Đề Tiếng Anh ôn thi tốt nghiệp THPT năm 2025- Mã đề thi THPT-62

(18) __________. Officially designated Super Bowl I in 1967, the game (19) __________ has evolved into an unofficial national holiday. With viewership consistently exceeding 100 million in the US alone, it's a testament to the widespread appeal of American football and the pageantry surrounding the event.

One key factor contributing to the Super Bowl's immense popularity is the halftime show. Transcending the realm of sports, it features elaborate musical performances by some of the world's biggest stars. From Michael Jackson's groundbreaking 1993 performance to (20) __________, the halftime show is a cultural event in its own right, often generating as much discussion as the game itself.

Adding to the excitement, the Super Bowl is also a goldmine for advertisers. Companies vie for coveted commercial slots, often creating elaborate and memorable ads specifically for the event. In 2023, a 30-second commercial could cost upwards of 7 million dollars, reflecting the massive audience reach and potential for brand exposure. These high-stakes commercials have become part of the Super Bowl tradition, (21) __________ who often discuss and analyze them just as passionately as the game's most exciting plays.

(22) __________. Whether cheering for their favorite team, enjoying the halftime show, or bonding over hilarious commercials, Americans from all walks of life find something to enjoy in this annual spectacle.

The rapid advancement of artificial intelligence (AI) presents exciting opportunities but also necessitates careful consideration of its ethical and societal implications. The global landscape of AI regulation is therefore incredibly dynamic, with various countries and organizations developing their own approaches. The European Union (EU), for example, has proposed the AI Act, a comprehensive piece of legislation aimed at mitigating risks associated with AI systems. This act categorizes AI applications into different risk levels and outlines specific requirements for each level.

One of the key challenges in regulating AI stems from its global nature. AI technologies often transcend national borders, making it difficult for any single country to effectively regulate the entire field. For instance, a social media company headquartered in the United States might utilize AI algorithms developed in China to moderate content for users in Europe. This interconnectedness highlights the need for international cooperation and collaboration in establishing common standards and guidelines.

Several organizations are actively involved in shaping the global governance of AI. The Organization for Economic Co-operation and Development (OECD) has developed AI principles that emphasize responsible stewardship of trustworthy AI. Similarly, the United Nations has formed a panel of experts to examine the impact of AI on human rights and propose recommendations for its ethical development and deployment.

While a universally accepted framework for AI regulation remains elusive, efforts towards its establishment are undeniably crucial. As AI becomes increasingly integrated into our lives, it is essential to strike a balance between fostering innovation and safeguarding against potential harms. Global dialogue, ethical considerations, and a commitment to responsible AI development will be paramount in navigating this complex landscape.

[I] The future of food security is inextricably linked to the advancement of sustainable agricultural practices. [II] As the global population continues to swell up, placing increasing pressure on existing resources, the need for innovative and environmentally conscious farming techniques becomes ever more critical. [III] This necessitates a shift towards practices that minimize environmental impact while maximizing output. [IV]

One promising avenue for achieving this balance lies in the adoption of precision agriculture. This involves utilizing technology such as GPS, sensors, and data analytics to optimize resource allocation and crop management. By precisely targeting water and fertilizer application, farmers can reduce waste and minimize the negative consequences associated with chemical runoff and overuse. Furthermore, precision agriculture enables real-time monitoring of crop health, allowing for early detection of pests and diseases, and facilitating timely interventions that can prevent widespread crop damage.

Another crucial aspect of future farming involves embracing climate-smart agriculture. This encompasses a range of practices designed to enhance resilience to climate change and reduce agriculture's contribution to greenhouse gas emissions. Examples include no-till farming, which minimizes soil disturbance and improves carbon sequestration, and the integration of agroforestry systems, which combine trees and crops to enhance biodiversity, improve soil health, and create more resilient farming landscapes. These methods not only contribute to mitigating climate change but also enhance farm productivity and profitability in the face of increasing environmental challenges.

Ultimately, the future of renewable farming techniques hinges on a multi-faceted approach that integrates technological innovation with ecological principles. By investing in research and development, promoting farmer education, and implementing supportive policies, we can foster a transition towards more sustainable and resilient agricultural systems. This will be crucial for ensuring food security, protecting environmental health, and building a more sustainable future for generations to come.