[rocmcd]

This is the true litmus test IMO. If LLMs are so great and make everyone so productive, then where are the results? Where are all of the amazing products being released that otherwise would have required 10x the investment? Shouldn't there be _anything_ we can point to that shows that the "productivity needle" is being moved?

[ramigb]

I don't think it makes everyone so productive, tbh! If you really know what you are doing and are willing to burn tokens, it will really take your work to the next level—provided you don’t work with a niche product or language that the models weren’t trained on.

If I may use an analogy, it's like what sampling is for music producers. The sample is out there—it’s already a beautiful sample, full of strings and keys, a glorious 8-bar loop. Anyone can grab it, but not every producer can sell it or turn it into a hit.

In the end, every hype train has some truth to it. I highly suggest you give it a shot, if you haven't already. I’m glad I did—it really helped me a lot, and I am (unfortunately, financially) hooked on it.

[pluto_modadic]

then find a "great" artist willing to cosign that they made something using that AI, vs their own talents.

[Timber-6539]

The demo is the work. Social media views is where the productivity is being moved. And VCs are paying for this ball to keep rolling hoping to eventually cash out big some day.

AI is an irrational market at the moment and this is not going to change anytime soon.

[Kiro]

What are you on about? It's happening everywhere, in all companies. It's literally impossible to miss and how to handle the massive increase in code output is becoming a well-known problem. I think it's interesting how the naysayers claim that it's not happening, yet simultaneously worry about the large amount of low-quality code being produced.

[pluto_modadic]

lines of code is not equal to features released. especially when you have to diagnose faulty code in production later. So... low quality code is worse than no code.