跟讀練習: Codex Is Winning… So Why Am I Still Paying for Claude? - 通過影片學習英語口語

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The last two weeks in the world of AI agents have been very interesting.

Mark Zuckerberg and Meta released their new coding agent, MuseCode, to rival ClaudeCode and Codex.

And you can use MuseCode in the terminal to build apps or as a general agent.

And it only takes two minutes to set up.

I'll show you how.

But we have way more to talk about, like DeepSeat, Kimmy, and Quen, and more models coming out of China.

We also need to talk about Codex latest updates.

We also need to talk about Cursor

and how they're shifting from a developer tool to a super app just like Claude and Codex.

We will also discuss Google and how they might actually be out of the AI race.

And we need to talk about Buzz for creating teams of agents and all of the new updates there.

This is an agent-native update where we cover the most important news

and updates on Frontier AI platforms and models so you can use AI agents to be more productive.

I'm Riley Brown.

Let's go.

The first agent-native update comes from Meta, which is very rare.

They don't usually do that many things on the frontier.

But here we go.

Mark Zuckerberg on Twitter said, releasing MuseCode in beta today.

It's a terminal coding agent that takes on complete software engineering tasks across large repos,

planning changes, writing code, validating the results powered by MuseSpark 1.2, the model, a coding-focused model update.

And based on the benchmarks that he posted, it's right in between Opus and GPT 5.6 Terra, which is their middle model between Sol and Luna.

You can see Muse Spark 1.2.

So here are the prices of the meta model compared to 5.6 Sol and Claude Opus.

And if you add up the input cost and the output cost, you get $35 input plus output for GPT 5.6

and for opus you get 30 dollars

and for meta muse spark with the top model on there It's only five dollars and fifty cents.

So that's a total difference of like five to six x

So it's significantly cheaper than using the top models at open AI

Now when you start comparing it to open AI's GPT 5.6 Terra it gets pretty comparable

Which we'll talk about later because open AI is lowering the prices of their other model But always remember,

every single update that I talk about is best understood by actually testing it out, not just looking at some charts.

So now, how do we actually use MuseCode?

It's very simple.

What you should do is you should go to either ClaudeCode or Codex.

If you watch my videos, you know that I use Codex a lot more.

And I'm just going to go to Codex and say, hello there, Codex.

Can you please download the latest MuseCode by Meta?

Mark Zuckerberg announced it yesterday.

the terminal coding agent, please download it now so I can use it in my terminal.

So all we have to do is run this

and we will wait a few seconds and it's going to download it to our computer.

Okay, so now it's done.

And remember, this is a terminal coding agent, so you can run this in the terminal.

I can either go to the terminal app on my computer, or if I'm using the Codex app or ChatGPT on the Codex version,

I can press Command-J and this is the terminal.

And now I can type in Muse.

And now I need to select Trust and Continue or Quit.

I'm going to click Trust and Continue.

And here we can either log in with browser or set an API key.

And so we're logging into Meta Platform.

And so if I click Login with browser, it'll automatically take me to the browser and here I can actually just sign in with Meta.

Once you sign in, it'll look a lot like this, and now we can just use MuseCode.

So I can say, hello, what model are you?

And here it says, I am MuseCode powered by Meta Muse Spark.

And in order to use this going forward, I normally just do it inside the terminal, the normal terminal, and we can zoom in, and remember all you do is type Muse,

and now you're using it inside the terminal and you can full screen it if you want.

I'm going to say, hey, I want you to create a bowling simulator game.

Like it should be like Wii bowling.

I want you to make a Wii bowling and then I want you to run it locally so I can play it.

Now we're creating Wii bowling.

And I highly recommend just testing this out for yourself.

Do it for knowledge work tasks, get it to create documents, spreadsheets, that type of thing.

And this model is really fast.

And in my opinion, it's somewhere between Opus and Sonnet.

By default, it will tell you something like this sandbox blocks persistent servers.

So we actually need this to be in YOLO mode to

get it to automatically be able to run terminal commands so that it can run whatever app that you create.

And we can do this by going to Codex.

And we can open Codex and we can say something like this.

I need you to set it so that Muse code always defaults to YOLO mode.

Please just do that right now for every session.

And this will allow your MuseCode to do anything you want or do anything on your computer.

So you won't have to like give weird permissions.

And then after you do that, if you were to open up a new terminal session by pressing Command N,

and you were to type in MuseCode, here you can see you are on YOLO mode.

So now MuseCode has full control over everything and you can get it to do everything.

And so now I want to check on that bowling game.

And okay, so this is the game that it created.

We have bowling and we can up the spin.

So this will spin it left, which means I need to aim it like here.

Oh.

Okay.

Maybe I won't do spin.

There you go.

So we're using Muse Code.

This isn't the greatest game ever created, but that's probably a problem of prompting.

I just wanted to empower you with the ability to test it.

It's really easy to test out.

I highly recommend testing out the new meta terminal coding agent.

Okay for the second agent native update I want to talk about the changes to codecs over the past two weeks.

We're going to come to the mobile app in just a second.

Let's start off with the desktop app.

In the desktop app we have a few new changes.

In the side panel over here you'll see

that we have the normal view right here where i can see all of my chats

but there's also this notifications bar and

so this is kind of the activity pane

so instead of them showing in this like fixed project view right here it'll show you the most recent ones

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and it's really intuitive to use and it'll show you the exact folder

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that they're running in as well

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so you can see where the directory is on your computer

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so this is just kind of feels a lot more like notifications

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and it shows the most recent one that completed which I personally use most of the time.

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Okay for the second update to the desktop app

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which is my favorite design update

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that they've made in a very long time involves the in-app browser

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and so I in this chat created a website and

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so this is a website it's kind of ugly but that's okay

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and if we were to full screen it so that the agent chat disappears.

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Now they updated this bottom part right here.

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So I can fully, I can click on this

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and it opens up and I can very easily say like the line that goes beneath episodes.

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I don't really like that very much.

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Can you also please make the like dark purple behind the logo at the top better?

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The whole top bar is pretty ugly.

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Can you please fix that?

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And so I can just run it right here

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and it's really easy to see what the agent is doing and then I can pin it to the bottom.

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So you can see here if I scroll down to the bottom, I see this little ChatGPT logo and now I can open it up and I can get rid of it.

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So it allows me to fully immerse myself in the website, right?

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This is basically full screen and if I ever want to make changes, I just come down to the bottom, press this OpenAI thing right here.

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Now, what I do want to let you know is if you use Whisperflow, it will get in the way of this.

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So as you can see here, I moved Whisperflow to the right side of my screen.

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And if you have Whisperflow, see how it gets in the way?

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So what you need to do is you need to come over Whisperflow

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and just drag it to the left or to the right.

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And I choose to put it on the right.

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So now I can use Whisperflow.

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Whisperflow is right here.

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And the OpenAI edit is here.

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And you can notice here that browser use is coming into play and it's actually controlling the browser.

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So that's just a fun new design of the in-app browser inside Codex.

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While staying on the topic of browsers, they also made updates to their Chrome extension.

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And you can find this in plugins.

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And if you just type in Chrome and you come here and you download this, when you go to your Chrome browser,

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you will see this ChatGPT icon and you can move it to the front slot if you really like it.

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And now what we can do is we can select this, and we can just say,

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please prepare a tweet based on the recent memories that you have of me based on what we did today.

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Come up with the best possible tweet.

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And I can fire this off, control this browser, and make the tweet, but don't post it, just queue it up.

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And so all of the chats that you do inside this Chrome extension sync with the Codex app.

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So you can see this is called draft tweet from today.

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I can very easily just go to chat GPT.

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If we go to chat GPT, you can see that it says draft tweet from today.

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And so we are connected to Chrome.

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And so here it actually queued it up.

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Okay.

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So the biggest AI shift isn't better answers.

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It's agency.

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Okay.

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Well, we need to work on the tweet, but it queued it up.

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And if you want to open it straight inside Codex from here, all you need to do is go here you're going to hit these three dots

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and click open in app and you're going to open chat gpt

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and that will automatically open it directly inside the app

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so you can basically just use the codex app inside chrome

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and this is just a nice new update okay for the

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last update involving chat gpt we have a new toggle here at the top

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so now you can toggle between chat and work i just released

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or i might be just about to release an hour-long video on chat gpt work it is the most in-depth guide ever.

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I was wrong about Codex.

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I said that I wish they didn't split up Codex and GPT work.

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I was wrong.

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GPT work is insanely useful.

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It's completely cloud-based and I use it every day.

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So I highly recommend starting to use this from your phone.

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You can basically control your email calendar.

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All of the plugins that you would find inside the chat GPT app,

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right up here, you can basically fully control with GPT work.

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So all of the apps you add, you can fully control from your phone, which is just incredibly useful.

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And then after this update, it's just more accessible here at the top between chat and work.

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I hardly ever use chat anymore.

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I just use work.

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For the next agent native update, I want to talk about this tweet.

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ChatGPT desktop app, or formerly known as Codex, their biggest competitor right now is Cursor, not Claw Desktop.

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And the reason I tweeted this is I have it on good authority.

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I've talked to some people and Cursor is in a middle of a revamp.

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They are about to make major changes to their platform

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and it is going to become a full super app just like Codex.

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And the first signs that we're seeing of this is you can now connect Cursor to Google Workspace.

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This is their CTO at Cursor.

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Everyone thinks of Cursor as a tool for coding.

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We thought so too.

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But inside the company, many of our use cases aren't coding at all.

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Research, data analysts, bug triage, and project management, just to name a few.

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As it turns out, coding agents are a pretty good foundation for all kinds of work.

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Could be a sign of what's to come.

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So very clearly, they're going to make changes to their platform.

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Inside Cursor, you will see this Customize tab.

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This is equivalent to the Plugins tab inside Codex.

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And if you come to the top and you just type in Google Drive, you will see this Google Drive setup here.

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I've already set it up, so you will need to authenticate it.

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But once you authenticate it, which just means sign into your Google Drive files, you can then try it in chat.

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Here, I have Cursor set up to the new DeepSeq V4 model.

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And so now this model is basically free to use.

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I'm not even kidding.

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And so I'm going to go ahead and stop this and I'm going to say,

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hey, can you please create a quick spreadsheet on just the steps on how to train an AI model, along with the description on how to do it,

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make it look professional, and then send me the link to the Google Sheets for this.

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So now I'm using DeepSeek V4 Flash, the cheapest model in the world by DeepSeek.

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It's like basically free to do this, maybe a cent or two.

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And it will create a Google Sheets link.

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And now it's working inside cursor.

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And there you go.

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It says done.

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Your Google Sheet is created and ready.

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It worked for 44 seconds.

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So it's really fast.

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I can open this up and boom, here we go.

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The point is, is it can control Google Docs, Google Sheets, Google Slides, anything.

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And you can use a better model than Deep Seek V4 if you want, but that's just the one that I've been using for fun.

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And for the fourth Agent Native update, we have three new models coming out of China.

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We have Kimi K3, we have Deep Seek V4 Flash, and we also have Quen 3.8 Max.

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And these models are all good in their own way.

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Kimi K3 is the best out of all three of the new models, but it's also the most expensive.

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I think many people were really excited by how good the model was, but they were underwhelmed by the price.

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It is quite expensive.

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It's like almost as expensive as Sonnet for certain tasks, but I highly recommend trying it out.

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Then, DeepSeek V4 Flash is probably the most interesting,

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because for certain tasks, it is 105 times more cheap than Fable 5.

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And don't worry, I'll show you how to get this model set up inside

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Cursor in just a second as well as all the other models.

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But I do want you to keep in mind that regarding this DeepSeek v4 Flash model, which is really good for how expensive it is or how cheap it is.

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They said this, DeepSeek said this, they said, we plan to raise the overall pricing for DeepSeek API services in the near future with a significant increase expected.

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Please plan your usage accordingly.

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So that's not good.

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Many people are like, oh no, how expensive is it going to be?

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However, Dax from OpenCode said on the upcoming DeepSeek price increase, we've been able to reproduce their current prices even on rented GPUs.

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So this likely isn't because they're losing money.

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It's traffic shaping because they're overloaded.

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So he's saying

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that we're going to be able to host this DeepSeek model in the US for a similar price that it is now.

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They're saying that the price increase is just because so many people around the globe are trying to use it.

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Klein posted this about DeepSeek v4 Flash.

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While DeepSeek v4 Flash is significantly cheaper on price per token,

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this could be misleading if the overall cost per task ends up being higher due to more turns being made.

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However, Artificial Analysis reports DeepSeek completing the same benchmark tasks as Fable at 105 times lower cost,

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which is absolutely insane.

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So my take on this is as follows.

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I believe that DeepSeek v4 Flash may get more expensive in the future.

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Maybe it'll get three times as expensive.

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Maybe it'll get five times as expensive in the short run

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because there's so much traffic and so much demand for this model.

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But I think over the long run, like over the next two months, this model will get significantly cheaper

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or a model just as good as it will get as cheap as the model is now.

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And so for the next week or two, I highly recommend trying these models.

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The truth of the matter is, every few weeks, new open models are released, and the costs are simply going down.

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And so, you can do so much with a model just as simple as V4 Flash.

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A lot of tasks you can do, and this model is 20 to 100 times cheaper, depending on the task, than Fable.

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So, I highly recommend testing out these models and seeing what you can do with them.

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For the next Agent Native update, I want to talk about Anthropic.

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And there's a vibe going around Twitter and even on YouTube that people are getting a little fed up with Anthropic.

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Not only is Fable only on API usage now, so it's incredibly expensive to use Fable,

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many people are showing disappointment surrounding their new models, Opus 5 and Sonnet 5, and that they completely wasted time building them.

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And I'm not kidding.

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A lot of people, you know, AI researchers, are literally saying that Opus 5 sucks.

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John Ennis said that, But I have decided Opus 5, Extra High, is basically trash.

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It doesn't use its thinking budget to do anything more productive.

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It just uses it to thrash around and do pointless and sometimes harmful things.

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Fable is a good model and I will miss it, but I think I'm finally ready to just let Claude go.

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Or at least until they release a new model.

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And I think finally more people are realizing that the vibe is shifting from Anthropic to Codex.

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Again, at least for now.

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Kamal Hussein said, It's crazy how the consensus shifted away from Claude being the favorite to Codex.

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It's not just Fibes, things favoring Codex.

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It's a better harness.

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The Codex desktop is significantly better.

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Better pricing, especially with the latest pricing updates to the new Codex models.

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Less refusals, and you can use your subscription freely wherever you want, which is really cool.

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Anthropic has a lot more guards against using your subscription on other tools.

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However, I just tweeted this.

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However, I just tweeted this prediction.

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Anthropic is pulling back the slingshot and will try to go on another run soon.

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I think they got high on their momentum from Q1

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and Q2 and tried to launch too many things and their products got confusing and their momentum wore off.

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And they just launched so many different products that people couldn't even keep track of everything.

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Like when you tried to use Claude Cowork and connect it to your phone, it was called dispatch.

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But if you did the same thing with Claude Code, it was called Claude Remote.

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They released a Law product, they released Claude Design, which is a good product.

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It just got buried under all the different product announcements.

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They had an extension, and then they had the whole Mythos, Fiasco, Fable, Sonnet, Opus.

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And honestly, their model releases, besides Fable, just haven't been that good since Claude 4.6.

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All of them have felt relatively similar.

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However, there's one thing that just keeps me using Anthropix products, and that is the fact that it is just so much better at frontend.

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I gave Codex and Anthropix the same prompt, and this is what Codex created,

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and it's just so much worse than Anthropix.

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It is just so much better at frontend.

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And this is not just like frontend for landing pages and other things like that.

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It's also for spreadsheets, docs, and presentations.

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Opus and Fable blows the OpenAI models out of the water for these like knowledge work type documents and front-end design.

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For everything else, I think GPT 5.6 Soul is basically as good as Fable.

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It's just so much better at front-end design

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and it created this in one prompt and I just think it looks so good.

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Like this is, I'm working on my website for Agent Native and it's just so much better.

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So this is the one thing that keeps me using the Claw Desktop app.

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It's just better at design.

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And don't forget that the Claw Desktop app, if you go to home, there is design mode.

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So you can use Claw Design directly inside the desktop app.

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It's just they've launched so many things that so many people forget about Claw Design, and it's still really good.

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And the final thing that I want to discuss is I believe

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that we are entering a new era in the world of agents.

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I think the first half of the year was kind of the open claw personal agent movement.

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And I believe that we're moving into the team of AI agent movement.

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Now, I've already made a video talking about Buzz.

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And so this is Jack Dorsey's new platform where it is a Slack clone, basically, except it's made to be used with AI agents.

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These are my existing codecs and clawed code running in this Slack-like interface

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and I can at mention Claude and I can at mention Codex and say,

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hey, work together to build an app that lets me use DeepSeq.

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And you can at mention them and you'll notice here that they both reacted to it.

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You can see Codex and Claude Code reacted to it.

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And now you can see that they're both working on a response.

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CloudCode and Codex are going to respond.

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And I can message them as if they were just humans.

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And they will actually work together to get it done.

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And if you come to the agents tab, you can see your full team of AI agents.

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And you can add Cursor.

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You can add Devin.

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And you can make any model the default model.

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So I could come here and create an agent.

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And I could customize the agent and I could use cursor for example

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and I could choose any model from cursor

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and for this I'm actually going to go ahead

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and make the default model Kimmy K3

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so now we're using Kimmy K3 with cursor

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and I can give it instructions you are a content agent

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and I can very easily name this agent cursor with Kimmy

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and I can create an agent and now this agent is running

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And so I could very easily go into my content channel and I could add, or I could actually just go like this.

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Hey, Codex, please add Cursor with Kimmy to this channel and all other channels.

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And Codex or any other agent can fully control this version of Slack.

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And so it can add any agent to any channel, and it can even create agents.

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And here at the bottom, you can see who's working.

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So I can see that Codex is working.

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And you can see that CursorWithKimmy is requesting approval.

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And this is just kind of a team of agents that can do things together.

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And you can see here CW, which is CursorWithKimmy, just responded.

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And it said, I handled it myself.

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I joined all seven channels, content, Vishal, coding, general research management, and notes.

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And the reason I'm showing you this is I believe we're

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in the very early innings of working with the team of AI agents.

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It's not super easy yet.

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The same way that OpenClaw wasn't very easy early on, and now GPT work is basically OpenClaw running inside chat GPT, and it can basically do anything for you.

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And so I think we've advanced really far on the personal agent side, which is advancing these AI agents that we can access through our phones.

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I think we're about to see the AI agent for teams really take shape over the next four to six months.

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So definitely be on the lookout.

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And as this progresses, I highly recommend

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if you work at a large company to be the person

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who can build a team of agents for your team

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or create an agent that everyone on your team can access to get things done.

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And I think we're going to see so many platforms like this.

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We're going to see a lot more Slack agents that make agents really easy to configure.

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And so that's something I would keep a close eye on.

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Anyway, that's an update.

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Those are the things that have really interested me over the past two weeks.

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I really hope you like this video.

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And if you could like and subscribe, it would help me out a ton.

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I really appreciate you guys.

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I will see you here for the next video.

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FOR YOU

本節課學習內容

通過觀看這段關於AI程式設計工具的影片，你將練習聽懂科技領域的英語表達，學習如何描述軟體更新、工具使用及價格對比。同時，你還能通過影子跟讀（shadow speak）提升口語流暢度，模仿自然的說話節奏，為雅思口語練習或日常英語交流打下基礎。

核心詞彙與短語

coding agent：程式設計代理（指能自動完成編碼任務的AI工具）
terminal：終端（計算機操作介面）
benchmark：基準（用於比較模型效能的標準）
API key：應用程式程式設計介面金鑰（用於驗證使用者身份的程式碼）
repo (repository)：程式碼倉庫（儲存程式碼的地方）
lower the prices：降價（描述價格調整）

練習技巧

看YouTube學英語是提升聽力和口語的有效方式，這段影片語速中等，語氣偏向說明性，適合影子跟讀練習。以下是具體建議：

1. 先完整聽一遍影片，關注整體內容。影片中提到多個AI工具（如MuseCode、Codex），注意它們的發音和上下文含義。

2. 進行影子跟讀時，滯後原音1-2秒，模仿說話人的語調與重音。例如，說到“significantly cheaper”時，加重“significantly”以突出價格差異，這有助於提高英語發音的自然度。

3. 針對影片中較長的句子（如“it's a terminal coding agent that takes on complete software engineering tasks...”），可拆分練習。先跟讀短語，再串聯成句，逐步提升口語流暢性，這對雅思口語練習也很有幫助。

4. 重複練習關鍵段落，如工具安裝步驟（“go to Codex... run this... wait a few seconds”），強化對科技英語表達的掌握，同時熟悉日常操作類對話的結構。

通過持續練習，你能更好地理解科技領域的英語表達，同時提升聽力和口語能力。

影片中的語法

說話人最常用的結構，並附上影片中的原話：

結構	影片中的用法
條件句 if + 從句，will/would + 動詞 — 條件及其結果	if I click Login with browser, it'll automatically · if you use Whisperflow, it will get
現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事	have been · they've made · I've talked
被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的	is run · is called · are connected
定語從句 who / which + 從句 — 補充說明人或事物	Meta, which is · Terra, which is · left, which means

什麼是跟讀法？

跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。

影子跟讀法: 閱讀完整分步指南 →

跟讀練習: Codex Is Winning… So Why Am I Still Paying for Claude? - 通過影片學習英語口語

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本節課學習內容

核心詞彙與短語

練習技巧

影片中的語法

什麼是跟讀法？