Cognitive Revolutions

This is an idea I'm still workshopping. In summary, new knowledge gets created or discovered over time, as long as people seek it. When that new knowledge is discovered, the means for communicating this new knowledge is poorly defined and crystallizes over time. The best example is language. It is one tool that really separates humans from the rest of the animal kingdom. As Yuval Noah Harari describes in Sapiens, the ability of humans to organize and take action based on things that are not real is not seen elsewhere. People go to war over trivial matters. The ancient Egyptians built pyramids to bury their pharaohs. Language is a cognitive tool. But we have different types of languages now. Languages to express different ideas concisely. Mathematics, musical notation, programming languages, football play calls, internet slang, etc. A new cognitive revolution is brewing - AI. There is a lot of talk about it positive and negative. The risks are real and AI is becoming more accessible. I think it is a democratizing tool. But democracies require participation. We've watched as people have used the internet to leverage themselves to abundance and influence. We've also seen people describe what it's like to be on the other end of that. AI promises to be much more and much faster. What happens when you don't partake in a cognitive revolution? I intended this as an article for my blog a few weeks ago. But I didn't think it was ready yet. I still don't. Hoping to connect the dots here over time.

muizz

Scott Hambrick

x.com

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…

An unofficial history of forms | fdiv.net

fdiv.net

When the first steam engines were introduced, the owners had a really hard time finding people to operate them who wouldn't get drunk in the middle of the day, fuck up, and wreck the machine.

Ben Landau-Taylor

x.com

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.

The biggest problem in shipping is plain English

Hrishi Olickel olickel.com

Amazing things happened when geolocation was democratized. What does the future hold when that happens with intelligence?

Excerpt: “When truly transformative technology becomes accessible, it's hard to imagine how things will change - only that they absolutely will. The release of GPS to consumers was a similar moment - it would have been hard to predict Uber, Doordash and the creation of the gig economy from that final piece being unlocked: accurate location finding and routing anywhere in the world.“

Zero Knowledge Proof

Arthur Hayes open.substack.com

Memecoins as a measure of attention (+ popularity)

They evolved into a variety of hominid species, all of whom have since been discontinued, except one—a saucy one called homo sapiens. For them, the advancements in intelligence proved to be a major survival asset, so their cognitive capacity rapidly increased, developing into an array of shiny new tools that no animal had ever possessed before. Thr... See more

Tim Urban • Page Not Found — Wait But Why

People are made of stories. Our memories are not the impartial accumulation of every second we’ve lived; they’re the narrative that we assembled out of selected moments. Which is why, even when we’ve experienced the same events as other individuals, we never constructed identical narratives: the criteria used for selecting moments were different f

Ted Chiang • Exhalation: Stories

Are We Still Thinking?

Simon Sarris map.simonsarris.com

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.