Key Takeaways

• Tesla's AI learns exclusively from camera input, just as humans learn primarily through vision
• Visual information reaches our subconscious cognition more effectively than text
• Digital signage leverages this visual-first learning mechanism for deeper engagement

Topics

• AI & Machine Learning
• Neuroscience
• Cognition
• User Experience

Transcript

AI is a super hot topic right now and all of those new large language models are being trained on data publicly available from the internet. However, one of the more mature AI models is actually Tesla's autopilot. This is the model that helps autocorrect and drive the car. Now this model was trained exclusively on camera input, so it's visually trained. Elon explains why. I mean humans are photons in, controls out. The vast majority of information reaching our brain is from our eyes. And so what's the output? The output is our motor signals to our fingers and mouth in order to communicate. So what Elon is getting at here is that as humans we learn a huge amount through our eyes. Think of a small child. Before they can speak, before they can read, they are learning very visually and picking up a whole sense of what the world is really all about and then seeing how people are reacting to that. So in Tesla's case, by filming drivers, just having live inputs of film as they're on the road, we can begin to learn that's a bicycle, that's a potential hazard, we need to slow down now. All of this was done visually without having to feed data into the model. Digital science kind of works pretty similar, right? It's visual, going into our subconscious cognition in the right environment. We learn so much more than we realize through our eyes than necessarily by what we're told to read and think about.