Author: lethuphuong

📌 California Governor Gavin Newsom harshly criticized President Donald Trump’s executive order on AI, arguing that it promotes “grift and corruption” rather than innovation. While the federal administration wants to block state laws to “protect AI dominance,” lawmakers, unions, and social organizations warn of the risk of removing safety rails and granting excessive power to Big Tech. This controversy shows that the US still lacks a comprehensive federal AI policy framework, making a legal battle almost inevitable.

📌 Warning that the premature adoption of the “one student, one chatbot” model may contradict decades of educational research. Learning science research shows that learning is inherently a social process, not just an individual cognitive activity. In the classroom, discussion, debate, and listening to peers help enhance brain health and learning outcomes. Technology should only support, not erode, the foundations of social learning and the holistic development of children.

📌 Generative AI is giving “superpowers” to small businesses: reducing branding time by 90%, saving tens of thousands of dollars in design costs, and opening a new era – where every founder can become a designer, and brands are formed instantly from the first idea. The 5 fastest-growing AI design sectors include: naming, logo, website, brand assets, and visual presentations.

📌 Saudi Arabia is placing a big bet on sovereign AI by developing the data embassy model, where other nations’ data is stored in Saudi Arabia but remains under the legal jurisdiction of the owning country. Saudi Arabia proposed the “Global AI Hub Law” in April 2025, suggesting three levels of legal protection for data embassies: from full autonomy to hybrid legal protection supported by Saudi courts. If the law is passed, Saudi Arabia will become the first G20 nation to have a specific legal framework for data embassies.

📌 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.