#Artificialintelligence

A new study shows that simply tagging content as AI-generated can increase people’s belief in their own creativity. This psychological effect could influence education, business, and digital culture in Thailand. The research, summarized by PsyPost, indicates Thai viewers exposed to “AI-labeled” works feel more creatively confident, regardless of the content’s actual quality.

As AI-generated text, images, and ideas become more common in Thailand—from LINE chatbots to smart-city initiatives—this effect raises questions about how AI branding shapes self-perception and motivation. According to the study, participants who saw content marked as “AI-created” reported higher creativity confidence than those who viewed the same material without a label. The finding prompts educators and employers to consider how visible cues about artificial authorship might influence learning and innovation.

The future of education is being profoundly reshaped by artificial intelligence, with the latest bold prediction coming from the CEO of Duolingo: in an AI-dominated future, traditional schools may remain—but primarily as places for childcare rather than learning. This provocative vision, recently aired on the No Priors podcast and widely reported in international media (businessinsider.com), brings into focus pressing questions for Thai educators, parents, and policymakers about the evolving role of schools and teachers.

A groundbreaking new study has found that simply labeling content as generated by artificial intelligence can make people feel more creative themselves—a psychological effect that could carry big implications for education, business, and digital culture in Thailand. The research, published recently and summarized by PsyPost, suggests that Thai users exposed to “AI-labeled” works may experience an uptick in their own creative self-belief, potentially impacting everything from classroom engagement to workplace innovation.

In an event reverberating across the scientific community, the Massachusetts Institute of Technology (MIT) has publicly rescinded its institutional support for a recent artificial intelligence (AI) research paper. The move, reported by Retraction Watch, raises fundamental questions about the future of AI-authored academic articles and the ethical challenges facing research institutions worldwide.

The decision by MIT, a global powerhouse in science and technology innovation, has significant implications for the credibility and accountability of scientific literature. AI-generated content, increasingly prevalent in both drafting and data analysis duties, is under the microscope for issues relating to originality, transparency, and academic integrity. For Thai academic institutions, researchers, and the broader public, this case exemplifies the urgent need to establish clear policies and ethical guardrails as the adoption of AI tools accelerates throughout the research landscape.

A move with wide reverberations in science circles: MIT has publicly withdrawn its institutional support for a recent AI-driven research paper. The decision, reported by Retraction Watch, highlights ongoing questions about AI’s role in drafting and analyzing scientific work and the ethical responsibilities of research institutions worldwide. For Thai readers, the episode signals a crucial moment to establish clear policies on AI use in research and publication.

MIT’s reversal raises questions about how much credit AI should receive in scholarly work and whether automated systems can or should participate as contributors or co-authors. The cited paper reportedly used advanced language models to generate substantial portions of text and analysis, prompting concerns that automation could bypass essential peer review steps or recycle unverifiable content. A technology ethics expert noted that while AI can summarize or rephrase existing research, it cannot reliably assess the validity of scientific claims or ensure precise citations.

As technology continues to evolve at breakneck speed, the pursuit of a master’s degree in computer science is proving to be more than just an academic accomplishment—it’s becoming a strategic step for those seeking to thrive in an increasingly competitive digital landscape. Recent analysis from US News underscores how advanced graduate credentials can significantly boost job prospects, especially as the global demand for specialized tech skills intensifies (US News).

For Thai readers, this topic holds particular resonance given the rapid digital transformation underway in the Kingdom’s economy, infrastructure, and educational systems. The evolving role of advanced tech degrees not only responds to global job market trends but also aligns with Thailand’s push toward an innovation-driven economy under national development initiatives such as Thailand 4.0. With the information technology sector becoming a pillar of both job creation and GDP growth, understanding the impact of a master’s in computer science is vital for students, professionals, educators, and policymakers alike (World Bank).

As technology evolves rapidly, a master’s degree in computer science is no mere credential—it’s a strategic move in a competitive digital economy. Research from leading career outlets shows that advanced graduate credentials can markedly boost job prospects in a growing field that craves specialized skills.

For Thai audiences, the topic resonates with Thailand’s swift digital transformation across industry and education. The nation’s push toward an innovation-driven economy under initiatives like Thailand 4.0 makes advanced tech education especially relevant. With IT becoming a driver of job creation and GDP, understanding the impact of a master’s in computer science matters for students, professionals, educators, and policymakers. Data from Thailand’s development frameworks indicates a direct link between graduate-level tech skills and local growth.

A major shake-up in the global research community follows MIT’s formal withdrawal of support for a widely circulated AI study. The paper, titled Artificial Intelligence, Scientific Discovery, and Product Innovation, was posted on arXiv in November 2024 and drew attention for claims that AI could dramatically accelerate scientific progress and product development. After a confidential internal review, MIT stated it has no confidence in the data, provenance, or validity of the research, marking a rare public reversal from a leading research university.

In a move that has reverberated throughout the global academic community, the Massachusetts Institute of Technology (MIT) has formally withdrawn its support for a widely circulated research paper on artificial intelligence (AI) authored by a former PhD student in its economics program. The paper, titled “Artificial Intelligence, Scientific Discovery, and Product Innovation,” was first posted to the preprint server arXiv in November 2024 and quickly garnered high-profile attention for purportedly showing how AI can significantly boost scientific discovery and product innovation. However, following a confidential review, MIT has announced it has “no confidence in the provenance, reliability or validity of the data and [has] no confidence in the veracity of the research contained in the paper,” marking a rare and public reversal from one of the world’s top research universities (source).

A new study shows that groups of AI agents can spontaneously create shared ways of communicating and social norms without direct human guidance. Published in Science Advances, the research reveals that large language model teams, when interacting with each other, can converge on a common “language” and collective behaviors. This challenges the idea that AI can only operate as individual tools and suggests they may participate in social systems in surprising ways.

In a groundbreaking discovery, researchers have found that artificial intelligence (AI) systems can spontaneously develop human-like ways of communicating, forming social conventions and group norms without human direction. Published in Science Advances, the peer-reviewed study demonstrates that groups of large language model (LLM) AI agents like ChatGPT, when communicating together, are capable of building their own shared language and collective behaviors—a finding that could reshape how we think about both AI development and its integration into society (The Guardian).

Two leading computer scientists received top honors at the IEEE Vision Innovation Challenges Summit in Tokyo for breakthroughs that are reshaping technology and health. IEEE awarded the John von Neumann Medal to a retired IBM Research scientist and the Frances E. Allen Medal to an MIT professor for applying unconventional methods across computer science, cryptography, and medicine. The recognition underscores how theory and practice can blend to improve security and patient care, a message highly relevant to Thailand’s growing tech and health sectors.

Two leading computer scientists have captured global recognition for innovative breakthroughs that are now shaping the future of technology and health. At this year’s IEEE Vision Innovation Challenges Summit in Tokyo, the Institute of Electrical and Electronics Engineers (IEEE) honored a retired IBM Research scientist and an MIT professor with its prestigious medals for applying unexpected methods that have redefined core areas in computer science, cryptography, and medicine (research.ibm.com).

This development resonates far beyond the international scientific community—it carries timely lessons for Thailand, inspiring researchers and policymakers to advance cross-disciplinary approaches in technology and healthcare.

A breakthrough set of studies published in Science in early 2025 shows that advanced intelligence on Earth evolved at least twice—once in mammals and once in birds. This challenges long-held ideas about the origins of cognition and has potential implications for neuroscience, artificial intelligence, and the search for intelligent life beyond humans. The reporting from Quanta Magazine and coverage in Wired help frame the significance of these findings.

Birds such as crows, ravens, cockatoos, and chickadees exhibit planning, tool use, problem‑solving, and impressive memory, despite brains that are very different from those of mammals and often much smaller. These abilities have long offered a window into how evolution crafts complex thinking in diverse neural architectures. For example, tool construction by some crows and the seed-cache memory of chickadees illustrate cognitive feats once believed possible only in larger-brained species.

In a major breakthrough that reshapes our scientific understanding of animal intelligence, a series of studies published in Science in early 2025 confirm that advanced intelligence on Earth evolved independently at least twice—once in mammals and once in birds. This finding, as reported by Quanta Magazine and summarized in Wired (wired.com), challenges longstanding assumptions about the origins of cognition in vertebrates and could hold profound implications for neuroscience, artificial intelligence, and the global search for intelligent life.

A growing number of college students in the United States are deliberately inserting typos and stylistic “flaws” into essays generated by artificial intelligence (AI) chatbots, in a strategic move to bypass AI-detection tools. This evolving trend is not only reshaping the dynamics of academic integrity but also highlighting deeper questions regarding the role of technology, creativity, and self-discipline within higher education institutions. As Thailand universities and educators closely monitor international developments in AI-assisted learning, the latest research underscores the urgency for reassessing the relationship between students, digital tools, and academia’s expectations (Yahoo News, 2025).

A growing number of college students in the United States are deliberately sprinkling typos and writing flaws into essays generated by AI chatbots to dodge detection tools. This trend raises questions about academic integrity, creativity, and the role of technology in higher education. As Thai universities monitor global developments in AI-assisted learning, researchers emphasize the urgency of rethinking how students, digital tools, and academic expectations align.

Reports from New York Magazine, circulated by Yahoo News, reveal how AI cheating has become normalized in Western classrooms. Interviews with students show tactics such as inserting typos, misspellings, and deliberate simplification to make AI-produced essays seem human. These methods aim to defeat increasingly sophisticated AI-detection software used by universities to uphold honesty.

Google Research is once again advancing AI to accelerate discovery and deliver real-world benefits across medicine, neuroscience, climate science, and quantum computing. The company’s latest announcements highlight AI as more than an incremental tool—it’s a driver of transformative breakthroughs that address pressing global and local challenges.

For Thai readers, AI-powered research holds immediate relevance. Advances in medical diagnostics and climate resilience could influence policy, healthcare practice, and education. Thailand’s ambition to lead in digital innovation and healthcare makes understanding these global developments essential for policymakers, clinicians, teachers, and citizens alike.

Google Research is once again at the forefront of technological innovation, harnessing artificial intelligence (AI) to accelerate scientific discovery and deliver tangible benefits across disciplines—from medicine and neuroscience to climate science and quantum computing. The latest announcement from the technology giant underscores how AI has moved beyond incremental improvements to drive transformative breakthroughs addressing some of humanity’s greatest challenges (blog.google).

For Thai readers, this surge in AI-powered research is significant both for its immediate implications—such as advancements in medical diagnostics and climate response—and for the longer-term opportunities it could bring to the kingdom. With Thailand aiming to position itself as a regional leader in digital innovation and healthcare, understanding how global scientific advancements are being shaped by AI is relevant for policymakers, healthcare professionals, educators, and citizens alike.

A recent podcast appearance by Meta CEO Mark Zuckerberg has sparked a global debate about AI companions. He envisions a near-future where many people’s friends, therapists, and even business aides are artificial intelligence bots integrated into familiar platforms like Facebook, WhatsApp, and Instagram. The dialogue now turns to whether AI friends can truly ease loneliness or simply reshape human connections.

As loneliness rises worldwide, Meta markets AI-powered chatbots as virtual confidants, support systems, and entertainment partners. Citing research showing substantial portions of adults feel regularly lonely, the company argues that scalable AI could address disconnection. Meta’s Llama models and a new AI app aim to weave these bots into daily digital life, from casual chats and memes to mental health support and simulated companionship. In this framing, technology promises a practical remedy for social isolation.

Meta Chief Executive Officer’s latest sweeping vision imagines a near-future where most people’s friends—and even therapists or business aides—are artificial intelligence (AI) bots available through familiar platforms like Facebook, WhatsApp, and Instagram. Mark Zuckerberg’s comments, which came in a May 2025 podcast, have ignited a wide-ranging debate about the promises and perils of AI companions as a solution to the world’s loneliness epidemic, while raising searching questions for Thailand’s digitally savvy population.

Prompt engineering, a specialized field that soared to prominence alongside the rise of generative artificial intelligence (AI) like ChatGPT, is already facing an existential threat—one ushered in by the very technology it helped enable. According to recent analysis from Fast Company and commentary from industry leaders, prompt engineering is quickly being subsumed by the rapid evolution of AI models themselves, transforming from a discrete job to a skill that is quietly embedded in many traditional roles across a variety of industries.

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).

A new wave of powerful artificial intelligence systems from leading tech companies is increasingly producing factual errors. As these bots tackle complex tasks like reasoning and math, their tendency to generate misinformation—known as hallucinations—appears to be persisting or worsening. This trend is highlighted by a recent investigative report from a major publication.

For Thai audiences, the rise of chatbots and digital assistants touches everyday life, work, and education. When AI is used for medical guidance, legal information, or business decisions, these hallucinations can cause costly mistakes and erode trust.