I can provide a data point for what the article calls pseudo productivity: I extensively use LLMs as semantic search engines or expert systems (but not as agents). Recently I asked one how to consume a Google Pub/Sub topic using Python (context: I come from an C++/Java/JS background with some Python knowledge). The LLM gave me a good intro and some code. As it usually happens, I had a few follow up questions/clarifications, and then had to clarify the intent behind the code I requested. After a few relatively effortless rounds of back and forth, I got what I needed. It felt productive. But looking at the clock, about 20 minutes had passed without me even realizing it. Then I went and looked at the official overview page for the Google Pub/Sub Python client. It had everything I needed (including the code), in a more condensed, well-structured form. I could probably have arrived at the same outcome in 5-10 minutes. The only difference was that the latter method required some focus/discipline.

I'm wondering whether this is what they call pseudo-productivity: a lot of low-friction back and forth that feels productive, and perhaps even enjoyable, but in objective terms, takes longer?