💕「愛台灣,我的選擇」系列第14發:環境科學家馬耐德發現台灣的生物多樣性與供應鏈的關鍵角色
「我來自美國加州聖地亞哥,畢業於美國創價大學,主修環境科學,當時主要從事淡水魚和基礎漁業的研究。隨後我到加州蒙特瑞國際研究學院攻讀碩士,研究海洋及沿海資源管理。當時其中一位教授就是來自台灣,她告訴我:『你應該去台灣看一看。』很多旅居海外的台灣人都會這樣鼓勵外國人拜訪台灣。
而我後來也的確到台灣進行了一個海峽兩岸的研究,作為唯一一位環境科學學人,我必須要想一個能在台北和上海演講的主題,垃圾就是一個最明顯的題材。因為當你來到台灣,你會發現台灣街道上都沒有垃圾,這點讓我感到非常新奇,為什麼會沒有垃圾呢?當時我也發現並沒有什麼關於台灣廢棄物管理轉型的英文資訊,所以我就決定住在台灣,研究這個讓我很著迷的題目。那是2013年的事,後來我獲得傅爾布萊特獎助金在墾丁海生館擔任訪問學者一年,至此之後我就待了下來。大約六個月前,我開始在銳思碳管理顧問公司上班,我們負責協助大型品牌和他們的供應鏈設定並達成碳供應鏈目標。這是我們剛在台灣成立的新辦公室,公司的總部在香港,但我們想要把重心移到台灣,因為台灣是關鍵的供應鏈環節。我們認為台灣將在永續報告和減碳目標上持續成長,而且台灣真的是個好地方。
台灣有很多我很喜歡的優點,我覺得最棒但很少被注意到的一點是台灣的生物多樣性。台灣是亞熱帶島嶼,擁有非常豐富多樣的原生種和特有種,美麗的蝴蝶、螢火蟲、珊瑚、鯨鯊、鮪魚、熊……物種多到我三天三夜都講不完。而且就算不開車,也很容易親近大自然。我也喜歡騎單車,台灣的單車道做的非常好,還有優質的單車品牌和產品。我在台灣大多時候過的很不錯,沒什麼好抱怨的,食物也好吃。而且台灣人基本上對科學有充分的信任和熱忱,許多民選官員都曾經是醫生、科學家、工程師等等,連總統都曾發表過博士論文。台灣的前副總統大概是地球上最有資格帶領對抗新冠疫情的領袖。感覺上,台灣有很多科學家,當個理工宅男好像也很OK。」
✨馬耐德(Nate Maynard)連續兩年(2014及2015 年)榮獲美國傅爾布萊特獎助學金,現為「鬼島之音Waste Not Why Not」節目製作及主持人,及銳思碳管理顧問股份有限公司高級顧問。
💕Why I chose Taiwan #14 – Environmental sciences scholar Nate Maynard discover Taiwan’s and its key role in supply chains
"I’m from San Diego California originally. My undergrad was from Soka University of America; liberal arts with a concentration in environmental studies, and I work on fresh-water fishes mostly and basic fisheries. And then my Master’s program was at the Monterey Institute of International Studies with a concentration in ocean and coastal resource management. One of my professors was Taiwanese, and she said: ‘you gotta go to Taiwan,’ as most Taiwanese people living abroad will tell foreigners.
And I did go visit Taiwan for a cross-Strait research trip, and as the only environment person, I had to come up with something I could talk about in Taipei and Shanghai, and garbage was the most obvious thing. Because when you come to Taiwan, there’s no garbage, and I became fascinated: Why is there no garbage? I realized there really wasn’t much information in English about Taiwan’s waste management transformation, and that’s sort of how I got hooked and decided I wanted to live in Taiwan. That was 2013. And then I got the Fulbright Fellowship and spent a year at the National Aquarium in Kenting....and they haven’t been able to get me to leave. About six months ago, I started working for a private consulting firm called Reset Carbon. We help major brands and their supply chains set and achieve carbon supply chain targets. This is a new office that we just set up in Taiwan. The company’s headquarter is in Hong Kong, but we wanted to pivot to Taiwan because Taiwan’s the key supply chain link. We expect to see Taiwan growing in terms of sustainability reporting, carbon reduction goals, and Taiwan’s just a nice place.
There’s a couple things that I really enjoy about Taiwan. I think the best thing that doesn’t get enough coverage is biodiversity. Taiwan is a sub-tropical island. It’s full of native and endemic species, beautiful butterflies, fireflies, coral, whale sharks, tuna, bears...I can list the animals for hours. It’s easy for me to go and get access to nature, even without a car. I also enjoy biking and Taiwan has excellent biking infrastructure, and great bike companies that make fine products. Most aspects of my life in Taiwan are pretty good. I can’t complain. Food is great too. I think there’s also a general trust and enthusiasm for science in Taiwan. I mean there’s a lot of elected officials that are doctors, scientists, engineers, and the president has published papers as a PhD. And you know, the vice president was probably the most qualified person on Earth to lead the COVID response. In Taiwan, it feels like the scientists are pretty well-represented, and like being a nerd is kinda okay." -- Nate Maynard
✨Nate Maynard won Fulbright Fellowship two times in a row (2014-15, 2015-16), now serving as a program host and producer of “Waste Not Why Not” with Ghost Island Media and a senior consultant at Reset Carbon.
同時也有56部Youtube影片,追蹤數超過139萬的網紅Jessica Vu,也在其Youtube影片中提到,Ah yes it's a classic makeup tutorial + colorful eyeshadow! ALSO this pink + orange blush combo? Feeling kinda pwetty ꒰◍ᐡᐤᐡ◍꒱ Thank you to Revlon fo...
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Strong Bond 🗝
call me at 3am to talk about your worries kinda relationship ☎️ xx
Fashion snap organised by @fameglory @mayaoo
Styled by @yoyokwans
Shot by @hungmc
Makeup by @stephenmakeup
Hair by @zaptang
Look: @rasario @farfetch
Jewellery: @bulgari
kinda talk 在 Taipei Ethereum Meetup Facebook 的最讚貼文
📜 [專欄新文章] Uniswap v3 Features Explained in Depth
✍️ 田少谷 Shao
📥 歡迎投稿: https://medium.com/taipei-ethereum-meetup #徵技術分享文 #使用心得 #教學文 #medium
Once again the game-changing DEX 🦄 👑
Image source: https://uniswap.org/blog/uniswap-v3/
Outline
0. Intro1. Uniswap & AMM recap2. Ticks 3. Concentrated liquidity4. Range orders: reversible limit orders5. Impacts of v36. Conclusion
0. Intro
The announcement of Uniswap v3 is no doubt one of the most exciting news in the DeFi place recently 🔥🔥🔥
While most have talked about the impact v3 can potentially bring on the market, seldom explain the delicate implementation techniques to realize all those amazing features, such as concentrated liquidity, limit-order-like range orders, etc.
Since I’ve covered Uniswap v1 & v2 (if you happen to know Mandarin, here are v1 & v2), there’s no reason for me to not cover v3 as well ✅
Thus, this article aims to guide readers through Uniswap v3, based on their official whitepaper and examples made on the announcement page. However, one needs not to be an engineer, as not many codes are involved, nor a math major, as the math involved is definitely taught in your high school, to fully understand the following content 😊😊😊
If you really make it through but still don’t get shxt, feedbacks are welcomed! 🙏
There should be another article focusing on the codebase, so stay tuned and let’s get started with some background noise!
1. Uniswap & AMM recap
Before diving in, we have to first recap the uniqueness of Uniswap and compare it to traditional order book exchanges.
Uniswap v1 & v2 are a kind of AMMs (automated market marker) that follow the constant product equation x * y = k, with x & y stand for the amount of two tokens X and Y in a pool and k as a constant.
Comparing to order book exchanges, AMMs, such as the previous versions of Uniswap, offer quite a distinct user experience:
AMMs have pricing functions that offer the price for the two tokens, which make their users always price takers, while users of order book exchanges can be both makers or takers.
Uniswap as well as most AMMs have infinite liquidity¹, while order book exchanges don’t. The liquidity of Uniswap v1 & v2 is provided throughout the price range [0,∞]².
Uniswap as well as most AMMs have price slippage³ and it’s due to the pricing function, while there isn’t always price slippage on order book exchanges as long as an order is fulfilled within one tick.
In an order book, each price (whether in green or red) is a tick. Image source: https://ftx.com/trade/BTC-PERP
¹ though the price gets worse over time; AMM of constant sum such as mStable does not have infinite liquidity
² the range is in fact [-∞,∞], while a price in most cases won’t be negative
³ AMM of constant sum does not have price slippage
2. Tick
The whole innovation of Uniswap v3 starts from ticks.
For those unfamiliar with what is a tick:
Source: https://www.investopedia.com/terms/t/tick.asp
By slicing the price range [0,∞] into numerous granular ticks, trading on v3 is highly similar to trading on order book exchanges, with only three differences:
The price range of each tick is predefined by the system instead of being proposed by users.
Trades that happen within a tick still follows the pricing function of the AMM, while the equation has to be updated once the price crosses the tick.
Orders can be executed with any price within the price range, instead of being fulfilled at the same one price on order book exchanges.
With the tick design, Uniswap v3 possesses most of the merits of both AMM and an order book exchange! 💯💯💯
So, how is the price range of a tick decided?
This question is actually somewhat related to the tick explanation above: the minimum tick size for stocks trading above 1$ is one cent.
The underlying meaning of a tick size traditionally being one cent is that one cent (1% of 1$) is the basis point of price changes between ticks, ex: 1.02 — 1.01 = 0.1.
Uniswap v3 employs a similar idea: compared to the previous/next price, the price change should always be 0.01% = 1 basis point.
However, notice the difference is that in the traditional basis point, the price change is defined with subtraction, while here in Uniswap it’s division.
This is how price ranges of ticks are decided⁴:
Image source: https://uniswap.org/whitepaper-v3.pdf
With the above equation, the tick/price range can be recorded in the index form [i, i+1], instead of some crazy numbers such as 1.0001¹⁰⁰ = 1.0100496621.
As each price is the multiplication of 1.0001 of the previous price, the price change is always 1.0001 — 1 = 0.0001 = 0.01%.
For example, when i=1, p(1) = 1.0001; when i=2, p(2) = 1.00020001.
p(2) / p(1) = 1.00020001 / 1.0001 = 1.0001
See the connection between the traditional basis point 1 cent (=1% of 1$) and Uniswap v3’s basis point 0.01%?
Image source: https://tenor.com/view/coin-master-cool-gif-19748052
But sir, are prices really granular enough? There are many shitcoins with prices less than 0.000001$. Will such prices be covered as well?
Price range: max & min
To know if an extremely small price is covered or not, we have to figure out the max & min price range of v3 by looking into the spec: there is a int24 tick state variable in UniswapV3Pool.sol.
Image source: https://uniswap.org/whitepaper-v3.pdf
The reason for a signed integer int instead of an uint is that negative power represents prices less than 1 but greater than 0.
24 bits can cover the range between 1.0001 ^ (2²³ — 1) and 1.0001 ^ -(2)²³. Even Google cannot calculate such numbers, so allow me to offer smaller values to have a rough idea of the whole price range:
1.0001 ^ (2¹⁸) = 242,214,459,604.341
1.0001 ^ -(2¹⁷) = 0.000002031888943
I think it’s safe to say that with a int24 the range can cover > 99.99% of the prices of all assets in the universe 👌
⁴ For implementation concern, however, a square root is added to both sides of the equation.
How about finding out which tick does a price belong to?
Tick index from price
The answer to this question is rather easy, as we know that p(i) = 1.0001^i, simply takes a log with base 1.0001 on both sides of the equation⁴:
Image source: https://www.codecogs.com/latex/eqneditor.php
Let’s try this out, say we wanna find out the tick index of 1000000.
Image source: https://ncalculators.com/number-conversion/log-logarithm-calculator.htm
Now, 1.0001¹³⁸¹⁶² = 999,998.678087146. Voila!
⁵ This formula is also slightly modified to fit the real implementation usage.
3. Concentrated liquidity
Now that we know how ticks and price ranges are decided, let’s talk about how orders are executed in a tick, what is concentrated liquidity and how it enables v3 to compete with stablecoin-specialized DEXs (decentralized exchange), such as Curve, by improving the capital efficiency.
Concentrated liquidity means LPs (liquidity providers) can provide liquidity to any price range/tick at their wish, which causes the liquidity to be imbalanced in ticks.
As each tick has a different liquidity depth, the corresponding pricing function x * y = k also won’t be the same!
Each tick has its own liquidity depth. Image source: https://uniswap.org/blog/uniswap-v3/
Mmm… examples are always helpful for abstract descriptions 😂
Say the original pricing function is 100(x) * 1000(y) = 100000(k), with the price of X token 1000 / 100 = 10 and we’re now in the price range [9.08, 11.08].
If the liquidity of the price range [11.08, 13.08] is the same as [9.08, 11.08], we don’t have to modify the pricing function if the price goes from 10 to 11.08, which is the boundary between two ticks.
The price of X is 1052.63 / 95 = 11.08 when the equation is 1052.63 * 95 = 100000.
However, if the liquidity of the price range [11.08, 13.08] is two times that of the current range [9.08, 11.08], balances of x and y should be doubled, which makes the equation become 2105.26 * 220 = 400000, which is (1052.63 * 2) * (110 * 2) = (100000 * 2 * 2).
We can observe the following two points from the above example:
Trades always follow the pricing function x * y = k, while once the price crosses the current price range/tick, the liquidity/equation has to be updated.
√(x * y) = √k = L is how we represent the liquidity, as I say the liquidity of x * y = 400000 is two times the liquidity of x * y = 100000, as √(400000 / 100000) = 2.
What’s more, compared to liquidity on v1 & v2 is always spread across [0,∞], liquidity on v3 can be concentrated within certain price ranges and thus results in higher capital efficiency from traders’ swapping fees!
Let’s say if I provide liquidity in the range [1200, 2800], the capital efficiency will then be 4.24x higher than v2 with the range [0,∞] 😮😮😮 There’s a capital efficiency comparison calculator, make sure to try it out!
Image source: https://uniswap.org/blog/uniswap-v3/
It’s worth noticing that the concept of concentrated liquidity was proposed and already implemented by Kyper, prior to Uniswap, which is called Automated Price Reserve in their case.⁵
⁶ Thanks to Yenwen Feng for the information.
4. Range orders: reversible limit orders
As explained in the above section, LPs of v3 can provide liquidity to any price range/tick at their wish. Depending on the current price and the targeted price range, there are three scenarios:
current price < the targeted price range
current price > the targeted price range
current price belongs to the targeted price range
The first two scenarios are called range orders. They have unique characteristics and are essentially fee-earning reversible limit orders, which will be explained later.
The last case is the exact same liquidity providing mechanism as the previous versions: LPs provide liquidity in both tokens of the same value (= amount * price).
There’s also an identical product to the case: grid trading, a very powerful investment tool for a time of consolidation. Dunno what’s grid trading? Check out Binance’s explanation on this, as this topic won’t be covered!
In fact, LPs of Uniswap v1 & v2 are grid trading with a range of [0,∞] and the entry price as the baseline.
Range orders
To understand range orders, we’d have to first revisit how price is discovered on Uniswap with the equation x * y = k, for x & y stand for the amount of two tokens X and Y and k as a constant.
The price of X compared to Y is y / x, which means how many Y one can get for 1 unit of X, and vice versa the price of Y compared to X is x / y.
For the price of X to go up, y has to increase and x decrease.
With this pricing mechanism in mind, it’s example time!
Say an LP plans to place liquidity in the price range [15.625, 17.313], higher than the current price of X 10, when 100(x) * 1000(y) = 100000(k).
The price of X is 1250 / 80 = 15.625 when the equation is 80 * 1250 = 100000.
The price of X is 1315.789 / 76 = 17.313 when the equation is 76 * 1315.789 = 100000.
If now the price of X reaches 15.625, the only way for the price of X to go even higher is to further increase y and decrease x, which means exchanging a certain amount of X for Y.
Thus, to provide liquidity in the range [15.625, 17.313], an LP needs only to prepare 80 — 76 = 4 of X. If the price exceeds 17.313, all 4 X of the LP is swapped into 1315.789 — 1250 = 65.798 Y, and then the LP has nothing more to do with the pool, as his/her liquidity is drained.
What if the price stays in the range? It’s exactly what LPs would love to see, as they can earn swapping fees for all transactions in the range! Also, the balance of X will swing between [76, 80] and the balance of Y between [1250, 1315.789].
This might not be obvious, but the example above shows an interesting insight: if the liquidity of one token is provided, only when the token becomes more valuable will it be exchanged for the less valuable one.
…wut? 🤔
Remember that if 4 X is provided within [15.625, 17.313], only when the price of X goes up from 15.625 to 17.313 is 4 X gradually swapped into Y, the less valuable one!
What if the price of X drops back immediately after reaching 17.313? As X becomes less valuable, others are going to exchange Y for X.
The below image illustrates the scenario of DAI/USDC pair with a price range of [1.001, 1.002] well: the pool is always composed entirely of one token on both sides of the tick, while in the middle 1.001499⁶ is of both tokens.
Image source: https://uniswap.org/blog/uniswap-v3/
Similarly, to provide liquidity in a price range < current price, an LP has to prepare a certain amount of Y for others to exchange Y for X within the range.
To wrap up such an interesting feature, we know that:
Only one token is required for range orders.
Only when the current price is within the range of the range order can LP earn trading fees. This is the main reason why most people believe LPs of v3 have to monitor the price more actively to maximize their income, which also means that LPs of v3 have become arbitrageurs 🤯
I will be discussing more the impacts of v3 in 5. Impacts of v3.
⁷ 1.001499988 = √(1.0001 * 1.0002) is the geometric mean of 1.0001 and 1.0002. The implication is that the geometric mean of two prices is the average execution price within the range of the two prices.
Reversible limit orders
As the example in the last section demonstrates, if there is 4 X in range [15.625, 17.313], the 4 X will be completely converted into 65.798 Y when the price goes over 17.313.
We all know that a price can stay in a wide range such as [10, 11] for quite some time, while it’s unlikely so in a narrow range such as [15.625, 15.626].
Thus, if an LP provides liquidity in [15.625, 15.626], we can expect that once the price of X goes over 15.625 and immediately also 15.626, and does not drop back, all X are then forever converted into Y.
The concept of having a targeted price and the order will be executed after the price is crossed is exactly the concept of limit orders! The only difference is that if the range of a range order is not narrow enough, it’s highly possible that the conversion of tokens will be reverted once the price falls back to the range.
As price ranges follow the equation p(i) = 1.0001 ^ i, the range can be quite narrow and a range order can thus effectively serve as a limit order:
When i = 27490, 1.0001²⁷⁴⁹⁰ = 15.6248.⁸
When i = 27491, 1.0001²⁷⁴⁹¹ = 15.6264.⁸
A range of 0.0016 is not THAT narrow but can certainly satisfy most limit order use cases!
⁸ As mentioned previously in note #4, there is a square root in the equation of the price and index, thus the numbers here are for explantion only.
5. Impacts of v3
Higher capital efficiency, LPs become arbitrageurs… as v3 has made tons of radical changes, I’d like to summarize my personal takes of the impacts of v3:
Higher capital efficiency makes one of the most frequently considered indices in DeFi: TVL, total value locked, becomes less meaningful, as 1$ on Uniswap v3 might have the same effect as 100$ or even 2000$ on v2.
The ease of spot exchanging between spot exchanges used to be a huge advantage of spot markets over derivative markets. As LPs will take up the role of arbitrageurs and arbitraging is more likely to happen on v3 itself other than between DEXs, this gap is narrowed … to what extent? No idea though.
LP strategies and the aggregation of NFT of Uniswap v3 liquidity token are becoming the blue ocean for new DeFi startups: see Visor and Lixir. In fact, this might be the turning point for both DeFi and NFT: the two main reasons of blockchain going mainstream now come to the alignment of interest: solving the $$ problem 😏😏😏
In the right venue, which means a place where transaction fees are low enough, such as Optimism, we might see Algo trading firms coming in to share the market of designing LP strategies on Uniswap v3, as I believe Algo trading is way stronger than on-chain strategies or DAO voting to add liquidity that sort of thing.
After reading this article by Parsec.finance: The Dex to Rule Them All, I cannot help but wonder: maybe there is going to be centralized crypto exchanges adopting v3’s approach. The reason is that since orders of LPs in the same tick are executed pro-rata, the endless front-running speeding-competition issue in the Algo trading world, to some degree, is… solved? 🤔
Anyway, personal opinions can be biased and seriously wrong 🙈 I’m merely throwing out a sprat to catch a whale. Having a different voice? Leave your comment down below!
6. Conclusion
That was kinda tough, isn’t it? Glad you make it through here 🥂🥂🥂
There are actually many more details and also a huge section of Oracle yet to be covered. However, since this article is more about features and targeting normal DeFi users, I’ll leave those to the next one; hope there is one 😅
If you have any doubt or find any mistake, please feel free to reach out to me and I’d try to reply AFAP!
Stay tuned and in the meantime let’s wait and see how Uniswap v3 is again pioneering the innovation of DeFi 🌟
Uniswap v3 Features Explained in Depth was originally published in Taipei Ethereum Meetup on Medium, where people are continuing the conversation by highlighting and responding to this story.
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kinda talk 在 Jessica Vu Youtube 的精選貼文
Ah yes it's a classic makeup tutorial + colorful eyeshadow! ALSO this pink + orange blush combo?
Feeling kinda pwetty ꒰◍ᐡᐤᐡ◍꒱ Thank you to Revlon for partnering with me and providing the color palette for this look!
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I can't tell whether I like this blush combo or my chili mango one more *+:꒰◍•ᴗ•◍꒱:+* Fun blush colors are always fun to play with :p
Also! A lot of you have been asking if I've moved out since my GRWM and I am next week! I still have to sort out the moving mess and paperwork but I finally found a new place I like (yay!)
Will keep you updated ?
Hope 2021's been off to a good start for you all, 'til next time! ꒰๑˃͈꒳˂͈๑꒱ノ*゙̥
♡ xo
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˖ Kevyn Aucoin The Sculpting Contour Powder ("Medium") https://bit.ly/38ImkaT
˖ Revlon So Fierce! Prismatic Eyeshadow Palette ("The Big Bang") https://bit.ly/3pbNE8u
˖ Benefit Cosmetics The POREfessional: Super Setter Pore-Minimizing https://bit.ly/2MhIpoW
LIPS ⁺
˖ NYX Professional Makeup Slim Lip Pencil ("Natural") https://bit.ly/38KXE1A
˖ Gucci Beauty Rouge à Lèvres Mat Matte Lipstick ("They Met In Argentina") https://bit.ly/39VAPsz
˖ Dior Lip Glow Oil ("Coral") https://bit.ly/368FBBU
WEARING ⁺
˖ @wearflicker Flicker Monarch Butterfly Huggies http://bit.ly/3iDzOJu
︾
T O O L S
˖ Sigma Beauty 3DHD Blender Makeup Sponge http://bit.ly/2GOkuZA
˖ It Cosmetics x ULTA Beauty Airbrush Blending Shadow Brush 107 https://bit.ly/3qPxJNz
˖ Sigma Beauty Waterline Liner Brush E17 https://bit.ly/3hnMG5P
˖ Shiseido Eyelash Curler https://bit.ly/2KyFCYi
˖ Sigma Beauty High Cheekbone Highlighter Brush F03 https://bit.ly/38IFJZ4
˖ Colourpop Blush Brush https://bit.ly/3aPEE4q
˖ Zoeva Powder Brush 106 https://bit.ly/3rxDYXl
˖ Colourpop Small Tapered Brush E9 http://bit.ly/2V55rPe
︾
T E C H
˖ CAMERA
Canon EOS Rebel T6i DSLR
https://amzn.to/2PcG1Mk
˖ LENS
EF-S 18-55mm IS STM Kit Lens
https://amzn.to/2P7wAxx
˖ EDITING PROGRAM
Final Cut Pro X 10.4.1
︾
M U S I C
˖ Dept(뎁트) - Moonlight(Feat. Sonny Zero, 오넷(OoOo)) https://youtu.be/Ty6c8E5zjy4
˖ Dept (뎁트) - 바보 같은 나 (Stupid me) (Feat. Nason) https://youtu.be/QCk5ZDKilXA
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? BUSINESS EMAIL: jessica@rare.global
FTC: Sponsored by Revlon ? Some links listed are affiliate links and some products used I received in PR („• ֊ •„)
kinda talk 在 JaneChuck Youtube 的精選貼文
Seems like many of you asked for vlog style kinda content and I hope this is something you like! Let me know!
#JANECHUCK #QNA #SKINCAREROUTINE
Follow me on Instagram & Facebook:
IG - https://www.instagram.com/janechuck/
FB - https://www.facebook.com/janechuck/
chuck's:
https://chuck-s.co/
INQUIRIES: jane@gushcloudtalent.com
kinda talk 在 Cyber Made 賽博製造 Youtube 的最讚貼文
CyberMade IG :
https://instagram.com/cybermadeofficial?igshid=wcpi4ircpjc5
Losty :
https://instagram.com/lost.yi?igshid=m6n3y6ohsklp
Motorolaboi :
https://instagram.com/howismotorolaboi?igshid=w3lvxgcnchxm
Green :
https://instagram.com/about_gr333n?igshid=1n3qaksv9wi3u
Ash :
https://instagram.com/ashh.1083?igshid=1tf95ip2lwwyy
Drogas :
https://instagram.com/__.drogas.__?igshid=ayi751zuxbjk
Mixing & Mastering by Drogas
詞曲:Losty, Motorolaboi, Green, Ash, Drogas
Cover by Losty & Emily
Special thanks Emily
Lyrics:
[Losty]
我家的車McLaren
你MV車用租的
I ain’t pop pills like 廢人
碰我的chain你沒門
Me and my team like savage from cyber
你的new wave 像資源班的retard
沒有天賦就去送food panda
還是Uber eat幹你娘我沒差
(今晚 我想來點)
Cyber made
讓fuckboys 玻璃心碎
Wish u good life 聽懂沒?
抱歉新浪潮沒有你的位置 沒有你的位置
[Motorolaboi]
I don’t know the pain
Imma shoot u for my lame
Dancing on my Nike
Better solo with my bane
Talk bout gang
Like eating buffet
That’s all u can say
Rocking some fakes
But buying her bags
She doing her thang
只會talk shit but u acting like dog
Burning the trash this is kinda my job
Words like a bullet it’s gonna go blast
Regional cunts never gonna last
Y’all be stuck in taiwan but you never gonna make it worldwide
我是motorolaboi
他媽記下我的name
看著我到hall of fame
全部給我下跪
[Green]
Ring ring ring don’t pick up my phone
cyber war 全面啟動
猜不到我的行蹤
Ninja &future soldier
華語音樂即將要load to world
文化掀起了場革命傳說
復興運動乘坐病毒航空
極速散播like corona virus
Oh yaeh
We’ll be higher (own gang
新的世界roll up with my gang
靈魂感官就快炸裂
Green的油門踩到緊
感知未來世界的頻率
Cyber Made 是最高的等級
Fuck lit lit lit
[Ash]
找不到工作的阿姨,they call me 有才華的少年
少年 makin his bands
I drippin so hard 要穿個雨衣,我們屬於不同的級別
我們的存在 是你最大的威脅
看著我 跑到終點線
你摸不著 看不著 我們的對策
對了,頭開始點著
baby why fucking wit me
lookin at the rappers aint no body like me (ok)
aint got no time for them pussy to eat
i gotta run it up the block, for you bitches to see
so fucked up
Boy you lookin at my face like you fucked up
i just bodied lil bitch make her suck up
cyber made with the crew 把你全家炸掉
[Drogas]
I know I will fuck up
不要這麼火大
我的名字Drogas
讓你一次就不會忘
現在請你安靜射手就在這裡
你不會忘記用刀割的旋律Ya
媽媽看著我用暴力的嘶吼頂破這片天空
Alright now 手起刀落我的
重音擊倒你的爛貨
賺那抄襲錢 你還真有臉
幹林娘你們真的是欠我扁
Kill'em 完全不會累
You might think I am crazy ya