Letters from Andrew Ng

I’m thrilled that former students and postdocs of mine won both of this year’s NeurIPS Test of Time Paper Awards.

AI Product Management is evolving rapidly. The growth of generative AI and AI-based developer tools has created numerous opportunities to build AI applications.

There’s a lingering misconception that building with generative AI is expensive.

Startups live or die by their ability to execute at speed. For large companies, too, the speed with which an innovation team is able to iterate has a huge impact on its odds of success.

Recently I visited South Korea, where I spoke at length about AI with President Yoon Suk Yeol. Based on what I saw there in government, business, and academia, the nation is well positioned to become a strong AI hub.

After a recent price reduction by OpenAI, GPT-4o tokens now cost $4 per million tokens (using a blended rate that assumes 80% input and 20% output tokens).

When entrepreneurs build a startup, it is often their speed and momentum that gives them a shot at competing with the tech behemoths. This is true of countries as well.

Last week, I wrote about why working on a concrete startup or project idea — meaning a specific product envisioned in enough detail that we can build it for a specific target user

I’ve noticed a trend in how generative AI applications are built that might affect both big companies and developers: The gravity of data is decreasing.

Earlier this month, my team AI Fund held its annual co-founder and CEO summit, where many of our collaborators gathered in California for two days to discuss how to build AI companies.

On the LMSYS Chatbot Arena Leaderboard, which pits chatbots against each other anonymously and prompts users to judge which one generated a better answer...

I’m delighted that the crisis at OpenAI, which you can read about below, seems to have been resolved with an agreement in principle for Sam Altman to return as CEO after his sudden firing last week.

I wrote earlier about how my team at AI Fund saw that GPT-3 set a new direction for building language applications, two years before ChatGPT was released. I’ll go out on a limb to make another prediction

Improvements in chatbots have opened a market for bots integrated with dating apps. I’m concerned that AI romantic partners create fake relationships that displace, rather than strengthen, meaningful human relationships.

I recently spoke about “Opportunities in AI” at Stanford’s Graduate School of Business. I'd like to share a few observations from that presentation, and I invite you to watch the video (37 minutes).