The White House recently released an artificial intelligence (AI) action plan, outlining dozens of federal policy actions the Trump administration will take. The 23-page document is seen as marking a fresh start for the US government's policy approach to this transformative technology. On July 23, the White House released the "Winning the Race: America's Artificial Intelligence Action Plan" (hereinafter referred to as the "Action Plan"). President Trump also signed three executive orders, aiming to reshape and strengthen America's global leadership in artificial intelligence from three core aspects: federal procurement, infrastructure construction, and technology exports. Six months into Trump's second term, his highly anticipated AI policy is beginning to take shape. Like the previous Biden administration, the Trump administration recognizes AI as a key technology for national security and economic competitiveness, with policy goals aimed at maintaining America's technological leadership and winning the competition. However, in terms of specific tactics for winning the competition, the Trump administration's AI policy exhibits significant characteristics different from the Biden administration.

With the rapid development of artificial intelligence, the boundary between humans and machines is becoming increasingly blurred. While we enjoy the conveniences brought by AI, we also face numerous challenges. Sci-fi films have long ingrained the idea that robots will one day rule the world. Technology is advancing at an astonishing pace, pushing artificial intelligence and machine learning to the forefront of innovation. However, the idea that machines can replace humans is patently absurd. The Boundary between Machines and Humans: The Battle Between the Subconscious and Ambiguity The biggest difference between robots and humans lies in our subconscious. Human cognitive abilities must be built from scratch, while the subconscious is always present. Therefore, we need lifelong learning, as the more tools we master, the stronger our cognitive abilities and the greater our ability to resolve ambiguity.

Artificial intelligence (AI) is a discipline that aims to simulate and achieve human intelligence through computer technology. With the rapid development of core technologies such as machine learning, deep learning, and natural language processing, AI has gradually become a highly sought-after research focus in the global tech community. Top talent from around the world gathers at renowned AI labs worldwide to advance research in this field and contribute to the continued advancement of AI technology. Artificial intelligence (AI), as one of the most sought-after technological fields in the world today, is driving the progress of human society at an unprecedented pace. In this process, AI laboratories play a crucial role.

When generative AI can complete work reports in just 10 seconds that would take humans two hours, and when algorithms begin screening resumes faster than experienced HR professionals, a silent workplace revolution is unfolding globally. From Silicon Valley tech giants to Southeast Asian startups, from manufacturing workshops to financial trading floors, AI is redefining the boundaries of "work," bringing exponential increases in efficiency but also triggering deep anxieties about career survival. With the rapid development of artificial intelligence technology, traditional work models are facing unprecedented changes. AI is not only changing productivity, but also reshaping the core logic of occupational division and talent demand. In this new era, work is no longer limited to fixed processes and repetitive tasks, but needs to be "defined"—from skill structure to collaboration methods, from value creation to career boundaries, every aspect is undergoing profound reconstruction.

From alleviating loneliness among the elderly to providing personalized emotional support, the rapid development of artificial intelligence (AI) is gradually entering the human spirit, applying it to emotional companionship and mental health. However, this has also sparked numerous controversies: Does AI simply generate care and responses based on data analysis, or can it truly understand the complexities of human emotions? Will it change the way humans build real relationships, leading to greater loneliness? When human emotions are manipulated by AI, does it pose a threat to life and safety? Digitalization and intelligentization are increasingly leading to the virtual expression of human emotions. While AI offers new possibilities for emotional support, it also carries potential risks. How to effectively utilize intelligent technology in the spiritual realm has become a crucial issue that requires urgent consideration.

As the wave of intelligence and digitalization sweeps the globe, artificial intelligence (AI) is ubiquitous: from smartphones to back-end systems in business operations, from self-driving cars to precision medicine, AI is profoundly changing our lifestyles. However, while this technological revolution brings convenience, it also poses unprecedented challenges to privacy protection. So, in this era of both opportunity and risk, can we still protect our privacy? Artificial intelligence (AI), based on big data and relying on massive amounts of personal, image, text, and sensor data, leverages powerful data analysis capabilities to serve as a crucial tool for promoting high-quality economic and social development. While significantly enhancing the ability to acquire, mine, and share information, AI also increases the risks of data misuse and privacy breaches.

Human emotions are both a reality in everyday life and one of science's most complex mysteries. Whether it's anger, joy, sadness, or love, each emotion taps into a deep recesses of the brain. Yet, compared to the complexities of human emotion, artificial intelligence (AI) can seem somewhat naive. But with the advancement of emotion AI, this "purely rational" machine is edging closer to a crucial breakthrough: Can AI truly understand the human brain's emotions? When we talk about artificial intelligence, the first things that come to mind might be smart voice assistants, accurate recommendation systems, or omnipotent robots. But what if one day these machines no longer just "execute instructions," but can sense your bad mood, detect the anxiety in your tone, and even proactively comfort you—would you feel at ease, or a little uneasy?

Artificial intelligence (AI), as one of the most disruptive technologies of the 21st century, is profoundly impacting the global economic and social landscape. Globally, several tech giants have demonstrated exceptional technological capabilities and commercial prospects in the AI field. In large language models, we expect the model to understand the general rules of human language, thereby producing expressions similar to humans. This is achieved through training with large amounts of data to learn the underlying patterns. When training pre-trained models, there are typically two options to improve the performance of large language models: increasing the dataset size and increasing the number of parameters in the model. Furthermore, there is a constraint during training: training cost, such as the number of GPUs and the available training time. Therefore, the pre-training of large language models usually involves a trade-off between model capacity, data volume, and training cost.

In today's rapidly evolving technological age, creativity is being redefined at an unprecedented pace. In 2025, we stand at a new historical juncture, witnessing the boundaries of creativity being continuously expanded, traditional rules being rewritten, and new trends being forged. While technology offers unprecedented possibilities for creativity, true innovation is still driven by the human mind and heart. Creativity is no longer simply about following trends; it has become a powerful force that leads them and shapes the future. Recently, generative artificial intelligence, represented by large-scale models, has shown remarkable performance in generating content similar to human language. Cutting-edge versions such as GPT-4 and Sora have not only demonstrated creativity surpassing humans in text creation but have also shone brightly in video creation. Recent research shows that in standard tasks measuring divergent thinking, the scores of leading large-scale models have entered the top 1% of human responses. Faced with these breathtaking and overwhelming advancements in generative artificial intelligence, we are compelled to re-examine our existing understanding of creativity.

With the rapid advancement of technology, robots have gradually evolved from the fantasy of science fiction to a commonplace in real life. We marvel at their precise manipulation, efficient calculations, and tireless work. However, as we celebrate these technological advancements, a deeper and more sobering question arises: What would it be like if robots acquired self-awareness? Would this be a new era for technology, or the end of humanity? Consciousness is the most defining attribute of human life, but it is also a profoundly lost path in science. Some believe it is a gift from God, the most sacred entity in the universe; others firmly argue that consciousness is a "byproduct" of the complex brain structure of carbon-based organisms and is nothing mysterious. These two seem contradictory, but this debate is destined to remain unresolved, like a boxing match with no end in sight.

With the rapid development of artificial intelligence (AI), we are facing an unprecedented challenge: the future showdown between silicon-based intelligence and human intelligence. In this battle, how human decision-makers will respond to the rise of AI, and how this showdown will shape our future, has become a focus of global attention. "Humanity's fate cannot be determined by algorithms" reflects a profound reflection on the potential risks and challenges posed by AI and algorithms at social, ethical, and philosophical levels. While algorithms can improve efficiency, accuracy, and objectivity in many fields (such as healthcare, finance, and logistics), over-reliance on algorithmic decision-making can lead to unpredictable and negative consequences given the complexity of human society, ethics, and free will.

With the rapid development of artificial intelligence technology, people generally expect future work to become exceptionally simple and easy.However, is this prediction truly accurate? Are we about to enter a work paradise or a utopia? In 2025, the development of artificial intelligence (AI) technology garnered widespread attention. In his latest blog post, "The Mild Singularity," OpenAI CEO Sam Altman outlined an optimistic vision for the future, predicting that by 2027, intelligence will be as ubiquitous as electricity, robots will take on more real-world tasks, and scientific discovery will accelerate. This vision emphasizes the potential of AI to improve the quality of human life; however, it also raises profound reflections on social structures, wealth distribution, and their impact.

With the rapid development of artificial intelligence (AI), medical education is undergoing a profound transformation. As a disruptive technology, AI is not only changing medical practice itself but is also gradually reshaping how medical students learn, the content of their education, and the methods used. Artificial intelligence is reshaping human society at an unprecedented pace, and the transformations in education and healthcare, as core areas concerning national welfare and people's livelihoods, are particularly noteworthy. Currently, AI has enabled intelligent tutoring and homework correction in education, and assisted in image diagnosis and drug development in healthcare; but this is just the beginning. Looking to the future, the potential of AI in education and healthcare will far exceed imagination, not only driving an efficiency revolution but also reshaping the underlying logic of social equity and human well-being.

From the US Atomic Energy Commission's 1958 plan to use nuclear explosions in buildings to Google Glass, history is littered with short-lived projects and technologies. However, artificial intelligence (AI) is clearly not one of them, as it continues to assert its presence. Recently, the British journal Nature Outlook published a lengthy article describing how AI is gradually permeating our daily lives, while people are both enjoying and fearing it. Amid this sentiment, technologists driving the next automation revolution need to confront a serious question: what will the public want next?The rapid development of artificial intelligence (AI) has prompted people to question the fundamental limitations of this technology. A topic that once existed only in science fiction—the concept of superintelligent artificial intelligence—is now being seriously considered by scientists and experts.

Artificial intelligence (AI) is a technology that can simulate and perform tasks performed by human intelligence. While its intelligence is formidable, it will never surpass humans. The fundamental reason lies in the fundamental differences between humans and machines. Turing Award winner Richard Sutton pointed out that large language models are "unfocused imitators," mimicking human language solely through statistical matching. For example, they might simultaneously generate the expression "man riding a horse" and "astronaut riding a dinosaur," unable to determine which corresponds to the actual logic of the physical world. They are like "ghosts trapped in a maze of linguistic symbols." Lacking interaction with the real world, they can never truly understand the content, let alone develop human-like causal cognition.