This article addresses the growing interest in Artificial Intelligence (AI) majors, particularly among prospective undergraduates. It cautions against overly romanticized views of the field, highlighting the stark reality of current AI capabilities and the demanding curriculum requirements. The author, drawing from personal experience and observation, argues that a strong academic background, often found at top universities, is crucial for success in this field, while emphasizing the importance of realistic expectations.
The allure of Artificial Intelligence (AI) is undeniable. Hollywood films paint a vivid picture of intelligent machines, transforming our world in profound ways. But the reality of pursuing an AI degree is often far removed from the cinematic spectacle. This article isn't meant to discourage; rather, it aims to provide a grounded perspective for those considering an AI major, particularly the current crop of prospective undergraduates.
Recent inquiries about AI specializations and top universities have prompted me to write this. While I've avoided directly answering such questions, the persistent interest has made it necessary to address the complexities of this rapidly evolving field. The truth is, current AI systems, often labeled "weak AI," are far from the sophisticated creations depicted in science fiction. The field is deeply rooted in practical algorithms and often involves considerable technical mastery to achieve even modest results.
The current AI curriculum, while dynamic, is heavily focused on established techniques, primarily deep learning algorithms. While success stories abound in areas like computer vision (CV) and natural language processing (NLP), they represent the culmination of years of study and dedication. The path to achieving notable results is rarely straightforward.
The sheer amount of rigorous mathematical and computational knowledge required is often underestimated. While the conceptual aspects can be fascinating, the practical application demands a solid foundation in linear algebra, calculus, probability, and programming. Furthermore, the rapid pace of technological advancement necessitates continuous learning and adaptation.
While passionate interest is commendable, it's crucial to recognize the current limitations of weak AI and the demanding nature of the field. The author's personal experience suggests that a strong academic background is paramount. The rigorous curriculum often associated with top universities (985 and above) provides the necessary foundation and resources for students to thrive in this competitive landscape. This isn't to dissuade individuals from exploring AI; rather, it's a call for realistic expectations and a balanced perspective.
Ultimately, the decision to pursue an AI degree should be based on a genuine understanding of the field's current state, the demanding curriculum, and a personal commitment to the continuous learning and technical mastery required. For those considering this path, a solid academic foundation is a critical starting point. It is also important to acknowledge that the field is constantly evolving, and a willingness to adapt and embrace new challenges is essential for long-term success.
Summary: Recent reports from foreign TikTok users suggest a significant shift in the platform's algorithm and data transmission. Concerns are raised about whether TikTok's ownership or operational control has changed hands, despite claims that the algorithm itself and the platform's underlying data are untouched. This article analyzes the reported changes, considering potential explanations beyond a complete sale. It also examines the potential motivations behind Trump's and Biden's contrasting approaches to TikTok's future in the US.
Summary: This article explores essential software tools commonly used in seismology, encompassing both natural and exploration seismology. While not exhaustive, it highlights popular choices frequently appearing in research publications. Key software packages discussed include ObsPy for seismic data processing, GMT/PyGMT for visualization, and SPECFEM for numerical modeling.
Summary: A first-edition Labubu collectible toy sold for a staggering 108,000 yuan (approximately $15,000 USD) at a recent auction. This high price, reminiscent of past trends like the "violent bear" craze, highlights the speculative nature of the collectible toy market. The article analyzes the factors driving this inflated pricing and questions the sustainability of this "潮玩经济" (cháo wán jīngjì – trendy toy economy).
Summary: This article addresses the question of whether a female student should pursue a degree in Mechanical Engineering and Automation, specifically at a mid-tier, non-elite university. While the original Chinese response presents a somewhat humorous and hyperbolic perspective focused on the perceived scarcity of female students in this field, it ultimately offers a shallow and ultimately unhelpful analysis. This article argues for a more balanced and realistic approach to career planning, emphasizing the importance of individual skills, interests, and goals over perceived societal norms and gender stereotypes.
Summary: OpenAI's new ChatGPT Agent combines the analytical thinking of deep research with the operational efficiency of a dedicated assistant, offering a powerful tool for both professional and personal use. This "all-in-one" solution promises to streamline tasks, automate processes, and significantly enhance productivity, potentially revolutionizing how we interact with technology.
Summary: This article explores the profound impact of the Himalayas on the human experience, focusing on the breathtaking beauty of the mountain range and the challenges faced by those who journey to its summit. It also delves into the historical migration patterns of the Tibetan people, questioning the prevailing theories about their ancestral homeland.
Summary: This article explores the reasons behind a decline in appreciation for Billie Eilish among some fans, focusing on the evolution of her musical style, the perceived lack of substance in her music, and the criticism surrounding her Grammy wins. The author, a self-proclaimed "霉粉" (likely a fan of Taylor Swift), expresses disappointment in Eilish's increasingly dark and experimental sound, contrasting it with their initial attraction to her melancholic and atmospheric earlier works. The author also critiques the Grammy Awards' decision to award Eilish, highlighting a perceived disparity between her music and the recognition she received.
Summary: Bubble Mart, the Chinese collectible toy company, has experienced a significant downturn in its stock price and market capitalization, dropping from a once-lauded position to a more tempered valuation. Fueled by the popularity of its blind box collectibles, Bubble Mart achieved a phenomenal rise. However, the recent decline raises questions about the long-term sustainability of the company's success and the enduring appeal of its products. This article examines the factors contributing to the stock market's reaction and considers the future prospects of Bubble Mart and the blind box market.