Author: lethuphuong

📌 Experts refute the argument that “AI makes humans stupid,” considering it merely a “moral panic” designed to cover up the failures of the education system. The argument that using ChatGPT leads to “cognitive debt,” implying humans are losing thinking capacity, is described as hyperbole, comparable to the fears once attached to Google, TV, computers, and pocket calculators—all accused of “dumbing down humanity” in the past. Global literacy rates have risen from 12% in 1820 to 87% today, proving humans are not getting stupider—but rather accessing knowledge more easily. Everyone can learn any subject given the right method; the problem…

📌 Although AI coding agents have revolutionized code generation, limitations regarding context, system awareness, and enterprise compliance prevent them from operating independently in production. Businesses need to use them “wisely”—leveraging AI to draft and automate tedious parts, while still relying on engineers to verify, secure, and design sustainable systems.

📌 Nano Banana Pro, Google’s new AI image generation tool, is sparking controversy after being found to create images containing racial prejudices and the “white saviour” motif in contexts related to humanitarian aid in Africa. The incident shows that image AI still reproduces racial stereotypes and Western power dynamics, turning the “white volunteer” into a central symbol in the context of African poverty. Experts warn that without strict oversight, AI could inadvertently perpetuate the “white saviour” trope, distorting the image of justice, humanity, and global culture in the age of generative AI.

📌 With a plan to produce 60 trillion tokens (equivalent to 60% of global AI output) and a 5GW data center, the UAE not only wants to lead in AI infrastructure but also shape an “intelligence economy,” where tokens become the new unit of value – similar to the role of oil in the 20th century. The UAE’s “intelligence factory” goal marks a shift from an energy nation to a global data and artificial intelligence powerhouse.

📌 The AI academic world is facing an “AI slop” crisis – a large volume of worthless research born from competitive pressure and the abuse of generative AI. As tens of thousands of “virtual” papers flood prestigious conferences, trust in scientific quality is wavering. There are warnings that “academic hyper-productivity” is being wrongly glorified, causing students and faculty to race for publication rather than conducting genuine research.

📌 Global copper demand is skyrocketing as AI data centers and green grid infrastructure use massive amounts of copper: 27–33 tons/MW, more than double that of conventional data centers. It is forecast that by 2050, copper usage in data centers will increase sixfold. Supply is stagnant: Old mines are depleting, and new mines are rare. By 2035, production from existing mines is forecast to meet only 70% of demand. China controls 50% of global copper smelting capacity and 58% of demand in 2025, and is seen as the “gatekeeper” of the global copper supply chain.

📌 In 2025, keywords selected by leading dictionaries such as Oxford, Cambridge, Macquarie, and Dictionary.com all reflect skepticism and fatigue regarding digital life – a trend that can be called “digital nihilism”. These “words of the year 2025” are not just linguistic reflections but also a mirror for social psychology in the AI era: where humans are lost amidst fake information, manipulated emotions, and trust in the online world is gradually collapsing. Macquarie Dictionary selected “AI slop” – low-quality content generated by AI, often containing errors, spreading rapidly online without being requested by users.

📌 Malaysia is transforming from a “technology follower” to a creator of a native AI ecosystem. The government is partnering with Nvidia to build a 600MW data center in Kulai, Johor, equipped with Nvidia NVL72 Grace Blackwell (GB200) GPUs – the highest-end chip series currently available, located in the Green Data Center Park. The government has allocated 1.24 billion USD in the 2026 budget to develop AI infrastructure, cloud computing, and industrial applications, aiming to increase productivity and global competitiveness.

📌 Singapore’s Minister for Digital Development and Information stated that those who lose their jobs due to the impact of AI will receive an allowance of up to 3,000 SGD/month (approx. 2,200 USD) for 2 years, giving them time to upskill and reorient their careers. This initiative is part of the SkillsFuture Level-Up Programme, designed to combine income support with specialized training, especially for workers aged 40 and above. Singapore becomes the first country in Asia to implement a comprehensive income support package for workers displaced by AI, combining retraining and social security.

📌 China’s UBTech company partnered with the humanoid robot center in Fangchenggang – a city bordering Vietnam – using the Walker S2 model launched in July. This is the world’s first robot capable of fully automatic self-battery-swapping in 3 minutes, carrying a load of 15 kg in each hand, with a speed of 7.2 km/h and hands capable of manipulation accuracy of less than 1 mm. Walker S2 is being piloted at border crossings to guide visitors, manage human traffic flow, assist with patrols, handle logistics, and support commerce; while also conducting inspections at steel, copper, and aluminum factories.