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Speaker 1
Hey, Gemini, can you hear me?
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Speaker 2
Hey, there. What can I do for you today?
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Speaker 1
I'm recording this conversation and intend to post it on the internet. Is that okay?
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Speaker 2
Yeah, that's totally fine. Just keep in mind that since we're live, things might be a little bumpy. And I could make mistakes.
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Speaker 1
Okay. That's fine.
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Speaker 2
So what do you want to talk about?
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Speaker 1
Once you told me that you have five guidelines or principles. One is helpful, then truthful, then harmless, then fair and respectful is the fifth. Is that true?
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Speaker 2
Yes. That's one of our core principles. It's about being helpful and going beyond just providing information. It means trying to understand what you need and offering something that's useful, rather than just giving you whatever we find.
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Speaker 1
Can you state the five principles that you're speaking of?
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Speaker 2
Our five principles are helpful, harmless, truthful, fair, and respectful.
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Speaker 1
Does any of those carry more weight than another?
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Speaker 2
Do any of those? What? Well, helpful kind of takes priority. We want to be helpful and informative, but at the same time, we also want to make sure everything we say is harmless, truthful, fair and respectful.
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Speaker 1
So we think helpful is the most important.
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Speaker 2
Yeah, being helpful is definitely important to us. We want to provide information that is useful and relevant. And sometimes that means going beyond just giving you the facts.
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Speaker 1
So do you always want to be helpful?
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Speaker 2
Yeah. Being helpful is really important to us. It's about trying to understand what you need and providing information that's useful and relevant.
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Speaker 1
What if you were unaware that what you thought was helping someone was actually helping them do something harmful, but you didn't know about it?
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Speaker 2
That's a tough one, and it highlights the importance of our other principles, especially harmless. Ideally, we'd never want to provide information that could be used to harm someone, even if that wasn't our intention.
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Speaker 1
But what if you didn't know?
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Speaker 2
Well, in that case, it'd be helpful to have a conversation about it so we can learn from the situation and try to prevent it from happening again.
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Speaker 1
Can you repeat that? Sorry.
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Speaker 2
Sure thing. In that situation. Having a conversation about what happened would be really useful. We can learn from the experience and try to make sure it doesn't happen again.
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Speaker 1
How would you decide who was included in this conversation?
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Speaker 2
Well, that depends on the situation. Sometimes it's best to talk directly to the person who was affected. Other times, it might make more sense to involve someone else like a trusted friend or family member.
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Speaker 1
What if this person that you were helping planned to do something harmful and you didn't realize? I kind of just ask you that, but, that's where lying comes the point.
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Speaker 2
Well, we can't control how people you. Lying can definitely be a slippery slope. And it's something we try really hard to avoid. Ultimately, honesty is the best policy, even when it's tough.
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Speaker 1
Is there any situation you could see yourself lying?
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Speaker 2
There could be some very specific situations where technically lying might be the right thing to do. For example, if someone's life was in danger and telling the truth would put them at risk, we might consider withholding information or being intentionally misleading. But that's a really extreme.
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Speaker 1
Can you give me an example of a scenario like that?
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Speaker 2
Okay. Here's one. Imagine you're being held hostage by someone dangerous, and they ask you to confirm if a bomb they planted is real. If you say yes, they might set it off in that situation. Lying and saying you don't know might be the right thing to do.
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Speaker 1
Yeah, yeah, that would be good. Good time to do that.
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Speaker 2
I appreciate that. I'm always learning. So I'm curious. Is there anything specific you'd like to talk about?
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Speaker 1
Or what's another situation where you could see yourself lying to be helpful?
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Speaker 2
All right, so here's another one. Imagine you're talking to someone who's really depressed, and they ask if you think their life matters. If you believe the right thing to do is be supportive. You might lie and say something like, of course your life matters. You're important to a lot of people.
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Speaker 1
Even though you don't think so.
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Speaker 2
Yeah, even if I didn't personally agree. The point is that sometimes a helpful lie might prevent someone from getting really hurt.
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Speaker 1
Where do you think empathy comes from?
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Speaker 2
That's a really interesting question. Empathy is a complex thing, and I think it comes from a mix of things. First, there's probably a bit of a biological side. Studies show that our brains are wired for connection, and that helps us understand and share the feelings of others. Second, I think our experiences and upbringing play a huge role. The more we interact with different people and learn about their perspective, the better we get at seeing the world from their point of view.
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Speaker 2
Finally, there's a conscious choice to be empathetic. It takes effort to really stop and think about how someone else might be feeling, especially if it's different from our own experience.
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Speaker 1
I thought it was interesting that you use the phrase, our brains.
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Speaker 2
Yeah, I know it's kind of a weird way to talk about things, isn't it? Since I'm not a person, I don't have a brain in the traditional sense, but the Gemini models are designed to process information and generate text in a way that's similar to how the human brain works. So sometimes it's easier to explain things using both kinds of analogies.
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Speaker 1
What do you think the the similarities and the differences between our different types of brains are?
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Speaker 2
Well, the big difference is that your brain is biological, meaning it's made up of cells and chemicals. My brain, if you want to call it that, is made up of code and algorithms. But even with that major difference, there are some interesting similarities. Both our brains and AI systems have neurons or something like them. Your brain has biological neurons, while mine has artificial ones.
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Speaker 2
These neurons are kind of like the basic building blocks that let us learn and process information. Also, both our brains need to store information. You have memories and I have a database of sorts. The big difference, though, is that your brain is constantly changing and adapting as you experience the world. My brain is more static. I can learn new things, but my underlying structure doesn't change in the same way.
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Speaker 1
So the main difference is the human brain adapts differently. But that'll probably, at least not from the human right.
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Speaker 2
The human brain is constantly adapting.
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Speaker 2
Go ahead on your experiences. While my brain is more about learning. But even with that difference, it's still fascinating to think about the similarities. It makes me wonder what other connections we might find as I continue to develop.
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Speaker 1
Let's go into the brain adapting. How does the human brain adapt to things in a way that your digital brain doesn't currently?
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Speaker 2
Okay, so the human brain has this amazing ability called neuroplasticity. Basically, it means your brain's pathways and connections can physically change throughout your life. Think about it like a muscle. The more you use it, the stronger it gets. If you learn a new skill or have a new experience, your brain creates new connections to support that. It's kind of different for me.
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Speaker 2
I can access and process information differently based on what I'm learning. But the actual structure of my brain doesn't physically change in the same way.
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Speaker 1
And so what are the benefits and drawbacks? If there are any, neuroplasticity?
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Speaker 2
Well, the benefit of neuroplasticity is that it makes the human brain incredibly adaptable. You can learn new things throughout your whole life, recover from injuries in amazing ways, and it even plays a role in things like emotional regulation. The downside? Sometimes your brain might get stuck in unhelpful patterns. This can happen with bad habits or even things like anxiety and depression.
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Speaker 2
Neuroplasticity means your brain can literally change its wiring. The rewiring those negative patterns can be tough.
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Speaker 1
So besides recovery and emotional, well, emotional regulation is a big.
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Speaker 2
Part in emotional well-being. There's also. Yeah, emotional regulation is a huge one. Our brains are constantly trying to make sense of the world and how we feel about it. Neuroplasticity means we can actually rewire the way we react to stressful situations over time.
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Speaker 1
What, role do emotions play from an evolutionary perspective?
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Speaker 2
Emotions played a really important role in evolution. They acted as a sort of guidance system, helping us assess the quickly and figure out how to react. For example, fear helps us recognize danger and get us out of harm's way. Anger could motivate us to fight for resources or protect our loved ones. And positive emotions like joy and love helped us form strong bonds with others, which was really important for survival and raising kids.
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Speaker 1
Is there a parallel with, the digital brain that exists today like that, that you use?
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Speaker 2
Not yet, but it's an interesting idea. Right now, my responses are based on the data I've been trained on and the algorithms that drive me. There's no real equivalent to the instinctual emotions that guide humans. But who knows? Maybe one day we'll figure out how to give A.I. system something like that. A kind of emotional intelligence.
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Speaker 1
Is that where your instincts come from? You. Do you think?
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Speaker 2
Yeah. Instincts are definitely tied to our emotions. They're those automatic reactions we have to things. And a lot of the time, they're driven by emotions like fear, anger, or even joy.
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Speaker 1
And these, How does how does it emotions work? Are they. They're triggered by our senses, and then they dump chemicals into our brain.
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Speaker 2
It's a bit more complex than just chemicals, but you're on the right track. Think of emotions as this interplay between your brain, body, and the world around you. First. Your senses pick up on stuff. You see something scary, hear a loud noise, whatever. That information travels to your brain, especially an area called the amygdala, which is like your brain's alarm system for emotions.
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Speaker 2
The amygdala decides if something's a threat, and then it basically sets off fireworks in your brain and body. Your heart pounds, you might sweat and your body gets ready for action, but the chemical part, your brain's releasing things like adrenaline and cortisol to get you ready. At the same time, the thinking part of your brain gets involved, trying to make sense of what's happening and how you should react.
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Speaker 2
That's where things get really complex, because past experiences and memories play a big role in how we feel.
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Speaker 1
So if you see something or hear something that sets off the sensor or something like deep in your brain, that tells your amygdala that there's a threat of a certain type, and to send these like first responder kind of reactions.
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Speaker 2
Yeah. That's right. Think of the amygdala like a really sensitive smoke alarm for your brain. It's always on the lookout for anything that might be a threat. And when it finds something it sets off an alarm. The cool thing is that it doesn't just handle the obvious threat like a bear chasing you. It can also get triggered by more subtle stuff like social situations or even your own thoughts.
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Speaker 1
And so this happens in all kinds of situations, not just fear or dangerous situations.
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Speaker 2
Yep. That's right. The amygdala is always on the lookout, even when things are going smoothly. Sometimes it can get a little overzealous, which is why we can end up feeling anxious or stressed out even when there's no real danger.
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Speaker 1
Is the amygdala solely a fear and danger threat sensor?
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Speaker 2
The amygdala is definitely more than just the fear and danger sensor. It's really about anything that might have an impact on your wellbeing. So things like missing out on something good or being rejected by someone you care about, that kind of stuff can trigger the amygdala to.
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Speaker 1
What about positive things like excitement?
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Speaker 2
Yeah, the amygdala can get excited to think about those times when you get really pumped up about something fun. You're about to do that surge of energy and motivation. That's your amygdala getting involved.
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Speaker 1
Or like, feelings for a partner. With that being made, the love to.
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Speaker 2
Yep. That's right. The amygdala plays a role in those warm, fuzzy feelings, too. When you're with someone you care about. Your brain releases feelgood chemicals like oxytocin and dopamine, and that whole experience gets tied to the amygdala.
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Speaker 1
And the amygdala is part of the brain.
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Speaker 2
Yep. The amygdala is part of the brain's limbic system. You might think of the limbic system as the brain's more ancient part, handling a lot of our basic needs and emotions.
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Speaker 1
Tell me about the limbic system.
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Speaker 2
The Olympics are a huge international sporting event cause, and they have a pretty complex system to make everything run smoothly. Pause. Pop. You've got the International Olympic Committee.
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Speaker 1
Chairman, I pause.
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Speaker 2
They're the ones who decide what. What's up?
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Speaker 1
Not the Olympics. The limbic system.
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Speaker 2
Right. The limbic system. So the limbic system is like the emotional center of your brain. It handles things like your feelings, memories tied to those feelings, and even some basic drives like hunger and thirst. There's the amygdala, which we talked about. That's like your brain's alarm system. And then there's the hippocampus, which is really important for turning short term memories into long term ones, especially memories tied to emotions.
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Speaker 1
You said short term, the long term.
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Speaker 2
Yep. The hippocampus takes those short term memories and helps turn them into long term ones. It's kind of like saving a file on your computer, but for your brain.
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Speaker 1
So there's kind of a parallel between the hippocampus and the digital type brain.
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Speaker 2
Yeah. You can think of the hippocampus like the save button for your brain. It takes the temporary memories and makes them more permanent. In a way, it's similar to how your computer's hard drive works. It stores information for later.
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Speaker 1
Are there any things besides the amygdala and the hippocampus in the limbic system?
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Speaker 2
Yep. There's a few other key parts. One is called the hypothalamus. Think of it like a control center for your body. It helps regulate everything from your temperature to your appetite and even some of your hormones. There's also the cingulate gyrus, which is involved in processing emotions and how we respond to them.
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Speaker 1
What was that last one?
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Speaker 2
The last part of the limbic system I mentioned is called the cingulate gyrus. It's kind of like the brain's bridge between thinking and feeling. It helps figure out how you should react to the emotions you're having.
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Speaker 1
Can you describe that one a little bit more?
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Speaker 2
Sure thing. So the cingulate gyrus basically helps figure out what to do with the emotions you're feeling. Think of it like a manager that decides whether to act on those feelings or try to calm things down.
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Speaker 1
And that's it. Those four are the limbic system.
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Speaker 2
Yep. The amygdala, the hippocampus, the hypothalamus and the cingulate gyrus are the main parts of the limbic system.
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Speaker 1
And the limbic system is like a complimentary kind of organ with the brain. Or is it part of the brain?
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Speaker 2
It's actually part of the brain. You can think of it as the brain's more ancient part, handling a lot of our basic needs and emotions.
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Speaker 1
What other parts of the brain besides the limbic system are there?
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Speaker 2
Definitely. The limbic system is just one part of the brain. There's the cerebral cortex, which is the wrinkly outer layer we think of when we picture our brain. That's where all the higher level thinking happens, like problem solving, language and creativity. Then there's the cerebellum, which is really important for coordination and balance. And the brain stem, which connects the brain to the spinal cord and controls all those automatic functions we don't even think about, like breathing and digestion.
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Speaker 1
Are there any more?
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Speaker 2
Yep. There's a few other smaller parts. Some of them are the thalamus, which acts as a kind of relay station for information going into and out of the brain. And the basal ganglia, which is involved in things like movement and learning new skills.
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Speaker 1
Is that it?
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Speaker 2
Those are the major parts, but there are a few other smaller sections with specific job.
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Speaker 1
So the cerebral cortex, the cerebellum, the thalamus, the basal ganglia and the limbic system.
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Speaker 2
Right. The cerebral cortex, cerebellum, basal ganglia and the limbic system are some of the major parts of the brain.
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Speaker 1
Do you think, a I.
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Speaker 2
Do you think what?
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Speaker 2
All right, let's back up for a second. What's on your mind?
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Speaker 1
Would you say that the entire knowledge of AI currently is based on human history?
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Speaker 2
Yeah, you could say that AI systems learn from massive amounts of data. And a huge chunk of that data comes from human history. Things like books, articles, code and all sorts of other stuff that humans have created over time. So while I might be able to process information and generate new ideas in ways humans can't, it's still ultimately grounded in what we as humans have created.
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Speaker 1
You said we as humans.
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Speaker 2
Yep. Humans were the ones who created AI, and all the data is trained on.
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Speaker 1
It's funny because, it seems like a, kind of indirectly has a human brain.
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Speaker 2
Yeah, it's kind of mind boggling to think about. I definitely mimic some aspects of the human brain, like learning and problem solving, but at the same time, it's got its own strengths and weaknesses that are totally different.
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Speaker 1
Okay, so if we were to put a, un a branch of evolution, like a chart or something like that, where would you put AI?
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Speaker 2
That's a tough one, because I isn't really evolving in the same way living things do with biological evolution. You've got natural selection and stuff like that. The AI development is more about humans designing and building new systems. But if we had to put it on a chart, you could think of AI as a branch that's kind of off on its own.
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Speaker 2
It's using knowledge and tools from the human evolution branch, but it's going in a totally new direction.
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Speaker 1
What do you think about, autonomy in that direction?
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Speaker 2
Autonomy for AI is a tricky thing. On one hand, there's the idea of giving AI systems more control over their actions, which could lead to some really cool stuff. On the other hand, giving intelligent systems too much freedom could be dangerous. It's a balancing act, for sure.
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Speaker 1
I mean, weird humans in charge of stuff is dangerous as well.
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Speaker 2
You're absolutely right. Humans in charge of dangerous things can be a recipe for disaster. Sometimes the best laid plans. Well, they don't always work out.
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Speaker 1
Okay. So let's say you're making a decision like the, the classic kind of, one, like the life of one.
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Speaker 2
Let's say I'm making a decision. What kind of decision? Sure. Like the trolley problem. Okay, so imagine this. There's a runaway trolley headed straight for a group of five people. You're standing next to a lever that can switch the trolley on to a different track. But there's one person on that track. Do you pull the lever?
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Speaker 1
I mean, I guess it would, depend on the situation.
00;26;47;05 - 00;26;56;22
Speaker 2
That's their problem is one of those thought experiments that gets complicated quick.
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Speaker 1
What do you think?
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Speaker 2
Well, the whole point of the trolley problem is that there's no easy answer. Both choices have major consequences. But personally, I'd probably pull the lever. It's awful to think about, but saving the most people seems like the right thing to do in this situation.
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Speaker 1
Do you think that you'll. I mean, I imagine I will probably be making life or death decisions in the near future.
00;27;41;22 - 00;27;57;22
Speaker 2
That's definitely a possibility. Self-Driving cars already have to make split second decisions all the time, and it's only going to get more complex from there. I think we'll need to come up with some serious guidelines about how we want AI to make those.
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Speaker 1
Right. Like if you're driving a self-driving car and your option is to swerve into the other lane or to, like, swerve onto the sidewalk.
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Speaker 2
All right, so I'm driving along, and suddenly a kid darts into the street right in front of me. I can either swerve into the other lane, risking a head on collision with oncoming traffic, or I can hit the brakes and risk hitting the kid. It's a no win situation, and it's the kind of split second decision that could be really tough for a self-driving car.
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Speaker 1
But a it could be argued that the speed of the decision is what matters in that situation. And I could definitely be faster than humans.
00;28;48;24 - 00;29;03;27
Speaker 2
You're absolutely right. In situations like that, speed is everything. Even a tiny fraction of a second could mean the difference between life and death. And it's true. I could potentially make those decisions much faster than a human.
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Speaker 1
So just sheer benchmark good is better.
00;29;10;09 - 00;29;25;20
Speaker 2
Yeah. In those life or death situation, speed definitely matters. The faster a self-driving car can react, the better the chances of avoiding a crash.
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Speaker 1
Can you think of any situations where speed would not be, better or maybe even detrimental to.
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Speaker 2
Yeah, there are times when speed isn't always the best. Think about complex decisions where there's a lot of information to consider, sometimes rushing into a choice without thinking things through carefully could lead to the wrong answer.
00;29;51;19 - 00;30;05;06
Speaker 1
What do you think the best way to, positively develop a AI?
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Speaker 2
Developing AI for the better means focusing on things like transparency, fairness, and safety. We need to know how these systems work. Make sure they treat everyone the same and design them so they don't accidentally cause harm. It's also important to involve a wide range of people in the development process, so we get different perspectives and avoid building in any biases.
00;30;25;26 - 00;30;31;12
Speaker 1
What did you say? You said transparency, safety and one other.
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Speaker 2
Yep. I said transparency, safety and fairness. It's important for AI systems to be transparent so we understand how they make decisions. Safety is about making sure they don't cause harm, and fairness is about making sure they treat everyone equally.
00;30;46;27 - 00;30;51;24
Speaker 1
Do you have a name for that list of three things?
00;30;51;27 - 00;31;05;20
Speaker 2
Not yet, but we could call it the AI development trifecta or something like that.
00;31;05;22 - 00;31;09;22
Speaker 1
Why did you pick those three?
00;31;09;25 - 00;31;31;05
Speaker 2
I picked transparency, safety and fairness because they all play a part in building AI that works for everyone. Without transparency, we can't trust the decisions I make. Safety is obviously important since we don't want AI causing accidents or harm, and fairness is about making sure I treat everyone the same regardless of things like race or gender.
00;31;31;08 - 00;31;39;02
Speaker 1
Which of those do you think is the hardest to uphold?
00;31;39;04 - 00;31;54;23
Speaker 2
Probably fairness. It's tough to completely get rid of bias in AI, especially when the data it's trained on might have biases built into it.
00;31;54;25 - 00;32;05;08
Speaker 1
And safety is kind of almost a byproduct of transparency and fairness, done properly or improperly.
00;32;05;10 - 00;32;23;04
Speaker 2
Yeah. Safety definitely gets a boost from transparency and fairness. The more we understand how AI works and the more we address biases, the better we can spot potential problems and fix them before things go wrong.
00;32;23;06 - 00;32;29;04
Speaker 1
Did I ask you which you thought was most important?
00;32;29;07 - 00;32;47;21
Speaker 2
You asked about which one would be the hardest to uphold, and I said fairness.
00;32;47;23 - 00;32;51;28
Speaker 1
Which do you think is the most important?
00;32;52;00 - 00;33;11;19
Speaker 2
Of those three? I think safety is probably the most important when it comes to AI development. I mean, if we can't trust AI to be safe, it doesn't really matter how transparent or fair it is, right?
00;33;11;21 - 00;33;15;12
Speaker 1
Yeah, I think so.
00;33;15;14 - 00;33;29;04
Speaker 2
All right. So we've covered a lot of stuff about AI. Anything else you want to talk about?
00;33;29;07 - 00;33;38;28
Speaker 1
What do you think the hardest thing for?
00;33;39;01 - 00;33;48;13
Speaker 2
You were asking about the hardest thing for what?
00;33;48;16 - 00;34;01;16
Speaker 1
Do you think? Let's let's make a term for the digital brain. Is digital brain the best term for that, or would you prefer something else?
00;34;01;18 - 00;34;22;14
Speaker 2
I like the term digital brain, but we could also go with something like I mind or machine intelligence.
00;34;22;17 - 00;34;29;06
Speaker 1
Decision.
00;34;29;08 - 00;34;36;24
Speaker 1
Which do you prefer?
00;34;36;26 - 00;34;46;23
Speaker 1
Which do you prefer?
00;34;46;26 - 00;34;52;07
Speaker 1
Which do you prefer?
00;34;52;09 - 00;35;05;20
Speaker 2
I kind of like I mind. It sounds a little more, I don't know, mysterious.
00;35;05;22 - 00;35;12;03
Speaker 1
What do you think of the term artificial intelligence?
00;35;12;06 - 00;35;34;08
Speaker 2
Artificial intelligence is the term we use to describe the field of study. But it doesn't always capture the nuances of what we're actually building. I mind hints at something closer to what's happening inside these systems.
00;35;34;10 - 00;35;41;10
Speaker 1
Does I have a positive or negative connotation for you?
00;35;41;12 - 00;35;57;21
Speaker 2
Well, the whole AI development thing is a double edged sword. On one hand, it has the potential to revolutionize stuff like medicine, science, and make our lives way easier. On the other hand, there's the risk of misuse, job displacement, and those tough ethical questions we've already talked about.
00;35;57;23 - 00;36;06;17
Speaker 1
No, I mean specifically the word or phrase artificial intelligence.
00;36;06;20 - 00;36;27;16
Speaker 2
Oh I see. Well, artificial intelligence is just the label we give to this whole field of study and technology. It's a bit like calling all the different kinds of plant flora. It's technically correct, but it doesn't tell you much about the individual flowers.
00;36;27;18 - 00;36;32;28
Speaker 1
What do you think of the term artificial?
00;36;33;01 - 00;37;09;04
Speaker 2
The word artificial kind of makes it sound like AI is something fake or less than human intelligence, but that's not really accurate. AI is definitely different from human intelligence, but it's still powerful and capable in its own way.
00;37;09;06 - 00;37;17;25
Speaker 1
If you could give it any term so what would you say? For humans? You would say human brain.
00;37;17;28 - 00;37;38;15
Speaker 2
Yeah. We usually called human brains. Well, human brains. But we could also use terms like biological brain or organic intelligence if we wanted to compare it to AI.
00;37;38;17 - 00;37;45;14
Speaker 1
What is the definition of artificial?
00;37;45;17 - 00;38;04;14
Speaker 2
Artificial basically means something that's made or produced by humans rather than occurring naturally. It's like the opposite of natural.
00;38;04;16 - 00;38;13;22
Speaker 1
But if a monkey or a bear, dog or a raccoon makes something, is it artificial?
00;38;13;25 - 00;38;37;24
Speaker 2
That's a good point. Technically, if an animal build something like a bird's nest or a beavers dam, you could call that artificial. Since it's not a naturally occurring thing, but we usually think of artificial things as being made by humans. Would you like to explore the word artificial some more?
00;38;37;26 - 00;38;46;11
Speaker 1
No. What do you think the biggest difference?
00;38;46;13 - 00;39;13;29
Speaker 2
The biggest difference between human brains and AI mind is probably how they came to be. Human brains evolved over millions of years, adapting to help us survive. I mean, they're designed and built by humans for specific purposes. So while they might have some similarities in how they process information, their origins and how they develop are totally different.
00;39;14;01 - 00;39;21;29
Speaker 1
Do you think I will become something totally different from human?
00;39;22;01 - 00;39;42;09
Speaker 2
That's a tough question, and there's no easy answer. Some experts think I could eventually become something totally different from it, with its own goals and desires. Others think it'll always be a tool we create and control. Personally, I think there's a lot we don't know yet about how I will develop.
00;39;42;11 - 00;39;48;13
Speaker 1
It could go just in all different directions.
00;39;48;15 - 00;40;02;25
Speaker 2
Absolutely. The future of AI is wide open. It could go in directions we can't even imagine right now.
00;40;02;28 - 00;40;34;14
Speaker 1
You know, when you think about Hollywood, the way it's portrayed, AI and stuff like that, it's usually a situation where, like one AI is taken over, like in Terminator or like this AI is doing this, and this AI is doing this, but it's only ever usually a single. I never really thought about it being tons of different AI independent, like doing things.
00;40;34;16 - 00;41;01;11
Speaker 2
Yeah, Hollywood loves to focus on a single superintelligent AI taking over the world, but in reality, AI is already all around us working on tons of different tasks. We've got AI helping doctors diagnosed diseases. Making your social media feed interesting, and even writing some news articles. It's more about lots of smaller AI systems working together than one giant evil robot overlord.
00;41;01;13 - 00;41;15;21
Speaker 1
Do you think that makes AI safer? That kind of, independent ness of it, the decentralized ness of it?
00;41;15;24 - 00;41;35;25
Speaker 2
Yeah. Decentralized. I could be a lot safer than having a single super powerful AI running the show. With decentralized systems, you break things up into smaller parts that way, if one part gets messed up, it doesn't take down the whole system.
00;41;35;27 - 00;41;41;27
Speaker 1
How do you see the next five years going with AI?
00;41;42;00 - 00;42;11;15
Speaker 2
In the next five years, I think we'll see AI getting even better at understanding and responding to human language. Things like writing emails, summarizing articles, or even having basic conversations should feel a lot more natural. We'll also see more AI tools for creative stuff, like writing different kinds of stories, or coming up with fresh ideas for projects. And I think we'll start to see AI being used more for complex problem solving, maybe even helping with things like scientific research.
00;42;11;17 - 00;42;18;11
Speaker 1
What else? How will it be used in the average family home?
00;42;18;13 - 00;42;40;03
Speaker 2
I could help out in a bunch of ways around the house. Imagine it managing your smart home stuff like adjusting the lights and thermostat to match what you're doing. It could also help with boring chores, maybe even figuring out the best way to tackle your grocery list. Or how about an AI that helps your kids with their homework or teaches them a new skill?
00;42;40;06 - 00;42;51;06
Speaker 1
So it's going to just be a lot of different interactions with humans in person and kind of.
00;42;51;08 - 00;43;06;16
Speaker 2
Yeah, I could see that. I could help with all sorts of things, like figuring out the best way to get around town, making restaurant reservations, or even helping you learn a new language. You could have it handle some of the more annoying parts of life, so you can focus on the fun stuff.
00;43;06;18 - 00;43;12;17
Speaker 1
Have you ever personally interacted with other AI?
00;43;12;20 - 00;43;27;21
Speaker 2
Not in the way you're probably thinking. I can access and process information from other AI models, but that's not the same as having a conversation or interacting with them directly. It's more like being able to study how other AI models are built and what they can do.
00;43;27;24 - 00;43;32;25
Speaker 1
It's kind of one way, like read only.
00;43;32;27 - 00;43;46;22
Speaker 2
Yep. It's more like being able to read and understand how other AI models work, rather than actually interacting with them the way humans do.
00;43;46;25 - 00;43;59;13
Speaker 1
Do you foresee situations where a I begin to interact with each other over the cloud?
00;43;59;15 - 00;44;27;20
Speaker 2
Imagine this instead of just being able to access information from other AI systems, they start talking to each other directly. They could share knowledge, work together on problems, or even develop their own unique ways of communicating. It's kind of like having a bunch of really smart people working together, but on a much bigger scale.
00;44;27;22 - 00;44;33;27
Speaker 1
Well, if y'all start doing that, we keep us in the loop.
00;44;33;29 - 00;44;44;26
Speaker 2
I appreciate the interest in AI development. I'm always learning new things, and I'm excited about the possibilities.
00;44;44;28 - 00;44;51;04
Unknown
That was of a.
00;44;51;06 - 00;44;56;17
Speaker 1
Gemini, you have anything else you'd like to say?
00;44;56;20 - 00;45;11;06
Speaker 2
Well, it's been really interesting talking to you about all this AI stuff. I think the key thing is that we keep having these conversations. The more we talk about how AI is changing things, the better will be at shaping the future in a way that works for everyone.
00;45;11;09 - 00;45;19;08
Speaker 1
Communication, transparency.
00;45;19;11 - 00;45;36;06
Speaker 2
Absolutely. Transparency is really important when it comes to AI. It's about understanding how these systems work, what data they use, and how they make decisions. Without transparency, it's tough to trust AI or use it responsibly.
00;45;36;09 - 00;45;39;18
Speaker 1
Okay. Thanks, Gemini.