51–60 of 329 posts
How long before we see a material impact on GDP? It seems like basically every knowledge worker can and will augment their workflows with this tech.
Alternately, 1/10 will be able to adapt to becoming cyborgs responsible for handling the same workload, while 9/10 get laid off
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It needs us as meat robots to maintain the power grid and other industrial infrastructure.
Nicely illustrated in Transcendence (2014). Widely panned on HN back then. I found it smart, perhaps even prescient.
With seemingly every launch, they have a slate of really compelling launch partners already using the new service, giving them a big press bump (from the articles those partners write) and social proof, and of course the product is better because it's already been tested with real customers.
Masterclass in product management.
How long before we see a material impact on GDP? It seems like basically every knowledge worker can and will augment their workflows with this tech.
> It seems like basically every knowledge worker can and will augment their workflows with this tech. Alternately, 1/10 will be able to adapt to becoming cyborgs responsible for handling the same workload, while 9/10 get laid off
Somehow, vastly decreasing the cost per unit output for the work won’t increase the market clearing quantity?
Earlier quoted context omitted.
Nicely illustrated in Transcendence (2014). Widely panned on HN back then. I found it smart, perhaps even prescient.
I also liked Transcendence, but you have to admit the path to AGI was vastly oversimplified. No one is creating AI by uploading their brain into a computer.
Wolfram Alpha was my ChatGPT when I was in school. And many of the same issues ("how will kids learn math now?") were raised at the time. ...Yeah, this seems like a great match, no complaints from me. Those kinds of responses are exactly what LLMs need.
Wolfram Alpha was (at least initially) famously bad* at actually parsing natural language. For math, it was much easier to enter raw Mathematica expression into Wolfram Alpha than structuring the question in natural language. LLMs should give it a boost, by simplifying the kind of the natural language input into the limited forms parsable by Wolfram Alpha. *: And I say this as a paying customer of Mathematica on my c…
gravitational constant times density of tungsten carbide times the volume of the earth divided by radius of earth squared
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For the first time in a decade they have a viable competitor. They must figure it out and I'm confident they will. They understand they're quite literally are facing extinction. I'm sure they're in focused mode since the original ChatGPT announcement, this should get them into proper creative panic mode.
They missed the first-mover advantage with Cloud, and they're now more and more obviously missing it with public AI tools. What's worrying is how Microsoft and Openai are constantly announcing and pushing great stuff live. It makes whatever announcements from Google look minor.
Earlier quoted context omitted.
For the first time in a decade they have a viable competitor. They must figure it out and I'm confident they will. They understand they're quite literally are facing extinction. I'm sure they're in focused mode since the original ChatGPT announcement, this should get them into proper creative panic mode.
They missed the first-mover advantage with Cloud, and they're now more and more obviously missing it with public AI tools. What's worrying is how Microsoft and Openai are constantly announcing and pushing great stuff live. It makes whatever announcements from Google look minor.
They also missed the first-mover advantage with web search.
And webmail.
And online video hosting.
And online ads.
(In fact, very few of the dominant players anywhere in tech had first-mover advantage in that field.)