You're absolutely saving time, checking that the code works is far less time consuming than writing it. Especially for stuff like UIs or service endpoints. I literally work with this stuff on daily basis, and I would never go back. There's also another aspect to it which is that I personally find it makes my workflow more enjoyable. It lets me focus on things I actually want to work on, while automating a lot of boilerplate that I had to write by hand previously. Even if it wasn't saving me much time, there's a quality of life improvement here.
That's where the rate of success becomes important. LLMs mostly produce decent code when applied to common cases like the examples I gave above. My experience is that vast majority of the time it's as good as what you'd write, occasionally needing minor tweaks. However, there's nothing forcing you to use the code they produce either. If the LLM stumbles, you can always fall back to writing the code by hand which leaves you no worse off than you would've been otherwise. It's all about learning how the tool works and when to use it.
Please read what I actually wrote above because it addresses your question. There's no contradiction here, BoC expects inflation to rise as a result of QE, but the reason for that people who own companies decide to raise prices. Let me know if you're still having trouble understanding this, and need me to use smaller words.
The only thing weird here is that a grown ass adult would have trouble understanding something so basic.
Have you considered that he didn't want to live under an oppressive authoritarian regime that arrests people for protesting genocide though?
I think it's going to be humans that implement actually interesting code while LLMs handle common and tedious stuff. That's the approach I've been using at work. When I need to crap out a UI based on some JSON payload, or make an HTTP endpoint, I let the LLM do it. When I have some actual business logic that's domain specific, I write that myself. This allows me to focus on writing code that's actually interesting, while the LLM does all the tedious work.
Which is why capitalist shitholes of the west are now visibly coming apart at the seams.
First of all, we have plenty of real world examples of socialist societies, and plenty of Marxist theory has been written by people living within these societies. Second, we don't need a blueprint for a perfect society. The goal is to recognize the problems that we have, try come up with solutions, and iterate on that. It's the direction of travel that matters.
Yeah, then you're listening to the fucking person who liberated millions of people from capitalist oppression. The horror!
LMFAO, prices aren't a force of nature, they are set by people who own businesses who want to increase their profits. It's obvious that the issue doesn't lie with QE, but with private ownership of essential industries.
Yes, I've seen this as well. First of all, 16 devs is a tiny sample, a far bigger study would be needed to get any meaningful results here. Second, it really depends on how experienced people are at using these tools. It took me a while to identify patterns that actually work repeatably and develop intuition for cases where the model is most likely to produce good results.