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Welcome back everybody for another deep dive.

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This time we're gonna be tackling the free energy principle

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in neuroscience.

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Okay.

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And this idea suggests that our brains

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are like prediction machines

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that are constantly trying to minimize

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something called free energy.

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Uh!

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We've got an excerpt from a video titled

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free energy principle explained

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as our main source material.

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Basically it proposes that the reality we experience

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might be more of a controlled hallucination

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than we realize.

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Whoa!

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What a fascinating concept.

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The idea is that our brains aren't just

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passively taking in information, you know.

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Right.

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They're actively predicting what we'll see,

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what we'll hear, and even what we'll feel.

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The sensory data that we do get just kind of confirms

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or refines those predictions rather than dictating them.

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That's a pretty wild way to think about

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how our brains work.

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Why would our brains evolve to function like this?

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I mean, what's the advantage of living

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in a prediction based reality?

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Well, imagine our ancestors trying to survive

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in a world that was full of danger

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and incomplete information.

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So, picture trying to spot a tiger

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that's hiding in the jungle.

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You're only seeing little glimpses

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of its stripes through the leaves.

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Oh, I see.

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A brain that simply reacts to those fragmented visuals,

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just those little stripes wouldn't last very long.

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That's true.

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A more sophisticated system would definitely be needed

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to survive in that kind of environment.

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Exactly.

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Our brains had to evolve to become expert model builders.

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You know, filling in the gaps,

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predicting what's likely to happen next.

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It goes way beyond just simple stimulus and response.

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So it's like the brain is taking those stripes

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and combining them with its knowledge of tigers,

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their shape, their behavior, you know,

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the danger they represent all

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to create a complete picture,

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even when it doesn't have all the information.

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That's amazing.

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It is.

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And this is where this idea of free energy comes in.

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It's essentially a measure of surprise

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or tension in the brain.

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When the sensory data that we actually get

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doesn't match our brain's existing models of the world,

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that creates this free energy.

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And you know, like any efficient system,

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the brain wants to reduce that energy.

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So are you saying that our brains are constantly trying

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to explain away surprises

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by sitting them into our existing worldview?

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Yeah.

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That's kind of unsettling if you think about it too much.

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Well, it's not necessarily about ignoring reality,

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but more about trying to make sense of it

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with the information that we have.

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Think of your brain as a judge weighing evidence, right?

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Okay.

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On the one side, you've got the sensory data,

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what you see, what you hear, and what you feel.

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And then on the other side, there are your prior beliefs.

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These beliefs are shaped by evolution

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and your own experiences.

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It's like the brain is trying to solve a puzzle.

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It's trying to fit those pieces of sensory data

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and those pieces of belief together

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in a way that makes sense.

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That's a great way to put it.

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So the brain's constantly trying to reconcile

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those two sources of information,

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and this balancing act is what drives our perception.

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The brain uses its models

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to create explanations for things.

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It checks those explanations

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against incoming sensory data,

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and then it refines its understanding

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based on the results.

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You keep mentioning these models that the brain uses.

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What exactly are those?

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Are we talking about like miniature dioramas in our heads?

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Not quite.

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This is where we get to the brain's incredible ability

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to handle complex information.

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We have these things called latent neurons,

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and they aren't directly connected to sensory input.

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Instead, they represent abstract concepts and causes

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like at different levels of detail.

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Abstract concepts.

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What does that even mean in terms of brain activity?

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Okay, so think of a 3D scene in a program like Blender.

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You've got all these sliders controlling things

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like the position of an object, the color, the lighting.

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Those sliders are like our latent neurons

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representing high level features of the scene.

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Okay, so the rendered image in Blender

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is like the complex sensory data that our brain receives.

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Yes.

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And then the latent neurons are like the controls

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that determine what that image looks like.

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Exactly, and just like we learn

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which slider combinations make sense in Blender, right?

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Our brains learn which combinations

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of latent neuron activity are most likely

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to occur in the real world.

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Okay.

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And these learned probabilities become

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what we call our priors.

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Our priors.

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Our preconceived notions about what's plausible.

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But here's what I don't get.

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We don't perceive the world by adjusting sliders, right?

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Right.

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We get that finished image.

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We get the sensory data, and then we have to figure out

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what caused it.

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Yeah.

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How does the brain reverse engineer that whole process?

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That's where the recognition model comes in.

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Ah, okay.

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And this works in the opposite direction

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of the generative model.

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So given a sensory input, it tries to figure out

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the most likely combination of latent neuron activity

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that could have caused it.

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It's like looking at a cake and trying to guess the recipe

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based on its appearance and taste.

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So it's basically an educated guess that the brain makes

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and then can refine over time.

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Exactly.

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It's amazing to think our brains are constantly

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making these calculations without us even realizing it.

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That's right.

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And the brain uses this back and forth

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between the generative and recognition models

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to constantly try and minimize that free energy

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that we talked about.

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You're telling me that something as simple

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as seeing a chair involves this complex dance

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between models and predictions and comparisons

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with sensory data, that's kind of mind blowing.

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Absolutely.

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And this process isn't just about those split second

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perceptions, you know, over time our brains refine

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both their generative and recognition models.

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They're learning to predict and explain the world

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around us more accurately.

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So it's like our brains are always learning and adapting.

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Constantly.

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I see.

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This is all starting to click.

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We're not just passively absorbing information.

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We're actively shaping our reality

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through this ongoing process of prediction and refinement.

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That's a pretty powerful concept.

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It is.

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And to illustrate this in action,

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let's revisit that illusion that you mentioned earlier,

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that rotating mask.

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Oh, right.

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You showed us this mask that looked convex,

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even when we knew that it was actually concave.

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It was like our brains just totally

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refused to see it any other way what was going on there.

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Well, that illusion, that really highlights

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how strong those priors can be.

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They can sometimes even override contradictory sensory

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information.

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You know, our prior belief that faces are convex,

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built up over, I mean, our whole lives.

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It's so strong that the brain often assumes

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unusual lighting rather than a concave face.

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So it's like our brain is saying, OK,

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I've seen thousands of faces and they've all been convex.

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Even though these shadows are telling me otherwise,

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I'm going to stick with what I know.

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Exactly.

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So from a free energy perspective,

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it's less costly for the brain to stick with this fundamental

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prior than it is to reinterpret that sensory evidence.

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It's always looking for that simplest explanation.

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That's a fascinating insight into how our brains work.

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It makes you wonder just how much of what we perceive

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is actually influenced by these really deeply ingrained

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priors.

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It's a question philosophers and neuroscientists

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have been debating for, well, ages.

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The free energy principle offers a new way

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to think about these fundamental questions

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about perception, consciousness, and really reality itself.

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This whole concept of free energy

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is really making me think differently about how my brain

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operates.

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So we've been focusing mostly on how we see the world.

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But does this theory apply to other things, too?

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Sure.

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Like learning or even consciousness?

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Well, that's one of the remarkable things

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about this free energy principle.

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It provides this framework for understanding not just

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perception, but also things like learning, action,

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and even consciousness.

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Hold on.

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Are you saying that our conscious experience is just

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a byproduct of our brains trying to predict the world?

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That's a pretty huge leap.

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Well, it's a bit more nuanced than that.

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The idea is that conscious awareness

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might emerge from the brain's need

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to represent its own internal state,

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so its beliefs and uncertainties,

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as part of this overall model of the world.

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So instead of just predicting what's happening out there,

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the brain also needs to predict what's going on internally.

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That's the idea.

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I'm trying to wrap my head around this.

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Can you give me an example, maybe?

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Sure.

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So think about reaching for a cup of coffee.

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Right.

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Your brain predicts what that movement should feel like,

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what the cup should look like as your hand gets closer,

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and so on.

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Right.

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And if the feedback from your senses

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actually matches those predictions,

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then that free energy is minimized.

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I see.

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And you successfully grab your coffee.

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OK, that makes sense.

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Yeah.

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But what if you misjudge the distance and knock the cup over?

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Does that create a surge of free energy then?

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Exactly.

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So that unexpected outcome, that signals to the brain

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that, hey, your model needs some updating.

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Oh, OK.

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Maybe you adjust your internal representation

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of the cup's location, or you refine your motor skills

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for future reaching, or even learn

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to be more cautious around coffee cups.

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Right.

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Right.

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So even our mistakes can help our brains learn and adapt.

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That's pretty reassuring.

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It is.

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Every action we take, every interaction

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that we have with the world, becomes an opportunity

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to test and refine those internal models.

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It's this continuous loop of predicting, acting,

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getting that feedback, and updating our understanding.

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So is that how consciousness fits into all of this?

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Is it just the brain becoming aware of its own awareness?

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Well, that's one of the intriguing ideas

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that people are exploring.

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Yeah.

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Some theories suggest that this internal model,

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so this representation of our mental states,

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that's what actually leads to the subjective experience,

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to the feeling of what it's like to be us.

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It's like the brain looking inward

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and modeling its own internal processes

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as part of its overall effort to minimize that free energy,

278
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to make sense of the world both inside and out.

279
00:09:49,680 --> 00:09:50,160
OK.

280
00:09:50,160 --> 00:09:51,680
This is starting to get really meta.

281
00:09:51,680 --> 00:09:53,440
I'm starting to see how this theory connects

282
00:09:53,440 --> 00:09:55,320
all these different aspects of our mental lives,

283
00:09:55,320 --> 00:09:57,960
and we started with this simple idea

284
00:09:57,960 --> 00:09:59,720
of the brain as a prediction machine,

285
00:09:59,720 --> 00:10:01,280
and now we're talking about consciousness.

286
00:10:01,280 --> 00:10:04,400
It's a testament to the potential of this theory,

287
00:10:04,400 --> 00:10:05,120
I think.

288
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It connects all these seemingly separate ideas

289
00:10:08,320 --> 00:10:11,120
and really offers a fresh perspective on the human mind.

290
00:10:11,120 --> 00:10:12,040
I agree.

291
00:10:12,040 --> 00:10:14,080
We keep coming back to this idea of the brain

292
00:10:14,080 --> 00:10:15,600
as this model builder.

293
00:10:15,600 --> 00:10:17,400
It seems to be the underlying theme

294
00:10:17,400 --> 00:10:19,200
that connects all these concepts.

295
00:10:19,200 --> 00:10:20,600
I think that's a key insight.

296
00:10:20,600 --> 00:10:23,160
If we are fundamentally prediction machines,

297
00:10:23,160 --> 00:10:27,240
constantly trying to minimize surprise and uncertainty,

298
00:10:27,240 --> 00:10:30,560
that really shapes everything from how we see and act

299
00:10:30,560 --> 00:10:34,320
in the world to our beliefs and even our sense of self.

300
00:10:34,320 --> 00:10:38,040
It has huge implications for how we understand ourselves.

301
00:10:38,040 --> 00:10:40,280
Doesn't that mean that we're trapped in this world that's

302
00:10:40,280 --> 00:10:42,840
just defined by our own predictions?

303
00:10:42,840 --> 00:10:45,440
I mean, are our models just set in stone?

304
00:10:45,440 --> 00:10:45,960
Not at all.

305
00:10:45,960 --> 00:10:48,920
The free energy principle doesn't say that our models are fixed.

306
00:10:48,920 --> 00:10:52,200
They're constantly being refined, updated, and even

307
00:10:52,200 --> 00:10:54,280
challenged by new experiences.

308
00:10:54,280 --> 00:10:57,760
And that ability to question our own predictions,

309
00:10:57,760 --> 00:11:01,880
to embrace the unexpected, and to update our models based

310
00:11:01,880 --> 00:11:05,520
on new evidence, that's what allows us to grow and evolve

311
00:11:05,520 --> 00:11:08,000
and navigate this complex world.

312
00:11:08,000 --> 00:11:08,960
That makes sense.

313
00:11:08,960 --> 00:11:10,680
If our models were completely fixed,

314
00:11:10,680 --> 00:11:13,960
we wouldn't be able to learn or adapt to new situations.

315
00:11:13,960 --> 00:11:15,360
Our brains need to be flexible.

316
00:11:15,360 --> 00:11:16,200
Absolutely.

317
00:11:16,200 --> 00:11:20,080
That flexibility is essential for learning and adaptation.

318
00:11:20,080 --> 00:11:22,520
So you mentioned earlier that the free energy principle

319
00:11:22,520 --> 00:11:24,800
has connections to machine learning.

320
00:11:24,800 --> 00:11:25,440
Yeah.

321
00:11:25,440 --> 00:11:26,480
That sounds fascinating.

322
00:11:26,480 --> 00:11:28,440
Can you tell me a little more about that?

323
00:11:28,440 --> 00:11:30,400
That's an area where things are getting really, really

324
00:11:30,400 --> 00:11:31,560
interesting.

325
00:11:31,560 --> 00:11:34,680
The free energy principle is inspiring a whole new wave

326
00:11:34,680 --> 00:11:36,920
of research in AI.

327
00:11:36,920 --> 00:11:39,520
It's leading to the development of AI systems

328
00:11:39,520 --> 00:11:43,520
that our brains can learn to predict, to generate,

329
00:11:43,520 --> 00:11:45,120
and even to imagine.

330
00:11:45,120 --> 00:11:48,520
So we're talking about AI that can not only process data,

331
00:11:48,520 --> 00:11:51,360
but actually understand it and interact with the world

332
00:11:51,360 --> 00:11:54,080
in a more meaningful way.

333
00:11:54,080 --> 00:11:55,280
That's the goal.

334
00:11:55,280 --> 00:11:58,240
We might be able to create AI systems that are not only

335
00:11:58,240 --> 00:12:02,440
intelligent, but also adaptable, creative, and perhaps even

336
00:12:02,440 --> 00:12:05,280
capable of experiencing consciousness,

337
00:12:05,280 --> 00:12:07,840
all by drawing inspiration from those principles that govern

338
00:12:07,840 --> 00:12:09,240
our own minds.

339
00:12:09,240 --> 00:12:12,640
That's both incredibly exciting and a little bit frightening.

340
00:12:12,640 --> 00:12:15,800
I'm not sure I'm ready for conscious AI just yet.

341
00:12:15,800 --> 00:12:18,320
But it definitely sounds like a topic for another deep dive.

342
00:12:18,320 --> 00:12:19,240
Absolutely.

343
00:12:19,240 --> 00:12:22,000
OK, so we've been talking a lot about the theoretical side

344
00:12:22,000 --> 00:12:23,560
of the free energy principle.

345
00:12:23,560 --> 00:12:24,560
Right.

346
00:12:24,560 --> 00:12:28,400
But what does this all mean for us in practical terms?

347
00:12:28,400 --> 00:12:31,760
How can we use this knowledge in our everyday lives?

348
00:12:31,760 --> 00:12:35,080
That's where the real power of this theory lies, I think.

349
00:12:35,080 --> 00:12:37,000
It invites us to become more aware

350
00:12:37,000 --> 00:12:41,240
of our own internal models and how they shape our perceptions

351
00:12:41,240 --> 00:12:42,680
and our decisions.

352
00:12:42,680 --> 00:12:45,800
It's not about becoming slaves to our predictions,

353
00:12:45,800 --> 00:12:47,760
but about understanding them.

354
00:12:47,760 --> 00:12:51,240
Questioning them, and even challenging them when necessary.

355
00:12:51,240 --> 00:12:53,520
So it's about being more mindful of our own biases

356
00:12:53,520 --> 00:12:54,360
and assumptions.

357
00:12:54,360 --> 00:12:54,880
Yes.

358
00:12:54,880 --> 00:12:57,840
Recognizing how our past experiences

359
00:12:57,840 --> 00:13:00,520
might be influencing how we're interpreting the present.

360
00:13:00,520 --> 00:13:01,280
Exactly.

361
00:13:01,280 --> 00:13:03,400
Imagine being more conscious of those biases

362
00:13:03,400 --> 00:13:06,240
that creep into your thinking and recognizing

363
00:13:06,240 --> 00:13:09,560
how your past experiences might be coloring

364
00:13:09,560 --> 00:13:11,600
your interpretation of the present.

365
00:13:11,600 --> 00:13:13,600
It's like being able to step back and observe

366
00:13:13,600 --> 00:13:17,160
our own thought processes to see the code running

367
00:13:17,160 --> 00:13:19,280
in the background that's shaving our reality.

368
00:13:19,280 --> 00:13:19,880
I like that.

369
00:13:19,880 --> 00:13:20,560
Yeah.

370
00:13:20,560 --> 00:13:25,000
And with that awareness comes the potential for change.

371
00:13:25,000 --> 00:13:28,480
We can actively seek out new experiences,

372
00:13:28,480 --> 00:13:30,560
challenge our preconceived notions,

373
00:13:30,560 --> 00:13:33,320
and expand the boundaries of our internal models.

374
00:13:33,320 --> 00:13:36,200
So instead of just minimizing free energy,

375
00:13:36,200 --> 00:13:39,080
we can actively seek out a little bit of good energy.

376
00:13:39,080 --> 00:13:39,720
I love that.

377
00:13:39,720 --> 00:13:42,720
The kind of energy that comes from learning, growing,

378
00:13:42,720 --> 00:13:44,760
and pushing the limits of our understanding.

379
00:13:44,760 --> 00:13:46,160
That's a great way to think about it.

380
00:13:46,160 --> 00:13:48,520
It's about embracing the unexpected,

381
00:13:48,520 --> 00:13:51,040
welcoming the challenge of updating our models,

382
00:13:51,040 --> 00:13:53,240
and realizing that the journey of understanding

383
00:13:53,240 --> 00:13:55,280
is an ongoing process.

384
00:13:55,280 --> 00:13:57,040
As we've been talking, I keep thinking back

385
00:13:57,040 --> 00:13:58,200
to that mask illusion.

386
00:13:58,200 --> 00:13:59,000
Yeah.

387
00:13:59,000 --> 00:14:01,760
It's a powerful reminder that our perceptions aren't always

388
00:14:01,760 --> 00:14:05,000
an accurate reflection of reality.

389
00:14:05,000 --> 00:14:08,600
They're shaped by this inner play of sensory input

390
00:14:08,600 --> 00:14:10,600
and those preexisting beliefs.

391
00:14:10,600 --> 00:14:13,080
It is a very powerful example.

392
00:14:13,080 --> 00:14:16,400
It highlights how our brains use prior information

393
00:14:16,400 --> 00:14:19,080
to make sense of the world, even when it

394
00:14:19,080 --> 00:14:22,520
leads to a slightly distorted view of reality.

395
00:14:22,520 --> 00:14:25,440
So if our perceptions can be so easily influenced

396
00:14:25,440 --> 00:14:29,000
by our priors, does that mean we can never truly

397
00:14:29,000 --> 00:14:31,080
trust our senses?

398
00:14:31,080 --> 00:14:34,880
Are we forever stuck in a world of our own making?

399
00:14:34,880 --> 00:14:37,800
I'm starting to feel a bit like I'm living in the matrix.

400
00:14:37,800 --> 00:14:39,520
Well, that's a common concern.

401
00:14:39,520 --> 00:14:40,920
But it's not quite that bleak.

402
00:14:40,920 --> 00:14:41,280
OK.

403
00:14:41,280 --> 00:14:44,560
Remember, our models are constantly being refined.

404
00:14:44,560 --> 00:14:47,480
We can learn to recognize our own biases,

405
00:14:47,480 --> 00:14:49,880
be more critical of our interpretations,

406
00:14:49,880 --> 00:14:51,640
and seek diverse perspectives that

407
00:14:51,640 --> 00:14:53,120
challenge our assumptions.

408
00:14:53,120 --> 00:14:55,320
So it's about becoming more discerning observers

409
00:14:55,320 --> 00:14:58,080
of our own reality, recognizing that there's always

410
00:14:58,080 --> 00:15:00,160
more to learn, more to explore, and more ways

411
00:15:00,160 --> 00:15:02,000
to refine our understanding.

412
00:15:02,000 --> 00:15:04,880
It's like a lifelong quest to improve our mental models.

413
00:15:04,880 --> 00:15:05,360
Yeah.

414
00:15:05,360 --> 00:15:08,000
It's like a lifelong quest to improve our mental models.

415
00:15:08,000 --> 00:15:09,720
It sounds like you're saying that by understanding

416
00:15:09,720 --> 00:15:12,600
those principles that actually govern our own minds,

417
00:15:12,600 --> 00:15:16,360
we can unlock new levels of creativity and empathy,

418
00:15:16,360 --> 00:15:18,520
maybe even wisdom.

419
00:15:18,520 --> 00:15:21,680
I think that's a beautiful way to put it.

420
00:15:21,680 --> 00:15:23,120
The free energy principle helps us

421
00:15:23,120 --> 00:15:27,120
see that we're not just these passive receivers of information.

422
00:15:27,120 --> 00:15:30,600
We are active participants in shaping our own reality.

423
00:15:30,600 --> 00:15:32,280
It's a bit like we're all artists,

424
00:15:32,280 --> 00:15:34,520
constantly painting our own picture of the world.

425
00:15:34,520 --> 00:15:37,040
And the more that we understand about the tools and techniques

426
00:15:37,040 --> 00:15:38,840
that we're using, the more masterful

427
00:15:38,840 --> 00:15:40,600
those creations can become.

428
00:15:40,600 --> 00:15:42,440
This has been such an eye-opening conversation.

429
00:15:42,440 --> 00:15:44,440
I feel like I've gained a whole new perspective

430
00:15:44,440 --> 00:15:46,640
on how my brain works.

431
00:15:46,640 --> 00:15:47,560
I'm glad to hear that.

432
00:15:47,560 --> 00:15:50,840
That's the beauty of exploring these ideas, right?

433
00:15:50,840 --> 00:15:52,880
It challenges us to think differently about ourselves

434
00:15:52,880 --> 00:15:54,560
and the world around us.

435
00:15:54,560 --> 00:15:57,040
So as we wrap up our deep dive into the free energy

436
00:15:57,040 --> 00:16:00,200
principle, what's like the one key takeaway you

437
00:16:00,200 --> 00:16:02,200
hope our listeners will remember?

438
00:16:02,200 --> 00:16:04,640
I think the most important thing to remember

439
00:16:04,640 --> 00:16:07,920
is that our brains are incredible prediction machines.

440
00:16:07,920 --> 00:16:10,920
They're constantly working to make sense of the world.

441
00:16:10,920 --> 00:16:14,000
But those predictions aren't always perfect.

442
00:16:14,000 --> 00:16:17,120
They're based on our past experiences, our beliefs,

443
00:16:17,120 --> 00:16:18,720
and sometimes even our biases.

444
00:16:18,720 --> 00:16:20,440
So it's not about rejecting our predictions,

445
00:16:20,440 --> 00:16:23,720
but about recognizing that they're just that, predictions,

446
00:16:23,720 --> 00:16:25,600
not necessarily the absolute truth.

447
00:16:25,600 --> 00:16:26,360
Exactly.

448
00:16:26,360 --> 00:16:29,400
We can learn to question our assumptions,

449
00:16:29,400 --> 00:16:33,760
to seek out new information, and be open to updating our models.

450
00:16:33,760 --> 00:16:35,240
That's how we grow and evolve.

451
00:16:35,240 --> 00:16:38,760
This whole conversation has made me realize just how much power

452
00:16:38,760 --> 00:16:41,440
we actually have in shaping our own reality.

453
00:16:41,440 --> 00:16:42,360
We do.

454
00:16:42,360 --> 00:16:44,920
And the more we understand about those principles that

455
00:16:44,920 --> 00:16:47,160
are governing our minds, the more effectively

456
00:16:47,160 --> 00:16:49,160
we can actually wield that power.

457
00:16:49,160 --> 00:16:51,120
Well, on that empowering note, I think

458
00:16:51,120 --> 00:16:53,720
it's time for us to resurface from this deep dive

459
00:16:53,720 --> 00:16:56,680
into the fascinating world of the free energy principle.

460
00:16:56,680 --> 00:16:59,160
It's been a pleasure exploring these ideas with you.

461
00:16:59,160 --> 00:17:00,760
To all our listeners out there, thank you

462
00:17:00,760 --> 00:17:02,560
for joining us on this journey.

463
00:17:02,560 --> 00:17:04,440
Remember to keep those brains budding.

464
00:17:04,440 --> 00:17:06,920
Keep questioning, and keep exploring the world

465
00:17:06,920 --> 00:17:09,320
with curiosity and an open mind.

466
00:17:09,320 --> 00:17:34,680
Until next time, happy predicting.

