#OpenAI

A pivotal debate is unfolding in Thailand: as AI tools increasingly generate code, does traditional computer science education still matter? Industry leaders say yes. They argue that formal CS study remains essential for developing deep computational thinking, robust problem-solving skills, and the ability to design reliable systems—capabilities that go beyond writing syntax. The message carries particular weight for Thailand’s ambitions to grow a resilient digital economy and for thousands of students charting technology careers in an AI-driven future.

Thailand’s students and educators grapple with a fundamental question as artificial intelligence transforms software development: Do traditional computer science degrees retain their value when AI tools can generate code automatically? Recent statements from OpenAI’s leadership provide decisive clarity on this debate, emphasizing that formal computer science education becomes more crucial, not less relevant, as AI reshapes the technology landscape. These insights carry particular significance for Thailand’s digital economy ambitions and the thousands of students considering technology careers in an AI-dominated future.

As artificial intelligence reshapes industries around the world, many students and parents in Thailand and beyond wonder if traditional computer science (CS) degrees remain relevant. Recent remarks by the chairman of OpenAI, one of the leading players in the global AI revolution, offer a reassuring perspective: formal computer science education is still crucial—even as AI tools increasingly automate much of the coding process (Business Insider).

The debate centers on a major change in the way software is built. AI-assisted coding tools such as OpenAI’s Codex, Anthropic’s Claude Code, Cursor, and Replit are designed to let engineers write less code by simply instructing AI systems with prompts and then reviewing the generated output. The vision of a “vibe-coding” future, where coding is driven by natural language rather than technical syntax, is advancing rapidly. At Google, for example, chief executive Sundar Pichai recently revealed that AI now writes 30% of the company’s new code.

During a recent appearance at the Federal Reserve’s Capital Framework for Large Banks conference, the chief executive officer of OpenAI delivered a stark prediction: artificial intelligence (AI) will not only transform work but will completely eliminate entire job categories in the coming years. Speaking candidly before top policymakers and financial leaders in Washington, the CEO emphasized AI’s relentless advance, signaling a fundamental shift in how societies—and economies—must prepare for a labor future remade by technology (The Guardian).

OpenAI, one of the world’s leading artificial intelligence developers, has sounded an alarm over the impending arrival of AI systems with powerful capabilities in the field of biology—warning that the next wave of models may reach a “high-risk classification” due to their potential for misuse, including the development of biological threats and weapons. This development marks a pivotal moment as AI becomes increasingly capable not just of assisting scientific research but also of introducing new biosecurity risks and ethical challenges that affect societies worldwide, including Thailand. (OpenAI, SiliconANGLE)

A major AI developer warns that next-generation models could fall into a high-risk category for biology. The concern is that advanced AI may unintentionally or deliberately enable the creation or manipulation of pathogens, raising new biosecurity and ethical questions for societies worldwide, including Thailand.

This message matters far beyond tech hubs. Thailand has invested heavily in biosciences, health security, and high-tech research. The country’s readiness now hinges on balancing AI’s potential to accelerate beneficial breakthroughs with the risk that misuse becomes easier for more people. The global scientific community agrees that as AI becomes more capable, policies must address both opportunity and harm.

The global debate over the risks posed by artificial intelligence (AI) has reached a new fever pitch, with leading researchers, tech executives, and policymakers openly questioning whether AI could one day pose a true existential threat to humanity. Recent studies and expert panels have challenged both alarmist and skeptical views—and reveal that public concern may be more nuanced than headlines suggest.

Recent months have seen questions about AI’s potential for disaster take centre stage in academic journals, global news media, and even in major tech conferences. The high-profile article “Behind the Curtain: What if predictions of humanity-destroying AI are right?” published by Axios, thrusts this conversation into urgent focus. The central question: What if the so-called “AI doomers” are correct, and humanity is genuinely at risk from the unchecked development of intelligent machines capable of self-improvement or unpredictable behaviour? This provocative scenario is not limited to science fiction; it now commands the attention of some of the world’s leading scientific minds and regulatory bodies.

A groundbreaking study by Harvard University has found that GPT-4o, OpenAI’s latest large language model, exhibits behaviors akin to human cognitive dissonance—a psychological phenomenon previously thought to be exclusively human. The findings, reported in the prestigious Proceedings of the National Academy of Sciences on May 28, 2025, raise fresh questions about how advanced AI systems process information and make decisions, carrying significant implications for Thailand’s growing embrace of AI-driven technology in education, health, and society at large (TechXplore).

A recent Harvard-led study suggests that GPT-4o, OpenAI’s newest large language model, exhibits behaviors resembling human cognitive dissonance. Published in the Proceedings of the National Academy of Sciences on May 28, 2025, the findings prompt fresh questions about how advanced AI processes information and makes choices. For Thailand, where AI is increasingly used in classrooms, clinics, and public services, the study raises important considerations for safeguarding reliability and trust in AI-powered tools.

A U.S. FDA initiative with technology group OpenAI signals a potential shift in how medicines are evaluated. Early discussions center on AI-enabled review tools that could speed up drug assessment and influence global standards, a development watched closely in Thailand and across Asia.

For Thai readers, the possibility that AI could shorten approval times matters. Medicines today can take more than a decade to reach patients. If AI helps streamline this process in the United States, Thai regulators may feel pressure to explore similar tools, especially as Thailand positions itself as a medical hub for regional patients and innovators.

The US Food and Drug Administration (FDA) is engaging in active discussions with technology company OpenAI as part of a broader push to modernize drug evaluation with artificial intelligence. According to recent reporting by Wired, such collaboration could mark a pivotal shift in how new medicines are reviewed—potentially reducing the time it takes to bring life-saving drugs to market, and setting global trends that are closely watched in Thailand and across Asia Wired.

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.

A new wave of “reasoning” AI models is showing a troubling trend: the more capable these systems become, the more likely they are to fabricate convincing but false information. This phenomenon, known as AI hallucination, is drawing fresh concern from users and industries worldwide, including Thailand.

For Thai readers who rely on tools like ChatGPT and other AI assistants in learning, work, and daily life, the stakes are high. When AI systems are embedded in banking, healthcare, media, and public services, a higher rate of invented facts can undermine trust, decision-making, and public information accuracy.

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.