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I have to start doing this for "top level"ish commentary. I've frequently wanted to nucleate discussions without being too orthogonal to thread topics.
Earlier quoted context omitted.
Oh horses fart a lot too.
Horses poop a lot. A lot.
"it is quite normal for a horse to poo (defecate) 8-12 times a day and produce anywhere from 13 to 23 kilograms of poo a day."
"Computers aren't the thing. They're the thing that gets you to the thing." My favorite quote from the excellent show halt and catch fire. Maybe applicable to AI too?
I found it very caricature, too saturated with romance - which is untypical for tech environment, much like "big bang theory".
Ai is a horse, i get it! I have a horse, and I put money in the front of the horse, and get "ponyium" out the back.
"Computers aren't the thing. They're the thing that gets you to the thing." My favorite quote from the excellent show halt and catch fire. Maybe applicable to AI too?
Something like that used to be Apple’s driving force under Steve Jobs (definitely no longer under Tim Cook). https://youtube.com/watch?v=oeqPrUmVz-o&t=1m54s > You’ve go to start with the customer experience and work backwards to the technology. You can’t start with the technology and try to figure out where you’re going to try to sell it.
The Internet begs to differ. AI is more akin to the Internet than to any Mac product. We're now in the stage of having a bunch of solutions looking for problems to solve. And this stage of AI is also very very close to the consumer. What took dedicated teams of specialised ML engineers to trial ~5-10 years ago, can be achieved by domain experts / plain users, today.
Earlier quoted context omitted.
Something like that used to be Apple’s driving force under Steve Jobs (definitely no longer under Tim Cook). https://youtube.com/watch?v=oeqPrUmVz-o&t=1m54s > You’ve go to start with the customer experience and work backwards to the technology. You can’t start with the technology and try to figure out where you’re going to try to sell it.
> You can’t start with the technology and try to figure out where you’re going to try to sell it. The Internet begs to differ. AI is more akin to the Internet than to any Mac product. We're now in the stage of having a bunch of solutions looking for problems to solve. And this stage of AI is also very very close to the consumer. What took dedicated teams of specialised ML engineers to trial ~5-10 years ago, can be ac…
We've always had that.
In olden times the companies who peddled such solutions were called "a business without a market", or simply "a failing business." These days they're "pre-revenue."
Maybe it will be different this time, maybe it will be exactly the same but a lot more expensive. Time will tell.