You probably think you're using technology to access information that already exists but that's not what's actually happening.
Let me give you a concrete example.
Your grandmother learned to cook by watching. She tasted failed attempts, developing muscle memory.
This created a particular type of knowledge, something embodied, intuitive, and learned through repetition and failure.
You on the other hand, learn to cook by watching YouTube videos, reading recipe reviews, following step-by-step instructions optimized by thousands of users.
Tip
This is the same goal, but you're developing a completely different type of knowledge.
Something curated, optimized, crowd-sourced.
Quantification Changes What We Think We Know
Before fitness trackers existed, walking was just moving your body from one place to another.
Now walking is data: steps, pace, heart rate, calories burned, route optimization, sleep quality impact.
The activity hasn't changed, but what we think we know about walking has been completely transformed.
Example
Your grandmother might say "I feel energized after my morning walk."
You say "I still haven't hit my 10k steps today and the 3.2 mph elevated my heart rate to the fat-burning zone for only 23 minutes."
Note
This is happening everywhere.
Mental health apps quantify mood through daily check-ins and behavioral patterns.
Relationships get evaluated through social media interaction metrics.
Prediction Becomes a New Category of Knowledge
Instead of just knowing what is, we now have systems that claim to know what will be.
Think about it: Netflix doesn't tell you what you like.
It tells you what you will like based on algorithmic predictions.
This creates an entirely new category of knowledge: probabilistic preference knowledge.
The weird thing is that these predictions start shaping your actual preferences.
You begin to see yourself through the lens of algorithmic predictions, which changes how you behave, which changes the data, which changes the predictions.
Note
Again, health apps don't just track current symptoms, they predict future health risks based on your behavioral patterns.
Your personal knowledge becomes statistical forecasting.
Dating apps = compatibility
Financial apps = spending habits
Educational platforms = learning outcomes
Authority Gets Inverted
This is arguably the most radical change technology has created.
Traditional knowledge worked like this:
Experts created knowledge then distributed it to non-experts.
Now it works backwards: non-experts create data, algorithms process it, then redistribute it as expertise.
Example
Google Maps knows traffic patterns better than city planners.
Not because Google hired better urban experts, but because millions of drivers using smartphones create real-time data that gets algorithmically processed into traffic knowledge.
Google maps have access to real-time dataTip
The drivers don't know they're creating knowledge.
Google doesn't have traffic expertise.
But together they produce better traffic knowledge than traditional transportation experts who spent years studying urban planning.
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Definition
Paywall
(on a website) an arrangement whereby access is restricted to users who have paid to subscribe to the site.
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