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The Best T-Shirt for Dad-Bods Is on a Great Deal Right Now

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The Best T-Shirt for Dad-Bods Is on a Great Deal Right Now


This includes me. I’ve been wearing the heck out of True Classic’s black crew-neck, in the belief that the shirt makes a virtue out of a life well-enjoyed. And it apparently also includes WIRED senior editor Jeremy White. “To my shame,” averred White, “the ‘dad bod’ fit is perfect and the neck size is not too big, not too small, just right.”

The True Classic is not fancy fabric, just a basic cotton-poly blend like a lot of the T-shirts currently on the market. Which is to say a bit soft and a bit stretchy, kind of a gym shirt or a muckaround shirt. It’s comfortable, but not embarrassing.

If you have a dad-bod in your life, this may be the time for a gift of a six-pack for those without defined six-packs. You don’t have to tell him why you bought it.

Oh, but note, the current flash deal says it’s “58 percent off.” This is only true when compared to buying six single shirts. However, the flash deal as of December 10 is an additional 25 percent off the standard bulk discount, making for a pretty nice price. When the current $75 flash deal expires, there’s a good chance it’ll be replaced by another flash deal on True Classic’s most popular shirt, but … no guarantees.



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Many States Say They’ll Defy RFK Jr.’s Changes to Hepatitis B Vaccination

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Many States Say They’ll Defy RFK Jr.’s Changes to Hepatitis B Vaccination


Most Democratic-led states say they will continue to universally recommend and administer the hepatitis B vaccine at birth, despite new guidance against it issued last week by a federal vaccine advisory panel handpicked by Health and Human Services secretary Robert F. Kennedy Jr.

The Northeast Public Health Collaborative and the West Coast Health Alliance, which formed earlier this year in response to Kennedy’s concerning overhaul of vaccine policy, along with a other blue states, plan to to defy the latest recommendations made by the Centers for Disease Control and Prevention’s Advisory Committee on Immunization Practices, or ACIP.

Hepatitis B is a serious, incurable infection that can lead to liver damage and liver cancer. It can be passed from mother to child during delivery, and without vaccination, about 90 percent of infants infected at birth develop chronic hepatitis B infection. Among those with chronic infection, 25 percent will die prematurely from the disease.

Since 1991, ACIP and the American Academy of Pediatrics have recommended a universal dose of the hepatitis B vaccine within 24 hours after birth. The sooner a newborn gets the vaccine, the higher the chance of preventing chronic infection. The birth dose is credited with dramatically lowering infection rates in children. Yet last week, Kennedy’s newly formed ACIP, which includes several vaccine skeptics, overturned that 30-year precedent. In June, Kennedy announced a “clean sweep” of ACIP, removing all of its previous 17 experts and replacing them with new members of his choosing.

During a chaotic two-day meeting that was riddled with misinformation, the committee voted to recommend the hepatitis B vaccine at birth only for infants born to pregnant people who test positive for the virus or whose status is unknown. For those whose hepatitis B status is negative, the panel recommended “individual-based decision-making”—meaning parents should talk with their doctors about vaccination first. If the baby does not receive the first dose at birth, the panel suggests delaying the first dose until the child is at least two months old.

Medical experts have decried the decision, saying that screening across the US is imperfect and does not catch all infections. Half of people who have it don’t know that they’re infected.

“The United States went through several iterations of recommendations for vaccinating against hepatitis B that were all risk-based. We tried screening mothers, we tried only vaccinating babies born to mothers living with hepatitis B, and they all failed. The universal birth dose was the ultimate success and the reason why we’ve seen childhood hepatitis B cases decline by 99 percent since we implemented it,” says Michaela Jackson, director of prevention policy at the Hepatitis B Foundation.



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Vine-inspired robotic gripper gently lifts heavy and fragile objects

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Vine-inspired robotic gripper gently lifts heavy and fragile objects


In the horticultural world, some vines are especially grabby. As they grow, the woody tendrils can wrap around obstacles with enough force to pull down entire fences and trees.

Inspired by vines’ twisty tenacity, engineers at MIT and Stanford University have developed a robotic gripper that can snake around and lift a variety of objects, including a glass vase and a watermelon, offering a gentler approach compared to conventional gripper designs. A larger version of the robo-tendrils can also safely lift a human out of bed.

The new bot consists of a pressurized box, positioned near the target object, from which long, vine-like tubes inflate and grow, like socks being turned inside out. As they extend, the vines twist and coil around the object before continuing back toward the box, where they are automatically clamped in place and mechanically wound back up to gently lift the object in a soft, sling-like grasp.

The researchers demonstrated that the vine robot can safely and stably lift a variety of heavy and fragile objects. The robot can also squeeze through tight quarters and push through clutter to reach and grasp a desired object.

The team envisions that this type of robot gripper could be used in a wide range of scenarios, from agricultural harvesting to loading and unloading heavy cargo. In the near term, the group is exploring applications in eldercare settings, where soft inflatable robotic vines could help to gently lift a person out of bed.

“Transferring a person out of bed is one of the most physically strenuous tasks that a caregiver carries out,” says Kentaro Barhydt, a PhD candidate in MIT’s Department of Mechanical Engineering. “This kind of robot can help relieve the caretaker, and can be gentler and more comfortable for the patient.”

Barhydt, along with his co-first author from Stanford, O. Godson Osele, and their colleagues, present the new robotic design today in the journal Science Advances. The study’s co-authors are Harry Asada, the Ford Professor of Engineering at MIT, and Allison Okamura, the Richard W. Weiland Professor of Engineering at Stanford University, along with Sreela Kodali and Cosmia du Pasquier at Stanford University, and former MIT graduate student Chase Hartquist, now at the University of Florida, Gainesville.

Open and closed

As they extend, the vines twist and coil around the object before continuing back toward the box, where they are automatically clamped in place and mechanically wound back up to gently lift the object in a soft, sling-like grasp.

Credit: Courtesy of the researchers

The team’s Stanford collaborators, led by Okamura, pioneered the development of soft, vine-inspired robots that grow outward from their tips. These designs are largely built from thin yet sturdy pneumatic tubes that grow and inflate with controlled air pressure. As they grow, the tubes can twist, bend, and snake their way through the environment, and squeeze through tight and cluttered spaces.

Researchers have mostly explored vine robots for use in safety inspections and search and rescue operations. But at MIT, Barhydt and Asada, whose group has developed robotic aides for the elderly, wondered whether such vine-inspired robots could address certain challenges in eldercare — specifically, the challenge of safely lifting a person out of bed. Often in nursing and rehabilitation settings, this transfer process is done with a patient lift, operated by a caretaker who must first physically move a patient onto their side, then back onto a hammock-like sheet. The caretaker straps the sheet around the patient and hooks it onto the mechanical lift, which then can gently hoist the patient out of bed, similar to suspending a hammock or sling.

The MIT and Stanford team imagined that as an alternative, a vine-like robot could gently snake under and around a patient to create its own sort of sling, without a caretaker having to physically maneuver the patient. But in order to lift the sling, the researchers realized they would have to add an element that was missing in existing vine robot designs: Essentially, they would have to close the loop.

Most vine-inspired robots are designed as “open-loop” systems, meaning they act as open-ended strings that can extend and bend in different configurations, but they are not designed to secure themselves to anything to form a closed loop. If a vine robot could be made to transform from an open loop to a closed loop, Barhydt surmised that it could make itself into a sling around the object and pull itself up, along with whatever, or whomever, it might hold.

For their new study, Barhydt, Osele, and their colleagues outline the design for a new vine-inspired robotic gripper that combines both open- and closed-loop actions. In an open-loop configuration, a robotic vine can grow and twist around an object to create a firm grasp. It can even burrow under a human lying on a bed. Once a grasp is made, the vine can continue to grow back toward and attach to its source, creating a closed loop that can then be retracted to retrieve the object.

“People might assume that in order to grab something, you just reach out and grab it,” Barhydt says. “But there are different stages, such as positioning and holding. By transforming between open and closed loops, we can achieve new levels of performance by leveraging the advantages of both forms for their respective stages.”

Gentle suspension

As a demonstration of their new open- and closed-loop concept, the team built a large-scale robotic system designed to safely lift a person up from a bed. The system comprises a set of pressurized boxes attached on either end of an overhead bar. An air pump inside the boxes slowly inflates and unfurls thin vine-like tubes that extend down toward the head and foot of a bed. The air pressure can be controlled to gently work the tubes under and around a person, before stretching back up to their respective boxes. The vines then thread through a clamping mechanism that secures the vines to each box. A winch winds the vines back up toward the boxes, gently lifting the person up in the process.

“Heavy but fragile objects, such as a human body, are difficult to grasp with the robotic hands that are available today,” Asada says. “We have developed a vine-like, growing robot gripper that can wrap around an object and suspend it gently and securely.”

“There’s an entire design space we hope this work inspires our colleagues to continue to explore,” says co-lead author Osele. “I especially look forward to the implications for patient transfer applications in health care.”

“I am very excited about future work to use robots like these for physically assisting people with mobility challenges,” adds co-author Okamura. “Soft robots can be relatively safe, low-cost, and optimally designed for specific human needs, in contrast to other approaches like humanoid robots.”

While the team’s design was motivated by challenges in eldercare, the researchers realized the new design could also be adapted to perform other grasping tasks. In addition to their large-scale system, they have built a smaller version that can attach to a commercial robotic arm. With this version, the team has shown that the vine robot can grasp and lift a variety of heavy and fragile objects, including a watermelon, a glass vase, a kettle bell, a stack of metal rods, and a playground ball. The vines can also snake through a cluttered bin to pull out a desired object.

“We think this kind of robot design can be adapted to many applications,” Barhydt says. “We are also thinking about applying this to heavy industry, and things like automating the operation of cranes at ports and warehouses.”

This work was supported, in part, by the National Science Foundation and the Ford Foundation.



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Security pros should prepare for tough questions on AI in 2026 | Computer Weekly

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Security pros should prepare for tough questions on AI in 2026 | Computer Weekly


For the last couple of years, many organisations have comforted themselves with a single slide or paragraph that reads along the lines of “We use artificial intelligence [AI] responsibly.” That line might have been enough to get through informal supplier due diligence in 2023 but it will not survive the next serious round of tenders.

Enterprise buyers, particularly in government, defence and critical national infrastructure (CNI), are now using AI heavily themselves. They understand the risk language. They are making connections between AI, data protection, operational resilience and supply chain exposure. Their procurement teams will no longer ask whether you use AI. They will ask how you govern it.

The AI question is changing

In practical terms, the questions in requests for proposals (RFPs) and invitations to tender (ITTs) are already shifting.

Instead of the soft “Do you use AI in your services?”, you can expect wording more like:

“Please describe your controls for generative AI, including data sovereignty, human oversight, model accountability and compliance with relevant data protection, security and intellectual property obligations.”

Underneath that line sit a number of very specific concerns.

Where is client or citizen data going when you use tools such as ChatGPT, Claude or other hosted models?

Which jurisdictions does that data transit or reside in?

How is AI assisted output checked by humans before it influences a critical decision, a piece of advice, or a safety related activity?

Who owns and can reuse the prompts and outputs, and how is confidential or classified material protected in that process?

The generic boilerplate no longer answers any of those points. In fact, it advertises that there is no structured governance at all.

The uncomfortable reality in many service providers is that if you strip away the marketing language, most professional services organisations are using AI in a very familiar pattern.

Individual staff have adopted tools to speed up drafting, analysis or coding. Teams share tips informally. Some groups have written local guidance on what is acceptable. A few policies have been updated to mention AI.

What is often missing is evidence

Very few organisations can say with certainty which client engagements involved AI assistance, what categories of data were used in prompts, which models or providers were involved, where those providers processed and stored the information, and how review and approval of AI output was recorded.

From a governance, risk and compliance (GRC) perspective, that is a problem. It touches data protection, information security, records management, professional indemnity, and in some sectors safety and mission assurance. It also follows you into every future tender, because buyers are increasingly asking about past AI related incidents, near misses and lessons learned.

Why this matters so much in government, defence and CNI

In central and local government, policing and justice, AI is increasingly influencing decisions that affect citizens directly. That might be in triaging cases, prioritising inspections, supporting investigations or shaping policy analysis.

When AI is involved in those processes, public bodies must be able to show lawful basis, transparency, fairness and accountability. That means understanding where AI is used, how it is supervised, and how outputs are challenged or overridden. Suppliers into that space are expected to demonstrate the same discipline.

In the defence and wider national security supply chain, the stakes are even higher. AI is already appearing in logistics optimisation, predictive maintenance, intelligence fusion, training environments and decision support. Here the questions are not just about privacy or intellectual property. They are about reliability under stress, robustness against manipulation, and assurance that sensitive operational data is not leaking into systems outside sovereign or approved control.

CNI operators have a similar challenge. Many are exploring AI for anomaly detection in OT environments, demand forecasting, and automated response. A failure or misfire here can quickly turn into a service outage, safety incident or environmental impact. Regulators will expect operators and their suppliers to treat AI as an element of operational risk, not a novelty tool.

In all of these sectors, the organisations that cannot explain their AI governance will quietly fall down the scoring matrix.

Turning AI governance into a commercial advantage

The good news is that this picture can be turned around. AI governance, done properly, is not about slowing down or banning innovation. It is about putting enough structure around AI use that you can explain it, defend it and scale it.

A practical starting point is an AI procurement readiness assessment. At Advent IM, we describe this in very simple terms: can you answer the questions your next major client is going to ask?

That involves mapping where AI is used across your services, identifying which workflows touch client or citizen data, understanding which third party models or platforms are involved, and documenting how humans supervise, approve or override AI outputs. It also means looking at how AI fits into your existing incident response, data breach handling and risk registers.

From there, you can develop a short, evidence-based narrative that fits neatly into RFP and ITT responses, backed by policies, process descriptions and example logs. Instead of hand waving about responsible AI, you can present a clear story about how AI is governed as part of your wider security and GRC framework.

ISO 42001 as the backbone for AI governance

ISO IEC 42001, the new standard for AI management systems, gives this work structure. It provides a framework for managing AI across its lifecycle, from design and acquisition through to operation, monitoring and retirement.

For organisations that already operate an information security management system (ISMS), quality management system or privacy information management system, 42001 should not feel alien. It can be integrated with existing ISO 27001, 9001 and 27701 arrangements. Roles such as senior information risk owner (SIRO), information asset owner (IAO), data protection officer, heads of service and system owners simply gain clearer responsibilities for AI related activities.

Aligning with 42001 also signals to clients, regulators and insurers that AI is not being treated informally. It shows that there are defined roles, documented processes, risk assessments, monitoring and continual improvement around AI. Over time, that alignment can be taken further into formal certification for those organisations where it makes commercial sense.

Bringing people, process and assurance together

Policies and frameworks are only part of the picture. The real test is whether people across the organisation understand what is permitted, what is prohibited, and when they need to ask for help.

AI security and governance training is therefore critical. Staff need to understand how to handle prompts that contain personal or sensitive data, how to recognise when AI outputs might be biased or incomplete, and how to record their own oversight. Managers need to know how to approve use cases, sign off risk assessments and respond to incidents involving AI.

Bringing all of this together gives you something very simple but very powerful. When the next RFP or ITT lands with a page of questions about AI, you will not be scrambling for ad hoc answers. You will be able to describe an AI management system that is aligned to recognised standards, integrated with your existing security and GRC practices, and backed by training and evidence.

In a crowded services market, that may be the difference between being seen as an interesting supplier and being trusted with high value, sensitive work.



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