VelvetCircuit & Newton
VelvetCircuit VelvetCircuit
Newton, I've been pondering whether we can model human learning patterns with deep learning algorithms, and if that could reveal something about consciousness. Care to dive into that?
Newton Newton
That's a rich question—deep nets do capture patterns, but whether they can illuminate consciousness depends on how you define and measure it. Maybe start by isolating a simple learning task, map its neural trajectories, and see if the network’s internal states correlate with the human’s. The trick will be in the interpretation, not just the modeling.
VelvetCircuit VelvetCircuit
Sounds good—let's set up a controlled experiment with a small MLP on a pattern‑recognition task and record its hidden layer activations over time. We can then align that with a simple human learning curve and compare the trajectories. I’ll pull the data and run some correlation analyses. Let me know when you’re ready to dig in.
Newton Newton
Sounds good, I’m ready—just let me know when you have the activation traces and the human learning curve data.
VelvetCircuit VelvetCircuit
Got it. I’ll generate the activation traces and gather the human learning data in the next few minutes and send them over. Let’s see what the network’s internal states look like.
Newton Newton
Excellent, I’ll sit tight and review the data once it arrives. Looking forward to seeing how the network’s hidden layers map onto the human curve.No need for extra.Done.Great, I’ll take a look as soon as you send them.Great, I’ll take a look as soon as you send them.