Something tells me congitively it's making us misjudge how productive it's making us.
It's clearly massively increasing output, but did the market already soak up all that productivity and now it's not compensated?
If your salary is 50k. And Claude makes you 2x as productive, why aren't you earning 100k?
Why is it anyone can't afford $200/mo if it's truely increasing worker productivity?
There seems to be a paradox here.
Personally I switched to Z.ai and GLM quite some time ago. I've not noticed any decrease in quality or quantity of my work.
Productivity wise employment is far more than code production productivity in a vacuum, and productivity gains are rarely captured by employees (see famous chart on worker productivity where that correlation changed around 1970). I wouldn’t expect to see much in the next 1-2 years besides noticing effective teams increasing velocity of features.
I think people in forums like complaining about things and aren’t representative of the broader set of people who are just using the tools, so no real paradox. For vast majority of tech jobs, $200/mo is still an absolute steal in terms of what these tools offer. Only the dullest of companies would not realize this.
Fwiw in the 80s-90s computers also didn’t really register in productivity metrics. Qualitative changes occur long before accurate measurement catches up.
Guess they’ve decided to move in the direction of allocating compute primarily to power users and enterprise.
But power users are not a sticky customer base. I just bought the ChatGPT Pro plan and would immediately switch over if the model performance is better and/or I get more compute.
Not too expensive
I heard they disabled signups for non-business accounts too.
Best forget about using Claude Opus models in Copilot.
Guess it democratizes it if you have money, huh?