Comment by zer00eyz
15 hours ago
> Hypereautomation will kill jobs and destroy the economy.
What do you think that were going to hyper automate?
Did my gardener get faster? How about the plumber I need? Are you going to speed up the coroner? Are nurses going to be able to handle 2x the patients because of your work?
All AI has done, so far, is devalue software. It did that by democratizing its creation. We're delivering on the promise of VB script, and Apple Script and IFTT, and every drag and drop coding tool ever.
> companies are delivering products at vibe coding speeds
Who? Make me a list of companies saying that "We moved the needle with AI" who arent AI companies? I can name a couple - Grindr being the biggest name. Thats the really interesting use case here - because it's a niche product with a small team who is generating outsized value. AI tooling enables more of that - it's going to chip away at SAAS companies - their one sized fits all solutions are going to get eaten by smaller more efficient companies that are far more vertical focused.
You need to step outside the bubble of tech and look at the real world, on the ground, because it doesn't look anything like the SF Bay Area.
Meanwhile in the real world hundreds of billions are being invested into humanoid robot development. In 2-3 years my Optimus 4 will do all the gardening and plumbing I need.
Fusion Reactors, Flying Cars, Self Driving Cars...
We're really bad about predicting the future.
Look at the whole robot vacuum market. These aren't exactly great devices. They have low suction small bins and dont do a great job. People love them and think that they work so well. Why? Because they keep their house clean and avoid making the sorts of messes that would be easy to address with a larger vacuums.
We have nuclear reactors, helicopters, and self driving cars already. And we finally have powerful AI that we could only dream about just 5 years ago.
We now have everything we need to scale up humanoid robot training: algorithms, hardware, and money to buy a lot of training data/compute. Fierce competition and strong economic motivation will force rapid progress in this field.