Get live statistics and analysis of Andrew Ng's profile on X / Twitter

Co-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs
The Thought Leader
Meet Andrew Ng, a titan in the AI world, who seamlessly blends academic insights with groundbreaking digital initiatives. As a co-founder of Coursera and former lead at Google Brain and Baidu AI Group, his tweets pack wisdom that's both profound and practical. From advocating for educational joy to critiquing visa policies, Andrew isn't just sharing knowledge, he's shaping the future.
Andrew, you're out here teaching people the wonders of AI while still expecting students to fight through homework without a virtual assistant or an abundance of coffee. You might need to revise that vision of joyful learning!
One of Andrew's biggest achievements includes co-founding Coursera, which has transformed online education by making it more accessible to millions worldwide.
To democratize access to AI education, making cutting-edge knowledge available to everyone while driving innovation that positively impacts society.
Andrew believes in the transformative power of education, the necessity for innovation in technology, and the ethical responsibility that comes with AI development. He champions the importance of inclusivity in tech, a principle evident in his courses.
Andrew's strengths include his deep expertise in AI, his ability to communicate complex ideas simply, and his commitment to making education accessible through innovative methods.
A potential weakness could be occasionally coming off as overly task-focused, which might limit interpersonal engagements and connections beyond professional networking.
To further grow his audience on X, Andrew could embrace engaging multimedia content, like short video clips or live Q&A sessions, to complement his tweets. This would help him connect more personally with his followers and keep the conversation lively!
Fun fact: Andrew once wished for homework to be so engaging that students would turn to it instead of ChatGPT, an ambitious goal for sure, but we all know AI can be quite the distractor!
Top tweets of Andrew Ng
Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, âIt is far more likely that the programming occupation will become extinct [...] than that it will become all-powerful. More and more, computers will program themselves.ââ Statements discouraging people from learning to code are harmful! In the 1960s, when programming moved from punchcards (where a programmer had to laboriously make holes in physical cards to write code character by character) to keyboards with terminals, programming became easier. And that made it a better time than before to begin programming. Yet it was in this era that Nobel laureate Herb Simon wrote the words quoted in the first paragraph. Todayâs arguments not to learn to code continue to echo his comment. As coding becomes easier, more people should code, not fewer! Over the past few decades, as programming has moved from assembly language to higher-level languages like C, from desktop to cloud, from raw text editors to IDEs to AI assisted coding where sometimes one barely even looks at the generated code (which some coders recently started to call vibe coding), it is getting easier with each step. I wrote previously that I see tech-savvy people coordinating AI tools to move toward being 10x professionals â individuals who have 10 times the impact of the average person in their field. I am increasingly convinced that the best way for many people to accomplish this is not to be just consumers of AI applications, but to learn enough coding to use AI-assisted coding tools effectively. One question Iâm asked most often is what someone should do who is worried about job displacement by AI. My answer is: Learn about AI and take control of it, because one of the most important skills in the future will be the ability to tell a computer exactly what you want, so it can do that for you. Coding (or getting AI to code for you) is a great way to do that. When I was working on the course Generative AI for Everyone and needed to generate AI artwork for the background images, I worked with a collaborator who had studied art history and knew the language of art. He prompted Midjourney with terminology based on the historical style, palette, artist inspiration and so on â using the language of art â to get the result he wanted. I didnât know this language, and my paltry attempts at prompting could not deliver as effective a result. Similarly, scientists, analysts, marketers, recruiters, and people of a wide range of professions who understand the language of software through their knowledge of coding can tell an LLM or an AI-enabled IDE what they want much more precisely, and get much better results. As these tools are continuing to make coding easier, this is the best time yet to learn to code, to learn the language of software, and learn to make computers do exactly what you want them to do. [Original text: deeplearning.ai/the-batch/issu⌠]
