Letters from Andrew Ng
Personal messages to the AI community
Letters
The Difference Between “AI Safety” and “Responsible AI”: Talk about “AI safety” obscures an important point; AI isn't inherently unsafe. Instead, let’s talk about “responsible AI.”
At the Artificial Intelligence Action Summit in Paris this week, U.S. Vice President J.D. Vance said, “I’m not here to talk about AI safety.
Letters
How to Cool a Warming Planet: The only plausible path to keeping climate change in check is geoengineering.
Greetings from Davos, Switzerland! Many business and government leaders are gathered here again for the annual World Economic Forum to discuss tech, climate, geopolitics, and economic growth.
Letters
AI Product Managers Will Be In-Demand: As the cost of building AI products falls, demand for people who know what to build will rise. Get ready for an explosion in AI Product Management!
Writing software, especially prototypes, is becoming cheaper. This will lead to increased demand for people who can decide what to build. AI Product Management has a bright future!
Letters
Think Technology is Moving Fast? Look at Applications!: AI technology progressed rapidly in 2024, but applications advanced even more quickly. Good regulation can make for even faster progress in 2025.
Is AI progressing rapidly? Yes! But while the progress of underlying AI technology has indeed sped up over the past 2 years, the fastest acceleration is in applications.
Letters
Best Practices for AI Product Management: Generative AI is making it possible to build new kinds of applications in new ways. Here are emerging best practices for AI product managers.
AI Product Management is evolving rapidly. The growth of generative AI and AI-based developer tools has created numerous opportunities to build AI applications.
Letters
AI Is Part of Your Online Audience: Some webpages are written not for humans but for large language models to read. Developers can benefit by keeping the LLM audience in mind.
A small number of people are posting text online that’s intended for direct consumption not by humans, but by LLMs (large language models).
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