Letters from Andrew Ng

Last week, the United States Congress passed President Trump’s “Big Beautiful Bill.” I’m disappointed it didn’t include a proposed moratorium on U.S. state-level AI regulation.

An automated beehive uses computer vision and robotics to help keep bees healthy and crops pollinated.

Top large language models, under experimental conditions that pressed them to choose between abandoning their prompted mission and misbehaving, resorted to harmful behavior, researchers found.

On Monday, a United States District Court ruled that training LLMs on copyrighted books constitutes fair use.

Leaders at some of the biggest U.S. corporations say they’re preparing for AI to eliminate many jobs within their organizations.

In Northern California, old property deeds may still include racial clauses: language, made illegal decades ago, that was designed to ban people of color from owning or living in certain homes.

Hollywood studios joined the record companies, publishers, and artists in the fight against companies that have trained AI models on their copyrighted works.

One of the most effective things the U.S. or any other nation can do to ensure its competitiveness in AI is to welcome high-skilled immigration and international students who have the potential to become high-skilled.

Researchers identified a simple way to mislead autonomous agents based on large language models.

AI’s thirst for energy is growing, but the technology also could help produce huge energy savings over the next five to 10 years, according to a recent report.

AI is bringing a massive boost in productivity to Duolingo, maker of the most popular app for learning languages.

Everyone can benefit by learning to code with AI! At AI Fund, the venture studio I lead, everyone — not just the engineers — can vibe code or use more sophisticated AI-assisted coding techniques.

I am alarmed by the proposed cuts to U.S. funding for basic research, analyzed here, and the impact this would have for U.S. competitiveness in AI and other areas.

A study co-authored by tech-manual publisher Tim O’Reilly shows that OpenAI trained GPT-4o on parts of his company’s books that were not made freely available.

Anthropic continued its tradition of building AI models that raise the bar in coding tasks.