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Tony

@sxcarfacee

The eyes Chico, they never lie

Katılım Eylül 2023
2.1K Takip Edilen1.2K Takipçiler
Tony
Tony@sxcarfacee·
@0GAntD cumcoin
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OGAntD
OGAntD@0GAntD·
The trenches were cooked far before this, between multi wallets and extraction tooling and every thesis for a coin revolving around an entity “criming” it There’s no belief anymore, it’s become a 9-5 job. Coins used to just go up because people believed/had higher expectations. Hantavirus token is dogshit and never should’ve even hit 7 figures
Owari@OwariETH

ngl $hantavirus cooked the trenches hard shilled by alon/pf as a PM competitor and instantly tops lead to a mini meta of pumping slop (tokenising every single event in the world, World Cup coin? ebola virus?) traders reliant and assuming “crime” on every coin, if not, it’s fried ggwp

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Tony
Tony@sxcarfacee·
Something’s brewing 💦
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change
change@changefomo·
Only possible on Hyperliquid.
亚汉@0xchuye

早上刷到一些人在CX Hyperliquid生态的新发射台@altdotfun alt.fun,龙头 $ALT 涨了到2.5M。 本着“新东西第一时间研究”的原则,我问了AI总结了个大概,供参考: Alt.fun是什么? 基于Hyperliquid(HyperEVM)的代币发射平台,允许任何人“一键”发行与特定标的挂钩的杠杆化meme/altcoin。本质是把杠杆永续仓位“meme化”,让普通用户买meme币就能间接获得2-5x杠杆暴露。标的覆盖BTC、ETH、HYPE、SOL、DOGE、NVDA、S&P500等,方向可选long/short,杠杆2x/3x/5x。 我的直观理解: 还是披着meme外衣的永续合约。 以龙头$ALT为例,买入ALT ≈ 买入HYPE的5x Long永续(代币页面直接显示),卖出 ≈ 平掉部分仓位。 买入ALT vs 自己手动5x做多HYPE的区别: 1、操作极简,新手友好(像买meme一样)。 2、ALT的杠杆是恒定5x(自动再平衡:大涨后卖部分仓位拉回5x,大跌自动加仓拉回5x);手动Perp杠杆会随价格波动(涨→杠杆下降,跌→杠杆上升)。 3、集体承担风险,无个人爆仓(LT设计为non-liquidating),相对更安全。 4、meme外衣带来的情绪影响存在,但价格主要由背后标的驱动(若标的本身是meme,则会继承情绪)。 5、杠杆仓位可转移(ERC-20)。 6、滑点、资金费率、再平衡损耗等细节仍有差异(需实操观察)。 总结比喻: 买还 ALT = 买一张“5x杠杆车票”。专业司机(BounceTech+Hyperliquid)开车,自动保持5x速度,你坐着就行(随时卖票下车)。但大家一起坐车:买票=集体踩油门,卖=集体刹车,还贴了meme贴纸,可能额外加速。 自己开5x Perp = 你亲自开车,自己控油门刹车、盯仪表盘、管funding、担心爆仓,能精确调整。 未来可能衍生玩法(若被接受): 1、用ALT抵押借贷 2、多个杠杆标的打包成新meme 3、社交/Copy trading / 竞赛等玩法 对纯meme玩家:一定要看清你买的ALT背后实质是什么。我个人觉得,这个玩法对合约玩家吸引力更大。 (以上内容结合AI进行总结,可能与实际情况有出入,仅供参考)

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EvansOfWeb
EvansOfWeb@EvansOfWeb3·
gm, any builders of tek like this?
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Cobie
Cobie@cobie·
:)
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Kiko FTW
Kiko FTW@kiko_ftw·
I am so cooked
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G
G@smokiemahoney·
@metaversejoji you can buy a few percent of cumcoin
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joji
joji@metaversejoji·
its always the coin i barely buy any supply of
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Marc Andreessen 🇺🇸
Love.
Soul Motion labs@Soulmotionlabs

Seedance 2.0 is insane for stop motion animation. Really enjoying this tactile style. Here's a clip from an upcoming short i'm working on using @runwayml Stop Motion Prompt: Handcrafted stylized stop-motion aesthetic. Miniature practical set look with tactile materials, carved textures, subtle fingerprints and fabric imperfections. Animation on 2’s only (movement updates every 2 frames at 24fps). Snappy expressive posing, strong silhouette readability, stylized facial animation, slightly imperfect handcrafted motion. Cinematic depth of field. Warm magical lighting mixed with cool bioluminescent ambience. No motion blur. Emotional, whimsical, cautious tone. #seedance2 #madewithrunway

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Frank
Frank@frankdegods·
crash movin like the new murad
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Ansem
Ansem@blknoiz06·
@LaurensW1535 @rasmr_eth i dont understand how you can ask for coins with higher ceilings tho? this is not something a launchpad can make happen
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Tony
Tony@sxcarfacee·
@smokiemahoney seems like 40k is you're lucky number 💦
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G@smokiemahoney·
some of the biggest plays i've hit have come from scooping 40-50k mc cto's after that area holding for a bit with some bagworkers behind it. Thise one has been so organic thus far $XING - 40k mc > 34M $retardcoin - 40k mc > 13M $CRCL - $40k mc > 17M $Cumcoin - 40k mc > ?,???,????,???
Tony@sxcarfacee

Next leg to a new ATH

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Tony
Tony@sxcarfacee·
Next leg to a new ATH
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Tony
Tony@sxcarfacee·
@blknoiz06 $cumcoin Everything started with cum.
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Ansem
Ansem@blknoiz06·
In a response to this tweet you will shill me your favorite best AI stock that you are MAX convicted in Minimum 2x upside. Max 3 sentences on the thesis
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Ansem
Ansem@blknoiz06·
Base has been pretty consistent with being ahead of the curve on crypto x AI
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Elon Musk
Elon Musk@elonmusk·
Tesla AI Vision
Wes@wmorrill3

Every one of these dots is an actual crash from the fleet. Real world speeds, collisions, and people. Not just the regulatory test cases. The richness of this data is what enabled the result. With simulation we can replay the crashes and measure the forces on the human body model. Then sweep through restraint deployment times to find that deploying earlier gives the time for the bag to be inflated optimally and seat belt pretension before the occupant has moved out of position. But it takes time for crash accelerometers to be certain. Lowering that time threshold risks unwanted deployments. Using vision gives the vehicle confidence to reduce that timing. The camera sees the impending impact and together with the sensors tell the restraint controller to reduce the filter and act sooner. The Y Axis shift in Predicted Injury Severity is based on sensors in the human body models from rerunning the crash simulations with the faster detection threshold. Such a reduction in injury severity across the spectrum is unheard of, let alone doing this via an update over the air. I'm extremely proud of the analysis team's work and dedication. Going above and beyond to ask "we have the safest car on the road but can we make it even safer?" And then working with the vision team to build the predictions needed to make it happen. Rigorously tested in simulation and then in physical crash testing. Now deployed and improving lives. I watch the video on loop and just imagine each dot, a person.

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