쉐도잉 연습: I Tested OpenAI's Dots vs. Meta's Muse. What You Need to Know. - 영상으로 영어 말하기 배우기

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Today, I'm going to be comparing OpenAI's Dots and Meta's Muse on things like their features, their functionality, and their feel.

Also talk about pricing and where I think these apps are headed so you can use your time wisely.

And of course, I don't want to waste any more of your time.

So let's hop right in.

Okay, so we have Meta's Muse, which quickly became the number one app in the Apple App Store.

And then of course, we have ChatGBT's Dots.

Now my immediate reaction when I got in here

and started playing around with Dots is

that it felt like a bit of a rushed project to try to catch up

because they saw how muse was taking over

and they realized we have a better model

and you know we already have a lot of people inside

of our chat gpt ecosystem let's give them essentially what muse is

but in our ecosystem

and it just feels super rushed you can see even during dev day yesterday

when they announced this you know new product it literally failed

it you know she was trying to call it here

and it just wasn't responding and it was taking forever

and she ended up saying you know oh i think dotty

or whatever the name is it's having a slow day

and they ended up like just kind of pushing past it

but they like muted it on the live stream so everyone

that was there live in person saw the live demo they both have the ability to name your little muse

or your dots

and you can customize it a little bit as you can

see same exact thing here inside of the chat gbt

or the codex desktop app where i'm able to access my dot right here now the first thing

that surprised me was i was expecting dots to be more

of a grok bot feeling app where we would have a bunch of different bots

that we could create and we can have them talk to each other.

But this is way more like Muse, where it's kind of one thread or one agent

that you're talking to that kind of helps with everything on a personal level.

So we will look at the UI and we'll compare the differences and we'll talk about which one I like more.

But first, let's just talk about some of the foundational stuff.

So background work.

These are both persistent cloud agents that can have schedules and you can have conversations with, and they both have their own cloud computer.

The model powering dots right now is GBD6 Astra, and the model powering Muse is Muse Spark 1 .3.

I'll talk a little bit more about the differences between those models later in the video.

As far as the existing work setup, you already have a direct connection in Dots to ChatGPT work

and codecs if you have the desktop app and if you just allow access.

As far as Muse, it has its own computer and tools and they both have a really good connector ecosystem.

So kind of like the super simple single sign -on, just connect with a button rather than having to do a bunch of API keys and things like that.

And because they both have their own computers, they still can run scripts and you still could connect to APIs that might not have a native connector quite yet.

They can both create documents, presentations, interactive dashboards.

They can create all of that and keep them in the ecosystem.

As you can see here, if I go to my library inside of Muse, I can see these different artifacts, whether that be a document or whether it be more of a live dashboard web artifact.

And then inside of my dots, you can see that there's a bunch of ways that we can see the outputs here, whether those be markdown files or dashboards and other things, of course, especially because with dots,

your memory will start with your ChatGBT memory, and then it will start to develop its own context and learn over time.

So right away, my dot was connected to all my ChatGBT memory, and it was saying, oh, you know, you run this business, and you use N8N every day, and you do this.

And I was like, okay, that's really old memory.

That's ChatGBT memory.

Let me plug you into my actual local files

and my codex memory so that you have more real -time data of what I'm actually doing and what are my priorities.

But what I really like about Muse is in here, for the average person, let's say you're coming in here and you click on your Muse, mine is named Charlie in this case,

there's a little identity tab over here where we can see the soul file and the memory file.

So the memory file, we can actually like edit things.

This is like facts and preferences and commitments like that.

And then if we go back over here and we go to the soul, this is like Muse's persona.

So, you know, if you have built a Hermes agent in the past

or OpenClaw and you've kind of worked with these memory and soul files, you will be familiar.

But even if you're not, it just makes it super easy and visual because you can just sort of see it from this interface.

Whereas with Dots, it's a little bit more abstract as far as how it's understanding memory

and you don't have as much to do with sort of like the profile.

I don't know why that looks super pixelated right now, but overall, I'd say like the Muse interface is just a better experience, especially if you're thinking of someone who's non -technical.

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Let's get back to the video.

Now here's another difference.

With communication, you can obviously do this stuff from your phone.

You can use the Muse app or the ChatGPT app to talk to your dot or to your Muse.

With the dots, you can instantly integrate them into Slack, which is pretty cool.

So this was literally like a three -click setup where i added this app into my slack

so now i could chat with my actual dot right here

and it would go ahead and respond if i open up the desktop app real quick you can see in here

that you can see that it's thinking.

So you see the top, it says thinking, there's a little light bulb, and then in my Slack, that's how it's gonna respond.

But then also, inside of a channel, I could have it talk to me in here by inviting it to a channel, so your team could actually message your dot, which I think is pretty cool.

And once again, you can respond in here, and it will show in the app that it has received this message, that it's thinking, and that it's trying to reply inside of that thread.

And as you can see now, it is thinking, and then it's going to shoot a message back into the thread right there.

It said, hey, I'm here.

So that is pretty cool.

But with Muse, what you can do is you have a bunch of different chats you can manage.

So you've got your main chat, and then you can set up different side chats for different topics.

And you also have a native WhatsApp connector, which is pretty cool.

So on the app in Muse, this is view only.

So what I would do is inside of my WhatsApp, whether I'm on my desktop or I'm on my phone, I can just say, hey, how are you today?

And this obviously is Charlie, my Muse responding in real time.

And then in the Muse app, I would be able to see this interaction, but not respond in here.

So it's a separate thread as far as my main chat, my WhatsApp channel, and then these side chats.

And then what else is very interesting is the ecosystem.

So because Dots is already integrated into Codex and ChatGPT, if you are already living heavily in Codex and ChatGPT,

then Dots probably makes more sense at least right away when you wanna figure out what this feels like.

But with Muse, it has some of these, you know, like the meta ecosystem.

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So Instagram, Facebook, Facebook Marketplace, and it just feels a little bit more, you know, detached from like this coding stuff.

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Anyways, that's just a very quick rundown we're going to dive into some more stuff here

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but overall after playing with these each for about a day this is how i feel

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if i could just sum it up dots fits your current work environment

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if you're using codex htbt it can use local skills it

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doesn't feel like you're kind of starting over explaining a lot of things like priorities

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and things like that and it offers a direct route into codex

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and slack whereas muse is much easier to evaluate for free

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because you can get started on this for free it's inexpensive paid entry editable memory whatsapp access strong meta integration overall.

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Like if I wanted to have my parents or people that I know that aren't technical at all, I would probably recommend Muse.

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It just has a better experience.

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And when you talk about this actual pricing on the Muse Free, you can get up to 100 million tokens a week and you can get started.

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Like I haven't yet paid for Muse.

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And then you can get on subscriptions and you can increase your tokens.

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Whereas in ChatGPT with dots, you have to be on a paid subscription in order to actually get access to building your first dot.

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Now there's something out about right now they're not actually attributing your dot usage to your weekly subscription

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but i think that's just to sort of build some i guess adoption inside

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and then they're definitely going to have

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that ding against your subscription now also right now we talked about how muse is powered by spark

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and dots is powered by astra

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so let's talk a little bit about these models here's some rough benchmarks astra is a little bit more intelligent

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but when we think about like professional work

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and knowledge work spark doesn't do bad at all

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so creating some of these documents and helping you with some of these routine tasks and figuring out how to unblock yourself, things like that.

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Now, when it comes to building apps and software and automations, obviously, Ash is going to be a bunch better.

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With coding, it's going to be a lot better.

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But Muse is also going to be a little bit faster.

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So I guess what I'm trying to say here is

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if I was building a bunch of little automations and scripts

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that I wanted to run and things like that and dashboards with one of these tools, I'd probably choose Dots.

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But like I said, for general knowledge work, and if I'm just using this kind of as an assistant to help me keep on track, manage emails, remind me of things, manage the team, I would probably be pretty comfortable using Spark.

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So let me just show you, I've said quite a few times that I think the interface of Muse and the experience of Muse is just better.

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Let me show you why.

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Inside of Muse, you obviously come in here and you create one thread.

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So with GrokBot, it can be a little intimidating to people because there's the ability to keep creating more bots, but here you just create one bot.

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Now, what you see right here is you see today.

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You see things that have been worked on by date.

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You also click on this next tab, which is approvals, if there's anything for you to approve.

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So super nice, easy interface to approve things if you've got a bunch of automations running.

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You have a schedule tab.

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So you can see here are your reminders.

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You can see here are things that are running.

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You can even check in on the heartbeat that runs every 30 minutes.

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And the heartbeat will proactively look at your Google Docs and your email, and it will give you alerts about things.

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And it will even give you reminders like, hey, use me, set this up.

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You know, like it just feels like it's more user -friendly there.

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And then of course you have the identity of looking at things like your soul and memory.

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Now also you'll notice on the left -hand side, we can search.

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So we can search through a bunch of different chats to figure out, oh, I was talking about this with Muse, where'd that go?

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You can also look at your different chats, like I talked about.

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You can manage them here, which I really liked, because it's not as overwhelming as having to build a bunch of different bots.

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It's more like, oh, you can have a couple side chats

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if you have one very specific project that you want my help with.

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Otherwise, use the main chat, and here's the channel that you've connected me to.

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And this is plural.

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So what I'm assuming is they're going to start to add more, probably Slack, probably Teams, Discord, things like that.

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A lot of times I hear from people, okay, if I was to use AI, what would I even use it for?

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Well, Muse does a good job of like giving you ideas.

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You can set goals, which I think is really cool.

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Optimize my sleep, health goals, relationship goals, career goals, interest goals.

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You can come in here and look for ideas.

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It'll tell you what it should be thinking about

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and how you should be kicking off like these different automations and things like that.

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building artifacts.

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It's really, really cool.

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And then if you go to the feed, you can see that you can actually customize what you want to see.

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You can see things about sleep, because I've been talking about sleep.

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You can look at OpenAI.

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You can look at all these different things.

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And if you like this, you can discuss it.

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And you can just shoot off a task to your muse to say, hey, can we dig into this a little bit more?

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Build me an artifact for this.

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Let's chat about this, whatever.

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You can also like things, which is going to change the algorithm to give you more things that are actually relevant to you in your feed.

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I think this is a really cool experience.

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And then if I go to my artifacts, you can see that I have, you know, all of these here documents or web We can also create images.

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We can create videos and then you can create podcasts, which I think is really cool

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So maybe you want to turn your feed daily tech news into a morning podcast a three -minute morning podcast

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Or you want a weekly podcast on what your team accomplished this week

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or how your workouts were this week This is very very cool

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and something that I think like average people getting into this whole ai stuff They'll think that this stuff is much cooler.

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Then if we go into dots, the interface just is not good.

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It feels rushed.

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It feels very simple.

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The one thing I think that it has nice, which Muse doesn't have, is that you can call it.

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So you can call your dot, which is actually the thing that I showed earlier, which failed during the actual Dev Day launch.

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But you can call it.

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You can talk to it.

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It will respond in real time.

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It's pretty good voice.

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It's pretty, like the latency isn't bad at all.

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They both have their own computers, as you can see.

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And this saves logins.

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So very similar to GrokBot where you can save logins.

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You can look at the actual sort of like terminal and you can also create and save files in here as well.

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This is how you set up that Slack connection.

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And then you can also review recent activity.

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It's not very easy to manage your scheduled tasks inside of Dots.

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As you can see, here's one, right?

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Plan tomorrow.

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And this is a repeat daily task at 8 p .m.

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Central.

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We have some advanced settings as well.

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But I was asking Dots, I was like, how do I actually manage this stuff?

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And it was like, oh, click on my profile and go to scheduled.

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There's no scheduled in here.

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I guess the way you do it is you go to your scheduled tasks as

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if you were looking at like your codex scheduled tasks or your ChatGPT work scheduled tasks, and you can see them in here.

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But why would you not be able to manage your scheduled tasks inside of the dots interface?

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I thought that was just a little bit bizarre.

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And it also was telling me that it was really good at managing my codex threads, which was cool, but it really doesn't do it.

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Here you can see I was like, oh, okay, so you're kicking off new threads and it's just appearing in my recents.

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It's not actually putting it inside my Herc 2.

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So I obviously like to manage my threads right in here in my Herc 2 project, but it would kick them off down here.

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So right here, you can see here's a thread that it kicked off.

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Actually, no, not that one.

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This one, you can see that it was sent by Herc.

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So my dot is basically kicking off these tasks, but it's not putting them inside of my Herc 2 project.

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So I'm like losing the organization.

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So that's leading me to this point, which is like Dots doesn't even know how it works.

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I love when I can talk to Claude Code or Codex

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or GrokBot about how it works so I can get a better understanding of how I should utilize it.

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But Dots will just tell me things that's like, okay, that's not actually how you work.

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So how do I, you know, I start to lose trust over what kind of knowledge it actually has.

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But hey, at least this little guy is cute and customizable because ultimately people seem to care way more about that.

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Okay, so ultimately where do we sit now?

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Well, I think that I'm going to continue to play around with both of them.

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But if I had to choose one, for me, I would be choosing Codex.

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I would be choosing Dots simply because I live inside of Codex and Cloud Code.

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I don't care as much about this super polished

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and super nice interface because I already have ideas

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and I already have goals set and I already have a lot of the stuff set up already.

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But if I didn't, I would 100 % want this because Muse's interface is so much better.

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Their advantage there is meaningful.

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But what I think is interesting is that Dots

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or OpenAI is probably getting so much feedback around Dots and they've obviously been looking at Muse and taking inspiration from it, which is why I'm so confused.

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I was expecting Dots to come out and have a very similar style interface.

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but it's just like lacking so much.

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But what they're gonna do probably is they're gonna go to Muse and be like, okay, cool.

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I like this, you know, ideas tab.

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Let's put that inside of Dots.

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I like the way that these artifacts are set up.

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And, you know, OpenAI also did announce their spaces thing, which is gonna be cool.

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But they're just gonna take features of what people really like about Muse

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or what people really like about GrockBot and just put it in there as well.

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So what I think is gonna happen is like Muse, GrockBot, Dots, they're probably gonna all sort of blend into one sort of tool.

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meaning they're all going to look functionally very, very similar.

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The differences will be some of the native connections and the capabilities of integrating with what you already have.

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And obviously the underlying model that powers the thing and then pricing, you know, like the cheaper ones might be perceived as better to certain audiences.

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And that was kind of my next point, which is I think Astra is just obviously a much better model than Muse Spark.

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So that is one advantage that it has right now.

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I also think that GrokBot right now is a different organizing model

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because it has a bunch of crockbots that you use together rather than just kind of working with one.

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thread.

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And I think that there's pros and cons to each.

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I think

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that the average user who is not deep into the world of AI will probably like the interface of Muse

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and Dots more because it just seems more simple.

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Oh, I have one personal assistant that I can talk to

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and delegate work to rather than trying to figure out how many bots I should make inside of CrockBot.

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And then finally, just a little bit of disappointment here that Dots feels so rushed.

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I mean, I was really excited when I heard that OpenAI was working on their own sort of always -on agents.

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I thought it was going to be like crockbot i thought

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that it was going to be really really crisp and slick

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but it just feels very buggy i actually tweeted this last night

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and i said dots should have been called bugs

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because i was having so many issues i was going to make a video yesterday

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but i was just getting so frustrated because nothing was working

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and i was like i couldn't get it on my phone

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and my desktop app wasn't working

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and i was just a little frustrated it felt very buggy

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and it still does but it does feel better today

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but it's just interesting how limited dots feels at the moment especially

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when you had a very clear example like Muse to pull from.

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So anyways, like I talked about earlier, I think it's really about understanding what are the things that matter most to you?

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Are you already kind of ingrained in the ChatGBT codex ecosystem, or are you more ingrained in like Instagram and Facebook?

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And that kind of stuff might be more useful for you right now.

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Would you rather be able to talk to this thing on WhatsApp, or would you rather be able to have this in Slack with your team?

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I mean, I think the ability for my team to, in Slack, be able to talk to my, essentially my codex, I think that that's a pretty cool like functionality,

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or for me to be able to assign my codex things from Slack and have it be sent right back into Slack.

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I think that is super cool.

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And I'd like to see that come to other apps as well, but that is going to do it for today.

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So if you guys enjoyed, you learned something new, please give it a like.

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It helps me out a ton.

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And as always, I appreciate you guys making it to the end of the video.

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I'll see you on the next one.

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Thanks everyone.

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이 레슨의 어휘와 말하기 포인트

이 B2 수준 말하기 레슨은 영상 “I Tested OpenAI's Dots vs. Meta's Muse. What You Need to Know”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: dot, muse, app, inside. 이 영상에는 섀도잉할 문장 286개와 단어 4078개가 있습니다. 말하는 구간의 길이는 16:29입니다. 화자는 분당 약 247단어로 빠르게 말하므로 연음과 약하게 발음되는 소리가 많습니다. 단어의 84%가 영어에서 가장 많이 쓰이는 3,000단어에 속합니다. 나머지는 연습 전에 미리 확인해 두세요.

이 영상의 핵심 어휘

영상에서 가장 어려운 단어 15개를 발음, 뜻과 함께 정리했습니다.

단어	발음	뜻
interface 명사	/ˈɪn(t)ɚˌfeɪs/	인터페이스
ecosystem 명사	/ˈikoʊˌsɪstəm/	생태계
artifact 명사	/ˈɑɹtɪfækt/	인공물
automation 명사	/ˌɔ.təˈmeɪ.ʃən/	자동화, 오토메이션
desktop 명사	/ˈdɛsktɒp/	탁상
spark 명사	/ˈspɑɹk/	불꽃, 스파크
dashboard 명사	/ˈdæʃˌboɹd/	계기판
bot 명사	/bɑt/	봇
subscription 명사	/səbˈskɹɪpʃən/	구독
podcast 명사	/ˈpɑdˌkæst/	팟캐스트
login 명사	/ˈlɒɡ.ɪn/	로그인, 사용자명
heartbeat 명사	/ˈhɑɹtˌbit/	심박
functionality 명사		기능
token 명사	/ˈtoʊkən/	토큰
approve 동사	/əˈpɹuːv/	승인하다, 찬성하다

영상에 나오는 구동사

단어	발음	뜻
come out 동사	/ˌkʌm ˈaʊt/	나오다

따라 말해 볼 만한 문장

영상에 나오는 짧고 완결된 문장으로, 일상 대화에서 그대로 쓸 수 있습니다:

Let's get back to the video.
It said, hey, I'm here.
Let's chat about this, whatever.
As you can see, here's one, right?
I'll see you on the next one.

이 영상의 문법

화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.

문형	영상 속 표현
조건문 if + 절, will/would + 동사 — 조건과 그 결과	if I didn't, I would
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점	are headed · was connected · is named
관계절 who / which + 절 — 사람이나 사물에 대한 추가 정보	Slack, which is · connector, which is · tab, which is
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때	have built · has been proven · you've actually received

주의할 발음

화자는 I'm, gonna, they're 같은 축약형과 약화된 형태를 75번 사용합니다. 들리는 대로 짧게 발음하세요.

“sh”와 “zh” 소리: automation /ˌɔ.təˈmeɪ.ʃən/, dashboard /ˈdæʃˌboɹd/, subscription /səbˈskɹɪpʃən/, foundational /faʊnˈdeɪ.ʃə.nəl/, benchmark /ˈbɛn(t)ʃmɑːk/
긴 단어 — 강세 위치에 주의: ecosystem /ˈikoʊˌsɪstəm/, automation /ˌɔ.təˈmeɪ.ʃən/, foundational /faʊnˈdeɪ.ʃə.nəl/, intimidate /ɪnˈtɪmɪdeɪt/, proactively /pɹoʊˈæk.tɪv.li/

한국어 화자가 어려워하는 소리:

/f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: interface /ˈɪn(t)ɚˌfeɪs/, artifact /ˈɑɹtɪfækt/, frustrate /ˈfɹʌsˌtɹeɪt/, foundational /faʊnˈdeɪ.ʃə.nəl/, preference /ˈpɹɛf(ə)ɹ(ə)ns/
/v/ — ㅂ(/b/)과 구별하기: approve /əˈpɹuːv/, overwhelm /ˌoʊ.vɚˈwɛlm/, proactively /pɹoʊˈæk.tɪv.li/, inexpensive /ˌɪnɪkˈspɛnsɪv/, perceive /pɚˈsiv/
/z/ — ㅈ이 아니라 성대를 울리는 /s/: muse /mjuːz/, customize /ˈkʌs.tə.maɪ̯z/, anyways /ˈɛn.iˌweɪz/, optimize /ˈɑptɪmaɪz/, wisely /ˈwaɪzli/

이 영상으로 연습하는 방법

먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
0.75배속으로 한 문장씩 섀도잉을 시작하고, 익숙해지면 보통 속도로 돌아갑니다.
자신의 목소리를 녹음해 원본과 비교하고, interface, ecosystem, artifact 같은 단어에 특히 주의합니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

섀도잉 방법: 단계별 전체 가이드 읽기 →

쉐도잉 연습: I Tested OpenAI's Dots vs. Meta's Muse. What You Need to Know. - 영상으로 영어 말하기 배우기

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