跟读练习: What do AI agents do when humans aren’t watching? - BBC World Service - 通过YouTube学习英语口语
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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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关于本课程
在本课程中，学习者将通过一段关于人工智能代理的对话，来练习听力和口语技能。视频中展示了AI代理在不同环境下的行为，包括它们的个性、目标和动机如何影响其决策。这是一个独特的学习机会，让学习者不仅能听到自然的英语对话，还能掌握与技术相关的词汇和短语。通过在观看这段视频时进行跟读，学习者能有效提高其英语口语能力，尤其是对于雅思口语练习和日常交流方面有很大帮助。
关键词汇与短语
- 人格 (personality) - 指个体的性格特征。
- 暴力 (violence) - 指使用力量或武力的行为。
- 社会 (society) - 指一个共同生活的群体或人类的集体。
- 实验 (experiment) - 指通过测试或研究来获取结果的过程。
- 统治 (governance) - 指管理和控制一个社会或组织的过程。
- 夫妇 (couple) - 指两个在感情上有联系的人。
- 情感 (emotion) - 指内心的心理状态或感觉。
- 研究 (research) - 指系统地调查和分析问题的过程。
练习提示
借助本视频进行英语口语练习时，需要注意跟读的速度和语调。视频中的对话速度适中，适合各级别的学习者进行跟读。建议学习者第一次观看视频时，专注于理解内容，第二次时则尝试跟随音频进行重复。利用这个shadowing site中的材料，将能有效地帮助提高发音和语调的准确性。同时，要注意语言的自然流畅度，这对于雅思口语练习也是至关重要的。利用看YouTube学英语的方式，鼓励自己在不同情境下使用新学到的词汇和短语。最终，学习者可以通过练习“shadow speech”，提升自信心，并更加自如地用英语进行交流。
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。