Andrew Ng
21 statements across 2 episodes · 7 bullish · 5 bearish · 2 people on the record · first statement Apr 25, 2023 by Jensen Huang · said 5 times in 3 episodes since 2023 · across every show →
On the record as a speaker too: Andrew Ng's record, appearances and statements → this page counts the times other people say the name.
Mentions by year
brought up most by Jensen Huang (3), Sarah Guo (1), Elad Gil (1)
tap a year for its mentions
2024 1 mention in 1 episode
2023 4 mentions in 2 episodes 2 per episode
Everything said about Andrew Ng, oldest first
Apr 25, 2023 positive
Huang: Andrew Ng contacted NVIDIA around 2012 to train neural nets on GPUs
“Around 20 12, I guess, and it was because simultaneously Andrew Eng reached out to Bill Daly, our chief scientist to work on a way to get the neural network model that they were working on onto GPU so that they could, instead of using thousands of CPU servers,…”
Aug 21, 2025 neutral
Ng: Winning Founders Are Driven Either By Business Victory Or Customer Success
“I've really seen, I feel like I've seen two types. One is they really want their business to win. That's fine. Some do great. Some are, they really want their customers to win. And they're so obsessed with serving the customer that that works out.”
Aug 21, 2025
Ng: AI operates on a spectrum of agency rather than a binary
“And I felt there's a lot of good work, and there was a spectrum of degrees of agency. Where there are highly autonomous agents that could plan, take multiple sets of reasoning, do a lot of stuff by themselves, and then things that were lower degrees of agency,…”
Aug 21, 2025 bullish
Aug 21, 2025 neutral
Ng: Human engineers needed for agentic workflows for 1-2 more years
“Until and unless we built, you know, AI avatars that can interview employees doing the work, and better visual AI that can look at the computer monitor, I think, maybe eventually, you know, but I think at least right now, for the next year or two, I think ther…”
Aug 21, 2025 bearish
Aug 21, 2025 neutral
Ng: AI Fund avoids broad top-down ideas, requiring concrete use cases
“And so one of the lessons I've learned is we really like concrete ideas. So someone says, I did a market analysis, AI will transform healthcare. That's true, but I don't know what to do with that. But if someone, a subject matter expert or an engineer comes an…”
Aug 21, 2025 negative
Ng: AI-assisted development is rapid engineering, not vibe coding
“It's like a deeply intellectual exercise, and I think the term vibe coding makes people think it's easier than it is. So frankly, after a day of using AI-assisted coding, like, I'm exhausted mentally, right? So I think of it as rapid engineering, where AI is l…”
Aug 21, 2025 neutral
Ng: Startup bottleneck has shifted from coding speed to product management
“So when we go look at this loop, the speed of coding is accelerating, the cost is falling, and so increasingly the bottleneck is actually product management. So, so the product management bottleneck is now we can build what do we want much faster while the bot…”
Aug 21, 2025 positive
Ng: Startups gain an advantage over incumbents by building for a single persona
“So it turns out one advantage that startups have is while you are early, you can serve kind of one user profile. Today, you know, if you're, I don't know, like Google, right? Google serves such a diverse set of user personas, you really have to think about a l…”
Aug 21, 2025 negative
Andrew Ng: Public AI narrative is skewed by tech giants' PR machinery
“Society's perception of AI has been very skewed by the PR machinery of a handful of companies with amazing PR capabilities. And because that number of companies drove scales and narrative, people think of scale first of this vector progress.”
Aug 21, 2025 negative
Ng: Early career mistake was attempting to train engineers into product managers
“One of my failures, one of the things I did not do well in the early phase of my career for some dumb reason, I tried to make a bunch of engineers product managers. I gave them product manager training, and I found that I just foolishly made a bunch of really …”
Aug 21, 2025 neutral
Aug 21, 2025 positive
Ng: Every AI Fund Employee Knows How to Code
“Everyone in my team at AI Fund knows how to code. Everyone is a good hub account, and I see for a lot of my team members, you know, when my, I don't know assistant general counsel, or my CFO, or my front desk operator, when they learn how to code, they're not …”
Aug 21, 2025 bearish
Aug 21, 2025 neutral
Aug 21, 2025 positive
Ng: High human empathy is the primary correlate of great product instincts
“But I found that one correlate for whether someone, you know, would have good product instincts is that Very high human empathy where you can synthesize lots of signals to really put yourself in other person's shoes to then very rapidly make proper decisions o…”
Aug 21, 2025 bullish
Aug 21, 2025 neutral
Aug 21, 2025 neutral
Aug 21, 2025 positive
Ng: Systematic error analysis with evals separates top AI agent teams
“The single biggest differentiator that I see in the market is, does the team know how to drive a systematic error analysis process with evals? So you're building the agents by analyzing at any moment in time, what's working, what's not working, what do you imp…”