"This tool 10x the productivity of software engineers" "GREAT! That means we can fire the people who do the actual work, and replace them with MBA robots, who neither understand nor care about making a good product" Pardon my pessimism, but in my whole career, I have never met a PM who actual did the work of driving the product vision. Most were just middlemen shuttling information between management, marketing, desi…
Andrew Ng says bottleneck in AI startups isn't coding – it's product management
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Re: Andrew Ng says bottleneck in AI startups isn't coding – it's product management
#62Earlier quoted context omitted.
Many people are seeing huge gains in coding productivity with AI. If you're not one of those people it might be useful to evaluate why you aren't experiencing any benefits, instead of claiming that there are none.
> If you're not one of those people it might be useful to evaluate why you aren't experiencing any benefits, instead of claiming that there are none. It might be that the gp is smart enough to code without a crutch.
Re: Andrew Ng says bottleneck in AI startups isn't coding – it's product management
#63Re: Andrew Ng says bottleneck in AI startups isn't coding – it's product management
#64Earlier quoted context omitted.
> Many people are seeing huge gains in coding productivity with AI. I don't want to speak for the person you replied to, but I think that their main point is... are they? I see lots of articles about huge increases in productivity, but I think it's fair to argue that we've yet to see the huge increases in useful products that would surely (we hope) result from that if it were true.
I'm speaking just to coding productivity. I think AI does very little for business development or creativity type issues. People should realize that denying that AI can boost productivity in coding makes it look like they don't know how to use it, or believe in some conspiracy that no one is actually benefitting and it's all market hype from tech bros.
I've shadowed people who believe AI is helping them, and it seems to me that some of them don't notice how much effort they're spending while others don't bother to correct the 80% version once tests are passing.
Re: Andrew Ng says bottleneck in AI startups isn't coding – it's product management
#65"This tool 10x the productivity of software engineers" "GREAT! That means we can fire the people who do the actual work, and replace them with MBA robots, who neither understand nor care about making a good product" Pardon my pessimism, but in my whole career, I have never met a PM who actual did the work of driving the product vision. Most were just middlemen shuttling information between management, marketing, desi…
As you imply, that role is really more a director role, not a manager role. A manager managers, a director directs, including the vision and product market fit. Most Product Managers I see do not have that authority at all, and at best are constantly having to convince "leadership" like some door-to-door salesman, rather than simply updating leadership in an advise and consent format.
Re: Andrew Ng says bottleneck in AI startups isn't coding – it's product management
#66Re: Andrew Ng says bottleneck in AI startups isn't coding – it's product management
#67Andrew Ng has had a really sad career trajectory to a point where it's hard to take him seriously anymore. When I started in ML the very first course I took was actually Andrew Ng's course and it was amazingly good. But the past few years whenever he pops up, it always seems to be him repeating the talking points of some AI company that's paying him money. It's like seeing your hero turn into a complete sellout, shov…
You haven't made any quantitative statements. Low effort personal attack. Who is paying him here? From your comment, you can't even tell the topic, let alone the actual idea he is putting forth.
https://www.businessinsider.com/andrew-ng-vibe-coding-unfort...
So, at least his investors that he convinces are paying him. I do not know if he has other engagements in that area like speaker's fees etc.
Re: Andrew Ng says bottleneck in AI startups isn't coding – it's product management
#68"This tool 10x the productivity of software engineers" "GREAT! That means we can fire the people who do the actual work, and replace them with MBA robots, who neither understand nor care about making a good product" Pardon my pessimism, but in my whole career, I have never met a PM who actual did the work of driving the product vision. Most were just middlemen shuttling information between management, marketing, desi…
well, in my experience as a developer integration between different systems with different views about how things should work is often the most challenging part of the job, so what you describe sounds like it would be difficult.
Re: Andrew Ng says bottleneck in AI startups isn't coding – it's product management
#69If AI is that good, can someone code a good XML library with AI? The spec is available. If AI is that good, there should be an explosion of Open Source projects of good quality. Neither of those is happening.
Many people are seeing huge gains in coding productivity with AI. If you're not one of those people it might be useful to evaluate why you aren't experiencing any benefits, instead of claiming that there are none.
Otherwise it sounds like "many people have had their lives changed by {insert philosophical/religious movement}, so if you're not finding it true you should look into what's wrong with you."
Re: Andrew Ng says bottleneck in AI startups isn't coding – it's product management
#70If AI is that good, can someone code a good XML library with AI? The spec is available. If AI is that good, there should be an explosion of Open Source projects of good quality. Neither of those is happening.
One thing that has changed for me personally is that these days if I’m parsing XML, I might just tell AI to write a parser that can handle these 5 XML files. It might load up a library or it might just roll its own, but one thing that is not going to happen is that I’m not building some beautiful well engineered XML parser which I then open source. I wonder if that is what’s going on?
First of all, nobody is writing and open sourcing their own XML parser in 2025, so that's hyperbole.
Second, the boilerplate to use most XML libraries can be copy/pasted out of their docs. So where is AI saving you time here? The prompting and other BS is a waste of time and just looks silly, and you still have to read and understand the code. At best it seems like breaking even.