AI has already ingested the entire open internet. Now, we need data no one else has. Here are three promising kinds of data we should be searching for…
Real World Experiments
AI can tell you Newton’s laws or explain relativity. But how does titanium perform when blasted by C4?
To find out, you need to run some experiments.
Experimental data will help AI understand the real world. If we understand how materials perform in an explosion, we could design armored vehicles that protect our soldiers better.
We also need experiments in biology and chemistry. How will a cell line respond to a certain chemical? Someone has to get in the lab and find out.
You’ll need to partner with academic and corporate labs or even start your own. You’ll be creating data nobody else has.
Battlefield Data
Militaries are using AI to gain an edge. But to win, AI tools must understand what’s actually happening on real battlefields.
We need satellite images, camera feeds from drones and reports from front line commanders.
This data isn’t on the open internet. Most of it is classified.
If you can can gather securely and help the Department of War get insights from it, you’ll go a long way to keeping our country safe.
Sound
A robot hears the screech of metal rubbing against metal. It should know enough to stop and diagnose the problem.
But to do that, AI must understand sound.
Sound is a highly neglected form of data.
Is that whine a turbine that’s about to fail? Does that creaking mean a structure is buckling?
To figure that out, we will need millions of hours of a audio recordings.
Wrap-Up
If you’re a founder looking for an opportunity, consider digging deep on one of these three data types.
AI labs are hungry for unique data. If you can provide it, your startup will grow incredibly fast.
I’m very bullish on the AI data market. So if you’re building in one of these 3 areas, shoot me a message on X.
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