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Andrew Ng: Building Faster with AI

Andrew Ng: Building Faster with AI

26 segments available

Andrew Ng on June 17, 2025 at AI Startup School in San Francisco. Andrew Ng has helped shape some of the most influential movements in modern AI—from online education to deep learning to AI entrepreneurship. In this talk, he shares what he’s learning now: why execution speed matters more than ever, how agentic workflows are changing what startups can build, and why concreteness beats vagueness when turning ideas into products. He reflects on the rise of AI coding assistants, the shifting bottlenecks in product development, and why, despite faster software, it’s still human judgment and responsibility that will shape what comes next. Apply to Y Combinator: https://ycombinator.com/apply Work at a startup: https://workatastartup.com Chapters: 00:00 - Introduction 00:31 - The Importance of Speed in Startups 01:13 - Opportunities in the AI Stack 02:06 - The Rise of Agent AI 04:52 - Concrete Ideas for Faster Execution 08:56 - Rapid Prototyping and Engineering 17:06 - The Role of Product Management 21:23 - The Value of Understanding AI 22:33 - Technical Decisions in AI Development 23:26 - Leveraging Gen AI Tools for Startups 24:05 - Building with AI Building Blocks 25:26 - The Importance of Speed in Startups 26:41 - Addressing AI Hype and Misconceptions 37:35 - AI in Education: Current Trends and Future Directions 39:33 - Balancing AI Innovation with Ethical Considerations 41:27 - Protecting Open Source and the Future of AI

Segments Timeline

1
0:00 - 0:41
0:41 duration142 words

Lessons from Building Startups

Andrew Ng introduces his talk at AI Startup School, sharing insights from his experience at AI Fund, where he co-founds startups. He emphasizes the importance of execution speed in startup success and how new AI technologies are enabling faster development cycles. Ng aims to provide best practices that can help entrepreneurs increase their odds of success.

"It's really great to see all of you. What I want to do today since this is build as startup school is share with you some lessons I've learned about building startups at AI fund. AI funds a venture st..."

2
0:41 - 2:06
1:24 duration277 words

Opportunities in the AI Stack

Ng discusses the AI stack, highlighting the various layers from semiconductors to application development. He points out that while much attention is given to foundational technologies, the biggest opportunities lie in the application layer, where startups can generate revenue and create impactful solutions.

"So it turns out that for those of you that want to build a startup, I think a strong predictor for startup's odds of success is execution speed. And I actually have a lot of respect for the entreprene..."

3
2:06 - 4:52
2:46 duration554 words

The Rise of Agentic AI

Andrew Ng explains the concept of agentic AI, which allows for more dynamic and iterative workflows in AI applications. He contrasts traditional linear approaches to AI output with agentic workflows that involve multiple steps of research, drafting, and revision, leading to higher quality results. This shift opens up new startup opportunities.

"a lot over the last year um and in terms of AI tech trends I if you ask me what's the most important tech trend in AI I would say is the rise of agentic AI and about a year and a half ago when I start..."

4
4:52 - 6:31
1:39 duration356 words

Concrete Ideas for Faster Execution

Ng emphasizes the importance of concrete ideas in startup development. He illustrates how vague concepts can hinder progress, while specific, detailed ideas enable engineers to build quickly. By focusing on concrete product ideas, startups can validate or pivot their strategies more efficiently.

"It turns out that um at AI fun we only focus on working on concrete ideas. So to me a concrete idea a concrete product idea is one that's specified in enough detail that an engineer can go and build i..."

5
6:31 - 8:34
2:03 duration415 words

The Role of Subject Matter Experts

In this segment, Ng discusses the value of subject matter experts in the startup process. He argues that their insights can lead to better decision-making and faster execution. By leveraging their expertise, startups can navigate challenges more effectively and identify viable concrete ideas.

"I I I find that at AI fun, I ask my team to focus on concrete ideas because um a concrete idea gives clear direction and the team can run really fast to build it and either validate it, prove it out o..."

6
8:34 - 10:01
1:26 duration304 words

Building Feedback Loops with AI

Ng highlights the importance of feedback loops in startup development, particularly when using AI coding assistants. He explains how rapid engineering and user feedback can enhance product development, allowing startups to iterate quickly towards product-market fit. This approach is reshaping how startups operate in the AI landscape.

"one other pattern I've seen, if every piece of new data causes you to pivot, it probably means you're starting off from two weaker a base of knowledge, right? If every time you talk to a customer, you..."

7
10:01 - 11:22
1:21 duration272 words

Prototyping at Lightning Speed

In this segment, Ng explains the difference between building quick prototypes and maintaining production software. He shares insights on how AI tools can make the prototyping process significantly faster, allowing startups to test ideas without the constraints of legacy systems. This rapid prototyping capability is crucial for innovation in the startup ecosystem.

"rapidly. This changes the mechanisms by which we drive startups around this loop. When I think about the software that I do, I maybe put into two major buckets. Sometimes I'll build quick and dirty pr..."

8
11:22 - 12:13
0:50 duration193 words

Moving Fast and Being Responsible

Ng reflects on the mantra 'move fast and break things' and its implications for startups. He advocates for a balanced approach where speed is prioritized alongside responsibility. This segment discusses how startups can innovate quickly while ensuring that their products are secure and reliable before reaching the market.

"of course, after it seems to be working, please do make it secure before you ship it to someone else. And you know, like a leaking PI, leaking sense data that that is, you know, very damaging. So befo..."

9
12:13 - 13:07
0:53 duration177 words

The Evolution of Coding Assistance

Andrew Ng explores the advancements in AI coding assistants, detailing how tools like GitHub Copilot and newer AI systems are enhancing developer productivity. He emphasizes the importance of staying updated with the latest tools to maximize efficiency in software engineering, highlighting the rapid evolution of coding assistance technology.

"quickly while still being responsible. And in terms of the AI assistance uh coding landscape, I think was it three four years ago code autocomplete right popularized by GitHub copilot and then there w..."

10
13:07 - 14:30
1:23 duration332 words

Rethinking Software Architecture Decisions

In this segment, Ng discusses the changing landscape of software architecture decisions, comparing them to 'two-way doors' and 'one-way doors.' He explains how the decreasing cost of software engineering allows teams to reconsider their tech stack choices more frequently, leading to a more agile development process.

"of the latest tools and I find my team is taking really different approaches to software engineing now compared to even three or six months ago. One surprising thing is we we're used to thinking of co..."

11
14:30 - 15:52
1:21 duration286 words

Empowering Everyone to Code

Ng argues for the necessity of coding skills across all job roles, asserting that as software engineering becomes easier, more individuals should learn to code. He shares personal experiences from his team, illustrating how coding knowledge enhances productivity and collaboration across various functions.

"bit beyond software engineering, I I I feel like this actually a good time to empower everyone to build of AI. Uh over the last year, a bunch of people advised others not to learn to code on the groun..."

12
15:52 - 17:01
1:09 duration239 words

The Art of Prompting AI

In this segment, Ng shares a lesson learned about the importance of effectively prompting AI tools for generative tasks. He contrasts his own experiences with those of a team member who has a background in art history, demonstrating how knowledge in a specific domain can lead to better outcomes when using AI for creative tasks.

"productive I want to share with you One lesson I learned as well on on why we should have people learn to do this which is um when I was teaching generative VI for everyone on Corsera, we needed to ge..."

13
17:01 - 18:40
1:38 duration348 words

The New Bottleneck: Product Management

Ng highlights the shifting dynamics in startup teams, where product management is becoming the bottleneck due to the increased speed of engineering. He discusses the implications of this shift and how teams are adapting their structures and processes to keep pace with faster development cycles.

"that for a long time. with software engineering becoming much faster. The other interesting dynamic I'm seeing is that the product management work getting user feedback deciding what features to build..."

14
18:25 - 19:54
1:28 duration324 words

Tactics for Rapid Product Feedback

Ng outlines various tactics for obtaining rapid feedback on product ideas, emphasizing the importance of quick iterations in the startup environment. He categorizes feedback methods from gut instinct to engaging with strangers in public spaces, illustrating how these approaches can significantly influence product development speed and decision-making.

"and I find as PMs that can code or engineers with some product instincts often end up doing better. The other thing that I found important for startup found for startup leaders is because engineing is..."

15
19:54 - 21:16
1:22 duration301 words

The Role of Data in Product Decisions

In this segment, Ng emphasizes the importance of data analysis in product decision-making. He explains how teams should not only rely on A/B testing results but also use data to refine their instincts and improve decision quality. This approach helps startups make faster and more informed choices, ultimately enhancing their execution speed.

"working a lot of people don't want to be working so we give them excuse to be distracted they're very happy to do that too but I've actually kind of made tons of product decisions in a hotel lobby or ..."

16
21:16 - 22:34
1:17 duration293 words

Understanding AI for Competitive Advantage

Ng discusses how a deep understanding of AI technology can provide startups with a competitive edge. He contrasts the knowledge diffusion in mature fields with the emerging nature of AI, suggesting that teams proficient in AI can make quicker and more effective decisions, thereby accelerating their development processes.

"important. All right, so talked about um concrete ideas, speed up engineering, speed up product feedback. This is one last thing I want to touch on which is I've seen that understanding AI actually ma..."

17
22:34 - 24:54
2:20 duration472 words

Leveraging AI Building Blocks

In this segment, Ng highlights the significance of AI building blocks and how they can be combined to create innovative software solutions. He illustrates the exponential growth of possibilities when startups acquire multiple AI tools and emphasizes the importance of continuous learning in leveraging these technologies effectively.

"things like what accuracy can you get for a customer service chatbot? You know, should you prom fine tune a workflow? Um how do you get a voice out to low latency? There a lot of these decisions that ..."

18
24:54 - 26:30
1:35 duration330 words

Speed and Quality in Startup Success

Ng wraps up his talk by reiterating the correlation between execution speed and startup success. He stresses the need for concrete ideas and rapid feedback mechanisms, while also highlighting the importance of staying updated with AI advancements to maintain a competitive edge in the fast-paced startup landscape.

"One of the things that deep learn does so I actually take a lot of deep learn courses myself you know to because work with great we work with I think like pretty much all the leading AI companies in t..."

19
26:30 - 27:34
1:04 duration193 words

Human Judgment in an AI World

In this segment, Ng addresses the balance between developing AI tools and mastering their use. He argues that while AI democratizes intelligence, the most powerful individuals will be those who can effectively command AI to achieve desired outcomes. He reassures that human capabilities will remain essential despite the rise of AI.

"much. [Applause] Happy questions. As AI advances, do you think it's more important for humans to develop the tools or learn how to use the tools better? Like how can we p position ourselves to remain ..."

20
27:34 - 29:53
2:19 duration431 words

Debunking AI Hype Narratives

Andrew Ng critiques the overhyped narratives surrounding AI, particularly the fear of AGI leading to human extinction and job loss. He explains that many sensational claims are exaggerated and often serve promotional purposes for certain companies. Ng stresses the importance of understanding AI's true capabilities and the need for responsible application.

"Hey, so well first of all uh thank you so much. I have a huge respect for you and I think that you are true inspiration for a lot of us. My question is about uh the future of compute. So as we move to..."

21
29:53 - 31:32
1:38 duration314 words

AI Safety vs. Responsible AI

Ng discusses the concept of AI safety, arguing that safety is not inherent to the technology itself but rather how it is applied. He advocates for a focus on responsible AI usage, emphasizing that the potential for harm or benefit lies in the application of AI tools, similar to how electricity can be used safely or dangerously.

"be done. There's a lot of hype in um AI and how and nobody's really certain about how we're going to be building the future with it. But what are some of the most dangerous biases or overhyped narrati..."

22
31:32 - 34:28
2:56 duration567 words

Building Products That Users Love

In this segment, Ng advises aspiring founders to prioritize creating products that genuinely resonate with users. He highlights the importance of understanding customer needs over worrying about competition or market channels, suggesting that a strong product-market fit is crucial for long-term success.

"or beneficial. And I feel like sometimes that the really weird corner cases that get hyped up in the news. I think just one or two days ago there was a Wall Street Journal article about AI losing cont..."

23
34:28 - 37:31
3:03 duration583 words

The Future of AI Tools and Flexibility

Ng shares insights on the evolving landscape of AI tools, likening them to building blocks for innovation. He discusses the importance of architecting software for flexibility, allowing for easy switching between different AI models and tools as they develop, which can enhance speed and efficiency in product development.

"wonderful speech. Uh, I am a Andagramress researcher from Stanford and I think your uh, metaphor in your speech is very interesting. You said the uh, current AI tools are like bricks and are be uh, an..."

24
37:34 - 39:03
1:29 duration315 words

Navigating Ethical Challenges in AI Development

Andrew Ng addresses the ethical implications of AI development, particularly regarding economic inequality. He shares his perspective on balancing rapid product development with societal responsibilities. Ng encourages AI builders to critically assess the impact of their products and to prioritize ethical considerations, even if it means halting projects that could have negative consequences.

"Thank you so much. In the world of education in AI, there are two paradigms mostly. So one is AI can make teachers more productive. Uh automating grading and automating homeworks. But another school o..."

25
39:03 - 40:06
1:03 duration214 words

Empowering Everyone with AI Knowledge

In this segment, Ng discusses the importance of educating the general public about AI and deep learning. He highlights the need for inclusivity in AI literacy, ensuring that individuals across various job roles can leverage AI tools effectively. Ng stresses that empowering everyone to build with AI is crucial for fostering innovation and addressing the potential societal downsides of AI technologies.

"is work is complex, right? teachers, students, people do really complex workflows and for the next decade we'll be looking at the work that needs to be done and figuring out how to map it to agentic w..."

26
40:06 - 43:50
3:44 duration752 words

The Fight for Open Source in AI

Andrew Ng warns about the dangers of regulatory measures that could stifle innovation in AI by creating gatekeepers. He reflects on the importance of protecting open-source models and the ongoing battle against regulations that could limit access to AI technologies. Ng emphasizes the need for a collective effort to ensure that innovation remains accessible and that knowledge diffusion continues in the AI landscape.

"fast and be responsible as you mentioned in your talk look in your heart and if fundamentally what you're building if you don't think it'll make people at large better off don't do it right I I know i..."