Author: lethuphuong

📌 The Indian Ministry of Education is rolling out 5 free AI courses for students, lecturers, and data science professionals, aiming to help learners enhance their digital skills and practical AI application. The Government of India is democratizing AI education, paving the way for millions of learners to access generative AI and machine learning technology, helping students, teachers, and professionals adapt to the AI-driven job era.

📌 About half of Australians (45.6%) have used generative AI, with 13.6% of users paying for premium AI versions, yet differences in age, education, and geographic location are forming a pronounced “AI gap.” Without policies to enhance digital skills and AI literacy, vulnerable groups may be left behind, becoming susceptible to deepfakes, AI scams, and losing socio-economic opportunities.

📌 The Indian Ministry of Electronics and Information Technology recently announced its National AI Governance Guidelines aimed at fostering “innovation with guardrails” with 7 core principles of AI: trust, human-centricity, responsible innovation, fairness, accountability, interpretability of LLMs, and safety – sustainability – flexibility. India has no immediate plans to enact a separate AI law. The 6 recommendations from the guidelines include expanding AI infrastructure, AI training, building a flexible governance framework and an India-specific AI risk assessment framework, transparency of the AI value chain, and establishing an AI incident monitoring and reporting agency for cybersecurity.

📌 The acceptance or fear of AI stems from the psychology of control, identity, and trust experience. As long as AI remains a “black box,” people will be reserved. Only when the technology becomes transparent, allowing users to ask, understand, and intervene, will AI be seen as a reliable partner, rather than a cold threat.

📌 AI is shaking the very foundation of the PhD degree – the highest symbol of independent thought. When machines can analyze, write, and create, the true value of a doctoral researcher will lie in their ability to think critically, frame problems, and control the AI. The format of thesis defense, live critique, and real-time problem-solving may become more important than the traditional written dissertation.

📌 Shadow AI is the use of AI tools by employees that are not approved or monitored by the IT or security department. 91% of Malaysian businesses use AI, but over a third have Shadow AI — a “dark area” potentially leading to internal data leaks. Leaders should guide instead of prohibit: provide approved, safe, and monitored AI tools so employees don’t have to “sneak use” AI outside the system.

📌 Malaysia officially completed the Nvidia-powered data center in Kulai (Johor state), located within the 600 MW YTL Power Green Data Park. The center is equipped with liquid-cooled Grace Blackwell (GB200) NVL72 GPUs – Nvidia’s leading technology, combined with the Malaysian-developed large language model ILMU, aiming for sovereign AI. The government allocated $1.23 billion USD in the 2026 budget to accelerate AI infrastructure development, linked to the National Industrial Master Plan.

📌 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.