Category: Academic Reportage

Source: The Conversation – USA (3) – By Jeremy David Engels, Liberal Arts Endowed Professor of Communication, Penn State

A popular New Year’s resolution is to take up meditation – specifically mindfulness meditation. This is a healthy choice.

Regular mindfulness practice has been linked to many positive health benefits, including reduced stress and anxiety, better sleep and quicker healing after injury and illness. Mindfulness can help us to be present in a distracted world and to feel more at home in our bodies, and in our lives.

There are many different types of meditation. Some mindfulness practices ask meditators simply to sit with whatever thoughts, sensations or emotions arise without immediately reacting to them. Such meditations cultivate focus, while granting more freedom in how we respond to whatever events life throws at us.

Other meditations ask practitioners to deliberately focus on one emotion – for example, gratitude or love – to deepen the experience of that emotion. The purpose behind this type of meditation is to bring more gratitude, or more love, into one’s life. The more people meditate on love, the easier it is to experience this emotion even when not meditating.

One such meditation is known as “metta,” or loving-kindness. As a scholar of communication and mindfulness, as well as a longtime meditation teacher, I have both studied and practiced metta. Here is what loving-kindness means and how to try it out for yourself:

Unbounded, universal love

Loving-kindness, or metta, is the type of love which is practiced by Buddhists around the world. Like many forms of meditation today, there are both secular and religious forms of the practice. One does not need to be a Buddhist to practice loving-kindness. It is for anyone and everyone who wants to live more lovingly.

Loving-kindness, the feeling cultivated in metta meditation, is very different from romantic love. In the ancient Pali language, the word “metta” has two root meanings: The first is “gentle,” in the sense of a gentle spring rain that falls on young plants, nourishing them without discrimination. The second is “friend.”

Metta is limitless and unbounded love; it is gentle presence and universal friendliness. Metta practice is meant to grow people’s ability to be present for themselves and others without fail.

Metta is not reciprocal or conditional. It does not discriminate between us and them, rich and poor, educated and uneducated, popular or unpopular, worthy and unworthy. To practice metta is to give what I describe in my research as “the rarest and most precious gift” – a gift of love offered without any expectation of it being returned.

How to practice loving-kindness meditation

In the fifth century, a Sri Lankan monk, Buddhaghosa, composed an influential meditation text called the “Visuddhimagga,” or “The Path of Purification.” In this text, Buddhaghosa provides instructions for how to practice loving-kindness meditation. Contemporary teachers tend to adapt and modify his instructions.

The practice of loving-kindness often involves quietly reciting to oneself several traditional phrases designed to evoke metta, and visualizing the beings who will receive that loving-kindness.

Traditionally, the practice begins by sending loving kindness to ourselves. It is typical during this meditation to say:

May I be filled by loving-kindness

May I be safe from inner and outer dangers
May I be well in body and mind

May I be at ease and happy

After speaking these phrases, and feeling the emotions they evoke, next it’s common to direct loving-kindness toward someone – or something – else: It can be a beloved person, a dear friend, a pet, an animal, a favorite tree. The phrases become:

May you be filled by loving-kindness

May you be safe from inner and outer dangers

May you be well in body and mind

May you be at ease and happy

Next, this loving-kindness is directed to a wider circle of friends and loved ones: “May they …”

The final step is to gradually expand the circle of well wishes: including the people in our community and town, people everywhere, animals and all living beings, and the whole Earth. This last round of recitation begins: “May we …”

In this way, loving-kindness meditation practice opens the heart further and further into life, beginning with the meditator themselves.

Loving-kindness and mindful democracy

Clinical research shows that loving-kindness meditation has a positive effect on mental health, including lessening anxiety and depression, increasing life satisfaction and improving self-acceptance while reducing self-criticism. There is also evidence that loving-kindness meditation increases a sense of connection with other people.

The benefits of loving-kindness meditation are not just for the individual. In my research, I show that there are also tremendous benefits for society as a whole. Indeed, the practice of democracy requires us to work together with friends, strangers and even purported “opponents.” This is difficult to do if our hearts are full of hatred and resentment.

Each time meditators open their hearts in metta meditation, they prepare themselves to live more loving lives: for their own selves, and for all living beings.

Jeremy David Engels does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

– ref. What loving-kindness meditation is and how to practice it in the new year – https://theconversation.com/what-loving-kindness-meditation-is-and-how-to-practice-it-in-the-new-year-270984

Source: The Conversation – USA – By Thomas Şerban von Davier, Affiliated Faculty Member, Carnegie Mellon Institute for Strategy and Technology, Carnegie Mellon University

In artificial intelligence, 2025 marked a decisive shift. Systems once confined to research labs and prototypes began to appear as everyday tools. At the center of this transition was the rise of AI agents – AI systems that can use other software tools and act on their own.

While researchers have studied AI for more than 60 years, and the term “agent” has long been part of the field’s vocabulary, 2025 was the year the concept became concrete for developers and consumers alike.

AI agents moved from theory to infrastructure, reshaping how people interact with large language models, the systems that power chatbots like ChatGPT.

In 2025, the definition of AI agent shifted from the academic framing of systems that perceive, reason and act to AI company Anthropic’s description of large language models that are capable of using software tools and taking autonomous action. While large language models have long excelled at text-based responses, the recent change is their expanding capacity to act, using tools, calling APIs, coordinating with other systems and completing tasks independently.

This shift did not happen overnight. A key inflection point came in late 2024, when Anthropic released the Model Context Protocol. The protocol allowed developers to connect large language models to external tools in a standardized way, effectively giving models the ability to act beyond generating text. With that, the stage was set for 2025 to become the year of AI agents.

The milestones that defined 2025

The momentum accelerated quickly. In January, the release of Chinese model DeepSeek-R1 as an open-weight model disrupted assumptions about who could build high-performing large language models, briefly rattling markets and intensifying global competition. An open-weight model is an AI model whose training, reflected in values called weights, is publicly available. Throughout 2025, major U.S. labs such as OpenAI, Anthropic, Google and xAI released larger, high-performance models, while Chinese tech companies including Alibaba, Tencent, and DeepSeek expanded the open-model ecosystem to the point where the Chinese models have been downloaded more than American models.

Another turning point came in April, when Google introduced its Agent2Agent protocol. While Anthropic’s Model Context Protocol focused on how agents use tools, Agent2Agent addressed how agents communicate with each other. Crucially, the two protocols were designed to work together. Later in the year, both Anthropic and Google donated their protocols to the open-source software nonprofit Linux Foundation, cementing them as open standards rather than proprietary experiments.

These developments quickly found their way into consumer products. By mid-2025, “agentic browsers” began to appear. Tools such as Perplexity’s Comet, Browser Company’s Dia, OpenAI’s GPT Atlas, Copilot in Microsoft’s Edge, ASI X Inc.’s Fellou, MainFunc.ai’s Genspark, Opera’s Opera Neon and others reframed the browser as an active participant rather than a passive interface. For example, rather than helping you search for vacation details, it plays a part in booking the vacation.

At the same time, workflow builders like n8n and Google’s Antigravity lowered the technical barrier for creating custom agent systems beyond what has already happened with coding agents like Cursor and GitHub Copilot.

New power, new risks

As agents became more capable, their risks became harder to ignore. In November, Anthropic disclosed how its Claude Code agent had been misused to automate parts of a cyberattack. The incident illustrated a broader concern: By automating repetitive, technical work, AI agents can also lower the barrier for malicious activity.

This tension defined much of 2025. AI agents expanded what individuals and organizations could do, but they also amplified existing vulnerabilities. Systems that were once isolated text generators became interconnected, tool-using actors operating with little human oversight.

What to watch for in 2026

Looking ahead, several open questions are likely to shape the next phase of AI agents.

One is benchmarks. Traditional benchmarks, which are like a structured exam with a series of questions and standardized scoring, work well for single models, but agents are composite systems made up of models, tools, memory and decision logic. Researchers increasingly want to evaluate not just outcomes, but processes. This would be like asking students to show their work, not just provide an answer.

Progress here will be critical for improving reliability and trust, and ensuring that an AI agent will perform the task at hand. One method is establishing clear definitions around AI agents and AI workflows. Organizations will need to map out exactly where AI will integrate into workflows or introduce new ones.

Another development to watch is governance. In late 2025, the Linux Foundation announced the creation of the Agentic AI Foundation, signaling an effort to establish shared standards and best practices. If successful, it could play a role like the World Wide Web Consortium in shaping an open, interoperable agent ecosystem.

There is also a growing debate over model size. While large, general-purpose models dominate headlines, smaller and more specialized models are often better suited to specific tasks. As agents become configurable consumer and business tools, whether through browsers or workflow management software, the power to choose the right model increasingly shifts to users rather than labs or corporations.

The challenges ahead

Despite the optimism, significant socio-technical challenges remain. Expanding data center infrastructure strains energy grids and affects local communities. In workplaces, agents raise concerns about automation, job displacement and surveillance.

From a security perspective, connecting models to tools and stacking agents together multiplies risks that are already unresolved in standalone large language models. Specifically, AI practitioners are addressing the dangers of indirect prompt injections, where prompts are hidden in open web spaces that are readable by AI agents and result in harmful or unintended actions.

Regulation is another unresolved issue. Compared with Europe and China, the United States has relatively limited oversight of algorithmic systems. As AI agents become embedded across digital life, questions about access, accountability and limits remain largely unanswered.

Meeting these challenges will require more than technical breakthroughs. It demands rigorous engineering practices, careful design and clear documentation of how systems work and fail. Only by treating AI agents as socio-technical systems rather than mere software components, I believe, can we build an AI ecosystem that is both innovative and safe.

Thomas Şerban von Davier does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

– ref. AI agents arrived in 2025 – here’s what happened and the challenges ahead in 2026 – https://theconversation.com/ai-agents-arrived-in-2025-heres-what-happened-and-the-challenges-ahead-in-2026-272325

Source: The Conversation – USA – By Alexander Lowie, Postdoctoral associate in Classical and Civic Education, University of Florida

Stewart Rhodes, the founder of the Oath Keepers, a far-right militia, announced in November 2025 that he will relaunch the group after it disbanded following his prison sentence in 2023.

Rhodes was sentenced to 18 years in prison for seditious conspiracy and other crimes committed during the U.S. Capitol riot on Jan. 6, 2021.

In January 2025, President Donald Trump granted clemency to the over 1,500 defendants convicted of crimes connected to the storming of the Capitol.

Trump did not pardon Rhodes – or some others found guilty of the most serious crimes on Jan. 6. He instead commuted Rhodes’ sentence to time served. Commutation only reduces the punishment for a crime, whereas a full pardon erases a conviction.

As a political anthropologist I study the Patriot movement, a collection of anti-government right-wing groups that include the Proud Boys, Oath Keepers and Moms for Liberty. I specialize in alt-right beliefs, and I have interviewed people active in groups that participated in the Capitol riot.

Rhodes’ plans to relaunch the Oath Keepers, largely composed of current and former military veterans and law enforcement officers, is important because it will serve as an outlet for those who have felt lost since his imprisonment. The group claimed it had over 40,000 dues-paying members at the height of its membership during Barack Obama’s presidency. I believe that many of these people will return to the group, empowered by the lack of any substantial punishment resulting from the pardons for crimes committed on Jan. 6.

In my interviews, I’ve found that military veterans are treated as privileged members of the Patriot movement. They are honored for their service and military training. And that’s why I believe many former Oath Keepers will rejoin the group – they are considered integral members.

Their oaths to serving the Constitution and the people of the United States are treated as sacred, binding members to an ideology that leads to action. This action includes supporting people in conflicts against federal agencies, organizing citizen-led disaster relief efforts, and protesting election results like on Jan. 6. The members’ strength results from their shared oath and the reverence they feel toward keeping it.

Who are the Oath Keepers?

Rhodes joined the Army after high school and served for three years before being honorably discharged after a parachuting accident in 1986. He then attended the University of Nevada and later graduated from Yale Law School in 2004. He founded the Oath Keepers in 2009.

Oath Keepers takes its name from the U.S military Oath of Enlistment, which states:

“I, , do solemnly swear (or affirm) that I will support and defend the Constitution of the United States against all enemies, foreign and domestic; that I will bear true faith and allegiance to the same; and that I will obey the orders of the President of the United States …”

Informed by his law background, Rhodes places a particular emphasis on the part of the oath that states they will defend the Constitution against all enemies, foreign and domestic.

He developed a legal theory that justifies ignoring what he refers to as “unlawful orders” after witnessing the aftermath of Hurricane Katrina. Following the natural disaster, local law enforcement was assigned the task of confiscating guns, many of which officers say were stolen or found in abandoned homes.

Rhodes was alarmed, believing that the Second Amendment rights of citizens were being violated. Because of this, he argued that people who had military or law enforcement backgrounds had a legal duty to refuse what the group considers unlawful orders, including any that violated constitutionally protected rights, such as the right to bear arms.

In the Oath Keepers’ philosophy, anyone who violates these rights are domestic enemies to the Constitution. And if you follow the orders, you’ve violated your oath.

Explaining the origin of the group on the right-wing website “The Gateway Pundit” in November 2025, Rhodes said: “… we were attacked out of the gate, labeled anti-government, which is absurd because we’re defending the Constitution that established the federal government. We were labeled anti-government extremists, all kinds of nonsense because the elites want blind obedience in the police and military.”

Rebuilding and restructuring

In 2022, the nonprofit whistleblower site Distributed Denial of Secrets leaked more than 38,000 names on the Oath Keepers’ membership list.

The Anti-Defamation League estimated that nearly 400 of the names were active law enforcement officers, and that over 100 were serving in the military. Some of these members were investigated by their workplaces but never disciplined for their involvement with the group.

Some members who were not military or law enforcement did lose their jobs over their affiliation. But they held government-related positions, such as a Wisconsin alderman who resigned after he was identified as a member.

This breach of privacy, paired with the dissolution of the organization after Rhodes’ sentencing, will help shape the group going forward.

In his interview with “The Gateway Pundit,” where he announced the group’s relaunch, Rhodes said: “I want to make it clear, like I said, my goal would be to make it more cancel-proof than before. We’ll have resilient, redundant IT that makes it really difficult to take down. … And I want to make sure I get – put people in charge and leadership everywhere in the country so that, you know, down the road, if I’m taken out again, that it can still live on under good leadership without me being there.”

There was a similar shift in organizational structure with the Proud Boys in 2018. That’s when their founder, Gavin McInnes, stepped away from the organization. His departure came after a group of Proud Boys members were involved in a fight with anti-fascists in New York.

Prosecutors wanted to try the group as a gang. McInnes, therefore, distanced himself to support their defense that they weren’t in a gang or criminal organization. Ultimately, two of the members were sentenced to four years in prison for attempted gang assault charges.

Some Proud Boys members have told me they have since focused on creating local chapters, with in-person recruitment, that communicate on private messaging apps. They aim to protect themselves from legal classification as a gang. It also makes it harder for investigators or activist journalists to monitor them.

This is referred to as a cell style of organization, which is popular with insurgency groups. These groups are organized to rebel against authority and overthrow government structures. The cell organizational style does not have a robust hierarchy but instead produces smaller groups. They all adhere to the same ideology but may not be directly associated.

They may have a leader, but it’s often acknowledged that they are merely a figurehead, not someone giving direct orders. For the Proud Boys, this would be former leader Enrique Tarrio. Proud Boys members I’ve spoken to have referred to him as a “mascot” and not their leader.

Looking ahead

So what does the Rhodes interview indicate about the future of Oath Keepers?

Members will continue supporting Trump while also recruiting more retired military and law enforcement officers. They will create an organizational structure designed to outlive Rhodes. And based on my interactions with the far-right, I believe it’s likely they will create an organizational structure similar to that of the cell style for organizing.

Beyond that, they are going to try to own their IT, which includes hosting their websites and also using trusted online revenue generators.

This will likely provide added security, protecting their membership rolls while making it more difficult for law enforcement agencies to investigate them in the future.

Alexander Lowie does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

– ref. The ‘sacred’ pledge that will power the relaunch of far-right militia Oath Keepers – https://theconversation.com/the-sacred-pledge-that-will-power-the-relaunch-of-far-right-militia-oath-keepers-269775

Source: The Conversation – USA (2) – By D. Brian Blank, Associate Professor of Finance, Mississippi State University

The U.S. economy heads into 2026 in an unusual place: Inflation is down from its peak in mid-2022, growth has held up better than many expected, and yet American households say that things still feel shaky. Uncertainty is the watchword, especially with a major Supreme Court ruling on tariffs on the horizon.

To find out what’s coming next, The Conversation U.S. checked in with finance professors Brian Blank and Brandy Hadley, who study how businesses make decisions amid uncertainty. Their forecasts for 2025 and 2024 held up notably well. Here’s what they’re expecting from 2026 – and what that could mean for households, workers, investors and the Federal Reserve:

What’s next for the Federal Reserve?

The Fed closed out 2025 by slashing its benchmark interest rate by a quarter of a percentage point – the third cut in a year. The move reopened a familiar debate: Is the Fed’s easing cycle coming to an end, or does the cooling labor market signal a long-anticipated recession on the horizon?

While unemployment remains relatively low by historical standards, it has crept up modestly since 2023, and entry-level workers are starting to feel more pressure. What’s more, history reminds us that when unemployment rises, it can do so quickly. So economists are continuing to watch closely for signs of trouble.

So far, the broader labor market offers little evidence of widespread worsening, and the most recent employment report may even be more favorable than the top-line numbers made it appear. Layoffs remain low relative to the size of the workforce – though this isn’t uncommon – and more importantly, wage growth continues to hold up. That’s in spite of the economy adding fewer jobs than most periods outside of recessions.

Gross domestic product has been surprisingly resilient; it’s expected to continue growing faster than the pre-pandemic norm and on par with recent years. That said, the recent shutdown has prevented the government from collecting important economic data that Federal Reserve policymakers use to make their decisions. Does that raise the risk of a policy miscue and potential downturn? Probably. Still, we aren’t concerned yet.

And we aren’t alone, with many economists noting that low unemployment is more important than slow job growth. Other economists continue to signal caution without alarm.

Consumers, the largest driver of economic growth, continue spending – perhaps unsustainably – with strength becoming increasingly uneven. Delinquency rates – the share of borrowers who are behind on required loan payments in housing, autos and elsewhere – have risen from historic lows, while savings balances have declined from unusually high post-pandemic levels. A more pronounced K-shaped pattern in household financial health has emerged, with older higher-income households benefiting from labor markets and already seeming past the worst financial hardship.

Still, other households are stretched, even as gas prices fall. This contributes to a continuing “vibecession,” a term popularized by Kyla Scanlon to describe the disconnect between strong aggregate economic data and weaker lived experiences amid economic growth. As lower-income households feel the pinch of tariffs, wealthier households continue to drive consumer spending.

For the Fed, that’s the puzzle: solid top-line numbers, growing pockets of stress and noisier data – all at once. With this unevenness and weakness in some sectors, the next big question is what could tip the balance toward a slowdown or another year of growth. And increasingly, all eyes are on AI.

Is artificial intelligence a bubble?

The dreaded “B-word” is popping up in AI market coverage more often, and comparisons to everything from the railroad boom to the dot-com era are increasingly common.

Stock prices in some technology firms undoubtedly look expensive as they rise faster than earnings. This may be because markets expect more rate cuts coming from the Fed soon, and it is also why companies are talking more about going public. In some ways, this looks similar to bubbles of the past. At the risk of repeating the four most dangerous words in investing: Is this time different?

Comparisons are always imperfect, so we won’t linger on the differences between this time and two decades ago when the dot-com bubble burst. Let’s instead focus on what we know about bubbles.

Economists often categorize bubbles into two types. Inflection bubbles are driven by genuine technological breakthroughs and ultimately transform the economy, even if they involve excess along the way. Think the internet or transcontinental railroad. Mean-reversion bubbles, by contrast, are fads that inflate and collapse without transforming the underlying industry. Some examples include the subprime mortgage crisis of 2008 and The South Sea Company collapse of 1720.

If AI represents a true technological inflection – and early productivity gains and rapid cost declines suggest it may – then the more important questions center on how this investment is being financed.

Debt is best suited for predictable, cash-generating investments, while equity is more appropriate for highly uncertain innovations. Private credit is riskier still and often signals that traditional financing is unavailable. So we’re watching bond markets and the capital structure of AI investment closely. This is particularly important given the growing reliance on debt financing in some large-scale infrastructure projects, especially at firms like Oracle and CoreWeave, which already seem overextended.

For now, caution, not panic, is warranted. Concentrated bets on single firms with limited revenues remain risky. At the same time, it may be premature to lose sleep over “technology companies” broadly defined or even investments in data centers. Innovation is diffusing across the economy, and these tech firms are all quite different. And, as always, if it helps you sleep better, changing your investments to safer bonds and cash is rarely a risky decision.

A quiet but meaningful shift is also underway beneath the surface. Market gains are beginning to broaden beyond mega-cap technology firms, the largest and most heavily weighted companies in major stock indexes. Financials, consumer discretionary companies and some industrials are benefiting from improving sentiment, cost efficiencies and the prospect of greater policy clarity ahead. Still, policy challenges remain ahead for AI and housing with midterms looming.

Will things ever feel affordable again?

Policymakers, economists and investors have increasingly shifted their focus from “inflation” to “affordability,” with housing remaining one of the largest pressure points for many Americans, particularly first-time buyers.

In some cases, housing costs have doubled as a share of income over the past decade, forcing households to delay purchases, take more risk or even give up on hopes of homeownership entirely. That pressure matters not only for housing itself, but for sentiment and consumption more broadly.

Still, there are early signs of relief: Rents have begun to decline in many markets, especially where new supply is coming online, like in Las Vegas, Atlanta and Austin, Texas. Local conditions such as zoning rules, housing supply, population growth and job markets continue to dominate, but even modest improvements in affordability can meaningfully affect household balance sheets and confidence.

Looking beyond the housing market, inflation has fallen considerably since 2021, but certain types of services, such as insurance, remain sticky. Immigration policy also plays an important role here, and changes to labor supply could influence wage pressures and inflation dynamics going forward.

There are real challenges ahead: high housing costs, uneven consumer health, fiscal pressures amid aging demographics and persistent geopolitical risks.

But there are also meaningful offsets: tentative rent declines, broadening equity market participation, falling AI costs and productivity gains that may help cool inflation without breaking the labor market.

Encouragingly, greater clarity on taxes, tariffs, regulation and monetary policy may arrive in the coming year. When it does, it could help unlock delayed business investment across multiple sectors, an outcome the Federal Reserve itself appears to be anticipating.

If there is one lesson worth emphasizing, it’s this: Uncertainty is always greater than anyone expects. As the oft-quoted baseball sage Yogi Berra memorably put it, “It’s tough to make predictions, especially about the future.”

Still, these forces may converge in a way that keeps the expansion intact long enough for sentiment to catch up with the data. Perhaps 2026 will be even better than 2025, as attention shifts from markets and macroeconomics toward things that money can’t buy.

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their academic appointment.

– ref. Has the Fed fixed the economy yet? And other burning economic questions for 2026 – https://theconversation.com/has-the-fed-fixed-the-economy-yet-and-other-burning-economic-questions-for-2026-272127