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J&J launches Shockwave Medical’s next-generation coronary IVL catheter
The Shockwave C2 Aero Coronary IVL Catheter is based on years of user feedback. For example, it was built with improved deliverability and repositioning capabilities in mind.
Minnesota health department monitoring 1 who may have been exposed to hantavirus overseas
Jacksonville seeks feedback on creating business district along 103rd Street
The business district could make small assessments for improving "the Wonderland Corridor."
[Form 4] Melco Resorts & Entertainment LTD Insider Trading Activity
Stock Titan provides an ultra-fast stock market news feed and multiple tools for traders and investors.
US CEOs seek China business gains from Trump-Xi summit
More than a dozen CEOs and top executives will accompany Trump on his visit.
WFP Chief Cindy McCain warns that the food crisis is a business crisis: ‘Feed them now or fight them later’
Also: All the news and watercooler chat from Fortune.
Entertainment mogul Byron Allen to acquire Buzzfeed, HuffPost
Buzzfeed, once an internet sensation known for its listicles, news and quizzes, has fallen on hard times.
Entertainment mogul Byron Allen to acquire Buzzfeed, HuffPost
Buzzfeed, once an internet sensation known for its listicles, news and quizzes, has fallen on hard times.
Why BuzzFeed sold to Byron Allen
BuzzFeed was supposed to be the future of media. But that future wasn't supposed to be a last-ditch sale.
Nike Gives TODAY Inside Look at Its Sports Research Lab
TODAY's Craig Melvin gets a rare look at Nike's high tech sport research lab, where scientists and engineers are working to understand the demands of the sport, the athlete, and the environments they play in to innovate and improve every aspect of athletic performances. The 84,000 sq. ft. facility boasts tech-embedded basketball courts, turf fields, treadmills, and sweat rooms that give Nike designers real time feedback on every kind of athletic performance.
6 Android apps I keep on my phone specifically because they ignore AI
Android apps that do their jobs without AI getting in the way
Chicago Teachers Union wants $8.5 million dues hike to fund politics
“Has your brand become toxic?” This was a pointed question from WGN Political Editor Tahman Bradley, posed to Chicago Teachers Union President Stacy Davis Gates in a recent interview. Her immediate response: “I don’t understand the question.” When pressed, Gates added, “The Chicago Teachers Union is not a political party, it is a labor union.” But internal union documents show CTU leadership is trying to skim $8.5 million more from teacher paychecks explicitly for politics, while trying to silence union members critical of Gates’ leadership. Under the proposed dues hike, Chicago teachers would see up to $800 more per year flow from their paychecks to union coffers. The union already takes in more than $40 million a year, mostly from dues. And it spends less than 18 cents of every dollar on teacher representation. The No. 1 reason for the proposed dues hike? Politics. “We must win a majority of the first 21 person fully elected school board in November,” reads the first point in CTU’s member FAQ document.1 This directly contradicts CTU’s promise to members about how leadership uses dues money. The official CTU handbook tells members that the union does not use dues money for politics, so if they are interested in funding political activity, they should consider voluntary donations to CTU’s political action committee. “Our dues are not used for political purposes,” according to the handbook. “So our PAC relies on extra contributions from our members to support progressive candidates and to impact elected officials at the city, county and state levels.” This kind of double-speak is one reason members are concerned about another constitutional change slipped into the dues hike vote, which will take place on May 20-21: an attempt to stop members from holding the union accountable. A proposed amendment to the union constitution tries to place limits on when members may bring a lawsuit against the union for violating members’ rights.2 This provision is clearly a response to members’ lawsuit against union leadership regarding Gates’ years-long refusal to publish audited financial statements. The judge in that case has repeatedly denied the union’s attempts to dismiss it. Teachers opposed to these changes have been circulating this flier, urging members to vote no. What will CTU members get in return for millions of dollars in additional dues? If the 2024 school board elections are any indication—not much. CTU leadership’s record on school board races may not inspire confidence among members. A Chicago Policy Center analysis of a dozen affiliated PACs found CTU spent nearly $2.9 million on school board races in 2024. Of that spending, more than $2.1 million (75%) went to losing candidates. And while CTU-backed candidates lost six of the nine competitive seats overall, they fared worse in their biggest-spending races, losing five of six contests in which the union and its affiliates put up more than $250,000 for their candidate. The Chicago school board elections take place Nov. 3.3 Is another $8.5 million enough to clean up a toxic reputation? Not likely. Update on federal tax credit scholarship: Last week, Democratic New York Gov. Kathy Hochul said she plans to opt into the federal tax credit scholarship program. If Illinois Gov. JB Pritzker follows suit, Illinois could unlock $1 billion in donor money statewide for both public- and private-school students. If Illinois does not opt in, that money will flow to other states. The Last Ward reported in February on how Illinois Democrats could unlock at least $100 million in new resources for Chicago public-school students by opting in. Update on the investigation into how Chicagoans learned about a meeting to hike their property taxes: The Last Ward reported in January on an absurd, taxpayer-funded investigation into how local media learned of a planned Chicago school board meeting to hike the district’s property tax levy. That investigation is now complete. Lawyers interviewed two dozen witnesses, and found nothing. Update on Illinois’ muni debt crisis: My colleague Joe Tabor last week published a must-read piece in Crain’s Chicago Business about how Illinois recently rejected south suburban Harvey’s request to be designated a “distressed city.” The saga shows why the state must implement a better structure to assist insolvent local governments, including allowing for the option to pursue debt relief via Chapter 9 bankruptcy. The Last Ward reported in October on how Harvey is tipping the first domino in Illinois’ municipal debt crisis. Mincing Rascals: I joined the Mincing Rascals podcast to discuss the SAFE-T Act, the millionaires tax, and more. My “green light” recommendation: Force Majeure (2014). 1 Notably, the No. 2 reason cited is “resources to fund a state-wide millionaires tax campaign in order to fully fund the state’s school funding formula.” The constitutional amendment necessary to implement a progressive income tax in Illinois recently died in the Illinois House, meaning this question would not appear on the ballot until 2028 at the earliest. 2 There is seemingly no single-subject rule for CTU constitutional amendments. So members only get one vote on the full package. One cannot vote “yes” on the dues hike and “no” on the restriction of members’ rights, for example. 3 Illinois law grants far too much power over local government to unelected officials like Gates. State lawmakers should fix that.
LIVE FEED | Ligue 1 Multiplex
Ligue 1, Round 33, 10/05/24Welcome to GFFN’s live coverage of the 33rd and penultimate game week of the 2025-2026 Ligue 1 season! On Friday, RC Lens secured their place in the Champions League in se...
17 Good Things Ruined By Popularity
"Going to the movies isn't the same. I only go a couple of times a year now and will never buy snacks from the concession stand again."
Is Autodesk (ADSK) Using Small-Business Flex Pricing To Quietly Redefine Its Competitive Moat?
Earlier this month, Autodesk Inc. launched “Autodesk for Small Business,” introducing a Small Business Hub, product refinements across AutoCAD, Revit, Fusion, and Flow Studio, plus more flexible Autodesk Flex token and pricing options in the US and UK. The initiative materially lowers onboarding complexity and upfront commitment for small firms, potentially broadening Autodesk’s customer base while giving these users a clearer feedback channel into future product development. Next, we’ll...
[Form 4] Dave & Buster's Entertainment, Inc. Insider Trading Activity
Stock Titan provides an ultra-fast stock market news feed and multiple tools for traders and investors.
[8-K] Live Nation Entertainment, Inc. Reports Material Event
Stock Titan provides an ultra-fast stock market news feed and multiple tools for traders and investors.
Prime Video follows Netflix and Disney by adding a TikTok-like 'Clips' feed in its app
The Clips feed aims to enable discovery by offering users a scrollable feed with short snippets of shows and movies.
AATS helps heart surgeons diagnose and manage heparin-induced thrombocytopenia
Heparin-induced thrombocytopenia after heart surgery is a major concern, but prior guidelines were developed without much feedback from actual cardiac surgeons.
Diablo II: Resurrected Ladder Season 14 Coming Soon
Ladder Season 14 begins on May 22. Glean the differences coming with Patch 3.2 based off your feedback from our recent PTR.
Diablo II: Resurrected Ladder Season 14 Coming Soon
Ladder Season 14 begins on May 22. Glean the differences coming with Patch 3.2 based off your feedback from our recent PTR.
Ryan Bergara & Kevin Kreider To Lead ‘Trüebadour’; Avatar Entertainment Debuting Jennifer Zhang Pic At Cannes Market
EXCLUSIVE: Ryan Bergara (BuzzFeed Unsolved, Ghost Files) and Kevin Kreider (Bling Empire, The Traitors) will star in Jennifer Zhang’s Cannes-bound feature Trüebadour. Avatar Entertainment will introdu...
The science behind social media’s peptide obsession
As peptide “stacking” takes over social media feeds, we separate the science from the hype of the Internet’s latest wellness obsession
From Lab to Video Feed: A Biologist Distills Science in 60 Seconds
Julia Bauman creates engaging short-form TikTok videos that make science topics accessible to a broad audience.
OpenClaw and Claude can put your AI-generated podcasts in Spotify
Your own personal AI podcast feed.
Grit & Wisdom: Focus on your customers
For Paige DeAngelo, founder of Aer Cosmetics, listening to her customers has helped her build her small business brick by brick. As one of this year’s Grit & Wisdom award winners, she shares her advice with other small businesses on how they use feedback to act fast. To learn more from Paige and the rest of this year's Grit & Wisdom winners, visit ADP.com/GritAndWisdom
[8-K] Inspired Entertainment, Inc. Reports Material Event
Stock Titan provides an ultra-fast stock market news feed and multiple tools for traders and investors.
Fake rumors, real killings: Inside Congo's deadly health misinformation crisis
In Tshopo, a northeastern Congolese province blanketed in rainforest, rumours rippled through villages late last year claiming a mysterious illness had caused men's genitals to atrophy.
Less nostalgia, more pain: scientists study 1763 Eurovision songs
Feedback discovers that the prevailing themes of Eurovision songs may come and go, but the urge to win stays the same.
Science communication as feedback loop explored at annual ethics symposium
The annual Ethics and Compliance Symposium brought renowned vaccinologist Peter Hotez, senior fellow in disease and humanity at Rice University’s Baker Institute for Public Policy, to share his research and discuss the ethics of academic public engagement.
Methane-infused cow burps meet climate science
A synthetic compound added to cattle feed is shown to reduce methane emissions.
Microsoft is finally ditching the junk MSN feed in Windows widgets
It’s part of an effort to fix Windows 11
Feeding Texas celebrates Healthy Texan Week, highlights nutrition pilot
Feeding Texas and health-care partners kicked off Healthy Texan Week by highlighting a new pilot program providing medically tailored meals to Texans with chronic conditions.
New York Islanders make a heartbreaking announcement on Monday.
A piece of Islanders history is no more.
Global Health & WASH: May 2026 Funding Opportunities (14 new opportunities!)
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.
It’s bananas that harness racing isn’t about entertainment first
The Banana Baseball League has been an absolutely astounding commercial...
Bizfeed: New retailers, restaurants planned for Strip, more
Plus, former Las Vegas-based Nothing Bundt Cakes will be acquired by private equity firm KKR for over $2 billion.
‘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
The politics of Trump's ballroom
WEST PALM BEACH, Florida — President Trump was about a half-hour into his second speech of the day, musing about the danger he faced last week at the White House Correspondents’ Dinner. “Saturday night, it was good for one thing. People are loving my ballroom now,” Trump told a crowd last night. “That’s the only thing. They love my ballroom.” Ever since he was hustled off stage at the Washington Hilton last week, after an attempted shooter breached the dinner’s security perimeter and sent guests diving to the floor, the president has argued that the incident is proof for why his White House ballroom is needed. Only his planned $400 million, 90,000-square-foot project, Trump has reasoned, can keep a president truly safe at major events. It’s true that a bunch of GOP lawmakers have jumped on board with new legislation and words of support for Trump’s project. House Speaker Mike Johnson, Sen. Rand Paul and other prominent Republicans went on TV to talk about the need for a ballroom. But as we reported at The Washington Post this week, “people” aren’t really changing their minds on Trump’s ballroom. A new Post-ABC News-Ipsos poll found that most Americans still oppose the ballroom project: 56 percent against it versus 28 percent in favor. The numbers are the same as a poll from last year, the Post’s polling whiz Scott Clement found. Other new polls have found similar margins, too. “I’m just not a giant fan, especially of extravagance,” one independent voter told me. “I mean, in the era we’re in right now, given how much people are struggling, it just doesn’t make a lot of sense to me to spend $400 million on a ballroom.” How we got here The Washington Post has followed Trump’s ballroom project very closely. (My colleague Jonathan Edwards may have written the most total words of any reporter about the project; I may be second.) The project exploded as a national issue after Trump tore down the White House’s East Wing after initially promising not to touch it.1 Historic preservationists sued, and about a month ago, a federal judge ordered a halt to ballroom construction.2 The only way the ballroom could proceed, U.S. District Judge Richard Leon ruled, was if Congress explicitly authorized Trump’s plans. (An appeals court has stayed Leon’s order for now.) The judge’s ruling raised an obvious question: would Congress authorize the project? Keep in mind, “authorization” doesn’t mean that Congress needs to necessarily fund the planned $400 million project; they could just sign off on the private donations that Trump has solicited to pay for the ballroom.3 But GOP lawmakers really didn’t want to talk about the ballroom, we reported at The Post just a few weeks ago. One major reason was the ballroom’s bad polling — not a small detail with many of their own midterm elections looming. The White House Correspondents’ Dinner incident, and Trump’s advocacy, may have changed the political conversation around the ballroom. As this week’s polling shows, it doesn’t seem to have affected the fundamental questions surrounding the project. To put it another way, voters still say that cost-of-living concerns are top-of-mind heading into the midterms. Some Republican and independent voters have told me that they see the ballroom as a vanity project that will help Trump but do nothing for their own lives. It might not help Republicans that Trump has dismissed some of the cost-of-living concerns. He’s described “affordability” as a buzzword manufactured by Democrats whose policies helped cause inflation. “They’ve got one good line of bullshit,” Trump said in his first speech yesterday, delivered at a Florida retirement community known as The Villages. Thanks for reading Dan Diamond's newsletter! Subscribe for free to stay up-to-date on my work. Subscribe Speaking of Trump’s speeches… I’m down in Florida because it’s my “duty week” as a White House reporter — basically, I follow the president wherever he goes. (And then hand the baton off to one of my Washington Post colleagues next week.) As part of my duty week, I’ve spent a few days covering the White House’s reaction to Saturday’s attempted shooting, including officials’ review of the security protocols to protect the president. Trump was restrained in the wake of the incident, addressing the nation from the White House briefing room about the need for peaceful dialogue and trying to lower the temperature. But he’s clearly been itching to get back out of the White House, and I was curious to hear how his Florida speeches would go. And — to my ears — it was an unburdened Trump. Not the one we saw Saturday night in the White House briefing room, but the one we witnessed on the campaign trail in 2024. Loose, dropping profanities, mocking everyone, including members of his team. “We have a man here who knows more about Medicaid, Medicare, medical crap than any human being. Where’s Dr. Oz? Where the hell are you, stand up,” Trump said, referring to Mehmet Oz, the administrator of the Centers for Medicare and Medicaid Services. “It’s the most boring trip I’ve ever made. He’s telling me about Medicare, Medicaid. All I want to do is take care of you, I don’t care. I said, ‘You work out the details.’” I wrote up the speech, as Trump headed to West Palm Beach to deliver more remarks a few hours later. The White House didn’t like my story. Their rapid-response team called it the work of a “total loser”4 and “a miserable TDS-ridden moron.” You can be the judge of whether it’s a fair story or the product of someone afflicted with “TDS.” (The White House’s shorthand for “Trump Derangement Syndrome.”) I’ve pasted the story below with a gift link, meaning that you don’t need to be a Washington Post subscriber to read it. It might prompt you for an email address, though. Meanwhile, I’ll be down in Florida for the rest of the weekend, covering the president. It’s TBD whether those stories will be deemed TDS-afflicted, too. 1 Jonathan details the past six months of ballroom fallout, reactions and the implications for executive authority here. I also had a great time talking about Trump’s ballroom and other projects with Australia’s ABC News Daily on a podcast this week. 2 The judge allowed underground construction and national security-related work to continue. But that hasn’t been enough for Trump, who says the ballroom itself is essential for his protection. 3 The ballroom donors include companies like Palantir, Google and Amazon. For transparency, Amazon founder Jeff Bezos owns The Washington Post, where I work. No one has ever interfered with our team’s coverage of the ballroom or our mentions of Amazon or Bezos, and if that changed, I’d speak out. 4 To be fair, I’ve spent the morning working on stories and writing this Substack post rather than enjoying the beautiful Florida weather. So they may be onto something about who’s winning and who’s losing.
Punk Politics/Camp Costume is a fashion exhibition curated by (some of my) brilliant Parsons students!
I have the most amazing students. I teach Fashion Journalism at Parsons, as part of its MA Fashion Studies degree, though I have students of all different disciplines throughout the New School in my class — from fine-art photographers to investigative journalists to textile designers. And I learn about all sorts of fascinating things from them, like that designers are adding faux sweat stains to their garments now (part of a trend piece about “anatomy core”) and that real “French girl style” is actually about being “cunti cunta” (aka loud, rude, too much, liberated). So when I found out that some of my students were curating a fashion exhibition opening tonight(!!!), I just knew that it would be brilliant too. Wearable Art is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe It’s called Punk Politics/Camp Costuming1, and it’s up through May 10 at La Sudestada, the wonderful gallery and concept store in Greenpoint, Brooklyn. I asked the exhibit’s lead curator, Ella Birney (a talented costume and knitwear designer from Belfast who also happens to be in my class), all about it. This conversation has been edited for length and clarity. Tell me about the idea of this exhibition and how it came about. Ella Birney: For our Fashion Curation class, we had to pitch [exhibition] proposals to our professor, Jessica [Glasscock], and I really wanted to continue on the themes that I was exploring in my BA when I was studying in London a couple of years ago. My BA was very punk-inspired and very political. Everything I do, as you know from my writing, always has a slight Irish, political twist to it2. So in my BA project, it was looking at knitwear as a conveyor for exploring political identity in somewhere like Ireland, where identity is such a point of contention. And looking at the images that I generated from that project, there was something so camp about the whole thing. Like, it’s so playful and in bad taste to do a political message — like a knitted Union Jack — out of mohair. There’s something very camp about that. So that’s where it kind of became punk politics/camp costuming — looking at how from the 1970s to now there’s been protest through costume and clothing. What was your BA in? It was fashion textiles, knitwear. Very craft heavy, which — craft is never taken seriously either. That’s also a kind of spin [on the punk/camp thing]. The Union Jack knit that you made is included in the show — what is camp about knitting a Union Jack out of mohair? The whole ethos of camp is kind of bad taste, doing things that are tongue in cheek and a bit wink, wink, nudge, nudge. Like, this is a bit silly. Everything I do is like, this is a bit silly. Like, being from the North of Ireland, everything you do is political. So it’s like, everything is going to be looked at in a certain lens anyway, so we may as well lean into it. So the Union Jack was because I come from a mixed marriage — Protestant-Catholic. And in the North of Ireland, that’s still a big deal. And even though I’m a Catholic and brought up in a very like Catholic Nationalist family, there [were] Union Jacks [the symbol of the United Kingdom] on my street. So I was like, then I’m gonna make your Union Jack out of knitwear. And then that kind of all linked back to the punk movement that Vivian Westwood forefronted in the late 70s, [with her stores] Let It Rock and Seditionaries. How did you source your items? Once we decided on this exhibition idea, everyone in the class was put to [think about] what do you think can fit into punk politics/camp costuming and finding designers that fit that brief. Me and my co-curators, Dulcinea Flores and Allison Gramando, made a brief to send out — with a mood board and color stories, stuff like that — and then everyone kind of got to work emailing people. We reached out to other Parsons grads. Even through Instagram stories we’ve been able to reach so many people who were like, Yeah, of course, I’ll write something for this, or Please — let me submit stuff. It actually was quite easy sourcing things. … The Parsons thing gets you quite far. What were some great pieces you got? There’s a Brooklyn-based, nonbinary artist called Buzz Slutsky. I can’t even remember how I found them, but I came across this crazy, shoe thing — they had made all these different shoes out of papier-mâché, and the story behind them is so fantastic, so interesting. They were just so obliging, like, Of course, you can have these for a few weeks. I was really happy about that. And then we have art from a collective here called Art Comes First. And they lent loads of really amazing pieces that just tied everything together. You have your Union Jack knit in the show too. Any other pieces that you made? There’s three of my BA mohair knits. There’s the Union Jack. There’s a mohair with the word “No” — which is based on an old political campaign in Ireland that was “Ulster says no to sodomy.” And then there’s another one that is red, white and blue, like the Union Jack, but has the word “Catholic” on it and lots of holy medals. I’m so happy I got to include those. How many pieces are in the show? Between 49 and 52, something like that. A load of clothing and accessories, shoes. There’s a Brooklyn-based Irish photographer who’s given us photos. There’s also a shopping cart that is an art piece by Art Comes First that has gold knuckle dusters as the handles. There’s also lots of T-shirts, original pins from the 70s and 80s that were from people’s dads. I also brought my record player, and all of [co-curator] Allison’s dad’s original albums so everyone could play records. Oh my gosh! Yeah, it’s cool. Anything else you would like to add? If we get to do an exhibition, why would we not make it political in this day and age? I hope that people come. There’s a lot of history, because it starts back in the 70s. It’s not like chronological or anything, but there are historical objects. I hope people come out of it thinking, out of all the really horrendous decades of the 70s and 80s and 90s, all these amazing subcultures happened. There are horrible political times, but there’s art that comes out of it that lasts. Punk Politics/Camp Costume is on view May 1-10 at La Sudestada, 67 West St. Suite 513, Greenpoint, Brooklyn. RSVP for the opening Friday May 1 6pm-8pm here. There’s also a button-making and patch-making workshop and artist talk May 9. Follow the show’s Instagram page @punkxcamp.parsons. Special shout out to all the students who put on this show: Ella Birney (lead curator), Dulcinea Flores (curator), Allison Gramando (curator), Pierre Sanon (lead exhibition designer), Eliana Daneshvari (exhibition designer), Reilly Lowell (editor), Jess Gayo (researcher/writer), Joyce Gayo (researcher/writer), Maria Magdalena Ugarte Montero (researcher/writer), Cassidy Colarik (exhibition press officer), Shelby Shovein (educator), Sarah Mahnke-Baum (educator), Trinidy Coleman (graphic designer), and Leonie Soravia (project manager). Jessica Glasscock was the faculty advisor. 1 The website is definitely worth checking out. 2 This is true!
Dualsense on PC: This $16 Raspberry Pi Adds Wireless Adaptive Triggers and Haptic Feedback To The PS5 Controller
The full-fat experience.
US criticises Zambia for lack of engagement as $1 billion health deal stalls
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How to Build a Superteam That Keeps Getting Better
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As artificial intelligence show off diagnostic chops, scientists reckon with the way forward
On Thursday, researchers published in Science the results of a study that tested an OpenAI model on diagnostic and clinical reasoning tasks.
“They Pushed Him Back Inside Me”: “Fresh Prince Of Bel-Air” Star Tatyana Ali Has Shared Her Horrifying Birth Story While Speaking Out Against Racial Bias In Maternal Health
“It's an incredibly dangerous thing that they did; they could have snapped his neck; this is after hours of them holding me down.”
Sony clarifies recent PlayStation DRM update
PlayStation fans and gaming preservations have been alarmed since late last week that a new 30-day timer attached attached to newly-purchased digital games for PlayStation 4 and 5 might render those games unplayable if the system they’re on is offline for longer than a month. But a rep from Sony told Game File today that new system will require only a single online check before it functions as a perpetual license for the digitally purchased game. That is consistent with a newer theory that emerged by gamers testing the 30-day timer over the last two days. “Players can continue to access and play their purchased games as usual,” a rep for PlayStation told me over email. “A one-time online check is required after purchase to confirm the game’s license, after which no further check-ins are needed.” The rep’s explanation squares with the current understanding among players about what’s happening. A multi-day mystery A post last Friday by YouTuber Lance MacDonald spread awareness over the 30-day timer. Quickly, players began stress-testing the system, removing a battery within their PlayStations and checking what would happen if their systems were offline past the timer window. They noticed that setting a PS4 or PS5 to be the “primary” console—a common Sony-authorized method to retain rights to a digital game—wasn’t overriding the 30-day limit. On Tuesday came the breakthrough: A gamer called Andshrew on the Resetera forums posted the results of some tasting. They found that digital games purchased on PS4/PS5 after some time in mid-April would get a 30-day timer that could then be removed and replaced with a perpetual license that would allow the game to be played offline. The transition to the perpetual license occurred some number of days after the digital game was purchased and the system was connected to the internet. They believed that a PlayStation’s online check-in would trigger the license change no sooner than 15 days after the user had purchased the game. This synced with the theory that Sony’s new system is related to the 14-day window that PlayStation users have to request a refund for digitally purchased games. The new timer/check-in system could be a way to defeat some exploit in that refund system, some users theorized. Game File is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe In a follow-up, I asked the Sony rep if the 15-day timeline is accurate or if the perpetual license can be activated sooner after purchase. If they share more, I’ll update this post. Sony has not said why they’ve introduced the timer and whether it is designed to stop people from exploiting the refund system. But their explanation suggests that this new DRM method should not result in long-term loss of access to digitally purchased games, just because a PlayStation is offline for a month or Sony’s servers are down. Xbox flashback For many some gamers, the initial reporting of the 30-day timer conjured memories of Microsoft’s disastrous May 2013 announcement of the Xbox One, which was going to require an internet-connected check-in once a day, lest your games become unplayable.1 After widespread backlash, Microsoft abandoned that plan, ahead of the Xbox One’s launch. 1 Fun fact: That 24-hour check-in detail was my scoop from an interview I had that day with then-Xbox exec Phil Harrison. I was EiC of Kotaku at the time and rushing from one Xbox One preview appointment on Microsoft’s campus to another. I phoned the news in to reporter Jason Schreier, who wrote it up for the site.
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German cabinet approves health insurance reform to curb costs
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Health Canada approves first generic version of Novo Nordisk's Ozempic
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Thermo Fisher to sell its microbiology business to Astorg for about $1.08 billion
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Global consumer companies face pricing stress test from oil shock
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Hellish conditions, damaging delays and uncertain justice fuel mental health crisis in SC jails
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Cut in half: Nike ACG Ultrafly Trail Review (2026)
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MN lawmaker takes action to get answers on Omar's alleged fraud ties after she skips key hearing: 'Ghosted us'
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AI-driven sports technology from Carnegie Mellon students draws interest from Mark Cuban
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Health insurer Elevance raises annual profit forecast on medical cost controls
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Business Insider wins 2026 Webby for mid-form documentary
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30 More Jaw-Droppingly Dumb Pictures Taken At JUST The Right Moment That Get Funnier And Funnier No Matter How Many Times I’ve Seen Them
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Birdfy’s new 4K feeder wants to teach you about the birds it identifies
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“Yeah… it’s not so good,” as Microsoft confirms major Rewards changes in May and what it means for anyone who relies on daily point earning
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Diablo 4: Lord of Hatred’s New Endgame Is All About More Freedom and Less Friction
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How today’s AI trainers could be tomorrow’s displaced workers
A fast-growing AI startup is betting it can transform—and potentially replace—large swaths of white-collar work by turning professionals into trainers for the very systems that could one day displace them, Bloomberg writes. Mercor, now valued at $10 billion, recruits doctors, lawyers, consultants and other experts to break down their jobs into step-by-step tasks, feeding that […]
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Grand Junction students gain real-world business experience through investor pitch event
Young Entrepreneurs Academy participants present months of work to local business leaders for feedback and funding
Grand Junction students gain real-world business experience through investor pitch event
Young Entrepreneurs Academy participants present months of work to local business leaders for feedback and funding
Trump’s 250-foot arch clears approval hurdle despite overwhelming negative public feedback
26 Cheap And Easy Home Upgrades And Projects To Do
"It was supposed to be a temporary solution until I saved some money — but I like it so much I still haven't changed it three years later."
A new Android 17 beta reveals plans for “Pixel Glow” light animations.
Google just released the fourth beta for Android 17 today, and now, 9to5Google and Android Authority point out that it contains mentions of a new lighting feature that we might see on the next round of Pixel phones. The Pixel Glow details say it “uses subtle light and color on the back of your device to inform you of important activity when it’s face down,” when interacting with Gemini, or when favorite contacts are calling. [Link: Pixel Glow 'visual feedback' tool might just hint at big Pixel 11 hardware changes | https://www.androidauthority.com/pixel-glow-3658443/ | Android Authority]
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Netflix launching redesigned iPhone app with vertical video feed
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Netflix embraces vertical video with major mobile app update
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Gemini can now create personalized AI images by digging around in Google Photos
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UNC Hussman offers new sports play-by-play class | UNC Hussman School of Journalism and Media
This story, written by UNC Hussman alumna Caroline Daly ’24, was originally published on unc.edu. The UNC Hussman School of Journalism and Media has a new, hands-on class available for students interested in sports careers. Students in “MEJO 390: Sports Commentary and Play-By-Play” can call live radio broadcasts for Carolina sporting events, streamed live on the Go Heels website. This spring, 11 students are calling mostly softball games to gain experience and learn the preparation needed for a successful broadcast. The class is capped at a small number to provide consistent, individual feedback. Matt Krause, the radio voice of Carolina women’s basketball, teaches the class to help students sharpen their skills, using his experience with the Tar Heels and calling games for ACC Network and ACC Network Extra. “There is no substitute for live reps, and that is the only way you get better. The classroom component teaches you how to get better, but going about that requires sitting in that chair, making mistakes and being able to know your broadcast is going somewhere,” Krause said. “These students are doing real live games, and they will have tape where if they want to pursue this. They will have ready-made demos to send for jobs. Being able to utilize all the resources of UNC, GoHeels Productions and the Carolina Athletics brand and create these opportunities for students is really impactful.” In the class, students learn fundamentals like how to announce starting lineups for different sports and how to conduct research before games. Krause has led the class in mock preparation exercises, looking at game charts with information about the different teams and players that they can refer to at pivotal moments during the game. Krause and the students then critique each other, listening to clips from the past week to find ways to improve. It’s a rare class without a slew of quizzes or assignments. Their main tasks are calling games and making a portfolio or demo reel of their best calls at the end of the semester, all with the goal of being ready to step into similar roles after graduation. Laible live streams her coverage on the GoHeels website. Calling a live game while broadcasting her coverage allows her to get hands on experience. (Jon Gardiner/UNC-Chapel Hill) Junior Anna Laible ’27 wished for a class just like this. Her first year at Carolina, she interned with the Coastal Plain League, where she was introduced to play-by-play for baseball. “I enjoy the challenge and uncertainty of each game being different because each sport looks a little different,” said Laible. “Each game is different — not just with teams but what could happen with certain records being broken or random trends. That’s what I enjoy most.” She wanted more opportunities for reps during college to prepare for a career after Carolina, so she pitched an idea for the class to Livis Freeman ’99, distinguished associate professor of sports communication. Laible and Freeman reached out to GoHeels Productions for a partnership and then connected with Krause. “This is how at UNC Hussman we separate ourselves: Our students go into the field ready,” said Freeman. “The biggest compliment we get it is when our students start their careers, they don’t need any hand-holding.” Laible calls a Carolina softball game at Kessing Stadium – after pitching the idea to Hussman faculty. Her interest in sports commentary allowed her to apply her interest as she attends Carolina. (Jon Gardiner/UNC-Chapel Hill) Laible is now a student in the class, which has helped her strengthen her skills and deepen her passion for the field. The goal is to expand to other sports like soccer, lacrosse and field hockey. “The hands-on experience I’ve gotten here is invaluable. I’ve loved the classes and professors because they’ve taught me a lot, but it’s also the things outside of class, too, that have helped me grow,” said Laible. “Since being at UNC, I’ve grown a lot in the versatility, from doing writing to production and commentating. UNC Hussman and Carolina have given me the ability to be strong and well rounded.”
[DEF 14A] Flutter Entertainment plc Definitive Proxy Statement
Stock Titan provides an ultra-fast stock market news feed and multiple tools for traders and investors.
YouTube now lets you hide Shorts
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“AI polls” are fake polls
A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
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