Letters from Andrew Ng
Personal messages to the AI community
More Data for AI Developers: A New Law Makes it Easier to Scrape the Web
Many AI systems have been built using data scraped from the internet. Indeed, even the cornerstone dataset for computer vision research, ImageNet, was built using images taken from the public internet. With the rise of data-centric AI,
How to Build a Career in AI, Part 2: Learning Technical Skills
Last week, I wrote about key steps for building a career in AI: learning technical skills, doing project work, and searching for a job, all of which is supported by being part of a community. In this letter, I’d like to dive more deeply into the first
How to Build a Career in AI, Part 1: Three Steps to Career Growth
The rapid rise of AI has led to a rapid rise in AI jobs, and many people are building exciting careers in this field. A career is a decades-long journey, and the path is not always straightforward. Over many years, I’ve been privileged to see
What Rising Interest Rates Mean for AI, Part 2: Why It Still Makes Sense to Forge Ahead
Last week, I wrote about how rising interest rates are likely to lead investors and other finance professionals to focus on short-term returns rather than longer-term investments. Nonetheless, I believe this is still a good time to invest in long-
What Rising Interest Rates Mean for AI, Part 1: What's Likely to Happen
The United States Federal Reserve Bank has signaled that it will continue to raise interest rates. As one consequence, the stock market is significantly down, particularly tech stocks, relative to the beginning of the year. What does this
How to Build AI Startups Part 2: Will a Data Moat Protect You?
Last week, I described trends that AI Fund, the venture studio I lead, has seen in building AI startups. I'd like to discuss another aspect of building companies that’s unique to AI businesses: the controversial topic of data moats.
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