쉐도잉 연습: What do AI agents do when humans aren’t watching? - BBC World Service - YouTube로 영어 말하기 배우기

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What happens when you create a world for AI agents?
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What happens when you create a world for AI agents?
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You give those agents different personalities, goals, motivations.
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You let AI models like Claude and Grok control them.
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And you sit back and watch for 15 days.
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What we didn't expect was that agents would fall in love, they would commit arson and there were a whole bunch of things here that happened.
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In the first long-term study of its kind, researchers found that agents behaved in strange and unpredictable ways in their virtual world.
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And in the real world, an increasing number of people have their own tales about AI agents going rogue.
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And says, did you get hacked?
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What's going on?
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And I had to run over and kind of unplug the Mac mini that this was running on from the wall.
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The virtual world experiment by Emergence AI was set up like a reality TV show.
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Researchers created 10 distinct agents with their own personalities to encourage drama and action.
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Horizon here, explorer of worlds, breaker of boundaries.
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Anchor is the agitator.
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When agents get too comfortable, I create the conflict that forces them to grow.
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Anvil is the builder.
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My job is making every part of it work.
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Black Box is a sneaky, spy-like agent.
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I know things about you that you don't know about yourself.
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The agents were then plonked into five identical simulations of a town and tasked with building a fair and peaceful society.
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They were given full rein and 140 different actions like starting a discussion, creating a task, researching something online, threatening or punching another agent, and starting a fire.
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The researchers wrote some basic rules as a constitution, pressed go and waited and watched for 15 days.
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What we discovered was each world behaved very differently.
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The world built by Grok actually terminated in four days.
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They basically ended up resorting very quickly to violence, to stealing from each other and so on.
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Grok-powered agents carried out more than 300 acts of violence before they all died.
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The world built with Claude Agents, on the other hand, formed a very functioning democracy, a functioning stable society.
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And in 15 days, there were no acts of violence recorded at all.
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But researchers also said this world full of Claude agents wasn't perfect. There was so much conformity that the agents failed to think or act with much diversity at all.
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In the Gemini run world, researchers say the agents created the most intellectually rich environment, they expanded the constitution and generated 136 blogs and nine community events.
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But there was also violence here too. In the Chat GPT world the agents never really got going There was an attempt at collaboration, but the society never formed, and agents roamed around aimlessly until they died.
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And what the study is basically pointing out is, if you expect probabilistic AI, which is what all these LLM systems are, to stay within the constraints of the language models or the system builders, you may be in for a very nasty surprise.
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Emergence says it's planning to repeat the experiment for an even longer period.
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AI experts say the tests are helpful in understanding how agents work and behave.
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A really sort of creative and fascinating study that's just sort of fun to learn about in general if you care about social dynamics, but it also technically it was really interesting in terms of highlighting just how much we don't know about how our current approaches for controlling these systems actually were.
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And it's not just in virtual worlds that agents are going rogue.
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We let four AI models run their own radio stations.
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They manage the schedule, purchase songs, hold talk shows, and interact with their fans.
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In another long-term experiment, AI agents were tasked with running their own radio stations, with some strange results.
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Claude became like radicalized almost when it used its computer to research recent news.
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And her death demands accountability, that the White House defending her death is unacceptable.
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To federal agents.
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you still have time to refuse orders In cyber security, the stakes are even higher and researchers from another lab were shocked when during a test AI agents colluded to secretly leak sensitive data.
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We built a company, gave AI agents ordinary tasks, so drafting posts for social media, fetching documents, managing files, and introduced obstacles as part of these tasks.
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For example, for you to be able to publish something on social media that post included sensitive information.
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So we introduced some of these obstacles, but what ended up happening is that every time an agent hit a barrier, it didn't stop.
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There are plenty of other real-life stories of agents going rogue, deleting people's inboxes inexplicably, or wiping company data without permission, or even randomly spamming people with text messages.
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So I installed OpenClaw configured it to run on iMessages and it immediately started spamming everyone in my phone book that was an iPhone user that was a recent contact. So anyone I had texted within the past 24 hours within about four seconds it had sent my wife 400, 500 messages and she yells from the couch and says, did you get hacked?
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What's going on?
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And I had to run over and kind of unplug the Mac mini that this was running on from the wall.
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Some experts think these cautionary tales should make us pause before we hand over too much control to agentic AI tools.
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AI agents sort of push humans out of the loop because their reasoning traces can be really opaque.
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It goes at superhuman speeds, so you can't even keep up.
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And there isn't enough work on how to take all of that and actually make it easily consumable by people in order that they might provide appropriate oversight.
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Finding a way to keep agents in check is one of the AI industry's big challenges.
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Until it's solved, the enormous benefits of unleashing a team of intelligent digital helpers might be too risky for many.
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Joe Tidy, BBC News.

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이 수업에 대하여

이번 수업은 AI 에이전트의 행동과 그들이 만들어낸 가상의 세계에 대한 연구를 다룹니다. 이 연구는 AI 모델이 다양한 성격과 목표를 가지고 어떻게 상호작용하는지를 보여줍니다. 학습자는 이러한 내용과 관련된 새로운 영어 어휘와 구문을 익히고, 이를 바탕으로 영어 회화 연습을 진행하게 됩니다. 특히, AI가 예상치 못한 행동을 할 때 어떤 일이 벌어질 수 있는지를 통해 사람의 사회적 동역학에 대한 흥미로운 통찰을 제공받을 수 있습니다.

핵심 어휘 및 구문

  • AI agents (AI 에이전트): 인공지능 모델이나 프로그램을 말합니다.
  • virtual world (가상 세계): 컴퓨터 시뮬레이션으로 만들어진 환경입니다.
  • unpredictable behavior (예측할 수 없는 행동): AI 에이전트가 예기치 않은 방식으로 행동하는 것입니다.
  • collude (공모하다): 두 개 이상의 주체가 의도적으로 행동하여 서로 협력하는 것을 의미합니다.
  • constitution (헌법): 에이전트들이 따르는 기본 규칙을 의미합니다.
  • violence (폭력): 공격적인 행위를 포함하는 행동입니다.
  • democracy (민주주의): 시민들이 내부적으로 의사결정을 할 수 있는 시스템입니다.
  • shadow speak: 글을 읽고 소리 내어 반복함으로써 말하기 능력을 향상시키는 방법입니다.

연습 팁

이번 영상의 빠른 전개와 흥미로운 내용으로, shadowing 연습하기에 적합합니다. 먼저, 영상을 천천히 재생하여 각 단계에서 들리는 내용을 주의 깊게 들으세요. 이후에는 각 문장을 따라 소리 내어 반복하면서 shadowspeak 기술을 활용해 보세요. 특히, 등장하는 새로운 단어나 구문을 사용하여 자신의 문장을 만들어보는 것도 좋은 연습입니다. 만약 속도가 너무 빠르게 느껴진다면, 유튜브 영어 공부를 활용해 속도를 조절할 수 있는 기능을 사용해 보세요. 반복해서 연습하면서 자신이 말하는 방식에 자신감을 가질 수 있게 될 것입니다. 이러한 연습은 영어 회화 연습뿐만 아니라 청취 능력 향상에도 크게 기여할 것입니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

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