Has the development of artificial intelligence reached a bottleneck? Anthropic co-founder Jack Clark recently stated in a newsletter that this is not the case. He believes that the recent release of OpenAI's o3 model indicates that AI development is not slowing down, but may in fact be accelerating. Clark refuted claims that AI development is reaching its limits in his newsletter called 'Import AI.' He wrote, 'Anyone telling you that progress is slowing down or that expansion is hitting a bottleneck is wrong.'
Hawaii public schools recently piloted an artificial intelligence project, the results of which left a deep impression on education leaders and even moved them. Six teams of 80 students from elementary, middle, and high schools across the islands were tasked with identifying challenges faced by their peers and creating an AI program or "chatbot" to help find solutions. The project was co-created by Ian Kitajima, president of the Pacific International Center for High Technology Research. Hawaii Public Radio (HPR) interviewed Kitajima to learn more.
Recently, a research team from the Fraunhofer Institute for Process Engineering and Packaging in Germany developed an artificial intelligence molecular scent prediction algorithm called OWSum, which successfully distinguishes American whiskey from Scotch whiskey, surpassing human experts in accuracy. The team trained this AI tool using flavor descriptions and chemical data of whiskey to explore its potential in whiskey identification. Image source note: The image was generated by AI, and the image licensing provider Midjourney was involved in the study, where researchers selected 16 samples.
Thailand's Ministry of Industry recently announced the introduction of an artificial intelligence (AI) system to enhance the regulation of counterfeit products sold on online platforms. Pongpol Yodmuangcharoen, the secretary of the ministry's industrial reform and innovation committee, stated on Wednesday that the proposal was discussed during the committee's meeting on December 20. The committee learned during its second meeting on December 20 that a study indicated the ministry's AI system could monitor and detect 100,000 items daily.