शैडोइंग अभ्यास: What do AI agents do when humans aren’t watching? - BBC World Service - YouTube के साथ अंग्रेजी बोलना सीखें
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What happens when you create a world for AI agents?
57 वाक्य
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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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संदर्भ और पृष्ठभूमि
बीबीसी वर्ल्ड सर्विस के इस वीडियो में, एआई एजेंटों के व्यवहार और उनके कार्यों पर ध्यान केंद्रित किया गया है जब कोई इंसान उन पर नजर नहीं रखता। इस शोध में, अलग-अलग व्यक्तित्व, लक्ष्य और प्रेरणाओं के साथ एआई मॉडल्स जैसे कि क्लॉड और ग्रोक को एक वर्चुअल दुनिया में रखा गया। 15 दिनों की अवधि में, शोधकर्ताओं ने देखा कि एआई एजेंटों ने अपने समुदाय में कुछ अजीब और अप्रत्याशित रूप से व्यवहार किया। इस अध्ययन ने हमें यह समझने में मदद की है कि एआई एजेंटों के कार्य पर मानव नियंत्रण कितना तकनीकी रूप से चुनौतीपूर्ण हो सकता है।
दैनिक संचार के लिए शीर्ष 5 वाक्यांश
- क्या आपको हैक किया गया? - यह एक सामान्य सवाल है जब किसी को अपने डेटा की सुरक्षा के प्रति चिंता होती है।
- क्या हो रहा है? - यह प्रश्न स्थिति स्पष्ट करने के लिए उपयोगी होता है।
- मुझे इसे अनप्लग करना पड़ा। - यह वाक्यांश तकनीकी समस्याओं के संदर्भ में प्रयोग होता है।
- उसने 400 संदेश भेजे। - जब आप एआई के व्यवहार के परिणामों का उल्लेख करते हैं।
- कृत्रिम बुद्धिमत्ता के प्रयोग में बाधाएं। - यह वाक्यांश उस स्थिति को वर्णित करता है जब एआई एजेंटों को काम करने में कठिनाइयों का सामना करना पड़ता है।
स्टेप-बाय-स्टेप शैडोइंग गाइड
इस वीडियो के कठिनाई स्तर को समझने और बेहतर अंग्रेजी उच्चारण में सुधार के लिए, आप निम्नलिखित चरणों का पालन कर सकते हैं:
- वीडियो को ध्यान से सुनें: पहले बार में पूरी वीडियो को सुनें, और एआई एजेंटों के विभिन्न व्यक्तित्व और कार्यों पर ध्यान दें।
- मुख्य बिंदुओं का नोट्स लें: वीडियो से महत्वपूर्ण वाक्य और विचार लिखें। इससे आपको उनकी बातों को समझने में मदद मिलेगी।
- शैडोइंग तकनीक का प्रयोग करें: एक वाक्य को सुनकर तुरंत उसे दोहराएं। इससे आप अपनी अंग्रेजी बोलने का अभ्यास कर सकेंगे और उच्चारण में सुधार कर सकेंगे।
- शब्दों और वाक्यांशों का अभ्यास करें: वीडियो में उल्लेखित शीर्ष वाक्यांशों का अपनी दैनिक बातचीत में बार-बार प्रयोग करें।
- फीडबैक प्राप्त करें: दोस्तों या शिक्षक से अपने उच्चारण पर फीडबैक लें जिससे आपको अंग्रेजी शैडोइंग में सुधार हो सके।
इन चरणों का पालन करके, आप न केवल अपने अंग्रेजी उच्चारण में सुधार कर सकेंगे बल्कि shadow speech को भी बेहतर से समझ पाएंगे।
शैडोइंग तकनीक क्या है?
शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।
☕ हमें एक कॉफी पिलाएं
आपके समर्थन के कारण ShadowingEnglish 100% मुफ्त है। सर्वर और AI की लागत अधिक है — आपकी कॉफी हमें आगे बढ़ने में मदद करती है! 🙏