Leverage

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.

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

Quote reply to the previous tweet that captures most of my thoughts well with lots of examples.

Excerpts:

(On design): When designing productivity software, conceptualize it as a medium first and foremost, and a tool secondarily.

(On chatbots as UI): Its browsing, code interpreter, and Dall-E tools are testament to this upside-down design philosophy: the tools go to work first, only thereafter you see some output.

With the exception of code interpreter, interactions with ChatGPT are largely stateless and transactional. Manipulations are indirect.

Similarly, when everyone is saying the same things, simply asking why becomes revolutionary.

ops > mgmt

Dams for rice fields!