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CBL Scholars Program Opens Pathways to Business Law Careers - UC Law San Francisco (Formerly UC Hastings)
First-year law students and 2026 CBL Scholars Deniz Masjedi, Alvaro Flores, and Tavia Pappaly gain mentorship connections with leading industry professionals as they prepare for careers in business law. Created by the UC Center for Business Law San Francisco (CBL), the CBL Scholars Program aims to develop the next generation of business law leaders, supported by contributions from individuals and corporate sponsors. The highly competitive program provides funding along with academic and professional mentorship to students from disadvantaged backgrounds. Scholars gain exposure to the Bay Area’s technology and venture capital ecosystems and access to UC Law SF’s broad network of senior legal professionals. Now in its sixth year, the CBL Scholars Program provides a scholarship and academic and professional mentorship to students entering the business law community from disadvantaged educational, economic, social, or physical backgrounds. The program is generously sponsored by the law firms Gunderson Dettmer and Goodwin Procter. Meet this year’s CBL Scholars: Deniz Masjedi, Alvaro Flores, and Tavia Pappaly. All three have secured summer associate positions at prestigious law firms. Deniz Masjedi: A Passion for Helping Founders Grow Companies Deniz Masjedi, who was born in Iran and moved to Southern California as a teenager, traces her interest in law to her family’s immigration journey and her desire to advocate for herself and her family. She earned a bachelor’s degree at UC Berkeley, where she studied political science and sociology. At UC Law SF, she serves as a 1L representative for the Iranian Law Students Association and is active in the Business Law Society and Technology & Law Society. Next fall, she will serve as director of mentorship for the Technology & Law Society and director of professional development for the Business Law Society. She will join Sidley Austin this year as a 1L/2L summer associate. Q: What draws you to business law? A: Prior to law school, I worked in Cooley LLP’s Private Companies practice group as a corporate paralegal for three years, supporting over 100 venture-backed startups and venture capital funds. I found purpose in helping founders transform their vision into successful companies. It was incredibly rewarding being part of their journeys—from company formation and initial financing to major transactions such as M&A deals. What excites me most about this field is the potential for a small, innovative company to become the next Google or Zoom, shaping how people communicate and access information. I hope to continue supporting entrepreneurs and investors as a corporate attorney. Q: What does it mean to you to have been awarded this scholarship? A: As the first person in my family to attend law school in the United States, receiving this scholarship is a tremendous honor. My parents and I left everything behind so that I could enjoy the freedom to practice my religion without persecution and pursue a career in law as a woman. This award is an acknowledgment of my dedication to business law and motivates me to continue pursuing excellence in this field. It also recognizes years of hard work—learning a new language, navigating the college and law school application process, and ultimately building a career in the legal profession. Q: How will this scholarship help support your future goals? A: This scholarship will provide access to mentorship from leaders in the field, enabling me to develop the skills necessary to offer practical advice and effective representation to future clients. It also eases the financial burden of law school, letting me focus on my coursework and deepen my commitment to corporate law. As an immigrant, breaking into the legal profession has not always been easy, and the time that mentors have invested in me has been instrumental to my progress. This scholarship will allow me to continue building those relationships while positioning me to one day mentor others pursuing similar paths. Alvaro Flores: Inspired by Entrepreneurs The son of Mexican immigrants raised in San Antonio, Texas, Alvaro Flores says he has long been interested in how policy, markets, and culture shape society. He studied international relations and global economy at the University of Southern California, with minors in business finance and legal studies. His experiences span local political organizing, venture capital and startup work, and teaching entrepreneurship. At UC Law SF, he is involved in the Business Law Society, Technology & Law Society, and the Latinx Law Student Association. He will join Perkins Coie as a 1L/2L summer associate with the firm’s Emerging Companies & Venture Capital practice. Q: What draws you to business law? A: I’m drawn to stories of entrepreneurs whose simple ideas become companies that shape the economy and society. Spending time in venture capital and working directly with founders has shown me that many important decisions in the scaling process are ultimately legal ones, particularly how companies are structured and how capital is raised. Business law sits at the intersection of innovation and equity. It offers a way to stay close to the pace of technological change while also helping expand who gets to participate in it. There is something special about being part of that process here in the Bay Area, where the American Dream feels like it is reimagined in real time. Q: What does it mean to you to have been awarded this scholarship? A: I am truly grateful for the support and belief this scholarship represents. I see it not just as recognition, but also as alignment. The CBL Scholars Program’s focus on developing individuals who engage deeply with the business and technology ecosystem reflects the path I have been intentionally building. More than anything, it feels like an investment in that journey. I have been thoughtful about each next step–whether teaching, working in venture capital, or building multidisciplinary experiences–and this scholarship reinforces that those efforts come together in a meaningful way. Q: How will this scholarship help support your future goals? A: It allows me to focus more on developing as a business lawyer, without the distraction of financial constraints. Beyond that, the mentorship and access to the Bay Area network are just as valuable. I’m especially interested in working with early-stage companies and investors, so the opportunity to learn directly from people operating at a high level in that space is huge. Tavia Pappaly: Working in the Wine Industry Sparked Interest in Business and Law Tavia Pappaly spent five years in the wine industry before deciding to pursue law school with a goal of becoming a corporate transactions attorney. Pappaly says she wants to use her legal skills to help business grow and thrive. A first-generation law student from Fairfield, California, she is a member of the Legal Education Opportunity Program (LEOP) and will serve as vice president of social planning for the UC Law SF Sports Law Society in her 2L year. She plans to work as a summer associate at Gibson Dunn in San Francisco after her 2L year. Q: What draws you to business law? A: Business law brings together many of my interests and personal experiences. As the daughter of immigrants who grew up around a family-owned small business, I saw firsthand both the opportunities and challenges of building something from the ground up. That perspective, combined with my experience in the wine industry, solidified my interest in helping businesses of all sizes tackle evolving legal challenges. I’m excited to grow within the corporate law space and develop the skills and experience to support businesses at every stage. I’m deeply motivated to give back to immigrant communities and small business owners, whose experiences often intersect. By building a strong foundation in corporate law, I hope to support those working to create generational stability and to contribute in a meaningful way to the communities that have shaped me. Q: What does it mean to you to have been awarded this scholarship? A: Receiving this scholarship is incredibly meaningful to me. I take great pride in my background as a first-generation student and a woman of color, so being recognized for my potential in a field that has historically underrepresented those communities is both affirming and empowering. This program will help connect me to the resources and committed mentors that will help me succeed. Beyond that, it is no secret that law school is a significant financial commitment. This scholarship helps ease both the financial burden and the stress that comes with it, allowing me to focus more on my education and long-term goals. I am incredibly grateful! Q: How will this scholarship help support your future goals? A: This scholarship has already connected me with an incredible network of faculty, business law professionals, and like-minded students. The community fostered by the Center for Business Law is deeply supportive, and I’m excited to grow alongside my cohort. I truly believe this network will play an important role in helping me thrive in law school and position me for success in business law. As I have seen firsthand how impactful both financial scholarship and mentorship are, I hope to give back in this same way later in my career.
Gamers sue Nintendo over tariff refunds, saying consumers should get the money back
Two gamers have filed a class action lawsuit against Nintendo, alleging that the company will be unjustly enriching itself with any refund it secures from the U.S. government over widespread tariffs last year that, among other things, hiked the prices of Nintendo hardware and accessories. “Unless restrained by this Court, Nintendo stands to recover the same tariff payments twice—once from consumers through higher prices and again from the federal government through tariff refunds, including interest paid by the government on those funds,” the suit states. Nintendo sued the U.S. government to secure a tariff refund in March, after the Supreme Court struck down the tariffs a month prior, saying they were illegally implemented by President Donald Trump.. The gamers who have sued, California-based Gregory Hoffert and Washington-based Prashant Sharan, both say they purchased Nintendo goods that had increased in price due to tariffs, according to the complaint. They filed their suit in the Western District court of Nintendo of America’s home state of Washington and are seeking class action status to represent all people in the U.S. who purchased price-hiked Nintendo goods between February 1, 2025 and February 24, 2026. They allege that Nintendo’s recovery of any tariff refunds would constitute unjust enrichment and violate Washington state consumer protection law. Similar class action lawsuits pressing companies to pass on tariff refunds have been previously filed against FedEx, UPS and eyeglass importer EssilorLuxottica. The tariffs were announced in early April, and by mid-month, Nintendo had announced $5 price increases for controllers for the then-forthcoming Switch 2. In August, it raised the price of the original Switch. In their suit, the gamers cite comments from Nintendo executives connecting the tariffs to price increases. In May 2025, a month after the tariffs were imposed, Nintendo CEO Shuntaro Furukawa told investors “Our basic policy is that for any country or region, if tariffs are imposed, we recognize them as a part of the cost and incorporate them into the price.” Nintendo’s March lawsuit, along with tariff-recovery suits from hundreds of other companies was immediately put on hold pending the implementation of a refund system. The U.S. government announced the beginning of the refund process earlier this week. Companies could receive as much as $160 billion, per CNBC. In March 2026, after Nintendo filed its lawsuit to recover the cost of the tariffs, I asked the company if they planned to pass their refund on to customers who’d paid increased prices. The company’s response acknowledged the existence of the lawsuit but avoided answering that question: “We can confirm that we filed a request. We have nothing else to share on this topic.” Even a promise to consumers may not have spared Nintendo this week’s lawsuit. FedEx previously promised to pass its tariff refunds on to consumers. They’ve been sued over them anyway.
Beer giant pours $600M into US production in major bet on American growth
Anheuser-Busch announces a $600 million U.S. investment to boost domestic production, expand veteran hiring, and launch 15 new training centers.
“How to Train Your Dragon 2” crew member severely injured during production
The accident happened in a workshop at Sky Studios Elstree in the U.K.
Fredericksburg region business figures weigh in on state minimum wage bill
Bill could improve regional economy, put strain on small businesses.
Poll workers told to leave Shasta training for opposing politics talk
Two Shasta County poll workers say they were dismissed from a training session after questioning elections chief Clint Curtis.
Acton's domestic dispute twisted into Ramaswamy campaign fodder
Opinion: Dr. Amy Acton's clash with her husband reflects strain of relentless work.
Volume 25 Science Of Speed
Our annual racing deep dive goes full engineering — from chassis and powertrains to tires, batteries, aero, and driver fitness, featuring machines like the new Corvette ZR1 and McLaren Solus GT.
Volume 25 Science Of Speed
Our annual racing deep dive goes full engineering — from chassis and powertrains to tires, batteries, aero, and driver fitness, featuring machines like the new Corvette ZR1 and McLaren Solus GT.
3 business owners file lawsuit to end Oceanfront curfew
Five Oceanfront businesses joined together on Monday to file a temporary restraining order in Virginia Beach Circuit Court to block the enforcement of the Virginia Beach City Council’s curfew. The com...
Angels received a positive health update on Grayson Rodriguez
The Los Angeles Angels received a positive health update on right-hander Grayson Rodriguez, who faced live batters on Monday for the first time since spring training.
Propel gift empowers aging business management innovation
A $50,000 gift from Propel Insurance is helping WSU’s Granger Cobb Institute expand brain health screenings, end-of-life care training, and workforce education to improve healthy aging outcomes in the region.
Propel gift empowers aging business management innovation
A $50,000 gift from Propel Insurance is helping WSU’s Granger Cobb Institute expand brain health screenings, end-of-life care training, and workforce education to improve healthy aging outcomes in the region.
Behind the science: Why it pays to fight a virus on the home turf
The emergence of a nasty new virus or even an unexpected flu strain can pose a big public-health headache. Meanwhile, antiviral drug development moves at an agonizingly slow pace and cringingly high cost. But there’s a way around that.
Try This 1 Movement To Predict How Mobile You'll Be as You Age
In TODAY.com's Expert Tip of the Day, a trainer reveals how to assess your mobility and shares tips for staying mobile and strong as you age.
Databank secures $2 billion of debt for Dallas data center
Data center development has focused on massive projects for AI training in obscure locations. AI inference is pushing construction closer to cities.
Scientists discover skincare compound that kills drug-resistant bacteria
A popular Korean skincare ingredient may be far more powerful than anyone realized. Scientists have discovered that madecassic acid—derived from the herb Centella asiatica—can stop antibiotic-resistant bacteria in their tracks, including dangerous strains of E. coli. By targeting a bacterial protein that humans don’t have, the compound disrupts the microbes’ ability to survive, making it a promising new type of antibiotic.
SRAM Eagle S-Series Combines 9 Groups into 3, Adds New UDH Half Mount
SRAM Half Mount looks pretty interesting, but it may only be offered on the lowest end group?
SRAM Quietly Releases Eagle S-Series Drivetrains That Are Not T-Type
A Half Mount UDH Plate adds protection to non T-Type derailleurs
Local Politics: City Council votes today on plans to turn McCoy Park into an NWSL training facility
After spending years working with neighbors and promising improvements to benefit disabled residents, elected officials are prepared to give away a 28-acre park in the poorest corner of the city for the use of billionaire investors.
After a year of turmoil, cancer researchers see promising signs for mRNA vaccines
The mRNA-based Covid vaccines helped blunt the impact of the pandemic but also sparked political backlash that has threatened to slow or derail dozens of potential cancer treatments. Now there are signs that the mRNA train is still on track.
Score MS Office 2024 Home and Business plus 8 training courses for 72% off
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Health care fight intensifies as Congress weighs GOP-backed insurance changes
Congressional Republicans say they are taking steps on health care — but Democrats counter that previous efforts are already costing Virginians coverage and putting hospitals under strain. Republicans have pointed to measures like the Rural Health Transformation Fund and an association health plan expansion bill that has cleared the House and is headed to the […]
UFC veteran breaks down Khamzat Chimaev vs. Sean Strickland
In what's turned into one of the bigger grudge matches in recent years, middleweight champion Khamzat Chimaev and former titleholder Sean Strickland headline the UFC 328 fight card on May 9th. The undefeated Chimaev and Strickland used to train together but their relationship deteriorated into ...
Caitlin Clark says she is '100% healthy' heading into Fever training camp after injury-riddled 2025 season
Caitlin Clark said she is "100% healthy" heading into Indiana Fever training camp after quad, groin and ankle injuries hampered her 2025 WNBA season.
Advancing epidemic and pandemic preparedness through research readiness: SEAR Unity Studies Network Sites chart the way forward in 2026
On 25 March 2026, WHO Regional Office for the South‑East Asia Region (SEARO) convened the first meeting of the SEAR Chapter of the Unity Studies Network Meeting in 2026 to take stock of progress and plan next steps for strengthening epidemic and pandemic preparedness across the Region. The meeting focused on reviewing the ongoing adaptation of selected, standard Unity Study methodologies, sharing field implementation experiences from 2025, and identifying key priorities to guide collaborative work in 2026.Held virtually, the meeting brought together representatives from six Unity Studies network sites across five countries (Bangladesh, India, Nepal, Sri Lanka, and Thailand) as well as participants from all three levels of WHO.The meeting took place against the backdrop of ongoing regional efforts in South‑East Asia to strengthen early investigations and studies for epidemic and pandemic preparedness, with a focus on pandemic influenza and other emerging respiratory pathogens with epidemic and pandemic potential. In this context, and as part of preparedness for the rapid generation of evidence, the WHO Health Emergencies Programme in SEAR (WHE/SEAR) encourages Unity Studies sites to adapt prioritized, standardized Unity Study protocols to their national contexts. This approach supports the generation of timely and reliable evidence to inform public health decision‑making during epidemics and pandemics.These efforts are supported through a combination of experience sharing, participation in the global Unity Studies network webinars, capacity‑building of the national public health workforce, and regional collaboration that promotes inter‑country, inter‑agency, and inter‑ministerial action. In parallel, sites are encouraged to explore diversified funding sources to help sustain research preparedness over the long term.Discussions highlighted the importance of WHO’s catalytic financial support through the Pandemic Influenza Preparedness (PIP) Partnership Contributions (PIP‑PC). When combined with national and institutional resources, this support enables countries and sites to maintain continuity of activities at a core level and remain prepared to respond rapidly and effectively to future epidemics and pandemics.Regional and Global Updates: Opening the session, Dr Pushpa Ranjan Wijesinghe, Programme Area Manager, Pandemic and Epidemic Management (PEM) Unit, WHO Health Emergencies Programme, highlighted the progress made in operationalizing the Unity Studies Network across the Region and acknowledged the collaborative efforts of WHO at all three levels, together with country unity studies sites. He emphasized the availability of limited but catalytic funding through the Pandemic Influenza Preparedness (PIP) Partnership Contribution (PIP‑PC) workplan at SEARO to sustain network activities in 2026, while encouraging sites to leverage additional funding sources to expand implementation.Representing SEARO, Dr Ashok Basnet, consultant, Pandemic Influenza Preparedness reported that, at the regional level, the Unity Studies Network currently includes six sites across five countries: Bangladesh, India, Nepal, Sri Lanka, and Thailand. He noted that in 2025, catalytic funding supported protocol adaptation, training, and pilot implementation. In addition, a regional Unity Studies symposium held during the Global Public Health Summit in Sri Lanka strengthened and advocated collaboration between the Unity Studies site, national decision‑making forum, relevant technical units of the ministry of health, WHO and other partners.The symposium also highlighted the role of early investigations and studies as a key component of a multi‑source surveillance system needed at country level to generate a broad range of evidence. It underscored the critical role of country Unity Studies sites and similar research entities in generating evidence to support public health decision‑making during epidemics and pandemics.Participants of the WHO GISRS Unity Studies Sites Network- SEAR Chapter Meeting 2026 (Photo credit- PEM/WHE/SEARO). SEARO also updated participants on ongoing efforts to develop a regional Unity Studies webpage and to promote participation in global knowledge‑sharing platforms, including webinars and the WHO Community of Practice. Priorities for 2026 include supporting the implementation of Unity protocols, strengthening collaboration and experience sharing across sites, documenting and publishing findings, integrating Unity Studies activities as a component of multi-source national surveillance systems, and building workforce capacity.Dr Nickle Boddington of the Global Influenza Programme (GIP) at WHO Headquarters, which coordinates the Unity Studies Network globally, provided updates on global Unity Studies activities, noting that the network has expanded to 16 sites worldwide. New and updated protocols, including rapid clinical severity assessment tools and standardized data platforms, are being developed to support implementation. The global Community of Practice has also been launched to facilitate technical exchange, and continued support will be provided to sites for protocol adaptation, ethical approvals, and readiness for early investigation during outbreaks. Updates from Unity Studies sites in SEAR in 2025Unity Studies sites shared progress and experiences in implementing protocols across diverse country contexts. Sites initiated activities in 2025 using catalytic funding from SEARO, complemented by the mobilization of internal national resources. The Institute of Epidemiology, Disease Control and Research (IEDCR), Bangladesh, reported the adoption and piloting of investigation protocols on non‑seasonal influenza and emerging respiratory diseases during recent avian influenza outbreaks, demonstrating a multi‑source funding approach involving government, WHO and One Health partners.The Hamdard Institute of Medical Sciences and Research (HIMSR), New Delhi, India, highlighted the piloting of household transmission investigation studies, the expansion of the national Unity Studies network, and the contribution of study findings to global evidence through published outputs. The All-India Institute of Medical Sciences (AIIMS), New Delhi, India, shared experiences from large‑scale seroprevalence studies conducted during the COVID‑19 pandemic, recent efforts to strengthen national Unity network sites through training activities, and plans to initiate multi‑centre studies on respiratory viruses.Similarly, Prince of Songkla University, Thailand, highlighted its experience in developing integrated surveillance and diagnostic protocols for multiple respiratory pathogens, enhancing readiness for targeted investigations of emerging threats. The University of Sri Jayewardenepura, Sri Lanka, reported ongoing engagement with the Ministry of Health and exploration of additional funding sources to initiate studies. Meanwhile, the National Public Health Laboratory, Nepal, provided updates on continued coordination with national stakeholders to initiate implementation, despite delays related to the country context.Across sites, shared experiences underscored the importance of protocol adaptation, multisectoral collaboration, and sustainable funding to operationalize Unity Studies and generate evidence for public health action.Discussions and Way ForwardThe meeting reinforced key priorities for 2026, including strengthening unity studies protocol implementation, enhancing collaboration, knowledge sharing, integrating research as a component of national multi-source surveillance systems, and ensuring that generated evidence informs public health decision‑making. Participants also emphasized the importance of documentation, visibility, and leveraging multiple funding sources, and agreed on the following action points.Unity Studies Sites and WHO Country Offices:Advance adoption and implementation of at least one Unity protocol, continuing activities initiated in 2025 with catalytic funding, supplemented with other sources of funding where feasible.Document site-specific experiences, outcomes, and lessons learned; participate in regional and global knowledge-sharing platforms including WHO webinars and the Community of Practice.Work closely with ministries of health to establish unified national platforms for translating generated evidence into national public health decision-making. WHO Country Offices may facilitate technical support and complementary, synergistic funding opportunities where feasible. WHO Regional OfficeCoordinate with WHO Country Offices to support implementation of core unity studies activities by network sites through catalytic funding and provide technical guidance and virtual engagement opportunities throughout 2026.Facilitate the participation of all Unity Studies sites in the regional meeting on Unity Studies implementation in October 2026, to be held back‑to‑back with the Annual SEAR Regional PIP‑PC Meeting; develop and host a SEAR Unity Studies website; and mobilize support from academic institutions within the SEAR Unity Studies Network to support the development of regional manuscripts that showcase Unity Studies activities to scientific audiences and promote knowledge‑sharing.Explore complementary funding opportunities and partnerships to sustain and expand network activities across the Region.WHO HeadquartersProvide global technical guidance, updated protocols, and toolkits to support the implementation of Unity Studies in SEAR.Facilitate engagement of SEAR sites in global webinars, the Community of Practice, and opportunities to showcase their work.Support joint publications, inclusion of SEAR experiences in global outputs, and identification of additional funding and collaborative opportunities to strengthen Unity Studies activities.
AI can open up possibilities for strained rural health care providers in Utah
A St. George conference about how technology can help rural health care providers allowed for connections that will help bring AI innovation to busy offices.
Indiana Fever training camp begins with health and focus on improved style
The Indiana Fever began their 2026 campaign on Sunday. Players were healthy and the roster is taking shape, but some questions remained.
Caitlin Clark says she's '100% healthy' as Fever begin training camp, plans to 'be smarter' in pushing herself
One question for every WNBA team: Caitlin Clark's health, Azzi Fudd's fit, Angel Reese's impact and more
Training camps are now open across the league and it's time to see what these rosters can do
Lake State Railway, TGS Cedar Port receive ASLRRA Business Development Awards
MINNEAPOLIS — Lake State Railway and TCS Cedar Port, a Texas industrial park which operates its own short line, were honored with Business Development Awards at the recent American Short Line and Regional Railroad annual conference. Also honored on the conference’s final day was Gary Vaughn, recipient of the ASLRRA’s Schlosser Distinguished Service Award. Lake State Railway was recognized for its work
Plans Advancing For New Health/Workforce Training Hub In Humboldt Park
Updated plans have been revealed for the upcoming health and job training hub at 3446 West North Avenue in Humboldt Park.
Sign up now for the Bulls Camp matchday special!
On 3 May v Sturm GrazThe Bulls Camp Matchday Special is back, bringing you a day packed with football action!When? Sunday 3 May 2026. The day will begin with an entertaining training session on the gr...
Why The Tencent Music Entertainment Group (TME) Story Is Shifting As Valuation And Views Reset
Tencent Music Entertainment Group has seen its fair value estimate reset from about US$26.92 to about US$17.98, a sizable shift that points to a more restrained view of potential upside at current levels. This change lines up with mixed analyst commentary, where a cluster of downgrades focused on competition and earnings visibility sits alongside at least one upgrade highlighting possible upside if current headwinds ease. Read on to see what is driving this evolving narrative and how you can...
Crupper Wins Boathouse Row On Front End, Punches Preakness Ticket
Robert Zoellner’s homebred Crupper was prominent on the front end Saturday and won the $200,000 Boathouse Row Stakes at Oaklawn Park while earning an automatic berth in the $2-million Preakness Stakes (G1) May 16 at Laurel Park. Trained by Donnie Von Hemel and ridden by Junior Alvarado, the son of ...
REMSA Health launches student program to train the next generation of medical emergency first responders (sponsored)
Reno's independent, online news and events source. Established in 2009.
Top US cities with the most affordable rent prices in 2026
People across the US are feeling the strain of rising living costs. These are the 31 most affordable US cities for renters in 2026.
Ohio Judge Temporarily Pauses Hemp Product Ban For Two Businesses
“The judge here is concerned about retailers that have made big investments in inventory, and they can’t move it, they can’t transport it, they can’t sell it.” By Megan Henry, Ohio Capital Journal A Franklin County judge granted a temporary restraining order (TRO) to allow two smoke shops to sell off their products less than […]
Mpox vaccination urged after more-severe strain detected in San Francisco
California health officials are urging high-risk residents to get vaccinated against mpox after a potentially more-severe strain of the virus was detected for the first time in San Francisco.
Russia Signals Pullback in Business Support as Budget Strains Mount
Russia’s government warned it will scale back new support for businesses as mounting fiscal pressures limit its ability to sustain the stimulus that helped drive recent economic growth, Economic Development Minister Maxim Reshetnikov said Friday.
WA police lag on required deescalation, mental health training
Washington law enforcement officers are way behind completing training required under a marquee police accountability law.
Meghan Trainor cancels tour, including Hershey stop
A pop star's planned stop in Hershey — along with the rest of her tour dates — have been canceled.
\'It\'s personal to me\': Bill requiring mental health awareness training for coaches passes in state House
A bill requiring mental health awareness training for school athletics staff is headed to the Pennsylvania Senate after passing in the state House on Wednesday.
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 […]
Why science communication has become a matter of life and death
Scientists have always been trained to do research. For 40 years, they’ve been asked to ensure people believe it. How’s it going?
Alstom sheds third of its value after train maker pulls cash flow target
Alstom shares fell more than 33% when they opened with an around 15 minute delay on Friday, after the French train maker pulled its three-year cash flow forecast the night before.
"The beginning of a vision": Panthers and Atrium Health share the future for training facility in Uptown Charlotte
Underneath a Carolina blue sky, the Panthers and Atrium Health announced a partnership for the Atrium Health Training Facility, a state-of-the-art practice facility that wills serve the Panthers and the community.
OpenAI starts offering a biology-tuned LLM
GPT-Rosalind is an LLM trained on biology workflows, available in closed access.
HHS Wants to Be Done With Drama, for Now
As Trump nominates a new, uncontroversial CDC director, a more restrained version of RFK Jr. is appearing.
Panthers' Dave Canales discusses new Atrium Health Training Facility
The Carolina Panthers announced their new practice facility in uptown Charlotte will be known as the Atrium Health Training Facility on Thursday. Head coach Dave Canales spoke at the event.
Carolina Panthers unveil Atrium Health Training Facility naming partnership
New facility is part of broader Bank of America Stadium renovation and expected to open by Training Camp 2027.
Panthers announce Atrium Health as official naming partner of new Atrium Health Training Facility
Announcing a new naming partnership with Atrium Health for the team's Uptown Charlotte training site, which will be known as the Atrium Health Training Facility. Atrium Health will serve as the official naming partner for the facility, which is an integra
Gov. Sanders announces appointments - Talk Business & Politics
Gov. Sarah Sanders announced Thursday (April 16) the following appointments to state boards and commissions. Arkansas Commission on Law Enforcement Standards and Training Jeffery Hagar, Sherwood, to the Arkansas Commission...
Railmark announces return to passenger rail business
HENDERSON, Ky. — Railmark Holdings, which operates short lines and provides industrial switching along with a number of other rail services, is returning to the passenger rail business through subsidiary Train Travel Inc., the company announced on Wednesday, April 15. Train Travel’s 38-year history includes operation of the Star Clipper Dinner Train and Reno Fun Train, as well as a rail-centric
Enhancing workforce training to prevent substance use disorders
KU researchers have updated training materials that prepare health care providers to prevent, identify and treat substance use disorders across Kansas.
Dining, lodging businesses struggle as middle-class Minnesotans cut back
Decline in leisure spending signals strain for the state’s nearly $9 billion hospitality industry.
Analysis | Trump tests loyalty of Christian supporters as erratic behavior escalates
The president maintains his hold on the Christian right, but his bluster, fight with the pope and portrayal of himself as a Jesus-like figure strain that bond.
How Dangerous Is Anthropic’s New AI Model? Its Chief Science Officer Explains.
Just how fast is the future coming at us, and how worried should we be? Last week, Anthropic announced Claude Mythos, the latest in what has become the leading family of AI models. In a very short time, AI models from Anthropic and other companies have become shockingly powerful at coding. But Mythos stands out because it is not just able to write code that can hack into critical systems, like those that run financial companies, but also to analyze systems and find and string together vulnerabilities in them, allowing Mythos to evade even sophisticated defenses. Anthropic chose to release Mythos to only about 40 leading corporations, so they could analyze the model’s capabilities and prepare countermeasures, in an effort it calls Project Glasswing. The release of Mythos—and the prospect of similarly powerful AIs to follow—has caused tremors at the top levels of Washington and corporate America. Jared Kaplan, co-founder and chief science officer at Anthropic, is at the center of this breakthrough. We sat down with Kaplan so he could walk us through just how powerful Mythos is, what the implications are for issues like our personal privacy, and what comes next. This conversation has been edited for length and clarity. Sean Fischer: For the layman, how is Claude Mythos different—more powerful, more dangerous—from previous models released by Anthropic? Jared Kaplan: I think most people have experienced the fact that our computers get faster and faster over time and over many decades. There’s this very smooth trend where every 18 months, maybe, computer processing power doubles. I think AI is on a trend in which it’s improving maybe 10 times faster than that. A lot of the earliest work that I did in AI was around identifying this scaling trend in AI. Claude Mythos is the latest model from Anthropic, but it’s not different because it’s qualitatively different. It’s really just kind of the culmination of the trend of AI models getting smarter and smarter at all kinds of general capabilities, from reasoning to software engineering to scientific research to knowledge work. For us, it was the first model to demonstrate very elite-level cybersecurity capabilities. It wasn’t because we trained Claude Mythos to focus on cybersecurity, but it was because, as a byproduct of its general intelligence and its general ability with software, it’s particularly good at identifying vulnerabilities in software and how to exploit them.
Democratic lawmakers seek fix to Colorado’s stalled prison population plan
Colorado’s prison population plan was designed to prevent overcrowding. Instead, eight months after it was triggered, the system remains strained and largely ineffective, prompting two Democratic lawmakers to push for changes through new legislation. According to its sponsors, Senate Bill 036 lays out the proposed changes. Sen. Mike Weissman and Sen. Julie Gonzales say the […]
Train Day, 'The Ugly Duckling' and children's garden party: 3 things to do this weekend
Check out our top 3
Debt Alarms Ring as Countries Rack Up More Emergency Spending
Amid signs of a prolonged period of high energy costs, policymakers are urging restraint as governments open up the public till to protect households and businesses.
State approves $3 Million for Northwest Jacksonville programs for small businesses, crime prevention
City officials announced that the state has approved a $3 million appropriation to support programs in northwest Jacksonville aimed at boosting small businesses, expanding vocational and workforce training, addressing food insecurity and preventing youth crime.
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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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