2024

Taipei times Features section screenshot: Learnnig AI as a career skill

Learning AI as a career skill: A young Taiwanese professional discusses the pros and cons of using AI in the workplace

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In this article, Chloe shares her expericnes learning AI at TAITRA’s International Trade Institute where she was my student, and then how she got a job and uses these AI tools everyday. The argument of the article is that AI is fast becoming a career skill that individuals, educational organizations and companies need to recognize and become more proficient at using and learning.

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We need intelligent workflows in the age of AI

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AI is rapidly developing and will impact many jobs. However, AI is unlikely to completely replace humans because it lacks the creativity and wisdom to truly understand and solve problems. Instead, the future of work will likely involve humans and AI working together. Schools and businesses need to figure out how to best integrate AI into workflows to maximize human productivity.

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AI still far from replacing humans

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By Nigel P. Daly and Laurence Chen 陳家宏 (Taipei Times, Mar.2, 2024, https://www.taipeitimes.com/News/editorials/archives/2024/03/02/2003814319) It is job-finding season in Taiwan and many are becoming concerned about how the advancement in artificial intelligence (AI) would impact the workforce. Fifty percent of 18-to-25-year-olds are worried about how generative AI would impact their job opportunities, a recent study by

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detective at nightmarket

SLL Whispering circuit 001: The synth 竊竊私語的電路，第一章：合成人

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SLL 1.01. Stories for language learning: In the neon-lit streets of Taipei, Detective Chen is involved in a mysterious case linked by cryptic clues whispered by an AI before the victims’ demise. His main lead is Echo, an advanced AI robot.

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learning, working memory, dopamine, brain, yoga nidra, cold exposure

Get more dopamine, get better learning. How to improve working memory for learning

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The article highlights the critical role of working memory in language learning, emphasizing its function as a bridge between short-term and long-term memory. It suggests that effective language learning involves more than just passive review; it requires active, effortful practice. The article also discusses the importance of optimal dopamine levels for working memory and offers natural methods to boost dopamine, such as cold exposure and relaxation techniques like Non-Sleep Deep Rest (NSDR) and Yoga Nidra. These strategies are presented as ways to enhance learning efficiency and memory retention.

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Creating your own personal AI: The basics of setting up your own GPT  

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This blog outlines how to create a personalized AI GPT for educational purposes. It begins with an introduction to GPT technology, differentiating it from standard AI chatbots. The creation process involves two options: using ChatGPT assistance or configuring independently. Independent configuration includes naming the GPT, providing an image, defining its purpose, and setting up instructions and conversation starters. The blog emphasizes addressing bias, maintaining and updating the model, and considering data privacy. It concludes by discussing monetization and broader applications in education, like training modules or language learning apps.

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AI regulation

AI, Oppenheimer, and Taiwan’s Democratic Solution

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Facing the threat of AI to democracies, primarily through misinformation and polarization, the article presents four AI regulation models inspired by nuclear fission and fusion:
1. Centralized Fusion (China Model): Total state control over AI, combining government and corporate powers for AI surveillance and development.
2. Decentralized Fission (Libertarian Model): Independent AI systems emphasizing personal privacy, free from government or corporate control.
3. Semi-centralized Fusion (Big Tech Model): AI development led by major tech companies, with some degree of government involvement.
4. Democratic Fission (vTaiwan Model): This is the most promising approach and involves a diverse group of stakeholders in a collaborative and transparent process for AI legislation, aligning with democratic principles and effectively countering the risks of misinformation and societal division posed by AI.

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