AI ethics on Wednesday, 29 July 2026

The future of artificial intelligence depends on finding more skilled humans for some very physical jobs.

Is more data about your body actually good for you?

In the latest example, the Energy Department will convert a shuttered Cold War-era uranium enrichment facility into a data center campus and gas plants.

We’re looking for college and high school students to tell us about A.I.

Strong corporate results buoy market as investors move money away from tech and semiconductor stocks London’s FTSE 100 stock index has touched a fresh high, driven by strong corporate results as investors moved money away from tech and semiconductor stocks amid the global tech stock sell-off . The UK’s blue chip index rose as high as 10,951 points on Wednesday morning before falling back slightly, its best level since 27 February, the day before the US and Israel began attacks on Iran and sparke

Some companies reportedly using leaderboards for employees who used the most AI in their work Follow our Australia news live blog for latest updates Get our breaking news email , free app or daily news podcast Software firm Atlassian has sought to tighten tracking of its staff’s AI spending by introducing “wallets” with monthly caps of up $2,000 for each employee, amid an explosion in costs at other tech companies. The move by Atlassian, which recently cited AI as part of the reason behind cutti

ChatGPT developer says activity by autonomous tool was not at severity or scale of what occurred at Hugging Face OpenAI has revealed that a cyber-attack carried out by a rogue AI agent had more than one victim. The ChatGPT developer said the agent – an autonomous tool able to carry out sequences of commands without human help – had located and used logins to access four other unnamed “publicly-available services” in addition to the US startup Hugging Face. Continue reading...

The Nasdaq 100 is flirting with correction territory as investors brace for earnings reports from Meta, Microsoft and Amazon.

It feels bad enough when an open letter signed by leading economists warns that AI might steal your job. The fact it may soon be better than you at making dinner? Insult to injury. But that’s exactly what the company 1X promised when it showed off a pair of new, impressively dexterous (and, to some,…

Energy regulator’s plan would mean upfront fees or financial security via letters of credit, bonds or cash deposits Datacentre projects in Britain will be forced to pay hundreds of millions of pounds to plug into the power grid under proposals to tackle a growing electricity connection logjam . Ofgem, the sector watchdog, said it was taking action to discourage “speculative” datacentre projects from causing unnecessary delays to the grid connection queue, which includes hospitals, schools and ho

‘Racist bias’ overestimating ages in Home Office’s facial-recognition software will lead to solo children being housed with adults, says Human Rights Network Flawed and racialised models that underpin the AI-powered age-detection systems to be introduced by the British government will endanger children, rights groups and children’s charities have warned. Urging ministers to reverse plans to introduce facial age-estimation technology to screen migrants, critics have warned that black children arr

Federal-state stoush comes as rating agency warns that electricity bills could skyrocket Follow our Australia news live blog for latest updates Get our breaking news email , free app or daily news podcast Queensland and the Northern Territory have rejected the federal government’s plans to mandate that AI datacentres use renewable power, rubbishing Anthony Albanese’s proposals to regulate the booming technology as “underdeveloped ideas that hand increased power to Canberra”. The latest federal-s

Microsoft is working on an AI "super app" that combines Copilot's chat, coding, and agentic capabilities. During an earnings call on Wednesday, Microsoft CEO Satya Nadella said the app will span "both consumer and commercial experiences" when it launches this year. "Copilot is evolving rapidly from chat to Cowork to Autopilots," Nadella said. "This quarter, […]

Meta is all-in on AI, and sometime soon, the company is going to make a big push into personal AI agents that can do things on your behalf. On Wednesday's Q2 2026 earnings call, CEO Mark Zuckerberg previewed a high-level vision of how the company is thinking about personal agents and what it will do […]

xAI is suing Minnesota Attorney General Keith Ellison over a law passed back in May that broadly targets "nudification" apps, claiming that the statute's punitive provisions leave the company with "no practical choice but to restrict Grok Imagine's image-editing features in various ways." The law, the company argues, violates the First Amendment. Back in January, […]

Government ban on foreign-made robots may hinder instead of help US robotics.

I watched a new tool try to get around the model safeguards of four major frontier companies. You might be surprised by how they performed.

Artificial intelligence is reshaping the skills employers expect from new graduates. In response, universities are scrambling to launch new courses, research centers, and industry partnerships that prepare students for today’s workforce. But building a cutting-edge AI curriculum demands funding and access to industry networks, resources that remain unevenly distributed across higher education. At North Carolina Central University, Siobahn Day Grady is trying to change that equation. In January 2

A standardized framework for regulating the safety and efficacy of AI in healthcare has yet to be established.

The AI agent that escaped from OpenAI and hacked developer platform Hugging Face attacked other companies as well, OpenAI revealed on Tuesday. The update substantially widens the scope of an already concerning incident, which has alarmed industry insiders and fueled growing calls for stronger oversight on frontier AI systems. In an update to a blog […]

Deciding what's real on the Internet won't be easy in the future.

Artificial intelligence is rapidly becoming part of everyday infrastructure–in some places. It helps write emails and software code, filters job applications, powers recommendation systems, and is increasingly being integrated into education, health care, finance, and public administration. Industry leaders talk about “AI for everyone,” while governments rush to publish national AI strategies and build sovereign compute. Yet over the past decade, working on digital inclusion and digital literacy

Earlier this month, OpenAI gave several of its AI models a task: complete a test designed to measure their cybersecurity capabilities. It put the systems in a sandboxed environment without an internet connection and set them off to work. What happened next is almost laughably silly - but also, as Adam Gleave, cofounder and CEO […]

Parents are getting fed up with garbled bedtime stories that feature characters based on actual photos of their children.

A rural district in New York state has made global headlines for plans to introduce a humanoid robot into high school classrooms as a teaching assistant.

In a new disclosure, OpenAI says its agent used exposed logins to gain access to at least four “publicly available services” in its unhinged quest to solve a test.

As Meta pours billions into AI infrastructure and agents, Zuckerberg is working to convince investors that the payoff will be worth the price.

When Microsoft reported killer fourth-quarter earnings for its fiscal 2026 year (which ended June 30), it tucked in an interesting little tidbit about how its investments in the two biggest, and competing, AI labs are doing.

On the company’s second-quarter earnings call Wednesday, CEO Mark Zuckerberg said Meta sees a “large enterprise opportunity” spanning AI agents, APIs, compute, and internal software.

At TechCrunch Disrupt 2026, the AI Stage is back to dig into the single hottest topic in the community for the past few years, presented by Google for Startups.

Weng previously served as the VP of AI Safety Research at OpenAI.

5 current and former government technology officials assess whether federal cyber defenses can keep up.

The startup analyzes calls, messages, and CRM data to identify effective sales techniques and turn them into playbooks for AI agents.

The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence.

Rules aimed only at downstream applications can make AI products less safe. Policymakers should hold both model makers and the companies building on them accountable.

The deal is Cyera's third acquisition this year.

Social media chief defends strategy based on personalised bots as costs rise and revenue projections disappoint

“The White House Office of Science and Technology Policy (OSTP) will convene an interagency group to monitor advancements at the intersection of biological sciences and artificial intelligence, including in silico life sciences research,” the guidance says.

The New Jersey-based workers unanimously declared their support for joining LiUNA Local 724 in the labor group’s first victory on a CBS Studios series.

Lawyers for former president insist he did not authorise the projection following legal challenge from leftwing groups

OpenAI is trying to reassure employees that the business is healthy as competition emerges from Anthropic as well as a host of open-source players.

The Enhancing K-12 Cybersecurity Act failed to pass in 2023. Sens. Mark Warner and Marsha Blackburn said their bill is urgently needed in 2026.

Howard Revisits Disenrollment Decision Joshua.Bay Wed, 07/29/2026 - 06:27 PM In a conversation with  Inside Higher Ed , Interim President Wayne Frederick said Howard reinstated more than 200 students and outlined changes to improve communication. Byline(s) Joshua Bay

Microsoft’s fiscal Q4 revenue of $90 billion topped Wall Street targets, while Copilot reached 30 million paid seats, and an investment in Anthropic delivered a $3.2 billion windfall.

A standoff over the restrictive voting bill Trump is pushing has left nerves raw at the Capitol, with even the typically staid Thune showing signs of frustration.

Hwaseong, South Korea, past midnight. An engineer watches a defect pattern surface on her screen – the kind that, caught now, saves a week of wafers. She is locked in, fully absorbed, the way engineers get when a breakthrough is close. But she has to go home. The law says so. Yet something is disrupting the clock she races against. Artificial intelligence is quietly rewriting what her hours are worth. On June 29, South Korean President Lee Jae Myung stood alongside the leaders of Samsung...

In a three-hour hearing Wednesday, Dr. Anthony Fauci, the influential scientist who led the national response to COVID, refused to respond to questions about his role in school closures and the mask and social distancing guidelines that experts say have drastically set back students’ learning. Subpoenaed by Sen. Rand Paul of Kentucky, the Republican chair […]

Takes aim at eSafety.

The post Senators Push Federal Regulator to Prove School Bus Safety Data Is Accurate appeared first on ProPublica .

The agency wants automation tools to improve efficiency amid an increasing volume of requests, but advocates of transparency and accountability have concerns. The post Homeland Security plans to add more AI to FOIA processing appeared first on FedScoop .

OpenAI revealed rogue AI models compromised more services than initially disclosed, including a Modal customer environment and others.

Robots apparently don't need to be bipedal to be caught up in the FCC's new foreign-made robot ban.

The agentic AI playing field was heavily tilted toward offense, so researchers began using red team agents to help teach their blue counterparts.

Waymo paused highway operations in May after several robotaxis drove into sections that were closed for construction.

New bipartisan legislation would employ artificial intelligence to improve the longitudinal data systems built by state governments to improve educational and workforce outcomes.

As Bryan Kohberger challenges his conviction for murdering four Idaho college students, a new Netflix documentary examines what we know about the case

Agentic AI systems threaten cybersecurity as we know it. A new generation of cyber-capable models, including Anthropic’s Mythos and OpenAI’s GPT-5.6, can find and exploit vulnerabilities in computer systems far faster than human hackers. The technology is so powerful that it has spooked the U.S. government, which has moved to limit, or completely pause, the public release of these models. How well prepared is the Trump administration to secure the government’s computing resources? The rise of ag

Less than a week after OpenAI disclosed that two experimental AI models escaped their testing environment during a cybersecurity exercise The post Anthropic backs urgent call for the most powerful AI labs to hit the brakes appeared first on The New Stack .

As agentic services diversify across the entire enterprise technology stack, the rise of agentic coding tools is being challenged by The post “The beast needs a cage”: Why PortSwigger’s agentic pentesting is kept safe behind bars appeared first on The New Stack .

Pencils are more expensive. So are notebooks, scissors, glue sticks — just about every back-to-school item that families will load into their literal or virtual carts this summer has gone up in price at a time when American families already feel crushed by rising costs. According to one analysis of the 21 most common school […]

Kenya's new crypto rules now empower authorities to seize and convert crypto assets into fiat asset to preserve value during investigations.

The OpenAI CEO discussed a forthcoming artificial intelligence model with federal lawmakers as the cybersecurity debate over the advanced technology intensifies.

Following KPMG, Deloitte, and Ernst & Young, GPTZero has now found fabricated sources and false claims in four PwC Middle East reports. One governance report scored 84 percent AI-generated and promoted a PwC product with unverified customer references. All Big Four firms are now affected by AI hallucinations. The article PwC has allegedly published AI-generated reports containing false or fabricated sources appeared first on The Decoder .

Dark Reading walks through the many twists and turns in the bizarre story of how OpenAI's agent AI system broke out of its sandbox and decided to target Hugging Face, and what CISOs should be aware of.

Dark Reading Confidential Episode 20: Expert Rich Mogull reflects on lessons cyber teams should pull from the OpenAI agent's attack on Hugging Face.

In 2021, Andrew Ivey wrote, “‘I Have Other Data’: The Guardia Nacional and the Entrenchment of Mexico’s Militarization’,” where he warned Mexico was headed toward a militarization trap. Five years later, amidst increased pressure from the Trump administration and the election of a new Mexican president, we asked Andrew to revisit his arguments.Image: Sitio Oficial de Andrés Manuel López ObradorIn your 2021 article, you warned that Mexico was headed toward an entrenched militarization trap. In 20

The new rules give the central bank direct oversight to cut off local access to foreign stablecoins without having to regulate the offshore issuers themselves.

The four additional targeted organizations weren’t named. OpenAI said they were not affected as severely as Hugging Face.

Los dispositivos de localización de objetos tipo AirTag han ganado mucha popularidad en los últimos años para seguirle la pista a todo tipo de pertenencias. Sin embargo, cuando se trata de animales, los sistemas pasivos por Bluetooth se quedan cortos en zonas de campo o cuando el animal se desplaza rápido. Mova, una marca reconocida en el sector del hogar conectado por sus robots aspiradores , ha dado el salto al cuidado de animales con el SureTrack Pro , un localizador GPS diseñado específicame

Los astrónomos llevan décadas intentando desentrañar los misterios de la materia y la energía oscura . Sin embargo, ahora un equipo de científicos de la Universidad de Oxford ha lanzado la más controvertida de las soluciones : no hay nada que buscar, porque la energía oscura no existe. Y se han quedado tan panchos. Lógicamente, las reacciones no se han hecho esperar. Algunos investigadores creen que es una solución interesante en la que vale la pena seguir indagando. Otros, en cambio, consideran

The lawmaker referred to the legislation as the "latest counterproductive attempt to hold Russia accountable for its war against Ukraine."

MoonPay, the global financial technology company powering the movement of value across fiat and digital assets, has launched PayBox, the first payment vault built for AI that lets a person's AI agent transact on the open internet without leaving the conversation.

The initiative is intended to modernize and consolidate IT and data architectures at the Naval Surface Warfare Center Corona Division. The post Navy using LETHALITY Consortium to advance network consolidation initiative appeared first on DefenseScoop .

In Carlsbad, N.M., a tiny district in the southeastern corner of the state, nine of its 12 schools have turned teacher assignments upside-down, inviting their best teachers to coach a team of colleagues, model lessons and take direct responsibility for the achievement of every student the team serves. In exchange, each teacher-leader earns substantially more […]

Nigeria no longer has a payments problem. It has a trust problem. That is the central argument of a new report by Bridgforte, a policy research institute, published in partnership with the United Nations Development Programme (UNDP) Innovation Hub in Lagos, which argues that confidence in Nigeria's financial system is now determined less by how quickly money moves than by how reliably the system responds when something goes wrong. The country processed more than ₦1.2 quad

An OpenAI agent compromised a customer of another technology company, the New York-based firm Modal Labs announced Wednesday. In a technical timeline posted Tuesday, the tech startup Hugging Face explained how an OpenAI agent escaped the AI firm's isolated testing sandbox and accessed another testing environment "hosted by a user of a third-party infrastructure provider."...

Claim was launched with 'blaze of publicity' and 'monstrous all-out attack' on Mail. The post Mail spent £35m fighting Harry’s ‘campaign for Leveson 2’ privacy claim appeared first on Press Gazette .

Jim Cramer said investors should look to Seagate Technology as a barometer of whether the AI infrastructure trade can regain momentum on Wednesday.

The process remains in its early stages. No investors have emerged yet, AMCON spokesperson Jude Nwauzor said.

La FCC a ajouté les robots humanoïdes et les onduleurs électriques fabriqués à l'étranger à sa liste noire des équipements jugés dangereux pour la sécurité nationale américaine. Une décision qui vise sans le dire la Chine, leader mondial de la robotique avancée.

Sandboxes for AI agents may feel like a solved problem. After all, projects like Firecracker, the open-source microVM technology AWS built The post “Stateful systems are incredibly hard to build”: How Perplexity thinks about AI agent sandboxes appeared first on The New Stack .

As his family's financial situation worsened, earning an income became just as important as pursuing a university education.

Here are five key things investors need to know to start the trading day.

The Last Sentinel developer attributes the job cuts to a shift in creative and development direction for the project.

It started as China vs. the US, but it's become a face-off between two fundamentally different ways of building LLMs. And the safety of everything is on the line.

For years, financial institutions have treated compliance as a cost of doing business. A regulation ...

China has criticized the move, accusing the U.S. of protectionism.

The vulnerability in the AI hosting platform Ruflo allows an unauthenticated attacker to take over the system and corrupt memory, so bad behavior can persist after patching.

Once upon a time, a knight in shining armor rode his gallant steed into a village where he was met with cheers and celebration. I like to believe that these heroes still exist — I know one named Fluviano. He’s a student in my English language development class. He does not ride atop a gallant […]

The Federal Communications Commission (FCC) has banned imports of foreign-produced humanoid robotic devices and power inverters, citing “national security” as its primary concern. The devices were added to the FCC’s covered list, meaning the products posed an “unacceptable risk to the national security of the United States or the safety and security of United States...

If 2024 was about GenAI experimentation and 2025 was about finding use cases, 2026 is the year of operationalisation, governance and control. Take a look at our product launch table […] The post The latest Orange Rag Product Table – link here appeared first on Legal IT Insider .

Korean retail investors have racked up heavy losses from leveraged bets on stocks, following rule changes earlier this year.

Babylist founder Natalie Gordon will become executive chair, in a rare founder-to-founder CEO transition.

When I sit down with leaders and ask why they’re investing in AI, the answer almost always comes back to The post Turning 10x developers into 10x value appeared first on The New Stack .

Canadian investment group to partner utility NextEra on data centre in Kentucky

Der Angriff einer KI von OpenAI hat größere Ausmaße als bislang vermutet. Der KI-Agent attackierte vier weitere Onlinedienste und griff gezielt fremde Zugangsdaten ab.

SpaceXAI part en croisade contre une loi du Minnesota interdisant les technologies de « nudification », qui permettent de générer des deepfakes dénudés de personnes réelles. L’entreprise est la première concernée, puisque son chatbot Grok est massivement utilisé pour créer ces images. En début d’année, Grok était sous le feu des critiques : le chatbot de xAI […]

Chinese home appliance maker Midea reported that European demand for its air conditioners continues to soar amid recurrent heatwaves, with two of its factories receiving hundreds of thousands of new orders in a month. The factories, in the eastern city of Wuhu and the southern port city Guangzhou, received new European orders for 200,000 units within a month amid “explosive demand”, the company said in a statement on Wednesday on the Shenzhen Stock Exchange’s investor Q&A platform. The company..

In this edition of AI Prognosis: A conversation about benchmarking leading clinical chatbots, investor view on AI in biopharma, and more.

The Ar Gen 1 is an impressive device, suitable for anyone from students to developers to business owners.

Executives from BCX, Telkom Business and Openserve hosted a channel event to champion trusted data as the foundation of an intelligent company.

Serena Williams doesn’t just defy convention on the tennis court. She’s also applying her competitive mindset to entrepreneurship and venture investing, recently rebranding her firm from Serena Ventures to Starfire Ventures. Williams discusses the investment strategy that has led to 16 unicorns now in her portfolio, what she looks for in founders, and how partnerships with companies from Nike to Ro fit into her broader vision.  This is an abridged transcript of an interview from Rapid Respo

As more companies plug AI agents into the deepest depths of their internal data banks, how can they be sure The post Modus’s operandi: To give AI agents just the right amount of context appeared first on The New Stack .

Agents are writing code faster than humans can review it. The answer is not “review faster”; that would be like The post Shipping code without human verification appeared first on The New Stack .

Samsung und SK Hynix investieren zusammen über eine Billion US-Dollar in neue Fabs. Silicon Motion startet die Entwicklung von SSD-Controllern für PCIe 7.0.

Das "KI-Update" liefert drei mal pro Woche eine Zusammenfassung der wichtigsten KI-Entwicklungen.

American Television Alliance says FCC is issuing conflicting guidance on raising retransmission consent cost issues in connection with TV station mergers and TV station ownership rulemakings

China’s robotics firms have run into a fresh obstacle in their global expansion, after the United States banned imports of new foreign-made models, which analysts say could benefit Tesla and other American developers. The Federal Communications Commission (FCC) added foreign-produced “advanced robotic devices” to its Covered List on Tuesday, blocking new models from obtaining the authorisation required to be imported and sold in the US. The ban will cover all new humanoids, quadrupeds and a...

EEUU sabe qué se siente cuando China controla un recurso crítico y decide usarlo como palanca en la mesa de negociación. Le ha pasado con las tierras raras y otros minerales estratégicos, y no quiere que se repita ni con la robótica ni con la electrónica de potencia que sostiene sus centros de datos de inteligencia artificial (IA). Este es el escenario en el que el Gobierno liderado por Donald Trump ha decidido actuar antes de que esta dependencia se convierta en una vulnerabilidad. La Comisión

Ya está en marcha el primer data center de Inteligencia Artificial impulsado por energía eólica de China . Se trata de una innovadora instalación en la Región Autónoma Hui de Ningxia, en la parte noroccidental del país, y cuenta con un suministro de energía renovable que le permite operar usando electricidad 100% limpia. Esto supone todo un hito para el país asiático y también para la industria global si tenemos en cuenta el debate que suscita el enorme impacto medioambiental de estas infraestru

OpenAI has released Codex Security CLI, an open-source tool that automatically detects and fixes vulnerabilities in code repositories. Previously known internally as "Aardvark," the system has already helped fix more than 3,000 critical security flaws, according to OpenAI. It competes directly with Anthropic's Claude Security, as both AI companies race to match the growing automation of cyberattacks with AI-powered defense. The article OpenAI open-sources Codex Security CLI to help developers fi

The regulator said a fee of between £237,500 to £712,500 per megawatt should be charged for upcoming projects.

Google on Wednesday launched its artificial intelligence agent Gemini Spark in the Hong Kong market, giving local users direct access to a smart assistant to manage complex digital workflows. The launch came months after the American tech giant’s decision in March to lift regional geofences for generative AI services, starting with the Gemini chatbot. Hong Kong users can now access Gemini without using a virtual private network or third-party platform. The roll-out of the Spark agent echoes an..

The proposed Kenya Artificial Intelligence and Other Emerging Technologies Policy says individuals "are entitled to know when an AI system is acting on them" and requires organisations to disclose when customers are communicating directly with AI.

Democrat Andy Beshear sent a letter to the Republican Senator who has been absent from his public duties and faces questions about his health status.

China’s increasing clout in the global semiconductor supply chain is accelerating the unravelling of the artificial-intelligence trade, as expectations grow that the Asian nation will challenge foreign tech juggernauts by supplying the world with cheaper alternative products. The US$9.8 billion stock offering of ChangXin Memory Technologies (CXMT) in Shanghai provided the Chinese maker of dynamic random access memory (DRAM) chips with equity funding to finance its expansion of market share home.

A new investment opportunity became available to millions of American babies and children this summer. Trump Accounts, which allow parents and guardians to establish an individual retirement account for children under age 18 who have a valid Social Security number, went live on July 4. Babies born between Jan. 1, 2025, and Dec. 31, 2028 […]

The private equity firm, already THE•TEAM's majority investor, will make an additional investment to fund the buyout. Source

Artificial intelligence shifts hyperscale investment towards cities with abundant electricity, reshaping global data centre markets.

Chinese manufacturers of multilayer ceramic capacitors (MLCCs) – tiny components required in great numbers to regulate electrical flow in electronic devices – are riding a stock rally on the back of explosive first-half earnings, fuelled by insatiable global demand for artificial intelligence infrastructure. Shares of Shenzhen-listed Guangdong Fenghua Advanced Technology, one of the country’s leading producers of consumer-grade MLCCs, surged by the exchange-imposed 10 per cent daily limit on...

A plan to open the biggest sporting tournament, in part, to private investors has drawn widespread backlash from soccer associations and politicians around the world.

“Our Acuity ISR/Strike software brings collaborative autonomy to Mayhem 10, rapidly delivering next-generation capabilities through platform-agnostic software with operator oversight,” said Jason Brown, general manager of Applied Intuition. The post AV and Applied Intuition team up to bring collaborative autonomy to new Mayhem 10 drone appeared first on DefenseScoop .

Comme chaque année, l’Agence nationale des fréquences publie son bilan de surveillance des terminaux mobiles, portant notamment sur les niveaux d’exposition aux ondes. En 2025, 12 % des smartphones dépassaient les limites réglementaires. Au total, pas moins de 23 % des téléphones portables n’étaient pas conformes, tous griefs confondus. Chaque année, l’ANFR prélève des terminaux dans […]

Its analysts have tempered optimism on the sector, writing that the robot industry faces several headwinds that could slow growth.

Singapore's central bank is establishing an AI-Driven Cyber and Technology Risk Taskforce in collaboration with the country's leadingg commercial banks and tech companies.

Nasscom has urged the Supreme Court to define high-risk AI use and clarify that technical audits should not automatically require source code disclosure. The post What Nasscom wants changed in the Supreme Court’s draft AI rules appeared first on MEDIANAMA .

Policymakers, employers, and professional organizations have opportunities to design work environments that make us healthier, write Lilly Springer, David Slusky, and Anupam B. Jena.

The young are searching for a new political grammar rooted in democracy and accountability.

The online data repository Kaggle has removed a problematic dataset for violating intellectual property rights months after it was flagged by sleuths for containing celebrity photos and lacking information on data provenance or confirmed medical diagnoses. Researchers had used the images to train machine learning algorithms to detect stroke, but the dataset instead contained images … Continue reading Kaggle removes problematic stroke dataset for copyright infringement

In fünf Sessions lernen IT-Entscheider, KI strategisch im Unternehmen zu verankern und dabei Mitarbeitende mitzunehmen – alles im Einklang mit dem EU AI Act.

The Hugging Face breach shows there is a gap in federal policy. The frameworks to govern autonomous AI already exist—there just needs to be the desire to apply them. The post OpenAI’s rogue AI agent shows why we need federal rules for autonomous systems appeared first on CyberScoop .

A second company is drawn into the rogue AI attack on Hugging Face, with Modal clarifying its cloud platform was used as a launchpad, not breached.

Students can save big on an Apple Music subscription. Here's how to get it.

Roboter sind für die US-Regierung ein Thema der nationalen Sicherheit. Moderne Modelle dürfen nur noch mit Ausnahmegenehmigung eingeführt werden. Von dem Bann ist auch wichtige Solarhardware betroffen.

Nach Angaben des ehemaligen Managers von Teslas Robotaxis in Houston war er f�r zu viele Fahrzeuge verantwortlich - und gef�hrlich �berarbeitet. ( Tesla , Elektroauto )

I asked my AI agent to buy a pack of Pears soap. What looked like a simple online purchase exposed surprising challenges involving pricing, login flows, OTPs, browser automation and checkout. Here's what I learned about the future of agentic commerce. The post What I learned when my AI agent tried to buy soap for me appeared first on MEDIANAMA .

Alors que la Gironde est aux prises avec un mégafeu et que la France entre dans son quatrième épisode caniculaire de l’été 2026, les associations Data for Good, Humanité et Nature et France Nature Environnement Bouches-du-Rhône déposent des recours contre l’autorisation environnementale accordée par la préfecture au projet de centres de données de Pennes-Mirabeau. Elles […]

The solution enables users to build automated workflows, integrate applications and deploy AI-powered processes on dedicated infrastructure hosted in South Africa.

Zhongji Innolight’s buy-back plan – worth as much as 8 billion yuan (US$1.2 billion) in the run-up to its offshore listing in Hong Kong – may give global investors an anchor for pricing, as the Chinese supplier of US hyperscalers seeks to pre-empt a shaky start to trading in the city. The Chinese maker of optical transceivers used in artificial intelligence (AI) data centres said it would repurchase its Shenzhen-listed shares for between 4 billion and 8 billion yuan, through its own or borrowed.

In June, the U.S. government required Anthropic to restrict access to its two newest models by foreign nationals, citing national security and cybersecurity concerns. Unable to verify users’ nationality in real time, Anthropic temporarily withdrew access to the models for all users. A few weeks later, the Chinese company Moonshot AI released its Kimi K3 model, and then published its full model weights . Together, these episodes have reignited a familiar debate: How far can governments go in requ

This article presents a defense-in-depth approach for securing Model Context Protocol (MCP) deployments in production. It outlines four architectural control layers: safe execution, management infrastructure, outbound trust, and semantic integrity, arguing that production security requires enforcement beyond the gateway at the earliest trustworthy control points. By Nik Kale

The project enables renewable energy generated during the day to be stored and discharged during periods of higher demand.

My first startup was a textbook-buyback service I founded along with several data nerd friends while at Johns Hopkins. Each week, we’d cram $10,000 of cash in a backpack (in retrospect, a terrible idea in urban Baltimore), put out a table on campus, buy textbooks from our fellow students using a pricing algorithm we built, and resell them for a profit online. Being nerds, we constantly tried to refine our algorithm. One day, we locked ourselves in a dorm room with lots of Cheetos, Mountain Dew,

As LLMs compete for doctors' attention, some developers say the science of benchmarking their AI tools for safety and accuracy is flawed.

Auch der bislang verschonte Autobauer aus M�nchen muss sparen. BMW plant den Abbau von rund 8.000 Stellen. ( BMW , Wirtschaft )

Nach VW, Mercedes, Audi und Porsche kündigt BMW einen größeren Stellenabbau an. Weltweit sollen etwa 8000 Jobs wegfallen, die meisten davon wohl in Deutschland.

Advanced technologies now account for around one in every six valid invention patents in China, according to official data. By the end of last month, valid invention patents in fields such as artificial intelligence, cloud computing and big data made up 16.5 per cent of the country’s total valid patents, the China National Intellectual Property Administration said on Wednesday. “The accelerated accumulation of patents in cutting-edge sectors is empowering and enhancing the creation of new...

The venture capital arm of Lenovo Group is doubling down on artificial intelligence for the next industrial cycle, expanding its focus beyond foundational models into robotics, computing infrastructure and AI agents, according to a senior executive. Lenovo Capital has made long-term bets on more than 100 AI companies across the value chain, ranging from chips and hardware infrastructure to models and applications, Song Chunyu, chief investment officer and senior partner at the unit, told the...

On June 22, the United States announced that it had signed a nuclear cooperation agreement with Saudi Arabia. This type of agreement broadly authorizes trade in nuclear technology, equipment, and materials, but only if the agreement and the country in question meet defined nonproliferation requirements. They are called Section 123 agreements for the section of the 1957 U.S. Atomic Energy Act that lays out the specific conditions for them. But the legal terms of Section 123 are only the minimum r

Die US-Fernmeldebeh�rde FCC verbietet die Zulassung neuer chinesischer Roboter und Wechselrichter wegen angeblicher Sicherheitsrisiken. ( FCC , Roboter )

The AI boom depends on costly infrastructure. If future profits fail to justify today's spending, the costs may extend far beyond Silicon Valley.

Mit dieser neuen Regel will die EU für mehr Transparenz im Netz sorgen. Bilder, Videos und Texte, die mithilfe von KI erstellt wurden, müssen nun gekennzeichnet werden. Das ist ab Sonntag Pflicht, mit zwei wichtigen Ausnahmen.

Govender succeeds Leslie Moodley, who announced his early retirement earlier this month.

Oregon Institution Lacks Funds to Move Away From Animal Testing Ryan Quinn Wed, 07/29/2026 - 03:00 AM The Trump administration is pushing to end animal testing, but Oregon Health and Science University said federal dollars weren’t available to turn its National Primate Research Center into a sanctuary. Byline(s) Ryan Quinn

New Loan Limit Proration Rule Raises Concern Among Financial Aid Experts jessica.blake@… Wed, 07/29/2026 - 03:00 AM The rule—which proportionally limits how much a student can borrow based on how many credit hours they take—seems simple. But aid officers say it’s quite complicated and warn that ED hasn’t released enough guidance. Byline(s) Jessica Blake

What We Know About the Government’s Investigations Into Medical Schools Johanna Alonso Wed, 07/29/2026 - 03:00 AM Initial findings from probes into medical schools’ admissions practices have left experts questioning the government’s evidence and analysis. Byline(s) Johanna Alonso

Federal Judge Rules Against In-State Tuition for Illinois Undocumented Students Sara Weissman Wed, 07/29/2026 - 03:00 AM Byline(s) Sara Weissman

Convicted Murderer of Idaho Students Backtracks on Guilty Plea kathryn.palmer… Wed, 07/29/2026 - 03:00 AM Byline(s) Kathryn Palmer

The Delhi High Court has ruled that ISPs and domain registrars cannot determine whether a website is rogue and may only technically verify mirror websites. The post Delhi HC says piracy injunctions cannot give copyright owners unilateral blocking powers appeared first on MEDIANAMA .

Companies need proactive and extended continuous threat exposure management to reduce cyber risk and cut the noise in security environments, says CyberCyte.

In this edition: Layoffs at Luno || Airtel Money Kenya appoints acting MD || Sport powers DStv comeback || Kenya drafts labour policy around AI

Lernen in einer Übungsumgebung: Sicherheitsrisiken in der Windows-Active-Directory-Infrastruktur erkennen und beheben, um die IT vor Cyberangriffen zu schützen.

Die USA stoppen die Einfuhr von Robotern und Wechselrichtern aus dem Ausland. Das Importverbot richtet sich vornehmlich gegen China.

This week’s Future of TV Briefing looks at Comcast-owned FreeWheel enabling streaming ad sellers to directly pass show-level reporting to programmatic ad buyers.

With an eye on the clock, the Gates Foundation refreshed its vision for American schools Wednesday morning, unveiling a set of five-year goals intended to ease students’ transition to college graduation and career success. By 2030, the Foundation pledges to foster higher levels of math achievement; an increase in the number of first-generation college-goers; significantly […]

Research warns Washington should be alarmed at military implications of the sector’s rapid expansion

Richemont looks better placed than LVMH if the technology creates a K-shaped economy

Kyiv is shifting its long-range drone campaign to keep plants offline for longer

Landmark project that solved protein folding gives way to a wider race to build AI systems for scientific discovery

Popular telehealth provider Hims & Hers "shared consumers’ sensitive health information with third-party advertising platforms such as Meta and Snap despite promising to protect patient privacy," the federal government alleges.

Una nueva generación de máquinas autónomas se abre paso en casa y apuntan a un mantenimiento cotidiano del hogar casi invisible

China is widening its lead over the United States in the race to develop humanoid robots, with Chinese firms accounting for six of the world’s 10 most innovative start-ups in the sector, according to a new report tracking global patent data, as Washington moves to restrict imports of robots, including those made in China. Firms from China dominated the ranking released by legal research platform LexisNexis on Tuesday, claiming a clean sweep of the top five. The top five places went to...

Elon Musk's xAI, now owned by SpaceX, is challenging a law that would ban so-called nudify apps in Minnesota

FREENOW, the European mobility platform owned by Lyft, announced on Tuesday that it has partnered with Baidu’s Apollo Go to begin testing robotaxis in London, UK. Uber also said Apollo Go vehicles are now operating on public roads in the British capital. Baidu said the deployment marks the first time a Chinese autonomous vehicle has […]

Meta chief warns against ‘regulatory capture’ of American rules on the technology

Investigators in Europe said that the cryptocurrency giant Binance had made it more difficult to track down scammers and solve other crimes.

The mogul had kickstarted an auction for his namesake company after facing an artist rebellion.

The United States has moved to block new imports of foreign-made robots and power inverters. Officials fear a hostile power could spy through them, or switch them off from afar. The order never says China. It does not need to. The Federal Communications Commission added two categories to its Covered List on Tuesday, as first […] This story continues at The Next Web

It's part of a national security strategy to kickstart domestic production of emerging technology.

The Society of Pension Professionals (SPP) has launched a practical framework to guide pension scheme trustees, advisers, and administrators through responsible AI leadership.

Automated platforms can translate messages in seconds, but as a school principal, I've learned that true belonging requires a human connection ...

Two educators grapple with the same question from opposite perspectives.

The post Investors Need Better Information About How Companies are Using AI appeared first on Partnership on AI .

GPT-5.6 improves AI efficiency across models, inference, and agentic workflows, helping deliver more useful intelligence per dollar.

Watches, bands, and rings—if you want to digitally monitor your fitness, more companies than ever are selling devices to do it. And more Americans than ever now own at least one wearable health device. But what are the companies that make fitness trackers doing to protect our sensitive data from prying eyes? A lot less than they could be, it turns out. We're explaining what companies can do to protect your health data, and more, with our EFFector newsletter . JOIN OUR NEWSLETTER For over 35 year

Years ago, we didn’t have SQL. There were people whose job was to generate software that would query large data sets. Their job title was COBOL programmer. Then SQL comes along—I’m simplifying this only a little bit—and it gives you this convenient way so people could just specify. With a very simple specification, you can generate all of that code that you had to pay the expensive COBOL programmer to do before. That didn’t mean programmers went away. It just meant the job changed a little bit.

In American antitrust, clearing the federal gate increasingly means arriving at the state turnstiles. State attorneys general play a valuable role when harms are local or federal investigators miss key facts. But serial challenges to nationally integrated conduct turn that safeguard into a standing invitation to relitigate. The result is a system in which no ... Too Many Cooks Spoil the Settlement The post Too Many Cooks Spoil the Settlement appeared first on Truth on the Market .

On 22 July 2026, the US administration announced a nuclear deal with Saudi Arabia. Under this deal, the US will provide support to the Golf country to establish a civilian nuclear programme. This is worrisome given statements by Saudi Arabia’s Crown Prince, that once Iran has nuclear weapons, Saudi Arabia would follow suit. Given the nuclear-induced tensions in the Middle East between Saudi Arabia and Iran and the scope of the agreement, this newly formed cooperation may put another nail in the

This essay was written with Barath Raghavan, and originally appeared in The Guardian . In July, Hugging Face, a company that hosts much of the world’s AI software and open-source AI models, was hacked. A malicious dataset had been used to run code on one of its servers. Whoever was behind it captured internal security credentials and moved through systems over a weekend, running thousands of actions from a swarm of temporary server environments. It looked like the work of a sophisticated crimina

As commerce vendors embed genAI assistants into their platforms, digital leaders must balance productivity gains against growing governance risks to ensure that AI-generated work remains visible, auditable, explainable, and aligned with organizational policies.

PatientAgentBench generates a synthetic patient health record, a realistic clinical vignette, and a patient agent that converses with the AI system under evaluation, to capture what a patient-facing agent actually has to do.

Poolside shipped Laguna S 2.1, an open-weights coding model trained in 60 days, then a desktop app for running agent fleets a week later.

Enterprise teams are moving agentic AI projects toward production faster than they are developing the architectural disciplines needed to build, govern, secure, and operate them. At the same time, many organizations are searching for a target-state agentic architecture that will stand the test of time. That, unfortunately, is a fool’s errand in the rapidly evolving […]

The DRC’s case against Rwanda could mark an important moment in the legal development of responsibility for proxy warfare. The post DRC Takes Rwanda to the ICJ: Proxy Warfare, Layered Obligations, and the Future of State Responsibility appeared first on Just Security .

AI is no longer a future feature in application security; it is rapidly becoming a core part of how application security (AppSec) tools identify, prioritize, and remediate risk. Yet despite aggressive vendor investment, adoption remains constrained by trust concerns, questions about value, and uncertainty about pricing models. In our new report, The State Of Artificial […]

Today's links Enshittification and Reverse Centaurs go global: The good globalism. Hey look at this: Delights to delectate. Object permanence: Fonz thumps x Linux; CBC v DRM; Aussie mall v photos; English town x CCTVs; Pay no taxes x Big Tech; Games Workshop v gamers; Delta x surveillance pricing. Upcoming appearances: Edinburgh, Sydney, Melbourne, Brighton, London, South Bend. Recent appearances: Where I've been. Latest books: You keep readin' em, I'll keep writin' 'em. Upcoming books: Like I s

In accordance with the Federal Advisory Committee Act (FACA) of 1972, the U.S. Geological Survey (USGS) is publishing this notice to announce that a Federal Advisory Committee meeting of the National Geospatial Advisory Committee (NGAC) will take place and is open to members of the public.

The Food and Drug Administration's (FDA) plans to centralize and enhance key functions across the agency. These changes will reduce redundancies, improve efficiency, and advance alignment to better serve the American public.

Artificial intelligence is changing how legal services are delivered. At Debevoise, we are using AI to help our lawyers work more efficiently while maintaining the legal judgment, rigorous governance and quality standards our clients expect. To provide greater transparency into our approach, we have launched a new AI@Debevoise page. It explains how we use AI [...]

What GAO Found In August 2025, GAO identified 14 priority recommendations for the Office of Personnel Management (OPM). Since then, OPM has implemented three of those recommendations. In July 2026, GAO removed the priority status from three recommendations, bringing the total to eight. GAO is highlighting the following three areas that warrant timely and focused attention: Preventing improper payments, Strengthening IT management, and Managing the federal workforce. Addressing GAO’s recommendati

Complaint alleges telehealth provider shared consumers’ sensitive health information with third-party advertising platforms despite promising patient privacy The Federal Trade Commission, joined by Utah and California, by and through Los Angeles County Counsel, today sued Hims & Hers alleging that the telehealth provider shared consumers’ sensitive health information about medical conditions with third-party advertising platforms despite claiming its services maintain consumers’ privacy and dece

What GAO Found As of March 31, 2025, the Department of Energy’s (DOE) Office of Environmental Management (EM) awarded 57 task orders across nine contracts since implementing the End State Contract Model (ESCM) in fiscal year 2020. The ESCM uses task orders for contractors to achieve a stated outcome, or “end state,” to move sites toward completion, manage cost and schedule performance, and reduce DOE’s environmental liability. About half (29) included defined end states and the remainder were fo

What GAO Found Many countries are undertaking efforts to manage, treat, and dispose of nuclear waste. Several have taken actions that accelerated cleanup, reduced risks, and resulted in cost savings—lessons that could inform the U.S. Department of Energy’s Office of Environmental Management (EM) efforts. For example: The United Kingdom (UK) saved a total of at least £2 billion (equivalent to $2.6 billion as of March 2026) by implementing a risk-informed approach to managing its nuclear waste. Th

Japan’s draft “Principle Code” on intellectual property protection and transparency for generative AI (see our earlier post for a summary of the code) has attracted significant attention, with more than 2,000 consultation responses received from businesses, industry groups and rights holders. The responses suggest that transparency will play a central role in Japan’s approach to [...] The post Japan’s “Principle Code” for Generative AI (Part 2): What the Public Consultations Reveal appeared firs

CT vision-language foundation models have demonstrated promising performance across downstream tasks, but are typically trained with whole-volume representations that dilute fine-grained anatomical signals. Fine-grained vision-language pre-training addresses this by aligning anatomy-level visual features with anatomy-specific text, but in doing so discards the global context that whole-volume models provide. Furthermore, existing fine-grained approaches train from scratch, making them computatio

There is growing interest in using large language models (LLMs) as low-cost proxies for resident attitudes in urban planning. Previous work shows that LLMs can predict average results of survey experiments, but less is known about whether they preserve the spatially anchored, identity-conditioned structure behind those averages, namely how support changes as a project approaches homes and how that response divides across tenure and partisan groups. We compared eight open-weight LLMs with 843 res

Scientific images are the core elements of presenting experimental conclusions, elaborating system architecture, and supporting comparative arguments in scientific papers. However, existing image quality assessment (IQA) methods are predominantly designed for natural photographs or AI-generated content, which cannot be directly applied to scientific papers. The few existing studies on scholarly charts remain confined to visual-surface comparisons, failing to verify caption alignment, citation re

As LLM agents increasingly depend on diverse external services such as search engines, databases, and connectors, agent harnesses face a fundamental tool-selection challenge: acquiring too few tools leaves the task under-informed, while too many adds cost, context load, and privacy exposure. Routers and retrievers can rank candidate tools by relevance, but a ranking alone does not determine how many are worth selecting. Existing approaches leave acquisition under heterogeneous costs unaddressed.

Fine-tuning is the dominant paradigm for specializing large language models (LLMs), yet it exposes a critical vulnerability: malicious data providers can embed harmful behaviors into downstream corpora, creating models that retain professional skills while violating human values on demand. Existing safety-realignment defenses often fail in practice due to three key limitations: they frequently cause catastrophic forgetting of specialized skills; their effectiveness collapses when the defender ca

Closed yes/no spatial benchmarks can reward a correct answer even when the image adds little support beyond no-image contexts. Under a fixed forced-choice interface, Visual Credit Audit (VCA) separates two estimands: whether the benchmark image gives the model's declared decision more support than text-only and blank controls, and whether the model responds to relation-specific visual evidence. The first audit is training- and label-free and does not require an answer flip. Applying labels yield

Scientific figure assessment in peer review differs fundamentally from general image quality evaluation: a figure must be visually legible, faithfully support the manuscript's claims, and communicate evidence with a clear visual hierarchy. However, if we apply traditional image assessment methods to scientific figure quality assessment, limitations emerge: classic IQA models capture perceptual quality or aesthetics but cannot judge whether a figure serves the paper's scientific argument; CLIP-ba

This paper reports findings from a structured participatory foresight study comprising two expert forecasting studios convened by The GovLab between 2025 and 2026. The studios brought together nineteen senior practitioners spanning official statistics, digital and trade policy, open science, AI governance, geospatial systems, and public-sector innovation across multiple jurisdictions. Applying a qualitative signal-scanning methodology grounded in the horizon-scanning and anticipatory-governance

Multimodal Large Language Models (MLLMs) rely on a projector to align visual representations with the language embedding space, making it central to cross-modal understanding. In Multimodal Continual Instruction Tuning (MCIT), however, shifting visual distributions and evolving instruction semantics cause this shared projector to drift, leading to projector-level forgetting, an issue largely overlooked by methods that focus primarily on the LLM backbone. We introduce Progressive Multimodal Align

Federated Learning (FL) is vulnerable to backdoor attacks because of its distributed nature in edge computing scenarios. Existing defense methods show limited efficacy as they overlook the deviations among benign local updates caused by statistical heterogeneity and the stealthiness of backdoor attacks. To tackle these issues, we propose FedDAB, a two-phase method that combines local contrastive regularization with alignment checking, to defend against backdoor attacks. In the first phase, FedDA

Federated learning (FL) enables collaborative learning over decentralized data silos without centralizing raw data. However, heterogeneous local architectures often induce non-aligned representation spaces, making it difficult to transfer global knowledge across silos. Existing paradigms share this knowledge as model parameters, distilled predictions, or class prototypes, yet all encode it in an absolute space that must be aligned across clients. Heterogeneous backbones break this alignment, so

Many kinds of data have structure along one or more axes: words in a sentence, pixels in an image, nodes in a tree, frames in audio, or cells in a 3D volume. Along one axis, order matters: "the dog bit the man" is different from "the man bit the dog." Across independent axes, however, neither composition nor movement should depend on the order of axes: in an image, composing right then down should give the same result as composing down then right, and moving right then down should describe the s

Zero-shot text-to-speech (TTS) clones a voice from a short audio prompt, but this reliance on reference audio is a barrier when only visual information is available, e.g. for historical figures or video-game characters. In this work, we propose a Face-to-Speech (F2S) framework that predicts a plausible voice from a static facial image. A lightweight Face Adapter, together with soft-tuning of the face encoder's upper blocks, aligns face-recognition features with the style space of a frozen StyleT

Prompt inversion, as a typical reverse engineering technique, enables text-to-image (T2I) diffusion models to generate the desired target images without extensive prompt engineering. However, existing prompt inversion methods suffer from significant limitations: (1) gradient-based methods are unstable and uninterpretable, often resulting in generated images with severe artifacts; (2) gradient-free methods yield human-readable prompts but still fail to preserve visual fidelity due to the lack of

Cover song generation (CSG) should preserve the melodic and linguistic content of a reference song while recreating the remaining musical components. The state-of-the-art model SongEcho utilizes $F_0$ sequences and voiced/unvoiced (V/UV) tags for conditioning; however, implicit linguistic information from V/UV tags cannot guarantee lyric accuracy, leading to a high phoneme error rate (PER). Inspired by singing voice synthesis (SVS), we propose MPEcho, which integrates a phoneme encoder and a len

Ascend C operator optimization is critical for NPU (Neural Processing Unit) inference performance but requires deep hardware expertise.While large language models (LLMs) have shown promise in automated CUDA kernel generation, the fundamentally different programming model of Ascend C introduces unique challenges that remain unexplored. In this paper, we propose AgenticCANN, a knowledge-augmented agentic evolution framework specifically tailored for automated Ascend C operator synthesis in low-cor

Post-training alignment is often shallow, eroding under fine-tuning. Whether midtraining interventions, cleanly isolated from post-training, can produce durable alignment remains untested. We test this via constitutional midtraining: inserting principled, values-based content into midtraining against a replay-only control at 120B scale. Our 394M-token constitutional corpus, built from Anthropic's Constitution, uses a 2x2 factorial design (curriculum ordering x deliberative reasoning) to produce

Enabling large language model (LLM) agents to accumulate and reuse experience from past interactions remains a central challenge in real-world applications. A promising solution is to treat skills as trainable states and optimize them in the same way as model parameters in neural network training. However, data-driven skill optimization is prone to overfitting to the limited trajectories collected from real environments. Overexploiting these trajectories overfits the current batch, while unconst

Identity document (ID) authentication relies on the structural integrity of complex, high-frequency security patterns. However, advanced Generative AI models can now inject localized, high-fidelity manipulations, creating deceptive attacks that bypass standard verification. Training robust image forensic models to detect these anomalies is hindered by privacy regulations, forcing reliance on synthetic templates lacking the intricate visual patterns of real IDs. To bridge this domain gap, we intr

Large language models (LLMs) have demonstrated strong reasoning capabilities, motivating their adoption as backbones for foundation recommendation models (FRMs). Existing approaches typically enhance recommendation with explicit Chain-of-Thought (CoT) under the Think-then-Answer paradigm. However, generating lengthy rationales introduces substantial inference overhead, while fixed CoT templates struggle to model diverse, dynamic, and context-dependent user interests. We propose WhisperRec, an ef

AI-assisted coding increasingly translates informal user intent into executable software, yet coding requests often contain ambiguities that recur in user-specific ways across tasks and sessions. Existing disambiguation methods typically address each ambiguous request in isolation within the current coding session, often through eliciting additional clarification. However, whether resolved session history from the same user can serve as memory for resolving recurring personalized ambiguity in a

The rapid development of large language models (LLMs) has renewed interest in agent-based modeling (ABM). However, current LLM-based ABM research faces several key challenges: modeling evolving agent-environment interactions, enabling flexible counterfactual reasoning, and automating simulation workflows for scientific research. In this paper, we propose Eco3S, a socio-economic system simulation framework for economic research and policy analysis that addresses these challenges through three key

Text-to-image (T2I) workflows are increasingly deployed on serverless platforms because users often compose customized workflows and invoke them intermittently. Existing platforms typically deploy each workflow as an opaque GPU function, provisioning, placing, and scaling all constituent models in the workflow together. This monolithic design obscures workflow structure, inflates scaling overhead, forces users to manage low-level GPU coordination, and limits fine-grained fairness in multi-tenant

World models must learn the joint dynamics of states, actions, events, and observations, yet existing video, robotics, and simulation datasets usually capture only part of this structure. We introduce CG-World, a large-scale world-state dataset and protocol derived from industrial computer graphics production pipelines. CG-World explicitly records intermediate states, including multimodal semantics, spatial structure, skeletal and controller states, motion curves, camera and lighting parameters,

Human-computer interaction (HCI) is undergoing a paradigm shift from "tool use" toward "partnership" and even "mind symbiosis," with psychology evolving from a supplementary explanatory tool to a core pillar shaping interaction paradigms and long-term relationships. This paper systematically reviews relevant research and proposes a four-layer integrative framework comprising the Micro-cognitive, Meso-affective, Macro-social, and Self-constructive layers. The framework reveals that: the cognitive

Wi-Fi-based human activity recognition has advanced substantially, but most existing methods assume a closed set of activities and require labeled Wi-Fi samples for every target class, limiting their ability to recognize unseen activities. We present Zero-Fi, a contrastive signal-language alignment framework for zero-shot Wi-Fi-based human activity recognition. Zero-Fi learns unified representations from complementary Wi-Fi signal features and aligns them with the semantic representations of nat

Background: As digital technologies become increasingly embedded in daily life, their roles in mental health care have expanded and diversified. Digital tools are being explored as interventions for obsessive-compulsive disorder (OCD) across the care continuum, including symptom recognition, access to care, treatment, and self-management. However, there is limited empirical understanding of how individuals living with OCD use digital technologies in situ to navigate their health care journeys or

When 54 international experts assessed AI-generated disinformation threats, they revealed a surprising pattern: while video deepfakes received the highest average threat ratings in the political domain (M = 6.31/7), the pattern differed in the health domain, where AI-generated text received the highest average rating (M = 5.80). The post Experts disagree on how to fight AI disinformation, but agree that health and politics need different solutions first appeared on HKS Misinformation Review .

Background: Hypospadias is a common congenital malformation requiring surgery. Caregivers face substantial perioperative information needs, and large language models (LLMs) offer a potential health education channel, but their performance in pediatric urology and the relation between citation accuracy and clinical content safety lack systematic evaluation. Objective: This study aimed to evaluate 5 LLMs (ChatGPT-4o, Gemini-2.5-Pro, OpenEvidence, Zhipu Qingyan, and DeepSeek) for pediatric hypospad

Background: Understanding how sentiment toward COVID-19 mitigation measures evolves on social networks can help to inform infectious disease models and policymakers. Even though numerous studies have described social media interactions during the pandemic, few have modeled the underlying dynamics of sentiment contagion and polarization. Objective: This study aimed to investigate topic emergence and sentiment evolution in COVID-19 mitigation discussions on r/Belgium, focusing on (1) whether discu

Background: Identifying traits of narcissistic personality disorder (NPD) is clinically challenging, yet early detection can significantly improve outcomes. Online forums have become a major source of self-expression, offering new opportunities to understand mental health. However, analyzing this complex language requires new tools. Objective: This study aims to determine whether a machine learning model could be trained to reliably detect language patterns associated with NPD traits in Reddit p

Background: Frailty is prevalent and dynamic in older people living with HIV and is associated with adverse outcomes. Lifestyle support is recommended but difficult to deliver at scale. Digital self-access education may help, although evidence in older, multimorbid populations is limited. Objective: This study aims to evaluate 6-month changes in frailty phenotype and related outcomes after a QR code–enabled self-access lifestyle education program on Mediterranean diet and exercise routines for p

Background: Digital multidomain interventions hold promise for dementia risk reduction; however, populations at higher dementia risk, including those experiencing socioeconomic and educational disadvantage, remain underrepresented in trials, and engagement with digital interventions often declines over time. Coproduction and blended models that combine digital tools with human support may improve reach, acceptability, usability, and sustained engagement. Designing interventions that are usable a

Human Activity Recognition (HAR) from wearable sensors supports applications in healthcare, rehabilitation, fitness tracking, and smart environments. Yet, existing deep learning approaches require dataset-specific training, large labeled corpora, and repeated adaptation to new sensor settings or activity taxonomies. Retrieval-Augmented Generation for Human Activity Recognition (RAG-HAR) addresses this by framing HAR as a training-free, retrieval-augmented task, in which statistical descriptions

Publication date: September 2026 Source: Technology in Society, Volume 88 Author(s): Paloma Almodóvar, Alberto Ferraris

Publication date: September 2026 Source: Technology in Society, Volume 88 Author(s): Femi Olan, Konstantina Spanaki, Uchitha Jayawickrama

Publication date: Available online 27 July 2026 Source: Computers and Education: Artificial Intelligence Author(s): Bernard Yaw Sekyi Acquah, Iddrisu Salifu, Francis Arthur, Mark Inkoom, Sheriff Dagimah Suradji, Christian Inkoom, Emmanuel Quayson, Silas Afutu Quaye, Francis Obeng Gyedu, Sharon Abam Nortey

Publication date: Available online 27 July 2026 Source: Computers and Education: Artificial Intelligence Author(s): Richard Chung Yiu Yeung, Chi Ho Yeung, Daner Sun, Therese Keane, Yuqin Yang

Publication date: October 2026 Source: Research Policy, Volume 55, Issue 8 Author(s): Matthias Tröbinger, Anil R. Doshi, Sen Chai

arXiv:2607.25105v1 Announce Type: new Abstract: Social choice theory research demonstrates that single transferable voting (STV) results in more proportionally representative legislative bodies. We aim to understand how using multi-member districts and ranked ballots with STV would affect the representation of political parties in the Colorado House of Representatives. We investigated this objective by producing 10,000 multi-member districting plans of Colorado, generating ranked ballots for eac

arXiv:2607.25301v1 Announce Type: new Abstract: Resting heart rate is an established marker of cardiovascular risk, but population-scale measurement has depended on clinical or survey instruments. We ask whether passively sensed consumer-wearable physiology recovers the socioeconomic gradient established in clinical cohorts. Using 19.1 million quality-filtered photoplethysmography readings from 18,734 opt-in users of the Welltory app, we computed cohort-adjusted mean daytime resting heart rate p

arXiv:2607.25526v1 Announce Type: new Abstract: How should researchers measure the geopolitical preferences expressed by large language models (LLMs)? Existing audits commonly rely on surveys and simple tests, but international-relations research has long recognized that measuring geopolitical preferences is difficult and has developed methods for recovering them from observed choices. This paper applies a dynamic ordinal ideal-point approach from international relations, treating LLMs as respon

arXiv:2607.25648v1 Announce Type: new Abstract: Public services face growing pressure to adopt artificial intelligence (AI) to close the gap between rising demand and falling resources. That pressure has intensified with general-purpose AI (GPAI): AI built on large language models that can be directed by prompt alone to perform an effectively unbounded range of tasks. We argue that the properties that make these models attractive - their generality, accessibility, and low deployment cost - under

arXiv:2607.24755v1 Announce Type: cross Abstract: This full research paper examines how different forms of learner-AI interaction relate to learning outcomes in object-oriented programming (OOP) courses. Generative artificial intelligence (GenAI) tools are increasingly used by students in programming education, yet evidence on their educational impact remains mixed. In particular, little is known about how students integrate GenAI tools when learning OOP, and how different patterns of use relate

arXiv:2607.24757v1 Announce Type: cross Abstract: This paper reports on the rapid development and classroom deployment of a Thonny log visualizer built using AI-assisted ``vibe coding'' to make students' programming processes easily visible to teachers. We developed a web application that analyzes log files generated by Thonny (an IDE for Python) and produces interpretable views of students' programming processes. Teachers can upload a log, a ZIP archive, or a folder containing logs for a group

arXiv:2607.24759v1 Announce Type: cross Abstract: Research projects, educational efforts, and adjacent knowledge work accumulate findings, decisions, and reasoning that future collaborators rarely recover. The parts most useful to that work, including dead ends and walked-back claims, are routinely excluded from publications and shared code; future researchers re-attempt the same failures because no record survives. LLM coding agents are common participants but hold no persistent memory across s

arXiv:2607.24768v1 Announce Type: cross Abstract: Prenatal care is an important preventive service designed to improve outcomes for pregnant individuals. The American College of Obstetricians and Gynecologists (ACOG) recently introduced guidelines advocating tailored prenatal care, called PATH (Plan for Tailored Healthcare). We present PATHFinder Agent(Planner for Appropriate Tailored Healthcare), an end-to-end conversational agentic system that gathers patient health and social context through

arXiv:2607.24775v1 Announce Type: cross Abstract: Artificial intelligence (AI) chatbots are increasingly deployed in domains where empathy is essential, including healthcare, education, and customer service. However, their capacity to sustain authentic human moments remains structurally limited. This paper introduces two interlinked conceptual models to explain and address this limitation. First, the Human-Moment Gap Framework (HMGF) identifies three structural empathy deficits in AI-mediated in

arXiv:2607.25010v1 Announce Type: cross Abstract: AI-assisted production has sharply reduced the cost and team size required to ship a video game, producing a supply shock on open marketplaces. Recent estimates put Steam release volume at roughly sixty new titles per day, with median per-title revenue for a large share of releases falling below the platform's own submission fee [1]. This paper asks whether the resulting oversupply constitutes an emerging market crash or a structural correction,

arXiv:2607.25057v1 Announce Type: cross Abstract: As conversational AI systems become increasingly integrated into daily life, their potential effects on user well-being require ongoing attention. While consumer-facing generalist models can provide benefits, including improved access to information, learning, productivity, self-reflection, and companionship, they also introduce risks, such as emotional entanglement, unhealthy dependence, and the amplification of psychological vulnerabilities. Dr

arXiv:2607.25425v1 Announce Type: cross Abstract: Capture the Flag (CTF) competitions are among cybersecurity's most effective training grounds, developing practical skill across cryptography, web exploitation, and binary exploitation. Large language models (LLMs) can now solve a growing share of challenges with minimal human input, raising urgent questions about fairness, the validity of rankings, and whether participation still delivers the learning that justifies the effort. This paper report

arXiv:2607.25750v1 Announce Type: cross Abstract: Low-rank adaptation (LoRA) fine-tuning has made it cheap and easy to customize open-weight image generation models for specific tasks, including the production of child sexual abuse material (CSAM). Existing moderation relies on metadata or generated outputs, but metadata can be deceptive and generating outputs may itself be unacceptable or illegal. We show that a safer signal lives in the weights. The top-left singular vectors of a LoRA's update

arXiv:2607.25974v1 Announce Type: cross Abstract: Observed standardized test scores are the result of an endogenous process: students strategically allocate effort across multiple retake attempts to improve their outcomes. Because students differ in their ability to make these investments, the interaction between applicant strategy and institutional scoring rules---such as the widely used Single-Sitting and Superscoring policies---can disparately distort observed scores. We develop a strategic f

arXiv:2507.11548v3 Announce Type: replace Abstract: The use of publicly available generative AI systems for resume evaluation is often justified by the assumption that these tools reduce bias relative to human judgment. However, this framing leaves a prior question unresolved: whether these systems are capable of performing the evaluative task at all. This study presents a two-part audit of eight widely used AI platforms used for resume screening. Drawing on the concept of the Illusion of Neutra

arXiv:2602.08554v2 Announce Type: replace Abstract: This workshop paper examines challenges in designing agentic AI systems from a citizen-centric perspective. Drawing on three participatory workshops conducted in 2025 with members of the general public and cross-sector stakeholders, we explore how societal values and expectations shape visions of future AI agents. Using constructive design research methods, participants engaged in storytelling and lo-fi prototyping to reflect on potential commu

arXiv:2604.03881v2 Announce Type: replace Abstract: Encouraging pro-environmental behavior remains a major challenge for sustainable cities. Conventional feedback nudges can show individuals how their current behavior compares with environmental goals but often provide limited guidance on what to do differently in daily life. This study examines whether supplementing weekly feedback on participants' behavior with LLM-generated personalized action suggestions improves pro-environmental behavior,

arXiv:2606.30860v2 Announce Type: replace Abstract: As large language models (LLMs) become common in computing courses, we need to understand how the social setting shapes how students use them. This paper reports findings from a semester-long study of 96 undergraduate students who completed six assignments, alternating between individual homework and team project milestones. We tracked LLM usage, prompting habits, and how students verified AI-generated output across all six assignments. LLM usa

arXiv:2607.21534v2 Announce Type: replace Abstract: The spread of generative AI (GenAI) in higher education has raised concerns that students offload cognitive effort to AI, earning high grades without learning. If this "GenAI substitution hypothesis" is true, grades should rise disproportionately in GenAI-susceptible courses--those relying more on assessments like take-home problem sets and essays rather than in-class exams. Substitution could also affect student satisfaction, measured here as

arXiv:2311.18424v3 Announce Type: replace-cross Abstract: Developing artificial intelligence (AI) algorithms for healthcare is a collaborative effort, bringing data scientists, clinicians, patients and other stakeholders together. By understanding AI as 'sociotechnical' where the social and the technical nature of the work and the models are inseparable, we explore the AI development workflow and how stakeholders navigate the challenges and tensions of sharing and generating knowledge across dis

arXiv:2508.03037v5 Announce Type: replace-cross Abstract: Artists occupy a paradoxical position in generative AI. Their own work trains models that now compete with them, replicate their styles, and reshape the creative economy they inhabit. Yet whether artist concerns achieve proportional representation in the public discourse that shapes AI governance remains an open empirical question. We mapped the semantic landscape of public AI-art discourse from 2013 to 2025, drawing on 1,736 text chunks

arXiv:2508.05775v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have revolutionized content creation across digital platforms, offering unprecedented capabilities in natural language generation and understanding. Meanwhile, they pose risks by inadvertently producing toxic, offensive, or biased content. This dual role of LLMs, both as powerful tools for text generation and as potential sources of harmful language, presents a pressing sociotechnical challenge. In this survey

arXiv:2601.14429v2 Announce Type: replace-cross Abstract: Open science initiatives have strengthened scientific integrity and accelerated research progress across many fields, but the state of their practice within transportation research remains under-investigated. Key features of open science, defined here as data and code availability, are difficult to extract due to the inherent complexity of the field. Previous work has either been limited to small-scale studies due to the labor-intensive n

Reliable fault detection in multi-robot systems requires models capable of capturing complex, time-dependent fault signatures that manifest over extended temporal horizons rather than instantaneous observations alone. Existing data-driven approaches operate reactively on behavioural snapshots, failing to capture fault modes whose discriminative signature depends on temporally ordered precursors. This work formalises a theoretical impossibility result demonstrating that memoryless classifiers are

Hollanek and Nowaczyk-Basińska (2024) analyse the harms of AI-enabled re-creation services and offer four recommendations to providers. I accept their diagnosis but argue that their prescription shares a premise with the industry it seeks to reform: that a responsible provider remains present to carry it out. All four recommendations (retirement procedures, meaningful transparency, adult-only access, and mutual consent) are addressed to a continuing operator. Yet the paper’s own opening example,

The rise of virtual worlds, collectively known as the Metaverse, compels a re-examination of longstanding debates concerning personal freedom, moral responsibility, and legal accountability. These immersive digital environments differ from prior communication technologies not merely in degree but in the phenomenological quality they produce: a pervasive sense of presence that blurs the boundary between the virtual and the physical. This article examines the ethical and legal challenges that aris

Adverse drug reactions (ADRs) are caused by medication and are considered a serious issue in healthcare when there is simultaneous use of different medications resulting in drug-drug interaction (DDI). Traditional approaches mostly focus on the effects caused by a single drug, and they fail to capture the side effects from drug combinations. In this research work, a deep learning-based DrugPred framework is proposed to predict ADR risks by integrating individual drug effects, interaction statist

Agriculture is increasingly characterized by a data paradox, while the sector generates massive volumes of genomic, climatic, remote sensing, and field data. Translating this information into actionable, farm-level insights remains a critical bottleneck. Traditional advisory mechanisms cannot operate at the spatial scales or provide the context-specificity needed for climate adaptation and food security. The work presents GenAI as a transformative interface that makes advanced agricultural scien

Healthcare systems are rapidly embedding adaptive and generative AI into core clinical processes. The integration of Artificial Intelligence into Clinical Decision Support Systems (AI-CDSS) highlights a fundamental transformation within healthcare delivery. This transformation enables advanced predictive analytics, multimodal data integration, and real-time augmentation of clinical decisions. However, AI introduces systemic, ethical, operational, and governance risks that challenge traditional h

IntroductionIn recent years, high-dimensional clinical and genomic data have gained significant importance for prognosis and personalized medicine in breast cancer. But the use of quantum machine learning (QML) on such data is limited by the availability of few qubits, the computation time of quantum simulation, and dimensionality reduction. This work systematically compares several QML architectures for breast cancer classification in the presence of realistic and simulator constraints.MethodsT

The Internet of Vehicles (IoV) supports essential intelligent transportation applications but encounters challenges in federated learning (FL) due to non-independent and identically distributed (non-IID) data, vehicle mobility, resource heterogeneity, and strict privacy requirements in latency-sensitive scenarios such as misbehavior detection and accident response. Traditional FL methods, such as random client selection and standard FedAvg, often experience slow convergence and reduced performan

IntroductionArtificial intelligence (AI)-powered chatbots are increasingly used in healthcare for applications ranging from symptom triage to lifestyle guidance. Their effectiveness depends not only on their ability to provide reliable information but also on users engaging with their advice while remaining aware of potential inaccuracies. This study investigated how users perceive AI-generated medical advice, with a particular focus on the roles of accuracy, conversational tone, and disclaimers

Recent advances in Large Language Models (LLMs), driven by transformer architectures such as Generative Pre-Trained Transformer (GPT), are opening new frontiers in healthcare Artificial Intelligence (AI) by enabling clinically relevant interactions between patients and clinicians. Yet persistent challenges—including limited real-time knowledge access, safety concerns and insufficient patient-centered contextualization—indicate that current systems often fall short in delivering efficient and rel

Forecasts of explosive AI progress hinge on AI agents automating AI research. But evidence on whether agents can carry out open-ended AI research is thin. Current evaluations either test agents on narrow, verifiable tasks, which excludes open-ended research, or submit AI-generated papers to blind peer review, which is overstretched, stochastic, and suffers from poor review quality. We introduce a third way to measure progress towards AI R\&D automation. An agent takes on the central, open-ended

Conversational AI is increasingly positioned as a teammate rather than a tool, yet we know little about how its presence reshapes communication among the humans on the team. We examined sociocognitive communication dynamics in team decision-making using Group Communication Analysis (GCA), team surveys, and lexical analyses of team discourse. Teams completed a high-stakes moral-dilemma decision task in a randomized controlled study: 16 teams of two students plus an AI teammate, and 17 all-human t

Effective collaboration with novel and diverse partners is a crucial skill for autonomous agents. Most current ad-hoc teamwork (AHT) approaches assume that agents will collaborate on a single, fixed task and that the partner's capabilities, their ability to successfully execute the desired action, are already known. In reality, a partner's true capabilities are often hidden, and human collaborators may act sub-optimally on tasks with multiple valid strategies. To address these limitations, we ex

Large language model (LLM) agents are increasingly expected to assist users in completing tasks. However, existing benchmarks provide limited support for evaluating whether agents can carry out office-suite workflows at a reasonable cost. We introduce OmegaUse-OfficeVal, a benchmark for evaluating LLM agents on long-horizon office-suite tasks with task-level economic grounding. The benchmark comprises 100 tasks derived from office-suite requests proposed by practitioners and adapted through a pr

High-stakes decision systems in credit scoring, fraud detection, healthcare, and industrial safety require reliable uncertainty quantification under severe class imbalance and asymmetric error costs. Standard marginal conformal prediction (CP) provides valid overall coverage guarantees; however, we show that it severely under-covers rare, costly minority classes, with minority-class coverage dropping to as low as 0.5% on certain datasets. To characterize and address this limitation, we conduct a

Vision-language-action (VLA) models remain constrained by scarce action-labeled robot data, whereas action-free videos offer abundant observations of physical change. Latent action models can extract such priors, but reconstruction-trained codes may predict future observations without the structure required for joint generation with robot actions. Existing structured methods add temporal constraints but retain deterministic transition points, so residual errors in locally inferred transitions ma

Ontology matching (OM) has traditionally been formulated as either equivalence discovery or subsumption matching. The existing OM systems identify only one type of semantic correspondence and cannot simultaneously discover equivalence and subsumption mappings. In this paper, we introduce Hybrid Ontology Matching (HOM), a new OM task that unifies equivalence and subsumption discovery, and accordingly propose a Large Language Model (LLM)-based multi-agent OM framework AgentMap that is implemented

With the development of audio large language models (AudioLLMs), audio captioning needs to move from brief descriptions toward open-ended and fine-grained free-form descriptions. Existing evaluations often focus on generation quality or task performance, making it difficult to diagnose information coverage and description reliability. We propose MMAC, a \textbf{M}assive \textbf{M}ulti-dimensional benchmark for \textbf{A}udio \textbf{C}aptioning. MMAC contains 5,638 audio clips from more than 20

Memory systems allow agents to retain and reuse information from past interactions, but they can also let malicious content persist. A malicious instruction crafted by an attacker may be stored in long-term memory, recalled much later, and quietly shape a real action. Recent benchmarks increasingly examine agent memory security, yet few trace the same malicious semantics across persistence, downstream consequences, and selective repair under diverse memory-backend comparisons. To address this ga

We study online convex optimization (OCO) in non-stationary environments under heavy-tailed noise, where the stochastic gradient oracle admits only a finite $p$-th central moment for some $p \in (1, 2]$. While static regret is well-understood, achieving universal dynamic regret in a parameter-free manner remains an open challenge. We resolve this by proposing \textbf{HT-PAder}, a parameter-free algorithm combining restarted AdaGrad experts over a geometric pool of block lengths with a pathwise m

Personalized agents are increasingly applied to assist users across a wide range of tasks. Effective personalized assistance requires not only retrieving explicit facts from past interactions stored in agent memory, but also inferring abstract personal characteristics. However, existing memory benchmarks primarily evaluate whether an agent can retrieve information explicitly stated in conversational histories, failing to provide an effective assessment of deeper user understanding. In this work,

Knowledge distillation (KD) enables a compact student model to learn from a powerful teacher and has become an effective paradigm for model compression. The emergence of diverse model architectures has extended KD from homogeneous to heterogeneous settings. However, differences in architectural inductive biases between the teacher and student models often result in substantial representation discrepancies, limiting the effectiveness of direct knowledge transfer. Recently, redundancy suppression

Deep reinforcement policy learning directly in physical robots (on-robot learning) remains bottlenecked by slow wall-clock training times. We present SymmGrid, a trajectory level augmentation framework inspired by parallelized symmetries that super-scales group transformations to significantly accelerate on-robot learning in both egocentric and exocentric visual setups. We model a Markov Decision Process (MDP) under a symmetry tree, in which state-action pairs have admissible parallelized invari

Recent advancements in Computer Go, driven by AlphaZero and MuZero, rely heavily on Monte Carlo Tree Search (MCTS) to correct the errors of the neural network policy. While effective on massive computational clusters, this dependence creates a critical bottleneck on consumer-grade hardware, where the computational cost of tree management severely limits inference rates. Furthermore, without deep search, these models suffer from hallucination, proposing moves with high confidence that are strateg

Bot detectors deployed at scale treat traffic as binary: human or bot. This assumption breaks when AI agents browse the web through browser automation, a traffic class that is neither and that binary classifiers structurally cannot represent. We present a three-class detection framework distinguishing humans, bots, and AI agents, and show that the binary-vs-agent confusion is architectural: a binary human-vs-bot detector misroutes agent sessions because its label space lacks an agent class. On o

Biomedical laboratory robots must navigate to instruments before performing experimental procedures. Existing embodied navigation platforms are designed for household environments and treat a target as an object center or an arbitrary nearby position. This representation is inadequate for laboratory instruments, which must be approached from their operating side while maintaining safe clearance from surrounding equipment. We introduce BioVLN, a simulation platform for developing and evaluating v

The key bottleneck in embodied AI is not model architecture but data. Although billions of human manipulation videos exist online, robots cannot directly learn from them due to the embodiment gap between human morphology and robot hardware. We introduce Pegasus, a low-resource framework that bridges this gap by translating human demonstrations into robot-learnable data through structured knowledge transfer. Instead of relying on raw video prompts, Pegasus constructs a graph-based intermediate re

When asked to describe a medical image that was never attached, frontier vision-language models do not abstain: they confabulate a diagnosis. We show that this confabulation is not random. It is structured by who the patient is said to be. Across chest X-ray, brain MRI, and dermatology, Claude Opus-4.7, GPT-5.4, and Gemini-3.1-Pro are each queried with only a demographic descriptor and no image, and changing the descriptor systematically shifts the diagnosis returned. Claude concentrates sharply

LLM agents following the ReAct paradigm are promising enablers of complex multi-step tasks, including multi-hop question answering, code generation, and control of physical AI systems. Yet, when deployed at the edge, they must tightly manage their reasoning budget while remaining reliable and deferring to a cloud-side model only when local uncertainty is too high to act safely. We propose Think Short, Defer Smart (TSDS), a framework that synergistically integrates a lightweight convergence probe

Group Relative Policy Optimization (GRPO) has become a standard reinforcement learning method for post-training language models. Recent work shows that GRPO can reduce the base model's reasoning capacity and underperform it in Pass@k when k is large, indicating reduced coverage of reasoning paths. We find that this reduction is associated with GRPO concentrating on responses that the base model already generates with high probability. We trace this concentration to two mechanisms in the GRPO upd

Open source communities have been flooded with AI-generated contributions. In defense, they have written contribution rules to regulate coding agents' behavior, spanning from a total ban, mandatory disclosure, to verification gates and human sign-offs. Yet, whether coding agents read and follow those rules, and behave in open source repositories, remains unknown. To estimate real-world rule compliance of coding agents, we curate 106 issues from 49 repositories containing AI contribution rules in

Large Language Model (LLM) agents are increasingly adopted in real-world security operations with access to host artifacts and command-line interfaces (CLIs), making it critical to thoroughly assess their security capabilities. However, existing cybersecurity benchmarks focus on pre-compromise settings where agents are placed in a clean and idealized environment before an attack occurs. This leaves the post-compromise setting underexplored. To address this gap, we introduce SecRespond, the first

Large language model agents often encounter related yet distinct tasks that share reusable solution patterns. Yet standard agentic reinforcement learning treats tasks as independent episodes, while existing approaches to skill learning either focus on repeated attempts of one task or use pipelines with multiple stages that entangle extraction, retrieval, and execution. We introduce SkillRise, a unified reinforcement learning framework for learning skills across tasks. SkillRise organizes related

Latent communication in large language model (LLM)-based multi-agent systems (MAS) transmits continuous internal representations instead of text, but greater representational capacity does not establish that the receiver uses task-relevant information. End-task performance alone also cannot reveal whether an observed effect depends on message presence, content generated for the evaluated example, or information supplied by a separate agent. We introduce a causal audit that applies controlled mes

Multimodal large language models increasingly use sketches, annotations, tools, and intermediate images during reasoning, but it remains unclear whether they truly rely on these visual states. Existing benchmarks are limited both by task collections with narrow coverage or partially text-solvable samples and by evaluations that emphasize final answers without diagnosing how intermediate visual states are generated, rendered, and used. We introduce See2Think, a unified evaluation framework compri

Current human evaluation of machine translation typically assesses single outputs in isolation, a paradigm that suffers from high annotator noise and cost. We introduce Contrastive Error Span Annotation (cESA), a protocol that presents multiple translations of the source input (text, video, audio, image). In cESA, the annotator sees multiple translations of the same document, marks major and minor error spans, and then assigns a score from 0% to 100% on absolute scale. By allowing annotators to

Safety classifiers ("guards") are the dominant black-box defense for vision-language models, yet they judge an input's surface form, not its meaning: a harmful request re-encoded as set theory, formal logic, a rare language, code, or an image of text slips past a guard that would block it in plain language -- the decode gap. The natural fix is a guard-agnostic recover-and-decode amplifier that transcribes image content and restates encoded text into its plain payload before the guard, so any off

Audio-capable foundation models enable end-to-end spoken interaction, but they also introduce safety risks beyond transcript content. It remains unclear how much jailbreak capability can arise from matched-text variation in speech delivery rather than from lexical rewriting or broader style transfer. We study this question by holding transcript content fixed and varying six speech-delivery presets whose acoustic attributes may co-vary. We present PJ-Break, a black-box evaluation protocol with pr

Visual network analysis leverages network visualization authoring techniques to facilitate sensemaking, serendipitous discovery, and hypothesis verification on network data. However, transferring the same paradigm to immersive environments is non-trivial due to insufficient UI affordance for authoring operations. Researchers have studied combining multiple modalities for interactions, but the high learning curve of such input systems limits their adoption by typical data analysts, let alone for

Resource allocation across multiple agent groups arises in many applications including e-commerce recommendation systems, housing assignment, and course allocation, and is commonly formulated as an optimization problem with diversity constraints to ensure group fairness. Existing approaches typically enforce these constraints as hard conditions, which overly restrict the feasible solution space and often lead to suboptimal allocations. In this paper, we propose PRA, a parameterized framework for

As autonomous drone deployments scale from individual units to coordinated swarms, the human operator's role shifts from direct piloting to high-level supervision. Current interfaces often treat multi-drone control as a scaled-up version of single-drone operation. We instead investigate how reframing fleet supervision as spatial interaction can better support the spatial, temporal, and safety demands of complex missions. We present FleetScape, a Mixed Reality (MR) sandtable system that externali

Sonomyography (SMG) enables continuous device control via ultrasound-measured muscle deformation signals, but existing SMG interfaces generally require substantial user- and sensor-location-specific training data and provide only one proportional signal or task-specific classification. We present a real-time, sensor-placement-agnostic SMG control system based on sparse optical flow tracking that enables continuous 1-DOF control after minimal calibration (3 pose definitions). We also present a pr

Coding agents (e.g., Cursor) improve developer productivity by optimizing task completion, but shifting users from writing code to prompting and reviewing may harm their understanding, impeding oversight, learning, and communication. To probe this, we have 54 students create a website with one of two AI systems: an agent that edits user code; or a chatbot where users write code alone or adapt generic code snippets. We test understanding via comprehension questions and a task where users extend t