Author: lethuphuong

📌 In tests conducted on large AI models such as OpenAI, Google Gemini, Qwen, Llama, and DeepSeek, Polish achieved an average accuracy of 88%, the highest among all 26 tested languages. English only ranked 6th, despite being widely considered the main language for AI training. Conversely, Chinese was a surprise, falling into the lowest group, ranking 23rd out of 26. This difference may stem from the rich and varied grammatical structure of Polish, which helps AI determine user intent more accurately.

📌 JPMorgan Chase is leading the AI-first wave in finance, with $18 billion invested and nearly 125,000 daily AI users. The LLM Suite is transforming the work culture, resulting in a 30–40% annual productivity increase. However, major challenges include security, AI ethics, and the ability to control increasingly powerful autonomous agentic systems.

📌 CampusAI is leading the trend of “mass AI upskilling,” bringing AI training from the engineer level down to blue-collar workers. With its “learning metaverse” model and digital twin of schools, this Polish startup aims to empower everyone with AI and build a “human + AI” culture rather than an “AI replacing human” one.

📌 AI corporations like Amazon, Microsoft, or xAI are using Non-Disclosure Agreements to conceal data center projects, leaving residents unaware of what they are living next to. With projects consuming up to 2.2 gigawatts of electricity and millions of liters of water, this “secrecy for competition” strategy is trading community trust and the living environment for the speed of AI expansion.

📌 After years of stagnation, Nokia is “reborn” thanks to AI: the AI infrastructure segment accounts for 6% of revenue and will soon surpass traditional telecommunications. Nokia’s stock has risen 50% since July 2025, currently trading at 17 times expected 12-month earnings, nearly on par with Cisco (17.5 times) and higher than Ericsson (13 times). Nokia is seen as the “Cisco of Europe” — evidence that AI can save a once-failing telecom empire.

📌 With the fastest AI adoption rate globally, Southeast Asia is seen by Google as a “new growth engine.” From agriculture to healthcare, education, and energy, Google and DeepMind’s programs are helping the region transform AI momentum into sustainable, inclusive, and responsible growth, moving toward a prosperous digital future.

📌 The rise of AI is reshaping the global economy: “giants” like Amazon and Microsoft benefit from a 5.5% increase in productivity and a 74% surge in stock prices, while small businesses face pressure with a 12.3% decrease. This technology gap risks turning AI into a new “class barrier” in the labor market and productivity.

📌 From the “social media era” to the “artificial intelligence era,” Sam Altman’s role has transcended technology – he is shaping how we think, write, and express ourselves. If Zuckerberg once taught humanity to “live online,” Altman is now making us “think with machines,” turning AI into a co-creator of thought – and perhaps, the true Minister of Ideology of the digital age.

📌 DeepSeek is making a breakthrough by entering Africa via Huawei Cloud thanks to being many times cheaper than OpenAI, energy-saving, running on low-cost hardware, opening up AI access opportunities for millions of people. Huawei has integrated DeepSeek into its hosting and cloud computing service package, offering multiple access tiers: free, hourly charge, or installation of a private cloud system for government agencies. Unlike OpenAI or Google, China chooses an open-source AI approach: allowing code modification, royalty-free, focusing on emerging markets like a digital version of the “Belt and Road Initiative.”

📌 China is closing the technology gap with the US thanks to open-source AI, a massive domestic market, and the ability to optimize older hardware. China currently accounts for 14 out of the world’s top 20 AI models in reasoning, math, knowledge, and programming – with 9 being open-source models, while the US has no open-source models in this group. China leads in practical applications and AI exports to developing countries, especially in Asia, Africa, and Europe, where Alibaba and Huawei build data centers and low-cost cloud computing platforms. Beijing also exports its AI governance standards based on “Chinese values,”…