Artificial intelligence is sweeping across the globe at an unprecedented speed, but a significant issue is becoming increasingly prominent: while general-purpose AI is proficient in many skills, it often struggles with specific regional cultures and languages. This is particularly true in culturally and linguistically diverse areas such as the Middle East and South Asia, where users urgently require AI models that understand the 'local language'. Although large general models can handle multiple languages, they often reveal a lack of cultural depth and in-depth regional knowledge when dealing with scenarios rich in regional context.

Recently, the Malaysian Customs Department installed 40 state-of-the-art luggage scanners at major entry points nationwide, with a total investment of up to 40.72 million ringgit. Customs Director General Ahnis Rizana stated at a press conference on September 27 that these scanners equipped with artificial intelligence (AI) technology significantly enhance the detection capabilities for travelers' luggage and belongings, effectively combating smuggling activities, including the trafficking of banned items such as drugs. Image source note: Image generated by AI, image licensed from service provider Midjourney. She mentioned that these 40 scanners began operations in May.