Youtube daily up Dec 30 2017

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Reasons Why Your Legs Cramp Up At Night And How To Fix It

Leg cramps are a common issue that tortures many people during sleep, and they are unexpected

and fast muscle spasms or contractions, felts in the thighs, feet, and calves.

They usually occur after the person falls asleep, or just before opening the eyes in

the morning.

Yet, the pain they cause can be pretty intense and might last for up to a few minutes.

When it goes away, the muscles remain tensed and tight and are sensitive to touch and sudden

movements.

Yet, leg cramps and restless leg syndrome are not the same.

Namely, people experience greater pain when they move their legs during the cramping,

while in the case of the restless leg syndrome, makes people feel relaxed when they move the

legs.

The reason for leg cramps is still unknown, but some scientists argue that certain health

conditions and activities might cause this painful experience.

Some possible causes include:

Pregnancy Dehydration

Magnesium deficiency Injury

Potassium deficiency Kidney diseases

Calcium deficiency Pregnancy

Physical activity Muscle overload

Poor blood circulation Thyroid issues

Prolonged exposure to low temperatures The use of some specific pharmaceutical drugs.

The following natural methods will help you treat muscle cramps:

Physical activity To relax the muscles and prevent muscle cramps,

you should avoid long periods of standing, and start walking for a while every day.

Stretching Start stretching the muscle that is cramping,

and gently rub the place.

Increased Water Intake Make sure you drink plenty of water during

the day to prevent dehydration, which is one of the main causes of muscle cramps.

Massage or Acupuncture Acupuncture effectively relaxes muscles and

thus directly targets the root of the problem.

Moreover, you will benefit a lot from regular massages.

Magnesium You should optimize the levels of magnesium

in the body, as this essential nutrient will help you prevent muscle spasms.

Therefore, consume more seeds and nuts, or rub the legs with magnesium oil.

You should boil half a cup of distilled water and add half a cup of magnesium chloride flakes.

Then, remove the oil from heat, leave it to cool, and pour it into a spray bottle.

Spray 5-10 times on both legs at bedtime.

Epsom Salt bath Epsom salt has been found to be of great help

in the case of muscle cramps, and the baths with it will soothe the muscles and provide

lots of magnesium.

Yet, these remedies will help you avoid muscle cramps, but when you do experience them, you

need to follow these tips:

Try to move the leg if possible, in order to boost the blood circulation.

Rub the muscle for some time to relax it.

Sit on the floor, extend the legs and flex the feet at the ankles.

Then, drag the feet with the hands to stretch the muscles.

Ensure a good air flow in bed, so use good-quality blankets, sheets, and clothing.

If you like our video then do subscribe to our channel.

Please leave us a comment and give a thumbs up.

It means a lot.

Thank You :)

For more infomation >> Reasons Why Your Legs Cramp Up At Night And How To Fix It - Duration: 3:25.

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NBA Youngboy x Boosie Type Beat 2018 - "Bread Up" Hip Hop/Rap Instrumental 2018 - Duration: 3:59.

JREDBEATS

BREAD UP

NBA YOUNGBOY

BOOSIE BADAZZ

NBA YOUNGBOY TYPE BEAT

BOOSIE BADAZZ TYPE BEAT

TYPE BEAT 2018

LOUISIANA TYPE BEAT

For more infomation >> NBA Youngboy x Boosie Type Beat 2018 - "Bread Up" Hip Hop/Rap Instrumental 2018 - Duration: 3:59.

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Learn English Khmer Translation, Construction investment up 22 percent | #Onn Rathy - Duration: 13:35.

Newspaper Translation~បកប្រែកាសែត

By: Onn Rathy

For more infomation >> Learn English Khmer Translation, Construction investment up 22 percent | #Onn Rathy - Duration: 13:35.

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Russian Fighters Entered US-Controlled Airspace, Then the F22s Showed Up - Duration: 3:01.

For more infomation >> Russian Fighters Entered US-Controlled Airspace, Then the F22s Showed Up - Duration: 3:01.

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Atlanta 2017 Rap Up! - Duration: 1:06.

2017

We here in the A,

A year that'll stay,

Up in our minds,

Braves on the move,

Away from the Zoo,

A house that is new,

Battery Included,

A man on some dope,

The freeway got smoked,

The traffic obscene,

But really good MEMES,

from selfie to elfie,

there's no real doubt,

the city went nuts for a pink trap house,

And so did the world on a big black out,

The heat went away,

we pulled out our shades,

The dome was imploded,

With lots of explosives,

We had some great times like a really old friend,

But then traded in for a Mercedes Benz,

They put the top down, us fans got excited,

For some football, Atlanta United,

The fever was real, with mass appeal,

We broke a few records, with new endeavors,

We got our hopes up and then got deflated,

But Super Bowl wins, are so overrated.

(Moment of Silence :P)

A heck of a year, with many great things,

And now we're revved up, for twenty eighteen!

For more infomation >> Atlanta 2017 Rap Up! - Duration: 1:06.

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Video: Man sets up phony foundation to raise funds for veterans, deputies say - Duration: 2:18.

For more infomation >> Video: Man sets up phony foundation to raise funds for veterans, deputies say - Duration: 2:18.

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Game of Thrones | Light 'Em Up - Duration: 1:26.

For more infomation >> Game of Thrones | Light 'Em Up - Duration: 1:26.

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60 Second Training Tip: Setting up dogs... - Duration: 0:55.

Hey gang! Sean from The Good Dog with our 60-second training tip: and this is why

we set up dogs. We set up dogs so we have the best chance to share

information with the dog. For something that we don't want them doing.

Something that we want to correct. Something we want to address.

Something we want to help them move through in a way that we are best set up. The humans are

best set up to be calm, relaxed, have our timing right on the money, be able to

really address the situation, without having to wait for life to do it. Because

when life does it, typically human beings are unprepared. Multitude of things are

going on, your focus is all over the place. The dog gets the drop on you.

You try and communicate, you get frustrated, your timings off, everything

goes to hell. So, the reason we set dogs up is so we can best

serve them. Best teach them. Best lead them through what we like, what we don't like.

That's why we set them up. Hope that helps.

For more infomation >> 60 Second Training Tip: Setting up dogs... - Duration: 0:55.

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This Tree Stayin All The Way Up! 😜🎄 ⬆️ 📅 - Duration: 2:39.

Why are people taking down their Christmas tree already? It is December

28th, your tree don't come down until the day after New Year's ...

after Three Kings Day if you're from the Caribbean ... or after Martin Luther King

days you trippin. Ha! I mean y'all must also be those people who get your

Christmas tree up the day after Thanksgiving. I have all intention of

doing that but, who has time? I'm too busy napping and making 34 combinations of

sandwiches out of leftovers. I also intend the landscape the front of

my home every year and get my stomach on flat flat but you know the road to hell

is paved with good intentions ... and you know what else the road to hell is paved

with Christmas trees that are taken down two days after Christmas! Goodness sakes

I just got this tree up like last week (yes yes their gifts underneath there still

we like to stretch those out as well. And listen I'm 'bout to get

the work out this Christmas tree. I wish I would take this joker down after I

done had it up for like five days. And I expect all Christmas lights to be out on

people's houses. If I roll open all your Christmas lights

are gone like two days after Christmas sucker Christ is born where is your

resolve?! And none of there's no taking stuff from the ole year into the new

year. You taking your refrigerator and your student loans aren't you? Now I don't like

it when they start Christmas early like the day after Halloween all of a sudden

they deck in the halls in my Walmart ... and talking about my Walmart these jokers

had the Valentine's Day decorations out last week. Walmart you will not rush me!

I like Christmas to drag out. It's cold, I'm eatin, I'm lazy, and I don't want to take

this mess down. I've been known to keep my bitmoji on a very seasonally specific

outfit for way longer than appropriate. Besides if I came to your house and all

your Christmas decorations were gone like two days after Christmas I would be

giving you a severe side eye ... and by "severe side eye" I mean I'd be severely turning

my head to the side looking for your Christmas decorations! Where they at?! I'm not here

for these people who like to rush Christmas right after Halloween and we

don't even get to celebrate Thanksgiving and an all of a sudden Christmas tree gone by

December 26 WHET?! You're probably one of these people that changes your throw

pillows every other week I mean what are you making room for Christ was just born

three days ago the three kings have to take time to get to him it is still

Christmas season, leave your tree up, leave your halls decked. So in closing this tree

not coming down until probably clear into the end in the middle to end the

end of January and yeah that's how I'm gonna live my life. Have a good day Merry

Christmas Happy New Year bye!

For more infomation >> This Tree Stayin All The Way Up! 😜🎄 ⬆️ 📅 - Duration: 2:39.

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'Never, Ever Give Up': Hunter Survives Subzero Nightmare - Duration: 2:46.

For more infomation >> 'Never, Ever Give Up': Hunter Survives Subzero Nightmare - Duration: 2:46.

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Pasadena Authorities Beef Up Security In Anticipation Of Rose Parade Visitors - Duration: 2:29.

For more infomation >> Pasadena Authorities Beef Up Security In Anticipation Of Rose Parade Visitors - Duration: 2:29.

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Synthetic Gradients Tutorial - How to Speed Up Deep Learning Training - Duration: 20:25.

Hi, I'm Aurélien Géron, and today I'm going to explain how Synthetic Gradients can

dramatically speed up training of deep neural networks, and even often improve their performance

significantly.

We will also see how they can help recurrent neural networks learn long term patterns in

your data, and more.

Synthetic Gradients were introduced in a paper called "Decoupled Neural Interfaces using

Synthetic Gradients" published on Arxiv in 2016 by Max Jaderberg and other DeepMind

researchers.

As always, I'll put all the links in the video description below.

To explain Synthetic Gradients, let's start with a super quick refresher on Backpropagation.

Here's a simple feedforward neural network that we want to train using backpropagation.

Each training iteration has two phases.

First, the Forward phase: we send the inputs X to the first hidden layer, which computes

its outputs h1 using its parameters theta1, and so on up to the output layer, and finally

we compute the loss by comparing the network's outputs and the labels.

Then the Backward phase.

The algorithm first computes delta3, which are the gradients of the loss with regards

to h3, then these gradients are propagated backwards through the network, until we reach

the first hidden layer.

The final step of Backpropagation uses the gradients we have computed to tweak the parameters

in the direction that will reduce the loss.

This is the gradient descent step.

Okay, that's it for Backpropagation.

Now suppose you want to speed up training.

You buy 3 GPU cards, and you split the neural network in three parts, with each part running

on a different GPU.

This is called model parallelism.

Unfortunately, because of how Backpropagation works, model parallelism is inefficient.

Indeed, to compute the loss, you first need to do a full forward pass sequentially.

Each GPU has to wait for the previous GPU to finish working on a training batch before

it can start working on it.

This is called the Forward Lock.

Notice that the model parameters cannot be updated before the loss is computed.

And this is called the Update Lock.

And finally, we cannot update a layer's parameters before the backward pass is complete,

at least down to the layer we want to update.

This is called the Backward lock.

The consequence of all these locks is that GPUs will spend most of their time waiting

for the other GPUs.

As a result, training on 3 GPUs using model parallelism is actually slower than training

on a single GPU.

So, the main idea behind Synthetic Gradients is to break these locks, in order to make

model parallelism actually work.

Let's see how.

First we send the inputs to the first hidden layer.

Then this layer uses its parameters theta1 to compute its outputs.

So far, nothing has changed.

But now we also send the outputs h1 to a magical little module M1, called a Synthetic Gradient

model.

We'll see how it works in a few minutes, but for now it's just a black box.

This model tries to predict what the gradients for the first hidden layer will be.

It outputs the synthetic gradients delta1 hat, which are an approximation of the true

gradients delta1.

Using these synthetic gradients, we can immediately perform a gradient descent step to update

the parameters theta1, no need to wait.

This hidden layer equipped with its Synthetic Gradient model is effectively decoupled from

the rest of the network.

This is called a Decoupled Neural Interface, or DNI.

In parallel, the second layer can do the same thing.

It uses a second Synthetic Gradient model M2 to predict what the gradients will be for

the second hidden layer.

And it performs a gradient descent step.

And so on up to the output layer.

This time instead of using a Synthetic Gradient model, we might as well compute the true gradients

directly and use these true gradients delta3 to update the parameters theta3.

And we are done!

Notice that we only did a forward pass, no backward pass.

So just like that, training could potentially be up to twice faster.

Just to be clear, the Synthetic Gradient models are only used during training.

After training, we can use the neural network as usual, based on the trained parameters

theta1, 2 and 3.Okay, now let's see how this technique enables model parallelism during

training.

Once again, let's split the network into three parts, each running on a different GPU

card.

And the CPU will take care of loading the training instances and pushing them into a

training queue.

We start by loading the first training batch.

And while the first GPU is computing h1, and updating its parameters using synthetic gradients,

we can already load batch number 2 and push it into the queue.

Then while layer 2 takes care of batch number 1, layer 1 can already take care of batch

number 2.

No need to wait!

And so on, so you get the picture.

Now each layer is working in parallel on a different batch, so all GPUs are active, they

are much less blocked waiting for other GPUs to finish their jobs.

And we can continue like this until the end of training.

As you can imagine, this can dramatically reduce training time.

However, every time we go from one layer to the next, we need to move a lot of data across

the GPU cards.

This can take a lot of time and in practice it can far outweigh the benefits of this architecture.

But if you have a deep neural network composed of, say, 30 layers then you can split it in

3 parts of 10 layers each.

You can use Synthetic Gradient models at every hidden layer, or every few hidden layers,

or just at the interfaces between the GPU cards.

With so many layers, the time required to copy the data across GPU cards is now small

compared to the total computation time, so the GPU cards spend much less time waiting

for data, and you can hope to train your network close to 3 times faster than using regular

Backpropagation on a single GPU card.

So model parallelism actually works!

Great!

Now it's time to open the black boxes and see how the Synthetic Gradient models work.

Let's focus on a hidden layer i.

It has its own Synthetic Gradient model Mi which produces synthetic gradients delta i

hat, and these synthetic gradients can be used to update the hidden layer's parameters

without waiting for the true gradients to be computed, as we have just seen.

This model can simply be a small neural network.

For example, a single linear layer, with no activation function.

Or it could have a hidden layer or two.

We will simply train the Synthetic Gradient model Mi so that it gradually learns to correctly

predict the true gradients delta i.

For this, we can just train the Synthetic Gradient model normally, by minimizing a loss

function.

We can just use regular Backpropagation here, nothing fancy.

For example, we can minimize the distance between the synthetic gradients and the true

gradients (in other words, the L2 norm of their difference), or we can minimize the

square of that distance.

But this begs the question: how do we compute the true gradients delta i?

If we need to wait for the loss function to be computed and for the true gradients to

flow backward through the network, then we have somewhat defeated the purpose of synthetic

gradients.

Fortunately, there's a neat trick to avoid this.

We can just wait for the next layer to compute its synthetic gradients delta i+1 hat and

then we just Backpropagate these synthetic gradients through layer i+1.

This does not really give us the true gradients delta i, but hopefully something pretty close.

Of course if the next layer happens to be the output layer, then we might as well compute

the true gradients and Backpropagate them.

Over time, the Synthetic Gradient models will get better and better at predicting the true

gradients, and this will be useful both for updating the parameters correctly and also

for providing accurate gradients to train the Synthetic Gradient models in lower layers.And

that's it, you now know what synthetic gradients are, how they work and how they can speed

up neural network training.

But there are a few more important things to mention.

Firstly, Synthetic Gradients can be used pretty much on any type of network, including convolutional

neural networks such as this one.

Just add Synthetic Gradient models after some hidden layers, and that's about it.

Each Synthetic Gradient model's outputs must have the same shape as its inputs, that

is the same shape as the outputs of the layer they are attached to.

For example, M1's outputs must have the same shape as the outputs of this convolutional

layer.

Suppose it's a convolutional layer with 5 feature maps of size 400x200, then that's

exactly the shape that M1 must output.

That's a 5x400x200 array.

In practice, you can use a shallow convolutional neural network that preserves the shape of

its inputs, so for example a couple convolutional layers with zero padding and stride 1 would

do just fine.

Here's another important point.

Until now, the input of each Synthetic Gradient model Mi was only the output of the corresponding

layer, hi.

But it is perfectly legal to provide additional information to the Synthetic Gradient model,

so that it can make better predictions.

For example, we can give it the labels of the current batch.

This is called a conditional Decoupled Neural Interface, or cDNI.

In the paper, the authors show that cDNI consistently performs better than regular DNI, so it should

probably be your default choice.

So in the paper, they experimented with the MNIST dataset of handwritten digits, using

various architectures and training methods.

In particular, they used this fully connected network with 3 to 6 hidden layers of 256 neurons

each.

They used Batch normalization and the ReLU activation function at each hidden layer.

And here is a graph presented in Figure 2 in the paper.

It shows the learning curves for 3 to 6 hidden layers and for various training methods.

For example, when trained using regular Backpropagation, the network reaches below 2% error on the

test set, and it gets better when you add more layers.

Using Synthetic Gradient models at each hidden layer, the final performance of the 3 layer

network ends up being better than before, but it takes time to train the synthetic models,

so overall, you know, it's a little bit longer than Backpropagation.

When you add more layers, the network's performance actually decreases, and training

time increases.

That's not great.

Note that each synthetic gradient model is actually composed of two hidden layers of

1024 neurons each, and one output layer of 256 neurons.

They also used batch normalization and the ReLU activation function in the hidden layers.

Finally, they tried training the network using conditional DNI.

The network gets better when you add more layers, and with 6 layers it actually reaches

the best performance overall.

Moreover, as you can see, this is the fastest learning architecture.

It reaches less than 2% error in just a few thousand iterations.

Surprisingly, they used very simple synthetic gradient models, without any hidden layers

here.

I am curious to know why they did not use the same synthetic models for DNI and cDNI,

because it feels like we are comparing apples and oranges.

Anyway, it clearly demonstrates that cDNI performs much better than Backpropagation

on this task, both in terms of final accuracy and training speed.

There are many more results in the paper, if you're interested, in particular great

results with Convolutional Neural Nets.

Another great application of Synthetic Gradients is in Recurrent Neural Networks.

At each time step t, a recurrent layer takes the inputs Xt, as well as its own outputs

from the previous time step h_t-1, and it produces the output h_t.

It is convenient to represent RNNs by unrolling them through time, across the horizontal axis,

like this.

First the recurrent layer takes the inputs at time t=0, and it has no previous outputs.

It then outputs h_t=0

And at the next time step, it takes the inputs X_t=1 and the previous outputs h_t=0.

To be clear, these two boxes represent the same recurrent layer at two points in time.

Then it outputs h_t=1

And we could go on and on and on…

However, during training, we have to stop at one point, or else we will run out of memory.

We can then compute the loss based on the outputs produced so far.

And we can perform Backpropagation.

And finally we can update the parameters of the recurrent layer.

This technique is called Truncated Backpropagation through time.

It works well, but it has its limits.

In particular, since we only computed the loss on a few outputs, we know nothing about

the future losses.

So in practice, this means that the network cannot learn long-term patterns.

So let's see how Synthetic Gradients can help solve this problem.

Instead of stopping at time step t=3, let's unroll the network for just one additional

time step.

But instead of using its outputs to compute the loss, we send them to a Synthetic Gradient

model.

It estimates the gradients for that time step, delta_t=4_hat.

And we backpropagate these gradients through the layer to get an estimate of delta_t=3.

We can then perform regular Backpropagation through time, by mixing the true gradients

and the estimated future gradients.

Finally, once we have all the gradients we need, we can update the parameters of the

recurrent layer by performing a gradient descent step.

We must not touch the last unrolled cell, because this would change its output h_t=4,

and we are going to need it in a minute to train the Synthetic Gradient model.So by using

Synthetic Gradients in a recurrent neural network like this, we can capture long term

patterns in the data even if we unroll the network through just a few time steps.

Now, let's see how we can train the Synthetic Gradient model.

For this, we will need to run the network on the next few time steps, so let's move

forward in time.

Okay, clean up a bit and push this to the left to have more space.

Okay, now we run the RNN on the next few time steps.

Okay, we compute the loss.

We add an extra time step and we use the Synthetic Gradient model to estimate the gradients for

that time step.

And just like earlier, we Backpropagate these synthetic gradients and we mix them with true

gradients.

And now this process gives us something pretty close to the true gradients for time step

4, and we can use these gradients to train the Synthetic Gradient model.

Next, we can use the gradients we computed to update the RNN's parameters.

And boom!

Of course we could repeat this process many times, and both the RNN and the Synthetic

Gradient model would get better and better.It does add some complexity, but you can bet

that the main Deep Learning libraries will soon hide this complexity from us, hopefully.

And if you need some motivation, here are some amazing results.

This graph is a simplified version of Figure 4 in the paper, and it comes from DeepMind's

great blog post about Synthetic Gradients, which I highly encourage you to read (the

link is in the video description below).

It shows the performance of various RNNs on the Penn Treebank task, which is a language

modelling task.

The horizontal axis shows training time, and the vertical axis shows the model's error,

measured in bits per character (BPC).

The three dashed lines are the learning curves of a regular RNN using Backpropagation through

time, unrolled through 8, 20 or 40 time steps.

So the more you unroll the RNN, the longer it takes to train, and the more data it requires,

but also the better the performance it eventually reaches.

Now compare these three dashed lines to the solid line on the left: it shows the learning

curve of an RNN trained using Backpropagation through time unrolled through just 8 time

steps, but this time using synthetic gradients.

As you can see, the model reaches the lowest error, even better than the model unrolled

through 40 time steps, and it takes roughly half as much time and data to train.

That's really impressive!

Okay next!

Yet another really interesting idea in the paper aims to break the forward lock.

Recall that the Forward lock is the fact that we need to wait for the lower layers to finish

before we can compute the top layers.

It may sound impossible to break this lock, but it is in fact quite simple: you can just

equip any layer you want with a Synthetic Input model.

For example, let's add a Synthetic Input model I3 to layer 3, which is the output layer.

It allows us to skip the hidden layers 1 and 2 by computing h2_hat, an approximation of

h2, the inputs of layer 3.

We can just feed h2_hat directly to the output layer.

And ta-da!

We've just broken the forward lock.

As you might guess, once we eventually get the output of the hidden layer 2 we can use

it to train the Synthetic Input model.

This is really the exact same idea as earlier, but going forwards rather than backwards.

In fact, we can even use the same trick as earlier to go even faster.

Instead of letting the signal propagate through the whole network to compute h2, we can just

use the synthetic input model from the previous layer and feed it to the hidden layer 2, and

this will give us something hopefully close enough to h2, to train I3, the Synthetic Input

model of layer 3.

To conclude, let's look at the data flow of a fully Decoupled Neural Interface that

uses both synthetic inputs and synthetic gradients.

First, the Synthetic Input model receives the next training batch and computes an approximation

of the layer's inputs, h_i-1_hat.

Then, the hidden layer computes its outputs h_i and feeds them simultaneously to the next

layer and to its own Synthetic Gradient model.

These gradients are backpropagated through the hidden layer, which gives a reasonably

good approximation of the true gradients for the previous layer.

The gradients delta_i-1 are just sent back to the previous layer, which will use them

to update its own Synthetic Gradients model.

And immediately after that, we can update the layer's parameters using the Synthetic

Gradients delta_i_hat.

At some point we receive the outputs of the previous layer, h_i-1, and we will use them

to train the Synthetic Input model.

And lastly, we receive the gradients from the next layer, and we use them to train the

Synthetic Gradients model.

And that's it!

The DNI is ready to handle the next training batch.

If you want to learn more about Synthetic Gradients, I encourage you to read the paper

itself, as it touches on a few more topics, such as many implementation details, or how

Synthetic Gradients can help two Recurrent Nets communicate efficiently when they don't

tick at the same rate, and so on.

Also check out the links in the video description, there are several interesting blog posts and

implementations, and I might add my own implementation at one point.

If you want to learn more about Deep Learning, check out my book Hands-On Machine Learning

with Scikit-Learn and TensorFlow.

In particular, there's a whole chapter on running TensorFlow across multiple GPUs and

servers.

There's also a german version and a French version, and I believe a Chinese version should

be out in the next few weeks.

And that's all I had for today!!

I hope you enjoyed this video and that you found it useful.

If you did, please, like, share, comment, subscribe, and you can also follow me on Twitter

if you're into that.

See you next time and I wish you a very Happy New Year!

For more infomation >> Synthetic Gradients Tutorial - How to Speed Up Deep Learning Training - Duration: 20:25.

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[ENG SUB] Red Velvet's Level UP! - The Velvet LIVE - Duration: 50:25.

I don't know why my heart is fluttering like this

It's my first time, whiten the black night

We walk holding hands, under the starry sky

Something is lacking

Do you think of me when get, when you see something nice

Do you laugh alone out of the blue like I do

Tell me is this the first time

Have you fallen for me as much as I have fallen for you

I want to know everything, if my heart has grown deeper than yours

Like a fool

I learn a little everyday, we learn about each other

Joy has multiplied, oh is it love?

When you talk gazing into my eyes, I get too truthful

I become a child

I get prettier and everyday is new

Are your days like this too

Tell me, is this the first time?

Have you fallen for me as much as I have fallen for you?

I want to know, if my heart has grown deeper than yours

Like a fool

We are one in the end

Somehow, in some way

I want it to be the first and the last

I cannot be complete like a half

We fill each other up all the way

Tell me, is this the first time?

Have you fallen for me as much as I have fallen for you?

I want to know, if my heart has grown deeper than yours

Like a fool

Today I realized how much I really love you for the first time

For the first time

- Congratulating ourselves. - Wanna say hello?

1 2 3, happiness. Hello, we're Red Velvet.

We started today's V-app with our song 'First Time.'

Today is in celebration of releasing our mini album The Red.

- The Velvet. - It's The Velvet.

- The Velvet, after The Red. - Yeah, my mistake.

- I guess I'm nervous. - Your hand's trembling.

As soon as we say that, we reached over 1 million hearts.

- Applause. - That shows great anticipation.

- Yeah, they've been waiting. - First, let's each greet our viewers.

I'll go first.

Look this way?

Hello, I'm... Hello, I'm Joy on Red Velvet.

This is like our debut when we couldn't find the cameras.

- Yeri. - Our youngest. - Hello, I'm Yeri.

Hello, I'm Irene.

Hello, I'm Seulgi on Red Velvet.

- Hello, I'm Wendy. - What? Again.

- Hello, I'm Wendy. - You blaze on screen.

Our comeback's in a long time, so this represents my passion.

- Expressed with hair? - Yeah, how much I love our fans.

Let's talk about that later.

We did a surprise V-app yesterday. Did you see that?

- Yeah, V-app. - Cute.

We did a surprise V-app yesterday, but today is a special

so I hope you stay with us to the end.

That reminds me of when I was on first with Seulgi.

- Our broadcast. - We watched you.

- We've seen it all. - The title was Red Velvet's Level Up.

- We decided on a pose then. - What was it? Show us.

- 1 2, start. Level Up! - That's cliche.

- Yeri, then you show us one. - Yeri's own Level Up pose.

I dyed my hair.

- And I'm wearing this, so... - 18 years old.

- Say Yeri's Level Up. - Yeri's Level Up.

- Nice. - I did that one.

- That was mine. - Level Up, like this.

- But it was this before, so do this. - Yeah, it's already decided.

- We made it first. Makers keepers. - Show us, how do you do it?

- Like this. - Shooting a love gun.

- All together. - Shoot on up.

- Up. - 1 2 3, Red Velvet's...

Level Up!

- Is this right? - Yeah, good job.

Red Velvet's V-app has started. Anyways, you guys.

- Today is March 16. - Already?

2016 still feels new, but it's already March and 16 days into it.

Oh my, time really flew by. Oh my.

- It seems like January 1. - Yeri's now 18?

- Why me all of a sudden? - You're still a baby at 18.

In March, many would be making friends with schools starting.

And Red Velvet's new album is another new encounter.

To be honest, yesterday

was when our music video was supposed to release.

But to make it with more quality,

it was delayed a day, so I ask for your understanding.

For our fans who's been waiting long, our Red Velvet Level UP album

will be sang live on today's Red Velvet live.

And the opening live...

- What was it? - 'First Time.' - Yeah, 'First Time.'

Besides 'First Time,' we plan to sing more on our tracklist.

- So watch us to the end. - Sweet.

As today's broadcast is called Level Up,

our new album and live stage will be brought to you

to level up the fun for your eyes and ears.

So watch us live and press your hearts. Hearts are important, right?

- And the comments too. - Yeah. - Post many comments.

We're back with different looks than our last album.

So I'm a little nervous, how about you guys?

We're totally different from our Red Velvet The Red album.

So with our new album, we're curious about your response.

We're curious, but also worried about how you'd respond.

- That we should be better. - Yeah.

During practice for 'Ice Cream Cake' and 'Dumb Dumb', we did wild dances.

We sang and danced with great fun.

But for 'One of these Nights,'

something felt awkward.

Yeah, going like this and then...

- The mood changed. - I can't do a spoiler here though.

- Give them a peek. - You gave a spoiler before.

- You did that already. - This?

- Up to that. - Yeah, I'll stop.

Our visual appearance changed a lot.

Like the introduction we did on V-app yesterday,

but why don't we go into details for our curious fans?

First, the most standing out Wendy.

I'm angry, I'm angry.

- Angry about what? - Cute.

I think by color, Yeri and I probably

- changed dramatically. - Yeah, you bleached your hair.

- Stand to show them more. - Yeah, your pretty attire.

Why do you have on pink today?

- Are you jealous? - Just when she saw me.

- Yeah, she asked that before. - Pink hoody.

Sorry, next time... Wait, Joy has on pink also.

- Yeri doesn't like pink. - I like this pink better.

- This is my attire today. - Pretty.

- Pink, pink. - Awkward.

- Pretty. - My hand's awkward.

Since you have red hair, you look like you're from Little Mermaid.

- Yeah, Little Mermaid. - Do the mermaid dance.

- How do you do that? - Under the sea.

- Didn't expect you to do that. - Wasn't I supposed to? - Thanks.

- Like her seal dance. - I though you'd sit down.

Wendy transformed with bright red hair.

- Next, Seulgi. - Career woman-like look, Seulgi.

How did you change?

Shall I explain my hair sitting down?

- Explain first then stand. - My hair used to be ombre.

I had gray ombre hair before.

But with damaged hair, color drained. I'll get extensions next time.

Not damage my hair but get extensions.

That's how I'll be on stage.

You bleached your hair so much, so coloring it was hard.

- Too bad you cut it. - Showed up with shorter hair.

I didn't cut it, the hair broke off.

Broke off in the middle, so I cut it. I'm satisfied.

Someday I'd be like that. My color's draining these days.

I personally like Seulgi's attire. Looks so pretty.

- Yo go well with it, do a turn. - I'm wearing what I like.

- Wanna show us walking? - Walking?

Great.

- Really great. - Seulgi has a pretty figure.

- Thank you. - You look pretty in it.

- With one side sticking out. - That's fashion.

- This is the trend. - Her sleeve, the trend.

- Next, Irene. - You're done with me?

- I guess I wasn't fun. - I'm curious about Irene.

What changed about me? I dyed my hair.

- Yeah, first... - Dark chocolate.

- Dark chocolate? - Looks black, but it's dark choco

I also cut my hair because the tips were damaged.

- I dressed a bit feminine. - Cute, this is your point.

- This is your point, heart. - There's a heart.

- Sexy. - We got over 2 million hearts.

- Really? - Make a heart on camera.

- Heart? - Yeah, with all your heart.

- Since we got 2 million hearts. - The heart on you.

One more, bigger one.

Two hearts.

Two hearts.

- Your eyes are sharp. - Me now?

- I dyed my hair.

- To the color you like, pink. - What's the name of the dye?

- This? Strawberry milk. - Strawberry milk?

- Strawberry milk color. - They gave it that name.

- So we... - You look great with it.

- Do I? - Pretty, aren't you satisfied?

I guess she's shy getting all the attention.

- It was hard to get a pretty color. - Yeah, hard.

- The color drains fast. - She bleached so many times.

- So her scalp... - It hurt.

I go get scalp therapy now.

- She and I together. - Yeah, Seulgi and I go get that.

That reminds me of wearing wigs before on stage, that was hard.

- To cover your hair. - Did I only think that wig was funny?

- It was so funny, everyone laughed. - To tell you a behind story...

When I came home from a stage with a wig on,

I only got messages with laughter.

- Nothing more to say than laughter. - It was really funny.

- Was it that funny? - But it was also cute.

You had this pretty color hidden, so all the more outcome.

- You laughed the most. - It was really funny.

- I saved your picture. - She saved it saying she's a fan.

- Fan because of my wig. - Fan of Yeri with her wig on.

Your attire is very extreme, what are you wearing?

- Your shoulders. - The youngest showing more skin.

- Pretty. - Why did you wear blue? - Blue?

Hey, why wear blue?

- Very pretty. - Pretty, it goes well on her.

- Hair and attire colors match well. - Pretty. - Thank you.

- Next, Joy. - Last turn, been waiting.

That was our intro, now let's move on.

- Joy. - For me...

I looks became more gentle.

- Right? - Yeah, what should I say...

- You seem more mature. - Mature?

- Why twirl your hair? - That's my point.

I ventured to cut my hair short.

- Pretty. - Never been short since middle school.

I always had this ideal image of long hair.

Twirling my long hair on the streets.

Then men going crazy over me, but that didn't happen.

- So I got hair that suits me. - Wendy went crazy over you.

Yeah, Wendy did that.

So for this album, this is how we changed our looks.

- Yeah, transformed. - We all got what suits us.

- Yeah, they suit us well. - And for this album,

our opinions were reflected for our hair style.

So we thought hard about it, showing pictures and asking suggestions.

I remember thinking hard like that. We all came out well.

Do we look okay? Please respond in your comments.

Pretty.

That was our talk about our looks. Like that, our album...

- We got a very different album. - Yeah.

- Someone talk about that. - What were the songs?

- The songs are easy to listen to. - Yeah.

Including 'First Time' at the opening,

our five songs and title track 'One of these Nights.'

There are three different arrangements for 'One of these Nights.'

For our 'Dumb Dumb' album, we chose our favorite songs.

Let's do that again and each choose a favorite.

- You go first. - For me, 'First Time.'

- I was gonna say that. - I felt like crying listening to it.

- I felt like crying. - Me too. Not sure why though.

The story of the song isn't that sad.

I thought the same. I cried too.

- I broke in tears. - Great lyrics. - The melody's a bit sad.

- There was that kind of feeling. - The feeling of first love.

- I like 'Frist Time' also. - Me too.

Really? Then what happens now? Someone say another song.

- Anyone? - Don't be like this.

You guys, 'Light Me Up.'

- Me too, 'Light Me Up.' - I liked it since the demo.

- I loved it. - I kept practicing for it.

- Becuase I loved it so much. - Sing a verse.

Hold my hand.

Whendy, you sing some.

This song.

- I have another song. - All our Red Velvet songs are great.

- So I wanna say this. - Go ahead.

The song 'Cool Hot Sweet Love.' Along with 'First Time.'

they're two different music.

- but I loved them. Kind of sexy. - Yeah.

Very alluring.

'Be Natural' and 'Automatic' are songs that were like Red Velvet.

- This is similar to those two. - Yeah, what I like.

I like its lyrics. The way it expresses love.

The lyrics say love is cold, hot, sweet. I love that expression.

- Yeah. - Very different.

- Shall we listen to it? - Give us 'Cool Hot Sweet Love.'

I'll join in a song of you, imagine what kind of melody

More beautiful when more simple, more you try to change, loses its color

You're cold like a crescent moon

When I hold you and melt you down, eventually

I will taste simplicity and beauty

That's cool, hot, sweet love

Our cool, hot, sweet, sweet love

- Let's stop there. - Up to here?

- I was getting sucked in, too bad. - This is where it gets started.

- This is a great song. - Right before the climax.

- Listen to our album. - Please wait. - So alluring.

- This is an awesome song. - Shall we listen to another?

Next is what Seulgi and I said we liked.

'Light Me Up.' Shall we listen to that?

- You're gonna fall for it, careful. - The lyrics are pretty.

- The beginning's so good. - That's my part.

Who?

I think I opened my eyes, the clouds are gone, the sun's out

You wake me up, brighten the small light in me

So I'll take a step forward, I'll come closer and erase my shadow

Come here boy, wanna talk to you Need to know more about each other

Let's confess to each other, I'm in love

Up to here.

- Oh man. - Why do you keep doing that?

Up to here. The narration stood out betst.

That was 'Light Me Up.' Our next song...

Since the first song was sang live, now our next song.

This was sang by Wendy, Seulgi and Joy.

Lee Suman's song 'Rose Scent Breeze' was remade for them to sing.

We sang this song on the radio today.

We went on the radio this morning and we sang it then.

My dad really liked it. After listening to the radio,

- he sent me a text. - Father loves his daughter.

Father loves his daughter. Great song, Joy, my daughter.

The Velvet album features diverse...

The Velvet album has diverse songs to show for.

Even a remake of Lee Suman's song that came out in '89.

- It's an honor. - Shall we listen to it?

Listening to this piano sound,

- it stopped me in my tracks. - You start to focus.

And the members did a great job singing it, I love it.

I love this orchestra sound.

I'm unable to say anything else

and my eyes are closed

To open my eyes and cry

It's a too deep a sadness

Back when you said your promise

is now a memory

And with your cold smile

You left my side

A rose scent flows in the breeze

- Up to here. - I love it. - We were very still.

- We were really into it. - Great song.

The original piece is great.

- And you sang it well. - The song sucks you in.

You keep listening to it, right from the intro.

- There also news. Can you guess? - What is it?

- What? - We got over 3 million hearts.

- It was 2 million just before. - Yeah, and 110,000 viewers.

- They're all watching? Thank you. - Yeah, more viewers.

Heart.

- Is this how? Heart. - Thank you.

Heart.

Next is our title track. The long waited.

- Title song. - 'One of these Nights.'

- Did you hesitate before saying that? - No, I said it well.

- You hesitated. - Joy, be more confident.

No, being hesitant was better.

'One of these Nights,' our title track.

Let's hear that.

I just woke from a dream

There's a sad, lone star in the dark

Goodbye, we said our awkward goodbyes

Walking back from where you were is so far

Same time, just for a minute, same place, stay for a minute

Short moments, when everything stopped for you and me

Why didn't I know that was a miracle?

Up to here.

I heard what Seulgi said to Irene.

- Shouldn't we stop here? - Then it was all Seulgi's doing?

- She was controlling. - Yeah, I controlled Irene.

We heard our new album songs. Now I'm curious

- about our fans. - Joy brought her iPad.

- Yeri's face is on. - Yeri's face?

- Hurry, give us the comments. - Here I go with the comments.

'Wow, great song.'

- 'Just to my taste.' - Know what that means, Irene?

- What's to my taste? - 'Wendy, comb down your back hair.'

- Thank you. - To one's taste. - 'Wow, love Level Up.'

'Your fan is happy in tears.' So many comments.

- 'Explosive emotions.' - All great comments.

I can't read, they go up so fast.

- We were worried, huh? - Yeah, lots.

Because it's different from what we've been doing.

Total opposite type of music, so we were worried.

- I'm glad you love it, thank you. - 'One of these Nights'

- is about Kyunwu and Jiknyuh. - They're the motive.

Yeah, the motive is about them, so you should reflect on the lyrics.

- Very sad and longing. - Yeah, sad.

We introduced our album songs and sang live today.

The title of our broadcast is Level Up.

Our Level Up album has been worked on for March.

March is when new semesters start. So with our new album The Velvet,

Like we got nervous and worried over meeting you again,

you may be at starting new beginnings now.

- Wait. - There's news. - What?

Red Velvet is 3rd for real-time searched words on Naver.

Naver V.

- We like that. - Thank you.

- We get screenshots of it. - Yeah, we love being searched for.

- Thank you. - Keep searching us, we love it.

- Anyways, you may also... - Sorry.

With everything new in March, you may worry yourselves.

- Right, Joy? - Yeah, lots.

I have lots of worries even now, I'm befuddled.

- You did well, it was good. - I could of done better, like this.

Let's share these worries together. For that, we'll need to listen to you.

- Yeah, let's do that. - So post about meeting new people.

Because it's March.

- Right? - Yeah, March. - Meeting new people in school.

In that aspect, write about those concerns and we'll respond.

Joy is all over the place.

While our fans write their comments, shall we talk?

How we get along with new people.

- How about it? - First, our member who doesn't shy away from others.

Who do you think get along with new people? Shall we vote?

- 1 2 3 - Yeri?

- Didn't you hear? - Who befriends strangers.

Who befriends strangers fast.

1 2 3, then point. 1 2 3

- Yeri. - Me? - I think Yeri. - Yeri befriends people best.

Yeri has a lot of love. She takes care of people.

And she's cute. So many love and care for her.

- Yeah. - Yeri could be great help today.

Yeah.

- Tell them your secret of doing that. - Is there a secret?

How to approach first?

You just...

What would be there?

- You're born sociable? - We received a concern.

It's hard to make new friends. I don't know how to approach them.

Yeri, it's a new semester of your 2nd year in high school.

How would you approach to make new friends?

Me? To be honest, what I do is...

To talk about my friends,

we have been friends since long ago.

Unlike what you think, I don't approach new people that well.

- Really? - Once friends, for a long time?

Yeah. Rather than me, Wendy.

I usually approach people...

I've gotten shy lately, but before... Before? No.

A few months back, I approached first to befriend new people.

I didn't think of them as strangers.

- I just thought of them as friends. - That reminds me of something.

- What? - When Wendy came as a trainee.

You know, right? That greeting?

She was very caring and kind. And how she looked.

Wendy looked really nice. She was all smiles and caring.

She wanted to help and I was grateful for her kindness.

- So I wanted to befriend her. - That would help.

Rather than worrying about it...

If you worry, that could show. That you're hesitant to approach.

So just put on a smile and carefully approach to become friends.

Then reenact with me, consider me your new friend.

- Chic and pretty friend. - Who?

- Who? - You wanna befriend me, but it's hard.

For example, you go over.

I did this in school also.

Hi.

Hi.

I'm Wendy.

- What do you want? - We're in the same class

so I wanted to say hi.

- Really? I want to be your friend too. - We're friends then. Our first day.

- What's that? - She would make trouble.

- First day being friends? - We made that humorous.

But it's good to approach without being worried.

- Yeah. - I did this in middle school.

Hi, I'm Seulgi. Hi, I'm Seulgi. I became friends like this.

- I get shy now, but then I wasn't. - You would of been cute.

- Hi, I went like this. - Hi, I'm Seulgi. - Let's be friends.

- I went like that. - Good to meet you, friend.

On first encounters,

- the vibe is important. - Yeah, the vibe, looks.

What I always say. That's important. When our fans saw us the first time,

I wondered what they thought. So I asked on our SNS.

For them to post in 7 syllables.

- Here are the comments. - This just appeared.

- Just appeared. - So many, in purple.

Color purple, what Irene likes.

Shall we each pick one? What we like?

- Very clever. - I found one I like.

What? Seulgi, you come and pick.

This one.

- Take it off like this? - Yeah, read it.

Someone said this, but shouldn't. 'No more studies.'

Gonna love us as much they wanna do away their studies, right?

But you should keep studying. Students should study and get smarter.

- I pick that one. - Which one? - Show us.

- 'I keep thinking of you.' - Oh, this one?

That makes my heart flutter. 'I keep thinking of you.'

- Doesn't sound good when I say it. - 'I keep thinking of you.'

'I keep thinking of you.'

- The tone of voice is important. - I found one.

- Can I pick two? - Go ahead, even 10.

This one's good.

What is ti?

What did you pick?

- Read for us. - 'My singer from now on.'

Enunciate better, 'My singer.'

'Your fan's here, hang in there.'

I know why Wendy chose 'My singer from now on.'

- Why? - Wendy... you know.

- Wendy cried reading a letter. - Yeah.

The words of 'My singer'

makes me cry.

My singer. I'm a singer because I wanted to become one.

But this word, my singer... I'll do my best.

- I'll work hard. Let's go to the end. - That gives us strength.

- I'll work hard to the finish, thanks. - I have one.

- Joy, what? - 'Pretty girl next to pretty girl.'

- Know this? - I know.

There's a dance that got us this nickname.

- Oh, this one. - Yeah.

- If you wanna dance, this. - Coming out in order? - Her leading.

When we came out in order.

- Good to hear that. - They called us by this then.

Yeri joined, so five of this saying now.

- Say it, pretty girl next to pretty girl... - Who's she?

- Who's she? - What?

- What are you doing? - Alright. Pretty girl, pick one.

I have one.

- 'Lured to be your fan.' - Where is it? - Way bottom.

You found a good one.

'Lured to be your fan.'

- This is how they talk now. - Yeah, fan.

That's the new hot word for being hooked on something.

- To have become a fan. - 'Lured to be your fan.' Love it.

Lure your fans.

- Ten fell for you now. - How many have you lured?

- Lured. - Yeah, you did.

- Anyone not picked? - Irene, you pick. - Me?

I wanna pick...

'Essential multi-vitamin.' 3rd line, way left.

The third line, way left. 'Essential multi-vitamin.'

- We're the vitamins? - Why pick this?

- Why? - I'm taking vitamins these days.

- Irene. - Irene's taking it hard these days.

It's not that hard, but anyways...

Seeing our fans gives me strength.

- Why take that? - Here it is, sorry.

- Fans give me energy, so this one. - I'll give you a present.

I picked this one, 'Your fan's here, hang in there.'

- Next to your vitamin comment. - Fans as vitamins. - Take this one.

- What is it? - 'Tell them I love them.' - I refuse.

- 'Tell them I love them.' - Tell them I refuse.

'Tell them I love them.'

Anyways, we had fun with the comments posted by our fans.

Left by our fans... sorry.

- Sorry, I'm nervous. - What are you doing?

Again. Do it over.

We talked about your first impressions of us.

Now, how to level up our first impressions.

Do you have an know-how? Can you talk about that?

Nice first impressions.

My first impressions wasn't that good back in school.

- Confessing? - My nickname was Cold Lady.

I think I know what Joy is talking about.

- Yeah, I think I know. - Smile and no smile looks different.

- I'm like that too. - So we're misunderstood, huh?

- Smile more. - We're the same.

They called me chic, saying I was hard to approach.

Now, you wouldn't think that. In my heart though,

I always want to make new firends.

From what I see, if you take courage to befriend someone,

you could befriend anyone.

- Wanna be my friend? Like this. - That's good to say.

And also, always smile.

Smiling faces are well liked.

- Good things happens if you smile. - No one would be mean.

Wendy has the best first impression.

- She's always smiling. - Only first impressions and not now?

- I love you even now. - Only my first impression?

- Tell her I love her. - Tell her I thank her.

Love you.

- Thanks. - Then, you can...

Your first impression is good and smiling is key.

Tell them how to always wear a pretty smile.

Show us.

- I just like people. - So nice.

- That wasn't insincere, right? - It was giving response.

I was just glad to meet new people and I was happy for each day.

I didn't get much stress and I enjoyed everything.

It's good to think on a positive note.

- Yeah, positive. - Yeah, a positive mind.

Because you could get trapped in thinking negative.

So always be happy and think positive.

Good fortunes come to those who smile, so let's do that.

Let's smile a lot and think positive.

- I smile a lot. - Yeah, do that.

- I smile a lot. - What are they doing?

I can't finish this well.

We talked about making good first impressions.

I hope our know-how helps you level up your first impressions.

You're watching Red Velvet's Level Up, The Velvet live.

- Unfortunately... - What's unfortunate? No.

- What are you gonna say? - Then I can't go on.

- Don't. - Don't? No.

- I gotta. - You got to?

It's time to say goodbye.

No.

We covered the album, showed you our live and listened to comments.

So time went by quick. How was today for you guys?

- Are we really finishing up? Sad to go. - Yeah, sad to go.

- It went by quick. - Yeah, that was in a blink.

We used to be really nervous. Today was like that too.

But we tried to talk more today.

And our talk was quiet fun.

So I enjoyed being here.

Showing you how we changed gets us nervous, but we wanted to

- see you so very much. - Yeah, I know what you mean.

- Missed so much, but nervous as well. - Yeah.

We wanted to do a great live also.

- I could done better though. - You did well.

- You did well. - Doing our live and meeting fans...

We worried a lot about the album.

But now I'm glad that you seem to like it so much.

The comments was comforting. I loved it.

- You guys, hurry. - Hearts.

6 million!

- Once again. - Hearts, 6 million!

- Thank you. - Exciting.

Happy to receive 6 million hearts. So much love on V-app.

- Do we have to finish now? - We got 6 million hearts.

Is there something we could do? We got 6 million hearts.

- Yeri, what do you wanna do? - How about 7 million?

Dance for 10 secs to celebrate 6 million hearts.

- Yeri? - Off-the-shoulder, 6 million push ups.

- Alright. - I'll take your 6 million.

What are you gonna give back? Giving back your love?

To say my comments...

- Why do you do that? - Great comment, please.

- Do something. - We got 6 million hearts.

As we said before, The Velvet album and 'One of these Nights.'

made us worry a lot, even now.

We worry even now and I'm getting nervous.

- Our youngest was worried? - What are you saying?

- Our youngest was worried? - Yeah, anyways.

- Sorry, keep going. - Sorry to interrupt.

Anyways, being on V-app with the member...

- I can't finish this. - Glad to be with fans, right?

Yeah, I'm glad to be here and there's an important thing.

- What is it? - I'm gonna say this.

- No one else can say this. - Hurry, say it.

What release at midnight?

You said you're gonna say it. You said you're gonna.

At midnight... You guys, this is important.

- Red Velvet's... - Important. - I'm gonna say it.

Our second music video and 'One of these Nights' will release.

- So please wait. - And with this album,

- we plan to often meet our fans. - Yeah, lots.

- Lots of preparations. - We'll hold fan signing nationwide.

So see you soon.

As much as you waited for us,

we'll show you great stages. This is the beginning.

You'll be with us, right? We'll show you great stages.

Can't you speak in English? Wendy?

- Nervous when it's all of a sudden. - Can I speak Japanese?

- Seulgi, Japanese. - I'll try and speak.

Go ahead.

Isn't that memorized?

I don't know what album is in Japanese. Album?

You know what I'm talking about, right?

- I'll get more ready next time. - Really? Seulgi, my girl.

- Speak Chinese, Joy. - I'll study it.

Sorry, I shouldn't have started it.

- Brought to you by - Red Velvet.

- Bye. - You guys, midnight.

For more infomation >> [ENG SUB] Red Velvet's Level UP! - The Velvet LIVE - Duration: 50:25.

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Fake News' Half of all Americans believe the media make up anti - Duration: 1:43.

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Forty-four percent of respondents in the 2017 Poynter Media Trust Survey say the media invent

�fake news� to make the president look bad.

Of that cohort, 24 percent say negative stories about Mr. Trump are made up �about half

of the time�; 14 percent �most of the time�; and 6 percent �all of the time.�

Seventy-seven percent of that cohort are Trump supporters, and 74 percent are Republicans.

The survey found that a substantial minority of Americans, 31 percent, believe the media

are the �enemy of the people,� a moniker Mr. Trump assigned to the national press in

February.

Among Trump supporters, that number is 63 percent

For more infomation >> Fake News' Half of all Americans believe the media make up anti - Duration: 1:43.

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TIMES WHEN PLAYERS SNEAK UP ON GOALIES😂⚽️ - Duration: 1:10.

Comment your favourite one

Thanks for watching like and subscribe

For more infomation >> TIMES WHEN PLAYERS SNEAK UP ON GOALIES😂⚽️ - Duration: 1:10.

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♡Nude Neutral make up look♡ - Duration: 7:35.

hello today I'm gonna be showing you how to do a natural look with a bit of

shimmer so I'm going to be using what I have he right now which is a collection

from ELF products mainly and some other stuff so to begin what I'm going to be

using the ELF poreless primer to make sure that the makeup stays and that it

doesn't cause any skin stuff then blend I it in with my hands, top tip have your

hair and tied up before you do it or else it's gonna get really messy it's gonna get in

there okay next I'm going to be using the elf concealer to give it that nice

natural look so you're gonna use it on my eyes so that the eyeshadow doesn't stay

on when you're gonna try to get off and also a bit under for any like dark heavy

bags if you don't sleep like me! I'm gonna take this body shop eye- shadow brush

but you can use it for basically anything I'm just gonna blend it making

sure to not leave anything that also to not make it looks weird

then I'm gonna get the elf HD disarming and powder which never wants to open

ready for next we have some technical difficulties I found the way to open

this it's called give it to a parent so what

I'm gonna do is I'm gonna take a little eye shadow brush and then I'm just gonna

kinda underneath because then the concealer won't show as much and they

look more natural

okay so next I'm gonna be using this radiant highlighter from the body shop

and put a bit on my hand and it's really good if you want to pile it on here then

here and then the rest we just like goodbye and then blend it in you're

gonna blend it out with the elf powder brush which is really good flick thicker

jobs it blends in and it catches a lot of product so this brush is really great

and I think that you can use it for contouring blush mixing in highlighter

just anything basically and now I'm gonna be doing the little nip thing so

I've got the bodyshop strawberry lip butter now he's gonna put a bit I make

that and right now I think 2017 with the big panels like the nudes the news and

Matt's so I've got this The Body Shop matte lip liquid which is in the shade

dark Rouge and I'm just gonna apply it

I like you because quite a neutral shade and it doesn't taste weird in and

doesn't stick which is quite good and then I combined it with this lip definer

from the body shop which I think really suits in complement sir I think if you

want to get like a shape get the lip liner as well which I really think is a

good idea so now I'm gonna move on to the eyes so because I'm ready put the

concealer on you can start with the eye shadow so I'm cut this palette I got it

for Christmas it's a Stila palette and has loads of different units amazing and

it tells you how to do it so you can get the highlighter increase the lead but

right now we're basically just gonna be looking at the more neutral ones which

is which are these ones this shade and they show you the shades captivating and

curious so we're taking the elf defining I brush which plugs reading my sleep I'm

gonna take this shade which is the shade captivating and when you're gonna put it

on the lid it's like a small base and it's a really nice neutral color but it

gives loads of shimmer do you like and then I'm gonna be using

big base another color which is called curious which is like to be the base but

I like you on top there and just for a extra coating of shimmer I'm gonna be

messing the 17 gold shimmer so for a little extra it's really nice and that's

it with the eye shadow next I'll be using this off mascara

which is eyelet I love the packaging it's really funny but it's really cute

it's really simple don't like and the brush the the wand where is what the

beginning I was like this is really thin but then I used it just really help so

I'm just gonna play that on the top and then the lashes on the waterline

and yeah so now I'm just gonna finish off my IRA with leave brows shape to

keeping you as neutral as possible and that's it for the eyes so now that we're

done with second nude eye look we're just gonna go to the cheeks so we're

gonna keep as minimal as possible just do some light blush and some light

contouring I took this elf blush I don't I think the shade is cry but a really

nice buttery nice because it's quite pigmented but it leaves a nice color so

yeah it's a nice blush if you're looking to find a nice blush with quite a good

price range because other brushes are quite good like the Mac ones but for

more kids my age I think this is a really good one and then finally I'm

going to be using the elf contouring palette bronzing palette and it's got

four colors I recommend basically this one and this

one and this one for the cheekbones so that's what I'm gonna be applying right

now and I think this palette is really nice because it offers a shade range so

if you're more of like a dark skin tone you'd prefer these sets but if you're

like a bit more light then you'd prefer these but I use them all because I feel

this gives quite a nice highlight well the other ones just I use for the actual

reasons but these ones aren't as pigmented as they get should be and once

you're done with that we're done so I hope you enjoyed this video give a

thumbs up and goodbye

For more infomation >> ♡Nude Neutral make up look♡ - Duration: 7:35.

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RED BREAKING: McCabe COVERED UP Secret Meeting Between Mueller and Comey! - Duration: 3:34.

For more infomation >> RED BREAKING: McCabe COVERED UP Secret Meeting Between Mueller and Comey! - Duration: 3:34.

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James Harrison Breaks Silence: I Didn't Sign Up To Be A Cheerleader - Duration: 0:36.

For more infomation >> James Harrison Breaks Silence: I Didn't Sign Up To Be A Cheerleader - Duration: 0:36.

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[FMV] BTS (방탄소년단) V × RM × Jin _ WAKE ME UP - Duration: 3:42.

I'm awakening a different me inside

The faint light that was turned off

Wake me up, open my eyes

Yeah wake me up

The answer that the world wants

Is blind to its desperation

Having a voice (Spreading myself out)

Even if there's a delay, I keep walking

Throw away your worries

In that reality, benefits are like butter

Yeah wake me up I'm spreading my new self out, what

Right now, I'm giving it my all

Looking for the hidden truth

Wake me up, open my eyes

Yeah wake me up

Even the soul inside of me

I'll burn it up without anything remaining

Wake me up, wake it all up

Yeah wake me up

Wake me up, wake it all up

Yeah wake me up

Wake me up, wake it all up

Yeah wake me up

For more infomation >> [FMV] BTS (방탄소년단) V × RM × Jin _ WAKE ME UP - Duration: 3:42.

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[ENG SUB] Red Velvet's Level UP - 깜짝 LIVE! - Duration: 21:55.

- Is it ready? There is no one here yet. - We have started but no one is watching.

- Oh, one viewer. Let's wait. - I think we should wait.

6 people, how do I see the comments?

Hello, this is so sudden huh?

- Hello. - The students... what day is it today?

- Students are at school now, huh? - It's a Tuesday today.

Hello, everyone.

Don't say anything.

The reason why we turned on V app is because there are new members that we haven't announced yet.

We wanted to do a surprise announcement. Who's foot is that?

- I was surprised. - We did a broadcast before, with just us...

- randomly but today we really wanted to

- communicate with all our fans. - We really want to see you guys.

- Turn on V app, come in! - 350 viewers.

Shall we start? Shall I wait a little bit longer?

- Then, I won't let you go on. - Hold on just a minute.

- We can't do it for too long. - Who is that?

Who is that?

Let's just start with the announcement.

There are 1700 people here.

Hurry.

Members!

- Come in. - I am so comfortable down here.

Can you show Wendy? She is at one with the lockers.

She is part of the locker. Say hi.

Stand up.

Finally, we are 5!

We are Red Velvet!

Let's just act normal.

Happiness! Hello, we are Red Velvet!

- This is a real random V app! - Our hair styles have changed huh?

- Why is your shirt ripped? - She ripped it this morning.

What emotional dilemma are you going through for you to change your hair like this?

- Hair like this, ripping clothes... - I will express my anger right now.

- It's because I haven't seen our fans. - Why are you doing that? - Sorry.

- The hair is so pretty. - It true.

- The color will come out real quick. - You looked like a mermaid.

- You really looked like a mermaid. - Yeri, did you just speak English?

I'm really good at English.

- Like a mermaid. - What are you then? - I don't know...

- It looks like strawberry milk. - That's right, they said my hairstyle is called "strawberry milk".

- Really? - Yes, the hair designer said that.

It's so pretty. And Joy cut her hair short.

She has the shortest hair out of all of us.

- I cut my hair. - It's pretty. - Very pretty.

- You suit it. - Why are you doing that?

- Have you been well? - It's not just us three that changed our hair style.

If you look, Irene cut her hair a little too.

We have all changed our hair.

First, our leader changed her hair to black, just like the fans wanted.

You need to shake it.

So you don't get dizzy, let's just shake the cellphone.

- That was very thoughtful. - Just do it. - And Seulgi...

- cut her hair too. - My hair was grey before...

but it was so damaged that

I cut it and dyed it again.

- Ombré? - It was done in a grey ombré style.

But, I cut it and came back to black.

- It's shorter. - I cut off all my damaged hair.

- Did you cut it or did it break? - It broke.

- Where is our youngest hiding? - Strawberry milk.

Angry sister, come here!

We changed our nail colors too.

- We did our nails the way we wanted with the colors we chose.

- Let's all show them. - I have the Lemona (vitamin C snack) color.

- I have orange. - This is a popular color these days, I don't know the name.

- Paste color. - Isn't this kind of like Xylitol (gum)?

- Doesn't it remind you of gum? - It's really popular these days...

- Don't you think your nails are similar to Irene's shirt? - Wendy, what color did you get? - I did mine today.

- It's purple. - Doesn't it look like candy? - Purple is my color.

- Purple is Yeri's color. - It's not mine, mine is pink.

- I want pink too. - Isn't purple more memorable?

So, we turned this on...

to communicate with the fans. If you have any questions to ask, please write us a comment.

I know it was so random. We are also broadcasting on V app tomorrow.

We really just wanted to see you guys so we got permission to go on for a little bit.

Since we are here, please ask us your questions!

- Please hurry~ - While we are waiting for you to comment,

We were thinking about what to do before...

We take lots of selfies and we wanted to show you a little bit. Oh, it's backwards.

To show you, I brought my own camera.

- That' cute. - That's right, I brought my cute phone.

You can't show anyone our weird pictures. Just the pretty ones.

- Wendy, can you come into the shot? - Where is the mermaid?

She's angrier now. Her hair is brighter red.

- Everyone, please write more comments. - I just read a comment and it said...

"What is the concept this time? What should we expect?"

I think there were lots of comments like that. I know we changed our styles to look more powerful!

What look can everyone expect from us?

- "July July"... - "July July"!!

We have "July 7th", which is a ballad.

The song is very dreamy and vocally challenging to show you guys our talents.

More information will be on tomorrow's V app broadcast.

We are also releasing new song tomorrow so, please watch!

- Today, the music video for "July 7th" will be released. - Why are you making it sound like it's someone else's?

- Our music video is going to be released today. - Did you guys see the teaser?

- Did you see the tease? - I was shocked when I saw it too.

- Seulgi and you, sorry. - It's not me!

- It's not me! - Sorry.

- This is the mirror and a seal. - A seal?

- Flowing water... - She said a seal.

- We thought you said a seal. - Not a seal, like flowing water.

Can you show us a seal show? Start!

- Red seal! Show us. - Start!

- Hurry up and show us. - Mermaid seal.

That was cute. Very cute.

The reflection in the mirror and how the was coming down...

- It looked real cool. - It was really effective.

And, what I really liked about our music video is...

Yeri lying is on a boat and that scene was so pretty that...

- I took lots of pictures... - I have it on here.

I have it. Wendy sent me all the pictures after the shoot.

They had to shoot the video but I kept trying to take pictures so...

We said we were going to do a Q&A, please send us some quetsions.

"Yeri's wink and cute poses"

- Very good. - How can you do both sides?

If you relax your eyes, it's easy.

I am really good.

That's good.

- Anything you are curious about? - "A line from your title song"

We are not able to do that because it hasn't been announced.

Please watch the music video today.

Tonight, watch the music video.

- Did the medley get released? - That's right, since a little bit has been released

let's try highlights of your favorite song.

We are curious.

How is that?

- "Is it your first time?" - "I really don't know... I am so nervous..." up to here.

How about "July 7th"?

- Can we? - Just a little bit.

A little?

No?

- Please watch the music video. - It is being released today.

- Please wait a little bit. - It is a masterpiece by our teacher, Lee Sooman.

"The scent of a rose..."

"is flying in the wind" up to here!

- Awesome. - It is being released at midnight.

Yes, everyone, please listen.

Compared to the songs in "Dumb Dumb"

this one has songs with a different vibe.

- I am tired. - I will hold it.

- Can't we do this? - This isn't stopped or anything right?

- What happens if you press this? - It is not connected.

- It's not connected. - It's fine. - Anything you want to ask?

"Looking forward to the music video."

"Who is the member who suited this concept the most?"

I think everyone did well and with our power look...

And, maybe a little more mature now?

And, we returned to our original "Velvet" concept!

This is our first ballad and a new concept...

So, everyone is liking how new and fresh it is.

- We need to read the questions. - "Wendy, can you sing a little bit of 'It's Spring'?"

Everyone, love you. Thank you.

- Vocalist Wendy. - "It's Spring!"

- That's going to be a screenshot. - So cute.

"A gap between our hands holding together"

"a gap between our clothes are getting thinner"

"Spring has permeated in us..."

- "suddenly and it changed us" - "I think it's spring~"

I think it is a great song to listen to in Spring.

- That's right. - It's Spring now. Today's weather is so nice.

- Is there rap in the song? - Our song is a ballad.

- It is a ballad. - A ballad.

Our song is a ballad...

but there is a dance too.

We wanted to show you something different in the performance.

What! You just gave a spoiler!

- She showed them! - What did you do?!

What did you do?

- Did you move your arm? - What did you wave in the air?

- What is it. - I don't know.

For our performance we have

- prepared something. - To give you a hint...

- We are only going to tell our fans. - We haven't said anything to anyone.

- It's a secret. - This is our secret. There are 20,000 viewers right now...

- What are you saying...? - What have we prepared? Whisper it to them.

Performance.

Stand mic.

Mic stand.

To help with our performance, we have prepared... one more time!

- "Mic stand" - We prepared that.

- Amazing, fantastic. - Are you looking forward to it?

Please look forward to it and since you guys are feeling a little down...

we will sing you one line of the song...

Start!

Up to here!

"The time we loved..."

- Just to here. - Listen at midnight.

Please wait until midnight. What is the time?

- It is 3:50pm. - And the selfies!

Because you guys are all over the place, I forgot.

- Hello, Mexico. - Let's communicate while you guys finding it .

- I will find it. - I can't find it.

- "I won't sleep until midnight." - Hi Indonesia!

Can we show them a Velvet version of a selfie?

I just read a sad comment. Something about everyone being short...

No, I'm tall. Really tall.

No, stand over here.

- You are like 180cm. - You are so big.

Everyone, I am the second tallest here.

When I was a trainee, I was really short.

I measured my height at the hospital and I grew by 1cm.

- Really? - 1,2cm taller.

- Congratulations. - How did that happen?

Did you put something inside your socks?

No. I really took off my socks and everything.

- They measure my weight and height. - Just pull out your neck.

I didn't stand tall. I just grew by 1,2cm. Hello, Argentina!

This movie's episode?

I wonder what we have...

Well, we didn't do so much dancing...

- but the staff struggled a lot during the shoot. - That's true.

We haven't seen the music video yet but when we were shooting it,

we were like "Wow, how did we shoot this?"...

but all the crew members were doing the hard work.

They were amazing. I think that's why the movie is going to be great. Please watch it!

- Yes, please watch it. - "What did you eat to become so pretty, Seulgi?"

The love from everyone?

Seulgi, you know that thing...?

- Show us "71"! - Ah, everyone, thank you so much.

Thank you very much.

I placed 71st on this chart.

I don't know how this happened. It is a celebration for our family.

- Please show me. - But, I am not...

Please show us your good side, with good angles.

- Is this the prettiest? - The love from everyone.

- Shall we do a solo shot with Seulgi? - Let's show them.

Everyone, thank you so much. I love you so much.

I want to go full length shot.

Everyone, I found the selfie.

- I have many pictures in my gallery. - Where is the last member?

But, this first picture is of Irene and I...

- when we went to the recording for "Weekly Idol" - We wanted to cover our hair...

because we dyed our hair this color, so we had wigs on...

It was a wig with bangs too...

- So, even with hair spray, it kept falling down. - Wendy and Irene had a terrible time.

Everyone teased us so much because of those wigs.

- Joy! - I got teased a lot from the other members.

I wore the wig and went to the house.

And, in the messenger, they were messages like "hehehehehe"

- "Both of your wigs looked funny" - Yes, it looked funny.

We really wanted to hide our hair during "Weekly Idol"

so Irene and I took pictures like this.

- Yes, we walked around like this. - So cute.

- We did this and... - Hello~

On the same day, this is Joy~

- We covered everything. - So cute!

- Oh, so cute! - Is that Joy?

- Next, Irene and I with our wigs on. - This day was so funny.

- I can't tell whether or not you are wearing a wig. - We are wearing wigs.

This day the wigs kept moving.

- It was really difficult. - It kept going back.

Today's selfie with Joy...

Cute, right?

Pretty.

Cute.

So cute.

Cute, right? There is one with me in the studio

- When I was tired. - So tired but not enough to take pictures.

- I was really tired. - So funny.

We still have lots of selfies to show you. On all our phones.

We will release little by little next time.

Because this was a surprise broadcast, we will wrap up here.

We will try and show you more things during our activities.

- Although this was a surprise broadcast... - You are struggling to talk right now...

- It was so quiet, that's why. - You were talking...

Everyone, you were shocked at our surprise broadcast... right?!

Yes, we were so shocked!

We wanted to give our fans something before our big comeback...

We were always hiding behind something before.

And, most importantly,

at midnight tonight, our song will be released.

- Tonight, the music video will be released. - We wanted to let you know.

- That's right, we will be on V app tomorrow night as well.

- At 10pm. Let's see each other again tomorrow. - I wonder what they have planned tomorrow too.

Today's broadcast was tomorrow's V app teaser~

- That was good. - Don't miss it!

Teaser should be short and mysterious! So, we will finish here.

Thank you so much for being with us today. We will see you tomorrow!

- See you tomorrow. - Please listen to our new song and watch the music video!

- Please watch the video! - Can you wrap up?

- Do you want to do it? - No, you do it!

- I will do it. - Ok, you do it.

- 2, 3, and then go? - Up until now... We were Red Velvet!

- I wanted to do it. - Okay, okay, let's start again.

Up until now...

- I said, I wanted to do it! - Okay, 2, 3, you do it...

- Start? - Should I do it?

- Up until now, we were Red Velvet! - Up until now...

- Why?! - The youngest...

2, 3! Up until now, we were Red Velvet!

Goodbye~