Leave your feedback Share Copy URL https://gographicsoutput.com/video/F09T5984AfZ.html Email Facebook Twitter LinkedIn Pinterest Tumblr Share on Facebook Share on Twitter AI Pioneer: The Bubble Is Real And Could Trigger An AI Winter | Andrew Ng Sunderland Vs Man United [WqIWi8P0POM] Health Updated on August 05, 2026 EDT — Published on August 05, 2026 EDT Tag: #Sunderland Vs Man United, #naz shah, #running man, #sciopero 15 maggio 2026Will we get AGI in 2026? Will AI agents replace programmers? Is the open-source AI era ending and is China already ahead? In this episode, Andrew Ng breaks down why AGI (Artificial General Intelligence) has become a marketing term, why the world is still decades away from real AGI, and what the real story is: AI agents, agent workflows, and practical AI adoption that changes business long before human-level intelligence arrives.We go deep on the gap between AI benchmarks and real-world usefulness, the risk of an AI hype bubble leading to another AI mark stone winter, and why open-source / open-weight models matter if we want to avoid an AI oligopoly dominated by a few proprietary frontier model labs. We also talk about the future of work, AI job automation, and why education systems are still training people for jobs that no longer exist.Andrew Ng is a leading AI researcher and entrepreneur, former head of Google Brain, co-founder of Coursera, and a major voice on machine learning, deep learning, and building real-world AI products.In this episode youll learn: What AGI should mean and why redefining it fuels hype hantavirus illinois Andrews new Turing-style AGI test: multi-day, economically valuable work Why benchmarks can improve while AI feels worse to users What AI agents and agentic workflows will actually deliver in 2026 Open-source AI vs proprietary models (and why China is a key player) Which jobs are at risk (call centers, translation, voice work) and why most wont vanish overnight Why AI education needs a radical update (students trained for 2022 roles) The real stakes: innovation freedom vs an AI oligopolyChapters:00:00 AGI as a marketing term (Artificial General Intelligence)01:00 AGI in 2026? Andrew Ngs answer03:33 A practical AGI test05:05 AI benchmarks vs real-world performance08:55 AI agents and agent workflows in 202623:29 AI hype bubble30:14 Open-source, open weights, and avoiding an AI oligopoly42:58 AI automation rs-28 sarmat and jobs most exposed46:00 China vs the US in AI53:08 Meaning, happiness, and what AI is forMatt Kawecki (host) on LinkedIn: Andrew NG (guest) on LinkedIn: This is The World: This is The World on Instagram: Don't forget to subscribe to our channel and turn on notifications so you won't miss any of our future episodes #ai #agi #technology #future #andrewng #thisistheworld
Tag: #Sunderland Vs Man United, #naz shah, #running man, #sciopero 15 maggio 2026Will we get AGI in 2026? Will AI agents replace programmers? Is the open-source AI era ending and is China already ahead? In this episode, Andrew Ng breaks down why AGI (Artificial General Intelligence) has become a marketing term, why the world is still decades away from real AGI, and what the real story is: AI agents, agent workflows, and practical AI adoption that changes business long before human-level intelligence arrives.We go deep on the gap between AI benchmarks and real-world usefulness, the risk of an AI hype bubble leading to another AI mark stone winter, and why open-source / open-weight models matter if we want to avoid an AI oligopoly dominated by a few proprietary frontier model labs. We also talk about the future of work, AI job automation, and why education systems are still training people for jobs that no longer exist.Andrew Ng is a leading AI researcher and entrepreneur, former head of Google Brain, co-founder of Coursera, and a major voice on machine learning, deep learning, and building real-world AI products.In this episode youll learn: What AGI should mean and why redefining it fuels hype hantavirus illinois Andrews new Turing-style AGI test: multi-day, economically valuable work Why benchmarks can improve while AI feels worse to users What AI agents and agentic workflows will actually deliver in 2026 Open-source AI vs proprietary models (and why China is a key player) Which jobs are at risk (call centers, translation, voice work) and why most wont vanish overnight Why AI education needs a radical update (students trained for 2022 roles) The real stakes: innovation freedom vs an AI oligopolyChapters:00:00 AGI as a marketing term (Artificial General Intelligence)01:00 AGI in 2026? Andrew Ngs answer03:33 A practical AGI test05:05 AI benchmarks vs real-world performance08:55 AI agents and agent workflows in 202623:29 AI hype bubble30:14 Open-source, open weights, and avoiding an AI oligopoly42:58 AI automation rs-28 sarmat and jobs most exposed46:00 China vs the US in AI53:08 Meaning, happiness, and what AI is forMatt Kawecki (host) on LinkedIn: Andrew NG (guest) on LinkedIn: This is The World: This is The World on Instagram: Don't forget to subscribe to our channel and turn on notifications so you won't miss any of our future episodes #ai #agi #technology #future #andrewng #thisistheworld