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Cultivating Data-Driven Approaches with Plant Science
Launched this winter, the Data-Driven Plant Science course bridges experimental biology with embedded sensing, bioinformatics, and machine learning.
Protein traffic jams may explain aging, memory loss, and Alzheimer’s
Scientists at Stanford may have uncovered a hidden reason our brains decline with age. Studying the ultra-short-lived turquoise killifish, researchers discovered that the cellular machinery responsible for building proteins begins to jam and malfunction over time. Tiny structures called ribosomes start colliding and stalling while reading genetic instructions, triggering a chain reaction that leads to faulty proteins and harmful clumps linked to diseases like Alzheimer’s.
Call Of Duty Warzone Is Shutting Down On PS4 And Xbox One
The popular battle royale will no longer be playable on the older machines later this year
Steam Deck's Massive Price Hike May Not Bode Well for Steam Frame
Valve announced that Steam Deck is getting a sizable price hike, bringing an increase of $240 to $300 to its handheld gaming PC–not exactly a vote of confidence for those of us waiting for Steam Frame, its upcoming standalone VR headset. The company revealed the 512 GB OLED Steam Deck has increased from $549 to […]
Exclusive | The Trump Administration Is in Talks to Fund U.S. Drone Companies
Neros and Donald Trump Jr.-linked Unusual Machines are among the companies in deal talks.
Exclusive | The Trump Administration Is in Talks to Fund U.S. Drone Companies
Neros and Donald Trump Jr.-linked Unusual Machines are among the companies in deal talks.
You can print, slice, and engrave using this desktop crafting machine
Get your Etsy sticker shop off the ground with this single machine.
ASUS ROG Zephyrus Duo review: Outrageously expensive, totally awesome
The ASUS ROG Zephyrus Duo is a gamer’s dream machine, but its price is a nightmare.
Nanoparticles genetically modify several human cell types
In a demonstration that helps pave the way for gene therapies with fewer side effects, several human cell types were genetically modified with protein nanoparticles designed at University of Michigan Engineering and Michigan Medicine.
Loyola’s Data Science in Everyday Life
Loyola University Maryland will hold “Data Science in Everyday Life: Applicability, AI, and Other Trends,” a networking and panel event exploring data science from a range of perspectives across industry and government.A keynote address delivered by data science industry expert David Norton, MBA ’95, will begin the event. Norton is the chairman and chief marketing officer of GALE Partners, a digital and analytics-based branding agency. He was named Chief Marketing Officer of the Year in 2010 and wrote “The High Roller Experience,” a book about data-driven marketing.Norton will moderate the panel discussion, which includes:• Elise Beisecker, senior data scientist in the U.S. Government Accountability Office• Amanda Muller, Ph.D., chief of responsible technology at Northrop Grumman• Franklin Hernandez, MBA ’13, M.S. ’20, senior lead machine learning engineer at Booz Allen Hamilton• Joseph Girsch, M.S. ’21, machine learning analyst at The Johns Hopkins University Applied Physics Laboratory• Mark Wicks, retired vice president of data science, data scientist, machine learning engineer and software developerHernandez and Girsch each earned an M.S. in Data Science from Loyola.The event is free and open to the public. Networking and appetizers will begin at 5:30 p.m. followed by the keynote address and panel discussion at 6:30 p.m. and audience questions and closing remarks at 7:30 p.m. To learn more and register to attend or stream the event online, visit the event webpage.
Jim Cramer Reveals Why International Business Machines (IBM) Should Be Doing Better
We recently published Jim Cramer Discussed These 10 Stocks Including A Hidden Gem & An AI Short. International Business Machines Corporation (NYSE:IBM) is one of the stocks discussed by Jim Cramer. International Business Machines Corporation (NYSE:IBM)’s shares have struggled recently as they are down by 1.9% over the past year and by 12.9% year-to-date. RBC […]
China’s machinery giant XCMG eyes bigger scoop of global sales
State-owned firm banks on intelligent manufacturing, green technology, product integration and digital services to boost sales overseas.
6 kitchen gadgets that make adulting feel easier
From a robot stirring your soup to a bread machine that kneads your dough, here are 6 gadgets that may make you feel like you’ve won adulthood.
Kyle Juszczyk Spills Kyle Shanahan's Secret to Offensive Success
The 49ers fullback reveals how the head coach’s mastery of defensive schemes allows him to exploit opponent assignments and maintain an elite, foolproof offensive machine.
Man killed when machine malfunctions at N.J. business
Firefighters extricated the man but he was pronounced dead at the business.
International Business Machines (IBM) Is Up 15.8% After Announcing $2 Billion Anderon Quantum Chip Foundry Partnership
Earlier this week, IBM and the U.S. Department of Commerce announced a Letter of Intent to create Anderon, America’s first pure-play quantum chip foundry in Albany, New York, backed by US$1.00 billion in CHIPS incentives and a matching US$1.00 billion cash commitment from IBM plus intellectual property and staff. This partnership not only cements IBM’s role at the core of the U.S. quantum ecosystem but also creates a dedicated 300‑millimeter quantum wafer facility intended to supply multiple...
Steam Machine appears on official Vulkan 1.4 conformant products list
Steam Machine listed with NAVI33 and Vulkan 1.4 support Mesa/RADV listing confirms Vulkan 1.4 CTS pass for AMD Steam Machine Valve’s upcoming Steam
Bond breakout? Big effects of bad data. Immigration and thermostatic politics & dad-chat is coming for dad-books.
Thank you for opening your Chartbook email. Anna Airy, A Shell Forge at a National Projectile Factory, Hackney Marshes, London, 1918 Bond breakout - John Authers Across the developed markets, bond markets are staging a slow-motion car wreck. Looking at the drastic moves in the US, Japan, the UK and France, Barclays’ Ajay Rajadhyaksha commented: “Last week, long bonds broke. Not in one country. In all of them. Simultaneously. Four countries. Four different political systems. Four different central banks. But the same trade — “get me out of duration!”” Each country has its own contributing political problems, but the uniformity of the shift out of long-term bonds with high duration makes clear that something broader is afoot. For Rajadhyaksha, it is “simple and uncomfortable.” The developed world “has too much debt, too little fiscal discipline, and no political appetite for fixing either.” If there’s a trigger, it has been the Iran war and the resulting shock to oil supply. Source: Bloomberg G7 countries are now borrowing at rates that were enjoyed by EM in the early 2020s For contributing subscribers only. Subscribe Trade between China and Russia has grown in recent years For contributing subscribers only. Subscribe Big effects of bad data A decade ago nearly nine in ten Americans, when approached, agreed to fill out the Current Population Survey, which is administered to about 60,000 households each month and asks about, among other things, employment. Fewer than seven in ten do so now (see chart 1). For the Consumer Expenditure Survey, which tries to capture 3,700 households monthly, the response rate is down from 68% to 40%. … When the information becomes less reliable, investment decisions get more difficult to make. Some may be delayed, creating a potential drag on the economy. A new working paper by Nicholas Bloom of Stanford University, Erica Groshen, former head of the Bureau of Labour Statistics (BLS) now at Cornell University, and Duncan Hobbs and Michael Strain of the American Enterprise Institute, a think-tank, hazards an estimate. Preserving trust in “the integrity and quality of official statistics”, the authors claim, generates economic benefits of about $25 for every $1 spent on the BLS, the agency with an annual budget of $700m that is responsible for many of these data. To arrive at their conclusion the quartet analysed an ignoble episode in the BLS’s recent history. On August 1st 2025 Donald Trump sacked Erika McEntarfer, appointed as the agency’s commissioner by his predecessor, Joe Biden. The president alleged, without evidence, that the BLS’s steep downward revision to recent jobs numbers had been “RIGGED in order to make the Republicans, and ME, look bad”. In fact, it was the wanton dismissal that looked bad in the eyes of many observers. In the following seven days there was a 50% leap, relative to the week before, in the average value of the index of Economic Policy Uncertainty (EPU), which tracks the number of articles mentioning such uncertainty that are published daily in American newspapers. This was a discernible jump even when compared to the chaos caused by Mr Trump’s trade war in April 2025 and his real one in Iran in the past two months (see chart 2). Based on Mr Bloom’s earlier study with other colleagues of the EPU’s impact on business investment, industrial production and employment, the authors estimate that the jump reduced American GDP by over $100bn (0.3%) and non-farm payrolls by 168,000 (0.1%). Source: The Economist Immigration and thermostatic politics (Sarah O’Connor in the FT) A strange thing happened a year and a half ago. No sooner had Americans elected Donald Trump as president on an explicitly anti-immigration platform than US public opinion began to swing much more favourably towards immigration. … to political scientists who study “thermostatic” politics, this development is no surprise at all. Public opinion often moves against the prevailing party, especially if they are perceived to have gone “too far” in one direction. The phenomenon was first explored in the 1990s with reference to fiscal policy, but in recent years it has been particularly evident in the realm of immigration policy. While these swings in opinion polls can make it seem as if people don’t know their own minds, they can be a useful democratic check on governments by sending bright flashing warning lights when policies stray too far from the public’s comfort zone. The problem comes when politicians misinterpret those signals. When people tell pollsters they want less immigration, or think it is bad for the country overall (or the converse), they are often expressing an opinion about how things appear to be going in that moment relative to their preferences, rather than a deep shift in their underlying views. According to Alexander Kustov, a political scientist, most Americans’ views are quite stable and moderate: they support immigration that is controlled and in the national interest, and oppose flows that are disorderly or under-enforced. In the US, he argues the Trump administration over-interpreted dissatisfaction with high immigration under Joe Biden, and implemented policies that went too far for many voters. “People don’t necessarily change their idea about their ideal immigration policy, but they can react to what the government is currently doing,” he told me. “A lot of people are not happy with what the Trump administration are doing — right now we’re not talking about border enforcement, we’re talking about people not just getting harassed, but killed.” But similarly, he added, pro-immigration advocates would be making a mistake to interpret the recent, more favourable swing towards immigration as a deep-seated ideological shift in attitudes. The recent history of UK immigration policy offers another cautionary tale. After the 2016 Brexit referendum, public concern about immigration fell. This was partly because net migration statistics declined, but also because people felt a sense of catharsis and control, says Sunder Katwala, director of British Future, a think-tank. By 2019, the public ranked immigration as only the ninth biggest issue of concern, according to Ipsos polling. But when the Conservative government liberalised visa routes for students and care workers between 2019 and 2022, that helped net migration to surge. And so, too, did public concern. Today’s Labour government has implemented another sharply restrictive turn in immigration policy. As Kustov and researcher Caitlyn Yates argue, thermostatic public opinion should be a useful check on politicians. Instead it seems to have helped to magnify the pendulum swing in the UK. The government over-interprets and overreacts to a change in public opinion, which reacts in turn, prompting a sudden swing the other way. Source: Financial Times HEY READERS, THANK YOU for opening the Chartbook email. I hope it brightens your day. I enjoy putting out the newsletter, but tbh, what keeps this flow going is the generosity of those readers who clicked the subscription button. If you are persuaded to click, please consider the annual subscription of $50. It is both better value for you and a much better deal for me, as it involves only one credit card charge. Why feed the payments companies if we don’t have to. Subscribe Anna Airy, Shop for Machining 15-Inch Shells: Singer Manufacturing Company, Clydebank, Glasgow, 1918 Racing for a vaccine … we have been here before! The deadly Ebola outbreak in two African countries driven by a virus species with no vaccine has triggered an urgent search for a potential jab, in a test of troubled global efforts to avert threats posed by emerging diseases. A World Health Organization advisory group is due to would meet on Tuesday to recommend candidate jabs to prioritise for clinical trials, the global health body said. It will assess data including an analysis by the Coalition for Epidemic Preparedness Innovations (Cepi), which was set up after failures in the international response to a previous Ebola crisis. The latest Ebola outbreak in Democratic Republic of Congo and Uganda has infected hundreds of people and killed more than 80, health authorities say. Cepi’s reaction will be a crucial indicator of its progress towards its wider goal of producing vaccines for pandemic threats in just 100 days, despite steep cuts to international health funding. “If there was ever a time that we could show the world why Cepi is needed and show the world why the 100-day mission is needed, it’s now,” Nicole Lurie, the organisation’s executive director for preparedness and response, told the FT. “We’re happy to accept that responsibility, but obviously we need help from partners — particularly financial help in the long run.” DR Congo and Uganda would make the final decision on whether to press ahead with any vaccine candidates endorsed for clinical trials by the WHO experts, the global health body said. “Other ethical and community acceptability issues will be considered,” said the WHO, which declared the latest outbreak a public health emergency of international concern on Sunday. “This will be important to make sure that the trial, if it happens, will be adequately communicated to the population.” Lurie said Cepi had provided information from a survey of research teams and companies working on drugs that might be effective against the Bundibugyo virus behind the outbreak. The organisation hoped soon to announce partners in the quest for a jab, she added, although she declined to give a timescale for when one might be developed. Cepi’s Nicole Laurie said global health bodies were ‘getting some live-fire drills’ with hantavirus and the latest Ebola outbreak. The hunt for a vaccine should be helped by scientific advances including the use of artificial intelligence to find drugs active against viruses, Lurie said. Existing jabs against the Zaire Ebola virus responsible for many previous outbreaks might provide a basis for tackling the Bundibugyo species, she added. “We’ll see how far and how fast we can get,” Lurie said, adding that Cepi had done preliminary work recently on a possible jab for the rat-borne hantavirus responsible for a recent fatal outbreak on a cruise ship. “Both with hantavirus and now with Ebola, [we] are getting some live-fire drills.” Source: Michael Peel in the Financial Times Dad-chat is coming for dad-books. (By Pamela Paul and Jeffrey A. Trachtenberg in the WSJ) They were the go-to gifts for Father’s Day: a book about some little-known chapter of World War II, the sweeping narrative of a shipwreck, perhaps the latest presidential biography. These days, dad books are a dying breed. Nonfiction book sales have been in decline for the past four years, and are now the most challenged segment of the print book market. Publishers say certain types of books still fare well—including celebrity memoirs and religious titles. But in recent years, print sales in such categories as biography, current affairs and business and economics—what publishers refer to as “serious nonfiction” and which tend to resonate especially with men—have fallen considerably. Sales of nonfiction print titles were down nearly 8% through May 9 this year, and sales of books about politics and current affairs were down 19%, according to book tracker Circana BookScan. Publishing has long been subject to cyclical changes, with trends in format and genre taking over bookshelves in grand sweeps. (Remember the adult coloring-book craze? Or the stratospheric rise of romantasy?) But many in publishing believe the decline in serious nonfiction is more existential. “The trend couldn’t be clearer,” said Jonathan Karp, the former chief executive of Simon & Schuster and publisher of the new Simon Six imprint. “This is a sea change and people should wake up and realize we’re living in a new world.” One culprit for the shift: a new media diet for fans of more serious nonfiction. … Sixty-two percent of men and 54% of women consumed a podcast in the prior month, according to a recent survey by Edison Research at SSRS, up from 46% and 39%, respectively, in 2023. “When we have internal meetings to talk about this problem, it always comes around to podcasts,” said Jonathan Burnham, president and publisher of the Harper Group at HarperCollins Publishers. “The man who wants to read American history is now tuning into one of the many good podcasts about history that lends the quiet attention to a serious subject he’s looking for. It makes the idea of sitting down with a 700-page Ron Chernow book less appealing. You’ve scratched that itch.” Source: Wall Street Journal Remarkable report by Novara from the nationalist rally in London in mid May. Anna Airy, Leopard Moth and Plums, 1915 If you’ve scrolled this far, you know you want to click: Subscribe
Galaxy Zoo: Clump Scout II
Identify star-forming clumps in galaxy images, and help train machines to do the same.
Hunter Flynn Signs With Big Machine Records/Nashville Harbor Records & Entertainment
Singer-songwriter Hunter Flynn has signed with Big Machine Records/Nashville Harbor Records [...]
UNT launches new Bachelor of Science in AI
The University of North Texas is launching a new Bachelor of Science in Artificial Intelligence, preparing students for careers in machine learning, AI systems and emerging technologies.
AI & Science: What Is the Future of Discovery?
Continued progress in artificial intelligence, its expanding usefulness in science, and its contributions to landmark advances suggest that we may have entered a new era of AI for science.The breakthroughs so far—such as predicting the structure of practically every known protein, with profound implications for our understanding of biology, health, and the treatment of disease—are notable not only for what was achieved but also how it was achieved and what that suggests for scientific progress. This special double issue of Dædalus poses the question: What is the future of scientific discovery in this new age of AI? Thirty-three scientists responded. Bringing perspectives from life sciences and medicine, cognitive science and neuroscience, the physical and earth sciences, chemistry and materials science, computer science, mathematics and the social sciences—they draw on their work at the frontier of AI and science. The authors write with an eye to the future, not just the present. They explore what is being achieved and what possibilities lie ahead; examine AI’s limitations and efforts to move forward; and investigate the larger implications of AI-assisted science—on how science is done, the role of the scientist, and the scientific method, as well as the challenges and complexities involved.The authors together exemplify a long-standing bidirectional relationship: AI advancing science, while science advances AI. Where that relationship will take us—a golden age of discovery? New scientist-machine collaborations? Autonomous labs? Discoveries without human understanding?—is a future we are only beginning to imagine, and one we must also shape if the beneficial possibilities are to be realized.Image: UMAP sculptures visualizing three Dædalus volumes on artificial intelligence. © 2026 by Refik Anadol.
AMD Announces Ryzen AI Halo, the Compact DGX Spark and Mac Mini Rival
AMD today released Ryzen AI Halo, a compact AI development computer designed by AMD to serve as a nearly full-stack machine for AI development, inferencing, and generative AI content creation. Ryzen AI Halo is designed to strike a unique balance of price, performance, and capabilities that rival App...
Can we harness quantum effects to create a new kind of healthcare?
Experiments hint that quantum mechanisms are vital to the machinery of life. Now researchers are exploring if these effects help to explain the success of an array of puzzling health treatments
NASA Transfers Management of Lunar Science Instruments
NASA has transferred management of two lunar science instruments to Intuitive Machines, due to the instruments' principal investigators and science team
Bridging Systems: How Kentucky is Improving Response to Emerging Health Threats
Learn how Kentucky is integrating public health and health care emergency programs to improve their emergency readiness in this blog.
New MatterChat Model Helps AI to ‘See’ the Language of Science
From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this leaves a major blind spot in the physical sciences, where models depend on the high-resolution, three-dimensional data of the physical world, like the intricate lattice of atoms in a crystal. Delivering on the promise of using AI for science requires teaching these data-driven text models to seamlessly “talk to” physics-based models. Now, a new AI framework from Lawrence Berkeley National Laboratory (Berkeley Lab), called MatterChat, solves this problem by creating a specialized “bridge.” It connects the conversational power of a Large Language Model (LLM) with a physics-based AI that models “interatomic potentials”: the complex physical forces between atoms. The resulting system already significantly outperforms general-purpose AI tools like GPT-4 at predicting material properties, and the team hopes it can accelerate scientific discovery by serving as a robust research partner that provides grounded insights and generates step-by-step instructions for synthesizing novel materials. A paper describing this work was recently published in Nature Machine Intelligence. “Traditional simulations can provide the physical rigor required for materials science, yet their computational cost remains prohibitive for high-throughput screening. Conversely, while LLMs excel at rapid knowledge synthesis, they inherently lack the ‘structural vision’ to interpret materials directly from their underlying atomic coordinates,” said Yingheng Tang, a postdoctoral researcher in Berkeley Lab’s Applied Math and Computational Research Division (AMCR) and lead author on the paper. “MatterChat was built to solve this dilemma, empowering LLMs with a structural ‘vision’ that allows researchers to leverage their full potential for solving complex, real-world materials challenges.” Empowering language models to solve complex challenges in materials science To build MatterChat, the Berkeley Lab team drew inspiration from technologies like Vision Question Answering (VQA) and Text-to-Image (T2I) generation. In these tasks, AI must translate high-level text concepts into visual images, or vice versa. Doing so requires developers to build tools that “bridge” two fundamentally different forms of data. The researchers adapted this concept to the physical sciences. With MatterChat, they created a “bridge model” that successfully connects an LLM’s general knowledge with the deep understanding of the atomic-scale world encoded in scientific interatomic potentials. Until now, researchers using LLMs to solve materials problems usually had to feed them raw data files as if they were just strings of text. It’s like asking an AI to understand a complex 3D engine based only on a parts list: the LLM can read the names, but it can’t “see” how the atoms fit together in space. MatterChat solves this by training a specialized AI bridge model, pre-trained on millions of crystal structures and an LLM, to align the LLM’s representation of the world with the interatomic potential’s representation of the world. The bridge model can translate physical insights into a format the LLM can actually understand. By giving the LLM these “scientific eyes”— a scientific “inductive bias” in the terminology of AI — the Berkeley Lab team has transformed it into a robust research tool capable of providing grounded scientific insights into complex materials challenges, such as predicting thermal stability or analyzing electronic band gaps. “We think of atoms as living in a physical space, but from a machine learning perspective, they are just vectors living in some very non-trivially structured manifold in a high-dimensional Euclidean space; and, of course, the same is true for the sentences and paragraphs that we use to express our ideas about those atoms,” said co-author Michael Mahoney, Berkeley Lab’s Scientific Data Division (SDD) AI Initiative Research Lead. “The bridge model basically gets those two structures to ‘talk with’ each other.” As a proof-of-concept of this general approach, the team trained their bridge model on a dataset curated by pairing nearly 143,000 stable atomic structures from the Materials Project with their corresponding physical properties. This training data was automatically assembled using the Materials Project’s API and deliberately enriched with properties fundamental to microelectronics design — like formation energy and bandgap — allowing MatterChat to learn the complex patterns connecting a material’s atomic blueprint to its functional performance. To validate their model, the researchers benchmarked MatterChat against a suite of other AI systems, from general-purpose LLMs to other specialized scientific AI methods. The results show that MatterChat consistently outperformed its competitors across a range of tasks. The model was more accurate in classifying material types and demonstrated superior precision in predicting numerical properties. For example, it excelled at predicting a material’s bandgap, a property critical for designing new electronics from high-capacity energy storage to next-generation computer chips. “Our design is significantly more efficient because we don’t have to build a massive AI model from the ground up,” said co-author Zhi (Jackie) Yao, a research scientist in Berkeley Lab’s AMCR. “Instead, we take two powerful, pre-trained models — a structural encoder for materials physics and an open-source LLM — and use them off-the-shelf. The only component we actually train is the lightweight ‘bridge model’ that translates between them. It’s the difference between building an entire car factory and simply designing a smart adapter that connects a world-class engine to a world-class navigation system. This approach is not only computationally efficient, but also makes the system modular, so we can easily upgrade components or adapt the bridge for other scientific domains in the future.” Crucially, this modular design highlights exactly how institutions like Berkeley Lab and the Department of Energy are carving out a highly valuable niche in the booming AI landscape. Rather than competing with Silicon Valley tech giants to build ever-larger language models from scratch, the lab is focusing on the specialized connective tissue that makes commercial AI useful for hardcore science. Because the bridge model approach underlying MatterChat is forward-compatible, it is perfectly positioned to leverage these parallel tracks of innovation. As Mahoney pointed out, “We expect that industry will continue to develop improved LLMs, and we expect domain scientists and facilities will continue to generate new data. An important part of scientific machine learning is not simply to solve problems on today’s data, but instead to develop general methods that will be forward-compatible with orders of magnitude more data, whether from scientific domains or from LLMs.” According to Yao, the MatterChat project, which was initially developed and enhanced with funding from a Berkeley Lab Laboratory Directed Research & Development (LDRD) Program, will now expand its capabilities. In a collaboration with Fermilab, MatterChat is already contributing to a U.S. Department of Energy Genesis Mission project — called Accelerating eXtreme Environment Specs-to-Silicon (AXESS) — that aims to speed up the development of next-generation, high-speed, radiation-hardened detectors for challenging particle physics experiments by using advanced 3D integrated circuits (chiplets) and AI-driven data analysis. In addition to the LDRD support, the team also credits supercomputing resources at the National Energy Research Scientific Computing Center (NERSC), located at Berkeley Lab, with MatterChat’s success. “We are incredibly grateful to NERSC; this research simply would not have happened without access to the Perlmutter supercomputer through their AI for Science program,” said Tang. Wenbin Xu, a NERSC postdoctoral fellow at the time, was also a major co-author of the work, as was Benjamin Erichson, a research scientist in Berkeley Lab’s SDD, highlighting the benefits of AMCR-SDD collaboration on AI for science. ### Lawrence Berkeley National Laboratory (Berkeley Lab) is committed to groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab’s expertise spans materials, chemistry, physics, biology, earth and environmental science, mathematics, and computing. Researchers from around the world rely on the lab’s world-class scientific facilities for their own pioneering research. Founded in 1931 on the belief that the biggest problems are best addressed by teams, Berkeley Lab and its scientists have been recognized with 17 Nobel Prizes. Berkeley Lab is a multiprogram national laboratory managed by the University of California for the U.S. Department of Energy’s Office of Science. DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.
Sunday Preview – Mighty war machines in the Age of Darkness
Tracked reinforcements arrive for the Legiones Astartes in next week’s pre-orders.
Scientists discover why some cancers survive chemotherapy
Scientists have uncovered a surprising new trick used by one of cancer’s most notorious proteins. MYC, already infamous for fueling runaway tumor growth, also appears to help cancer cells survive by repairing their damaged DNA — including damage caused by chemotherapy and radiation. Researchers found that MYC can rush directly to broken DNA and recruit repair machinery, effectively helping tumors recover from treatments meant to destroy them.
Prep Sports Report: Brossart scoring machine takes team title in Class 1A girls region track meet
By Terry Boehmker NKyTribune sports reporter The Brossart girls track and field team was a scoring machine that produced points in nearly event during the Class 1A, Region 4 meet on Friday at Brossart. In 11 of the 18 events, Brossart picked up 10 points or more and finished with a 166 team total to...
Kalihi machine shop closing after 80-plus years in business
Takeguchi owns and runs the family machine shop that his parents, Ted and Barbara Takeguchi, opened on Queen Emma Street in downtown Honolulu in 1944.
Inside the furor plaguing Democratic National Committee leader Ken Martin
Democrats keep winning at the ballot box. And yet Ken Martin, the man leading the Democratic National Committee, is facing a crisis of confidence among party officials who are increasingly concerned about the health of their political machine barely a year into his term.
Political Inequality Isn’t Responsible for Economic Inequality
Jennifer Gaudette finds that election officials can increase trust in elections by informing citizens of basic facts, such as that election machines are not connected to the Internet.
Class of 2026: Data Science Student Ready to Support Small Businesses and Underserved Communities Through Cybersecurity and AI
By Kelsey Kendall For Makendra Crosby (B.S. ’24), data science and cybersecurity are not just about numbers and computers, they are about people. As she prepares to graduate with her master’s in data science and analytics with a concentration in artificial intelligence and machine learning, she is focused on using her skills to serve others and make technology more accessible.
Indiana Jones and the Great Circle Nintendo Switch 2 tech analysis, including frame rate and resolution
Digital Foundry has provided its technical analysis of Indiana Jones and the Great Circle on Nintendo Switch 2, which goes over the game’s frame rate, resolution, and more in detail. Overall, MachineGames has produced what looks to be a solid port. The game even retains ray tracing and other graphical features present in other versions. Here’s the full roundup of...
International Business Machines Corporation (IBM): Using Blockchain to Build Trust In AI
International Business Machines Corporation (NYSE:IBM) is one of the most undervalued blockchain stocks to buy now. On May 5, International Business Machines Corporation (NYSE:IBM) announced a broad expansion of its products and capabilities at its Think 2026 conference. In all this, there was a big focus on AI. For instance, the company unveiled expanded capabilities […]
Thinking Machines Lab sees key talent leave for Meta, OpenAI, xAI
Thinking Machines Lab, led by former OpenAI CTO Mira Murati, faces talent loss to rivals like Meta amid Silicon Valley's competitive AI sector.
Scientists discover a weak spot shared by polio and common cold viruses
Scientists at the University of Maryland, Baltimore County, have uncovered a crucial trick used by enteroviruses—the group behind diseases like polio, myocarditis, encephalitis, and even the common cold—to reproduce inside human cells. The team captured, in unprecedented detail, how viral RNA recruits both viral and human proteins to assemble the machinery needed for replication, acting almost like a molecular “on-off switch” that controls whether the virus copies itself or makes proteins.
Indiana Jones and the Great Circle's Nintendo Switch 2 port is finally here and it holds up pretty well
Bethesda and MachineGames' Nintendo Switch 2 port of Indiana Jones and the Great Circle is a looker with robust performance and a few neat tricks.
Thinking Machines wants to build an AI that actually listens while it talks
Right now, every AI model you've ever used works the same way. You talk, it listens. It responds, you listen. Thinking Machines is trying to change that by building a model that processes your input and generates a response at the same time, so it's more like a phone call than a text chain.
Chicago-area burglars target gaming machines in businesses: 'They're in and they're out'
Chicago police are searching for a group of suspects caught on camera smashing their way into a South Loop cannabis store early Monday.
Here’s what Mira Murati’s AI company is up to
Thinking Machines is showing off something called “interaction models.”
Valve Has a Plan to Stop Scalpers From Botting the Steam Machine
It's what Valve should have done with the Steam Controller from the start.
OSF–ISU Data Science Competition Highlights Student Innovation and Healthcare Analytics Excellence
Illinois State University students showcased innovative machine learning models and predictive analytics solutions during the OSF–ISU Data Science Competition, addressing real-world healthcare challenges through collaboration with OSF HealthCare.
Update Hints Steam Machine Will Arrive in 512GB and 2TB Versions, Despite AI-led SSD Pricing Surge
How much would you pay?
The skincare guru Hollywood stars trust for red-carpet skin
High-tech machines and $900 treatments: How Keren Bartov built a skincare empire and global celebrity following.
Steam Machine Buyers Will Face a Queue System For Its 4 Models, as Valve Moves to Prevent Scalper Markups Early
Valve leaked code reveals a reservation queue and four models for the Steam Machine to stop scalpers and prevent another launch fiasco
Crimson Desert Adds Surprise Claw Machine Mini-Game and Lets Pet Dogs Attack Enemies as Part of Update 1.06.00
Crimson Desert developer Pearl Abyss has released this week’s update as promised, and it adds what it said it would add. But it also adds a whole lot more, including a surprise claw machine mini-game that gives unique rewards.
Cricut’s $99 craft cutting machine helped me feel creative again
You’ll make things quickly, eventually.
Machining A Two-Stroke Engine Out Of Aluminium
Recently [Camden Bowen] took a swing at machining a two-stroke engine out of billet aluminium, following adventures in 3D printing such an engine, as well as building one out of parts largely sourc…
AI may be making science faster but less original
While AI boosts speed and productivity, it may also reduce intellectual diversity and shift science toward machine-friendly questions.
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The May update for Global Health & WASH brings new calls that cluster around three distinct shifts: LMIC research leadership moving from funder encouragement into a hard eligibility constraint, pharmaceutical and corporate-linked funders running structurally independent education and use-inspired research portfolios at substantial scale, and AI adoption shifting decisively from speculative tool to operational capability across health and WASH systems alike. In LMIC Research Leadership as Eligibility, Not Encouragement, Wellcome anchors the dominant signal of the month with three separate major calls that all require or strongly center LMIC leadership in their basic eligibility architecture. Wellcome’s ESIC Hubs (£1.5-£1.9M per hub over 3-5 years) explicitly requires an LMIC-based lead applicant, treating Global South leadership as a design constraint rather than a participation goal. Wellcome’s Infectious Disease Clinical Trial Development Award funds transdisciplinary teams whose lead must be a mid-career or established researcher based at an organization in Africa, South Asia, or Southeast Asia. Wellcome’s larger Infectious Disease Clinical Trial Award (£1M-£8M for optimizing licensed interventions) requires the administering organization to be in eligible LMIC regions and at least 50% of applicants based there. Around Wellcome, the same pattern shows up at smaller scale and across funders: CHINNOVA channels $1M into West and Central African research institutions for climate-health work; IBRO’s Neuroscience Training Grants explicitly tier ceilings by region of residence with Africa receiving the highest amount ($5,000); IHME’s GBD Emerging Researcher Award reserves at least one of its two annual awards for an LMIC researcher; Sidaction’s HIV Cure call funds research teams across France, the Netherlands, and eligible African countries with a minimum two-country collaboration requirement. Taken together, these calls signal a meaningful shift in how research equity is being operationalized — not as encouragement language at the bottom of a call, but as a structural feature of who can lead, where the work must be administered, and what proportion of the team must be regionally rooted. In Pharma-Funded Independent Medical Education and Use-Inspired Research, the lineup this month is unusually deep. Pfizer alone runs four parallel calls under independent education and quality improvement frameworks: a Migraine and Women’s Health RFP (200K x 2-year, $500K pool), Migraine IME ($200K, $1M pool), JAK Inhibitor evidence-based education ($100K), and Maternal Vaccination HCP Education in Saudi Arabia ($75K), plus a separate Pediatric Pneumococcal Surveillance research call in Saudi Arabia ($400K per project). Novo Nordisk Foundation runs four parallel calls of its own at substantial scale: Infectious Diseases Catalyst Grants (DKK 60M pool, up to DKK 7M collaborative), Non-Diabetic Endocrinology Collaborative Grants (DKK 53M pool, DKK 5-10M per project), Pioneer Innovator Grant Health (DKK 1.1M), and Distinguished Innovator Grant Health (DKK 6.8M). LEO Foundation deploys DKK 2-4M per project for dermatology research excellence. Pfizer’s framing across calls deliberately separates the funding from product promotion, emphasizing measurable practice-relevant change and structural distance between scientific outputs and commercial activity. Novo Nordisk’s “use-inspired” hard filter pushes researchers toward a credible translation pathway from mechanism to deployable tool. The pattern: industry-aligned funders are running structurally independent portfolios at meaningful $ that fund implementation evidence, not promotion. In AI as Operational Capability, Not Speculation, several calls this month explicitly treat AI adoption as a near-term operational question with real evidence and governance requirements, rather than a speculative trend to be watched. Wellcome’s ESIC Hubs frames AI as “the accelerator” for evidence synthesis, asking hubs to translate technical innovation into adoption-ready workflows that can match real-world policy timelines. UNICEF Venture Fund’s new Climate Tech for Children’s Health call funds for-profit startups deploying AI, machine learning, and blockchain in low-resource environments, with a strict requirement that solutions must already have a working prototype with promising pilot results. The Water Research Foundation has launched two simultaneous AI calls treating reproducibility, cybersecurity guardrails, and human-in-the-loop deployments as core design constraints rather than nice-to-haves: one on GenAI and Agentic AI in water utilities ($200K), one on alternatives to water shutoffs that explicitly screens for implementation economics evidence. Nordic Innovation’s quantum technology call (NOK 4.5M) extends the same logic into life science and healthcare, demanding consortium-stage projects mature enough to test with real users. TEF-Health offers €300K in subsidized testing infrastructure for European healthcare AI and robotics SMEs. The pattern: funders are converting AI pilots into playbooks, requiring transfer evidence and risk controls before AI can move from experimentation to sector-wide operational practice. For LMIC-based researchers in infectious disease or evidence synthesis, the three Wellcome calls together represent the deepest concentration of LMIC-led research capital in recent memory — pair the Infectious Disease Clinical Trial Development Award (£200K, deadline May 19) as a strategic pipeline feeder into the larger Infectious Disease Clinical Trial Award (£1-£8M, deadline June 2), since the development award functions explicitly as a track into the larger trial scheme. For Nordic researchers, the four Novo Nordisk Foundation calls plus LEO Foundation and Nordic Innovation Quantum represent ~$30M in regional research capital this cycle, all with deadlines clustered in May-August. For WASH practitioners, the three Water Research Foundation calls together (each up to $200K) are a cluster worth reading across — one on AI deployment, one on shutoff alternatives, one rewarding applied innovation — and the strongest applicants will articulate how their work bridges utility operations to policy-relevant evidence. For US-based clinical researchers and educators, the four Pfizer calls plus the APF Portfolio’s 80+ programs form an unusually accessible recurring pipeline; APF’s prohibition on indirect costs is a meaningful structural feature for early-career applicants whose institutions might otherwise absorb significant overhead. Snapshot of New Opportunities Total Estimated Funding Pool: $100 Million+ USD The grants are organized into three categories: Open Calls: Current grant and opportunities with a deadline. Grants are listed by closing date. 39 open opportunities- 14 new! Rolling Applications: current grant and opportunities with rolling applications (but it’s still best to submit as early as possible). 14 rolling opportunities- 1 new opportunity! Long term planning: Grants that have closed their current rounds, but are expected to open new windows. 4 long term opportunities! A quick tip for returning readers: if you want to jump straight to the newest additions, use CTRL F to search for “New!” and navigate quickly to the latest funding opportunities This post is for paid subscribers. This helps support the time and effort it takes to curate and organize these opportunities. Subscribe To keep this accessible to everyone who needs it, we’re happy to offer pay what you can rates. You can find more details here. Open Calls: Migraine Competitive Grant Program: Migraine and Women’s Health (Quality Improvement and/or Research RFP), Pfizer.*Closing soon!* Pfizer, in collaboration with the American Headache Society, is seeking independent quality improvement and research projects that close persistent gaps in migraine care for women across the United States. The funding logic centers on measurable, practice-relevant change: proposals should generate actionable evidence, tools, or system improvements that can be shared and used widely, not just within a single site. Priority areas span menstrual migraine and screening in women’s health settings, the role of hormonal fluctuations across the lifespan, sex-specific risk factors, comorbidities and quality-of-life burden, and disparities in outcomes by race, ethnicity, and socioeconomic status. The call is structured as a two-step competitive process with an initial Letter of Intent, with the strongest concepts expected to translate scientific insight into implementable improvements in diagnosis, management, and equity. Geographies: United States. Who can apply: U.S.-based organizations (not individuals), including professional schools, healthcare institutions, professional organizations, and other entities focused on healthcare improvement. Funding amount: Up to USD $200,000 total over 2 years; total pool USD $500,000. Targeted Sectors / SDGs: Health; Focus areas: migraine, women’s health, quality improvement, clinical research, menstrual migraine, health disparities. Deadline: LOI: May 5, 2026; Full proposal (by invitation): August 28, 2026. Learn more and apply here. This RFP rewards “shareable impact”: the most competitive submissions will pair rigorous methods with a clear plan for system uptake and dissemination beyond the originating institution. ReSSARC: Strengthening the Health Sector and Food Security in the Central African Republic (AID 013381/01/0) Call for Proposals, Italian Agency for Development Cooperation (AICS). *Closing soon!* AICS is seeking a limited set of high-capacity humanitarian partners to deliver an integrated package that stabilizes essential health services while reducing acute malnutrition and strengthening food security resilience in priority areas of the Central African Republic. The funder’s logic is explicitly nexus-based: proposals should meet urgent, life-saving needs while reinforcing local systems, coordination mechanisms, and community-level capacity so results persist beyond the emergency window. AICS emphasizes inclusion and protection outcomes, expecting gender-sensitive design and explicit measures for groups facing compounded vulnerability, including women, children under five, internally displaced people, and people with disabilities. The call also signals a localization pathway, encouraging stronger collaboration with national NGOs and balanced partnerships, alongside clear coordination with existing cluster and humanitarian actors to minimize duplication and improve coverage. Geographies: Central African Republic (Bangui, Ombella-Mpoko, Ouham, Ouham-Pende, Lim-Pende, Lobaye). Who can apply: Non-profit organizations registered with AICS, plus eligible non-profits without an office in Italy that have a pre-existing collaboration agreement with an AICS-listed organization. Funding amount: Total pool EUR €1,800,000; max EUR €800,000 (single applicant) or EUR €1,000,000 (ATS). Targeted Sectors / SDGs: Health; Focus areas: malnutrition prevention and treatment, maternal and child health, community health services, food security and resilience, localization partnerships Deadline: May 5, 2026. Learn more and apply here. This call is structured to reward partners who can link frontline service delivery to system durability and localization, not just short-term coverage gains. Contracts for Innovation in drug and alcohol addiction healthcare, Innovate UK. *Closing soon!* Innovate UK, on behalf of the Office for Life Sciences Addiction Healthcare Goals program, is procuring R&D to accelerate innovations that can improve treatment outcomes, strengthen recovery, and reduce harm and deaths linked to drug and alcohol addiction. The competition is positioned as a market-facing readiness push: selected projects are expected to advance solutions toward later-stage validation, generate evidence of user acceptability and UK market fit, and map credible routes through regulatory and certification requirements. Innovate UK signals a preference for innovations that can be field-tested in relevant UK settings and progressed to TRL 6 or 7, with practical plans for commercialization after contract completion. This structure favors applicants that can execute most work in-house, co-develop with service providers and people with lived experience, and translate technical progress into deployable tools for addiction healthcare delivery. Geographies: United Kingdom. Who can apply: Single organizations of any size (including EU, EEA, or international) leading delivery, with most work and key deliverables carried out in the UK; subcontractors for specialist skills only. Funding amount: GBP £200,000–1.5 million per project (inclusive of VAT); Total pool: GBP £20 million (across two strands). Targeted Sectors / SDGs: Health; Focus areas: Mental Health, Health Systems Strengthening, Research & Development, Technology Access. Deadline: May 6, 2026 (11:00am). Learn more and apply here. This call uses procurement to pull near-market addiction innovations toward operational proof and adoption pathways in UK services.
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‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field
‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field ‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field A field that once seemed like a direct path to stable, lucrative work is becoming less certain under AI, students and faculty told Spectator. By Ria Vasishtha and Arjun Menon May 3, 2026 Shanying Liu / Deputy Illustrations Editor Asia Genawi, SEAS ’29, first encountered artificial intelligence during her sophomore year at her high school in Indiana. Back in 2023, policies on AI varied widely—even within the same district—and some schools had no guidance at all. As Genawi began to see the effects of AI trickle into her classroom, she turned to guidance from her home state’s Department of Education, which she said she found “outdated and inaccessible.” Genawi spent the rest of her high school career dedicated to the issue, including writing a 15-page memo exploring varying AI policies across Indiana schools, which she sent to every Indiana state senator and representative whose contact information she was able to find. She later helped draft a bill that would have required public high schools to establish and share their own AI policies with students in an accessible format. But with so many other bills already awaiting referral, hers never made it to committee. When Genawi arrived at Columbia to study computer science, she found that the gaps she had spent years trying to address in Indiana had followed her there. Many students and professors were also grappling with what AI meant for the field. Across Columbia’s undergraduate schools, computer science has become the most popular major—accounting for around 11 percent of degrees awarded in Columbia College, 32 percent in the School of Engineering and Applied Science, and 12 percent in the School of General Studies in 2024. While the number of computer science majors in SEAS grew from 166 to 173 during the 2024-25 academic year, the total number across the three schools fell around 4.5 percent from 393 to 375, driven by declines at Columbia College and General Studies. At Barnard, it has grown to become the second most popular major as of 2025, up from third the year prior. The number of degrees awarded have grown fivefold since 2016. Faculty members and students in the department told Spectator that the surge in the major’s popularity has been driven in large part by its apparent promise of a secure, well-paid career path. However, they noted that the recent rise of generative AI has compromised the sense of stability that once defined the field, even as interest in technical skills among students persists. According to data from the Federal Reserve Bank of New York in 2024, out of 74 majors tracked, computer science had the fifth highest unemployment rate among majors at 7 percent, while computer engineering had the second highest at 7.8 percent. “Anecdotally, people are moving away from CS as a major,” Daniel Bauer, a senior lecturer in the computer science department, said. “They’re still taking some of our classes, right, because they think they need that, but they’re instead majoring in other things.” Bauer described a field that had shifted from what he called a “nerdy outlier discipline” to one that “everyone needs,” a sign that technical skills have become a baseline expectation across industries with the emergence of AI. “A lot of people thought, ‘Oh, it’s a guaranteed path to a stable income. You get a six-figure job right out of your undergrad,’” Bauer said. Now, companies may see AI as a way to reduce demand for entry-level programmers, especially in what he calls “code monkey jobs,” roles where a large number of employees are “just writing out code nine-to-five.” Chris Murphy, a senior lecturer in the computer science department, described the current moment as the convergence of two forces: the downturn of the job market and generative AI coming onto the scene. “Things kind of started to really pick up in 2014, 16,” he said, recalling the years after the weaker 2010 market. Murphy added that this was also a period where “students were getting more experience outside of class than they were inside of class” through internships, jobs, and side projects. Murphy suggested that the earlier momentum helped make computer science feel like both an academic program and a reliable pathway into work. That feeling is harder to sustain now as the industry reconfigures, which is a shift that students are seeing firsthand. Rebecca Yu, SEAS ’27, said that during a recent internship in Big Tech, she saw that “every single tech company was racing to integrate” large language models. She added that her manager said her intern class was the first to complete their assigned projects, which she attributed to the increased efficiency that comes with AI. Frank Liu, SEAS ’29, said that with AI lowering the barrier to coding, companies now expect everyone to write code. “A lot of companies outright say if you’re not using coding in your job, you might get fired for not being productive enough,” Liu said. Yu similarly expressed that students increasingly have to accept AI being a part of industry workflow, adding that many also “make use of it to maximize their productivity.” Richard Li, CC ’28, described a “franticness” among his peers as the pace of change accelerates. He explained how “some new tool” is released regularly, noting that tools rise and fall in prominence within weeks. He has come to believe that he doesn’t need to “match that speed all the time” and keep up with every development. Li has learned that AI tools allow him to “take a breath” and “get back into the loop much easier than before” when he needs to. While some companies specifically target Columbia when hiring, sending representatives to campus career fairs and recruiting large numbers from Columbia, a computer science degree cannot be treated as a static credential, Yu described. “You can’t just get your degree and stop learning after that. You have to always be learning,” Yu said. “That is something you basically have to expect for your job.” AI has not only affected students’ decisions to major in computer science, but also reshaped how the subject is taught. Across departments, faculty members no longer treat work done outside the classroom as a reliable measure of understanding, shifting instead toward in-person exams, quizzes, and attendance checks. While homework once made up as much as 60 to 70 percent of a student’s grade in computer science classes, Murphy said that breakdown has since flipped, with exams and quizzes now accounting for the majority. “The assumption—especially among pessimists—is that they’re using it to do their homework,” Murphy said. “They take the homework assignment. They put it into generative AI. Out comes the solution. Submit solution. The end.” Murphy said that faculty members ranged in their responses from fully prohibiting AI use to actively teaching students how to effectively work with AI. He said he shifted his approach this year after his teaching assistants called his belief that students weren’t using the technology “naïve,” and now permits students to use AI on assignments. His surveys of students in his introductory classes have told a more complicated story than the one so-called pessimists offer: Around 60 to 70 percent of students who reported using AI said they used it to have concepts explained to them, to clarify assignment instructions, to generate test cases, or to create practice questions. “Those are all ways that you might have had a tutor in the past to do that, and now you have this AI essentially as your tutor,” he said. Bauer has taken a different approach, teaching students how to use AI productively without sacrificing the core principles of the discipline. “People who are trained to actually use AI tools productively, while being in charge of designing the overall project, will be very much in demand in the next couple of years,” he said. Over the past year, a working group of computer science faculty has been redesigning the introductory and intermediate programming sequence to integrate generative AI as both a subject and a tool, representatives from SEAS wrote in a statement to Spectator. The effort is “coordinated” across the department, “not course-by-course,” with a systematic assessment of how AI integration is affecting student outcomes underway to shape the next round of changes. The goal, the department explained, is for students to be able to “read, verify, and reason about code, whether they or a model wrote it.” Tony Dear, senior lecturer in the computer science department, is piloting individualized AI feedback in a discrete mathematics course, while a machine learning course is also testing a Socratic AI dialogue system designed to “guide inquiry rather than supply answers,” the statement reads. Beyond individual courses, SEAS funded seven cross-departmental faculty projects in generative AI this past academic year, spanning biomedical engineering, chemical engineering, industrial engineering, and computer science, according to the statement. This phenomenon extends beyond the computer science department. SEAS’ new AI minor, which it announced in November 2025, reflects the University’s attempt to adapt. The minor is specifically designed for noncomputer science majors and aims to provide “essential AI knowledge” while emphasizing practical and responsible use across disciplines, according to the SEAS website. At the center of the minor is AI in Context, a course taught by a team of faculty from the departments of computer science, applied mathematics, philosophy, music, literature, and the Writing Center, the representatives told Spectator. Bauer described it as targeted at students who want to bring AI into fields like economics or biology, rather than as a path into software engineering itself. At the graduate level, SEAS announced a new Master of Science in artificial intelligence in February, with the inaugural cohort starting in the fall. While recognizing how AI has helped them navigate coursework, students also described its rise as isolating, even among members of the Application Development Initiative, one of Columbia’s largest computer science clubs. “As people start to ask AI for questions that they would normally ask students and members, it starts to isolate people” Li said. Alexa Kafka, BC ’27, echoed Li’s sentiment, pointing out that computer science has always been a collaborative discipline with code reviews and pull requests, even as AI makes independent work easier. Despite this, Kafka noted that she hasn’t been to office hours “in at least a year.” Bauer added that faculty are exploring long-term solutions to the assessment problem. “One of the things that we’re trying to do at the department or school level is to maybe move towards computerized testing facilities,” Bauer said, referring to ideas in the department to revitalize computer labs as an alternative to pen-and-paper exams. “We have to accept that this is the reality, for better or worse.” But more exams, students say, does not mean better learning, nor does it reflect how computer science is actually done. “Code is so variable and can be approached in so many directions, there’s never just going to be one correct answer. There can be multiple optimal solutions,” Kafka said. Students also expressed concern that the shift toward exam-heavy grading pulls focus away from the applied, project-based work that better reflects both discipline and industry expectations. ADI has tried to respond more quickly than the curriculum can. Through a vibe coding workshop this past semester, club members said they wanted to help students understand not just that AI exists, but how to use it deliberately. “Vibe coding” refers to the practice of prompting AI to write code for a task or project, and has become widespread enough that ADI felt the gap in formal instruction was worth addressing, according to Sophia Huang, BC ’29. The workshop introduced students to the concept of context engineering, which Shaina Sahu, SEAS ’27, described as not just writing a prompt, but optimizing “the rest of the relevant information that you would feed into the model.” Without that, students said that AI-generated code can fail at scale or introduce difficult-to-detect bugs. Genawi said the shift toward AI has changed what it means to be good at computer science. “I think the shift has kind of gone towards what can you create and what can you do, instead of, what do you know,” she said. Indeed, during ADI DevFest, its annual hackathon, Li said more teams are trying to complete their projects than in years past. While sign-ups have historically outpaced submissions, Li said this is beginning to change because teams “have a tool that completes the vision for them.” While many students see AI as an equalizer that lowers the barrier to entry for coding and technical work, Murphy said it also creates new equity concerns inside the classroom around who can afford stronger tools and who already knows how to use them. “The equity issues I worry about are students who have access to paid versions of things versus free versions of things,” he said. Although popular AI models like ChatGPT and Claude have free versions available, both have paid models that can reach over $100 per month, which output different qualities of code. Murphy also pointed to differences in prior exposure to AI literacy itself. “Students who go to high schools or K-12 education, where they’re taught AI literacy, prompt engineering, context engineering, they understand how to do this, as opposed to students who go to schools who don’t teach that,” he said. “Then they come in, and then they’re somehow expected to know how to use these tools.” For Genawi, those disparities begin long before students arrive on campus. “It’s very interesting to consider how lucky you were geographically,” she said. “To be born where you were is influencing your ability to get access to these spaces.” Students like Yu, though broadly apprehensive about the future of computer science, are not without hope. “I’m optimistic, because I think if you’re truly passionate about CS, there will definitely be a place in the field to do something you want to do,” she said. Senior Staff Writer Ria Vasishtha can be contacted at ria.vasishtha@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Staff Writer Arjun Menon can be contacted at arjun.menon@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Want to keep up with breaking news? Subscribe to our email newsletter and like Spectator on Facebook. Produced with Spectate by Emily Ta
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Scientists stunned as bacteria rewire DNA machinery to shape cells
Cyanobacteria—ancient microbes that oxygenated Earth and made complex life possible—are still revealing surprises billions of years later. Scientists have now discovered that a molecular system once used to separate DNA has been repurposed into something entirely different: a structure that shapes the cell itself.
Playnix launches Steam Machine competitor with Radeon RX 9060 XT 16GB, now costs €1140
Playnix gaming PC pairs a 65W Ryzen 5 with a 150W Radeon RX 9060 XT Playnix is now on sale through the company’s official store as a console-style Linux
Two arrested after 29 illegal gambling machines seized at Tallahassee business
Two people are behind bars, and a gambling house is shut down after law enforcement seized over two dozen illegal gambling machines from a Tallahassee business.
Two arrested after 29 illegal gambling machines seized at Tallahassee business
Two people are behind bars, and a gambling house is shut down after law enforcement seized over two dozen illegal gambling machines from a Tallahassee business.
Two arrested after 29 illegal gambling machines seized at Tallahassee business
Two people are behind bars, and a gambling house is shut down after law enforcement seized over two dozen illegal gambling machines from a Tallahassee business.