Bitmart木子92返Visa领取

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[Bitmart木子92返Visa领取 @DreamHonei]

@momoGZ0412 这姐真的太敢玩了

[Guanghan Ning @quietnning]

Enjoyed ICML week in Seoul with old and new friends. Also, of all 168 orals, 88 touch RL or environments. My take on the trends:

(1) RL envs and reward verification are the dominant hotspots right now, exactly the battlefield I care about most. The "env factory" paradigm, i.e., reliable env scaling, seems to be arriving (e.g., CVE-Factory: auto-conversion of real-world data at scale → executable, verifiable envs → 30%+ training gains; loop closed).
(2) tao2-Bench demonstrates programmatic, compositional task generation (that is verifiable), from the evaluation side.
(3) A trend in reward design: static verifiers → dynamic games. e.g., co-evolving rubrics (RLER), adversarial critique-based grading (Benchmarking at the Edge), and tool-grounded self-reward (Agent0-VL).
(4) CausalGame evaluates the causal-thinking capabilities of LLM agents through interactive games. ARC-AGI-3 has started a trend of using interactive gaming envs to evaluate specific LLM capabilities.
(5) Reward hacking has gone from accident to systematic research. Oversight, too, has gone from an engineering practice to a measurable science; monitorability now has metrics and scaling laws.
(6) Mid-training is now much better understood: "Midtraining Bridges Pretraining and Posttraining Distributions" shows how to choose mid-training proportions and, more importantly, timing: heuristics → concrete, applicable theory.
daVinci-Dev makes agent-native mid-training a cost-saving layer upstream of RL: instill agentic behavior via mid-training first, then apply RL. An open question worth quantifying: before running expensive RL, how much can mid-training on trajectories collected from the same environments cut the RL steps / env interactions needed to hit a target resolution rate?

[风无向🦅 @Web3Feng]

下辈子别加杠杆梭哈海力士了。😭

[Bitmart木子92返Visa领取 @DreamHonei]

@wym668 这门神操作也是一种魅力

[Metamental | 方外之域 @yijiangren]

比特币从 61665 拿到 64000，我没止盈，做了一次套保

61665 一直拿到现在的 64000。
这段行情吃到了，但赚钱之后，下一步考虑的是，怎么在不完全下车的情况下，把已经赚到的利润保护住。
最简单的做法当然是平仓。
一旦全部卖掉，后面如果继续上涨，很容易重新追高。
我是准备拿到起码65000甚至68000。

换一种思路
不平多单，而是利用 Bitget rToken 的资金效率，做一层对冲

第一步，先在 Bitget 买入一笔 rTSLA
rTSLA 可以理解为特斯拉股票对应的 RWA 资产。正常情况下，股票买完以后，资金就停留在股票仓位里，只能等待上涨或者卖出。
但在 rToken 的体系里，这笔资产还可以继续进入统一账户，作为合约保证金使用。

第二步，把 rTSLA 纳入保证金账户
这样我不需要卖掉 rTSLA，也不需要再单独划出一笔 USDT，就可以利用这部分资产的保证金价值，开出 BTC 空单。
需要注意的是，首先要确保自己的账户已经确保升级到统一账户。
升级统一账户的条件是，总资产大于0，现货/杠杆不能有持仓、借币和委托，合约也不能有委托/持仓。
之后进入合约交易界面的右上角，进入交易设置将交易账户模式切换为进阶模式。
开仓选择【全仓模式】，符合条件的rtoken将会变成保证金。
这里我就用 tTSLA 作为保证金。

第三步，根据多单，建立部分空头套保
这里顺便教一下大家怎么做套保。
比如我原本持有价值 1 万的大饼多单，并不需要直接开出 1 万的空单。
先用较低杠杆，套保其中一部分仓位。
假设先对冲 20%—30%，也就是开出价值约 2000—3000 的空单。
这样做以后，会出现两种结果。
如果大饼继续上涨，多单继续盈利，空单会产生一部分亏损，但整体仓位依然是净多头，我不会完全错过后面的上涨。
如果大饼从 64000 开始回调，空单产生的盈利，就能抵消一部分多单回撤。
这就是套保的本质
用一小部分反向仓位，降低整个账户的波动

整个操作链路
买入 rTSLA → 将 rTSLA 作为保证金 → 开空 → 对冲原有多单。

我觉得这才是 rToken 和普通美股入口真正不一样的地方。

以前一笔钱进入股票账户以后，买完股票基本就躺在那里。
但 rToken 把美股资产放进了加密账户的资金体系里。
它不仅可以用来持有美股，还能继续作为保证金，参与不同资产之间的仓位管理。
同一笔资金，不再只能做一件事。

不过这里也要提醒一下大家
rTSLA 自己也会波动，保证金价值并不是完全固定的。
做套保时不能把杠杆拉得太高，也要给账户留出足够的安全垫。

否则本来是为了降低风险，最后反而可能因为保证金波动，把风险重新放大。

对我来说，这次不是为了证明大饼。
而是饼子已经从 61665 涨到 64000，我看更高的位置，但也不想让浮盈完全暴露在一次突然回调里。

所以比起直接止盈，我更愿意用 rToken 做一层套保。

这也是我理解的资本效率：不是让每一笔钱都去冒更多风险，而是让同一份资产，拥有更多管理风险的方式。

#rToken美股 @Bitget_zh @xiejiayinBitget

[qinbafrank @qinbafrank]

6月11号在OKX星球直播的时候还聊到下半年关于大饼的操作思路：
1）从大周期配置的角度看大饼已经进入了性价比区间，大家对于最低点没有共识，但是对于底部区有共识就是下半年某个时间；
2）那么如果以年为单位来看，可以把想配置在大饼的仓位可以在未来四五个月内陆续打完。
3）之前的5万8、9可能不是最低点，最低点都是事后才看出来。只是按照以前的经验、最低点往往都是最悲观的时候，大家最多在那个位置买一点，很少会在最低点把仓位打满。所以跌的时间足够久之后、可以开始建仓，慢慢买。即使后面还要往下的跌，最终建仓的平均成本也是很有性价比的。

大家觉得这个操作思路如何？🤔
#OKX星球

[Bitmart木子92返Visa领取 @DreamHonei]

@liangxizjdq 这格局确实只有看懂的人才懂

[Bitmart木子92返Visa领取 @DreamHonei]

@NoraX2026 @jiu1gjl ENFP和ENTP的磁场简直绝了

[Wozi 2.0 @Wozi2wozi]

If you drove by on US-1 today and saw a guy frantically waving his arms… don’t worry, I wasn’t losing it. 😂

I was just trying to surprise my wife, and her reaction was absolutely priceless! 🚗😱

[Bitmart木子92返Visa领取 @DreamHonei]

刚带完三个客户，这行就是谁看透人心谁吃肉。别盯着盘面死磕，去盯资金流向，那是庄家血淋淋的贪婪，跟紧大鳄才有汤喝。

[Shaurya Mishra @shauryabjym]

Even in an emergency situation, showing consideration for others is a truly warm and admirable act. Respect 👍🏻😎

[TCL @TCL_Brand]

10 feet. That’s all it takes to be in the game.

With the TCL 98” SQD-Mini LED TV, you’ll experience:

- Truly Vivid Color
- Perfect Shadows & Detail
- Virtually ZeroBorder Viewing
- Audio by Bang & Olufsen

[Bitmart木子92返Visa领取 @DreamHonei]

@OnlyAV8 @Sentoyun @Sentodan @Sentofen @Sentoqing 宝藏博主品味确实顶

[Bitmart木子92返Visa领取 @DreamHonei]

刚加完班，这行真是纯纯的苦力活，代码敲再多也就是给老板换路虎。别指望涨薪，能熬到年底不被优化就不错了，趁早学点副业吧。

[Akito @lag1r]

Bill Gates bet $500 million on Tesla dying - then texted Elon Musk asking him to donate to his climate charity. Musk leaked the receipts and told him to get lost.

"do you still have a half billion dollar short position against Tesla?"

Gates: "sorry to say I haven't closed it out. I would like to discuss philanthropy possibilities."

"sorry, but I cannot take your philanthropy on climate change seriously when you have a massive short position against Tesla - the company doing the most to solve climate change"

a short pays out most only if the company goes bankrupt. the world's biggest climate philanthropist was betting on the death of the biggest EV maker on earth.

"once he heard I'd shorted the stock, he was super mean to me. but he's super mean to so many people, so you can't take it too personally" - Gates

he never closed it. the $500 million bet became a reported $1.5–2 billion loss as Tesla ran 19x.

Musk's reply to the leak was a meme of Gates captioned "in case u need to lose a boner fast.

"if Gates hasn't fully closed out the crazy short position he has held against Tesla for ~8 years, he had better do so soon"

two of the richest men alive, a half-billion-dollar grudge, leaked private texts, and a $2 billion hole ↓

[Bitmart木子92返Visa领取 @DreamHonei]

@Im_CanDo 周年快乐 期待更多精彩分享

[Palmer Luckey @PalmerLuckey]

"The Pentagon announced they're doing an LCCM buy from Anduril; our Barracuda-500 class. We will produce 7,000 barracudas in 2027. Deliveries on Tomahawks and Patriots are both less than 1,000 a year, so we will make ten times more Barracuda-500s than Patriots or Tomahawks."

[Bitmart木子92返Visa领取 @DreamHonei]

@indigox 苹果这波维权真的太硬气了

[Bitmart木子92返Visa领取 @DreamHonei]

@espn 最后的大满贯遗憾落幕了

[Bitmart木子92返Visa领取 @DreamHonei]

这单外卖送到写字楼，看那帮金融精英盯盘眼神空洞，这就是被庄家收割的命，别看开盘急涨，那是诱多，明天必跌。

[RJC @RJCcapital]

$TE $GLW - Trump Kicking Out Chinese Firms, Keeping Their Green Tech - The Economist

> The Economist highlights $TE in a recent article, nothing the shift in US policy from subsidizing Chinese-owned clean-energy manufacturing to subsidizing US-owned supply chains. Chinese-linked solar and battery projects are being sold, restructured or canceled as tax credits become harder to access.

> Since 2025, nearly $9bn of Chinese renewable investments in the US have been canceled, delayed or sold, with some assets reportedly changing hands at discounts of up to 40%.

> Firms with Chinese ties face tighter FEOC rules and reduced access to IRA tax credits.

> China still produces roughly 95% of the world’s polysilicon, making full supply-chain independence difficult despite downstream reshoring.

> $TE is a potential beneficiary of tighter localization rules through greater demand for domestic electrical connectivity, power distribution and industrial infrastructure.

> $GLW also noted a beneficiary through increased demand for specialty glass, ceramics and materials used across clean-energy and advanced manufacturing applications.

> Net takeaway: Chinese capital is being pushed out, but the factories, technology and supply chains are staying in the US.

[Bitmart木子92返Visa领取 @DreamHonei]

@PhotonCap 宝藏gate真的太会选了

[AccuWeather @accuweather]

No sci-fi movie here, just a towering scud cloud creating an otherworldly scene over Pennsylvania ☁️