

Andrew Ng: Building Faster with AI
374 snips Jul 10, 2025
In this engaging discussion, Andrew Ng, a prominent AI researcher and founder of Coursera, explores the critical importance of execution speed in startups navigating the AI landscape. He emphasizes leveraging agentic AI for productivity and the necessity of concrete ideas in product development. Ng also highlights the transformative impact of AI coding tools on software engineering, promoting rapid prototyping and coding literacy within teams. Finally, he addresses the ongoing battle for open-source innovation in AI, stressing its vital role in ensuring equitable access to technology.
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Execution Speed Drives Startup Success
- Build startups fast to increase odds of success due to execution speed.
- Use new AI technologies to accelerate startup building and improve chances.
Power of Agentic AI Workflows
- Agentic AI workflows improve results by iteratively planning and revising outputs.
- Linear prompt-response models perform worse without the ability to research and revise.
Focus on Concrete Product Ideas
- Pursue concrete product ideas to give engineers clear directions and speed up development.
- Avoid vague ideas like 'optimize healthcare assets' which lead to slow, unfocused builds.