That was true of industrial technology in 1870-1970; people basically got used to the idea that railroads and factories and oil and industrialized warfare and such matters were central to the way the world was run and to the collective future of humanity. AI is going to be like that going forward, and we’re just going to have to get used to that.
to make *actually* good software, you have to use it a lot
but many people are spending more time in their coding agents/factories than in the apps they're building - so they won't
I think for a very long time we had this this almost nebulous way of thinking about page load times. And the team felt like it was finally time to come up with a more nuanced perspective around how we reason about performance.
And then in terms of the capital intensive like AI in a factory and also the foundry and then you really need to tap either government funding or some sovereign fund
An agent has no such learning ability. At least not out of the box. It will continue making the same errors over and over again. Depending on the training data it might also come up with glorious new interpolations of different errors.
um humanoid robots maybe start to or robotics at least start to but the main factor is going to be for reducing the number of people is modularizing things and making them in factories in Asia
It has a surplus of STEM graduates that are often underemployed, while "Hukou" residency restrictions complicate hiring hourly labor in coastal factories.
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