead

The broader promise, though, may lie in the approach, rather than the molecule. If hundreds of uncharacterized enzymes can be reduced to two measurable traits, the same strategy might work for other biopolymers whose chemistry has so far resisted description — and, more generally, for predicting what microbial communities do. 

"Here was a system with hundreds of enzymes acting on a molecule we still can't fully describe, and it turned out to be far more tractable than anyone expected," says Cordero. "What we found is that there's a level of organization above the individual enzyme, corresponding to traits we can measure and plug into simple models that predict function from (genomic) composition. When biology looks intractable, it may be that we haven't found the right level of description yet."

One question the work leaves open is a fundamental one. Fucoidan is abundant, and has been for a very long time, so why has no bacterium evolved to eat it whole? The researchers suggest answers on two levels: constraints within sugar metabolism itself, and evolutionary dynamics in which complementary specialists are continually regenerated rather than merged into one.

"Really, this is a question about how life on Earth is organized," says Cordero. "Why are the biochemical functions that drive the planet's elemental cycles distributed across many organisms instead of concentrated in a few? Explaining that is, I think, one of the frontiers of the life sciences."

In addition to Cordero and Sichert, the research team included co-authors from ETH Zurich, the University of Vienna, and the Tata Institute of Fundamental Research.

The work was supported by Simons Foundation through the Principles of Microbial Ecosystems (PRIME) collaboration.

This is a current list of where and when I am scheduled to speak:

• I’m speaking online (via Zoom) at a League of Women Voters event on Tuesday, September 22, 2026 at 5 PM ET.
• I’m speaking at CanSecWest 2026 in Vancouver, Canada. The conference runs September 30–October 1, 2026; the time of my talk is TBD.
• I’m giving a talk on “Free Speech and the Preservation of Democracy” at Bentley University in Waltham, Massachusetts, USA, at 2 PM ET on Tuesday, October 6, 2026.
• I’m speaking at ATTENTION: Democracy, Rebuilt in Montreal, Canada. The event runs October 21–23, 2026, and my talk is on Wednesday, October 21...

Last week, Anthropic released a long and detailed document describing current misuses of their Claude models. I’m still reading it, but I wanted to flag this:

We identified a cell of threat actors based in northern Yemen running three weapons development programs: a guided rocket that used a commodity phone-class flight computer with final-phase homing guidance; a multi-stage ballistic missile with a stated range goal above 2,000 km; and a multi-variant missile (referred to as the “R2000” set) that included a hypersonic glide vehicle variant...

Here's a riddle: Why did a Goshen Police Department officer search 6,474 automated license plate reader (ALPR) networks, representing data from 82,413 cameras, on May 7, 2025? 

If your answer is "I don't know," it turns out you're 100% correct. The officer left the letters "idk" in the search field where cops are supposed to document the reason for the search.

When law enforcement and tech salespeople pitch ALPRs to city councils, they stick to a familiar script. They trumpet the technology, which is often provided by private companies like Flock Safety, Motorola Solutions, or Axon, as an essential tool for solving high-stakes crimes, such as car jacking, kidnapping, or murder.

But when you strip away the carefully curated talking points, the data continues to reveal a different (and frankly, ridiculous) story. An EFF analysis of ALPR search logs from Flock Safety systems shows that officers across the country are spying on drivers for completely nonsensical "reasons." Police are routinely searching the Flock database without providing any legitimate justification, making a mockery of our civil liberties by logging reasons like "LOL" (short for “laugh out loud”), "LMAO" (short for "laughing my ass off"), "sexy," and "idk" (short for “I don’t know”) to access sensitive ALPR location data.

And in some cases, officers are just mashing keyboard buttons rather than articulating the nature of their searches.

Flock Safety claims it has improved its system by requiring officers to select from a dropdown list of crimes before running a search–but that only makes it easier for officers to hide improper searches behind the veneer of uniformity. The system does not require proof that the dropdown reason actually matches the true purpose of the search. 

With no warrant requirements, limited guardrails, and deficient audit processes, ALPR databases have fostered a culture of unrestricted access to everyone’s location information. This culture of abuse has allowed police to treat a mass surveillance network like their own personal search engine, permitting the tracking of the movements of everyday citizens for low-level complaints, personal whims, and sometimes, seemingly, for the lols.

A Documented Culture of Abuse

ALPR misuse isn’t a new phenomenon; it has dominated headlines for more than a year. We already know that officers regularly abuse these systems to stalk past and potential romantic partners. We’ve seen ALPRs used to surveil protests, which can chill First Amendment-protected dissent, and seen officers try to use an ALPR system to track down a woman seeking an abortion.

Typically, we learn about these uses from documents called "network audits," which are long spreadsheets that document all the searches that run through an agency's system. It is not unusual for even a small agency to have a record of millions of searches from thousands of external agencies across the United States.

We’ve also uncovered horrific systemic profiling, with more than 80 law enforcement agencies using terms like "roma" and "g*psy" to target ethnic Romani people—often without any mention of a suspected crime. And when police aren’t using ALPRs for stalking or profiling, they routinely use them for extreme low-level investigations: verifying whether a student lives in a specific school zone, running employment background checks, following up on loud music complaints, or targeting a motorcyclist simply for holding a cell phone.

But somehow, it gets worse.

The Absurdity of Documented Search Reasons

EFF’s analysis of Flock Safety’s ALPR search data obtained through public records requests has uncovered a disturbing trend. In the absence of judicial oversight, officers are inputting ridiculously unserious terms to justify their searches. Here is just a snapshot of what police consider a "reason" to track someone’s vehicle:

Surveillance as a Joke

Audit logs sample

• Barberton Police Department (Ohio) employees ran numerous searches between March 2024 and May 2026, listing “LOL” or “lol” as the reason.
• Harris County Sheriff's Office (Texas) employees ran several searches between April and May 2026 listing “LOL” or “lol” as the case number.
• Lake County Sheriff's Department (Ind.) employees ran searches in July 2025 for “LMAO.”
• Richmond Police Department (Calif.) employees ran over multiple searches in November 2024 for “Hehe.”
• Riverside County Sheriff's Department (Calif.) employees ran searches in 2024 for “Haha.”

"Don’t Know, Don’t Care" Approach

• Kankakee County, Sheriff's Office (Ill.) employees ran searches (2023–2025) for “idk” or “idk lol.”
• Goshen Police Department (Ind.) ran searches (May–June 2025) for “idk.”
• Fishers Police Department (Ind.) ran searches in May 2025 for “blah.”
• A Pasco Police Department (Wash.) employee searched for at least four different license plates, leaving "robbery i don't remember the case number leave me alone" in the reason field.
• The San Diego Sheriff's Department (Calif.) ran searches in May 2025 with "idk" in the reason field. 
• More than 30 agencies ran more than 6,300 searches with "TBD" (short for "To Be Determined") as the "reason." These included the Arizona Department of Public Safety, the Manteca Police Department (Calif.), and the Baton Rouge Police Department (La.). The Priceville Police Department (Ala.) alone ran 1,954 searches with reasons "TBD." 

Insults and Inappropriate Searches

• Belton Police Department (Mo.) ran searches (Aug–Sept 2024) for “d*ckhead.”  (asterisk/redaction our own)
• A Manteca Police Department (Ill.) employee ran searches in June 2024 for “sh*thead”  (asterisk/redaction our own)
• A Norton Police Department (Mass.) employee ran searches in December 2024 for “Sexy.”
• Corona Police Department (Calif.) employees ran searches (2023–2025) for “weird” or “WEIRD KID.”
• Thornton Police Department (Colo.) employees ran several searches in October 2025 for “driving around being weird.”
• A Columbus Police Department (Ohio) officer ran searches in 2023 for “idiot.”
• A Michigan City Police Department Officer (Ind.) ran searches in June 2025 listing “f*ck this new search engine.” (asterisk/redaction our own)

Button Mashing 

Button mashing audit logs sample

One of the more alarming discoveries we found in the network audit data is a large number of "reasons" that appear to be nothing more than an officer mashing buttons. These typically involve a nonsensical long string of characters from the same line or area of the keyboard.

For example: 

• An Eatonton Police Department (Ga.) employee ran searches with reasons such as HJKNUILH, uiokjk.kuj, GJLHBNMN, hjhbnmg, and iuohjk.
• An Atlanta Police Department (Ga.) employee ran searches with asdfga as the reason. 
• Bay County Sheriff's Office (Fla.) employees ran searches with reasons such as  ;'lkjh, /lkjh and lkjhg.
• A Brown County Sheriff's Office (Wis.) employee ran searches with reasons such as gyghkkghghjkghjk, ggyjgyujdsrdghdfhjkghjghk, HJHJKLHLKHJK, hjjkjkhjkljk and JHLJKHHJKL.
• A Lake County Sheriff's Office (Ohio) employee ran searches with reasons such as asdfg and ghjkl, and a second officer ran a series of searches that started off with "investigation" but then devolved into button mashing, including: 
• Investigatafy, Investigatafyd, Investigatafydl, Investigatafydlh, investigatafydlhj, investigatafydlhji, investigatafyfdlhji, investigatafyfdlhjigkfgty, investigatafyfdlhjigkfgtyy, investigatafyfdlhjij, investigatafyfdlhjik, investigatafyfdlhjikf, investigatafyfdlhjikfg, investigatafyfdlhjikfgty, investigatafyfdlhjikfgy and investigatafyfdlhjiy.
• A Moore Police Department (Okla.) ran searches with reasons such as jhjhjkhj, jhjkhjh, jhjkhjkh, jkhhkjhjk, Jkhjkhj, Jkhjkhjk, Jkhjkhjkh, jkhjkhkjh, jkjkhjkh, kjjkhjk, loiuiou, ukjhjkh and ulkuiou.
• A Westlake Police Department (Ohio) employee ran searches with reasons such as fghjkl, ghjkl, and lkjhg.
• A Kentucky State Police employee ran searches with reasons such as mhghjk, mhgnhjkj, nbvcxcvbn, nmbvcbnm, and sdfghj. 

It's hard to imagine a situation where these characters add up to a legitimate police code. However, it's easy to imagine an officer cutting corners with a text field they know no one is checking, especially if they are accessing the Flock Safety app from their phones while driving. 

How Police Departments Are Responding

When confronted with these flagrantly unserious searches, police departments offered a mix of bureaucratic deflections and excuses. 

In response to EFF’s request for comment, Thornton Police Department (Colo.) claimed the system didn't require officers to select from a defined list at the time, but it does today. They also audited the “driving around being weird” searches, claiming they were all actually for "legitimate public safety purposes." 

Other police departments we reached out to for comment shared the following: 

• Richmond Police Department (Calif.) stated that the officers involved with the "Hehe" and "idk" searches were "counseled."
• Corona Police Department (Calif.) noted that the employees searching for "WEIRD KID" are no longer employed by the city for unrelated reasons.
• Columbus Police Department (Ohio) pointed to their union contract, stating their Inspector General only has jurisdiction to investigate incidents within the last 90 days, giving the officer who searched for "idiot" in 2023 a free pass.
• Belton Police Department (Mo.) promised a "thorough investigation" of the "d*ckhead" searches through existing union and personnel policies.
• Manteno Police Department (Ill.) said it will "review the searches and the circumstances surrounding them thoroughly" and "take whatever action is determined to be appropriate based on the facts and circumstances.”
• Manteca Police Department (Calif.) said: "Since the beginning of 2026, our personnel have been directed that the reason field for ALPR searches must identify the law enforcement purpose for the search and that 'TBD' is not an acceptable entry." The spokesperson added: "The presence of 'TBD' in the reason field in prior searches should not, by itself, be interpreted to mean that the associated search was conducted without a legitimate law enforcement purpose or that reasonable suspicion was required." EFF has asked the agency to clarify whether it verified the hundreds of "TBD" searches were legitimate, and we will update this post with a response if we receive one. 
• Fishers Police Department (Ind.) said that the detective that searched for “blah” has done so “when he has issues with the technology” and that the term “is used when he is actively using the technology to solve a criminal case, and the technology is not moving fast enough for him.” The department shared that “he has been told to use “test” in the future.”
• The Cobb County Police Department (Ga.) acknowledged that "TBD" stood for "To Be Determined" and is no longer an acceptable search reason: "We have instituted a new policy that took place after the dates listed in your audit that now require, in addition to a criminal offense and a reason, a case number for any search conducted on FLOCK." 
• The San Diego County Sheriff's Department says that it checked the cases where "idk" was used and determined "there was an active investigation associated with the searches." The department said that this was due to the reason field being optional at the time (which was true on a software level) but California law has required officers to document a purpose for accessing ALPR data since 2015. The sheriff's spokesperson says the reason field is now mandatory, and involves a dropdown menu. 

Other agencies did not respond to EFF’s requests for comment. We will update with responses as they are received.

The Cop Out of the Drop-Down Menu “Feature Update”

Under the guise of streamlining audit logs, in late 2025, Flock safety announced that they will be replacing the required, free-text search “reasons” with a pre-populated dropdown menu of generic offense categories. Since this update, officers are no longer required to type out why they are digging through a driver's movement history, and instead can select a pre-packaged option like "Traffic infraction" or “Other” in half a second. 

Replacing the requirement to articulate the reason for the search with one-click searches is a loss for transparency, but also may explain why audit logs including the searches we highlight in this piece significantly decreased since early 2026. 

The Punchline is Our Privacy

Entries like these defeat transparency, undermine accountability, and entirely fail to satisfy what many jurisdictions require by law or policy: an actual reason for the search. And this keeps happening because police use ALPRs as a convenient shortcut around constitutional privacy safeguards. 

In other contexts, such as searches of cell phone location information, police have to go to a judge, demonstrate probable cause, and get a search warrant. But because laws and courts have not caught up with the pace of ALPR technology, police do not do the same before searching ALPR databases. Instead, they are given free rein to track a person’s movements without a sliver of judicial oversight.

As we mention in our piece about the use of ALPR surveillance for low-level investigations, if a police chief stood in front of a city council and asked for permission to install hundreds of cameras just so his officers could investigate the high crime of "haha," they would be laughed out of the room. The same could be said if an officer asked a judge to sign a warrant to track someone down for "LOL."

The fact that these searches were not only missed by the agency supervising the officer, but by the often thousands of other agencies whose systems were searched, demonstrates how agencies cannot be trusted to oversee themselves. 

Mass surveillance is incompatible with a free society, and especially so when the people with access to this data are treating it like a joke. This ALPR mass surveillance—the indiscriminate, continuous collection and retention of location data on every driver, regardless of suspicion—should not exist. But because it does, EFF continues to urge courts and state legislatures to immediately step in and impose strict, enforceable restrictions to rein in this abuse. At an absolute minimum, this means mandating rigid data deletion deadlines and an ironclad warrant requirement. 

If police want the power to track a person's movements, they must be required to convince a judge with evidence and probable cause. They should not be able to bypass the Constitution with a search for "haha."

Once a month, Microsoft pushes a security update to all Windows users. Tomorrow’s is a new record:

Microsoft’s patch for September is a doozy, with a record number of roughly 972 vulnerabilities fixed and 112 of them meeting the high critical-severity threshold.

It was only two months ago that Microsoft patched a then-record 570 vulnerabilities. Then, last month, Microsoft patched some 620 of them. Google and other companies have also published record numbers of vulnerabilities in recent months. Two weeks ago, OpenAI, Anthropic, Amazon Web Services, Google, Microsoft, and 100 companies and organizations published an ...

MIT researchers have developed a new technique that helps generative artificial intelligence models find solutions to high-stakes problems.

In these settings, a plausible answer is not enough: The output often must also satisfy nonnegotiable safety, physical, or task-specific requirements, known as hard constraints.

The researchers developed a method that helps generative models meet these strict requirements without sacrificing the quality of their outputs. 

The key to their technique is to give the model more freedom during the generation process and enforce hard constraints on the final output, rather than at every intermediate step. 

In experiments spanning robotics, control of physical processes, and computer vision, the new method consistently satisfied the required constraints while identifying better solutions than existing techniques. 

This adaptable, plug-and-play technique works at deployment time, so it can be applied to pretrained generative models without retraining them. It can make such models more useful in applications where safety rules, physical laws, or other strict requirements cannot be violated. 

“The promise of generative AI is its ability to explore a rich space of possibilities, but the real world places boundaries on which possibilities are acceptable. Our approach lets us preserve that generative power while enforcing the nonnegotiable requirements of high-stakes or safety-critical applications,” says Navid Azizan, the Alfred H. and Jean M. Hayes Career Development Associate Professor in the Department of Mechanical Engineering and the Institute for Data, Systems, and Society (IDSS), a principal investigator of the Laboratory for Information and Decision Systems (LIDS), and the senior author of a paper on this technique.

Azizan is joined on the paper by lead author Zeyang Li, a graduate student in mechanical engineering and LIDS; and Kaveh Alim, a graduate student in IDSS and LIDS. The research appears this week in the IEEE Transactions on Pattern Analysis and Machine Intelligence.

Freedom to explore

Pretrained generative AI models, such as diffusion models like Stable Diffusion and flow-matching models like FLUX, are now widely available. These powerful models learn to create new data by transforming random noise. Their availability has enabled people to adapt them to a wide range of applications.

These highly capable models excel at providing answers that come close to satisfying most queries, but in safety-critical applications like robot path planning on a crowded factory floor, an answer that is “nearly correct” may not be good enough. 

For instance, a “nearly correct” path from one machine to another might still result in the robot colliding with a human co-worker.

In such safety-critical applications, users often employ a technique called projection-based sampling, which repeatedly forces the model’s partial solutions, called intermediate samples, to satisfy strict requirements during the generation process.

But constraining the entire generation process can prevent the model from reaching a better final solution. These methods also typically focus only on satisfying the hard constraints, missing the opportunity to improve other qualities of the solution, like reducing the length of the robot’s trajectory.

“For constraint satisfaction, what ultimately matters is the model’s final output, since the internal process is discarded. By not requiring every intermediate step to satisfy the constraints, we give the model more freedom to find high-quality solutions that are still feasible in the end,” says Li. 

The researchers developed an algorithm called HardFlow that steers the sampling process so that the final output satisfies the user’s hard constraints without being overly restrictive and is of higher quality.

Subtle steering

HardFlow reformulates hard-constrained sampling as a trajectory-optimization problem, using tools from the field of optimal control. This enables the framework to steer the model’s sampling trajectory toward a goal, making subtle corrections along the way while enforcing hard constraints on the final output.

“Control theory gives us a powerful framework for formalizing the optimal way of making these corrections,” Azizan says.

But solving the trajectory-optimization problem around an enormous neural network was no easy task. The model may have hundreds of interconnected layers that process data.

To make the problem tractable, the researchers leveraged the structure of flow-matching models to decompose the problem into a sequence of smaller, single-step subproblems. They then applied systematic transformations and approximations to derive an efficient, scalable algorithm that still finds a feasible solution. 

“Essentially, we transformed the trajectory-optimization problem into something that preserves the key properties of the original problem, but can be solved very efficiently at deployment time,” Azizan adds.

Reformulating the task as an optimization problem allows HardFlow to incorporate additional goals that can improve the quality of the final answer. For instance, HardFlow could find a collision-free path for a robot that is also the shortest distance to its goal.

“Our framework can jointly handle both aspects, which helps it perform much better than existing methods,” says Li.

Across experiments in robotic manipulation, maze navigation, and text-guided image editing, HardFlow achieved perfect constraint satisfaction while consistently outperforming baseline methods on measures of solution quality. 

For example, it enabled a robotic manipulator to avoid collisions with obstacles while also finding the quickest path to the target object. Most other methods either resulted in collisions or found paths that took significantly more time.

In addition, HardFlow’s computation time was comparable to or lower than that of most competing methods.

In the future, the researchers could extend the framework to settings in which the AI model itself can also be updated, so that constraint satisfaction and sample quality can be improved in a more adaptive manner. 

The world needs more homes. The world also has too much plastic. Perhaps the only thing those two problems have in common is that they’re hard to solve.

Atlas Building Composites, a spinout of MIT, is on a mission to address both problems with a single solution. The company has developed an AI-powered robotic manufacturing platform capable of turning single-use plastics into durable building materials.

The company emerged from MIT HAUS, a research effort in the MIT Department of Mechanical Engineering that’s short for “Home Architecture for Universal Sustainability.” Atlas uses waterless plastic recycling and large-scale composite additive manufacturing technology to make parts like home foundations, decks, and trusses for walls, floors, and roofs.

“Our mission is to convert waste plastic pollution into durable composites to build 1 billion homes,” says Atlas chair and co-founder A.J. Perez ’13, MNG ’14, PhD ’23, who is also an MIT research scientist. “You can’t divorce these things from each other. We’re not here just to build homes, and we’re not here just to recycle plastic. The conventional way of building homes involves cutting down trees, mining, refining, and a bunch of other dirty activities. We want to avoid all that and address all the plastic bound for our oceans and landfills. We’re turning bottles into buildings.”

Atlas’ parts are already being used to support barns, sheds, decks, and docks. Most recently, the company supplied the U.S. Army Corps of Engineers with American-made recycled composite trusses to construct a 40-foot bridge in a Massachusetts wetland.

Perez and Atlas co-founder Matt Pouliot envision deploying thousands of their AI robotic production systems around the world. A key enabler for that scale is the company’s ability to recycle low-grade plastic into building components without water.

“This is key to democratizing recycling,” Perez says. “Now, every country around the world, regardless of their water access, will be able to do something about their plastic. We strive to study these issues in the real world, not just a lab. When you talk to government officials about creating a new recycling facility, they have to get the local water agency involved, there’s permitting, etc. A lot of that work disappears with the waterless recycling process.”

Research for impact

Since earning his PhD at MIT, Perez has been developing advanced fabrication techniques for homes and new techniques for plastic recycling. In 2019, he started MIT HAUS with David Hardt, MIT’s Ralph E. and Eloise F. Cross Professor in Manufacturing.

“It started with the simple mission of enabling the production of 1 billion homes over a 30-year period,” Perez says. “Then we realized how much the materials needed for those homes would strain global supply chains.”

Perez says building those homes using conventional methods would require a doubling of global production capacity for materials like concrete, not to mention a dramatic acceleration of global deforestation.

“That’s where the light bulb went off,” Perez says. “There’s this other problem humanity has, which is 8 gigatons of plastic that have been produced and are polluting our oceans, rivers, and cities. We decided to plug two really big, hairy problems together.”

Perez met Pouliot, a former Maine senator, and the pair started Atlas to commercialize the technology Perez had been developing at MIT. The founders worked with MIT’s Technology Licensing Office and have since worked with researchers at other universities to independently develop technology for the company’s robotic manufacturing platform, which the founders call the Atlas Factory Stack.

First, single-use plastic from water bottles and other objects is shredded and fed into the Atlas system, where it is melted and fused with American-made fiberglass to make it stronger than wood. From there, a large-scale 3D printer creates the parts, including trusses for floors, walls, roofs, and bridges.

Through research at MIT, Perez has shown large composite trusses can be printed in under 13 minutes and support over 4,000 pounds, exceeding key building standards.

“At MIT, we’ve demonstrated we can produce 60 to 80 pounds of parts per hour, and the systems we’re specifying in Atlas factories operate in the 150 to 200 pound per hour range,” Perez says. “There’s the potential for our robotic manufacturing platform to produce each part at a lower cost than injection molding, and it’s far more flexible and convenient. For example,  we can manufacture the parts in the reverse order so that they’ll be placed on the finished goods pallet next to the machine.”

The founders envision Atlas as a technology provider enabling the creation of home factories close to wherever homes need to be built. Today, each Atlas factory cell is capable of producing the structural framing components for about one small home per day.

“The old way of doing things would be some huge factory in China would mass produce one type of part and ship it far away,” Perez says. “I don’t think that’s good for the planet. Another reason we don’t use injection molding is economic: Mega factories don’t produce as many jobs and have a much higher carbon footprint. We want this to be localized to benefit local communities. The plastic is already everywhere. The more local Atlas is, the lower the cost and footprint.”

Going global

Plastics last far longer than wood, especially for applications where they’re in contact with the ground or water. That adds to the company’s environmental benefits.

“If you get a material into the building world and it does its job, it’s going to be used for a very long time and not need to be recycled again for a very long time,” Pouliot says. “That’s important because when you recycle something over and over again, it degrades. This is one of the most sustainable use cases for recycled petrochemical products.”

Atlas’ bridge with the Army Corps of Engineers was installed in less than a day. The founders are also in talks with international franchise partners to deploy the Atlas Factory Stack across the globe.

“To accomplish our mission, I fundamentally believe it’s not going to be one far-away company dominating the industry,” Perez says. “It’s going to be every country leveraging Atlas Factory Stacks to create local recycling jobs, local factory jobs, local construction jobs, and to stimulate their economies with local materials.”

Nature Climate Change, Published online: 14 September 2026; doi:10.1038/s41558-026-02740-8

Marine carbon dioxide removal must advance through rigorous, transparent science, but caution cannot become paralysis. With billions of tonnes of carbon removal likely to be needed each year, we need to test promising approaches responsibly while uncertainty remains.

Smells awful:

But an estimated 30 to 50 tons of dead squid remain inside the boat’s catch tank, where they have been decomposing for days. “That is nasty. I wouldn’t want to do that,” said commercial fisherman Dick Ogg of the Bodega Bay Fishermen’s Marketing Association.

Ogg said anyone familiar with the fishing industry understands what happens when a large catch sits for an extended period.

“If you think about what happens after four or five days, it’s a gooey mess,” he said.

The odor has become a defining feature of the operation, and the beach remains closed to the public while crews work on a removal plan...

Governor Newsom signed a package of 12 bills yesterday aimed at “protecting children” online. One of them was AB 1709, which EFF has opposed this legislative session and serves as a functional ban on young people under 16 using social media. However, EFF supported two of the bills signed into law, AB 2071 and AB 2298, which require that children learn critical digital literacy and cybersecurity topics. The bills are an affirmative and constitutional way for the state to address valid concerns about young people’s internet use without violating their First Amendment rights.

Unlike blanket bans, A.B. 2071 and A.B. 2298 address online safety through education rather than prohibition. Young people rely on the internet not just for entertainment, but for civic engagement, education, self-expression, and community—especially vulnerable youth who may lack support in their physical surroundings. This is why real digital safety comes from preparation, not isolation. Research consistently shows that open, honest conversations about digital literacy and privacy with trusted adults are far more effective at protecting youth than restrictive censorship laws. Young people themselves recognize this need; in fact, A.B. 2071 was co-authored by a group of students actively seeking better resources to navigate their digital lives safely.

Education vs. Censorship 

A.B. 2071 and A.B. 2298 fill critical gaps in California’s school curricula by equipping students with actionable skills. A.B. 2071 integrates digital wellness into middle and high school health classes, teaching students how to identify unhealthy tech habits, protect their personal safety, and evaluate digital content—including AI-generated media—for credibility and bias. Meanwhile, A.B. 2298 adds cybersecurity concepts to recommended school curricula, teaching young people how to safeguard their personal data from online threats.

While the state’s turn toward social media bans remains a harmful and misguided policy direction, the passage and signing of A.B. 2071 and A.B. 2298 show there is a better way. Lawmakers must stop treating censorship as a quick fix and instead focus on constitutional, empowering solutions that give youth the tools they need to thrive online. 

Last month, I gave a talk at DEF CON on AI hacking: what happens when AIs become hackers. It’s a combination of the potentialities I raised in my 2022 book A Hacker’s Mind and the lessons we’re learning from current AI models engaging in hacking behavior. I’m really proud of the talk, and the fact that it gained over 100K views on YouTube in just a few days.

Also online is an interview with me in the AI Village.