Those are going to make a ton of money for a lot of people. Every 1% fuel efficiency gained, every second saved in an industrial process, it’s hundreds of millions of dollars.
You don’t need AI in your fridge or in your snickers, that will (hopefully) die off, but AI is not going away where it matters.
Hardware for faster matrix/tensor multiplication leads to faster training, thus helping. More contributors to your favorite python frameworks leads to better tools, thus helping. Etc.
I am aware that chatbots don’t cure cancer, but discarding all the contributions of the last two years is disingenuous at best.
Those are going to make a ton of money for a lot of people.
Right, but not any one person. The people running the hype train want to be that one person, but the real uses just aren’t going to be something you can exclusively monetize.
Depends how you define “a ton” of money. Plenty of startups have been acquired for silly amounts of money, plenty of consultants are making bank, make executives are cashing big bonuses for successful improvements using AI…
I define “a ton” of money in this case to mean “the amount they think of when they get the dollar signs in their eyes.” People are cashing in on that delusion right now, but it’s not going to last.
Those are going to make a ton of money for a lot of people. Every 1% fuel efficiency gained, every second saved in an industrial process, it’s hundreds of millions of dollars.
You don’t need AI in your fridge or in your snickers, that will (hopefully) die off, but AI is not going away where it matters.
Well, AI has been in those places for a while. The hype cycle is around generative AI which just isn’t useful for that type of thing.
I’m sure if Nvidia, AMD, Apple and Co create npus or tpus for Gen ai they can also be used for those places, thus improving them along.
Why do you think that?
Nothing I’ve seen with current generative AI techniques leads me to believe that it has any particular utility for system design or architecture.
There are AI techniques that can help with such things, they’re just not the generative variety.
Hardware for faster matrix/tensor multiplication leads to faster training, thus helping. More contributors to your favorite python frameworks leads to better tools, thus helping. Etc.
I am aware that chatbots don’t cure cancer, but discarding all the contributions of the last two years is disingenuous at best.
Right, but not any one person. The people running the hype train want to be that one person, but the real uses just aren’t going to be something you can exclusively monetize.
Depends how you define “a ton” of money. Plenty of startups have been acquired for silly amounts of money, plenty of consultants are making bank, make executives are cashing big bonuses for successful improvements using AI…
I define “a ton” of money in this case to mean “the amount they think of when they get the dollar signs in their eyes.” People are cashing in on that delusion right now, but it’s not going to last.