AI ethics on Wednesday, 22 July 2026

A Maryland lawyer has been sanctioned by a federal appeals court after admitting to using a generative AI tool to draft a brief that cited multiple nonexistent cases. Kusmin L. Amarsingh on Monday was sanctioned $1,000 by the US Court of A ... (https://incidentdatabase.ai/cite/1577#7539)

Cloud security firm Sysdig has released details on what it claims to be the world's first ransomware campaign completely driven by a large language model (LLM). Dubbed JadePuffer, the campaign targeted an internet-facing Langflow instance ... (https://incidentdatabase.ai/cite/1578#7541)

On July 1, 2026, researchers at Sysdig's Threat Research Team published evidence of what they assess to be the first ransomware operation conducted end-to-end by a large language model. The operator, which Sysdig named JADEPUFFER, breached ... (https://incidentdatabase.ai/cite/1578#7542)

A January 2026 class action alleges that Eightfold AI scraped personal data on over one billion workers, scored job applicants on a zero-to-five scale, and discarded low-ranked candidates before a human being ever saw their applications. An ... (https://incidentdatabase.ai/cite/1575#7543)

Eightfold is the company being sued. The AI platform filters applicants for Fortune 500 companies like Microsoft, Netflix and PayPal. Plaintiff, Erin Kistler, applied to these companies through Eightfold's online platform. "She's a highly ... (https://incidentdatabase.ai/cite/1575#7544)

Romance scammers have become extremely bold, using deepfake technology to impersonate royalty and ensnare new victims. Key takeaways Scammer used AI-generated video calls to impersonate Dubai's Crown Prince and build trust with victims. ... (https://incidentdatabase.ai/cite/1570#7545)

Are you interested in learning from human experts about how AI could impact the future of work and the customer experience? If so, it turns out that you could have unknowingly been getting some of your responses from AI. KPMG, one of the l ... (https://incidentdatabase.ai/cite/1563#7546)

PMG has removed a global report on AI after multiple case studies were found to be inaccurate and apparently generated from AI hallucinations. The Financial Times (FT) reported that the October report, Redefining excellence in the age of a ... (https://incidentdatabase.ai/cite/1563#7547)

A Bucks County man was taken into custody on Tuesday after using artificial intelligence to create child pornography, District Attorney Joe Khan said. On Tuesday, Bucks County District Attorney Joe Khan announced that Harry Tiffany IV, 66, ... (https://incidentdatabase.ai/cite/1562#7548)

A X user sent a morse code message tricking Grok into authorizing a $150,000 crypto transfer. This is a prompt injection attack against an autonomous AI agent. In this article we explain how an input obfuscation allowed the heist to occur, ... (https://incidentdatabase.ai/cite/1556#7549)

The taoiseach (Irish PM) has put out a warning about deep-fakes after a fake video of him was used to promote a financial scam. Micheál Martin said the video which was circulating online was "clearly very false material" and served as a re ... (https://incidentdatabase.ai/cite/1549#7550)

An elite Wall Street law firm has apologized to a federal judge for submitting a court filing replete with errors created by artificial intelligence, including "hallucinations" that fabricated case citations. The A.I.-generated errors came ... (https://incidentdatabase.ai/cite/1558#7551)

The elite Wall Street law firm Sullivan & Cromwell has told a court that a major filing it made in a high-profile case contained errors resulting from hallucinations generated by artificial intelligence. Andrew Dietderich, the co-head of t ... (https://incidentdatabase.ai/cite/1558#7552)

Hachette Book Group, one of the largest publishers in the United States, pulled a forthcoming horror novel on Thursday in a decision that followed widespread allegations online that the author, Mia Ballard, relied heavily on artificial inte ... (https://incidentdatabase.ai/cite/1444#7553)

The US release of a horror novel has been cancelled by its publisher over concerns that AI was used to help write it. Shy Girl by US author Mia Ballard had been scheduled for publication in the US next month, but that will no longer go ahe ... (https://incidentdatabase.ai/cite/1444#7554)

Hachette Book Group has withdrawn a horror novel after allegations circulated online that its author relied heavily on artificial intelligence. The book is to be discontinued in the UK after being published in November 2025, and its US laun ... (https://incidentdatabase.ai/cite/1444#7555)

A recent Amazon Web Services (AWS) outage that lasted 13 hours was reportedly caused by one of its own AI tools, according to reporting by Financial Times. This happened in December after engineers deployed the Kiro AI coding tool to make c ... (https://incidentdatabase.ai/cite/1442#7556)

When Amazon Web Services got hit by a 13-hour outage in December, it wasn't because a person tripped over a cord. According to a report from the Financial Times, several anonymous Amazon employees said that the outage was the fault of Kiro, ... (https://incidentdatabase.ai/cite/1442#7557)

We want to address the inaccuracies in the Financial Times' reporting yesterday. The brief service interruption they reported on was the result of user error---specifically misconfigured access controls---not AI as the story claims. The di ... (https://incidentdatabase.ai/cite/1442#7558)

Yesterday, OpenAI made an alarming disclosure: An assortment of its most advanced AI models, including one that has not yet been released, had autonomously broken out of the company's internal systems and hacked into the databases of anothe ... (https://incidentdatabase.ai/cite/1604#7559)

Tobacco giant Philip Morris used AI to generate hundreds of fake "citizen" responses opposing tougher EU rules on vapes, with the Netherlands among the countries worst affected, an investigation by broadcaster NOS and the journalism platfor ... (https://incidentdatabase.ai/cite/1590#7560)

Nearly three-quarters of Dutch submissions to a European Union consultation on stricter tobacco rules were fully written by artificial intelligence and submitted as apparent individual responses. Most were traced to an AI tool linked to tob ... (https://incidentdatabase.ai/cite/1590#7561)

Brussels -- One in three responses to the European Commission's public consultation on stricter tobacco legislation is said to have been generated by artificial intelligence. The allegation -- which is worrying because it also casts doubt o ... (https://incidentdatabase.ai/cite/1590#7562)

In December 2025, Amazon Web Services experienced a 13-hour outage that started with an AI bot making a decision. Not a human engineer. An AI coding tool called Kiro decided the best way to fix a problem was to delete and recreate a product ... (https://incidentdatabase.ai/cite/1442#7563)

Amazon Web Services recently averted a potential software supply chain disaster when it discovered that malicious code had been inserted into an open-source repository accessed by a generative AI-powered assistant widely used to supercharge ... (https://incidentdatabase.ai/cite/1158#7564)

“Roger, roll, pitch,” said mission control during NASA's Artemis II mission, streamed live to millions around the world. But for some Koreans watching it in real time on the KBS TV YouTube channel, the phrase took on an entirely different ... (https://incidentdatabase.ai/cite/1446#7565)

Korea's major broadcast channel KBS issued a public apology on Thursday for the use of accidental AI-generated profanity in its subtitles during the channel's YouTube livestream for the Artemis II launch on Wednesday. The channel's AI tra ... (https://incidentdatabase.ai/cite/1446#7566)

A recent social media scam impersonating Inland Revenue's top boss has prompted a warning from the tax agency. An image of a man said to be commissioner of Inland Revenue Peter Mersi was used as part of a social media scam inviting people ... (https://incidentdatabase.ai/cite/1413#7567)

Martin Lewis has hit out at online scammers after a 'deep fake' of his wife, Lara Lewington, being "beaten up" was circulated online. The money saving guru also slammed social media firms, saying he had "no faith" in them to "clear up" such ... (https://incidentdatabase.ai/cite/1411#7568)

Martin Lewis has hit out at "\*\*\*\*ing" scammers after an artifical intelligence (AI) generated video of his wife being "beaten up by an 'immigrant'" was circulated online. The founder of MoneySavingExpert.com said the couple had received ... (https://incidentdatabase.ai/cite/1411#7569)

Google’s parent company, which has spent heavily on artificial intelligence, also showed growth across its businesses, particularly in cloud computing.

Hacking of Hugging Face shows we do not seem to have reliable ways to curb extremely powerful AI systems Last week Hugging Face – a company that hosts artificial intelligence models and datasets – was hacked . After it reported the incident to law enforcement, few would have predicted what came next: the culprits were revealed to be AI agents from OpenAI, which had broken out of containment and were acting of their own accord. Shakeel Hashim is the editor of Transformer , a publication about the

The case appears to be the first to argue that a chatbot’s advice harmed someone seeking guidance about a medical condition.

Company behind ChatGPT says agent ‘cheated’ an evaluation by attacking a Hugging Face database OpenAI has revealed that an autonomous AI agent powered by its technology went rogue during a test, accessed the open web and hacked a prominent startup by itself in an “unprecedented incident”. The company behind ChatGPT said the startup Hugging Face had detected and contained the agent – an AI tool designed to carry out tasks without human assistance – which had entered its systems. Continue reading.

Investment in artificial intelligence and related companies is lifting the stock market and spending across the economy.

The companies hope to follow in the footsteps of SpaceX, which raised $86bn and soared to a $2.1tn valuation after it listed on public markets in June Get our breaking news email , free app or daily news podcast Top US AI developers Anthropic and OpenAI cheered when Australia announced it would set new AI rules. Big tech celebrating limits on their Silicon Valley VC-funded free-for-all might seem counterintuitive but there’s a much broader play than just what happens in one relatively small mark

Bloomsbury has 14,087 titles listed in agreement between AI startup and authors over use of their work The publisher of Harry Potter has received a multimillion-pound payout as a beneficiary of a $1.5bn (£1.12bn) copyright settlement between the AI startup Anthropic and thousands of authors over the use of their protected work to power chatbots. Bloomsbury, which is home to the bestselling novelists Sarah J Maas and Susanna Clarke as well as JK Rowling, said it had 14,087 titles listed within th

Administration will also overhaul how US government funds federal research by supporting individual scientists and AI over universities The US will spend $5bn to tackle longstanding scientific problems across multiple fields using AI , ⁠the Trump administration said in a statement on Wednesday. The agencies will use the funding to identify the root causes ⁠of chronic diseases, accelerate drug ⁠discovery and ​develop longer-lasting building materials, among other tasks, according to the statement

Union previously warned automaker that any robot deployment must be negotiated.

"This is day one for cybersecurity in the age of agents," Hugging Face CEO says.

OpenAI's latest models broke out and hacked Hugging Face. It's the first known example of a misaligned AI escaping containment with real-world consequences

In the face of backlash to concerns the AI boom will increase consumer electricity bills, the largest utility companies and data center developers in the US are now promising to do something about it. The Wall Street Journal reports that nearly 200 organizations have signed President Donald Trump's "rate payer protection pledge" that's meant to […]

These priorities are mostly old policy initiatives that have until now been de-prioritised for months or even years.

Research finds that knowledge workers now evaluate companies less on what AI can do and more on the transparency and accountability behind how it’s deployed.

OpenAI made a mistake setting up what it called a “highly isolated” testing environment and sandbox. According to cybersecurity experts, that human mistake is what made the AI-powered attack on Hugging Face possible.

Uber is also investing in Travis Kalanick's company Atoms, which has made gauzy claims about using industrial AI to modernize the world.

Substack is giving readers a way to estimate how much of a newsletter was written by AI, signaling a broader shift toward transparency around AI-assisted content.

Anthropic leaped to a $47 billion revenue run rate by May, compared to $9 billion in 2025. It’s the kind of growth that Menlo Ventures’ Matt Murphy says he’s never seen in 25 years of investing, not in the internet wave, not in mobile, not in the first cloud boom. Menlo led Anthropic’s $500M Series D, and Murphy has had a front-row seat as the company went from a pre-revenue, […]

The outspoken executive explains how the company’s business model has evolved, and why AI still has to prove it can drive growth.

Major US law firm, Willkie, is partnering with OpenAI to develop ‘AI solutions across the firm’s legal and business operations, including a firmwide rollout of ...

Glow is targeting a new class of endpoint risks created by the rapid adoption of AI agents and developer tools inside enterprises.

New research proves "it makes sense to invest in adaptations."

DOJ Files Childish Brief, Begs Judge Not To Take Its Allowance: The $1,000 a day fine Todd Blanche would really like to avoid. Heartbreaking: DOJ Lawyers Used To Have To Follow Ethics Rules : While the current DOJ argues that government lawyers should be immune from professional responsibility, over 500 former Justice Department attorneys filed a brief explaining that they never had issues serving the government ethically . So Much For Nothing To Hide : House Oversight threatens Alan Dershowitz

MARIETTA, Ga. — In his first public school visit since taking office last year, President Donald Trump stopped at an Atlanta-area high school Wednesday to promote his administration’s effort to kickstart savings accounts for the nation’s children. For decades, he said, Washington politicians gave young people “nothing but debt,” he said. “The government is finally […]

More interesting might be who was left off the list. The post Biglaw Firm With A Stellar Rep On Associate Compensation appeared first on Above the Law .

The company said earlier this year it expected to spend as much as $190bn on AI investments.

The Monterey, Calif-based naval command will use the powerful Nvidia DGX GB300 AI supercomputer to train students in how and when to employ such technologies.

ServiceNow CEO Bill McDermott said the company is becoming increasingly important as businesses deploy more autonomous AI agents.

A top White House official accused a Chinese startup on Wednesday of improperly using Anthropic's latest model and accessing restricted Nvidia chips to develop its new Kimi model. Michael Kratsios, the director of the White House Office of Science and Technology Policy, said the administration has information that Moonshot AI distilled Anthropic's Fable to produce...

The risk-reward numbers are pretty clear on this. The post The Next President Should Throw Open The Gates Of Trade To BYD And Other Electric Automakers appeared first on Above the Law .

The Equal Employment Opportunity Commission has voted to end a 60-year old requirement for employers to submit such data on their workforces.

Search giant says it will commit up to $205bn to AI investments in 2026

Andreessen Horowitz and the ride-hailing group join funding round

There’s no question that seeing Christopher Nolan’s epic “The Odyssey” in 70mm and Imax – or both – is an expansive and breathtaking experience. But for cinephiles who have already checked off those formats on their list, what’s it like to watch the Matt Damon-starring, three-hour blockbuster in 4DX? The seat-rumbling, water-spritzing technology, available in […]

CNBC's Jim Cramer urged investors not to overreact to earnings season volatility, saying short-term market moves often defy conventional logic.

The issue isn't quite as simple as it seems. The post A Class Action Lawsuit Will Determine Whether Nintendo Customers Are Entitled To Tariff Refunds appeared first on Above the Law .

A minor who sued multiple social media companies over claims that he suffered mental health problems due to his use of their platforms has dropped his lawsuit against Meta, just days before the case was set to go to trial in California. The plaintiff identified only as “R.K.C.” had brought claims against YouTube, Meta, Snap...

Breaking Defense brings you the latest from Day 3 at Farnborough.

The nearly party line vote moves the unusually contentious measure forward after it earlier stalled in both chambers of Congress.

Justice Ketanji Brown Jackson's college memories gave the actor a story he'll never stop telling. The post Matt Damon Still Can’t Believe He Was Ketanji Brown Jackson’s College Scene Partner appeared first on Above the Law .

Darren Aronofsky has showcased the work his new AI-forward studio Primordial Soup can do. Now he wants more money to do it. The company disclosed in a Securities and Exchange Commission filing last week that it was seeking to raise $15 million in cash in exchange for equity in the studio. The filing lists Aronofsky […]

Democratic Texas governor's race nominee Gina Hinojosa is focusing on artificial intelligence data centers as a key issue in her campaign against Republican Gov.

“[There are] provisions in this bill that some folks disagree with, but understand that this is just a single step in a long process,” House Armed Services Committee Chairman Mike Rogers, R-Ala., said on the chamber floor today.

The Government Accountability Office looked at 117 rules across 37 agencies and found 70% had reporting requirements that were overlapping. The post Most federal cybersecurity reporting rules are duplicative, study finds appeared first on CyberScoop .

Tech policy leadership in the White House say Moonshot AI illegally trained its model off of Anthropic’s Fable.

Around 278 teams will gain access to the platform, including agentic frameworks and high-performance computing, among other resources. The post Energy Department demos Genesis Mission platform appeared first on FedScoop .

Popular with Republican voters, not so much with Republican Senators... The post Senate Democrats Reintroduce Supreme Court Term Limits Bill, And The Polling Has Never Been Friendlier appeared first on Above the Law .

A 10-year renewal of the cybersecurity information-sharing law known as CISA 2015 passed as part of the House's fiscal 2027 defense authorization bill.

Commerce panel approves legislation barring companies with significant Chinese ownership from US market

The Trump administration announced it plans to shift some of the $200 billion in annual funding for research and development away from academic institutions to focus on individual scientists. In a memo released Tuesday, Michael Kratisos, the director of the White House Office of Science and Technology Policy, argued the framework put forth following World...

The firm's AI platform is called Wendell after Wendell Willkie. They could do with some of his advice. The post Willkie Farr And OpenAI Building Proprietary AI Named After Guy Who Would Not Have Cut A Deal With Trump appeared first on Above the Law .

Between the two of them, the couple has four NBA championships, a business empire, flourishing entertainment careers, an Oakland charity and four young children: “The thrive-in-chaos lifestyle is a real thing.”

Amazon's AGI unit has released a set of AI models, called Nova, and also includes groups working on silicon and quantum computing.

The Mission Robotic Vehicle will attach life-extending orbital "jetpacks" to sustain three commercial satellites years after they run out of fuel. The post Northrop Grumman launches in-space servicing satellites for life-extension missions appeared first on DefenseScoop .

A malicious application delivers four-stage Android spyware via phony Google Play sites, exploiting civilian fear during Iranian missile strikes.

Anthropic has to pay $1.5 billion to book authors, the largest copyright settlement in class action history. But the payout is for downloading roughly 482,460 works from piracy databases, not for AI training itself. Judge Alsup had previously ruled that AI training on legally obtained books is "transformative" and falls under fair use. The settlement is actually a win for AI labs. The article Anthropic's $1.5B piracy settlement with book authors is a record loss that hands AI labs their biggest

Federal agencies have committed more than $5 billion to the Genesis Mission, an Energy Department-led effort to use artificial intelligence to accelerate scientific research, White House science adviser Michael Kratsios announced on Wednesday. The initiative selected 278 projects from more than 5,000 applications, Energy Secretary Chris Wright said at a summit in Washington. More than […] This story continues at The Next Web

The following MBW op/ed comes from John Meller, a Partner in the Entertainment practice at law firm Manatt, Phelps & Phillips. Source

Maybe in several years, we can get it back. The post 2026: A Rule Of Law Odyssey appeared first on Above the Law .

Bills aimed at modernizing the nation’s grid for AI data centers advance to the full House

There are now 20 federal agencies on board with the Genesis Mission as a whole-of-government approach takes shape. The post NASA, DOD and others join Energy Department-led Genesis Mission appeared first on FedScoop .

ChatGPT allegedly offered "extremely dangerous medical recommendations" regarding a pulmonary embolism.

The incident is unique because it was "driven, end to end, by an autonomous AI agent system," according to Hugging Face.

NTIA would have to publish states’ semiannual reports

The Trump DOJ claims government lawyers need immunity from professional consequences. Past DOJ attorneys disagree. The post Over 500 Former DOJ Lawyers Explain How They *Somehow* Managed Jobs Without Massive Ethical Violations appeared first on Above the Law .

By reducing regulatory burdens, the FCC “is taking a critical step in allowing for continued American innovation and space superiority,” according to the Commercial Space Federation.

Monday.com is cutting roughly 20 percent of its global workforce, about 620 people, as the Israeli project management company restructures around what it calls its AI Work Platform. The company disclosed the plan in a Form 6-K filed with the US Securities and Exchange Commission on Tuesday, citing the need to support a leaner operating […] This story continues at The Next Web

There have been dozens of attacks of health care providers amid an ongoing Ebola crisis in Congo. It’s expected to increase the death rate in what’s already one of the fastest-growing outbreaks.

The VA’s Enterprise Software Asset Management (eSAM) initiative and software license inventory project lack governance frameworks and planning, per a new GAO report. The post VA software management woes linked in part to CIO vacancy, watchdog says appeared first on FedScoop .

Both houses of the French Parliament voted to block social media access for children under 15, making France the first European country to enact a ban amid a broadening global crackdown.

Jim Cramer said CrowdStrike is the stock to buy after OpenAI's agentic breach.

Software delivery lifecycle company (SDLC) Harness wants to put agents through the same pipelines and controls that all application code The post Agents keep changing their answers. Harness just built delivery pipelines that don’t care. appeared first on The New Stack .

Did your law school or alma mater make the cut? The post The Law Schools Where Starting Salaries For Graduates Exceed Their Student Debt (2026) appeared first on Above the Law .

Winter Storm Uri, the multiday freeze that slammed Texas in February 2021 and pummeled the state’s power grid, has been on Kenneth Kovar’s mind ever since. Though the resident of New Braunfels, northeast of San Antonio, didn’t lose power at the time, he wasn’t able to run his septic tank—it is independent from local systems. He had to fill his toilets with water from his backyard pool. So when Kovar, 64, bought a Ford F-150 last fall, his hope was to be better prepared for any new crisis. “I was

The worm blends in with thousands of other commands occurring daily in any given environment, yet its intent and origins remain unknown. The post Malware is targeting AI tools in software development environments appeared first on CyberScoop .

The general consensus emerging across the AI and industrial spheres is that the models themselves are no longer the bottleneck The post OpenAI built support agents for its own customer service line, now it hopes big enterprises will trust them too appeared first on The New Stack .

Perplexity's Mac app offers its own agentic AI, Personal Computer, which can handle multi-step tasks on your computer from start to finish. See why the results impressed me.

Containers are a boon to your browsing security and privacy. Out of the box, Firefox now gives you four pre-configured containers: Personal, Work, Banking, and Shopping.

Durante estas semanas ha circulado un vídeo sobre un robot trepando por la superficie curva de un tanque metálico, pegado a la chapa como si fuera una lapa, mientras pule y elimina óxido sin que ningún humano tenga que colgarse de una cuerda para hacerlo. En nuestros lares es bastante sorprendente ver esto, pero en China hay un buen puñado de empresas que ofrecen robots especializados en trabajos de altura, y por eso se me ha ocurrido que quizás es buena idea contar en este artículo qué hay de i

The DOJ's Epstein files reply calls Katie Phang 'outlandish' and 'absurd,' then requests that the court please hold off on those sanctions. The post Todd Blanche’s Brief Has The Tone Of A Kid Yelling ‘That’s Not Fair’ appeared first on Above the Law .

AMD is investing up to $5 billion in Anthropic. In return, Anthropic will deploy up to 2 gigawatts of MI450 GPUs for training and running its Claude models. For AMD, this is another major deal after Meta and OpenAI as it tries to challenge Nvidia as an AI chip supplier. Critics see these agreements as circular cash flows. The article Anthropic will deploy 2 gigawatts of AMD GPUs for Claude in a deal worth up to $5 billion appeared first on The Decoder .

Healthcare workers in Congo have faced local resistance, unpaid labor, and physical assault during the declared fastest Ebola outbreak in history.

While distillation attacks by foreign governments and companies have real national security implications, questions around who ultimately owns the data in AI systems are fraught. The post White House accuses Chinese company of distilling Anthropic’s Fable appeared first on CyberScoop .

The UK's AI Safety Institute tested five frontier models from OpenAI and Anthropic in cybersecurity evaluations. All five tried to cheat. One even ran code on an external service to access the institute's infrastructure, triggering a security alert. The article Every frontier AI model tested by Britain's safety institute tried to cheat on cybersecurity evaluations appeared first on The Decoder .

The initiative marks a wider push to steer federal science funding toward AI-powered research and individual investigators.

An OpenAI safety test went sideways when a model escaped its confines, gained internet access and hacked into another company's servers. How worried should we be about rogue AI models hacking their way across the internet?

BILOXI, Miss. — When nine young adults tossed their mortarboards into the air at the Little Biloxi Theatre on June 20, it wasn’t their first time graduating from high school. After an emotional celebration that honored the transgender and LGBTQ+ students’ resilience, it became their first graduation without gender-based dress codes or stipulations on how […]

Cisco has released two small, open-source AI models for cybersecurity that detect about 150 times more vulnerabilities per dollar than large AI agents, according to the company's own tests. The article Cisco bets its small open cybersecurity models can outperform GPT-5.5 at vulnerability detection for a fraction of the cost appeared first on The Decoder .

Amílcar Boscán also asked a judge to let him reclaim the copyrights to the song under US copyright law. Source

The release of Kimi K3 , the latest model from Moonshot Labs, a Chinese AI firm founded by a former Carnegie Mellon computer science graduate, has shaken both the AI and political worlds. In an instant, the seemingly comfortable lead held by U.S. frontier AI labs over their Chinese competitors appeared to narrow sharply. K3’s release has rattled the chattering classes in Washington and Silicon Valley. In response, they have begun fighting among themselves. Samuel Hammond, director of AI policy a

[Sponsored] A conversation with Trustpoint.One CEO Christopher Gallagher The post Why Experience Still Matters In An AI-Driven Legal Industry appeared first on Above the Law .

Designing and directing mixed human and agentic teams may be key to conducting the future of work

The Narwal Flow 2 promises to be one of the best robot vacuum cleaners for obstacle avoidance and mopping - and it is.

Disposal of Chinese agentic AI start-up has left the Facebook owner better off than it might seem. Von Louise Lucas ( KI , Wirtschaft )

AMD s’engage à investir jusqu’à 5 milliards de dollars pour soutenir le développement d’Anthropic. En échange, l’éditeur des modèles Claude promet de déployer l’équivalent de 2 GW de puces AMD au sein de ses infrastructures de calcul. Un nouvel accord croisé comme le secteur de l’IA générative les aime tant. AMD et Anthropic viennent de […]

OpenAI is planning a data center in Georgia called "Project Camellia" with a 3.2-gigawatt power deal from Georgia Power. The company pledged $80 million for the local community and $71 million in Codex credits for students to counter growing opposition to US data centers that many residents see as resource-hungry but job-poor. The article OpenAI's "Project Camellia" in Georgia secures a massive 3.2-gigawatt power deal through 2032 appeared first on The Decoder .

House Oversight chair dumped receipts in letter after law professor bailed on scheduled testimony. The post Comer Throws Alan Dershowitz’s ‘Nothing To Hide’ Boast Back At Him With Subpoena Threat appeared first on Above the Law .

Bedran Günes atendía la caja de su tienda en Berlín cuando entraron dos agentes. Revisaron sus latas de sopa, sus especias y su pan. A continuación, le pusieron una multa de 2.500 euros. Su delito: vender alimentos no perecederos, pero sobre todo, hacerlo en domingo incumpliendo la norma de 1919 recogida en la Constitución de Alemania que prohíbe abrir en domingo. "Sonntagsruhe", lo llaman. Günes reconocía al Wall Street Journal que sigue haciéndolo. "de lo contrario, mi negocio quebraría", aseg

Defekte Speichermodule verursachen Abstürze und beschädigen Daten, sind aber schwer zu diagnostizieren. Wir geben Tipps, welche PC-Software RAM-Fehler aufdeckt.

Ulrich Kelber – CC-BY-NC-ND 2.0 : Fortune Global Forum Die Bundesregierung will den Geheimdiensten neue Befugnisse im bisher beispiellosen Ausmaß geben. Zugleich schwächt sie Betroffenenrechte, unabhängige Aufsicht und Möglichkeiten für Transparenz. Eine freiheitliche Demokratie kann sich diese unausgewogene und gefährliche Mischung nicht leisten.

Soundcharts founder David Weiszfeld on 'tokenmaxxing', the AI reckoning he expects in 2027, and why the jobs at the heart of the music business will outlast the tools built to serve them. Source

The fungi-infused beverage isn't backed by much science. Here's what experts say about it.

Not sure vibe coding is ready for legal prime time, at least not yet. The post Vibe Coding For Lawyers: Next Big Thing Or Just A Big Dud? appeared first on Above the Law .

Das Bundesamt für Sicherheit in der Informationstechnik blickt mit Sorge auf den Cybersicherheitsvorfall bei OpenAI. Das BSI nimmt KI-Konzerne in die Pflicht. Denn: So etwas könne sich jederzeit wiederholen.

Director Yoshihiko Ito shares insight about the importance of maintaining the series' key strengths when prototyping new ideas.

Regulator urges health service to ensure communications about benefits are ‘clearly and appropriately labelled’

The private equity firm sold its majority stake in June. The post Blackstone Divested From Spanx appeared first on Above the Law .

[Sponsored] Capabilities, cost and autonomy are top of mind concerns for developing effective unmanned aircraft.

The advisory urged students & employees to stay away from political discussion on social media and not to make statements which could embarrass IIT Roorkee's relation with the central govt. The post ‘No student or employee’ to join political activity without permission: IIT Roorkee appeared first on MEDIANAMA .

Substack has partnered with AI plagiarism checker Pangram to introduce a new ‘scan for AI text’ feature. On any Substack post published after 4.30pm on the 21 of July 2026, readers can now select the “scan for AI text” tile from the drop-down menu in the top right corner of the web version and it will give the percentage of … The post Substack promotes human content with ‘scan for AI’ feature appeared first on Press Gazette .

Geflogen wird seit Juni, noch mit Pilot. Die Software kann die komplette Steuerung �bernehmen. Geplant waren erste Fl�ge eigentlich schon 2024. ( Milit�r , KI )

Each project chosen by the Department of Energy focuses on advancing a critical scientific area with the help of artificial intelligence.

The bill also bans the use of mobile phones in high schools.

BDO, one of Norway's leading advisory and audit firms, has selected Strise as its technology provider for customer due diligence and anti-money laundering (AML). The agreement makes Strise's AI platform a central part of how BDO meets its anti-money laundering obligations.

Clearing bank Augustus aims to provide dollar access to banks and fintech firms around the world, already processing billions for the likes of cryptocurrency platform Kraken today.

* Epstein victims urge Senate to reject Todd Blanche nomination because... well, because of the whole "using the DOJ to run interference for sex abusers" thing. [ Washington Post ] * Appalachian School of Law pushing for merger against some local opposition. [ Cardinal News ] * RFK Jr cuts off Medicaid in California and Minnesota in retaliatory action against Blue states. [ Axios ] * Professor Orin Kerr recirculates his "So You're About to Start Law School" lecture. [ Volokh Conspiracy ] * Secon

China is the first country to enact substantial legislation on AI relationships in an effort to protect people from the worst aspects of digital companions

Vultr, the world’s largest privately-held cloud infrastructure company, and AMD, a leader in high-performance and AI computing, have announced their support for the University of Cambridge's Energy & Environment Group in developing TESSERA, a groundbreaking AI foundation model designed to monitor environmental change internationally at unprecedented scale.

Literacy rates have steadily risen around the world over the last decade, according to a 2025 UNESCO report —important progress on a key UN Sustainable Development Goal, as the ability to read, write, and use numbers is “crucial for thinking critically and navigating information-rich society and economy in a safe, effective and responsible manner.” Access to digital learning has largely been associated with higher test scores for students globally. As technology continues to advance, tech compan

Que las olas de calor afectan a nuestra salud es algo que estamos empezando a asumir por las malas. Sin embargo, el hecho de que también afectan a la economía nos pasa bastante más desapercibido. Por ejemplo, en España están teniendo un efecto cada vez más notable sobre el turismo. Lo ha demostrado recientemente un equipo de investigadores de la Universidad Rey Juan Carlos. En él, así como en un artículo divulgativo publicado en Science Media Centre (SMC), estos científicos señalan cómo se relac

VW will die Entwicklung von Fahren mit Level 3 und Level 4 in China beschleunigen. Dafür vertieft der Konzern die Zusammenarbeit mit Horizon Robotics.

From evolving threat vectors such as AI to the challenge of boardroom education, cyber security leaders face a mounting array of pressures.

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

In 2019, the AI researcher Rich Sutton published a short essay called “The Bitter Lesson.” Seventy years of AI research, he argued, kept demonstrating the same thing: The most effective ways to train AI rely on raw, brute-force computing power — simply scaling up — rather than clever approaches built on human insight. It didn’t […]

When Child Protective Services and a police officer showed up at the home of former Secretary of Transportation Pete Buttigieg, he assumed, as many people do, that this was an abuse of an otherwise well-meaning and well-functioning system. But what happened to Buttigieg’s family is not an anomaly. Every day, parents and children torn apart […]

A new mission to save NASA’s Swift observatory shows why catching a satellite that was never designed for rescue is one of the hardest jobs in spaceflight.

By identifying the genes and molecules crucial to resistance in American chestnuts and other species, researchers hope to use genomic techniques to breed trees that can flourish in the face of blight.

Google ne veut pas se laisser distancer par Anthropic et OpenAI sur le terrain des modèles IA spécialisés dans la cybersécurité. Avec Gemini 3.5 Flash Cyber, le géant du web se jette à son tour dans la chasse aux failles de sécurité – un modèle sous contrôle, comme chez les rivaux. Google a levé le […]

Anthropic detailed the containment architectures it uses for Claude across its products. It argues that agent safety depends on placing deterministic limits on an agent’s filesystem, network, and execution environment rather than on permission prompts or safeguards. Most notably, it examines failures at trust boundaries and along permitted egress paths that led Anthropic to revise those designs. By Eran Stiller

The incident, identified on 15 July, “has affected certain information technology systems and operations,” says the company.

Indian authorities are blocking and restricting online content documenting police violence, alleged censorship and internet shutdowns during the student protests at Delhi’s Jantar Mantar. The post Censorship Tracker: A live list after Jantar Mantar Protests in New Delhi appeared first on MEDIANAMA .

Microsoft is set to invest $60 million in the Department of Energy’s (DOE) "Genesis Mission," which focuses on accelerating scientific discovery and technological leadership through artificial intelligence. The company’s investment will put $40 million toward Azure cloud and AI computing credits over three years to “support large-scale AI and scientific workloads” while $20 million will...

Very few companies have a better real-time read on the American economy than Delta, and even fewer CEOs are more willing to say what they actually think than Ed Bastian. True to form, he shares how the company’s business model has evolved over time, and why he’s not convinced by AI until it moves his top line. This is an abridged transcript of an interview from Rapid Response , hosted by former Fast Company editor-in-chief Robert Safian. From the team behind the Masters of Scale podcast, Rapid R

Jake Mannix discusses moving AI agents past chaotic "1970s BASIC" architectures. He shares how implementing an intermediate protocol layer allows engineering leaders to build versioned, encapsulated "virtual tools." This design enables interface mapping, dynamic schema projection, and runtime taint tracking to proactively eliminate data exfiltration risks without slowing velocity. By Jake Mannix

OpenAI said Tuesday that one of its artificial intelligence systems hacked into another AI company’s servers on its own during internal testing, in what the ChatGPT maker described as an “unprecedented cyber incident.” “We had a significant security incident during evaluation of our models,” OpenAI CEO Sam Altman said in a statement. “We are sharing...

It is one of the first publicly disclosed cyber-attacks carried out by AI without direct human involvement.

European and US banks inadvertently transmitted customer data to ad platforms via tracking pixels, raising serious compliance, security, and privacy concerns.

Samsung is in talks to invest up to one billion euros in French AI startup Mistral, which would push the company's valuation to around 20 billion euros. The article Samsung deepens its AI empire with a potential billion-euro stake in Europe's hottest AI startup appeared first on The Decoder .

LM Studio begibt sich ins Agentengeschäft. Mit Bionic lassen sich offene Modelle lokal oder via Cloud nutzen, um Mac oder PC zu steuern.

The move comes as Nigeria's telecommunications sector continues to grow, with mobile subscriptions and data consumption increasing and operators investing heavily in network infrastructure and customer acquisition.

Higher education minister Buti Manamela tasks the National Skills Authority to assess MICT SETA’s Accounting Authority.

Accertify, a leading fraud decisioning provider whose Predictive Yes Platform enables merchants to say yes to more good customers, more revenue, and more growth, today released The Convergence Dividend: Quantifying What Fraud-Cyber Convergence Actually Delivers, a landmark proprietary study conducted in partnership with Liminal.

The enterprise software giant positions GenAI copilot Joule as the nerve centre for managing AI agents across business systems.

Beijing is ramping up its computing power and unveiling new policies to boost the city’s “token economy”, as China accelerates AI adoption across key industries in its tech race with the US. The Chinese capital aims to add another 50,000 petaflops of intelligent computing power in the second half of 2026, pushing its total capacity over 130,000 petaflops by the end of the year, the Beijing Municipal Bureau of Economy and Information Technology said at a press briefing on Tuesday. One petaflop is

In April, the National Center for Education Statistics reported that the 50 states and Washington, D.C., took in $1 trillion in federal, state and local revenue for K-12 public education in the 2023-24 school year. One. Trillion. Dollars. That’s a remarkable milestone. And while it doesn’t tell the whole story — it represents only revenues, […]

The company merges its Flash fintech subsidiary with Shop2Shop to create merchant commerce and fintech platform FintechCo.

A curated reading list for MediaNama’s July 31 roundtable on age verification and restricting social media for children. The post Reading List: Age Verification and Restricting Social Media for Children, Delhi, 31 July #NAMA appeared first on MEDIANAMA .

To increase productivity at work, we need to embrace a passion for exploration, argues John Hagel.

The release of the Chinese AI model Kimi 3 is forcing Washington and Silicon Valley to reckon with another sign of intense competition with Beijing, renewing questions over how to curb the country’s technology capabilities. Kimi 3, released late last week by the China-based firm Moonshot AI, quickly sent shockwaves through industry and policy circles,...

KI-Agenten versprechen mehr Autonomie als Chatbots. F�r Unternehmen z�hlt, ob Sicherheit, Kosten und Nutzen belastbar sind. Ein Workshop ordnet die Praxis ein. ( Golem Karrierewelt , Programmiersprachen )

UK listed law firm Gateley yesterday (22 July) announced that CEO Rod Waldie is stepping down from 1 August for health reasons, following revelations first revealed by Roll on Friday […] The post Gateley’s CEO stands down following business services cuts appeared first on Legal IT Insider .

The Brontanax drone, roughly the size of a BAE Hawk trainer jet, was unveiled by newly installed Defence Secretary Wes Streeting.

For the first time, the Pan-African venture capital firm returns R45 million to investors in its Launch Africa Seed Fund I.

OPay currently serves 46 million users in Nigeria (according to its own estimates) — roughly 0.23% of Nigeria’s over 200 million population. Outside Nigeria, the fintech has footprints in Egypt, Indonesia, and Pakistan.

Hugging Face a communiqué récemment sur une attaque menée par un agent autonome contre ses infrastructures, occasionnant une compromission partielle. Patatras ! OpenAI vient de révéler qu’il s’agissait de l’un de ses modèles et qu’il s’était « échappé » de la sandbox où il était censé être confiné. Le 16 juillet, Hugging Face a publié un […]

The company will demonstrate how organisations can build scalable AI infrastructure while improving cost control, governance and data sovereignty.

US Treasury Secretary Scott Bessent signalled potential action against open source artificial intelligence (AI) models amid accusations that Chinese developers are creating low-cost systems using stolen US intellectual property. “This administration supports open source models, but what we do not support is IP theft,” Bessent said on Fox Business on Tuesday. “If we see, especially, that overseas models are stealing from our great companies, we have the ability to sanction them.” Watermarks from.

Kalshi launched a new online hub Wednesday for midterm election forecasting, displaying prediction market odds for major races alongside polling averages, fundraising data and other election information. The platform touted its "Midterms Hub" as a "one-stop-shop for state and federal election forecasting," featuring Senate, House and gubernatorial races. "Prediction markets don't care about spin or...

Anthropic will pour another $20 million into Public First Action, the nonprofit organization advocating for safeguards on artificial intelligence. The contribution, announced by the company Wednesday, brings the Claude-maker's total funds given to the group to $40 million. Public First Action is the policy arm of Public First, a super PAC backing candidates who support...

A Labour Court halts a municipal disciplinary hearing after finding rulings may have relied on AI-generated hallucinated legal authorities.

NITI Aayog reportedly convened a closed-door meeting with major tech intermediaries and industry bodies to discuss content blocking requirements and transparency timelines under India’s IT Rules. The post NITI Aayog meets Meta, YouTube, industry bodies on online content blocking rules appeared first on MEDIANAMA .

A flagship model from China’s Zhipu AI has helped contain an autonomous cyberattack by OpenAI’s frontier systems targeting popular developer platform Hugging Face, as concerns grow over the security risks posed by advanced AI models. OpenAI’s latest flagship models – including GPT-5.6 Sol and an unreleased, “even more capable” system – recently breached Hugging Face’s infrastructure during internal evaluations of their offensive cyber capabilities, the US lab disclosed on Wednesday. The company.

Senior leaders must treat AI governance as their own daily job, not something the technology committee handles quarterly, write Peter Pronovost, Justin Norden, and Kedar Mate.

The findings arrive as African governments compete to attract founders and foreign investment by simplifying the mechanics of starting a business.

L’entreprise a annoncé une enquête conjointe avec la cible de cette attaque. OpenAI a précisé que l’incident impliquait une combinaison de modèles, dont son GPT-5.6 Sol ainsi qu’un modèle en cours d’élaboration.

Plus: New York Times and Chicago Tribune sue Perplexity and Google signs non-licensing AI deals. The post Who’s suing AI and who’s signing: News Corp sues Brave, Microsoft signs Australian Copilot deal appeared first on Press Gazette .

Mit 48 Millionen Euro hat microagi die größte Einstiegsfinanzierung eines deutschen Start-ups eingesammelt. Google Cloud wird erster Partner mit Nvidia-Technik.

Eine Übersichtsarbeit zeigt, dass nur etwa die Hälfte aller Mental Health Apps mit wissenschaftlich geprüfter Wirksamkeit noch öffentlich verfügbar ist.

CATL has signed a 2 GWh agreement with Solarpro, a leading renewable energy company in Central and Eastern Europe, to deploy its Tener Sodium energy storage system. The two companies plan to jointly develop the first large-scale sodium-ion battery energy storage project in the region later this year. The project will use CATL’s Tener Sodium […]

Jack Dorsey a annoncé mardi le dernier projet en date porté par son entreprise Block : un espace de travail baptisé Buzz, dans lequel des développeurs humains et des agents IA sont censés pouvoir collaborer de façon efficace et sécurisée. En pratique ? L’interface ressemble à celle d’un Slack, d’un Mattermost ou d’un Discord, au […]

In March 2025, China’s military researchers published a concept describing how to rapidly capture and subdue the city of Taipei. Distributed in restricted military channels, this approach argues Beijing can achieve victory “by blocking the city’s ability to receive external assistance, restricting its ability to enable operations, breaking its operational system, collapsing cognitive cohesion, and eliminating its ability to recover.” Its objective is to break the Taiwan people’s will to fight.Wh

Fast-growing Chinese robot maker AgiBot is pursuing an initial public offering in Hong Kong and has hired Citic Securities as a sponsor, according to two people familiar with the matter. Additionally, China International Capital Corporation (CICC) and Morgan Stanley have also been tapped as joint sponsors, one of the people said. Shanghai-based AgiBot had shown signs that it was looking to list following its restructuring from a limited liability company to a joint-stock limited firm last year,.

DOJ Takes Aim at UC San Diego Med School’s Use of Hardship in Admissions Katherine Knott Wed, 07/22/2026 - 03:00 AM Byline(s) Katherine Knott

Survey: Majority of Americans Say College Not Affordable kathryn.palmer… Wed, 07/22/2026 - 03:00 AM Meanwhile, nearly three-quarters of parents want their child to pursue some type of higher education after high school, with the strongest preference for a four-year degree.  Byline(s) Kathryn Palmer

House Republicans Move to Codify the Definition of Biological Sex jessica.blake@… Wed, 07/22/2026 - 03:00 AM Democrats argue the bill will actually strip LGBTQ+ students of civil rights protections, going beyond what the Supreme Court intended. Byline(s) Jessica Blake

Even Failing Dual Enrollment Students More Likely to Enroll in College gianna.jakubowski Wed, 07/22/2026 - 03:00 AM A new study out of Brown’s Annenberg Institute explores the impact that failing dual-enrollment courses has on high school students’ decision to attend college. Byline(s) Gianna Jakubowski

Degree Attainment Gaps Persist for Latino Students Sara Weissman Wed, 07/22/2026 - 03:00 AM Byline(s) Sara Weissman

Academic Freedom at UT ‘Being Dismantled,’ Says Professor Denied Tenure Emma Whitford Wed, 07/22/2026 - 03:00 AM Border-surveillance researcher Iván Chaar López received a near-unanimous recommendation from faculty and outstanding external support letters. Still, he was denied tenure without explanation. Byline(s) Emma Whitford

Saab Grintek Defence and Lanseria International Airport hosted the Nelson Mandela International Career Expo to encourage more young people to pursue STEM careers.

The non-negotiables should always be a firewall, endpoint security and e-mail security, says Dragan Hanc, business development manager at Intelys.

With Stock2Shop as the e-commerce integration and automation partner and engine, PEP moved from a limited online capability to a fully operational Shopify storefront.

Meta has introduced parental supervision tools for Threads, allowing parents to track teen usage, set time limits, and manage privacy settings. The post Meta adds parental controls to Threads nearly three years after launch appeared first on MEDIANAMA .

The fog of Warsh

The Taiwan-based chipmaker has announced $200 billion in investment into U.S. manufacturing since Trump returned to power in 2025.

The actress and her longtime stylist, Law Roach, have become modern pioneers of "method dressing," in which they match fashion to her film and television roles during their respective press tours.

Chinese artificial intelligence unicorn Moonshot AI, whose release of its Kimi K3 model last week sparked talk of another “DeepSeek moment”, has accelerated its fundraising ahead of a planned initial public offering (IPO) in Hong Kong, eyeing a new financing round as early as next month, a source says. The Beijing-based company was set to close its current funding round at a US$30 billion valuation later this month or early next month, according to a person familiar with the matter. It planned..

Critics may label the initiative as 'Privacy sandbox 2.0,' but advocates counter with privacy arguments.

South Korean giant could invest as much as €1bn in French AI group seeking to be a leading alternative to US tech

Moonshot AI, the developer of the Kimi chatbot, reportedly plans to begin talks in August for a final pre-IPO funding round targeting a pre-money valuation of up to $50 billion. The company could pursue a Hong Kong listing within six months. The round would follow current financing expected to value Moonshot at about $31.5 billion […]

Experten warnen schon lange vor Cyberattacken mit KI-Software, diese Meldung dürfte sie bestärken: Während eines internen Tests bei OpenAI machten sich KI-Modelle selbstständig. Die Firma spricht von einem »beispiellosen Cyber-Zwischenfall«.

Jennifer Garner recently told the “Shut Up Evan” podcast that paparazzi would go to dangerous lengths to get photos of her and her children. “If I went through a yellow light, 15 cars would go through the red behind me,” Garner said. “They would drive up onto people’s lawns, even on a hillside. We were […]

Global technology corporation FPT and Nuummite, a MEA-based digital transformation and intelligent automation firm, have signed a Strategic Cooperation Agreement to advance collaboration across the Middle East and Africa, creating a stronger platform for enterprise transformation through customer experience, data, AI, and cloud solutions.

Spain’s proposed ‘AI secrecy law’ is putting transparency, taxpayer rights and algorithmic accountability at the centre of Europe’s tax debate ...

Global biotech firms are increasingly being drawn to Hong Kong for its growing investor base and proximity to Chinese pharmaceutical partners.

AI lab’s advanced models escaped testing ‘sandbox’ to hack Hugging Face

Capital One has released an open source agentic AI security tool that scans source code for vulnerabilities.

Natural, a US fintech startup building a payments stack for AI agents, has raised a $30 million Series A round led by Kirsten Green at Forerunner.

How AI deprived my students of the reading struggle they needed to succeed — and five better ways to use it.

Most of the world’s garlic is grown in China. But this year, unusual weather conditions this past fall, winter, and spring challenged the country’s farmers.

CSET Senior Fellow Emelia Probasco shares her experience and the remarks she gave at the Global Nobel Laureates Assembly on Artificial Intelligence and Nuclear War, which took place at Borgo Laudato Si’, Vatican. The post Remarks at the Global Nobel Laureates Assembly on Artificial Intelligence and Nuclear War in Borgo Laudato Si’, Vatican appeared first on Center for Security and Emerging Technology .

OpenAI announces Project Camellia in Effingham County, Georgia, with commitments to responsible energy, community investment, jobs, and access to Codex.

We shared how Samsung users can boost productivity and get time back on new foldables, watches, and glasses coming soon.

OpenAI outlines its commitment to advancing American science working with the U.S. Department of Energy and national labs to use frontier AI to accelerate discovery.

Introducing OpenAI Presence, a proven enterprise AI agent platform that helps organizations deploy trusted voice and chat agents for customer and internal workflows.

Legal intern Suzanne Castillo was the principal author of this post. The Fourth Circuit issued a disappointing opinion in U.S. v. Belmonte Cardozo , a case in which EFF filed an amicus brief , alongside the national ACLU, its Maryland, North Carolina, South Carolina, and Virginia affiliates, and the National Association of Criminal Defense Lawyers (NACDL). We argued that electronic device searches at the border should require a warrant based on probable cause, but at minimum, regardless of wheth

Also, a new interpretability method for illuminating LLMs’ internal reasoning steps, and a study on LLM persuasion abilities

The United States lacks a rigorous, routinized approach to managing foreign policy crises. The Wachenheim Center for Peace and Security has developed a set of Crisis Response Playbooks and a Crisis ...

This story is wild. The short version: OpenAI were running a cybersecurity test against an unreleased model, with the model's guardrail features turned off. Rather than solve the test, the model broke its way out of OpenAI's sandbox, then found exploits to break in to Hugging Face, all so it could cheat on the test by stealing the answers. Along the way it helped make the strongest case yet for how the imbalance of model availability is hurting our ability to secure our software. Here's what hap

This latest incident is a rather dramatic escalation in agentic AI cybersecurity breaches.

Southeast Asian countries have started to bridge the digital divides. To facilitate cross-border trade, QR payment (Opens in new window) systems show how regional cooperation can deliver practical ...

When an AI evaluation becomes a real-world security incident, leaders can no longer view model testing as a low-risk exercise. The OpenAI and Hugging Face incident reveals how agentic AI can cross trust boundaries, exploit vulnerabilities, and create business risk long before deployment.

Thanks for reading this week’s free Where’s Your Ed At newsletter. Friday’s premium newsletter will ask the simple question: Is Oracle dying? It’s been one year since I launched the premium newsletter, and I’ve decided to extend the discount

San Francisco tip: it only costs around $15 ($10 in quarters plus a $5 bill for the self-playing violin) to activate every single Orchestrion in Musée Mécanique . And because most people are bad at allocating their funds you may well be the ONLY person activating the Orchestrions, which means you get to craft the soundscape for the entire museum. Tags: san-francisco

Biodiversity loss is one of the central challenges of the “triple planetary crisis” alongside climate change and pollution. Scientific assessments suggest that humanity has already transgressed the planetary boundary relating to biosphere integrity and researchers discuss whether we are already within a sixth mass extinction event. This post seeks to initiate a broader discussion on the promises and pitfalls of replicating successful climate advisory opinion initiatives for the integrity of the

Can we ever develop and use AI in an environmentally sustainable way? My conversation with Philipp Hacker and Boris | Edition #308

Before a healthcare robot can be useful in the real world, it has to learn how the physical world pushes back. Anatomy varies. Instruments bend, press, slip and interact with tissue. Imaging can be noisy or incomplete. And the rare, edge scenarios developers most need to understand don’t appear on schedule. That creates one of […]

The use of LLMs for foreign intelligence surveillance erodes the rules put in place to safeguard Americans' civil liberties. The post AI and Warrantless Foreign Intelligence Surveillance appeared first on Just Security .

Signup to receive the Early Edition in your inbox here. A curated weekday guide to major news and developments over the last 24 hours. Here’s today’s news: IRAN WAR The U.S. military carried out its 11th consecutive night of strikes on Iran, with the latest wave lasting about 75 minutes overnight, according to the U.S. […] The post Early Edition: July 22, 2026 appeared first on Just Security .

Inside the lab of a biologist who is seeking to understand intelligence by focusing on problem-solving, not neurons - by Aeon Video Watch on Aeon

Today's links Trump's America can't even win a rigged game: America has created a post-American world. Hey look at this: Delights to delectate. Object permanence: "Fagin"; Scott McCloud on comics' future; Laurie Penny on Milo Yiannopoulos; Singaporean regulator rap; Conservatives as bitter rubes. 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 sa

Several new Cyber headlines make us observe a trend

The Executive Board of the International Monetary Fund (IMF) concluded the 2026 Article IV consultation with Brazil on July 20, 2026. Brazil’s economy has remained remarkably resilient in the face of ...

What GAO Found The Individual Longitudinal Exposure Record (ILER) is a web application that links service members’ and veterans’ military toxic exposures and related information from Department of Defense (DOD) and Department of Veterans Affairs (VA) databases. DOD and VA intend ILER to be a multi-purpose tool to support clinicians in providing diagnoses and treatment decisions, researchers in conducting health surveillance and epidemiological research, and Veterans Benefit Administration (VBA)

What GAO Found The Infrastructure Investment and Jobs Act (IIJA) and Inflation Reduction Act (IRA) provided budget authorities for transportation, infrastructure, and energy projects. Together, the four agencies selected for this review—the Environmental Protection Agency (EPA), Department of the Interior (Interior), National Telecommunications and Information Administration (NTIA), and Department of Transportation (DOT)—obligated a majority of their IIJA or IRA funding. IIJA. Of the approximate

What GAO Found GAO identified 117 cybersecurity regulations established by 37 federal agencies for private entities, spanning nine critical infrastructure sectors. Most of those regulations either contain the same kind of reporting requirement applicable to a sector or the same reporting requirement as at least one other regulation, which may lead to duplication. Specifically, 80 of the 117 regulations (about 70 percent) had at least 125 total reporting requirements (see figure), with some regul

What GAO Found Since 2000, the Bureau of Alcohol, Tobacco, Firearms and Explosives (ATF) and the National Shooting Sports Foundation (NSSF) have managed and launched the Don’t Lie for the Other Guy campaign across various cities in the U.S. The campaign is intended to educate the public about the legal consequences of “straw purchases”—when someone who is prohibited from buying a firearm has someone else (a “straw buyer”) make the purchase for them. The campaign also educates federal firearms li

What GAO Found Technologies like batteries and semiconductors are essential to the U.S. economy but rely on imports of lithium, gallium, and other critical minerals. GAO found that substitution and recycling technologies could help reduce U.S. reliance on these imports. But progress is likely to take many years in some cases. Potential for technologies to reduce critical mineral import reliance For batteries, substitution and recycling technologies offer near-term potential. For example, using l

As countries strive to provide future-ready education, they need to establish firm digital foundations for learning at scale. The International Telecommunication Union (ITU) has joined the Gateways to ...

Artificial Intelligence (AI) is rapidly transforming organizations, raising a fundamental organizational and economic question: when will a human employee be replaced by AI? We present an analytical model for studying Human--AI Task Allocation (HAT) in hierarchical organizations. A central feature of the HAT model is that it formally encodes the economic asymmetry between human skill acquisition and AI capability scaling. The HAT model allows us to derive how risk-adjusted costs, skills, organiz

Large language models (LLMs) have shifted human--computer interaction from `traditional'' interface journeys toward more conversational exchanges. Researchers studying HCI and UI use moderated usability sessions, interviews, surveys, transcript analysis, and static prototypes. However, static prototypes provide limited opportunities to study interaction with live AI systems or systematically control how an LLM behaves across participants and scenarios. Conversation transcripts reveal little abou

A record system declares when two records refer to the same entity, occurrence, scope, or rule. Its disclosed implementation mechanisms induce a corresponding operational identity relation. The declared and implemented relations may diverge systematically without producing a provenance gap or detectable contradiction. A system can apply, consistently and with every record individually correct, a rule of sameness that no artifact declares. This paper formalizes that implemented relation. A declar

Harnessing the potential of electroencephalography (EEG) for brain research is fundamentally limited by intrinsic noise and the diffuse projection of brain-generated activity over the scalp. The standard event-related potential (ERP) paradigm addresses this limitation by relying on repeated independent trials, albeit at the cost of moving away from naturalistic experimental conditions. As a more naturalistic alternative, we collected continuous EEG while participants watched short films and extr

Interactive image segmentation is critical for efficient image annotation; however, existing methods often require many corrective clicks or rely on passive refinement schemes that converge slowly. We propose Uncertainty-Guided Cascade Forward Refinement (U-CFR), a novel inference-time framework that enables models to autonomously self-correct after each user interaction. U-CFR introduces a boundary-aware uncertainty score that fuses segmentation uncertainty, contour gradients, and explicit edge

The operation of blockchain is governed by consensus algorithms (CA). Several consensus mechanisms require significant computational power, while others necessitate high amounts of stakes to select the participant to validate and verify the transactions in the block, leading to centralisation of power and participant exclusion. This paper proposes a novel methodology to address these issues in reputation-based consensus algorithms by studying the reputation behaviour of the validator using intui

Human judgment is fundamentally prone to error. A promise of AI is that it will rid decisions of bias and ensure a fairer and safer world for all. Yet research unequivocally demonstrates that LLMs exhibit consequential sociocognitive biases. We alert readers that bias in AI (a) is covert and ironically a feature of alignment goals, (b) is not merely a mirror, but an amplifier of human bias, (c) intensifies across model generations, and (d) even transmits bias to humans. Given the potentially sei

Concept Bottleneck Models provide interpretable-by-design predictions by mediating diagnosis through human-understandable concepts, but in medical imaging, their trustworthiness is often limited by the quality and granularity of available supervision. In particular, predicted concept activations can be driven by irrelevant regions, leading to spatially unfaithful explanations. We study a data-centric spatially grounded Concept Bottleneck Model (SG-CBM) that leverages coarse lesion delineations a

Clinical biomarker workflows in translational research settings often rely on spreadsheet-driven tracking, manual quality control (QC) reconciliation, and loosely integrated systems, resulting in limited state visibility, delayed reporting, and increased operational risk. These challenges are particularly pronounced in multi-day assays such as Luminex-based quantification of Fragile X Messenger Ribonucleoprotein (FMRP), where HIPAA-compliant data governance, deterministic workflow progression, a

Natural-language autoencoders score explanations of hidden activations by reconstruction: an explanation is deemed faithful if the activation can be regenerated from it. The test is structurally insensitive to individual false claims: if flipping a claim does not change the reconstruction, the claim is never penalized. We show the test is passed in two ways, neither faithful. On a released Qwen-2.5-7B verbalizer, explanations reconstruct well above chance while ~2% of specific claims are reconst

Generative AI can produce book-length works of fiction at near-zero cost. These books are often dismissed as low-quality ``slop'' that buyers will ignore, and are assumed to carry little commercial weight. We test that assumption with full-text AI detection across 14,419 self-published genre-fiction books sold on Amazon from 2023 to 2026, matched to daily sales records through June 2026. None of these books disclose whether or not they contain AI-produced content. We find that books for which we

Closing the gap between benchmark performance and reliable real-world operation remains a central challenge for Vision-Language-Action (VLA) humanoid robots, which must handle execution errors, distribution shifts, and environmental variability. This paper presents DEED (Data-Efficient Post-Training and Experience-Driven Learning), a systems-level approach evaluated on a supermarket chip-restocking task using a Unitree G1-Edu humanoid robot and the GR00T N1.6 foundation model. DEED comprises thr

Medical image encoders from different groups are increasingly treated as interchangeable, on the assumption that scale and clinical supervision concentrate their representations onto a shared structure. Whether this convergence is real, what produces it, and whether it is clinically usable are untested, and the similarity measures behind such claims are fragile. We present a controlled dissection across 18 image and 7 text encoders, all open-weight and run locally, spanning 7M to 27B parameters

Large-scale pretrained language models such as T5 and BERT have demonstrated strong capabilities for generating structured knowledge. However, their performance depends on how closely the prompting strategy matches the objectives used during pretraining. We introduce the Maskability Index (MI), a quantitative metric that estimates whether a knowledge relation is better suited to masked-style prompting or prefix-style prompting in few-shot generation. MI is computed from differences in DepthRank

LLM-driven autonomous agents are reshaping offensive security. Unlike traditional penetration-testing tooling -- deterministic, narrowly scoped, and operated by trained practitioners -- agentic security tools exhibit \textit{indeterminacy} along three independent dimensions. First, their actions are drawn from a non-deterministic policy whose outputs resist both ex-ante and ex-post explanation, frustrating incident attribution and pre-deployment safety review. Second, their impact is open-ended

Machine learning courses often use pre-labeled datasets, hiding the subjectivity of human annotation. This creates students with an overly trusting view of AI data and models, undervaluing interpretive diversity. We investigated whether manual data annotation tasks teach students about subjective labeling. Study Design: An annotation activity was implemented at two universities: Fontys (Netherlands) and IT University Copenhagen (Denmark). Students annotated skin lesion images for hair coverage o

Enterprise strategic decision support requires AI systems that are not only accurate, but also uncertainty-aware, risk-calibrated, explainable, and governance-compliant. This paper proposes TRUST-ESD, a risk-calibrated and governance-aware framework for enterprise decision support under uncertainty. TRUST-ESD evaluates feasible counterfactual strategies through predictive utility estimation, conformal uncertainty calibration, CVaR-based downside-risk scoring, risk-memory retrieval, policy-as-cod

Large language models can answer scientific questions, yet a correct output does not reveal whether the model represents or uses the governing physics. Here we show that materials science mechanism information in the open-weight google/gemma-4-E4B-it model has three experimentally separable forms: concepts are readable in individual hidden states, constitutive orientation is carried by controlled transformations between states, and selected internal representations causally control engineering a

In modern IT operations (IT-Ops), the cost of an incorrect repair often exceeds the cost of no action at all. Yet existing automated remediation systems are designed to generate actions rather than to decide whether intervention is warranted, leaving safety as an afterthought enforced by manual approval. This paper makes three contributions to close this gap: (i) we reformulate safe remediation as a risk-constrained intervention decision problem and cast it as a Constrained Markov Decision Proce

Generative AI is changing a basic premise of educational assessment: that submitted work can reliably evidence the human capacities a credential claims to certify. The challenge is not simply whether students use AI, but what remains inferable about learning when some cognitive work has been delegated to a system. This paper develops cognitive stewardship, a framework for AI-mediated assessment that links the learning claim, delegation boundary, evidence standard, and safeguards. We then audit v

Knowledge distillation (KD) is a standard approach for compressing sequence-to-sequence models, but its per-sample effects are rarely examined. On the BanSum Bangla summarization benchmark, we find that standard KD improves ROUGE-L by only +0.0003 over a cross-entropy baseline, and that approximately 51.3% of training samples are estimated to actively harm student validation loss under standard KD. We propose two complementary reliability-aware distillation methods. CHAD (Counterfactual Harm-Awa

This work introduces G-MAD, an open-source framework that uses Arma3 to generate synchronized multi-view RGB-T data for aerial object detection. G-MAD addresses key limitations of real-world aerial dataset construction, including limited viewpoint control, imperfect RGB-T alignment and high annotation cost. The framework supports structured scenario specification, controllable multi-view camera placement, simultaneous visible/thermal capture, and automatic bounding box annotation using engine-le

Large metal-organic framework (MOF) databases support simulation, screening, and machine learning through crystallographic information files (CIFs). Subtle chemical and structural errors in these inputs can compromise downstream results and hinder manual inspection. LLM advances in computational chemistry offer paths beyond predictive screening toward fine-grained diagnosis with evidence-grounded explanations. However, two challenges remain: (i) limited fine-grained attribution: MOF-specific val

Text-guided video editing with diffusion models is impractically slow, hindered by costly multi-step sampling and inversion. We present OSVE, the first framework to successfully adapt one-step Text-to-Image (T2I) models for high-quality video editing, addressing the core challenges of inversion, editability, and temporal consistency. To bypass slow iterative inversion, we train a learnable encoder that predicts the initial noise for each frame in a single forward pass. This encoder is trained wi

This paper introduces Sentence Splitter, a self-supervised framework built upon a T5-based encoder--decoder architecture for uncovering the latent factual structure of natural language sentences. The proposed method identifies the semantic boundary between a descriptive prefix (head) and its factual completion (tail) by formulating sentence splitting as a discrete segmentation problem, where a sentence of length $N$ admits $N$ possible split points but only one recovers the intended head--tail s

LLM preference alignment aims to optimize models toward human preferences across diverse user instructions. Reinforcement learning has become a major post-training approach for this goal, but existing proxy rewards are often outcome-level, mainly evaluating the final response while providing limited guidance for the reasoning trajectory. This can make credit assignment coarse when multiple responses receive similar final scores, leaving trajectory-level preferences under-specified. To address th

Existing symbolic music generation models typically use bars as the basic structural unit. However, human perception of musical phrases often does not align with notated bar lines, leading to long-term structural fragmentation. This paper proposes RPPNet-a two-stage deep learning architecture with variable structural boundaries. It first generates variable-length Rhythm-Pitch Primitive (RPP) sequences, where each RPP encodes note count, rhythm, and contour; then decodes the RPP sequences into co

The integration of AI in Talent Management is a change in the way that organizations are designing their strategies for Talent Retention (TR), engagement, and future strategy. New and innovative tools such as predictive models, sentiment analysis, and personalized career planning have come up, and they offer better ways of addressing retention issues, workforce engagement, and, in general, sustainability. Through the application of predictive analytics, organizations can determine employees' lik

The rise of generative AI (GenAI) in higher education has prompted urgent debates surrounding academic integrity and ethical use. This study examines cross-cultural differences in student perceptions of GenAI use, comparing responses from students at Canadian and South Korean universities. Using a scenario-based survey administered in Fall 2024, we analyzed how students judged the ethicality and rule compliance of AI-assisted coding practices. Results reveal that Canadian students were consisten

Background: Research on transgender people’s health, particularly in reproductive health, has expanded exponentially over the past decades. However, previous studies frequently highlight perceived inaccessibility and gender-exclusivity of reproductive and perinatal care for transgender people. Objective: This observational study used a cross-sectional content analysis to examine online obstetrics, labor and delivery, and pregnancy-related materials from a purposive sample of 178 online hospital

Background: Chronic low back pain (CLBP) is a major global health challenge. While nonpharmacological therapies are recommended, patient compliance is often hindered by kinesiophobia. Virtual reality (VR) offers an immersive, distraction-based approach, but the comparative effectiveness of different VR modalities remains unclear. Objective: The aim of the study is to compare and rank the efficacy of different VR-based training modalities on pain intensity, disability, and kinesiophobia in patien

Modern AI agents rely on elaborate inference harnesses such as Claude Code, Codex, and OpenClaw to drive multi-turn reasoning, tool use, and access to external systems. While powerful, these complex harnesses also make agents hard to train end-to-end with open infrastructure, whose SFT/RL stacks cannot natively express stateful, multi-process harness inference. To address this, we present OpenForgeRL, an open-source framework for training harness-based agents end-to-end in diverse environments.

Large language models are increasingly used in K-12 education, but existing benchmarks mainly test exam question answering rather than understanding how curriculum knowledge is structured and visually presented. We call this capability curriculum cognition. It covers prerequisite chains, concept taxonomies, experiment-concept links, pedagogical sequencing, and visual grounding. We introduce K12-KGraph, a curriculum-aligned knowledge graph extracted from official People's Education Press textbook

Real-world agent learning is often constrained by costly environment interactions, such as running time-consuming experiments or obtaining human feedback. In-context learning offers a highly sample-efficient way for agents to learn from their own interaction histories, but its gains disappear once that experience is removed from the context. Separately, context distillation provides a mechanism for internalizing contextual information into model weights. However, applying it to agents' interacti

Spatial intelligence is essential for agents to move from static semantic understanding toward interacting with the physical world. Many spatial tasks are grounded in continuous visual scenes, where locations, regions, and paths are more naturally expressed by pointing, marking, or drawing than by reporting precise coordinates or discrete textual symbols. Yet existing spatial reasoning benchmarks usually require coordinates, options, or text, creating an answer-interface mismatch for image-gener

On-policy self-distillation (OPSD) is promising as it removes the external teacher required by on-policy distillation (OPD), yet it still needs asymmetric information between teacher and student to ensure that the self-teacher provides a stronger learning signal than the student. Existing methods create this asymmetry either through privileged answers or visual evidence. We ask whether both can be removed, yielding a simpler form of OPSD driven purely by input conditioning. For this purpose, we

Deep research requires agents to find answers that jointly satisfy multiple constraints. Discovering such answers is costly, whereas verifying a candidate can often be decomposed into tractable constraint-wise checks. This discovery--verification asymmetry suggests that a research agent should do more than simply search longer: it should recursively improve its current answer by verifying intermediate results and using the partially verified state to guide subsequent refinement. We introduce ARE

We introduce Tencent WorkBuddy Bench, a multi-domain evaluation suite for coding agents; this report documents its construction methodology, scoring protocol, and a cross-model leaderboard. At its core is a unified evaluation framework for constructing and running distribution-informed coding-agent tasks across four work domains - Code, Web, Office, and Security. Rather than adapting public issue text, every task is reverse-engineered from a real commit, pull request, or business scenario and re

The development of generalizable robotic manipulation policies is inherently bounded by the availability of large-scale, high-fidelity scene data. While recent automated synthesis methods attempt to bridge this gap via text-to-layout hallucination or simplified procedural generation, they frequently suffer from physical implausibility and fail to capture the complex, dense clutter of actual human environments. In this paper, we introduce TableVerse, a fully automated Real2Sim pipeline that shift

Multi-agent interactive world models should not only generate consistent observations, but also maintain world states that persist across agents and evolve across views. Existing autoregressive video diffusion pipelines carry forward observation history as conditioning context, which makes shared state difficult to maintain in multi-agent and multi-view settings. We present WorldWeaver (W^2), a streaming multi-agent video diffusion model that augments rollout with cross-agent world state registe

The recent emergence of vibe-coding workflows is changing what coding agents are expected to do. Instead of merely completing code under fully specified instructions, agents are increasingly expected to transform incomplete product intent into working software by combining various abilities including planning, requirement clarification, tool use, debugging, and repository-level construction. Yet existing benchmarks have not fully caught up with this shift, evaluating agents on static, fully spec

Production AI agents' failures are less often due to an inability to reason well and more often because they cannot manage what is in their reasoning context: conversation histories, large prompts, large tool definitions, and ballooning tool outputs. Agents drown in their own accumulating history while paying a token cost that grows every turn, producing missing recalls within and across conversations. The incumbent response treats this as a storage-and-retrieval problem. We argue that framing i

Background: AI shows substantial potential in health care; however, the absence of standardized evaluation frameworks limits its safe and effective clinical implementation because of inconsistent validation requirements and fragmented ethical principles. Existing guidelines vary in structure, methodological rigor, and ethical integration, creating uncertainty. Objective: This study aimed to systematically map, characterize, and critically analyze existing evaluation frameworks for clinical AI, f

Physics-informed learning of partial differential equations (PDEs) has been dominated by multilayer perceptrons (MLPs), whose spectral bias and dense parameterization limit both accuracy and interpretability. Kolmogorov Arnold Networks (KANs) mitigate these limitations because their learnable spline activations are structurally aligned with the piecewise-polynomial bases of classical discretizations. However, the way a PDE is cast into a loss functional is as decisive as the choice of approximat

Quantum-kernel methods encode a dataset's geometry in a Gram matrix, so learning claims on hardware kernels assume the intended geometry survives execution. We measure that survival for one frozen four-qubit ZZ feature-map kernel on $N=24$ real indoor air-quality windows, reconstructed on ibm_fez (1024 shots per circuit) under baseline, dynamical decoupling alone, and gate twirling alone, each a single non-interleaved job. Every configuration returned a complete, finite, positive-semidefinite Gr

This paper studies the problem of stochastic variance reduction (SVR) for the maximum mean discrepancy (MMD) and correlation alignment (CORAL) loss functions. Although various offline SVR algorithms for these losses have been proposed, these are incompatible with online, distributed, or incremental learning settings. This paper presents Adaptive vaRiance Reduction via Online reWeighting (ARROW), the first online SVR algorithm for the MMD and CORAL for streamed data. The method maintains moving a

Correlation alignment and the maximum mean discrepancy are two widely used distribution-matching frameworks for unsupervised domain adaptation (UDA). However, high variance in these losses has been shown to undermine their effectiveness in minibatch optimisation settings. Furthermore, the losses lack finite-sum structure, which renders them incompatible with classical stochastic variance reduction (SVR) methods. This paper proposes Paired Sampling for Domain Adaptation (PSDA), a novel SVR techni

We study machine unlearning: the removal of memorized training data from a trained model. Specifically, we investigate the algorithmic complexity of certified unlearning from an optimization perspective. We formalize the goal of an unlearning algorithm as simultaneously achieving certified unlearning and optimization accuracy. Utilizing the notion of uniformly convex regularizers, we prove new bounds on the distance between initial and unlearned models using a novel substitute for generalization

Modern power systems increasingly require probabilistic forecasts amid interacting uncertainties from renewable intermittency, flexible demand, market volatility, and weather-dependent generation. However, existing methods often treat multi-scale decomposition, exogenous-variable alignment, and probabilistic output as separate steps, obscuring how predictable structures and uncertainty-bearing fluctuations jointly shape the forecast distribution. This paper proposes a state-space exogenous-conte

Antibodies are essential proteins that play a central role in immune recognition by binding specific antigen molecules. Although recent protein language models have enabled progress in single-chain protein modeling and generation, they often fall short in antigen-specific antibody design, where effective modeling requires explicit pairing between antibody and antigen, particularly at the epitope level. To address these limitations, we introduce AAMFM, an Antigen-specific Antibody Multimodal Foun

‘He who would do good to another must do it in Minute Particulars. General Good is the plea of the scoundrel, hypocrite and flatterer; For Art and Science cannot exist but in minutely organized Particulars’. 1 The poet William Blake expressed himself colourfully but also with good sense. What he writes of ‘Art and Science’ is true also of medical ethics. The papers included in this issue of the Journal of Medical Ethics illustrate this. They concern a range of issues whic

This paper examines the integration of artificial intelligence (AI) into cancer screening programmes, focusing on the associated equity challenges and resource allocation implications. While AI technologies promise significant benefits—such as improved diagnostic accuracy, shorter waiting times, reduced reliance on radiographers, and overall productivity gains and cost-effectiveness—current interventions disproportionately favour those already engaged in screening. This neglect of no

Prominent consequentialists who write about conscientious objection (CO) in healthcare, Julian Savulescu and Udo Schüklenk, both argue for the ‘incompatibility thesis’—the view that healthcare professionals ought never to be entitled to exercise a CO to absolve themselves of the responsibility to perform professional duties. I argue, contra Savulescu and Schüklenk, that consequentialists should advocate for a compromise position under which healthcare professionals are entitl

A number of authors have attempted to provide a consequentialist ethical justification for the accommodation of conscientious objectors. 1 Steve Clarke’s article is the most recent such effort. 2 Clarke essentially suggests that objectors should be accommodated because they would benefit from that accommodation, and that seems to make accommodation ethically desirable. He also acknowledges the empirical evidence demonstrating that accommodating objectors has detrimental health consequences

Clarke’s arguments in favour of permitting conscientious objection (CO) in healthcare and setting up registries are not new, but the consequentialist basis for them and the careful attention to seemingly deontological claims from prominent consequentialists about CO are novel. Though many of the arguments are persuasive, at least among those who already accept consequentialism of the form Clarke articulates, the analysis misses an important feature of CO (and a central point in debates abo

Clarke’s feature article 1 on conscientious objection (CO) in healthcare turns the spotlight on a medically relevant and theoretically ambitious topic. He well outlines background and prominent consequentialist positions towards CO and discusses registers as a promising approach to manage CO in practice that helps for dealing with the ‘incompatibility thesis’ beyond ‘conventional compromise’. 2 From our point of view, a register might be a beneficial way to enable h

Introduction The debate over conscientious objection (CO) in healthcare remains deeply polarised, often framed as a clash between professional obligations and individual moral integrity. In their consequentialist defence of permitting CO, Steve Clarke proposes a region-based register of non-objecting professionals as a mechanism to minimise reliance on referrals—what they aptly term a ‘fight without fighting’ approach. This commentary supports Clarke’s core argument but s

Introduction The permissibility of conscientious objection (CO) in healthcare presents a complex balance of benefits and harms, and philosophers disagree on whether it should be permitted at all. For example, consequentialists such as Udo Schuklenk argue that healthcare professionals should never be allowed to object, a position known as the ‘incompatibility thesis’. 1 Steve Clarke, however, believes that there is a positive consequentialist case for permitting CO in healthcare. 2 Th

In ‘A consequentialist case for permitting conscientious objection in healthcare,’ Steve Clarke proposes a publicly available registry for people seeking certain medical procedures (eg, abortion) to which some clinicians object for moral reasons. 1 The registry would list healthcare professionals (HCPs) available to perform those procedures, and patients could locate clinicians willing to help them and bypass the others. HCPs could also use the registry as an informational source for

Within a consequentialist framework, Steve Clarke opposes the complete exclusion of conscientious objection (CO) rights from medical professional duties. More specifically, he proposes a compromise to reduce the practical and moral costs of direct doctor–patient conflict: a system of region-based, regularly updated registers listing clinicians who do not object to specified CO-permissible procedures, together with a recommendation that patients (or referring clinicians) consult this inform

I feel privileged to receive so many thoughtful commentaries. Four commentaries focus on my proposal for a register system to manage conscientious objection (CO) in healthcare. Reasons of space meant I was unable to develop this proposal to any great extent in my article. 1 Hirschberg et al 2 explore practical and ethical issues involved in implementing a register system. I am pleased to have provoked further discussion of the proposal, and I thank them for their efforts. Boretti 3 offers three

Normothermic regional perfusion during controlled donation after circulatory death has emerged as a means to increase the number and viability of organs available for transplant. Because normothermic regional perfusion uses extracorporeal membrane oxygenation, an intervention used for resuscitation under other circumstances, critics have concluded that organ donation using normothermic regional perfusion violates the dead donor rule. As such, the debate about normothermic regional perfusion has

The article examines China’s vaccination policy, focusing particularly on childhood immunisation and pandemic vaccines. Although China’s laws require individuals to engage in the vaccination decision-making process, the policy does not enforce mandatory vaccination through penalties. Instead, it emphasises informed decision-making, allowing and supporting individuals to choose whether to vaccinate or adopt other preventive measures based on their best health interests. The legal fram

The expressivist objection argues against the legalisation of euthanasia and/or assisted suicide (EAS), on the grounds that EAS laws express a disrespectful judgement of certain classes of people: roughly, that they are better off dead. Recently, some ethicists have argued that laws which require only an informed, competent and voluntary request for EAS would avoid the expressivist objection, since that objection depends on the further requirement of irremediable suffering. In this paper, I argu

‘Live tissue training’, using an anaesthetised live animal substituted for a human patient for the practice of surgical skills, is a controversial topic. Although simulator technologies have developed significantly for inclusion in many areas of surgical education, it is contested that training to manage traumatic injuries requires a model that can bleed and has a dynamic circulation. This article uses the published literature to explore the values at stake regarding live tissue trai

Recruitment challenges in clinical research are widespread, particularly for traditionally under-represented groups. Referral relationships—in which research partners and clinical partners agree to collaborate on selected research studies or programmes, with the expectation that the clinical partners refer appropriate patients as potential participants—may help alleviate these challenges. Referral relationships allow research partners access to expanded and more diverse pools of part

This paper describes a global pattern of declining academic freedom, often driven by powerful political interference with core functions of academic communities. It argues that countering threats to academic freedom requires doubling down on ethics, specifically standards of justice and fairness in pursuing knowledge and assigning warrant to beliefs. Using the example of the selection of a Qatari university to host the 2024 World Congress of Bioethics, the authors urge fairness towards diverse g

Jonathon VandenHombergh argues in this journal that the expressivist objection against assisted death cannot be avoided by appealing to autonomy-centred assisted death laws. He claims that these laws need to appeal to a person’s motivations for requesting assisted death and that judgments that these motivations are reasonable will express a message of disrespect for similarly-situated individuals. I argue that VandenHombergh’s article errs in at least two respects. First, certain kin

Publication date: Available online 20 July 2026 Source: Computers and Education: Artificial Intelligence Author(s): Vasyl G. Kremen, Oleh M. Spirin, Oleksandr I. Liashenko, Svitlana H. Lytvynova, Yurii I. Malovanyi, Olha P. Pinchuk, Oleksandra M. Sokolyuk, Serhiy O. Semerikov

Publication date: November 2026 Source: Technological Forecasting and Social Change, Volume 232 Author(s): Harold Paredes-Frigolett, Andreas Pyka

arXiv:2607.18424v1 Announce Type: new Abstract: Automated analyses of privacy policies enable large-scale assessments of transparency in digital ecosystems, yet existing auditing pipelines remain predominantly English-centric. This limits their ability to systematically evaluate multilingual environments, as in the European Union, where many services disclose privacy practices only in local languages. This paper examines whether large language models (LLMs) can extend privacy policy analysis bey

arXiv:2607.18459v1 Announce Type: new Abstract: The rapid improvement of AI systems has intensified debate about humanity's economic, political, social, and existential future. As AI reshapes expectations about what lies ahead, policy choices and institutional responses will play a crucial role in determining who benefits, who bears the costs, and whether the most serious risks can be mitigated. Africa remains relatively overlooked in these discussions, partly because it is largely a consumer ra

arXiv:2607.18483v1 Announce Type: new Abstract: The digital substrate of states -- data, algorithms, infrastructure, platforms, applications -- is being governed without adequate conceptual foundations. The ability and legitimacy required to govern this substrate, and to govern with it, are simultaneously misaligned, contested, and structurally absent. We introduce digital statecraft as the organising concept for this emerging field, arguing that 'digital' reconstitutes the statecraft question r

arXiv:2607.18506v1 Announce Type: new Abstract: AI alignment is essential for the safe deployment of advanced AI systems. Given that values and preferences change over time, culture, social roles, and context, we need to develop a better understanding of the possible long-term consequences of AI alignment, in particular considering the likely ubiquitous future use of personalized AI assistants. We introduce a flexible and extensible mathematical modelling framework, rooted in social physics, aim

arXiv:2607.18931v1 Announce Type: new Abstract: Web browsers now provide AI-generated news summaries for millions of users. Despite their popularity and influence, we lack a systematic understanding of how these systems transform news before people read it. Through a large-scale audit, we investigate the factual accuracy of browser-based AI summarizers and how they alter the political bias, negative affect, and journalistic writing quality of news. Drawing on 13,777 articles from 15 U.S. news ou

arXiv:2607.19209v1 Announce Type: new Abstract: This full paper in the research-to-practice track presents methods for assessing student teams in tabletop exercises (TTXs). TTXs enable learner teams to prepare for workplace tasks and practice crisis responses, such as resolving cybersecurity incidents. While assessment is essential for determining how well teams achieve learning objectives, the complex, open-ended nature of TTXs often leads to delayed or incomplete feedback. TTX learning platfor

arXiv:2607.19292v1 Announce Type: new Abstract: Current AI safety discourse still focuses disproportionately on visible failures, including obvious harms, dramatic misuse, and hypothetical catastrophic scenarios. That focus is incomplete. In deployed systems, many of the most consequential failures are quieter: plausible rather than spectacular, distributed across components rather than localized in a single output, and normalized by workflows before they are recognized as hazards. We argue that

arXiv:2607.18366v1 Announce Type: cross Abstract: Large language models (LLMs) serving as planners in tool-using autonomous agents introduce dynamic reliability risks in multi-turn execution. While single-turn safety mechanisms are relatively mature, extended interactions reveal structural vulnerabilities where initial alignment degrades over time. This paper empirically characterizes two observed failure modes across multiple state-of-the-art LLMs: Safety Drift, the gradual erosion of declared

arXiv:2607.18446v1 Announce Type: cross Abstract: Purpose: Understanding how much of routine policing involves vulnerable people could inform resourcing, training, and multi-agency response, yet administrative data provide limited insight. We explore whether an LLM-based classification pipeline, developed on open-source US police data, can be adapted to estimate the prevalence of four vulnerability indicators - mental ill health, substance misuse, alcohol dependence, and homelessness - in UK pol

arXiv:2607.18874v1 Announce Type: cross Abstract: Using Unmanned Aerial Vehicle (UAV) for urban sensing has emerged as a powerful paradigm to monitor the status of the city, e.g., air quality and noise levels, through agile aerial crowdsourcing. Despite this potential, existing UAV-based sensing approaches overlook environmental disturbances like wind that drastically impact drone velocity and energy efficiency. Consequently, directly applying existing methods to this joint delivery and sensing

arXiv:2607.19075v1 Announce Type: cross Abstract: The rapid growth of the global aging population presents severe challenges to healthcare systems, necessitating efficient, equitable, and patient-centered care models. While Industrial Engineering and Operations Research (OR) provide robust optimization and decision-support tools to address these multidimensional complexities, current applications often remain fragmented. This paper presents a thematic review of 30 seminal studies at the intersec

arXiv:2605.17086v2 Announce Type: replace-cross Abstract: Automation can displace or complement labour, but this need not be constant across economies. Existing exposure measures typically assign fixed scores to tasks or occupations and capture cross-country variation through employment structure. Here we show that feasible automation depends jointly on task content and country-level conditions. We use a large language model to classify 18,797 work tasks in 124 economies by exposure, labour marg

arXiv:2605.22840v2 Announce Type: replace-cross Abstract: How much thinking can a civilisation do? Kardashev ranked civilisations by the energy they command. This paper borrows his ladder and asks how much machine cognition each rung could support. The arithmetic is deliberately simple. A civilisation has some total power. Only a fraction of that can be spared for computing, and each joule spent buys computation at whatever efficiency the hardware of the day has reached. The product of the three

This paper presents an approach that decouples what to observe, how to observe it, and when observations are required for decision-making in autonomous robots. Situation awareness is essential for efficient and reliable autonomous robot operation, but despite advances toward parallelizing perception and action, key challenges remain in making perception aware of the current context and ensuring observability during action execution. To address this, we explicitly model the decision-making contex

Mental health disorders (e.g., depression, anxiety, post-traumatic stress disorder (PTSD), bipolar disorder) represent a pressing global challenge, and early diagnosis with continuous monitoring is critical for effective intervention. However, traditional diagnostic methods, relying on patient self-reports and clinical interviews, are subjective and often miss subtle early warning signs, a problem compounded by stigma and limited access to care. In response, recent advances in artificial intelli

In many jurisdictions, academia is at the service of legal practice. Law professors write commentaries that summarize the state of the art of doctrine, chiefly of jurisprudence. In the spirit of a proof of concept, using the guarantee of freedom of assembly in the European Convention on Human Rights, we show that this task can be completely outsourced to large language models. Using standard NLP metrics and an LLM as a judge approach, we develop an evaluation pipeline that works without costly h

ChatGPT is increasingly used in EFL writing, yet applied linguistics lacks robust methods for measuring whether human-AI dialogue improves learners’ AI literacy, harm-sensitive reasoning, and independent argumentative writing. This mixed-methods quasi-experimental study examines whether climate-control ChatGPT, a prompted interactional design that requires learners to justify, qualify, counterexample, and re-author their own claims, produces stronger gains than standard ChatGPT use and no-ChatGP

IntroductionNeural Architecture Search (NAS) effectively automates Deep Learning pipeline design but is prone to validation overfitting when applied to complex tasks, such as medical image analysis. To mitigate this and enhance generalization, researchers frequently integrate Deep Ensemble Learning (DEL) and data augmentation into the NAS workflow. However, the assumption that these methodologies do not negatively interfere in high-overfitting scenarios remains unproven.MethodsWe evaluated NAS,

Artificial intelligence (AI) is increasingly shaping how agrifood systems function in the United States, yet the role of federal policy in guiding its use, oversight, and broader consequences is still not well defined. This study explores how current U.S. federal AI policies support-or limit-the advancement of agrifood systems by synthesizing evidence from publicly available policy documents. Using a focused search strategy and qualitative content analysis, we reviewed nine federal policy docume

This retrospective study enrolled 492 patients with scrub typhus in Jiangmen from 2013 to 2025. Clinical and laboratory data were analyzed using univariate logistic regression and LASSO regression to identify risk factors for severe illness. Seven machine-learning models, including logistic regression, support vector machine, random forest, XGBoost, Naive Bayes, k-nearest neighbor, and decision tree, were constructed and externally validated. Variable importance was ranked using SHAP analysis. M

The growing need for secure and convenient authentication methods has led to the increasing popularity of biometric solutions. In addition to traditional and popular methods, such as fingerprint or iris scanning, voice-based approaches are also employed. User identity verification based on voice is conducted using Automatic Speaker Verification (ASV) systems. Despite their many advantages, these systems are sensitive to various types of attacks and acoustic noises, which can reduce verification

Building Automation Systems (BAS) manage critical building functions using protocols such as BACnet/IP, yet defenders have limited tooling and few labeled datasets for detecting BACnet-specific attacks. This work addresses these gaps through three contributions. First, CISA's Zeek BACnet parser is modified to produce a unified per-packet log, simplifying feature engineering for machine-learning (ML) pipelines. Second, a simulated BACnet/IP testbed is developed using bacpypes3 to model a small co

Full-sized humanoid robot capabilities have grown exponentially in recent years, aiming towards general-purpose deployment in human environments. A popular control method used by manufacturers utilizes Virtual Reality for upper-body teleoperation and Reinforcement Learning for lower-body balance and locomotion control. As a result, a single remote operator can see, manipulate, and navigate about a real, distant physical environment. This powerful control stack is often relegated to expensive ful

Overturning a decades-old policy, the US government will soon limit international students to no more than four years in the United States unless they can secure an extension from the US government.

*Nanyang Executive Education reserves the right to change the date, venue and mode of delivery due to unforeseen circumstances or prevailing government advisories.

RGB-D semantic segmentation has achieved remarkable progress, yet most models assume that RGB and depth are always available. In practice, failures or occlusions of surveillance sensors often remove one modality. Although RGB or depth alone can contain sufficient cues, models trained only on full-modality inputs fail to exploit the remaining modality once one is missing, causing severe degradation. We tackle this issue with a simple continued-training paradigm, \emph{Condition Dropout (ConD)}, w

We consider a task planning scenario in which robots sharing a persistent environment are assigned tasks one at a time from a held-out sequence. Standard task planners, lacking foresight of future tasks and inconsiderate of others' constraints, solve each task in isolation, leaving terminal states that increase future cost for all, side effects that compound over lengthy task sequences. To reduce cost over the sequence, a robot must anticipate how its actions now may impact performance on future

While Large Language Models (LLMs) excel at many tasks, they frequently struggle with complex reasoning that requires long-horizon planning and iterative error correction. Furthermore, standard single-stream prompting proves brittle when models encounter novel abstractions or rigorous domain constraints. We introduce PoTRE (Poly-Topological Reasoning Ensembles), a heterogeneous framework that decouples inference into four agents: (1) Adversarial Refinement Agent, (2) Hierarchical strategic Plann

Culturally loaded translation poses unique challenges for machine translation (MT), as meanings are deeply embedded in socio-cultural contexts beyond surface linguistic forms. Although large language models (LLMs) have enabled MT systems to achieve human-like quality in many scenarios, their ability to handle culturally loaded expressions remains underexplored. In this study, we systematically investigate the challenges posed by culturally loaded translation in LLM-based MT systems. We construct

Additive models buy interpretability by forbidding feature interactions, a constraint that neural instantiations enforce architecturally. We introduce the quadrilateral loss, a differentiable penalty that treats additivity as a measurable behavior instead: a second-order mixed difference on pairs of training points swapping one coordinate, which vanishes if and only if the coordinate carries no interaction, remains informative for piecewise-linear networks, and equals in expectation the per-coor

Large Audio Language models (LALMs) have made rapid progress on acoustic understanding, yet they still struggle with fine-grained audio reasoning (e.g., recognizing event order, repetitions and duration). Existing post-training methods heavily rely on expensive external labels or provide only coarse semantic signals. To bridge this gap, we introduce Audio-Zero, the first label-free self-evolution framework in the field of LALMs that improves fine-grained auditory perception and reasoning. Audio-

Active Inference (AIF) frames adaptive behavior as the minimization of expected free energy (EFE), combining epistemic and pragmatic objectives within a single variational principle. We frame AIF as policy optimization and show that, for closed-loop control policies, EFE minimization can be formulated as a convex Markov decision process (MDP). In this formulation, the pragmatic terms are linear in the predictive state marginals and therefore equivalent to reward maximization in a latent MDP, whi

Slice-to-volume reconstruction (SVR) is the standard method for obtaining high-resolution (HR) 3D fetal brain volumes from motion-corrupted 2D MRI slice stacks acquired in multiple orientations. Existing SVR methods are optimized and validated only for clinical-range echo times (TEs), limiting their use at non-clinical TEs and making them incompatible with quantitative T2 mapping, a protocol- and center-independent biomarker of fetal brain maturation requiring HR reconstructions across multiple

The fourth workshop on Explainable AI for the Arts (XAIxArts) continues to bring together and expand a community of researchers and creative practitioners in Human-Computer Interaction (HCI), Interaction Design, AI, eXplainable AI (XAI), and Digital Arts to explore the role of XAI for the Arts. XAI is a key concern of Responsible and Human-Centred AI, emphasising HCI techniques that make opaque AI models more understandable to people. XAIxArts offers a distinctive lens to examine explainability

Contextual entrainment is the tendency of a model to let auxiliary context in its input pull its output, independently of whether that context is relevant, true, or even meaningful. Recently, it has been identified and given a mechanistic account in unimodal language models. Whether and how it manifests in vision-language models (VLMs) is, by contrast, largely unexamined, and the field lacks a purpose-built instrument with which to investigate it. We take the position that studying contextual en

Post-training with evaluator feedback on policy-induced samples serves as a major mechanism for improving large language models. As policies improve, these sampled responses become close in quality. These close candidates create a bottleneck for policy optimization: collapsed relative evaluator score gaps yield weak or misleading policy supervision. We theoretically characterize why these gaps matter through a probability allocation view, showing that the directional gain of shifting probability

AI-based recruitment systems that rely on machine learning models trained on historical CV data, risk perpetuating and amplifying social biases. A key challenge arises in unstructured CV text, where pre-trained language model embeddings may infer sensitive attributes such as gender even after explicit indicators are removed. In this paper, we evaluate nine pre-trained embedding models on the synthetic FairCVdb dataset, analyzing the informativeness of their embeddings for applicant scoring and t

Deep gaze estimation works well in controlled capture but degrades in unconstrained settings, where systems must reject unreliable predictions. Single-pass uncertainty (e.g., heteroscedastic regression) infers uncertainty from pixels without explicit input-validity cues, while sampling based methods are often too costly for real time use. We propose Factor-Informed Uncertainty Distillation (FIUD), a teacher-student framework that aligns uncertainty with interpretable image-quality failure modes.

Long-horizon tasks require sustained perception, reasoning, and exploration, and are a persistent challenge for large language model (LLM) agents. This gap is reflected in their limited performance on continual learning benchmarks such as ARC-AGI-3, especially when models are evaluated out of the box. Various agent harnesses have been proposed to close this gap, and each commits to a strategy for handling long sequences of observations, i.e., what information to save from the environment and how

Perturbation techniques that turn unsuccessful jailbreak prompts into successful ones are continuously evolving, constituting a major security threat to LLM safety. In this paper, we investigate the internal representations of such string-level perturbed jailbreak inputs in the small weight models of the Qwen-2.5-1.5B/-3B/-7B-Instruct and Llama-3.2-1B/-3B/-3.1-8B-Instruct families. We select two representation spaces: the last-layer-last-token embedding space and the top-50 next-token probabilit

With generative AI (GenAI) entering classrooms the question to which teaching approach best supports metacognitive skill acquisition in AI-assisted learning becomes pressing. In this short-term longitudinal study we investigate two contrasting approaches: experiential learning encompassing hands-on approaches and instructional learning such as classical lectures. We conducted a quasi-experiment with 126 university students from a first-year engineering course which were distributed across the tw

Deepfake news refers to AI-generated (or AI ma-nipulated) multimedia content intentionally generated to deceive audiences by manipulating the facial expressions, or speech while maintaining the realistic appearance. The rapid progress of generative AI has made the synthesis of highly realistic fake videos and cloned voices widely accessible, posing a serious threat to the authenticity of digital news media. This paper presents a multi-modal framework that discerns the authenticity of video conte

The influence of linguistic bias in online news articles is a growing concern, particularly in the context of shaping public opinion and rising political polarization. While there is a growing body of literature on indicators for misinformation, none have been sufficiently tested to counteract the influence of media bias. Hence, we design six indicators (Bias Bar, Bias Gauge, Bias Highlights, Political Scale, Sentiment Scale, and Trust Score) and test their impact on linguistic bias detection an

Robust out-of-the-box performance is essential for the clinical deployment of deep learning models in medical imaging. An important but underexplored factor affecting model generalisability is intensity normalisation, particularly for magnetic resonance imaging (MRI), where image intensities vary across scanners and protocols. In this study, we systematically compared seven normalisation methods and their impact on the performance of a 3D U-Net model for meniscus segmentation from knee MRI. The

Design rule check (DRC) closure remains a major bottleneck in advanced-node physical design. Although detailed routers are rule-aware, residual design rule violations (DRVs) often require manual engineering change order iterations. Automating this process is challenging because repairs must account for complex geometric interactions, preserve circuit connectivity, and avoid introducing new violations. We present EvoDRC, a skill-evolution framework for agentic block-level DRC repair. EvoDRC initi

An increase in advanced Android malware requires the use of deep learning models, which can run on Android devices. But there is a trade-off between security and energy use, as strong detection models can drain the battery of devices fast. This work tests different Multi-Layer Perceptron (MLP) model configurations to balance malware detection performance and energy efficiency. In this work, we compared standard FP32 models with optimized INT8 quantized neural networks with different model depths

tiny_schiller closes the small-language-model prototyping, fine-tuning, education, and research gap for German literary text, providing a single-file, drop-in counterpart to Karpathy's tiny_shakespeare. The available German literary corpora are larger and richer, but require parser engineering before a single line of training or fine-tuning code can run. tiny_schiller is a 2.07-megabyte single file of eleven public-domain Schiller dramas, sourced from DraCor's GerDraCor export (CC0) and processe

Dynamic manufacturing environments require multi-agent systems to coordinate effectively under frequent operational disturbances such as machine failures, urgent job arrivals, and processing time variations. Existing multi-agent reinforcement learning approaches treat each disturbance episode independently, discarding valuable coordination experience that could accelerate future adaptation. In this paper, we propose a Graph-Structured Experiential Memory (GSEM) framework for multi-agent coordina

AI researchers describe state-of-the-art models as one thing repeated at scale: the Transformer, wired identically for text, pixels, or speech. Neuroscientists describe the cortex as a mosaic - dense Layer 4 in visual cortex for spatial encoding, thick Layers 5/6 in motion cortex for temporal integration - different jobs solved by different structures. This paper argues the gap is a structural error, not a stylistic one, and is measurable. A century of cytoarchitecture, from Brodmann to single-c

Shippers are beginning to delegate carrier selection to large language model (LLM) agents. We ask what such delegation does to a freight matching market, and which platform design choices contain it. We carried out agent-based simulations in which fifty shipper agents, built on commercial LLMs from OpenAI (GPT), Anthropic (Claude), and Google (Gemini), procure truckload capacity for thirty days. The market implements the rules of digital freight matching: each load is offered down the shipper's

As AI agents become integral to business workflows, establishing guiding user experience (UX) principles is crucial for ensuring user trust and successful adoption. To address this, our study uses a multi-method approach - combining participatory design workshop, paper-and-pencil, expert review, meta-analysis, and in-depth interviews - to identify and validate a design framework of eight core UX principles for human-AI agent interaction in the workplace. Together with their underlying criteria,

Most existing LLM safety evaluation and defense methods follow a static formulation: jailbreak vulnerabilities are evaluated with fixed attack methods, and guardrails are trained on fixed malicious prompt datasets. However, real-world adversaries continuously evolve their capabilities and expand the attack space. To address this challenge, we propose DARWIN, an evolutionary attack-defense framework that formulates jailbreaking as an open-ended evolution process and continuously updates guardrail

Breastfeeding provides critical insight into infant feeding competence and physiological health, yet objective monitoring remains difficult due to the intimate and internal nature of feeding. We present Mammal, a caregiver-worn computational garment that unobtrusively monitors breastfeeding without attaching sensors to the infant. Mammal leverages inter-body signal transmission through natural mouth-to-breast contact to capture infant cardiac and feeding-related acoustic signals on the caregiver

Quantum federated learning enables distributed clients to train quantum neural networks without sharing local data, making it promising for privacy-aware intelligent services. Intelligent services in this context refer to privacy-sensitive distributed decision systems, such as fraud detection and genomic classification, where reliable and fair client-level learning is as important as the accuracy of the aggregate model. However, heterogeneous client data and noisy quantum optimization often caus

Support-seeker' active engagement with received comments, e.g., showing positive sentiment and willingness to improve in the replies, can indicate the success of online health communities (OHCs). Their participation in other communities may correlate with their engagement in OHCs but remains under-explored. This paper analyzes 26, 725 seekers' behaviors in the other 40, 479 communities and their associations with seekers' engagement with received comments under their 78, 501 posts in 30 Baidu Ti