An illustration shows how career changes can be a role switch, an industry switch, or both.
Letters

How to Build a Career in AI, Part 5: Finding Your First AI Job

Andrew Ng presents a framework for job seekers in AI, especially those entering from a different field.

3 min read
A statue of Lady Justice holds a set of scales in each hand, signifying inconsistent decision making.
Letters

Toward More Consistent Decision-Making

Andrew Ng considers how inconsistent human decisions are, and how AI can reduce that inconsistency.

2 min read
The Trouble With Reinforcement Learning
Letters

The Trouble With Reinforcement Learning

While working on Course 3 of the Machine Learning Specialization, which covers reinforcement learning, I was reflecting on how reinforcement learning algorithms are still quite finicky. They’re very sensitive to hyperparameter

3 min read
data scraping
Letters

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,

2 min read
Projects Pillar
Letters

How to Build a Career in AI, Part 4: How to Sequence Projects to Build a Career

Last week’s letter focused on coming up with AI project ideas, part of a series on how to build a career in the field. This letter describes how a sequence of projects might fit into your career path.

2 min read
Project pilar
Letters

How to Build a Career in AI, Part 3: Choosing Projects

In the last two letters, I wrote about developing a career in AI and shared tips for gaining technical skills. This time, I’d like to discuss an important step in building a career: project work.

3 min read
How to Build a Career in AI, Part 2: Learning Technical Skills
Letters

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

3 min read
How to Build a Career in AI, Part 1: Three Steps to Career Growth
Letters

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

2 min read
How to Keep the AI Community Growing
Letters

How to Keep the AI Community Growing

Many things in life have a positive side and a negative side. For instance, a new AI system might help democratize access, and at the same time it might be more accessible to people who have internet access than those who don’t. Thus, it could

2 min read
microscope versus statue
Letters

Can an AI System Be Sentient? Ask a Philosopher

A Google Engineer recently announced he believes that a language model is sentient. I’m highly skeptical that any of today’s AI models are sentient. Some reporters, to their credit, also expressed skepticism. Still, I worry that

2 min read
U.S. Three-Month Treasury Bill Secondary Market Interest Rate, Discount Basis
Letters

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-

3 min read
US federal funds effective interest rate
Letters

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

3 min read
Andrew thinkking looking at Neural Netowrks
Letters

A Solid Foundation for a Rewarding Career

Years ago, I had to choose between a neural network and a decision tree learning algorithm. It was necessary to pick an efficient one, because we planned to apply the algorithm to a very large set of users on a limited compute budget. I went

2 min read
Balloon on nails
Letters

How to Build AI Startups Part 3: Set Customer Expectations!

One of the challenges of building an AI startup is setting customer expectations. Machine learning is a highly experiment-driven field. Until you’ve built something, it’s hard to predict how well it will work. This creates a unique

2 min read
castle
Letters

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.

3 min read

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