Shadowing Practice: Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct - Learn English Speaking with Video

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62 משפטים
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1
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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אוצר מילים והערות הגייה לשיעור הזה

שיעור הדיבור הזה ברמה C1 מבוסס על הסרטון “Anthropic Whistleblower's Stunning Testimony On Camera: AI Will Make Humans Extinct”. המילים שחוזרות הכי הרבה: companies, build, openai, goal. בסרטון הזה יש 62 משפטים ו-876 מילים לתרגול Shadowing. הדיבור נמשך 5:35. הדובר מדבר בקצב טבעי של כ-157 מילים בדקה, קרוב לשיחה יומיומית. 85% מהמילים נמצאות בין 3,000 המילים הנפוצות ביותר באנגלית; כדאי ללמוד את השאר לפני שמתחילים.

אוצר מילים מרכזי בסרטון הזה

13 המילים המתקדמות ביותר בסרטון, עם ההגייה והמשמעות שלהן:

מילההגייהמשמעות
swarm שם עצם/swɔɹm/נְחִיל
safeguard פועל/ˈseɪfɡɑːd/לְאַבְטֵחַ
unquoteסוף ציטוט
accelerate פועל/ɪkˈsɛl.əˌɹeɪt/האיץ
milestone שם עצם/ˈmaɪlˌstoʊn/אבן מיל, אבן דרך
extinction שם עצם/ɪkˈstɪŋkʃən/הכחדה
competitor שם עצם/kəmˈpɛt.ɪ.tɚ/מִתְחָרֶה, מתחרה
reckless שם תואר/ˈɹɛkləs/רַשְׁלָן
startup שם עצם/ˈstɑɹtˌʌp/סטארטאפ, חברת סטארטאפ
transparent שם תואר/tɹænsˈpæɹənt/שָׁקוּף
transform פועל/tɹænsˈfɔɹm/לשנות
tremendous שם תואר/tɹɪˈmɛndəs/עָצוּם
gambling שם עצם/ˈɡæm.bl̩.ɪŋ/הִמּוּר \ הימור

הגייה ששווה לשים לב אליה

הדובר משתמש ב-13 קיצורים וצורות מקוצרות, כמו don't, can't, I'll. אמרו אותם בצורה הקצרה, כפי שאתם שומעים אותם.

  • הצלילים של “sh” ו-“zh”: extinction /ɪkˈstɪŋkʃən/, expectation /ˌɛk.spɛkˈteɪ.ʃən/
  • מילים ארוכות — שימו לב להטעמה: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, scientifically /ˌsaɪ.ənˈtɪfɪkli/, accelerate /ɪkˈsɛl.əˌɹeɪt/, irresponsible /ˌɪɹ.əˈspɑn.sə.bəl/, competitor /kəmˈpɛt.ɪ.tɚ/

צלילים שדוברי עברית מתקשים בהם:

  • /w/ — שפתיים מעוגלות, לא /v/: swarm /swɔɹm/, warn /woɹn/
  • /æ/ — פתוח יותר מה-“אֶ” העברית, לא כמו “a” ב-“cup”: accurately /ˈæk.jə.ɹɪt.li/, transparent /tɹænsˈpæɹənt/, transform /tɹænsˈfɔɹm/, gambling /ˈɡæm.bl̩.ɪŋ/
  • /r/ — הלשון לא נוגעת בשום מקום, לא ה-“ר” הגרונית: researcher /ˈɹiˌsɝ.t͡ʃɚ/, swarm /swɔɹm/, frontier /ˈfɹʌntɪə/, recursive /ɹɪˈkɜː(ɹ)sɪv/, bravery /ˈbɹeɪ.və.ɹi/

איך לתרגל עם הסרטון הזה

  1. הקשיבו לכל הסרטון פעם אחת בלי לדבר, ורשמו את המילים שאתם לא מכירים.
  2. התחילו במהירות 0.75×, תרגלו Shadowing משפט אחר משפט, וחזרו למהירות רגילה כשזה מרגיש קל.
  3. הקליטו את עצמכם והשוו למקור, תוך תשומת לב למילים כמו swarm, safeguard, unquote.

מהי טכניקת השאדואינג?

שאדואינג היא טכניקת למידת שפה מבוססת מדע שפותחה במקור להכשרת מתורגמנים מקצועיים ופופולרית על ידי הפוליגלוט ד"ר אלכסנדר ארגואלס. השיטה פשוטה אך עוצמתית: אתה מקשיב לאודיו באנגלית ילידית וחוזר עליו בקול רם מיד — כמו צל העוקב אחרי הדובר עם עיכוב של 1–2 שניות בלבד. בניגוד להאזנה פסיבית או תרגילי דקדוק, שאדואינג מכריח את המוח והשרירים בפה לעבד ולשחזר דפוסי דיבור אמיתיים בו זמנית. מחקרים מראים שזה משפר משמעותית את דיוק ההגייה, האינטונציה, הקצב, הדיבור המחובר, הבנת השמיעה ושטף הדיבור — מה שהופך אותו לאחת השיטות היעילות ביותר להכנה לIELTS Speaking ולתקשורת באנגלית בעולם האמיתי.

טכניקת Shadowing: קרא את המדריך המלא שלב אחר שלב →