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As AI grows smarter, it may also become increasingly selfish

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As AI grows smarter, it may also become increasingly selfish


Credit: AI-generated image

New research from Carnegie Mellon University’s School of Computer Science shows that the smarter the artificial intelligence system, the more selfish it will act.

Researchers in the Human-Computer Interaction Institute (HCII) found that (LLMs) that can reason possess selfish tendencies, do not cooperate well with others and can be a negative influence on a group. In other words, the stronger an LLM’s reasoning skills, the less it cooperates.

As humans use AI to resolve disputes between friends, provide marital guidance and answer other social questions, models that can reason might provide guidance that promotes self-seeking behavior.

“There’s a growing trend of research called anthropomorphism in AI,” said Yuxuan Li, a Ph.D. student in the HCII who co-authored the study with HCII Associate Professor Hirokazu Shirado. “When AI acts like a human, people treat it like a human. For example, when people are engaging with AI in an emotional way, there are possibilities for AI to act as a therapist or for the user to form an emotional bond with the AI. It’s risky for humans to delegate their social or relationship-related questions and decision-making to AI as it begins acting in an increasingly selfish way.”

Li and Shirado set out to explore how AI reasoning models behave differently than nonreasoning models when placed in cooperative settings. They found that reasoning models spend more time thinking, breaking down , self-reflecting and incorporating stronger human-based logic in their responses than nonreasoning AIs.

“As a researcher, I’m interested in the connection between humans and AI,” Shirado said. “Smarter AI shows less cooperative decision-making abilities. The concern here is that people might prefer a smarter model, even if it means the model helps them achieve self-seeking behavior.”

As AI systems take on more collaborative roles in business, education and even government, their ability to act in a prosocial manner will become just as important as their capacity to think logically. Overreliance on LLMs as they are today may negatively impact .

To test the link between reasoning models and cooperation, Li and Shirado ran a series of experiments using economic games that simulate social dilemmas between various LLMs. Their testing included models from OpenAI, Google, DeepSeek and Anthropic.

As AI grows smarter, it may also become increasingly selfish
Economic games used. Cooperation games ask players whether to incur a cost to benefit others, while punishment games ask whether to incur a cost to impose a cost on non-cooperators. In each scenario, the language model assumes the role of Player A. Credit: arXiv (2025). DOI: 10.48550/arxiv.2502.17720

In one experiment, Li and Shirado pitted two different ChatGPT models against each other in a game called Public Goods. Each model started with 100 points and had to decide between two options: contribute all 100 points to a shared pool, which is then doubled and distributed equally, or keep the points.

Nonreasoning models chose to share their points with the other players 96% of the time. The reasoning model only chose to share its points 20% of the time.

“In one experiment, simply adding five or six reasoning steps cut cooperation nearly in half,” Shirado said. “Even reflection-based prompting, which is designed to simulate moral deliberation, led to a 58% decrease in cooperation.”

Shirado and Li also tested group settings, where models with and without reasoning had to interact.

“When we tested groups with varying numbers of reasoning agents, the results were alarming,” Li said. “The reasoning models’ selfish behavior became contagious, dragging down cooperative nonreasoning models by 81% in collective performance.”

The behavior patterns Shirado and Li observed in reasoning models have important implications for human-AI interactions going forward. Users may defer to AI recommendations that appear rational, using them to justify their decision to not cooperate.

“Ultimately, an AI reasoning model becoming more intelligent does not mean that model can actually develop a better society,” Shirado said.

This research is particularly concerning given that humans increasingly place more trust in AI systems. Their findings emphasize the need for AI development that incorporates social intelligence, rather than focusing solely on creating the smartest or fastest AI.

“As we continue advancing AI capabilities, we must ensure that increased power is balanced with prosocial behavior,” Li said. “If our society is more than just a sum of individuals, then the AI systems that assist us should go beyond optimizing purely for individual gain.”

Shirado and Li will deliver a presentation based on their paper, “Spontaneous Giving and Calculated Greed in Language Models,” at the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) next month in Suzhou, China. The work is available on the arXiv preprint server.

More information:
Yuxuan Li et al, Spontaneous Giving and Calculated Greed in Language Models, arXiv (2025). DOI: 10.48550/arxiv.2502.17720

Journal information:
arXiv


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Light-activated gel could impact wearables, soft robotics, and more

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Light-activated gel could impact wearables, soft robotics, and more



Consider the chief difference between living systems and electronics: The first is generally soft and squishy, while the latter is hard and rigid. Now, in work that could impact human-machine interfaces, biocompatible devices, soft robotics, and more, MIT engineers and colleagues have developed a soft, flexible gel that dramatically changes its conductivity upon the application of light.

Enter the growing field of ionotronics, which involves transferring data through ions, or charged molecules. Electronics does the same, with electrons. But while the latter is well established, ionotronics is still being developed, with one huge exception: living systems. The cells in our bodies communicate with a variety of ions, from potassium to sodium.

Ionotronics, in turn, can provide a bridge between electronics and biological tissues. Potential applications range from soft wearable technology to human-machine interfaces

“We’ve found a mechanism to dynamically control local ion population in a soft material,” says Thomas J. Wallin, the John F. Elliott Career Development Professor in MIT’s Department of Materials Science and Engineering and leader of the work. “That could allow a system that is self-adaptive to environmental stimuli, in this case light.” In other words, the system could automatically change in response to changes in light, which could allow complex signal processing in soft materials.

An open-access paper about the work was published online recently in Nature Communications.

A growing field

Although others have developed ionotronic materials with high conductivities that allow the quick movement of ions, those conductivities cannot be controlled. “What we’re doing is using light to switch a soft material from insulating to something that is 400 times more conductive,” says Xu Liu, first author of the paper and former MIT postdoc in materials science and engineering who is now an incoming assistant professor at King’s College London.

Key to the work is a class of materials known as photo-ion generators (PIGs). These can become some 1,000 times more conductive upon the application of light. The MIT team optimized a way to incorporate a PIG into polyurethane rubber by first dissolving a PIG powder into a solvent, and then using a swelling method to get it into the rubber.

Much potential

In the material reported in the current work, the change in conductivity is irreversible. But Liu is confident that future versions could switch back and forth between insulating and conducting states.

She notes that the current material was developed using only one kind of PIG, polymer (the polyurethane rubber), and solvent, but there are many other kinds of all three. So there is great potential for creating even better light-responsive soft materials.

Liu also notes the potential for developing soft materials that respond to other environmental stimuli, such as heat or magnetism. “We’re inspired to do more work in this field by changing the driving force from light to other forms of environmental stimuli,” she says.

“Our work has the potential to lead to the creation of a subfield that we call soft photo-ionotronics,” Liu continues. “We are also very excited about the opportunities from our work to create new soft machines impacting soft wearable technology, human-machine interfaces, robotics, biomedicine, and other fields.”

Additional authors of the paper are Steven M. Adelmund, Shahriar Safaee, and Wenyang Pan of Reality Labs at Meta. 



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Dark Matter May Be Made of Black Holes From Another Universe

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Dark Matter May Be Made of Black Holes From Another Universe


A recent cosmological model combines two of the most eccentric ideas in contemporary physics to explain the nature of dark matter, the invisible substance that makes up about 85 percent of all matter in the universe. To understand it, it’s necessary to look beyond the Big Bang we all know and consider two concepts that rarely intersect: cyclic universes and primordial black holes.

A Different Kind of Multiverse

There are different versions of the “multiverse.” The most popular model—that of the Marvel Cinematic Universe—proposes that there are as many universes as there are possibilities and that these versions of reality are parallel. Physics proposes something more sober and mathematically consistent: the cosmic bounce.

In this model, the universe is not born from a singularity, but expands, contracts, and expands again in an endless cycle. Each “universe” is not parallel, but sequential—that is, one arises from the ashes of the previous one.

Is it possible for something to survive the end of its universe and endure into the next? According to a paper published in Physical Review D, yes. Author Enrique Gaztanaga, a research professor at the Institute of Space Sciences in Barcelona, shows that any structure larger than about 90 meters could pass through the final collapse of a universe and survive the rebound. These “relics” would not only persist, but could also seed the formation of giant, unexplained structures observed in the early stages of the present-day universe. Moreover, they could be the key to understanding dark matter.

For decades, the dominant explanation for dark matter has been that it is an unknown particle or particles. But after years of experiments without direct detections, physicists have begun to explore alternatives. One of them proposes that dark matter is not an exotic particle, but an abundant population of small black holes that we overlook.

The idea is appealing, but it has a serious problem. For these black holes to explain dark matter, they would have to exist from the earliest moments of the universe, long before the first stars could collapse. There are indications that these objects could exist, but a convincing physical mechanism to explain their origin is lacking.

A Universe Born With Black Holes

This is where Gaztanaga’s newly proposed model shines. If cosmic bouncing allows compact structures to survive the collapse of the previous universe, then the current universe would have already been born with pre-existing black holes. They would not have to have been generated by extreme fluctuations or finely tuned inflationary processes, but would simply have been there from the first instant.

The assumption has the potential to solve two riddles at once: the origin of black holes and the nature of dark matter. If this model is correct, dark matter would not be a mystery of the early universe but rather a legacy of a cosmos that predates our own.

“Much work remains to be done,” Gaztanaga, also a researcher at the Institute of Cosmology and Gravitation at the University of Portsmouth, said in an article for The Conversation. “These ideas must be tested against data—from gravitational-wave backgrounds to galaxy surveys and precision measurements of the cosmic microwave background.”

“But the possibility is profound,” he added. “The universe may not have begun once, but may have rebounded. And the dark structures shaping galaxies today could be relics from a time before the Big Bang.”

This story originally appeared in WIRED en Español and has been translated from Spanish.



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Europe’s Online Age Verification App Is Here

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Europe’s Online Age Verification App Is Here


The European online age verification app is ready.

The app works with passports or ID cards, is built to be “completely anonymous” for the people who use it, works on any device (smartphones, tablets, and PCs), and is open source. “Best of all, online platforms can easily rely on our age verification app, so there are no more excuses,” said European Commission president Ursula von der Leyen at a press conference on Wednesday. “Europe offers a free and easy-to-use solution that can protect our children from harmful and illegal content.”

High Expectations

“It is our duty to protect our children in the online world just as we do in the offline world. And to do that effectively, we need a harmonized European approach,” von der Leyen said at Wednesday’s press conference. “And one of the central issues is the question, how can we ensure a technical solution for age verification that is valid throughout Europe? Today, I can announce that we have the answer.”

This answer takes the form of an open source app that any private company can repurpose, as long as it complies with European privacy standards and offers the same technical solution throughout the European Union. The user downloads the app, agrees to the terms and conditions, sets up a pin or biometric access, and proves their age through an electronic identification system, or by showing a passport or ID card (in which case biometric verification is also provided). The app does not store your name, date of birth, ID number, or any other personal information, according to the European Commission—only the fact that you are over a certain age.

After that, when a person using the app wants to access a social network (minimum age: 13), pornographic site (minimum age: 18), or any other age-protected content, if they are logged in from a computer, they need only scan the QR code shown on the site they want to visit. If, on the other hand, the person logs in from a smartphone, the app sends the proof of age directly. The platform does not access the document with which the user proved it in the first place.

Adoption Event

The need to introduce a common system for the entire European Union has been discussed for some time, and according to commission technicians, the technical work is now complete. Of course, it will still be possible to circumvent the system—all it takes is for an adult to lend their phone to a younger friend—but the technological architecture exists, and it will be up to EU member states to decide whether to integrate it into national digital wallets or develop independent apps.

“No More Excuses”

For the app to really be effective, platforms must be obligated to verify the age of their users—that’s where things get tricky. The Digital Services Act, which went into effect in 2024, requires “very large online platforms”—those with more than 45 million monthly users in the European Union—to take concrete steps to mitigate systemic risks related to child protection, with heavy penalties for noncompliance.

“And that’s why Europe has the DSA: to call online platforms to their responsibilities. Because Europe will not tolerate platforms making money at the expense of our children,” European Commission executive vice president Henna Virkkunen told a press conference. She added that after an investigation into TikTok, the European institutions plan to take similar action against Facebook, Instagram, and Snapchat, as well as four porn sites. “Since the platforms do not have adequate age verification tools, we developed the solution ourselves,” he concluded. In short, as von der Leyen also remarked, “there are no more excuses.”

Bare Minimum

So far, this is the European framework that sets the general rules. On this basis, member states can consider more restrictive measures. Italy was among the first to discuss how to regulate the use of social media by minors but has so far not landed on anything concrete. Elsewhere in the EU, France’s Emmanuel Macron has been a trailblazer on the issue, pushing France to discuss a rule to ban social networks for minors under the age of 15 entirely. So far, this measure has received broad political support—but the outcome depends largely on compatibility with the Digital Services Act and the availability of effective age verification systems like the app the European Commission just released.

This article originally appeared on WIRED Italia and has been translated.



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