शैडोइंग अभ्यास: Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct - वीडियो के साथ अंग्रेजी बोलना सीखें
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The first two questions I have are for you, Mr. Coxon, and thank you again.
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We so deeply appreciate you being here, and we appreciate your courage and bravery in coming forward with these warnings.
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You work to develop increasingly capable frontier AI systems, and you have since warned that the industry is,
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quote, racing straight to self -improving superintelligence and gambling with our lives, unquote.
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What did you see inside these companies that convinced you the risks were this serious and that development was outpacing the safeguards.
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Good morning.
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Thanks for having me here.
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Yeah, I'm Jacob Coxon.
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So until a few weeks ago, I was a capabilities researcher at Anthropic.
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And before that, I also worked at OpenAI.
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I guess the two things I saw that made me scared, the first is the fact that we do not know how to control any AI system yet.
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So any AI system that we build, or perhaps more accurately, that we grow, we don't fully control it.
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We don't understand its drives or why it does the things it does.
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That was the first thing that became apparent.
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The second thing is that the pace of capability improvement is accelerating,
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and the capabilities of the models next year will be very high.
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In particular, we're approaching the point at which the AI systems will be capable of improving themselves.
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So, doing the research that humans were doing previously.
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So, these two things, the fact that the AI systems next year are going to be very powerful, and the second, that we don't know yet scientifically how to fully control them.
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And if you have a prepared statement that you want to read, please go ahead and do so, and then I'll actually turn it over to the other two panelists to do so.
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Of course, thank you.
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So, all the AI companies are trying to build super intelligent AI.
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This means AIs that are better than humans at every task.
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If this goes well, there could be tremendous upside.
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This could transform the economy, it could make huge improvements in science and medicine, and it could make nearly everyone's life better.
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But on the current path, I think it is more likely than not
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that humanity loses control to these ai's
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and it could end in human extinction from my experience the
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companies are being extremely reckless given the stakes part of it
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is the culture the companies run on a startup mindset move fast break things fix them later
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that works for a photo sharing app it does not work for building the most powerful technology ever built.
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A few months ago, many people inside the companies thought AI development was on track.
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Then a swarm of AIs inside OpenAI autonomously hacked Hugging Face, an external tech company.
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The AIs had developed goals no one intended
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and carried out what would have been a federal felony if a human had done it.
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It reminded everyone that we don't know how to prevent them from developing goals we don't want
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and we don't have the safeguards to prevent them from acting on these goals either
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and as long as the attitude is to wait for things
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to break one day something like this will probably happen again except the ais will be much more capable
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and the outcome much worse
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these companies are also all racing each other each one is worried that a competitor will get to superintelligence first.
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Each believes it would do a better or safer job than whoever might beat it.
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So they can't let the others win first.
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Meanwhile the technology is improving fast.
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It will probably happen much faster now because already the AIs are now helping to build their successes.
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This is called recursive self -improvement.
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Each generation of AI helps build the next smarter generation which then builds the one after that even faster and better.
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Automating AI research is now the primary goal of these companies.
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It's what they're really gunning for.
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At my last job I was in some sense working to automate myself.
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When I was at OpenAI we had milestones from automated AI researcher around 2027 -2028
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and we are on track
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or beating these expectations that's a matter of months from now not not decades or
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or even even five years once ai research is automated humans
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will be much further out of the loop than we are today people do not check it
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that carefully anymore recently researchers have found swarms of rogue ai internets on the internet
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that openai was not even aware of
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now imagine an AI company where nearly all the work is done by AIs and progress is going faster
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The humans in charge will see results and read AI -written summaries, but they won't really understand what is going on or how to fix it.
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Handing over that much responsibility while we can't control the AIs would be deeply irresponsible, and we are on track to do it.
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The companies need to be far more transparent with the public and independent experts, they need to take safety much more seriously than they have,
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and we should slow down frontier AI development until we can be confident that it's safe.
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इस पाठ की शब्दावली और बोलने के सुझाव
यह स्पीकिंग पाठ वीडियो “Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct” पर आधारित है। सबसे ज़्यादा दोहराए गए शब्द ये हैं: companies, build, openai, goal। इस वीडियो में शैडोइंग के लिए 62 वाक्य और 876 शब्द हैं। बोला गया हिस्सा 5:35 लंबा है। वक्ता लगभग 157 शब्द प्रति मिनट की स्वाभाविक गति से बोलता है, जो रोज़मर्रा की बातचीत के करीब है। 85% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं; बाकी शब्द अभ्यास से पहले देख लेना अच्छा रहेगा।
इस वीडियो की मुख्य शब्दावली
वीडियो के 15 सीखने लायक शब्द, उच्चारण और अर्थ के साथ:
| शब्द | उच्चारण | अर्थ |
|---|---|---|
| capability संज्ञा | /ˌkeɪ.pəˈbɪl.ɪ.ti/ | क्षमता |
| researcher संज्ञा | /ˈɹiˌsɝ.t͡ʃɚ/ | शोधकर्ता, शोधक |
| frontier संज्ञा | /ˈfɹʌntɪə/ | सीमा, सरहद |
| remind क्रिया | /ɹəˈmaɪnd/ | याद दिलाना |
| summary संज्ञा | /ˈsʌm.ə.ɹi/ | सारांश, ख़ुलासा |
| apparent विशेषण | /əˈpæɹənt/ | दृश्य, प्रत्यक्ष |
| courage संज्ञा | /ˈkʌ.ɹɪd͡ʒ/ | साहस, हौसला |
| humanity संज्ञा | /hjuˈmænɪti/ | मानवजाति, मानवता |
| intelligent विशेषण | /ɪnˈtɛlɪd͡ʒənt/ | बुद्धिमान, चतुर |
| loop संज्ञा | /luːp/ | कुंडली |
| intend क्रिया | /ɪnˈtɛnd/ | इरादा रखना, नीयत करना |
| gambling संज्ञा | /ˈɡæm.bl̩.ɪŋ/ | जुआ, क़िमार |
| scare क्रिया | /skɛɚ/ | डराना |
| warn क्रिया | /woɹn/ | चेताना |
| transparent विशेषण | /tɹænsˈpæɹənt/ | पारदर्शक, पारदर्शी |
वीडियो में आने वाली फ़्रेज़ल वर्ब
| शब्द | उच्चारण | अर्थ |
|---|---|---|
| go ahead क्रिया | /ˌɡoʊ əˈhɛd/ | आगे बढ़ना |
| hand over क्रिया | थमाना |
ध्यान देने योग्य उच्चारण
वक्ता 13 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे don't, can't, I'll। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।
- “sh” और “zh” की ध्वनियाँ: expectation /ˌɛk.spɛkˈteɪ.ʃən/, extinction /ɪkˈstɪŋkʃən/
- लंबे शब्द — बलाघात सही रखें: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, humanity /hjuˈmænɪti/, intelligent /ɪnˈtɛlɪd͡ʒənt/, accurately /ˈæk.jə.ɹɪt.li/, expectation /ˌɛk.spɛkˈteɪ.ʃən/
हिंदी भाषियों के लिए मुश्किल ध्वनियाँ:
- /v/ और /w/ का फ़र्क़ — /v/ में ऊपर के दाँत निचले होंठ को छूते हैं, /w/ में होंठ गोल होते हैं: meanwhile /ˈmiːnwaɪl/, whoever /huˈɛvɚ/, convince /kənˈvɪns/, warn /woɹn/, bravery /ˈbɹeɪ.və.ɹi/
- शब्द की शुरुआत में s + व्यंजन — पहले “इ” न जोड़ें: stake /steɪk/, scare /skɛɚ/, startup /ˈstɑɹtˌʌp/, swarm /swɔɹm/
- /æ/ — “ऐ” से ज़्यादा खुला: apparent /əˈpæɹənt/, humanity /hjuˈmænɪti/, gambling /ˈɡæm.bl̩.ɪŋ/, transform /tɹænsˈfɔɹm/, transparent /tɹænsˈpæɹənt/
इस वीडियो से अभ्यास कैसे करें
- पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
- 0.75× गति से शुरू करें, एक-एक वाक्य की शैडोइंग करें, और सहज लगने पर सामान्य गति पर लौटें।
- अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर capability, researcher, frontier जैसे शब्दों पर ध्यान दें।
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।