Prática de Shadowing: Maybe we were wrong - Aprenda a falar inglês com vídeo
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The last couple years of being a developer has been,
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you know, I guess kind of interesting, right?
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Fellas, I actually have some good news here, okay?
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Things have been changing.
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Some whispers have been halving and new news is hitting the front lines.
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It turns out being a software developer might actually be pretty dang awesome.
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Now, if you haven't been in the software development realm for the last three years,
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let me do a quick recap for you.
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First off, you shouldn't teach your kids to code because honestly,
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you should let AI do
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that says ai salesman number one you've said ai could wipe out half of all entry-level white-collar jobs
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and spike unemployment to 10 to 20 percent in the next one to five years yes
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and of course dario here always just giving it to you
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straight by the way look at how happy he is he
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is answering this question with such alacrity he has never been
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more excited to tell you you are about to lose your
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job than i've seen any man on earth this guy loves
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firing people he loves firing people not even from his own company and
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if that's not enough for you of course last year we
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had sam altman sam gyppity altman just dropping the death star
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the day before big product announcements just letting everybody know hey what we're about to do it's pretty big
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and of course this is a very confusing message is he saying he's the bad guys is
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that what he's saying is does he release the death star
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i'm still confused to this like this post actually eats like
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it's an earworm okay it eats me from the inside like
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what the hell happened here why why why would you post this
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but the thing i wanted to to talk about this this
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turning point that's happening is this right here look at this
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just in sam altman says ai probably won't trigger the job apocalypse he once predicted not only
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that but uber coo now says hey
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when you're spending a whole bunch of tokens honestly can't really tie it to features
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so there's something just kind of happening in our world there's
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some maybe some news realizing how important it is to have competent
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and good developers it's like the timeline is almost kind of oddly healing in a way.
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So we, of course, we absolutely have to go over this.
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I got a lot of yeah.
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Okay.
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The vindication gap is going to land on this video,
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but more importantly, I want to do a quick thank you to the sponsors.
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Hey, is that HTTP?
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Get that out of here.
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That's not how we order coffee.
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We order coffee via SSH terminal.shop.
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Yeah.
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You want a real experience.
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You want real coffee.
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You want awesome subscriptions.
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So you never have to remember again.
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Oh, you want exclusive blends with exclusive coffee and exclusive content then check out cron you don't know what ssh is
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well maybe the coffee is not for you
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okay first let's talk about sammy jippity altman right here saying
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hey maybe he was wrong here's kind of exactly what he
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said this of course is from a commonwealth bank of australia
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conference in sydney just last tuesday it says this i don't think we're gonna have the kind of jobs apocalypse
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that some of the companies in our space advocate
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or talk about by the way i love the fact
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that he says advocate like there's actual companies in his space
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advocating for everybody to lose their jobs you know who we're
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talking about okay you know who sammy boy's talking about he's
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not talking about you know minstrel ai the bro's talking about anthropic he's just like yo anthropic
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they really want you to lose the jobs here it could
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also be to be fair this could also be some sort
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of jab at musk as well i can't really tell
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but either way very hilarious i thought there was going to
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be more impact on entry-level white-collar jobs being eliminated by now
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than has actually happened i now think i understand more about why it hasn't
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and i'm obviously grateful but
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that is an area where my intuitions were just off we
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really do care about our interactions with people he added
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which he said for better or for worse updated me to thinking
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that the jobs picture is likely going to be very different
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than we thought okay whoopsie poopsie turns out maybe people like to talk to people
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and interact with people
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and building great products actually turns out maybe just might take people might take people to do
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that huh crazy i i just thought we were gonna get
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metered intelligence i thought i thought you stole the internet took
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everything compressed it down into the sweet next token prediction
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and then sell us back to us and then we pay for it
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and it's just like that
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and that's how the world works of course sam's actually not
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the only one goldman sachs ceo david m solomon says
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that ai won't eliminate 25 of the jobs he's just saying
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hey it turns out people will spend their time in more productive ways
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and he makes some cases down here saying hey did like any other technology ever do this
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and what we're observing is not true in the data
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so this is actually kind of a positive development i'm actually
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pretty excited about this i would love to see things actually
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healing from this craze where you have all these ceos
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that have been told for the last two years of these
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companies like no bro bro i'm just letting you know you
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gotta just like dude just like fire everybody you don't need them
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because you got ass dude you got open claw open claw
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is gonna do everything you just say yo million dollar sass no mistakes
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and bam in just a few minutes crunching some clod four points actually 4.6 4.7 is kind of
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you're gonna have yourself a million dollar sass.
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I am so happy that this is starting to crumble
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because this is something that has needed to crumble now for a while because it is ridiculous.
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There is so many people right now that at their jobs are being forced to like a certain level of AI output.
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And if they don't make it,
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they're like heads on the chopping block,
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even if it's not a good idea.
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Like they don't even get the option of going,
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hey, is this good or bad?
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It's like, no, use it or that's bad.
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Like if you don't use it, that's bad.
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I was like, well, maybe it's not always the best thing.
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And where this is really starting to show is this right here,
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this Uber COO saying
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that heavy AI spend is actually getting harder to justify as higher token usage fails to show clear payoff in consumer features.
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Now, this of course is a headlining item.
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So let's actually watch the video as opposed to,
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you know, seeing what Twitter has to say.
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Let's look at the actual video.
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Let's hear what he has to say.
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I know, novel concept, right?
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You make your head explode, right?
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When you hear companies talking about,
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hey, 25% of code commits over the last quarter were AI driven.
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Or, you know, our token usage went from X to Y or percentage of employees,
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you know, all these sort of numbers. And it's amazing.
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And I think it's like this massive transformation of society.
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But then you sometimes go and you talk to your senior engineering leaders and you're saying,
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okay, How many projects that were on the cutting room floor got moved above the line because of the,
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you know, productivity gains because 25% of our code commits were via cloud code last, last quarter.
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That link is not there yet.
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Right?
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Like you're not, I mean,
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I think maybe implicitly there there's more that is getting shipped,
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but it's, it's, it's very hard to draw a line between one of those stats and okay,
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now we're actually producing like 24,
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5% more useful consumer features.
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And this is the COO of Uber.
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Like this guy has fully committed to this AI kind of adventure.
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In fact, they spent within the first four months,
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their operating year budget for AI.
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Like these people were committed.
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And now after all this,
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they're like, okay, wait, wait, wait, wait, wait.
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Maybe not everything that glitters is gold.
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Perhaps there are some things that we don't really see.
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These implicit features that he was talking about.
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Maybe there's more bug fixes,
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which I'm a little bit dubious on that one.
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But nonetheless, like maybe things have been changing a little bit and now we are shipping a bit faster,
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but there's no material impact.
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What we thought would be these huge,
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gigantic windfalls are, in fact,
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just not showing up in the actual data.
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And this, of course, gets me to the linear CEO post,
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which I really think just nails this whole thing,
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which is we keep hearing about the 10x or the 100x productivity gains in engineering and knowledge work.
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But outside of Model Labs,
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I haven't seen the corresponding 10x to 100x revenue growth across the market or increase in quality.
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Where is the productivity going?
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This is so good because you know where the productivity is going.
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All these people talking about this just incredible increase in productivity,
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what they're really saying?
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They're like, dude, bro, I've just set up the greatest harness ever.
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Oh my gosh, you will not believe how many different versions of Cloud Code I have running.
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Like I got G stack on top of the P stack.
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I got all the stacks going so hard.
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I got TRT coming in hot.
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Like, we're doing everything.
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I'm gonna make the most crazy commits ever.
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Like, I've just spent the last three months sharpening the sword.
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Honestly, it reminds me a lot of NeoVim config enthusiasts.
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Now, remember, back in the day,
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maybe like a year ago to five years ago,
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maybe this guy got made fun of a lot.
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You know why he got made fun of?
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Because, oh, I was always playing around with my NeoVim config.
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I wanted the perfect experience,
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and everyone was like, how could you do that?
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Now, what's, it's, I swear today is just the same story again,
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which is, oh, you know what we really need?
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We need to make the greatest agent harness.
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Like that's what we're actually missing, bro.
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Bro, it's just one more harness and then we'll actually be able to write infinite,
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free, high quality code forever.
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It'll be so fast.
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It'll be so amazing.
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Just one more harness, bro, bro.
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It's just like, I'm almost there.
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My system prompt is like 98%.
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It's just so close.
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Also, I do love the,
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like this line right here,
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because if you really think about what he's saying is,
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hey, it's all the labs.
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They're making like 10 to 100 X more money.
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Where's everybody else's money from all these AI productivity gains, huh?
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Because if everybody really is 10 to 100x more productive,
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wouldn't that show up in a bunch more revenue?
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Kind of crazy that the only people making money are the people selling shovels, huh?
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I mean, they are seeing 10 to 100x revenue.
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Jeez, that seems a little strange, isn't it?
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See, the thing that I think people are missing about this whole AI craze and all that is that,
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sure, there's a bunch of people that go zero to one with AI,
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and they're like, whoa, bro,
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this is the coolest thing ever.
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But there's a bunch of us who want to go,
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say, from 30 to 60, right?
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We're actually in the further part of the project.
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And so what I end up personally doing,
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which is something I do right here,
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is I go off and I talk about everything I want to build to the AI.
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And then I have it implement a bunch of different versions of it.
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And I go, okay, well,
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what if we change this?
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How about we put all the responsibility over here?
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And I can see like five different versions of the exact same thing go, huh?
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Okay, I like this.
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Yeah, I like that.
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Okay, I like this, like,
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it is demonstrably helping me see a bunch of different versions to really understand what makes a good interface,
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but it's not this like 100x improvement.
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I'm not even sure if I'm actually improving the speed in which I'm actually making these features.
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Maybe my understanding is a bit faster.
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Maybe the ideas I'm coming up with are a little bit more solidified.
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But maybe also, just sitting down with a pen
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and piece of paper and drawing out my ideas would have made the exact same impact.
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See, the thing that I think most people are missing people that actually instead building say the zero to one projects, right?
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There's a whole bunch of like flashy kind of shallow projects that people make.
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And they're like, see, yo,
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bro, this is so fantastic.
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No, like trying to make deep,
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integrated products that actually take a long time to think about
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and actually take a long time to come up with good ideas.
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When you use AI, it increasingly makes things more brittle and more difficult.
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No matter what you're doing,
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you have to take a step back and actually work through the problems yourself.
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And this is one thing that I've really appreciated about AI,
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I can come up with an idea,
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I can kind of type out what it should be.
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And then I can say,
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hey, go build me a mock version,
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I can look at the mock version,
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go, okay, yeah, I hate all these parts.
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This is just going to be a nightmare to maintain,
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this is going to be a source of bugs, let's change things up.
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How about you do it this way?
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Then I can look at it again,
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okay, I actually really like how this is looking,
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but I would really like this thing moved over here,
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I'd like this, and then look at it again.
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And so you can see this right here.
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This is me working through how would animations look in an immediate mode UI?
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Well, now I've had three swings at it and I go,
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okay, I actually really like this.
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This actually looks pretty good.
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Now I get to implement the thing.
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And this is what I think we're seeing is that
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when you really use this as a means to actually help you build real software,
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there's still just so much decision making and time spent thinking about how things should actually look that yeah,
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exploration is cheaper than it's ever been before,
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but actual implementation still feels really heavy.
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And if anything, making good decisions now almost feels harder,
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because of how fast you can move.
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Anywho, I just wanted to talk about this for a little bit,
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because I feel like there's just there's so much in our kind of world right now that's it's doom and gloom.
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Or it's just absolute hyping.
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It's like no AI is the worst thing.
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No, that's clear.
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Clearly, that's not real.
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Or B, it's like AI is the greatest thing that has ever existed.
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Also clearly not real.
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Like yes, it is absolutely magic.
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You can describe with practically broken English and have something come out that approximately looks like what you're describing.
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Like honestly, truly, that is a magical human feat.
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I hope that I never stopped being amazed by that because honestly, that's wild.
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You could never have convinced me six years ago,
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like that was going to happen in my immediate future.
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It's just one of the yap about something maybe a bit more positive that,
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hey, actually, I think a lot of good things are still ahead of us.
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I still think we got a lot of good time.
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And I still think competency is actually extremely important in learning how to program and being a good programmer is still,
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in fact, really important.
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Hey, the name is the Primogen.
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Por que praticar a fala com este vídeo?
Praticar a conversação em inglês com vídeos, como este, é uma excelente maneira de melhorar suas habilidades linguísticas. O vídeo "Maybe we were wrong" traz uma análise envolvente sobre o mundo do desenvolvimento de software e suas mudanças recentes, o que proporciona um contexto rico para a prática. Ao ouvir e repetir as falas do orador, você não apenas melhora sua pronúncia, mas também se familiariza com jargões técnicos e expressões idiomáticas. Isso é particularmente benéfico para quem deseja se envolver em indústrias mais técnicas ou de tecnologia. Além disso, a prática de conversação em inglês com vídeos ajuda a aumentar sua confiança ao falar, criando um ambiente onde você pode aprender e errar sem medo.
Gramática e Expressões em Contexto
No vídeo, o orador utiliza várias estruturas e expressões que são relevantes para o contexto. Aqui estão algumas delas:
- "It turns out" - Essa expressão é usada para introduzir uma revelação ou uma nova informação. Ao aprender a usá-la, você pode adicionar fluência às suas conversas.
- "Maybe we were wrong" - Uma construção que sugere uma reflexão, útil para debates ou discussões em inglês. É uma maneira de admitirmos que nossas opiniões podem mudar com novas informações.
- "Look at this just in" - Essa expressão é perfeita para apresentar algo novo e interessante. Incorporá-la ao seu vocabulário pode ajudar em apresentações e conversas informais.
Esses exemplos são fundamentais para quem está buscando aprender inglês com YouTube e aprimorar sua fluência.
Armadilhas Comuns de Pronúncia
Durante o vídeo, existem algumas palavras e frases cujas pronúncias podem ser desafiadoras:
- "Developer" - A pronúncia correta pode ser difícil, certifique-se de enfatizar a segunda sílaba: de-vel-oper.
- "Apocalypse" - Aqui, a ênfase deve estar na penúltima sílaba: a-poc-alipse.
- "Unemployment" - Esta palavra pode ser complicada, o correto é: un-em-ploy-ment.
Praticar a pronúncia dessas palavras ajudará a melhorar a pronúncia em inglês e facilitará sua comunicação eficaz. Incorporar técnicas de shadow speech permite que você imite não só as palavras, mas também a entonação e o ritmo do falante, o que é essencial na prática de conversação em inglês.
Gramática neste vídeo
As estruturas que o falante mais usa, com as palavras exatas do vídeo:
| Estrutura | No vídeo |
|---|---|
| Present perfect continuous have/has been + -ing — uma ação que começou antes e continua | have been changing · have been halving |
| Present perfect have/has + particípio passado — uma ação passada que ainda importa agora | has been · haven't been · you've said |
| Voz passiva be + particípio passado — o foco está no que acontece, não em quem faz | being eliminated · have been told · being forced |
O que é a Técnica de Shadowing?
Shadowing é uma técnica de aprendizado de idiomas com base científica, originalmente desenvolvida para o treinamento de intérpretes profissionais. O método é simples, mas poderoso: você ouve áudio em inglês nativo e repete imediatamente em voz alta — como uma sombra seguindo o falante com 1-2 segundos de atraso. Pesquisas mostram melhora significativa na precisão da pronúncia, entonação, ritmo, sons conectados, compreensão auditiva e fluência na fala.