Shadowing Practice: He’s always wrong - Learn English Speaking with Video
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190 משפטים
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All right?
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We're going to do this again.
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I hope you're ready for this, okay?
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Because since June 12th, we've been working closely with the U .S government to restore access to Claude Mythos 5
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and Fable 5.
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I can't believe Anthropic lost it.
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I wonder, I wonder what caused that.
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Today, the government has notified us that Mythos 5, our strongest cybersecurity model, can be redeployed to a set of U .S organizations that operate and defend critical infrastructure.
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Now you're probably thinking, well, wait a second organizations that do critical infrastructure.
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Haven't we seen this before?
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Wasn't there something about mythos and only going out to select organizations?
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Yes, there was.
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It was called Project Glasswing.
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This was just a couple months ago when Anthropics said mythos was in fact too dangerous.
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And then they released it to everybody.
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And then they pulled it back because the US government was told how dangerous it was.
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Well, we're just replaying this entire record again.
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We're back to Project Glasswing.
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There is the set of the good guys, which apparently is
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they get access again
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and the rest of us we don't get access now i'm going to talk a lot about safety okay
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because here's the deal i think this is all fake i
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think not only is it fake i think it's actually hurting
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people i actually have the opposite opinion of dario surprise surprise
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me with the opposite opinion me with the opposite opinion of
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this guy right here okay we don't actually see eye to
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eye by the way this is dario in 2023 oh we're gonna play this clip of him up.
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Of course, before we begin, I'd like to say thank you to the sponsors.
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One of the more terrifying things you can do as a company is to contract out software.
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And I know a lot of companies are contracting out their mobile applications.
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The thing that makes this so dangerous is that it's a black box experience.
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You hope you get back software that is complete, that is going to be well tested, that ultimately will be extensible as future needs require.
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The last thing I wanted someone else to say to Claude, hey, mobile app, no mistakes.
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It does make mistakes.
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This is why I trust the guys over at Infinite Red.
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I have had many a long talks with the CEO about software quality
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and the way to really build robust and good systems.
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And I love everything he has to say.
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And everything that I have seen with my own eyes, quality of software that they build is very, very good.
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All right, so the safety argument is actually pretty dang ridiculous that we're having right now, this whole kind of gated access to Claude mythos.
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But I just wanted to kind of add one more quick point.
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If you don't know, right now, chat GPT 5 .6 is also in a limited preview.
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And the reason being, for now, at the request of the US government,
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we're starting with a limited preview among a small group of trusted partners that's also too dangerous.
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He's not allowed to release it either.
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We got to make sure we slowly roll the thing out.
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And we're entering into an era in
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which the government is now going to have a larger and larger impact into what is exactly happening.
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And this was always Dario's goal.
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His goal was always to have the government step in and make regulation.
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He's been just saying this nonstop.
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If you read his writings, if you listen to his talks,
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and his urging that we all has been realized the Frontier Studios are all being slowed down,
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but that's not really actually making anything safer.
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Because here's the deal.
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Have you heard of the old model GLM?
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Well, GLM 5 .2 apparently beats Claude in some cybersecurity benchmarks.
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At least in this article, the security that's being ran is insecure direct object reference.
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If you don't know what that is, that's simply, let's just pretend you have an endpoint on your website that goes and grabs user information.
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If I were to pass in any user ID, you should probably go, hey, are you that user?
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Oh, you're not?
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Hey, you're not allowed to look at, I'm sorry.
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Hey, brother, sorry, this is not you.
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404, don't know who this is.
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out that the fourth most common bug on hacker one top vulnerability list is in fact,
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these right here these oopsie poopsies insecure direct object references where people can just go onto websites
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and get data if they just simply have an ID.
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So Semgrep went off and developed a benchmark against these type of vulnerabilities.
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And it turns out things like Claude code Opus 46 and 48 did about a 28 % to 37%.
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Jippity codex at about a 20 %
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itself did all 39 % did better than both Claude Code and their latest models and Gipity 5 .5.
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Now
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if you don't know a harness makes a big difference a
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harness is a lot of the reasons why you think coding with an LLM has gotten
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so good it's actually the harness the ability for the model to use
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and abuse the system to gather information
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and make smarter decisions a harness is going to be the thing
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that gives the model access to tools in which it can then go and make much more informed decisions so
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with no harness outperformed Opus 4 .8 by practically 10%, Jippity 5 .5 by practically 20%.
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And those both have harnesses.
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And the thing about GLM that you may not realize is that it's an open weight model.
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I can go to Hugging Face right now and download the model.
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The thing is, it's very, very large for me to be able to run it with any level of effectiveness, it could cost me about $73 an hour.
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Now, if I was a lot more than $73 an hour by scamming people.
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And of course, it would be a completely offline model for me to just have, I wouldn't have to go
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and fork over millions of dollars to be able to have an on premise machine that could run this instead, I could just run it from the safety of my computer, just doing a quick little SSH up,
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bada bing, bada boom, and just see the thing run.
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Not only that, but Hermes agents, one of these many agents, one of these many harnesses that run models has something called a mixture of agents, meaning it uses both 55 from Jippity,
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and also uses 40 is four eight.
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And by combining those both, it's doing better on benchmarks.
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In other words, it's performing better.
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I don't really like honestly, when someone says it's 11 % better, I have no idea what that actually means, because I don't know how to quantify.
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programming in
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that kind of sense i don't know how to be like it's four percent better like i don't know what
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that means But it's just saying, hey, it's scoring higher on whatever these tests are, which once again means that the ability to do,
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you know, security research and all this is actually kind of generally available.
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The bugs that Mythos has found, people are able to find them also with 4 .8.
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You're going to be able to find them with the mixture of agents.
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GLM is going to be able to go off and find these as well.
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As harnesses improve, the ability to do this is going to go way up.
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higher than Mythos.
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So it's all actually available.
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It's just available to those with money.
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If you have money and time, and you can set up your own harness, bada bing, bada boom, you're going to have yourself a hacking machine,
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which is ultimately what Dario has been warning everybody about.
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The scaling of open source models, I think it's going down a very dangerous path.
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And if again, if the path continues, I think we could get to a very dangerous place.
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Yikes.
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I think it's worth saying some things on open source models that are clear to all the experts, but I want to make sure is understood by this.
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Clear to all the experts.
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They uniformly agree, which is crazy because, you know, classic experts.
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I mean, you can't even get dentists to agree on the toothpaste, and he's over here getting...
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experts to agree to outcomes of stuff we haven't measured yet?
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Kind of wild.
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Committee, which is when you control a model and you're deploying it, you have the ability to monitor its usage.
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It's really all you need to know.
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You'd like to monitor the usage.
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And this is the whole argument.
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This is the entire safety argument, which is just completely broken.
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There's open source models in which are doing absolutely excellent.
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There's people that have money and motivation to scam.
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They have access to it.
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There's a whole bunch of people that maintain don't have access to these models.
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They don't have access to these open source frameworks, because they're not going to go spend, you know, $5 ,000 over a weekend to maintain their little open source project
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that nobody actually cares about in which the entire world uses
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and everybody actually cares about they just don't realize they care about it.
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And this is the whole problem of the safety argument is that it's fundamentally unsafe, the tools and the harnesses are there.
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people talking about it all the time on the internet.
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There's already better harnesses that are scoring higher, whatever that means, on the same benchmarks than Mythos.
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At the end of the day, I think Michael, creator of Effects TS, says it best.
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Gonna need to get something off my chest.
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The Discord on CyberSec and Mythos slash US approach is stupid beyond imagination.
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There should be no guardrails, and the most powerful model should be immediately available to everyone.
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Want to make sure the world is safer?
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Give free usage to maintainers of core infrastructure.
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If access is restricted, be sure offensive teams will find their way in.
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Somebody with insider access to Anthropic
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or OpenAI will be offered a deal they can't refuse and leak the model to malicious actors, or a malicious actor will end up developing an equally capable model.
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Look at GLM.
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It's near the same level of capability.
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Yeah, maybe it's not mythos levels, but it's not far off.
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Yes, not only the good folks have money, but also the bad ones.
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Exactly correct.
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The only thing you achieve by restricting access is unsafety.
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100%.
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Because that's the thing is right now, you could have an entire world that exists in which people could be preparing their piece of the world,
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their little corner of software, making it more secure if that's the true delivery of these models to begin with.
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If that's the case, wouldn't you want the whole world to walk in lockstep?
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Why would you want a select group of bad guys who happen to have a couple million
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or the ability to rent out enough Blackwell Ultra
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Nvidia to be able to take advantage of everybody else
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while we the plebs wait for the ability to secure our own systems.
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Like the fundamental premise of this all doesn't make any sense.
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Like if Dario actually wanted safety, he would go for Federation.
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It's the only way to make the world safe is to
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have a lot of people work on it at the same time.
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The only way to make it unsafe is to allow people to lag far behind what the bad guys have access to.
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Ridiculous.
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Absolutely ridiculous.
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And that's because at the end of the day, anthropic Dario over here what they really want is control he says it right there inside the little interview
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If I can just control the inputs, well then I can control the outputs.
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If I don't let you say certain things, well then you can't say it to the model.
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I can protect you from you and ultimately that's why i call him daddy dario
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He is the one that's going to keep you safe from all the bad guys or good guys.
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But you're going to be safe because, honestly, he has your best interest in heart, which is just control.
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I mean, sorry, safety, safety.
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He has your best interest in heart.
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It's safety.
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That's what he wants.
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Anyway, so there you go.
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That's my whole opinion on safety in this entire talk.
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I think it's all ridiculous.
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I think this entire gated access and everything is really not doing anything good.
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I think at the end of the day, the bad actors are still going to be bad.
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been cited a hundred times all over these different studies it's not like we're actually really having security
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or just having security theater.
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And ultimately, it's a play for control.
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Or it's a play for Dario to be able to regulate his opponents out of business.
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I'm not actually really sure which one it is.
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Probably both is my guess.
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Anyways, I can't wait for Fable to come back out again.
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That would be great, huh?
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I'd love to have a little bit of Fable.
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Wouldn't you?
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Yeah, that'd be fantastic.
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I'd use it again.
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Yeah, Fable?
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I would.
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The name.
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This is the Primogen.
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Why practice speaking with this video?
This engaging video discussion on the complexities of cybersecurity and governmental influence provides an excellent context for learners looking to improve English pronunciation and boost their speaking skills. By analyzing real conversations from current events, you can learn English with YouTube in a dynamic way that reflects contemporary issues. The speaker articulates a variety of opinions and situational vocabulary, making it a rich resource for English speaking practice. Additionally, viewers can use the shadowing technique to mimic the speaker’s intonation and rhythm, enhancing their own speaking skills while grappling with pertinent topical content.
Grammar & Expressions in Context
Here are some key grammatical structures and expressions used by the speaker that you can incorporate into your own speaking:
- “I can't believe…” - This expression is commonly used to convey disbelief. It’s an effective way to express surprise or shock about a situation or statement.
- “There is the set of… which…” - This structure allows you to clarify or define specific groups or categories, enriching your speaking and writing skills.
- “We’re just replaying this entire record again.” - The use of ‘replaying’ in this context emphasizes repetition in events, illustrating a concept familiar to many learners.
- “The thing that makes this so dangerous…” - This phrase can introduce explanations, offering a way to discuss risks or issues, which enhances argumentative skills.
Common Pronunciation Traps
As you practice with this video, pay attention to these potentially tricky pronunciations:
- “cybersecurity” - The rhythm and syllables can often trip learners up. Break it down as: cy-ber-se-cur-i-ty.
- “statement” - Make sure to emphasize the first syllable: STATE-ment, to differentiate from “statements” which may blend together in rapid speech.
- “government” - This word can be challenging; ensure the ‘g’ and ‘n’ are pronounced clearly, avoiding reductions often seen in casual conversation.
Using a shadowing app, you can precisely mimic these tricky words, allowing for effective practice to perfect your pronunciation. By focusing on these specific elements, you'll not only enhance your speaking abilities but also deepen your understanding of the language used in real-world contexts.
דקדוק בסרטון הזה
המבנים שהדובר משתמש בהם הכי הרבה, עם המילים המדויקות מהסרטון:
| מבנה | בסרטון |
|---|---|
| משפטי תנאי (Conditional sentences) if + clause, will/would + verb — תנאי ותוצאה שלו | If that's the case, wouldn't you · if Dario actually wanted safety, he would go |
| הווה מושלם ממושך (Present perfect continuous) have/has been + -ing — פעולה שהתחילה בעבר ועדיין נמשכת עכשיו | we've been working · has been warning |
| הווה מושלם (Present perfect) have/has + past participle — פעולה שקרתה בעבר ועדיין יש לה חשיבות או השפעה עכשיו | has notified · Haven't we seen · have had |
| סביל (Passive voice) be + past participle — הדגש הוא על מה שקורה, לא על מי שעושה את הפעולה | can be redeployed · was called · was told |
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.