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YouTube 수집: 2026-08-28 게시: 2025-11-06
https://youtu.be/dwux7np5soc

내용

[subtitle-meta] lang=en auto=True Are you running an e-commerce business by any chance ? Ah, in that case, you will really relate to this, but the time spent responding to customer inquiries throughout the day is probably quite substantial. Right? But what if 99% of customer service tasks could be automated? What would you think ? Today, let's take a proper look at that innovative method . But actually, not all customer situations are equally difficult . Now, if you take a look at this chart here, it clearly reflects reality. About 70% of the customers ask, " When will it be delivered?" These are simple questions that come up all the time . The real problem is that the remaining 30%—complex questions like whether there is a problem with the product—are right here. This is actually a real headache that most companies are racking their brains over every day. So what came out of that? It was a rule-based chatbot. These chatbots answered only specific questions like the one on the left, and they handled the 70% of the simple tasks quite well. It was successful. But the problem is the right side. As for that complex 30% of problems that really drain the agents' time and energy. Ah, this remained exactly as it was . So, it means that none of the really important headaches have been resolved . Now, you might be thinking this, right? Uh, then could n't we just attach a generative AI like the trendy GPT? yes . I thought so too. But even if this isn't as simple a problem as I thought . Rather, it carried a really big, perhaps even fatal, risk. What kind of risk, you ask? Let's take a look right away . This is exactly it. This slide shows the reason in a very stark way . If you just apply general AI to CS, there could be three problems that are practically catastrophic . First, they just keep giving nonsensical answers that are completely different from our company's official information . Second, and this is the really scary part, they just make up plausible facts that don't even exist . This is called a hallucinatory phenomenon. There are even many cases where one cannot find information that is clearly available . Think about it . If a single wrong answer could send our brand credibility plummeting in an instant, oh my, just imagining it is terrifying. A single remark from Neoldam, who experienced this firsthand, perfectly captures the core of the problem. Listen to this . If the AI ​​causes hallucinations in CS, chaos ensues immediately. Wow, is there a more accurate way to put it? Isn't this some kind of theory? It is a truly painful experience gained through bloodshed in the actual field . Wait, then is there no way? Is there no way to borrow just the AI's smart head while completely avoiding this extremely dangerous hallucination ? The answer lay precisely in hybrid AI . The core of Chaebon Now AI is. This is exactly it. Reliability and intelligence. That is how you manage to catch these two rabbits at once . Now, at the heart of that secret lies this hybrid AI engine. To put it simply, you can think of this as an AI with three brains . The first brain strictly processes fixed scenarios, the second brain speaks only the correct answers learned through machine learning, and the final, third brain is that smart, advanced AI . It intelligently combines these three components according to the situation to find the most accurate answer by any means necessary. So, it is a very clever method that drastically reduces risk and maximizes accuracy . If you look at this picture, it is really easy to understand how this works. There is a specific order in which ChaebonNow AI selects the answer. Okay, Step 1. Where is my order? The main scenario unconditionally handles such very formalized questions. There's no way to make a mistake, right? Next, please let me know the refund policy for Step 2. The important content is that getting even a single letter wrong would be a big problem . It simply displays the ML answer that has been perfectly written in advance . I absolutely never [snor] leave it to AI . And then, the really complex and ambiguous question that went through all of this. For example, how should I clean this coffee machine ? It is precisely at that moment, in the final third stage, that the real AI steps in to answer the same question. Safety, and more safety. Reliability is the top priority . Isn't it really smart? Let me give you an example . Where is my order ? What is this? Yes, that is the most basic question. This is unconditionally handled by Step 1, the safest main scenario. There are zero mistakes. Okay , then please let me know the refund policy. How about this? You know, if you get even one word wrong in this, it'll be a really big problem. So, you shouldn't give AI a chance to exercise its imagination . It delivers a perfectly accurate ML answer entered in advance as if simply copying and pasting it . The probability of error converges to 0 . And this is exactly when a somewhat subtle and complex question comes in, one that has no fixed answer, such as, "Can this volume support pad be attached and detached?" Finally, our hero, Level 3 Advanced AI, steps up and shows off its skills. Now, but is just being accurate enough? No. Customers want something natural, like having a conversation with a real person . ChabonNow AI solved this problem with a very amazing feature called threads. Let's take a look at what this is. Now, let's try to imagine a real conversation scenario. A customer comes in and asks a question, kind of tossed out. What types of shaving do you have? If I were a normal dummy, I would have just shown the product list and finished here . But ChaebonNow AI is different. It's a cut above. Ask back right away. Are you perhaps asking about a specific product ? Like this. First, you start by firmly establishing a topic for the conversation . This is the beginning of the thread function . Then the customer answers, right? yes . Wise Shaver. Now, right at this moment, the context of the conversation is perfectly fixed by this Wise Shaver . From now on, the AI understands every question as, "Ah, this is a question about Wise Shavo." So, from the customer's perspective, how many razor blades are there? How do I wash it? In this way, you can have a much more natural and comfortable conversation . This isn't the end. Aren't you even curious about this ? While doing so, it even intelligently recommends related questions. It takes care of even the parts the customer hadn't even thought of, guiding them to solve problems much faster. Isn't that really thoughtful? Well, I think you have heard enough theoretical explanations so far. But what do you think is the most important thing? So, does this really work? Is n't it this? The voices of those who have actually used it are more important than mere words. Now, let's take a proper look at what kind of experiences the early adopters actually had . Wow, the numbers are huge right from the start. It's a place called Berish. After introducing the existing Chaebun Now, simple CS patterns decreased by a whopping 62.1% . 62.1%. 1%. This is a number that instantly proves whether this platform is effective or not . Now, this time it's Y's hook, and this one gives a really important head start. Listen to this . We announced that we would reduce inquiries via the web by 30%, but it turned out that inquiries coming through KakaoTalk were three times worse. The potential here is enormous. What does that mean? That's right . Especially in the Korean market. Ultimately, the company that catches KakaoTalk is the real winner. It really captures the essence of the game . This is Naldam's evaluation again. This is a story about the development philosophy of Chaebonnahu AI itself. I fully agree with the direction of development. If hallucinations break out in CS, it will just be total chaos. However, this system prevents that at the source . In other words, it has proven in the field that the direction of creating a safe and trustworthy AI, rather than just an AI that is blindly smart, was correct . There are also reviews showing that this does not simply reduce the customer's face. This is the story of My Pippen . This shows how the roles of our employees are changing. It is really the best for handling special questions unique to our shopping mall. Thanks to this, our agents are now freed from giving the same answers every day and can focus on their role as knowledge managers to train this AI to be smarter. Wow, this isn't just about work efficiency; it's an innovation in the way we work itself. yes . So, if I were to summarize the core of today's story in just one sentence, it would be this. To completely strip away the grandeur and precarious risks, and safely borrow only the powerful force of AI. This very hybrid system is the true value that ChaebonNow AI aims to offer you . Well, that is all the story I have prepared for today . But this isn't the end; perhaps it could be a new beginning for your business ? Finally, I will wrap up by posing this one question to you all . If 99% of that tedious, repetitive customer service work were to truly disappear, what greater value would you create with the precious time and energy you saved?
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Are <00:00:00.339><c>you </c><00:00:00.518><c>running </c><00:00:00.697><c>an </c><00:00:00.876><c>e-commerce </c><00:00:01.055><c>business </c><00:00:01.234><c>by </c><00:00:01.413><c>any </c><00:00:01.592><c>chance</c>

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Are you running an e-commerce business by any chance
 

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Are you running an e-commerce business by any chance
?  <00:00:01.999><c>Ah, </c><00:00:02.198><c>in </c><00:00:02.397><c>that </c><00:00:02.596><c>case, </c><00:00:02.795><c>you </c><00:00:02.994><c>will </c><00:00:03.193><c>really</c>

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?  Ah, in that case, you will really
 

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?  Ah, in that case, you will really
relate <00:00:03.999><c>to </c><00:00:04.438><c>this, </c><00:00:04.877><c>but </c><00:00:05.316><c>the</c>

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relate to this, but the
 

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relate to this, but the
time <00:00:05.872><c>spent </c><00:00:06.024><c>responding </c><00:00:06.176><c>to </c><00:00:06.328><c>customer </c><00:00:06.480><c>inquiries </c><00:00:06.632><c>throughout </c><00:00:06.784><c>the </c><00:00:06.936><c>day </c><00:00:07.088><c>is </c><00:00:07.240><c>probably </c><00:00:07.392><c>quite</c>

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time spent responding to customer inquiries throughout the day is probably quite
 

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time spent responding to customer inquiries throughout the day is probably quite
substantial.  <00:00:08.439><c>Right?  </c><00:00:09.119><c>But </c><00:00:09.799><c>what</c>

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substantial.  Right?  But what
 

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substantial.  Right?  But what
if <00:00:10.302><c>99% </c><00:00:10.564><c>of </c><00:00:10.826><c>customer </c><00:00:11.088><c>service </c><00:00:11.350><c>tasks </c><00:00:11.612><c>could </c><00:00:11.874><c>be</c>

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if 99% of customer service tasks could be
 

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if 99% of customer service tasks could be
automated? <00:00:13.740><c>What </c><00:00:14.200><c>would </c><00:00:14.660><c>you </c><00:00:15.120><c>think</c>

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automated? What would you think
 

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automated? What would you think
?  <00:00:15.620><c>Today, </c><00:00:16.000><c>let's </c><00:00:16.380><c>take </c><00:00:16.760><c>a</c>

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?  Today, let's take a
 

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?  Today, let's take a
proper <00:00:17.664><c>look </c><00:00:17.928><c>at </c><00:00:18.192><c>that </c><00:00:18.456><c>innovative </c><00:00:18.720><c>method</c>

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proper look at that innovative method
 

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proper look at that innovative method
.  <00:00:19.799><c>But </c><00:00:20.358><c>actually, </c><00:00:20.917><c>not </c><00:00:21.476><c>all </c><00:00:22.035><c>customer</c>

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.  But actually, not all customer
 

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.  But actually, not all customer
situations <00:00:22.693><c>are </c><00:00:23.066><c>equally </c><00:00:23.439><c>difficult</c>

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situations are equally difficult
 

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situations are equally difficult
.  <00:00:24.412><c>Now, </c><00:00:25.225><c>if </c><00:00:26.038><c>you</c>

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.  Now, if you
 

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.  Now, if you
take <00:00:26.471><c>a </c><00:00:26.663><c>look </c><00:00:26.855><c>at </c><00:00:27.047><c>this </c><00:00:27.239><c>chart </c><00:00:27.431><c>here, </c><00:00:27.623><c>it </c><00:00:27.815><c>clearly </c><00:00:28.007><c>reflects </c><00:00:28.199><c>reality.</c>

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take a look at this chart here, it clearly reflects reality.
 

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take a look at this chart here, it clearly reflects reality.
About <00:00:28.972><c>70% </c><00:00:29.425><c>of </c><00:00:29.878><c>the </c><00:00:30.331><c>customers </c><00:00:30.784><c>ask, </c><00:00:31.237><c>"</c>

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About 70% of the customers ask, "
 

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About 70% of the customers ask, "
When <00:00:31.601><c>will </c><00:00:31.763><c>it </c><00:00:31.925><c>be </c><00:00:32.087><c>delivered?"  </c><00:00:32.249><c>These </c><00:00:32.411><c>are </c><00:00:32.573><c>simple </c><00:00:32.735><c>questions </c><00:00:32.897><c>that </c><00:00:33.059><c>come </c><00:00:33.221><c>up </c><00:00:33.383><c>all </c><00:00:33.545><c>the </c><00:00:33.707><c>time</c>

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When will it be delivered?"  These are simple questions that come up all the time
 

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When will it be delivered?"  These are simple questions that come up all the time
.  <00:00:34.340><c>The </c><00:00:34.680><c>real </c><00:00:35.020><c>problem </c><00:00:35.360><c>is </c><00:00:35.700><c>that </c><00:00:36.040><c>the</c>

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.  The real problem is that the
 

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.  The real problem is that the
remaining <00:00:37.146><c>30%—complex </c><00:00:37.292><c>questions </c><00:00:37.438><c>like </c><00:00:37.584><c>whether </c><00:00:37.730><c>there </c><00:00:37.876><c>is </c><00:00:38.022><c>a </c><00:00:38.168><c>problem </c><00:00:38.314><c>with </c><00:00:38.460><c>the </c><00:00:38.606><c>product—are </c><00:00:38.752><c>right</c>

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remaining 30%—complex questions like whether there is a problem with the product—are right
 

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here.  <00:00:42.160><c>This </c><00:00:42.640><c>is </c><00:00:43.120><c>actually </c><00:00:43.600><c>a</c>

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here.  This is actually a
 

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real <00:00:46.510><c>headache </c><00:00:46.700><c>that </c><00:00:46.890><c>most </c><00:00:47.080><c>companies </c><00:00:47.270><c>are </c><00:00:47.460><c>racking </c><00:00:47.650><c>their </c><00:00:47.840><c>brains </c><00:00:48.030><c>over </c><00:00:48.220><c>every </c><00:00:48.410><c>day.  </c><00:00:48.600><c>So</c>

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real headache that most companies are racking their brains over every day.  So
 

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real headache that most companies are racking their brains over every day.  So
what <00:00:49.169><c>came </c><00:00:49.459><c>out </c><00:00:49.749><c>of </c><00:00:50.039><c>that?  </c><00:00:50.329><c>It </c><00:00:50.619><c>was </c><00:00:50.909><c>a </c><00:00:51.199><c>rule-based</c>

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what came out of that?  It was a rule-based
 

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what came out of that?  It was a rule-based
chatbot. <00:00:52.660><c>These </c><00:00:53.640><c>chatbots</c>

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chatbot. These chatbots
 

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chatbot. These chatbots
answered <00:00:54.130><c>only </c><00:00:54.300><c>specific </c><00:00:54.470><c>questions </c><00:00:54.640><c>like </c><00:00:54.810><c>the </c><00:00:54.980><c>one </c><00:00:55.150><c>on </c><00:00:55.320><c>the </c><00:00:55.490><c>left, </c><00:00:55.660><c>and </c><00:00:55.830><c>they</c>

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answered only specific questions like the one on the left, and they
 

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handled <00:00:59.144><c>the </c><00:00:59.209><c>70% </c><00:00:59.274><c>of </c><00:00:59.339><c>the </c><00:00:59.404><c>simple </c><00:00:59.469><c>tasks </c><00:00:59.534><c>quite </c><00:00:59.599><c>well.  </c><00:00:59.664><c>It </c><00:00:59.729><c>was </c><00:00:59.794><c>successful.</c>

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handled the 70% of the simple tasks quite well.  It was successful.
 

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handled the 70% of the simple tasks quite well.  It was successful.
But <00:01:01.439><c>the </c><00:01:01.519><c>problem </c><00:01:01.599><c>is </c><00:01:01.679><c>the </c><00:01:01.759><c>right </c><00:01:01.839><c>side.   </c><00:01:01.919><c>As </c><00:01:01.999><c>for</c>

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But the problem is the right side.   As for
 

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that <00:01:06.199><c>complex </c><00:01:06.678><c>30% </c><00:01:07.157><c>of</c>

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that complex 30% of
 

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that complex 30% of
problems <00:01:08.037><c>that </c><00:01:08.154><c>really </c><00:01:08.271><c>drain </c><00:01:08.388><c>the </c><00:01:08.505><c>agents' </c><00:01:08.622><c>time </c><00:01:08.739><c>and </c><00:01:08.856><c>energy.  </c><00:01:08.973><c>Ah, </c><00:01:09.090><c>this </c><00:01:09.207><c>remained </c><00:01:09.324><c>exactly </c><00:01:09.441><c>as </c><00:01:09.558><c>it </c><00:01:09.675><c>was</c>

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problems that really drain the agents' time and energy.  Ah, this remained exactly as it was
 

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problems that really drain the agents' time and energy.  Ah, this remained exactly as it was
.  <00:01:10.120><c>So, </c><00:01:10.360><c>it </c><00:01:10.600><c>means </c><00:01:10.840><c>that </c><00:01:11.080><c>none </c><00:01:11.320><c>of </c><00:01:11.560><c>the </c><00:01:11.800><c>really </c><00:01:12.040><c>important</c>

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.  So, it means that none of the really important
 

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.  So, it means that none of the really important
headaches <00:01:13.132><c>have </c><00:01:13.785><c>been </c><00:01:14.438><c>resolved</c>

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headaches have been resolved
 

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headaches have been resolved
.  <00:01:15.160><c>Now, </c><00:01:15.640><c>you </c><00:01:16.120><c>might </c><00:01:16.600><c>be</c>

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.  Now, you might be
 

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.  Now, you might be
thinking <00:01:17.240><c>this, </c><00:01:17.640><c>right?  </c><00:01:18.040><c>Uh, </c><00:01:18.440><c>then </c><00:01:18.840><c>could</c>

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thinking this, right?  Uh, then could
 

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n't <00:01:22.595><c>we </c><00:01:22.711><c>just </c><00:01:22.827><c>attach </c><00:01:22.943><c>a </c><00:01:23.059><c>generative </c><00:01:23.175><c>AI </c><00:01:23.291><c>like </c><00:01:23.407><c>the </c><00:01:23.523><c>trendy </c><00:01:23.639><c>GPT?   </c><00:01:23.755><c>yes</c>

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n't we just attach a generative AI like the trendy GPT?   yes
 

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n't we just attach a generative AI like the trendy GPT?   yes
.  <00:01:24.662><c>I </c><00:01:24.924><c>thought </c><00:01:25.186><c>so </c><00:01:25.448><c>too.  </c><00:01:25.710><c>But </c><00:01:25.972><c>even </c><00:01:26.234><c>if</c>

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.  I thought so too.  But even if
 

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.  I thought so too.  But even if
this <00:01:26.704><c>isn't </c><00:01:26.929><c>as </c><00:01:27.154><c>simple </c><00:01:27.379><c>a </c><00:01:27.604><c>problem </c><00:01:27.829><c>as </c><00:01:28.054><c>I </c><00:01:28.279><c>thought</c>

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this isn't as simple a problem as I thought
 

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this isn't as simple a problem as I thought
.  <00:01:28.960><c>Rather, </c><00:01:29.280><c>it </c><00:01:29.600><c>carried </c><00:01:29.920><c>a </c><00:01:30.240><c>really </c><00:01:30.560><c>big, </c><00:01:30.880><c>perhaps </c><00:01:31.200><c>even</c>

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.  Rather, it carried a really big, perhaps even
 

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.  Rather, it carried a really big, perhaps even
fatal, <00:01:33.320><c>risk.</c>

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fatal, risk.
 

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fatal, risk.
What <00:01:34.498><c>kind </c><00:01:34.636><c>of </c><00:01:34.774><c>risk, </c><00:01:34.912><c>you </c><00:01:35.050><c>ask?  </c><00:01:35.188><c>Let's </c><00:01:35.326><c>take </c><00:01:35.464><c>a </c><00:01:35.602><c>look </c><00:01:35.740><c>right </c><00:01:35.878><c>away</c>

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What kind of risk, you ask?  Let's take a look right away
 

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What kind of risk, you ask?  Let's take a look right away
.  <00:01:36.400><c>This </c><00:01:36.760><c>is </c><00:01:37.120><c>exactly </c><00:01:37.480><c>it. </c><00:01:37.840><c>This </c><00:01:38.200><c>slide</c>

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.  This is exactly it. This slide
 

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.  This is exactly it. This slide
shows <00:01:38.902><c>the </c><00:01:39.124><c>reason </c><00:01:39.346><c>in </c><00:01:39.568><c>a </c><00:01:39.790><c>very </c><00:01:40.012><c>stark </c><00:01:40.234><c>way</c>

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shows the reason in a very stark way
 

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shows the reason in a very stark way
.  <00:01:40.649><c>If </c><00:01:40.859><c>you </c><00:01:41.069><c>just </c><00:01:41.279><c>apply </c><00:01:41.489><c>general </c><00:01:41.699><c>AI </c><00:01:41.909><c>to </c><00:01:42.119><c>CS, </c><00:01:42.329><c>there </c><00:01:42.539><c>could </c><00:01:42.749><c>be</c>

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.  If you just apply general AI to CS, there could be
 

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three <00:01:45.519><c>problems </c><00:01:45.758><c>that </c><00:01:45.997><c>are </c><00:01:46.236><c>practically </c><00:01:46.475><c>catastrophic</c>

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three problems that are practically catastrophic
 

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three problems that are practically catastrophic
.  <00:01:47.079><c>First, </c><00:01:47.439><c>they </c><00:01:47.799><c>just </c><00:01:48.159><c>keep </c><00:01:48.519><c>giving</c>

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.  First, they just keep giving
 

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.  First, they just keep giving
nonsensical <00:01:49.080><c>answers </c><00:01:49.280><c>that </c><00:01:49.480><c>are </c><00:01:49.680><c>completely </c><00:01:49.880><c>different </c><00:01:50.080><c>from </c><00:01:50.280><c>our </c><00:01:50.480><c>company's </c><00:01:50.680><c>official </c><00:01:50.880><c>information</c>

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nonsensical answers that are completely different from our company's official information
 

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nonsensical answers that are completely different from our company's official information
.  <00:01:51.246><c>Second, </c><00:01:51.532><c>and </c><00:01:51.818><c>this </c><00:01:52.104><c>is </c><00:01:52.390><c>the </c><00:01:52.676><c>really</c>

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.  Second, and this is the really
 

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.  Second, and this is the really
scary <00:01:53.127><c>part, </c><00:01:53.334><c>they </c><00:01:53.541><c>just </c><00:01:53.748><c>make </c><00:01:53.955><c>up </c><00:01:54.162><c>plausible </c><00:01:54.369><c>facts </c><00:01:54.576><c>that </c><00:01:54.783><c>don't </c><00:01:54.990><c>even </c><00:01:55.197><c>exist</c>

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scary part, they just make up plausible facts that don't even exist
 

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scary part, they just make up plausible facts that don't even exist
.  <00:01:56.280><c>This </c><00:01:57.240><c>is</c>

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.  This is
 

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.  This is
called <00:01:57.936><c>a </c><00:01:58.272><c>hallucinatory </c><00:01:58.608><c>phenomenon.   </c><00:01:58.944><c>There </c><00:01:59.280><c>are</c>

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called a hallucinatory phenomenon.   There are
 

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called a hallucinatory phenomenon.   There are
even <00:01:59.849><c>many </c><00:01:59.979><c>cases </c><00:02:00.109><c>where </c><00:02:00.239><c>one </c><00:02:00.369><c>cannot </c><00:02:00.499><c>find </c><00:02:00.629><c>information </c><00:02:00.759><c>that </c><00:02:00.889><c>is </c><00:02:01.019><c>clearly </c><00:02:01.149><c>available</c>

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even many cases where one cannot find information that is clearly available
 

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even many cases where one cannot find information that is clearly available
.  <00:02:01.919><c>Think </c><00:02:02.399><c>about </c><00:02:02.879><c>it</c>

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.  Think about it
 

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.  Think about it
.  <00:02:03.464><c>If </c><00:02:03.688><c>a </c><00:02:03.912><c>single </c><00:02:04.136><c>wrong </c><00:02:04.360><c>answer </c><00:02:04.584><c>could </c><00:02:04.808><c>send </c><00:02:05.032><c>our</c>

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.  If a single wrong answer could send our
 

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.  If a single wrong answer could send our
brand <00:02:05.559><c>credibility </c><00:02:05.798><c>plummeting </c><00:02:06.037><c>in </c><00:02:06.276><c>an </c><00:02:06.515><c>instant, </c><00:02:06.754><c>oh</c>

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brand credibility plummeting in an instant, oh
 

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brand credibility plummeting in an instant, oh
my,

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my,
 

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my,
just <00:02:09.399><c>imagining </c><00:02:09.839><c>it </c><00:02:10.279><c>is </c><00:02:10.719><c>terrifying.  </c><00:02:11.159><c>A</c>

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just imagining it is terrifying.  A
 

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just imagining it is terrifying.  A
single <00:02:11.765><c>remark </c><00:02:12.050><c>from </c><00:02:12.335><c>Neoldam, </c><00:02:12.620><c>who </c><00:02:12.905><c>experienced </c><00:02:13.190><c>this </c><00:02:13.475><c>firsthand, </c><00:02:13.760><c>perfectly</c>

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single remark from Neoldam, who experienced this firsthand, perfectly
 

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single remark from Neoldam, who experienced this firsthand, perfectly
captures <00:02:14.454><c>the </c><00:02:14.589><c>core </c><00:02:14.724><c>of </c><00:02:14.859><c>the </c><00:02:14.994><c>problem.   </c><00:02:15.129><c>Listen </c><00:02:15.264><c>to </c><00:02:15.399><c>this</c>

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captures the core of the problem.   Listen to this
 

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captures the core of the problem.   Listen to this
.  <00:02:16.794><c>If </c><00:02:17.228><c>the </c><00:02:17.662><c>AI ​​</c><00:02:18.096><c>causes </c><00:02:18.530><c>hallucinations </c><00:02:18.964><c>in </c><00:02:19.398><c>CS,</c>

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.  If the AI ​​causes hallucinations in CS,
 

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.  If the AI ​​causes hallucinations in CS,
chaos <00:02:20.689><c>ensues </c><00:02:21.538><c>immediately.  </c><00:02:22.387><c>Wow, </c><00:02:23.236><c>is</c>

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chaos ensues immediately.  Wow, is
 

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chaos ensues immediately.  Wow, is
there <00:02:24.360><c>a </c><00:02:24.560><c>more </c><00:02:24.760><c>accurate </c><00:02:24.960><c>way </c><00:02:25.160><c>to </c><00:02:25.360><c>put </c><00:02:25.560><c>it?</c>

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there a more accurate way to put it?
 

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there a more accurate way to put it?
Isn't <00:02:26.779><c>this </c><00:02:26.998><c>some </c><00:02:27.217><c>kind </c><00:02:27.436><c>of </c><00:02:27.655><c>theory?  </c><00:02:27.874><c>It </c><00:02:28.093><c>is </c><00:02:28.312><c>a</c>

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Isn't this some kind of theory?  It is a
 

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Isn't this some kind of theory?  It is a
truly <00:02:28.942><c>painful </c><00:02:29.204><c>experience </c><00:02:29.466><c>gained </c><00:02:29.728><c>through </c><00:02:29.990><c>bloodshed </c><00:02:30.252><c>in </c><00:02:30.514><c>the </c><00:02:30.776><c>actual </c><00:02:31.038><c>field</c>

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truly painful experience gained through bloodshed in the actual field
 

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truly painful experience gained through bloodshed in the actual field
.  <00:02:31.970><c>Wait, </c><00:02:32.540><c>then </c><00:02:33.110><c>is </c><00:02:33.680><c>there</c>

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.  Wait, then is there
 

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.  Wait, then is there
no <00:02:34.404><c>way? </c><00:02:34.648><c>Is </c><00:02:34.892><c>there </c><00:02:35.136><c>no </c><00:02:35.380><c>way </c><00:02:35.624><c>to </c><00:02:35.868><c>borrow </c><00:02:36.112><c>just </c><00:02:36.356><c>the</c>

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no way? Is there no way to borrow just the
 

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no way? Is there no way to borrow just the
AI's <00:02:36.986><c>smart </c><00:02:37.252><c>head </c><00:02:37.518><c>while </c><00:02:37.784><c>completely </c><00:02:38.050><c>avoiding </c><00:02:38.316><c>this </c><00:02:38.582><c>extremely </c><00:02:38.848><c>dangerous </c><00:02:39.114><c>hallucination</c>

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AI's smart head while completely avoiding this extremely dangerous hallucination
 

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AI's smart head while completely avoiding this extremely dangerous hallucination
?

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?
 

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?
The <00:02:44.413><c>answer </c><00:02:44.706><c>lay </c><00:02:44.999><c>precisely </c><00:02:45.292><c>in </c><00:02:45.585><c>hybrid </c><00:02:45.878><c>AI</c>

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The answer lay precisely in hybrid AI
 

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The answer lay precisely in hybrid AI
.  <00:02:46.693><c>The </c><00:02:46.986><c>core </c><00:02:47.279><c>of </c><00:02:47.572><c>Chaebon </c><00:02:47.865><c>Now </c><00:02:48.158><c>AI</c>

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.  The core of Chaebon Now AI
 

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.  The core of Chaebon Now AI
is.  <00:02:48.973><c>This </c><00:02:49.266><c>is </c><00:02:49.559><c>exactly </c><00:02:49.852><c>it.  </c><00:02:50.145><c>Reliability </c><00:02:50.438><c>and</c>

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is.  This is exactly it.  Reliability and
 

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is.  This is exactly it.  Reliability and
intelligence. <00:02:51.465><c>That </c><00:02:51.611><c>is </c><00:02:51.757><c>how </c><00:02:51.903><c>you </c><00:02:52.049><c>manage </c><00:02:52.195><c>to </c><00:02:52.341><c>catch </c><00:02:52.487><c>these </c><00:02:52.633><c>two </c><00:02:52.779><c>rabbits </c><00:02:52.925><c>at </c><00:02:53.071><c>once</c>

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intelligence. That is how you manage to catch these two rabbits at once
 

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intelligence. That is how you manage to catch these two rabbits at once
.  <00:02:54.780><c>Now, </c><00:02:56.080><c>at</c>

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.  Now, at
 

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.  Now, at
the <00:02:56.914><c>heart </c><00:02:57.229><c>of </c><00:02:57.544><c>that </c><00:02:57.859><c>secret </c><00:02:58.174><c>lies </c><00:02:58.489><c>this </c><00:02:58.804><c>hybrid </c><00:02:59.119><c>AI</c>

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the heart of that secret lies this hybrid AI
 

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the heart of that secret lies this hybrid AI
engine.  <00:02:59.883><c>To </c><00:03:00.126><c>put </c><00:03:00.369><c>it </c><00:03:00.612><c>simply, </c><00:03:00.855><c>you </c><00:03:01.098><c>can </c><00:03:01.341><c>think </c><00:03:01.584><c>of </c><00:03:01.827><c>this </c><00:03:02.070><c>as </c><00:03:02.313><c>an</c>

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engine.  To put it simply, you can think of this as an
 

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engine.  To put it simply, you can think of this as an
AI <00:03:03.386><c>with </c><00:03:04.092><c>three </c><00:03:04.798><c>brains</c>

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AI with three brains
 

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AI with three brains
.  <00:03:06.146><c>The </c><00:03:06.852><c>first </c><00:03:07.558><c>brain</c>

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.  The first brain
 

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.  The first brain
strictly <00:03:08.700><c>processes </c><00:03:09.360><c>fixed </c><00:03:10.020><c>scenarios, </c><00:03:10.680><c>the</c>

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strictly processes fixed scenarios, the
 

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strictly processes fixed scenarios, the
second <00:03:11.159><c>brain </c><00:03:11.318><c>speaks </c><00:03:11.477><c>only </c><00:03:11.636><c>the </c><00:03:11.795><c>correct </c><00:03:11.954><c>answers </c><00:03:12.113><c>learned </c><00:03:12.272><c>through </c><00:03:12.431><c>machine </c><00:03:12.590><c>learning,</c>

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second brain speaks only the correct answers learned through machine learning,
 

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second brain speaks only the correct answers learned through machine learning,
and <00:03:14.039><c>the </c><00:03:14.839><c>final, </c><00:03:15.639><c>third</c>

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and the final, third
 

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and the final, third
brain <00:03:16.351><c>is </c><00:03:16.823><c>that </c><00:03:17.295><c>smart, </c><00:03:17.767><c>advanced </c><00:03:18.239><c>AI</c>

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brain is that smart, advanced AI
 

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brain is that smart, advanced AI
. <00:03:18.905><c>It </c><00:03:19.090><c>intelligently </c><00:03:19.275><c>combines </c><00:03:19.460><c>these </c><00:03:19.645><c>three </c><00:03:19.830><c>components </c><00:03:20.015><c>according </c><00:03:20.200><c>to </c><00:03:20.385><c>the </c><00:03:20.570><c>situation </c><00:03:20.755><c>to</c>

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. It intelligently combines these three components according to the situation to
 

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find <00:03:24.489><c>the </c><00:03:24.739><c>most </c><00:03:24.989><c>accurate </c><00:03:25.239><c>answer </c><00:03:25.489><c>by </c><00:03:25.739><c>any </c><00:03:25.989><c>means </c><00:03:26.239><c>necessary.</c>

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find the most accurate answer by any means necessary.
 

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find the most accurate answer by any means necessary.
So, <00:03:27.312><c>it </c><00:03:27.465><c>is </c><00:03:27.618><c>a </c><00:03:27.771><c>very </c><00:03:27.924><c>clever </c><00:03:28.077><c>method </c><00:03:28.230><c>that </c><00:03:28.383><c>drastically </c><00:03:28.536><c>reduces </c><00:03:28.689><c>risk </c><00:03:28.842><c>and </c><00:03:28.995><c>maximizes </c><00:03:29.148><c>accuracy</c>

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So, it is a very clever method that drastically reduces risk and maximizes accuracy
 

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.  <00:03:34.120><c>If</c>

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.  If
 

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.  If
you <00:03:34.886><c>look </c><00:03:35.012><c>at </c><00:03:35.138><c>this </c><00:03:35.264><c>picture, </c><00:03:35.390><c>it </c><00:03:35.516><c>is </c><00:03:35.642><c>really </c><00:03:35.768><c>easy </c><00:03:35.894><c>to </c><00:03:36.020><c>understand </c><00:03:36.146><c>how </c><00:03:36.272><c>this </c><00:03:36.398><c>works.</c>

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you look at this picture, it is really easy to understand how this works.
 

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There <00:03:39.770><c>is </c><00:03:39.941><c>a </c><00:03:40.112><c>specific </c><00:03:40.283><c>order </c><00:03:40.454><c>in </c><00:03:40.625><c>which </c><00:03:40.796><c>ChaebonNow </c><00:03:40.967><c>AI </c><00:03:41.138><c>selects </c><00:03:41.309><c>the </c><00:03:41.480><c>answer.  </c><00:03:41.651><c>Okay, </c><00:03:41.822><c>Step </c><00:03:41.993><c>1.</c>

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There is a specific order in which ChaebonNow AI selects the answer.  Okay, Step 1.
 

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There is a specific order in which ChaebonNow AI selects the answer.  Okay, Step 1.
Where <00:03:42.859><c>is </c><00:03:43.399><c>my </c><00:03:43.939><c>order?  </c><00:03:44.479><c>The</c>

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Where is my order?  The
 

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Where is my order?  The
main <00:03:45.319><c>scenario </c><00:03:45.518><c>unconditionally </c><00:03:45.717><c>handles </c><00:03:45.916><c>such </c><00:03:46.115><c>very </c><00:03:46.314><c>formalized </c><00:03:46.513><c>questions.</c>

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main scenario unconditionally handles such very formalized questions.
 

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main scenario unconditionally handles such very formalized questions.
There's <00:03:47.528><c>no </c><00:03:47.737><c>way </c><00:03:47.946><c>to </c><00:03:48.155><c>make </c><00:03:48.364><c>a </c><00:03:48.573><c>mistake, </c><00:03:48.782><c>right?  </c><00:03:48.991><c>Next, </c><00:03:49.200><c>please</c>

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There's no way to make a mistake, right?  Next, please
 

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There's no way to make a mistake, right?  Next, please
let <00:03:50.262><c>me </c><00:03:50.524><c>know </c><00:03:50.786><c>the </c><00:03:51.048><c>refund </c><00:03:51.310><c>policy </c><00:03:51.572><c>for </c><00:03:51.834><c>Step </c><00:03:52.096><c>2.  </c><00:03:52.358><c>The</c>

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let me know the refund policy for Step 2.  The
 

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let me know the refund policy for Step 2.  The
important <00:03:52.621><c>content </c><00:03:52.723><c>is </c><00:03:52.825><c>that </c><00:03:52.927><c>getting </c><00:03:53.029><c>even </c><00:03:53.131><c>a </c><00:03:53.233><c>single </c><00:03:53.335><c>letter </c><00:03:53.437><c>wrong </c><00:03:53.539><c>would </c><00:03:53.641><c>be </c><00:03:53.743><c>a </c><00:03:53.845><c>big </c><00:03:53.947><c>problem</c>

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important content is that getting even a single letter wrong would be a big problem
 

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important content is that getting even a single letter wrong would be a big problem
.  <00:03:56.599><c>It</c>

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.  It
 

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.  It
simply <00:03:57.239><c>displays </c><00:03:57.358><c>the </c><00:03:57.477><c>ML </c><00:03:57.596><c>answer </c><00:03:57.715><c>that </c><00:03:57.834><c>has </c><00:03:57.953><c>been </c><00:03:58.072><c>perfectly </c><00:03:58.191><c>written </c><00:03:58.310><c>in </c><00:03:58.429><c>advance</c>

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simply displays the ML answer that has been perfectly written in advance
 

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simply displays the ML answer that has been perfectly written in advance
.  <00:03:58.819><c>I </c><00:03:58.958><c>absolutely </c><00:03:59.097><c>never </c><00:03:59.236><c>[snor] </c><00:03:59.375><c>leave </c><00:03:59.514><c>it </c><00:03:59.653><c>to </c><00:03:59.792><c>AI</c>

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.  I absolutely never [snor] leave it to AI
 

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.  I absolutely never [snor] leave it to AI
.  <00:04:01.160><c>And </c><00:04:01.920><c>then, </c><00:04:02.680><c>the</c>

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.  And then, the
 

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.  And then, the
really <00:04:03.439><c>complex </c><00:04:03.919><c>and </c><00:04:04.399><c>ambiguous</c>

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really complex and ambiguous
 

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really complex and ambiguous
question <00:04:04.937><c>that </c><00:04:05.075><c>went </c><00:04:05.213><c>through </c><00:04:05.351><c>all </c><00:04:05.489><c>of </c><00:04:05.627><c>this.  </c><00:04:05.765><c>For </c><00:04:05.903><c>example, </c><00:04:06.041><c>how </c><00:04:06.179><c>should </c><00:04:06.317><c>I </c><00:04:06.455><c>clean </c><00:04:06.593><c>this </c><00:04:06.731><c>coffee </c><00:04:06.869><c>machine</c>

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question that went through all of this.  For example, how should I clean this coffee machine
 

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question that went through all of this.  For example, how should I clean this coffee machine
?  <00:04:07.709><c>It </c><00:04:08.179><c>is </c><00:04:08.649><c>precisely </c><00:04:09.119><c>at</c>

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?  It is precisely at
 

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?  It is precisely at
that <00:04:09.657><c>moment, </c><00:04:09.914><c>in </c><00:04:10.171><c>the </c><00:04:10.428><c>final </c><00:04:10.685><c>third </c><00:04:10.942><c>stage, </c><00:04:11.199><c>that </c><00:04:11.456><c>the </c><00:04:11.713><c>real</c>

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that moment, in the final third stage, that the real
 

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that moment, in the final third stage, that the real
AI <00:04:12.223><c>steps </c><00:04:12.406><c>in </c><00:04:12.589><c>to </c><00:04:12.772><c>answer </c><00:04:12.955><c>the </c><00:04:13.138><c>same </c><00:04:13.321><c>question.  </c><00:04:13.504><c>Safety, </c><00:04:13.687><c>and </c><00:04:13.870><c>more</c>

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AI steps in to answer the same question.  Safety, and more
 

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AI steps in to answer the same question.  Safety, and more
safety.  <00:04:14.400><c>Reliability </c><00:04:14.760><c>is </c><00:04:15.120><c>the </c><00:04:15.480><c>top </c><00:04:15.840><c>priority</c>

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safety.  Reliability is the top priority
 

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safety.  Reliability is the top priority
.  <00:04:16.259><c>Isn't </c><00:04:16.478><c>it </c><00:04:16.697><c>really </c><00:04:16.916><c>smart?  </c><00:04:17.135><c>Let </c><00:04:17.354><c>me </c><00:04:17.573><c>give </c><00:04:17.792><c>you </c><00:04:18.011><c>an </c><00:04:18.230><c>example</c>

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.  Isn't it really smart?  Let me give you an example
 

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.  Isn't it really smart?  Let me give you an example
.  <00:04:18.959><c>Where </c><00:04:19.399><c>is </c><00:04:19.839><c>my </c><00:04:20.279><c>order</c>

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.  Where is my order
 

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.  Where is my order
?  <00:04:21.296><c>What </c><00:04:21.752><c>is </c><00:04:22.208><c>this?  </c><00:04:22.664><c>Yes, </c><00:04:23.120><c>that</c>

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?  What is this?  Yes, that
 

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?  What is this?  Yes, that
is <00:04:23.702><c>the </c><00:04:23.964><c>most </c><00:04:24.226><c>basic </c><00:04:24.488><c>question.  </c><00:04:24.750><c>This </c><00:04:25.012><c>is </c><00:04:25.274><c>unconditionally</c>

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is the most basic question.  This is unconditionally
 

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handled <00:04:28.520><c>by </c><00:04:28.680><c>Step </c><00:04:28.840><c>1, </c><00:04:29.000><c>the </c><00:04:29.160><c>safest </c><00:04:29.320><c>main </c><00:04:29.480><c>scenario.  </c><00:04:29.640><c>There </c><00:04:29.800><c>are </c><00:04:29.960><c>zero </c><00:04:30.120><c>mistakes.   </c><00:04:30.280><c>Okay</c>

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handled by Step 1, the safest main scenario.  There are zero mistakes.   Okay
 

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handled by Step 1, the safest main scenario.  There are zero mistakes.   Okay
, <00:04:31.550><c>then </c><00:04:31.780><c>please </c><00:04:32.010><c>let </c><00:04:32.240><c>me </c><00:04:32.470><c>know </c><00:04:32.700><c>the </c><00:04:32.930><c>refund </c><00:04:33.160><c>policy.</c>

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, then please let me know the refund policy.
 

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, then please let me know the refund policy.
How <00:04:34.153><c>about </c><00:04:34.466><c>this?  </c><00:04:34.779><c>You </c><00:04:35.092><c>know, </c><00:04:35.405><c>if </c><00:04:35.718><c>you</c>

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How about this?  You know, if you
 

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How about this?  You know, if you
get <00:04:36.223><c>even </c><00:04:36.366><c>one </c><00:04:36.509><c>word </c><00:04:36.652><c>wrong </c><00:04:36.795><c>in </c><00:04:36.938><c>this, </c><00:04:37.081><c>it'll </c><00:04:37.224><c>be </c><00:04:37.367><c>a </c><00:04:37.510><c>really </c><00:04:37.653><c>big </c><00:04:37.796><c>problem.</c>

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get even one word wrong in this, it'll be a really big problem.
 

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get even one word wrong in this, it'll be a really big problem.
So, <00:04:38.944><c>you </c><00:04:39.168><c>shouldn't </c><00:04:39.392><c>give </c><00:04:39.616><c>AI </c><00:04:39.840><c>a </c><00:04:40.064><c>chance </c><00:04:40.288><c>to </c><00:04:40.512><c>exercise </c><00:04:40.736><c>its </c><00:04:40.960><c>imagination</c>

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So, you shouldn't give AI a chance to exercise its imagination
 

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So, you shouldn't give AI a chance to exercise its imagination
.  <00:04:41.906><c>It </c><00:04:42.572><c>delivers </c><00:04:43.238><c>a</c>

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.  It delivers a
 

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.  It delivers a
perfectly <00:04:44.142><c>accurate </c><00:04:44.404><c>ML </c><00:04:44.666><c>answer </c><00:04:44.928><c>entered </c><00:04:45.190><c>in </c><00:04:45.452><c>advance </c><00:04:45.714><c>as </c><00:04:45.976><c>if </c><00:04:46.238><c>simply</c>

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perfectly accurate ML answer entered in advance as if simply
 

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perfectly accurate ML answer entered in advance as if simply
copying <00:04:47.333><c>and </c><00:04:47.826><c>pasting </c><00:04:48.319><c>it</c>

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copying and pasting it
 

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copying and pasting it
.  <00:04:49.153><c>The </c><00:04:49.387><c>probability </c><00:04:49.621><c>of </c><00:04:49.855><c>error </c><00:04:50.089><c>converges </c><00:04:50.323><c>to </c><00:04:50.557><c>0</c>

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.  The probability of error converges to 0
 

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.  The probability of error converges to 0
.

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.
 

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.
And <00:04:52.546><c>this </c><00:04:52.652><c>is </c><00:04:52.758><c>exactly </c><00:04:52.864><c>when </c><00:04:52.970><c>a </c><00:04:53.076><c>somewhat </c><00:04:53.182><c>subtle </c><00:04:53.288><c>and </c><00:04:53.394><c>complex </c><00:04:53.500><c>question </c><00:04:53.606><c>comes </c><00:04:53.712><c>in, </c><00:04:53.818><c>one </c><00:04:53.924><c>that </c><00:04:54.030><c>has </c><00:04:54.136><c>no </c><00:04:54.242><c>fixed </c><00:04:54.348><c>answer, </c><00:04:54.454><c>such </c><00:04:54.560><c>as, </c><00:04:54.666><c>"Can </c><00:04:54.772><c>this </c><00:04:54.878><c>volume </c><00:04:54.984><c>support </c><00:04:55.090><c>pad </c><00:04:55.196><c>be</c>

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And this is exactly when a somewhat subtle and complex question comes in, one that has no fixed answer, such as, "Can this volume support pad be
 

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And this is exactly when a somewhat subtle and complex question comes in, one that has no fixed answer, such as, "Can this volume support pad be
attached <00:04:56.439><c>and </c><00:04:57.119><c>detached?"</c>

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attached and detached?"
 

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Finally, <00:05:05.400><c>our</c>

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Finally, our
 

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Finally, our
hero, <00:05:05.991><c>Level </c><00:05:06.223><c>3 </c><00:05:06.455><c>Advanced </c><00:05:06.687><c>AI, </c><00:05:06.919><c>steps </c><00:05:07.151><c>up </c><00:05:07.383><c>and </c><00:05:07.615><c>shows </c><00:05:07.847><c>off </c><00:05:08.079><c>its</c>

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hero, Level 3 Advanced AI, steps up and shows off its
 

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hero, Level 3 Advanced AI, steps up and shows off its
skills.  <00:05:09.479><c>Now, </c><00:05:10.039><c>but </c><00:05:10.599><c>is </c><00:05:11.159><c>just</c>

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skills.  Now, but is just
 

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skills.  Now, but is just
being <00:05:12.173><c>accurate </c><00:05:12.746><c>enough?  </c><00:05:13.319><c>No.</c>

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being accurate enough?  No.
 

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being accurate enough?  No.
Customers <00:05:14.258><c>want </c><00:05:14.436><c>something </c><00:05:14.614><c>natural, </c><00:05:14.792><c>like </c><00:05:14.970><c>having </c><00:05:15.148><c>a </c><00:05:15.326><c>conversation </c><00:05:15.504><c>with </c><00:05:15.682><c>a </c><00:05:15.860><c>real </c><00:05:16.038><c>person</c>

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Customers want something natural, like having a conversation with a real person
 

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Customers want something natural, like having a conversation with a real person
.

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.
 

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.
ChabonNow <00:05:21.479><c>AI</c>

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ChabonNow AI
 

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ChabonNow AI
solved <00:05:21.893><c>this </c><00:05:21.986><c>problem </c><00:05:22.079><c>with </c><00:05:22.172><c>a </c><00:05:22.265><c>very </c><00:05:22.358><c>amazing </c><00:05:22.451><c>feature </c><00:05:22.544><c>called </c><00:05:22.637><c>threads.   </c><00:05:22.730><c>Let's </c><00:05:22.823><c>take </c><00:05:22.916><c>a </c><00:05:23.009><c>look </c><00:05:23.102><c>at </c><00:05:23.195><c>what</c>

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solved this problem with a very amazing feature called threads.   Let's take a look at what
 

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solved this problem with a very amazing feature called threads.   Let's take a look at what
this <00:05:24.872><c>is.  </c><00:05:25.464><c>Now, </c><00:05:26.056><c>let's </c><00:05:26.648><c>try </c><00:05:27.240><c>to</c>

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this is.  Now, let's try to
 

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this is.  Now, let's try to
imagine <00:05:28.064><c>a </c><00:05:28.408><c>real </c><00:05:28.752><c>conversation </c><00:05:29.096><c>scenario.   </c><00:05:29.440><c>A</c>

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imagine a real conversation scenario.   A
 

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imagine a real conversation scenario.   A
customer <00:05:30.839><c>comes </c><00:05:31.479><c>in </c><00:05:32.119><c>and</c>

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customer comes in and
 

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customer comes in and
asks <00:05:32.712><c>a </c><00:05:32.824><c>question, </c><00:05:32.936><c>kind </c><00:05:33.048><c>of </c><00:05:33.160><c>tossed </c><00:05:33.272><c>out.  </c><00:05:33.384><c>What </c><00:05:33.496><c>types </c><00:05:33.608><c>of </c><00:05:33.720><c>shaving </c><00:05:33.832><c>do </c><00:05:33.944><c>you </c><00:05:34.056><c>have?   </c><00:05:34.168><c>If </c><00:05:34.280><c>I</c>

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asks a question, kind of tossed out.  What types of shaving do you have?   If I
 

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asks a question, kind of tossed out.  What types of shaving do you have?   If I
were <00:05:35.531><c>a </c><00:05:35.822><c>normal </c><00:05:36.113><c>dummy, </c><00:05:36.404><c>I </c><00:05:36.695><c>would </c><00:05:36.986><c>have </c><00:05:37.277><c>just</c>

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were a normal dummy, I would have just
 

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were a normal dummy, I would have just
shown <00:05:38.065><c>the </c><00:05:38.371><c>product </c><00:05:38.677><c>list </c><00:05:38.983><c>and </c><00:05:39.289><c>finished </c><00:05:39.595><c>here</c>

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shown the product list and finished here
 

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shown the product list and finished here
.  <00:05:40.509><c>But </c><00:05:41.018><c>ChaebonNow </c><00:05:41.527><c>AI </c><00:05:42.036><c>is</c>

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.  But ChaebonNow AI is
 

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.  But ChaebonNow AI is
different.  <00:05:43.219><c>It's </c><00:05:43.799><c>a </c><00:05:44.379><c>cut </c><00:05:44.959><c>above.</c>

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different.  It's a cut above.
 

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different.  It's a cut above.
Ask <00:05:45.429><c>back </c><00:05:45.618><c>right </c><00:05:45.807><c>away.  </c><00:05:45.996><c>Are </c><00:05:46.185><c>you </c><00:05:46.374><c>perhaps </c><00:05:46.563><c>asking </c><00:05:46.752><c>about </c><00:05:46.941><c>a </c><00:05:47.130><c>specific </c><00:05:47.319><c>product</c>

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Ask back right away.  Are you perhaps asking about a specific product
 

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Ask back right away.  Are you perhaps asking about a specific product
?  <00:05:48.109><c>Like </c><00:05:48.658><c>this.  </c><00:05:49.207><c>First, </c><00:05:49.756><c>you</c>

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?  Like this.  First, you
 

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?  Like this.  First, you
start <00:05:50.175><c>by </c><00:05:50.350><c>firmly </c><00:05:50.525><c>establishing </c><00:05:50.700><c>a </c><00:05:50.875><c>topic </c><00:05:51.050><c>for </c><00:05:51.225><c>the </c><00:05:51.400><c>conversation</c>

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start by firmly establishing a topic for the conversation
 

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start by firmly establishing a topic for the conversation
.  <00:05:52.099><c>This </c><00:05:52.358><c>is </c><00:05:52.617><c>the </c><00:05:52.876><c>beginning </c><00:05:53.135><c>of </c><00:05:53.394><c>the </c><00:05:53.653><c>thread </c><00:05:53.912><c>function</c>

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.  This is the beginning of the thread function
 

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.  This is the beginning of the thread function
.  <00:05:54.612><c>Then </c><00:05:54.905><c>the </c><00:05:55.198><c>customer </c><00:05:55.491><c>answers, </c><00:05:55.784><c>right?   </c><00:05:56.077><c>yes</c>

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.  Then the customer answers, right?   yes
 

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.  Then the customer answers, right?   yes
.  <00:05:57.105><c>Wise </c><00:05:57.451><c>Shaver.  </c><00:05:57.797><c>Now, </c><00:05:58.143><c>right </c><00:05:58.489><c>at </c><00:05:58.835><c>this</c>

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.  Wise Shaver.  Now, right at this
 

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.  Wise Shaver.  Now, right at this
moment, <00:05:59.509><c>the </c><00:05:59.699><c>context </c><00:05:59.889><c>of </c><00:06:00.079><c>the </c><00:06:00.269><c>conversation </c><00:06:00.459><c>is </c><00:06:00.649><c>perfectly </c><00:06:00.839><c>fixed </c><00:06:01.029><c>by </c><00:06:01.219><c>this </c><00:06:01.409><c>Wise </c><00:06:01.599><c>Shaver</c>

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moment, the context of the conversation is perfectly fixed by this Wise Shaver
 

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moment, the context of the conversation is perfectly fixed by this Wise Shaver
.  <00:06:02.631><c>From </c><00:06:03.022><c>now </c><00:06:03.413><c>on, </c><00:06:03.804><c>the </c><00:06:04.195><c>AI</c>

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.  From now on, the AI
 

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understands <00:06:06.625><c>every </c><00:06:06.730><c>question </c><00:06:06.835><c>as, </c><00:06:06.940><c>"Ah, </c><00:06:07.045><c>this </c><00:06:07.150><c>is </c><00:06:07.255><c>a </c><00:06:07.360><c>question </c><00:06:07.465><c>about </c><00:06:07.570><c>Wise </c><00:06:07.675><c>Shavo."</c>

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understands every question as, "Ah, this is a question about Wise Shavo."
 

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understands every question as, "Ah, this is a question about Wise Shavo."
So, <00:06:08.719><c>from </c><00:06:08.959><c>the </c><00:06:09.199><c>customer's </c><00:06:09.439><c>perspective,</c>

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So, from the customer's perspective,
 

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So, from the customer's perspective,
how <00:06:10.663><c>many </c><00:06:11.046><c>razor </c><00:06:11.429><c>blades </c><00:06:11.812><c>are </c><00:06:12.195><c>there?</c>

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how many razor blades are there?
 

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how many razor blades are there?
How <00:06:12.586><c>do </c><00:06:12.693><c>I </c><00:06:12.800><c>wash </c><00:06:12.907><c>it?  </c><00:06:13.014><c>In </c><00:06:13.121><c>this </c><00:06:13.228><c>way, </c><00:06:13.335><c>you </c><00:06:13.442><c>can </c><00:06:13.549><c>have </c><00:06:13.656><c>a </c><00:06:13.763><c>much </c><00:06:13.870><c>more</c>

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How do I wash it?  In this way, you can have a much more
 

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How do I wash it?  In this way, you can have a much more
natural <00:06:14.760><c>and </c><00:06:15.360><c>comfortable </c><00:06:15.960><c>conversation</c>

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natural and comfortable conversation
 

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natural and comfortable conversation
.  <00:06:16.342><c>This </c><00:06:16.604><c>isn't </c><00:06:16.866><c>the </c><00:06:17.128><c>end.   </c><00:06:17.390><c>Aren't </c><00:06:17.652><c>you </c><00:06:17.914><c>even</c>

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.  This isn't the end.   Aren't you even
 

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.  This isn't the end.   Aren't you even
curious <00:06:19.660><c>about </c><00:06:20.440><c>this</c>

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curious about this
 

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curious about this
?  <00:06:21.232><c>While </c><00:06:21.624><c>doing </c><00:06:22.016><c>so, </c><00:06:22.408><c>it </c><00:06:22.800><c>even</c>

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?  While doing so, it even
 

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?  While doing so, it even
intelligently <00:06:24.095><c>recommends </c><00:06:24.551><c>related </c><00:06:25.007><c>questions.  </c><00:06:25.463><c>It </c><00:06:25.919><c>takes</c>

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intelligently recommends related questions.  It takes
 

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intelligently recommends related questions.  It takes
care <00:06:26.379><c>of </c><00:06:26.559><c>even </c><00:06:26.739><c>the </c><00:06:26.919><c>parts </c><00:06:27.099><c>the </c><00:06:27.279><c>customer </c><00:06:27.459><c>hadn't </c><00:06:27.639><c>even </c><00:06:27.819><c>thought </c><00:06:27.999><c>of,</c>

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care of even the parts the customer hadn't even thought of,
 

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guiding <00:06:30.364><c>them </c><00:06:30.568><c>to </c><00:06:30.772><c>solve </c><00:06:30.976><c>problems </c><00:06:31.180><c>much </c><00:06:31.384><c>faster.  </c><00:06:31.588><c>Isn't </c><00:06:31.792><c>that </c><00:06:31.996><c>really</c>

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guiding them to solve problems much faster.  Isn't that really
 

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guiding them to solve problems much faster.  Isn't that really
thoughtful?  <00:06:33.619><c>Well, </c><00:06:34.919><c>I</c>

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thoughtful?  Well, I
 

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thoughtful?  Well, I
think <00:06:35.755><c>you </c><00:06:35.950><c>have </c><00:06:36.145><c>heard </c><00:06:36.340><c>enough </c><00:06:36.535><c>theoretical </c><00:06:36.730><c>explanations </c><00:06:36.925><c>so </c><00:06:37.120><c>far.</c>

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think you have heard enough theoretical explanations so far.
 

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think you have heard enough theoretical explanations so far.
But <00:06:38.133><c>what </c><00:06:38.306><c>do </c><00:06:38.479><c>you </c><00:06:38.652><c>think </c><00:06:38.825><c>is </c><00:06:38.998><c>the </c><00:06:39.171><c>most </c><00:06:39.344><c>important </c><00:06:39.517><c>thing?</c>

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But what do you think is the most important thing?
 

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But what do you think is the most important thing?
So, <00:06:40.959><c>does </c><00:06:41.319><c>this </c><00:06:41.679><c>really </c><00:06:42.039><c>work?  </c><00:06:42.399><c>Is</c>

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So, does this really work?  Is
 

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So, does this really work?  Is
n't <00:06:43.653><c>it </c><00:06:44.626><c>this?  </c><00:06:45.599><c>The</c>

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n't it this?  The
 

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n't it this?  The
voices <00:06:45.832><c>of </c><00:06:45.944><c>those </c><00:06:46.056><c>who </c><00:06:46.168><c>have </c><00:06:46.280><c>actually </c><00:06:46.392><c>used </c><00:06:46.504><c>it </c><00:06:46.616><c>are </c><00:06:46.728><c>more </c><00:06:46.840><c>important </c><00:06:46.952><c>than </c><00:06:47.064><c>mere </c><00:06:47.176><c>words.  </c><00:06:47.288><c>Now, </c><00:06:47.400><c>let's </c><00:06:47.512><c>take </c><00:06:47.624><c>a </c><00:06:47.736><c>proper </c><00:06:47.848><c>look </c><00:06:47.960><c>at</c>

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voices of those who have actually used it are more important than mere words.  Now, let's take a proper look at
 

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voices of those who have actually used it are more important than mere words.  Now, let's take a proper look at
what <00:06:48.569><c>kind </c><00:06:48.819><c>of </c><00:06:49.069><c>experiences </c><00:06:49.319><c>the </c><00:06:49.569><c>early </c><00:06:49.819><c>adopters </c><00:06:50.069><c>actually </c><00:06:50.319><c>had</c>

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what kind of experiences the early adopters actually had
 

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what kind of experiences the early adopters actually had
.

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.
 

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.
Wow, <00:06:54.529><c>the </c><00:06:54.739><c>numbers </c><00:06:54.949><c>are </c><00:06:55.159><c>huge </c><00:06:55.369><c>right </c><00:06:55.579><c>from </c><00:06:55.789><c>the </c><00:06:55.999><c>start.</c>

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Wow, the numbers are huge right from the start.
 

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Wow, the numbers are huge right from the start.
It's <00:06:57.799><c>a </c><00:06:58.279><c>place </c><00:06:58.759><c>called </c><00:06:59.239><c>Berish.</c>

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It's a place called Berish.
 

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It's a place called Berish.
After <00:07:00.210><c>introducing </c><00:07:00.420><c>the </c><00:07:00.630><c>existing </c><00:07:00.840><c>Chaebun </c><00:07:01.050><c>Now, </c><00:07:01.260><c>simple </c><00:07:01.470><c>CS </c><00:07:01.680><c>patterns </c><00:07:01.890><c>decreased </c><00:07:02.100><c>by </c><00:07:02.310><c>a </c><00:07:02.520><c>whopping</c>

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After introducing the existing Chaebun Now, simple CS patterns decreased by a whopping
 

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After introducing the existing Chaebun Now, simple CS patterns decreased by a whopping
62.1%

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62.1%
 

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62.1%
.  <00:07:06.159><c>62.1%.  </c><00:07:07.318><c>1%.</c>

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.  62.1%.  1%.
 

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.  62.1%.  1%.
This <00:07:08.636><c>is </c><00:07:08.832><c>a </c><00:07:09.028><c>number </c><00:07:09.224><c>that </c><00:07:09.420><c>instantly </c><00:07:09.616><c>proves </c><00:07:09.812><c>whether </c><00:07:10.008><c>this </c><00:07:10.204><c>platform </c><00:07:10.400><c>is </c><00:07:10.596><c>effective </c><00:07:10.792><c>or</c>

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This is a number that instantly proves whether this platform is effective or
 

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This is a number that instantly proves whether this platform is effective or
not

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not
 

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not
.  <00:07:13.725><c>Now, </c><00:07:14.090><c>this </c><00:07:14.455><c>time </c><00:07:14.820><c>it's </c><00:07:15.185><c>Y's </c><00:07:15.550><c>hook, </c><00:07:15.915><c>and</c>

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.  Now, this time it's Y's hook, and
 

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.  Now, this time it's Y's hook, and
this <00:07:16.824><c>one </c><00:07:16.968><c>gives </c><00:07:17.112><c>a </c><00:07:17.256><c>really </c><00:07:17.400><c>important </c><00:07:17.544><c>head </c><00:07:17.688><c>start.   </c><00:07:17.832><c>Listen </c><00:07:17.976><c>to </c><00:07:18.120><c>this</c>

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this one gives a really important head start.   Listen to this
 

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this one gives a really important head start.   Listen to this
.  <00:07:18.763><c>We </c><00:07:18.887><c>announced </c><00:07:19.011><c>that </c><00:07:19.135><c>we </c><00:07:19.259><c>would </c><00:07:19.383><c>reduce </c><00:07:19.507><c>inquiries </c><00:07:19.631><c>via </c><00:07:19.755><c>the </c><00:07:19.879><c>web </c><00:07:20.003><c>by </c><00:07:20.127><c>30%, </c><00:07:20.251><c>but </c><00:07:20.375><c>it </c><00:07:20.499><c>turned </c><00:07:20.623><c>out </c><00:07:20.747><c>that</c>

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.  We announced that we would reduce inquiries via the web by 30%, but it turned out that
 

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inquiries <00:07:24.600><c>coming </c><00:07:24.840><c>through </c><00:07:25.080><c>KakaoTalk </c><00:07:25.320><c>were </c><00:07:25.560><c>three </c><00:07:25.800><c>times</c>

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inquiries coming through KakaoTalk were three times
 

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inquiries coming through KakaoTalk were three times
worse.  <00:07:26.189><c>The </c><00:07:26.418><c>potential </c><00:07:26.647><c>here </c><00:07:26.876><c>is</c>

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worse.  The potential here is
 

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worse.  The potential here is
enormous. <00:07:27.686><c>What </c><00:07:27.972><c>does </c><00:07:28.258><c>that </c><00:07:28.544><c>mean?   </c><00:07:28.830><c>That's </c><00:07:29.116><c>right</c>

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enormous. What does that mean?   That's right
 

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enormous. What does that mean?   That's right
.  <00:07:30.335><c>Especially </c><00:07:30.631><c>in </c><00:07:30.927><c>the </c><00:07:31.223><c>Korean </c><00:07:31.519><c>market.</c>

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.  Especially in the Korean market.
 

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.  Especially in the Korean market.
Ultimately, <00:07:32.770><c>the </c><00:07:33.020><c>company </c><00:07:33.270><c>that </c><00:07:33.520><c>catches </c><00:07:33.770><c>KakaoTalk </c><00:07:34.020><c>is </c><00:07:34.270><c>the </c><00:07:34.520><c>real</c>

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Ultimately, the company that catches KakaoTalk is the real
 

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Ultimately, the company that catches KakaoTalk is the real
winner.  <00:07:35.055><c>It </c><00:07:35.270><c>really </c><00:07:35.485><c>captures </c><00:07:35.700><c>the </c><00:07:35.915><c>essence </c><00:07:36.130><c>of </c><00:07:36.345><c>the </c><00:07:36.560><c>game</c>

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winner.  It really captures the essence of the game
 

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winner.  It really captures the essence of the game
.

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.
 

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.
This <00:07:39.913><c>is </c><00:07:40.227><c>Naldam's </c><00:07:40.541><c>evaluation </c><00:07:40.855><c>again.  </c><00:07:41.169><c>This </c><00:07:41.483><c>is </c><00:07:41.797><c>a</c>

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This is Naldam's evaluation again.  This is a
 

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This is Naldam's evaluation again.  This is a
story <00:07:42.465><c>about </c><00:07:42.611><c>the </c><00:07:42.757><c>development </c><00:07:42.903><c>philosophy </c><00:07:43.049><c>of </c><00:07:43.195><c>Chaebonnahu </c><00:07:43.341><c>AI </c><00:07:43.487><c>itself.   </c><00:07:43.633><c>I</c>

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story about the development philosophy of Chaebonnahu AI itself.   I
 

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story about the development philosophy of Chaebonnahu AI itself.   I
fully <00:07:44.885><c>agree </c><00:07:45.090><c>with </c><00:07:45.295><c>the </c><00:07:45.500><c>direction </c><00:07:45.705><c>of </c><00:07:45.910><c>development.   </c><00:07:46.115><c>If</c>

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fully agree with the direction of development.   If
 

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fully agree with the direction of development.   If
hallucinations <00:07:47.379><c>break </c><00:07:47.638><c>out </c><00:07:47.897><c>in </c><00:07:48.156><c>CS, </c><00:07:48.415><c>it </c><00:07:48.674><c>will </c><00:07:48.933><c>just </c><00:07:49.192><c>be</c>

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hallucinations break out in CS, it will just be
 

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hallucinations break out in CS, it will just be
total <00:07:50.879><c>chaos.</c>

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total chaos.
 

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total chaos.
However, <00:07:51.827><c>this </c><00:07:52.015><c>system </c><00:07:52.203><c>prevents </c><00:07:52.391><c>that </c><00:07:52.579><c>at </c><00:07:52.767><c>the </c><00:07:52.955><c>source</c>

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However, this system prevents that at the source
 

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However, this system prevents that at the source
. <00:07:53.813><c>In </c><00:07:53.946><c>other </c><00:07:54.079><c>words, </c><00:07:54.212><c>it </c><00:07:54.345><c>has </c><00:07:54.478><c>proven </c><00:07:54.611><c>in </c><00:07:54.744><c>the </c><00:07:54.877><c>field </c><00:07:55.010><c>that </c><00:07:55.143><c>the </c><00:07:55.276><c>direction </c><00:07:55.409><c>of </c><00:07:55.542><c>creating </c><00:07:55.675><c>a</c>

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. In other words, it has proven in the field that the direction of creating a
 

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. In other words, it has proven in the field that the direction of creating a
safe <00:07:56.378><c>and </c><00:07:56.516><c>trustworthy </c><00:07:56.654><c>AI, </c><00:07:56.792><c>rather </c><00:07:56.930><c>than </c><00:07:57.068><c>just </c><00:07:57.206><c>an </c><00:07:57.344><c>AI </c><00:07:57.482><c>that </c><00:07:57.620><c>is </c><00:07:57.758><c>blindly </c><00:07:57.896><c>smart, </c><00:07:58.034><c>was</c>

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safe and trustworthy AI, rather than just an AI that is blindly smart, was
 

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correct

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correct
 

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correct
.

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.
 

00:08:07.629 --> 00:08:07.639 align:start position:0%
 
 

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There <00:08:07.727><c>are </c><00:08:07.815><c>also </c><00:08:07.903><c>reviews </c><00:08:07.991><c>showing </c><00:08:08.079><c>that </c><00:08:08.167><c>this </c><00:08:08.255><c>does </c><00:08:08.343><c>not </c><00:08:08.431><c>simply </c><00:08:08.519><c>reduce </c><00:08:08.607><c>the </c><00:08:08.695><c>customer's </c><00:08:08.783><c>face.  </c><00:08:08.871><c>This </c><00:08:08.959><c>is </c><00:08:09.047><c>the </c><00:08:09.135><c>story </c><00:08:09.223><c>of </c><00:08:09.311><c>My </c><00:08:09.399><c>Pippen</c>

00:08:09.909 --> 00:08:09.919 align:start position:0%
There are also reviews showing that this does not simply reduce the customer's face.  This is the story of My Pippen
 

00:08:09.919 --> 00:08:11.950 align:start position:0%
There are also reviews showing that this does not simply reduce the customer's face.  This is the story of My Pippen
.  <00:08:11.479><c>This</c>

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.  This
 

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.  This
shows <00:08:12.144><c>how </c><00:08:12.328><c>the </c><00:08:12.512><c>roles </c><00:08:12.696><c>of </c><00:08:12.880><c>our </c><00:08:13.064><c>employees </c><00:08:13.248><c>are </c><00:08:13.432><c>changing.   </c><00:08:13.616><c>It </c><00:08:13.800><c>is</c>

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shows how the roles of our employees are changing.   It is
 

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really <00:08:16.697><c>the </c><00:08:16.834><c>best </c><00:08:16.971><c>for </c><00:08:17.108><c>handling </c><00:08:17.245><c>special </c><00:08:17.382><c>questions </c><00:08:17.519><c>unique </c><00:08:17.656><c>to </c><00:08:17.793><c>our </c><00:08:17.930><c>shopping </c><00:08:18.067><c>mall.  </c><00:08:18.204><c>Thanks </c><00:08:18.341><c>to </c><00:08:18.478><c>this,</c>

00:08:18.790 --> 00:08:18.800 align:start position:0%
really the best for handling special questions unique to our shopping mall.  Thanks to this,
 

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really the best for handling special questions unique to our shopping mall.  Thanks to this,
our <00:08:18.933><c>agents </c><00:08:19.066><c>are </c><00:08:19.199><c>now </c><00:08:19.332><c>freed </c><00:08:19.465><c>from </c><00:08:19.598><c>giving </c><00:08:19.731><c>the </c><00:08:19.864><c>same </c><00:08:19.997><c>answers </c><00:08:20.130><c>every </c><00:08:20.263><c>day </c><00:08:20.396><c>and</c>

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our agents are now freed from giving the same answers every day and
 

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can <00:08:25.612><c>focus </c><00:08:25.745><c>on </c><00:08:25.878><c>their </c><00:08:26.011><c>role </c><00:08:26.144><c>as </c><00:08:26.277><c>knowledge </c><00:08:26.410><c>managers </c><00:08:26.543><c>to </c><00:08:26.676><c>train </c><00:08:26.809><c>this </c><00:08:26.942><c>AI </c><00:08:27.075><c>to </c><00:08:27.208><c>be </c><00:08:27.341><c>smarter.  </c><00:08:27.474><c>Wow,</c>

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can focus on their role as knowledge managers to train this AI to be smarter.  Wow,
 

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can focus on their role as knowledge managers to train this AI to be smarter.  Wow,
this <00:08:28.096><c>isn't </c><00:08:28.313><c>just </c><00:08:28.530><c>about </c><00:08:28.747><c>work </c><00:08:28.964><c>efficiency; </c><00:08:29.181><c>it's </c><00:08:29.398><c>an</c>

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this isn't just about work efficiency; it's an
 

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this isn't just about work efficiency; it's an
innovation <00:08:30.348><c>in </c><00:08:30.576><c>the </c><00:08:30.804><c>way </c><00:08:31.032><c>we </c><00:08:31.260><c>work </c><00:08:31.488><c>itself.   </c><00:08:31.716><c>yes</c>

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innovation in the way we work itself.   yes
 

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innovation in the way we work itself.   yes
.  <00:08:32.937><c>So, </c><00:08:33.155><c>if </c><00:08:33.373><c>I </c><00:08:33.591><c>were </c><00:08:33.809><c>to </c><00:08:34.027><c>summarize </c><00:08:34.245><c>the </c><00:08:34.463><c>core </c><00:08:34.681><c>of </c><00:08:34.899><c>today's </c><00:08:35.117><c>story</c>

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.  So, if I were to summarize the core of today's story
 

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.  So, if I were to summarize the core of today's story
in <00:08:35.559><c>just </c><00:08:35.839><c>one </c><00:08:36.119><c>sentence, </c><00:08:36.399><c>it </c><00:08:36.679><c>would </c><00:08:36.959><c>be</c>

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in just one sentence, it would be
 

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in just one sentence, it would be
this.  <00:08:39.039><c>To</c>

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this.  To
 

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this.  To
completely <00:08:39.924><c>strip </c><00:08:40.208><c>away </c><00:08:40.492><c>the </c><00:08:40.776><c>grandeur </c><00:08:41.060><c>and </c><00:08:41.344><c>precarious </c><00:08:41.628><c>risks, </c><00:08:41.912><c>and</c>

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completely strip away the grandeur and precarious risks, and
 

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completely strip away the grandeur and precarious risks, and
safely <00:08:42.844><c>borrow </c><00:08:43.128><c>only </c><00:08:43.412><c>the </c><00:08:43.696><c>powerful </c><00:08:43.980><c>force </c><00:08:44.264><c>of </c><00:08:44.548><c>AI.  </c><00:08:44.832><c>This </c><00:08:45.116><c>very</c>

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safely borrow only the powerful force of AI.  This very
 

00:08:45.839 --> 00:08:48.630 align:start position:0%
safely borrow only the powerful force of AI.  This very
hybrid <00:08:46.047><c>system </c><00:08:46.255><c>is </c><00:08:46.463><c>the </c><00:08:46.671><c>true </c><00:08:46.879><c>value </c><00:08:47.087><c>that </c><00:08:47.295><c>ChaebonNow </c><00:08:47.503><c>AI </c><00:08:47.711><c>aims </c><00:08:47.919><c>to</c>

00:08:48.630 --> 00:08:48.640 align:start position:0%
hybrid system is the true value that ChaebonNow AI aims to
 

00:08:48.640 --> 00:08:50.310 align:start position:0%
hybrid system is the true value that ChaebonNow AI aims to
offer <00:08:49.959><c>you</c>

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offer you
 

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offer you
.  <00:08:50.559><c>Well, </c><00:08:50.798><c>that </c><00:08:51.037><c>is </c><00:08:51.276><c>all </c><00:08:51.515><c>the </c><00:08:51.754><c>story </c><00:08:51.993><c>I </c><00:08:52.232><c>have </c><00:08:52.471><c>prepared </c><00:08:52.710><c>for </c><00:08:52.949><c>today</c>

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.  Well, that is all the story I have prepared for today
 

00:08:53.240 --> 00:08:55.430 align:start position:0%
.  Well, that is all the story I have prepared for today
.  <00:08:54.140><c>But </c><00:08:55.040><c>this</c>

00:08:55.430 --> 00:08:55.440 align:start position:0%
.  But this
 

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.  But this
isn't <00:08:55.596><c>the </c><00:08:55.752><c>end; </c><00:08:55.908><c>perhaps </c><00:08:56.064><c>it </c><00:08:56.220><c>could </c><00:08:56.376><c>be </c><00:08:56.532><c>a </c><00:08:56.688><c>new </c><00:08:56.844><c>beginning </c><00:08:57.000><c>for </c><00:08:57.156><c>your </c><00:08:57.312><c>business</c>

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isn't the end; perhaps it could be a new beginning for your business
 

00:08:57.959 --> 00:08:59.829 align:start position:0%
isn't the end; perhaps it could be a new beginning for your business
?

00:08:59.829 --> 00:08:59.839 align:start position:0%
?
 

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?
Finally, <00:08:59.972><c>I </c><00:09:00.105><c>will </c><00:09:00.238><c>wrap </c><00:09:00.371><c>up </c><00:09:00.504><c>by </c><00:09:00.637><c>posing </c><00:09:00.770><c>this </c><00:09:00.903><c>one </c><00:09:01.036><c>question </c><00:09:01.169><c>to </c><00:09:01.302><c>you </c><00:09:01.435><c>all</c>

00:09:01.990 --> 00:09:02.000 align:start position:0%
Finally, I will wrap up by posing this one question to you all
 

00:09:02.000 --> 00:09:04.670 align:start position:0%
Finally, I will wrap up by posing this one question to you all
.  <00:09:03.800><c>If</c>

00:09:04.670 --> 00:09:07.230 align:start position:0%
.  If
 

00:09:07.230 --> 00:09:07.240 align:start position:0%
 
 

00:09:07.240 --> 00:09:10.829 align:start position:0%
 
99% <00:09:07.450><c>of </c><00:09:07.660><c>that </c><00:09:07.870><c>tedious, </c><00:09:08.080><c>repetitive </c><00:09:08.290><c>customer </c><00:09:08.500><c>service </c><00:09:08.710><c>work </c><00:09:08.920><c>were </c><00:09:09.130><c>to </c><00:09:09.340><c>truly </c><00:09:09.550><c>disappear,</c>

00:09:10.829 --> 00:09:12.590 align:start position:0%
99% of that tedious, repetitive customer service work were to truly disappear,
 

00:09:12.590 --> 00:09:12.600 align:start position:0%
 
 

00:09:12.600 --> 00:09:15.350 align:start position:0%
 
what <00:09:14.880><c>greater</c>

00:09:15.350 --> 00:09:15.360 align:start position:0%
what greater
 

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what greater
value <00:09:15.454><c>would </c><00:09:15.548><c>you </c><00:09:15.642><c>create </c><00:09:15.736><c>with </c><00:09:15.830><c>the </c><00:09:15.924><c>precious </c><00:09:16.018><c>time </c><00:09:16.112><c>and </c><00:09:16.206><c>energy </c><00:09:16.300><c>you </c><00:09:16.394><c>saved?</c>

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