Cognitive Revolutions

Technology changed how we think and what we think about. But also what we remember and for how long. And perhaps, in the future, if we remember…

Broadcast > Dialog

This article helped me start to connect the dots on how the means of knowledge creation are intertwined with dissemination.

Failing to write down new recipes risks making that recipe short-lived. Why? A lot of the novelty can get lost in translation as people talk because they’re trying to relate the recipe to some existing cooking technique.

Writing it down enables everyone encountering the recipe to carefully compare the recipe against the existing recipes. The novelty is apparent, can be interrogated, and the true novelty in the technique can discovered and be used to update other recipes.

If you want your recipes credited to you (and to outlive you), you need to learn how to write them. Scientists don’t invite every interested scientist to their lab to explain their work, they publish papers with their methods.

Dialog allows people to learn in small communities. Broadcast allows knowledge to travel globally.

The board revolt at OpenAI reminds me of my favorite idea from Yuval Noah Harari’s Sapiens.

The idea of the imagined intersubjective order. Companies are concepts of our collective imaginations. We call them legal entities and assign liability to them. They can be a vehicle for capturing value created by humans. They receive tax assessments. They can even be sued — absolving the people in charge of direct responsibility.

Yet, a company can be dissolved and reincarnated elsewhere by having the employees simply say they resigned and have moved to a new company. And that's how we keep lawyers employed. Tricks of our own cognition.

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.

Mathematics is a an abstraction and it is best broadcast using mathematical notation (a form of writing).

The permanence of sand drawings seem to be the limiting factor here.

Excerpt: “To appreciate how revolutionary Ascher’s perspective was, consider that before her work and that of her contemporaries, scholars generally assumed that only societies with writing could truly practice mathematics. They constrained their investigations of mathematical knowledge to textual sources and ignored many other practices seen in societies with oral traditions that did not use a written language.“