#Generativeai

A sweeping new analysis of more than 1.1 million scientific papers and preprints finds that the use of large language models (LLMs) to write or edit manuscripts rose sharply after the launch of ChatGPT in late 2022, with roughly 22.5% of computer science abstracts showing statistical signs of LLM modification by September 2024. The study applied a word‑frequency model trained to detect subtle linguistic fingerprints left by AI tools, and it uncovered fast-growing use across many fields — a trend that poses practical questions for research integrity, peer review and academic practice in Thailand as research institutions and journals grapple with both the promise and the pitfalls of generative AI.

A sweeping analysis of more than 1.1 million papers shows that large language models began shaping abstracts after ChatGPT’s launch in 2022. By September 2024, about 22.5% of computer science abstracts bore statistical signs of AI modification. This research used a word-frequency model to detect subtle linguistic fingerprints left by AI tools, revealing rapid uptake across fields and raising questions about integrity, peer review, and scholarly practice in Thailand.

For Thai readers, the takeaway is direct. Thailand is building AI capacity and increasing research output in science and engineering. If one in five computer science papers globally shows AI-influenced text, Thai universities, funders, and journals must craft clear policies to protect quality, while leveraging AI to improve writing without risking hallucinated claims or undisclosed authorship. The study’s pace suggests Thai researchers may already use generative tools in drafting, editing, and translation—sometimes transparently, sometimes not—and this matters for trust, reproducibility, and the credibility of Thai scholarship.

A new New York Times roundup of 21 concrete ways people are using artificial intelligence at work shows how rapidly generative models and custom A.I. systems have moved from curiosity to daily tools — speeding routine tasks, augmenting specialist skills and nudging whole professions to rethink how work gets done ( New York Times interactive: “21 Ways People Are Using A.I. at Work” ). From chefs choosing wines and designers fixing photographs, to doctors dictating clinical notes and prosecutors checking paperwork, the examples make a clear point: A.I. is not a single future event but thousands of small, pragmatic changes already affecting work lives. For Thai employers, educators and policymakers, the challenge is to capture productivity gains while managing risks to equity, skills and public trust.

A quiet revolution is sweeping through Thailand’s corporate landscape, fundamentally altering how millions of professionals approach their daily responsibilities. From the gleaming towers of Bangkok’s financial district to bustling family restaurants in Chiang Mai’s old quarter, artificial intelligence has evolved from experimental novelty to indispensable business tool, driving unprecedented productivity gains while creating new pathways for economic advancement across the kingdom.

Recent workplace transformation studies reveal twenty-one distinct AI applications now transforming Thai professional environments, demonstrating measurable impacts on efficiency, creativity, and strategic decision-making. These technological innovations are reshaping entire industries while generating critical insights for Thai employers, educational leaders, and government officials seeking to harness AI’s potential while safeguarding workforce development and maintaining public trust in emerging technologies.

A quiet but sweeping change is reshaping Thailand’s business landscape. From Bangkok’s financial districts to Chiang Mai’s markets, artificial intelligence has moved from a novelty to a core tool, boosting productivity and opening new economic avenues across the nation.

Research indicates AI now touches twenty-one distinct workplace applications in Thai professional life, delivering tangible gains in efficiency, creativity, and strategic planning. These innovations are reshaping industries and offering insights for employers, educators, and policymakers as Thailand seeks to balance rapid adoption with responsible workforce development and public trust.

The surge of generative artificial intelligence platforms like ChatGPT is transforming how students in Thailand and around the world approach learning, challenging the long-standing dominance of traditional study guides and educational aids. OpenAI’s recent launch of a “study mode” for ChatGPT, designed as a virtual tutor leveraging the Socratic method, alongside Google’s suite of new study tools, signals the growing shift from textbooks and online homework helpers toward AI-powered platforms. This development, echoing trends in Western academic communities and now quickly gaining traction among Thai university and high school students, has broad implications for the future of education in the Kingdom.

A quiet transformation is reshaping Thai universities as AI-powered study tools influence how students learn. Among them, ChatGPT’s study mode echoes Socratic questioning, signaling a shift from memorization toward dialogue-driven understanding. This evolution intersects with long-standing Thai educational values—respect for teachers and structured study—while opening doors to algorithmic assistance that could redefine learning for generations.

Global education platforms are feeling the pressure. Industry leaders report workforce adjustments as students flock to AI-enabled solutions. Major publishers and tech firms are shifting toward adaptive tutoring and goal-oriented AI features, moving away from traditional online homework formats. The trend signals a broader move from passive information receipt to interactive exploration in Thai classrooms and beyond.

A quiet revolution unfolds in Thailand’s university libraries and dormitories as artificial intelligence fundamentally reshapes how students approach learning. OpenAI’s sophisticated ChatGPT study mode, designed to emulate the ancient Socratic questioning method, represents just one facet of a technological transformation that challenges centuries-old educational practices across the Kingdom. This shift from textbook memorization to AI-powered dialogue marks a pivotal moment for Thai academia, where traditional respect for teachers and structured learning now intersects with algorithmic assistance. The implications extend far beyond individual study sessions, potentially redefining Thailand’s educational identity for generations of students who will navigate careers in an increasingly AI-integrated world.

The University of Washington’s (UW) Paul G. Allen School of Computer Science & Engineering has become a leading example of how academic institutions are radically rethinking computer science education to meet the demands of the artificial intelligence (AI) revolution—an era where, some argue, “coding is dead” and the value of conventional programming is being transformed by generative AI technologies like ChatGPT. This evolution not only reshapes the way students are taught but also raises urgent questions for Thai educators, institutions, and policymakers about how to prepare local graduates for a rapidly changing job market increasingly shaped by automation and intelligent systems.

A leading American university is reshaping computer science education to meet the AI revolution. The shift moves away from traditional coding toward higher-order thinking, system design, and problem definition. Thai educators, institutions, and policymakers face the same challenge: how to prepare graduates for a job market increasingly shaped by automation and intelligent systems.

AI adoption across sectors is prompting universities to revisit curricula that once focused on syntax and programming. Industry signals and workforce adjustments underscore the real-world impact of this shift. According to the university’s director, the emphasis is transitioning from rote coding to the ability to conceptualize problems, design robust systems, and make nuanced decisions. Thai universities are already digital transform engines for businesses, government, and society, so this approach resonates locally.

A new study has uncovered a provocative link between “dark” personality traits and the use of generative artificial intelligence (AI) among university art students, sparking debate about academic integrity and the psychological pressures facing creative students in the digital age. The research, conducted among over 500 art students at leading universities in Sichuan, China, found that those with higher levels of narcissism, Machiavellianism, psychopathy, and materialism are significantly more likely to engage in both AI-assisted academic misconduct and behaviors such as plagiarism and procrastination. These patterns were also closely associated with heightened academic anxiety and frustration, suggesting a troubling cycle that may be intensified as AI technology becomes more accessible.

A new study links “dark” personality traits with higher use of generative AI among art students, raising questions about academic integrity in creative fields. Researchers surveyed over 500 art students across six universities in Sichuan, China, finding that narcissism, Machiavellianism, psychopathy, and materialism correlate with AI-assisted misconduct such as plagiarism and procrastination. The results suggest anxiety and frustration push students toward AI as a coping tool, especially as access to AI grows.

A wave of change is reshaping Thai computer science programs as universities prepare graduates for an AI-driven landscape. Generative tools like ChatGPT demonstrate how code can be produced and questions answered with human-like fluency, pushing institutions to rethink what students must learn for success in tech roles.

The job market is evolving, and traditional CS curricula face fresh pressures. Coding alone no longer suffices as AI automates many entry‑level tasks. Leading universities worldwide are redesigning curricula to emphasize critical thinking, AI literacy, and cross‑disciplinary skills, a trend now resonating across Thailand.

As artificial intelligence (AI) technologies like ChatGPT shake up global academia, leading computer science faculties—including those at top international institutions—are urgently reassessing what it means to educate the next generation of tech talent. The shift, driven by the rapid rise of generative AI tools that can write code and answer questions with humanlike fluency, is sparking debate across universities in Thailand and worldwide about what computer science students truly need to learn to thrive in the AI era (New York Times).

Public resistance to generative AI is intensifying as concerns about job displacement and social harms rise. Global demonstrations and consumer sentiment point to a broader worry that AI’s rapid expansion may harm people more than it helps. In recent weeks, backlash against Duolingo’s AI-first shift and protests over data center pollution have highlighted a broader debate around the social and ethical costs of automation, with Thai audiences watching closely to see how these dynamics unfold.

A surge of public resistance to generative artificial intelligence (AI) has been gaining momentum, with consumers, workers, and local communities voicing sharp criticism against what many see as the unchecked advance of disruptive technology. Recent events, such as the backlash against Duolingo’s shift to an “AI-first” model and the mounting protests over data center pollution, underscore a growing sentiment that AI is beginning to harm more lives than it helps, stirring wide-ranging debates in both the digital and physical worlds (Wired).

Meta has turned private AI prompts into a public, social experience. Its new AI site lets users share prompts and generated content in a feed similar to social posts. This marks a shift from the private use of generative AI tools like ChatGPT, Google Gemini, or Claude, where prompts stay with the user unless shared intentionally.

This development reframes human-AI interaction for a broad audience. In Thailand and across Asia, social features on AI platforms could influence how people learn, create, and communicate online. As Thai schools and workplaces increasingly adopt AI for education, health, and creative tasks, understanding public prompting becomes more relevant. Meta’s social feed aims to lower barriers for “AI newbies” by making the process visible and encouraging experimentation. Yet it also raises questions about privacy, content quality, and digital culture.

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.