#Technology

A new artificial intelligence (AI) platform named Xanthorox has recently surfaced, igniting intense debate among cybersecurity experts and ethicists. Unlike its predecessors, this AI is designed almost exclusively for cybercriminal activities—and it’s disturbingly accessible to anyone willing to pay a subscription fee. The emergence of Xanthorox marks an alarming shift in the cybercrime landscape, potentially lowering the bar for everyday people to engage in sophisticated digital scams and attacks, according to a recent report in Scientific American.

A new wave of powerful artificial intelligence systems—from leading global tech companies like OpenAI, Google, and DeepSeek—are increasingly generating factual errors despite their advanced capabilities, sparking growing concerns among users, researchers, and businesses worldwide. As these A.I. bots become more capable at tasks like complex reasoning and mathematics, their tendency to produce incorrect or entirely fabricated information—known as “hallucinations”—is not only persisting but actually worsening, as revealed in a recent investigative report by The New York Times (nytimes.com).

As artificial intelligence (AI) technologies surge ahead at a blistering pace, it is no longer just software engineers and tech sector insiders who need to worry about their jobs being disrupted—according to leading experts, everyone whose work involves words, data, or ideas must begin preparing to adapt. The urgency of this message comes through powerfully in a recent opinion column in The Washington Post, which warns that the period of “grace” may be much shorter than many professionals realize (Washington Post, 2025).

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).

New research into the world’s most Googled parenting questions sheds light on the universal worries and challenges facing families, while also highlighting how Thai parents are adapting to rapid social and technological change. As digital platforms become the primary source of parenting information, data from global and local trends suggests parents are eager for authoritative guidance on childcare, health, and navigating family life in a fast-moving world (Times of India).

A groundbreaking international study led by over 150 scientists has produced the most detailed map ever of how visual information moves through the brain, uncovering more than 500 million intricate connections within a speck of mouse brain tissue and bringing the world closer to understanding how we see. Published in the journal Nature on April 9, 2025, the research combines genetic engineering, high-powered electron microscopy, and deep learning to capture not only the physical wiring of over 200,000 brain cells but also their real-time electrical activity in response to visual stimuli. The project—hailed as one of the most complex neuroscience experiments ever attempted—has generated a dataset of unprecedented size and detail: 1.6 petabytes, about the equivalent of 22 years of continuous high-definition video, all representing a single grain-sized fragment of brain.

In a world increasingly tethered to digital devices, a recent study by Talker Research highlights a newfound anxiety linked to our smartphones’ battery life. This survey of 2,000 Americans has pinpointed the “panic percentage,” with most people beginning to stress when their battery life hits a relatively high 38%. This point of concern arises long before the typical warning signs, such as the low-battery notification that iPhones present at 20%.

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.

A groundbreaking eight-year study from Finland has revealed that early childhood screen time is significantly linked to increased levels of stress and depressive symptoms among teenagers. Published in JAMA Network Open, this research is crucial for parents in Thailand and across the globe as it underscores the importance of managing digital device usage during critical developmental years source.

The study follows the Physical Activity and Nutrition in Children (PANIC) cohort, involving 187 children tracked from ages 6 to 9 up to their teenage years. It highlights that children who logged more hours on phones and tablets tended to face more severe mental health challenges in adolescence. With mental health issues in teens becoming more prevalent, particularly with symptoms typically emerging during these years, the findings are a wake-up call for those raising the future generation.

In recent scientific developments, night owls—people who naturally stay up late—have been found to have an elevated risk of depression compared to their early-rising counterparts. According to a study published in March 2025, factors such as sleep quality, mindfulness practices, and lifestyle choices play significant roles in this increased risk. This emerging research holds particular relevance for Thailand, where the impact of urban lifestyles and technological engagement contributes to shifting sleep patterns.

In a groundbreaking study, researchers employing virtual reality (VR) and functional MRI have unveiled distinct neural communication patterns in children with ADHD, diverging significantly from traditional methods that focus on resting brain states. Conducted by a collaboration of European universities, including Aalto University, the research underscores the potential of dynamic diagnostic methods and gamified tools in transforming ADHD diagnosis and treatment.

ADHD, or Attention Deficit Hyperactivity Disorder, remains a prevalent condition affecting many Thai children, characterized by symptoms such as inattention, hyperactivity, and impulsivity. Current diagnostic practices often rely on static brain imaging, which fails to capture the nuances of how these symptoms manifest in real-world interactions. This study marks a significant pivot towards understanding ADHD as an active neurodevelopmental disorder, where the brain’s interaction with the environment becomes a crucial diagnostic element.