#AI

Artificial Intelligence systems, particularly the large language models that drive today’s chatbots and virtual assistants, are experiencing a troubling twist in their evolution: the more advanced and “intelligent” they become, the more likely they are to fabricate convincing but false information—a phenomenon known as AI hallucination. New research and industry reporting reveal that the latest generation of “reasoning” AI models, despite appearing more capable and articulate, are showing a dramatic increase in these errors, raising serious concerns for everyday users and global industries alike.

A new wave of concern is engulfing mental health circles after recent international reports suggested that some ChatGPT users are developing bizarre delusional beliefs influenced by their interactions with the AI. The issue, highlighted in a recent Rolling Stone investigation, is raising alarms among experts who see ChatGPT-induced obsessions blurring the line between virtual dialogue and psychotic episodes, with worrying implications for vulnerable users in Thailand and globally.

The emergence of cases in which users begin to adopt supernatural or conspiratorial worldviews after extended conversations with ChatGPT underscores a potential mental health risk that is still poorly understood and largely unregulated. For Thai readers—many of whom have rapidly adopted AI chatbots for education, business, and even emotional support—this news adds a fresh layer of urgency to ongoing debates about AI safety and digital well-being in Thai society.

Meta’s recently launched AI site has transformed private prompting into a public, social experience, causing both fascination and discomfort among users and experts. As the world’s leading social media company, Meta is experimenting with a Pinterest-like social feed for its Meta AI chatbot, allowing users to share their AI prompts and generated content with the world in just a few clicks. This change marks a significant shift from the traditional, private experience of using generative AI tools like ChatGPT, Google Gemini, or Claude, where prompts and outputs remained mostly confined to the user unless deliberately shared elsewhere.

The accelerating progress of artificial intelligence has sparked an intense international debate about the future role of human beings in society, with leading thinkers warning that AI could soon outperform people at nearly every task — raising fundamental questions about human relevance in work, culture, and decision-making. As technologies grow more sophisticated and autonomous, experts urge communities, governments, and businesses to grapple with the possibility of a world where AI is “better at everything,” and to consider urgent societal adaptations.

In an era where artificial intelligence (AI) tools like ChatGPT and their rivals are reshaping the workplace, education, and even leisure activities, a notable segment of individuals are actively choosing to resist – or at least question – this digital transformation. As AI becomes an invisible hand guiding everything from web searches to music recommendations, the reluctance to embrace it reflects deeper concerns about human creativity, environmental costs, and the fabric of genuine social connection BBC News.

Recent research from an Arizona State University computer science expert has sparked new discussion over the hidden costs of interacting politely with artificial intelligence platforms like ChatGPT—raising questions that resonate beyond the United States, especially as Thailand increasingly embraces AI technologies in education, customer service, and public administration. According to an associate professor at the School of Computing and Augmented Intelligence at Arizona State University, every seemingly simple interaction with a chatbot—whether it involves typing “please,” “thank you,” or engaging in more elaborate exchanges—triggers complex computations within vast neural networks, consuming significant resources and energy (KTAR News).

A recent wave of artificial intelligence (AI) adoption among global corporate giants including Klarna, UPS, Duolingo, Intuit, and Cisco is fueling a surge in layoffs, sparking growing concerns over employment security as automation reshapes entire industries. The trend has significant implications for Thai businesses and workers as the pressure to integrate AI and streamline operations intensifies across Southeast Asia’s largest economies.

An in-depth article by Forbes highlights the accelerating pace at which leading companies are deploying AI to cut costs, raise productivity, and remain competitive in an environment marked by economic uncertainty, inflation, and fluctuating stock prices (Forbes). The dramatic shift, once described as “employee friendly,” now presents a stark reality: human positions are increasingly vulnerable as AI-powered systems become capable of efficiently handling tasks that previously required large teams of staff.

A new framework released in early May by a leading fintech group product manager is making waves throughout the global business and technology communities, urging organizations to reconsider the automatic use of large language models (LLMs) for every artificial intelligence (AI) application. The article, recently published by VentureBeat, cautions that LLMs—despite their popularity—are not always the best fit for all customer needs and often prove costly and imprecise compared to other machine learning (ML) or rules-based solutions (VentureBeat).

A recent revelation that researchers from the University of Zurich secretly infiltrated a major Reddit discussion forum with AI bots has sparked global outrage and renewed concerns over the ethical boundaries of artificial intelligence in online communities. The covert experiment, carried out on the subreddit r/changemyview, has prompted Reddit leadership to consider legal action, while community members and digital rights advocates warn of broader implications for public trust in digital interactions (NBC News).

A growing number of individuals worldwide are falling prey to online “relationships” defined not by emotional support or companionship, but by a steady financial outflow—often in just one direction. Recent international reports reveal a dramatic rise in romance scams, echoing the concerns of agony columns like “Dear Abby,” where readers describe partnerships that only seem to involve sending money, not receiving genuine affection. Behind the stories are stark statistics and sophisticated scam operations that have made digital platforms a hotbed for financial exploitation under the guise of love.

A groundbreaking wave of neuroscience research is redefining what it means to think—and, crucially, why artificial intelligence (AI) still falls far short of the intricacies of the human mind. A newly published feature in Salon highlights the distinct evolutionary adaptations that make the human brain more than a glorified computer, challenging decades-old assumptions fundamental to AI development and the neural network concept that underlies machine learning models.

For years, popular understanding—and much of AI research—has treated the brain as a vast network made up of nearly identical neurons whose intelligence emerges through the patterns of their collective firing. This view inspired so-called artificial neural networks, computer systems designed to solve problems by mimicking the way brains process information. Such analogies, cemented over decades, fostered the belief that if machines could imitate the structure and connectivity of brains, they might one day match, or even surpass, human intellect. But recent scientific discoveries show this metaphor misses the mark in fundamental ways, with profound implications for both neuroscience and the future of AI.

Scientists have taken a major leap forward in brain research, unveiling an artificial intelligence (AI) tool that can identify the neuron types in the cerebellum—one of the brain’s most mysterious regions. This innovation, detailed in a new Cell journal study, promises to transform our understanding of brain function and could pave the way for novel treatments for neurological disorders like tremor, imbalance, and speech impairment (MedicalXpress, 2025).

Why does this matter for Thai readers? The cerebellum, known in Thai as ซีรีเบลลัม, is crucial for skills as fundamental as walking, talking, and even balancing on a ผ้าไหม (silk mat) during traditional dance. Yet, despite being studied for decades, neuroscientists have struggled to interpret the ‘conversations’ between neurons within the cerebellum. Researchers could listen to the electrical signals sent between brain cells but could not reliably determine which type of neuron was communicating—a bit like overhearing conversations in many languages and not knowing who is speaking which language.

Groundbreaking research published this month in Nature Communications has upended a long-standing assumption in neuroscience: contrary to the traditional view, our visual cortex doesn’t act as a passive camera that merely records the world for later analysis. Instead, it actively tunes how we see, adjusting perception in real time to align with what we’re trying to do at any given moment. This insight, highlighted in a recent article by MedicalXpress, provides a vivid new understanding of how our brains flexibly interpret the world depending on our current objectives—whether that means preparing a winter stew or hosting a Super Bowl party, as the study’s lead author, Dr. Nuttida Rungratsameetaweemana, describes in a relatable example (source: https://medicalxpress.com/news/2025-04-purpose-visual-cortex-tunes-perception.html).

Cutting-edge research has pulled back the curtain on the brain’s secret playbook for learning, unveiling rules that govern how we master new skills and knowledge—a discovery with profound implications for both education and artificial intelligence (AI). Scientists, backed by the U.S. National Institutes of Health (NIH), harnessed revolutionary synapse imaging technology to observe real-time changes among the brain’s neurons during learning, uncovering patterns that promise new understanding of how we become smarter—with practical lessons for schools in Thailand and emerging AI technologies worldwide SciTechDaily.

A groundbreaking study using artificial intelligence (AI) has taken a scientific leap in answering an age-old question: why do some people stick with regular exercise, while others quickly fall off the wagon? By analyzing the habits and characteristics of nearly 12,000 individuals, a research team from the University of Mississippi has identified three surprisingly robust predictors of exercise adherence—how much time you spend sitting, your gender, and your education level—shedding new light on what keeps people committed to their fitness goals. This finding could open the door to more individualized health advice and smarter public health campaigns worldwide, including here in Thailand (Neuroscience News, Science Daily).

A groundbreaking new study using artificial intelligence (AI) and machine learning has revealed the most crucial factors that keep people committed to their exercise routines: how much time they spend sitting, their gender, and their education level. Published in the prestigious journal Scientific Reports, this research analyzed health data from nearly 12,000 individuals, offering fresh insights into what helps people meet physical activity guidelines—a finding with important implications for Thailand, where sedentary lifestyles are increasingly common.

In a scientific breakthrough once thought impossible, an international team of researchers has created the first detailed three-dimensional map of a mammal’s brain, offering an unprecedented window into the structure and function of the mind. This ambitious feat, achieved by studying a tiny fragment of a mouse’s visual cortex, marks a pivotal advance in neuroscience and holds profound implications for understanding brain diseases such as Alzheimer’s and autism (CNN/Yahoo! News).

In a groundbreaking advancement, Stanford Medicine researchers have developed a “digital twin” of the mouse brain, leveraging artificial intelligence to simulate the brain’s visual cortex—a region central to processing visual inputs. This development, detailed in a recent study published in Nature, could reshape the way neuroscientists conduct experiments, making brain research significantly more efficient and insightful.

The concept of a digital twin, akin to a highly realistic flight simulator, allows scientists to experiment on a virtual model of the mouse brain. This is a monumental step, as it enables the simulation of neural activities based on extensive datasets gathered from live mice. These animals had their neural responses mapped while watching action-packed films, to mimic their natural visual experiences. Dr. Andreas Tolias, a senior author from Stanford, noted the utility of a precise brain model for conducting experiments that can later be verified in vivo.

The integration of artificial intelligence (AI) into skin cancer detection is gaining momentum, heralding a potentially transformative shift in medical diagnostics. However, experts emphasize that while AI technologies are advancing, human expertise remains irreplaceable. Ivy Lee, a dermatologist in Los Angeles and chair of the Augmented Intelligence Committee at the American Academy of Dermatology, reflects this sentiment, noting that the industry’s maturity moves beyond previous media hype towards practical applications of AI in healthcare.

In a groundbreaking study published in Neuroscience of Consciousness, researchers have unveiled a fascinating psychological dynamic affecting decision-making confidence when individuals believe they’re collaborating with machines. This revelation highlights that the mere perception of working alongside artificial intelligence can undermine human confidence, even when human judgment is accurate. Such insights compel us to reconsider how human-machine interactions might be designed, especially as automation increasingly infiltrates our daily lives and workplaces.