シャドーイング練習: Maybe we were wrong - 動画で英語スピーキングを学ぶ

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The last couple years of being a developer has been,

you know, I guess kind of interesting, right?

Fellas, I actually have some good news here, okay?

Things have been changing.

Some whispers have been halving and new news is hitting the front lines.

It turns out being a software developer might actually be pretty dang awesome.

Now, if you haven't been in the software development realm for the last three years,

let me do a quick recap for you.

First off, you shouldn't teach your kids to code because honestly,

you should let AI do

that says ai salesman number one you've said ai could wipe out half of all entry-level white-collar jobs

and spike unemployment to 10 to 20 percent in the next one to five years yes

and of course dario here always just giving it to you

straight by the way look at how happy he is he

is answering this question with such alacrity he has never been

more excited to tell you you are about to lose your

job than i've seen any man on earth this guy loves

firing people he loves firing people not even from his own company and

if that's not enough for you of course last year we

had sam altman sam gyppity altman just dropping the death star

the day before big product announcements just letting everybody know hey what we're about to do it's pretty big

and of course this is a very confusing message is he saying he's the bad guys is

that what he's saying is does he release the death star

i'm still confused to this like this post actually eats like

it's an earworm okay it eats me from the inside like

what the hell happened here why why why would you post this

but the thing i wanted to to talk about this this

turning point that's happening is this right here look at this

just in sam altman says ai probably won't trigger the job apocalypse he once predicted not only

that but uber coo now says hey

when you're spending a whole bunch of tokens honestly can't really tie it to features

so there's something just kind of happening in our world there's

some maybe some news realizing how important it is to have competent

and good developers it's like the timeline is almost kind of oddly healing in a way.

So we, of course, we absolutely have to go over this.

I got a lot of yeah.

Okay.

The vindication gap is going to land on this video,

but more importantly, I want to do a quick thank you to the sponsors.

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okay first let's talk about sammy jippity altman right here saying

hey maybe he was wrong here's kind of exactly what he

said this of course is from a commonwealth bank of australia

conference in sydney just last tuesday it says this i don't think we're gonna have the kind of jobs apocalypse

that some of the companies in our space advocate

or talk about by the way i love the fact

that he says advocate like there's actual companies in his space

advocating for everybody to lose their jobs you know who we're

talking about okay you know who sammy boy's talking about he's

not talking about you know minstrel ai the bro's talking about anthropic he's just like yo anthropic

they really want you to lose the jobs here it could

also be to be fair this could also be some sort

of jab at musk as well i can't really tell

but either way very hilarious i thought there was going to

be more impact on entry-level white-collar jobs being eliminated by now

than has actually happened i now think i understand more about why it hasn't

and i'm obviously grateful but

that is an area where my intuitions were just off we

really do care about our interactions with people he added

which he said for better or for worse updated me to thinking

that the jobs picture is likely going to be very different

than we thought okay whoopsie poopsie turns out maybe people like to talk to people

and interact with people

and building great products actually turns out maybe just might take people might take people to do

that huh crazy i i just thought we were gonna get

metered intelligence i thought i thought you stole the internet took

everything compressed it down into the sweet next token prediction

and then sell us back to us and then we pay for it

and it's just like that

and that's how the world works of course sam's actually not

the only one goldman sachs ceo david m solomon says

that ai won't eliminate 25 of the jobs he's just saying

hey it turns out people will spend their time in more productive ways

and he makes some cases down here saying hey did like any other technology ever do this

and what we're observing is not true in the data

so this is actually kind of a positive development i'm actually

pretty excited about this i would love to see things actually

healing from this craze where you have all these ceos

that have been told for the last two years of these

companies like no bro bro i'm just letting you know you

gotta just like dude just like fire everybody you don't need them

because you got ass dude you got open claw open claw

is gonna do everything you just say yo million dollar sass no mistakes

and bam in just a few minutes crunching some clod four points actually 4.6 4.7 is kind of

you're gonna have yourself a million dollar sass.

I am so happy that this is starting to crumble

because this is something that has needed to crumble now for a while because it is ridiculous.

There is so many people right now that at their jobs are being forced to like a certain level of AI output.

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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文脈と背景

このビデオのスピーカーは、ソフトウェア開発者としてのキャリアと、その変化について語っています。特に、人工知能（AI）の技術が進化する中で、開発者の役割がどのように変わるのか、また、AIの進化が雇用に与える影響について言及しています。今後のソフトウェア開発の未来について、希望の兆しも感じられる内容が展開されています。

日常的なコミュニケーションに役立つフレーズトップ5

Things have been changing.（状況が変わってきています。）
AI could wipe out half of all entry-level jobs.（AIが入門レベルの仕事を半分消し去る可能性があります。）
This is a confusing message.（これは混乱を招くメッセージです。）
Look at how happy he is.（彼がどれだけ幸せそうか見てください。）
It's pretty big.（これは非常に重要です。）

段階的シャドーイングガイド

英語の発音を良くするためには、シャドースピーチや英語シャドーイングの技術を活用することが非常に効果的です。このビデオの内容を利用して、シャドーイング練習を行いましょう。以下はそのステップバイステップのガイドです。

第1ステップ：ビデオを視聴し、全体の内容を理解します。初回は耳を傾けることに集中し、内容を把握しましょう。
第2ステップ：特に気に入ったフレーズをリストアップし、それぞれの発音を注意深く聴きます。上記のフレーズを活用して、それぞれの音に耳を慣らします。
第3ステップ：フレーズを一つずつ繰り返し、音声をシャドーイングします。この際、リズムやイントネーションに注意を払うことが大切です。
第4ステップ：録音機能を使って、自分の声を録音します。聴き返すことで、発音や抑揚の改善点を見つけましょう。
第5ステップ：友人や先生に自分の発音を聞いてもらい、フィードバックをもらいます。このコミュニケーションの時間も、IELTS スピーキング対策として非常に重要です。

このようなシャドーイングの練習を重ねることで、英語の流暢さが向上し、日常会話でも自信を持って話せるようになります。さらに、自分に合った学習法を見つけることで、英語をもっと楽しく身につけることができるでしょう。

この動画の文法

話し手がよく使っている文型を、動画の実際の表現とともに紹介します。

文型	動画での表現
現在完了進行形 have/has been + -ing — 以前に始まり今も続いている動作	have been changing · have been halving
現在完了形 have/has + 過去分詞 — 過去の出来事が今も関係している	has been · haven't been · you've said
受動態 be + 過去分詞 — 誰がするかより、何が起きるかに焦点を当てる	being eliminated · have been told · being forced

シャドーイングとは？英語上達に効果的な理由

シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。

シャドーイングのやり方: ステップ別の完全ガイドを読む →

シャドーイング練習: Maybe we were wrong - 動画で英語スピーキングを学ぶ

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文脈と背景

日常的なコミュニケーションに役立つフレーズトップ5

段階的シャドーイングガイド

この動画の文法

シャドーイングとは？英語上達に効果的な理由