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Andrew Ng

Founder of DeepLearning.AI; Managing General Partner of AI Fund; Founder and CEO of Landing AI

Andrew Ng** is a globally recognized leader in artificial intelligence (AI) and a prominent figure in both machine learning and online education. He serves as the Managing General Partner of AI Fund, a venture studio that partners with entrepreneurs to build AI companies. Additionally, he is the Founder and Executive Chairman of Landing AI, which provides AI-powered software for industrial automation and manufacturing. Ng is also the Founder of DeepLearning.AI, an education technology company focused on AI training, and the Chairman and Co-Founder of Coursera, a leading online learning platform. He is an **Adjunct Professor at Stanford University: and has previously held key roles at Google and Baidu, including leading the Google Brain team and serving as Chief Scientist at Baidu.

Ng holds degrees from Carnegie Mellon University, MIT, and UC Berkeley. He has authored or co-authored over 200 research papers in machine learning and related fields. In 2023, he was named to the Time100 AI list of the most influential AI persons in the world. Ng is also a member of Amazon's Board of Directors, a position he assumed in April 2024.

His LinkedIn username is andrewyng.123

Highlights

May 14 · twitter

New course: Transformers in Practice. You'll get a practical view of how transformer-based LLMs work, so you can reason about their behavior, diagnose problems like slow inference, and make smarter decisions about deployment. This course is built in partnership with @AMD and taught by @realSharonZhou.

You'll see how transformers generate text one token at a time, how the model decides which earlier words matter most when predicting the next one, and how techniques like quantization speed up inference on GPUs. This is not a video-only course; interactive visualizations throughout let you play with these concepts and build intuition that sticks.

Skills you'll gain:

  • Understand why LLMs hallucinate, and RAG and chain-of-thought shape what they generate
  • Look inside the model to see how attention and layers combine to predict the next token
  • Diagnose inference bottlenecks and learn the techniques that speed up transformers on GPUs

Join and understand what's really happening inside your LLMs: https://t.co/oS6ekeHsIw

New course: Transformers in Practice. You'll get a practical view of how transformer-based LLMs work
May 12 · twitter

There will be no AI jobpocalypse.

The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it.

I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines.

Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%.

Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable!

Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more.

Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus.

To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market.

Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades.

Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have).

Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future!

[Original text in The Batch newsletter.]

There will be no AI jobpocalypse.

The story that AI will lead to massive unemployment is stoking un

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Andrew Ng
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Palo Alto, California, United States