Why the Global South Can Still Lead on AI - Randy Goebel | Endgame #267

Deskripsi

AI today is powered by massive models, massive energy, and massive capital concentration. But what if this trajectory is essentially unsustainable? And what if the Global South could redefine the future of AI? Randy Goebel, an AI scientist and advocate of open science, explores the sustainability crisis behind large language models and the costly cycles that define AI’s history. He also emphasizes that for Southeast Asia and the Global South, the future of AI depends not on hardware, but on building and sustaining intellectual capital. ------------------------------------------ About the Guest: Randy Goebel (often listed as R.G.) is a computer scientist and professor of computing science in the Department of Computing Science, University of Alberta, Canada. He's known for his work in artificial intelligence (AI), machine learning, logic-based reasoning, and explainable AI (XAI). Goebel also helped found the Alberta Machine Intelligence Institute (AMII) and has been deeply involved in AI research and teaching. ------------------------------------ Full Topics: 0:00:00 - Intro 0:01:56 - AI and energy scarcity 0:09:25 - Spiraling cycle of AI science 0:11:46 - Data sovereignty is the key 0:13:44 - AI policy-making anachronism 0:18:32 - Open-sourced or closed-sourced AI?0:21:58 - China opens, America closes 0:24:24 - AI bubble burst potential 0:26:41 - How far could Global South go? 0:29:25 - AI & labor prosperity 0:34:06 - Advice for civil society 0:37:53 - Lessons from Singapore 0:41:40 - AI elitization risk 0:45:07 - “Tool for values” #Endgame #GitaWirjawan #RandyGoebel ---------------------------------------- You might also like: - https://youtu.be/xUdCSq4W1Kk?si=mVh92mCGznE4GEmp - https://youtu.be/WNcW2jHGrtk?si=dVprUeByatSeOfFh - https://youtu.be/m8h7zojuM5Q?si=7qx3ICQ6Z0oYs11Z