The Ledger, every show
Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.
shows 




every show 44 of 44
Andrew Ng: Artificial general intelligence is decades or longer away
“So this phantom AGI, someday with AI, they can do everything a human can do. I think we're very far away from that. I would say, you know, like decades away, maybe even longer.”
Andrew Ng: Claims that AI could cause human extinction are ridiculous
“There are a lot of hyped up AI safety narratives saying AI could lead to human extinction, which is kind of ridiculous statement.”
Andrew Ng refuses to hire experienced engineers who ignore AI tools
“Those people, I just don't hire people like that anymore, but there are people that, you know, did a comfortable job, they kept coding the old way, and they just did not learn AI.”
Andrew Ng: AGI is hyped PR, AI will improve continuously for decades
“I feel like because of PR goals, AGI has been hyped up as a finish line, but I don't think it's a finish line. It's just, we'll have continually improving capabilities for, you know, decades to come.”
Andrew Ng: US chip export controls have backfired and accelerated Chinese innovation
“I think the export control on chips has largely backfired. The way that the US and I think that the way the US first put restrictions on Huawei and then later on, you know, exported NVIDIA and AMD and other semiconductors that really incentivized China. So bef…”
Andrew Ng: Being a leader in AI regulation is not a competitive advantage
“If I had one wish for the European regulators, I spoke with quite a few European regulators, I was hearing things like, we want to be leaders in regulating AI, and that's a competitive advantage. And with all due respect, that's not a competitive advantage. So…”
Andrew Ng: Useful AI agentic workflows exist today, disagreeing with Andrej Karpathy
“I disagree with that. I think we're seeing useful agentic workflows right now.”
Andrew Ng: Advising people not to learn coding is terrible career advice
“Even earlier this year, we saw some senior business leaders advise people to not learn to code on the grounds that AI will automate it. We'll look back on that as some of the worst career advice ever given.”
Andrew Ng: AI companies facing existential risk drive the worst industry hype
“The companies with something to lose whose statements over time have become more moderated. So, you know, I find that as your established company, you just say more sensible things, but there are some companies that I think are at greater existential risk. And…”
Ng: Advising people not to learn to code is terrible career advice
“Over the last year, a bunch of people have advised others not to learn to code on the ground so AI will automate it. I think we'll look back on this as some of the worst career advice ever given, because as better tools make software engineering easier, more p…”
Ng: Employees across every job role should learn how to code
“I have a controversial opinion, which is, ah, I think it's time for everyone of every job role to learn to code, and in fact, on my team, you know, my CFO, my head of talent, my recruiters, my front desk person, all of them know how to code, and I actually see…”
Ng: AI existential risk claims are ridiculous hype used to aid fundraising
“This idea that AI is so powerful, we might accidentally lead to human extinction. That's just ridiculous, but it is a hype narrative that made certain businesses look more powerful, and it got Yeah, ramped up and actually help certain businesses fundraising go…”
Ng: Sensationalized AI danger hype is being weaponized against open-source software
“And I feel like this has been used as a weapon against open source software as well, right? Which is really unfortunate.”
Ng: California's SB 1047 would have harmed open-source AI without improving safety
“So I think typing up dangers, supposed false dangers of AI, in order to get regulators to pass laws, like the proposed SB-SB-Ten-Forty-Seven in California, which, thank goodness, we shut down, Would have put in place really burdensome regulatory requirements t…”
Ng: AI companies have made untrue statements to regulators behind closed doors
“I've been in the room where some of these businesses said stuff to regulators that was just not true.”
Andrew Ng: Open-weight AI models are a tremendous source of geopolitical influence
“I think that open-weight models is a tremendous source of geopolitical influence.”
Andrew Ng: China's all-nation industrial commitment is a powerful force
“When China's government makes an all-nation commitment, it's all industrial. Commitment. That's actually a very powerful force that I wouldn't underestimate.”
Andrew Ng: Trump and David Sacks did a good job clearing AI regulations
“I think Trump did a good job and then his whole team, David Sachs and Christian and so on, did a good job clearing out unnecessary regulations.”
Andrew Ng: One engineer can now build six-month projects in a weekend
“There are so many projects that used to take, you know, six engineers, half a year to build, that today I or one of my engineers can build in the weekend.”
Andrew Ng: Businesses face a massive shortage of AI-fluent college graduates
“The fresh college grads know AI. We can't find enough of them. So many businesses would love to hire those fresh college grads.”
Andrew Ng: AI will make intelligence cheap and boost GDP growth
“I hope we can get much closer to five, six or more percent GDP growth. When looking at the future, it turns out one of the most expensive things in today's world is intelligence. This is why it's so expensive, at least in the US, to hire a highly skilled docto…”
Andrew Ng: China is leading the US in releasing open-weight AI models
“China especially has been really taking the lead or, well, Taking a lead or getting up there in terms of releasing tons of really good open way models. So I would say if not, it is kind of not whatever predicted, you know, a decade ago that China AI would end …”
Andrew Ng: Closed AI models and high salaries slow Western AI innovation
“When the US has more closed models, and when, you know, teams are trying to pay these hundred million dollar salaries to extract talent, then that circulation of knowledge becomes very slow, and it slows down the rate of American and European innovation.”
Andrew Ng: China builds a global AI user base via free models
“Open-weight models are a key part of the AI supply chain, and China releasing, you know, free low-cost or free models into that key part of supply chain means it's, Really starting to build up a lead, right, in, in build up a commanding user base”
Andrew Ng: AI application capital recycles through model providers to Nvidia
“In fact, if you look a lot of the application layer investments. Sometimes it feels like, you know, firms are putting in a hundred million dollars so that they can pay Open Ananthropic. So the Open Ananthropic can pay NVIDIA, which is where all the money is, i…”
Andrew Ng: Heavy VC subsidies for AI coding tools cannot continue indefinitely
“I think we're seeing that right now with a lot of VC subsidized, you know, AI coding the laws of physics or the laws of finance says that at some point, right, this can't go on forever.”
Andrew Ng: AI builders should design for future margins, not today's costs
“Absolute margins are important, but when you have a view for where the technology is going, Then it lets you not build for the margins today, but what you can forecast them being in the future”
Andrew Ng: AI technology itself does not create business moats
“AI as a technology Doesn't really offer an answer to the moats for most businesses. So if you're building AI, you know, for drones or legal or for whatever, the moat is more of a function of that industry.”
Andrew Ng: Proprietary software is a significantly weaker moat today
“Previously software used to be a moat, right? If you had, you know, invested 10 years to build a software, it's really hard to replicate that. That one moat is much weaker than before”
Andrew Ng: Enterprise AI adoption and building will take over a decade
“I actually think that a decade from now, we will still be working to identify Valuable applications and enterprises and building them. Having said that, we will make a lot of progress over the next one or two years, but we're not going to be done, you know, ev…”
Andrew Ng: Writing code by hand is becoming obsolete due to AI
“Writing code by hand is becoming obsolete, right? Oh, really don't do that. Not, but they get AI to write code for you.”
Andrew Ng: AI will transition from vertical integration to horizontal standards
“So when an industry is immature, it turns out where to draw those boundaries to let different participants do their part and have it still interoperate. That's less clear. But then as the industry matures in this You know, more standards for if I want to publi…”
Andrew Ng: The AI application layer is already delivering clear ROI
“So what I'm seeing is for the application layer, there is very clear ROI. I think it's fantastic. So someone else trained these models who can build applications for, you know, a 100,000 dollars or a million dollars and start generating ROI.”
Andrew Ng: Moats in coding and API tools are weaker than consumer brands
“So the coding dev tools and API tools market, the mode there's weaker than having a strong consumer brand.”
Andrew Ng: Gaining AI capability from pure scale is becoming extremely difficult
“So I think there is probably a little bit more juice out of the scalability element to this piece, so hopefully you'll consider making progress there, but it's getting really, really difficult.”
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.”
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…”
Ng: Solo developers now build in a weekend what took months
“So, there's so many things that, you know, would have taken a team of six engineers, like, three months to build, that now, today, one of my friends or I was just building on a weekend.”
Andrew Ng: Technical product leaders are far more likely to succeed in AI
“Founders that are on top of Gen AI technology, thus, you know tech oriented product leaders, I think are much more likely to succeed than someone that maybe is more business oriented, more business savvy, but it's not, doesn't have a good feel for where AI is …”
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 …”
Ng: Top Engineers Pair 10+ Years Experience With AI Tools
“The best engineers I work with today are not fresh color strats. They're people with, you know, 10, 15 or more years of experience, but they're also really on top of AI tools, and that, those engineers are just completing a class of their own.”
Ng: The biggest AI economic opportunities must be at the application layer
“And even though a lot of the PR excitement and hype has been on these technology layers, it turns out that almost by definition, the biggest opportunities have to be at the application layer. Because we actually need the applications to generate even more reve…”
Ng: Agentic AI is the most important technology trend in artificial intelligence
“And in terms of AI tech trends, if you ask me what's the most important tech trend in AI, I would say Is the rise of agentic AI.”
Ng: Subject matter expert intuition beats slow data for startup decisions
“Getting data for a lot of startups is a slow mechanism for making decisions. And a subject matter expert with a good gut is often a much better mechanism for making a speedy decision.”
Ng: Code itself is becoming much less valuable as engineering costs drop
“One surprising thing is, we're used to thinking of code as this really valuable artifact because it's so hard to create, but because the cost of software engineering is going down, code is much less of a valuable artifact as it used to.”
Ng's teams rebuilt a codebase three times in one month using AI
“So I'm on teams where, you know, we've completely rebuilt the code base three times in the last month, right? Because it's not that hard anymore to just completely rebuild the code base, pick a new data schemer, it's fine, because the cost of doing that has pl…”
Ng: AI turns software architecture decisions into reversible two-way doors
“So choosing the software architecture of your tech stack used to be a one-way door. Once you're built on top of a certain tech stack, you know, set a database schema, really hard to change it. So that used to be a one-way door. I don't want to say it's totally…”
Ng: Product management is becoming the software bottleneck as engineering accelerates
“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, that is increasingly the bottleneck.”