AI

llms are trained on internet-scale datasets, but their effects are not like the internet.
calculators — or tables that can be calculated on (llm + rag) — are better analogs.
the rise of spreadsheet applications allowed professionals to migrate their tables to spreadsheets. eventually, they put even fancier wrappers around their spreadsheets in vertical applications.
Technological change is only possible with societal (behavioral) change
To use databases, you need to be able to think about your data in a structured way. The people who could do that gained most of the leverage from using databases. The folks who made it easy for people to transition to databases (ERPs and Co) captured the rest.
AI systems are fundamentally scalable decision making engines. And data is the oil required to power it. If you want to properly leverage AI, you need to make sure you're fueling it with the best refined data.
Otherwise, you're no different than the drunk trying to reliably operate complex machinery. The only repeatable part of that is injury.
Reading habits. Book clubs?

ternary plot ftw
LLMs are better with an internal monologue

Convenience can indeed become a burden
Hill-Making vs Hill-Climbing
kk.org
The Death of the Junior Developer
sourcegraph.com
AI adoption and capabilities are distributed bimodally across industries.
Writing-heavy professions like writing, law, software are feeling it first. It doesn't feel that way because other industries are still untouched. That may continue for long or it might not.
It's always calmest before the storm