zed

#Bitcoin ponzi&meme 🐸

[zed @zedaiverse]

#BinanceAfrica 来个惊喜

[MetaMask 🦊 @MetaMask]

Get your MetaMask x @PudgyPenguins Soulbound Token 👀

👇

[Zara Zhang @zarazhangrui]

PSA: You can vibe code your own "New tab" page in Chrome. I have turned mine into the ultimate solution to the "too many tabs" problem

- See all your tabs with clear titles, grouped by domain
- Closing any tab gives you "swoosh" sound and confetti effect 🎊
- "Easy wins" grouped together: homepages, localhost tabs... batch-close them with one click
- Duplicate tabs detected; close duplicates with one click
- For tabs you're not done with, save it for later in a checklist

This is the Marie Kondo method for browser tabs

Open-sourced the code below

[Google Labs @GoogleLabs]

Introducing the new @stitchbygoogle, Google’s vibe design platform that transforms natural language into high-fidelity designs in one seamless flow.

🎨Create with a smarter design agent: Describe a new business concept or app vision and see it take shape on an AI-native canvas.
⚡️ Iterate quickly: Stitch screens together into interactive prototypes and manage your brand with a portable design system.
🎤 Collaborate with voice: Use hands-free voice interactions to update layouts and explore new variations in real-time.

Try it now (Age 18+ only. Currently available in English and in countries where Gemini is supported.) → https://t.co/pmT9iHEpZa

[Perplexity @perplexity_ai]

Announcing Personal Computer.

Personal Computer is an always on, local merge with Perplexity Computer that works for you 24/7.

It's personal, secure, and works across your files, apps, and sessions through a continuously running Mac mini.

[Brian Roemmele @BrianRoemmele]

BOOM!

Apple’s Neural Engine Was Just Cracked Open, The Future of AI Training Just Change And Zero-Human Company Is Already Testing It!

In a jaw-dropping open-source breakthrough, a lone developer has done what Apple said was impossible: full neural network training– including backpropagation – directly on the Apple Neural Engine (ANE). No CoreML, no Metal, no GPU. Pure, blazing ANE silicon.

The project (https://t.co/jrk67hf9p1) delivers a single transformer layer (dim=768, seq=512) in just 9.3 ms per step at 1.78 TFLOPS sustained with only 11.2% ANE utilization on an M4 chip. That’s the same idle chip sitting in millions of Mac minis, MacBooks, and iMacs right now.

Translation? Your desktop just became a hyper-efficient AI supercomputer.

The numbers are insane: M4 ANE hits roughly 6.6 TFLOPS per watt – 80 times more efficient than an NVIDIA A100. Real-world throughput crushes Apple’s own “38 TOPS” marketing claims. And because it sips power like a phone, you can train 24/7 without melting your electricity bill or the planet.

At The Zero-Human Company, we’re not waiting. We are testing this right now on real ZHC workloads. This is the missing piece we’ve been chasing for our Zero Human Company vision: reviving archived data into fully autonomous AI systems with zero human overhead.

This is world-changing.

For the first time, anyone with a Mac can fine-tune, train, or iterate massive models locally, privately, and at a fraction of the cost of cloud GPUs.

No more renting $40,000 A100 clusters. No more waiting in queues. No more massive carbon footprints.

Training costs that used to run into the tens or hundreds of thousands of dollars? Plummeting toward pennies on the dollar – mostly just the electricity your Mac was already using while it sat idle.

The AI revolution just moved from billion-dollar data centers to your desk.

WE WILL HAVE A NEW ZERO-HUMAN COMPANY @ HOME wage for equipped Macs that will be up to 100x more income for the owner!

We’re only at the beginning (single-layer today, full models tomorrow), but the door is wide open. Ultra-cheap, on-device training is here.

The future isn’t coming. It’s already running on your Mac.

Welcome to the Zero-Human Company era.

[Citrini @citrini]

JUNE 2028.

The S&P is down 38% from its highs. Unemployment just printed 10.2%. Private credit is unraveling. Prime mortgages are cracking. AI didn’t disappoint. It exceeded every expectation.

What happened?​​​​​​​​​​​​​​​​

https://t.co/JzzwCrbJgS

[cygaar @0xCygaar]

Abstract Wrapped is now live.

What did you get?

[zed @zedaiverse]

$GWEI 需要至少质押一个月，这会主网gas有点高，如果不多可以等等再领。

[zed @zedaiverse]

😀wow....

[Axis Robotics @axisrobotics]

Every roboticist knows the pain of "Day 1."

Real-world training:
❌ Fragile hardware & constant failures
❌ High latency & slow iteration
❌ Narrow data diversity

Axis is breaking the cycle. We’ve built the first browser-based, infra-level platform that decouples assets, tasks, and high-fidelity rendering.

Through our protocol-level abstraction, we’re moving beyond simple simulation to a unified data engine:
✅ Low-barrier collection with infinite data diversity.
✅ Cross-simulator operations, unified.
✅ End-to-end acceleration: Task -> Data -> Train -> Deployment in one loop.

Coming soon.

[zed @zedaiverse]

Leveled up in the Great Gas Reckoning with ETHGas! 💪

Hero Jack status: 3.6599 ETH gas spent, 2500 Beans earned—supporting the Gasless Future!

Claim your Gas ID at https://t.co/MQ5Nsx3I4E

[zed @zedaiverse]

https://t.co/1SJLJg9s68

[Nikita Bier @nikitabier]

X is the best source for financial news -- and hundreds of billions of dollars are deployed based on things people read here.

We are building Smart Cashtags that allow you to specify the exact asset (or smart contract) when posting a ticker. From Timeline, users will be able to tap them to see its real-time price along with all mentions of that asset.

We're aiming to collect feedback as we iterate toward a public release next month.

[Solana @solana]

BREAKING: @X to launch Smart Cashtags, allowing users to post Solana tokens and view charts and news 🤯

[Seeker | Solana Mobile @solanamobile]

the start of a beautiful friendship ( • -) •

Seekers active in the last 30 days are eligible to lock in doopie cubes during the WL phase. snapshot December 7th.

follow @doodles for updates.

[predict.fun @predictdotfun]

Predict is backed by @yzilabs.

Together, we're turning BNB Chain into the home of the world's greatest prediction market.

🔮https://t.co/fga5oyQgDo

[OpenMind @openmind_agi]

OpenMind and @Circle are collaborating to bring @USDC utility to fully autonomous robots.

We're innovating on machine-to-machine and machine-to-human payments and plan to bring seamless robot experiences into our daily lives.

Download our app to stay up to date with the latest stablecoin features: https://t.co/FRz0JVeoLk

[c00k1e @neet_acc]

https://t.co/a5mQnUWpW8

[Farcaster @farcaster_xyz]

New: Deposit Bonus!

Deposit USDC on Base and we'll match you up to 10% this October. All you need to do is transfer USDC into your wallet to start earning

[0xTodd ( thinking ) @0xTodd]

针对 wbETH 和 bnSOL 做了一些调查。

很多人可能模糊知道合约的保证金是怎么计算名义价值的，但是没有明确了解过。

首先，在统一账户模式下，保证金的名义价值=资产数量 × 资产标记价格 × 抵押系数

根据披露， $wbETH 和 $bnSOL 的抵押系数是非常高的，之前也解读过的，wbETH 和 bnSOL 视同于 ETH 和 SOL 的，都是 90-95% 系数顶格了。

也就是说，1 美金的币可以当成足足 0.95 美金的 U 来用。而更小的币，例如 Trump，抵押系数才 50%，意味着 1 美金的 Trump 只能当成 0.5 美金的 U 来用。

那这次问题出在哪里呢？是标记价格（相当于预言机喂价）。

对于 BTC、ETH 这种大币，它的标记价格是取的是一揽子交易所的均价，并且会限制异常值，这属于鲁棒性很好的。

但是对于 wbETH 和 bnSOL 而言，它们只上了 Binance，它们的标记价格是按照另一套算法计算的。

比如 bnSOL，它的标记价格是两项加权：

30% 取价自 bnSOL/USDT 盘口价格
70% 取价自 bnSOL/SOL 盘口汇率×SOL价格

同时 wbETH 类似，它是 20%+80%。

很好理解，因为 bnSOL/SOL 和 wbETH/ETH 这两个盘口相当于稳定币对，所以散户、套利者和做市商的流动性比较厚，所以占比就高；

而它俩兑 USDT 的盘口流动性低，所以才占比较低。

Binance 有个功能比较好，就是有个面板可以看到标记价格。那么昨天晚上发生了什么？

从价格指数看，实际上昨天 wbETH 被市场砸到 430 U，而 wbETH 的标记价格最低只到 711 U。

这就是占比 80% 的 wbETH/ETH 的发挥了作用，阻止了更差的事情发生。

而 bnSOL 同理，虽然二级盘口被砸到 35，而标记价格只跌到 48 就止住了，也同样阻止了更差的事情发生。

所以，今天早上大老师才发推特，号召 Binance 要调整标记价格（而不是抵押率）。

接下来，关于公告时间，不太喜欢没有根据的阴谋论分析，这没有意义。

本身这次大跌是特朗普发动新的关税战引起的。

这导致了美股联动币圈暴跌，又挑在周末亚洲休息时间突然袭击，外加牛市顶点大家杠杆就高，导致连环清算踩踏不算太意外。

所以，不幸中的万幸，主要有两点：

1 Binance 主动发了公告，一姐也发了官宣，会补偿和 Binance 直接相关的损失。

2 Binance 将会在本月 14 号调整 wbETH 和 bnSOL 的标记价格算法。

从原来的 20%/80%、30%/70% 的盘口价格，直接改成 100% 锚定 ETH 和 SOL 的价格，甚至还带了汇率，这样这两个资产就非常安全了。

上午说过，能理解为 wbETH 和bnSOL 作为保证金的初衷是效仿 stETH 和JitoSOL 模式，那种情况下确实应该取现价，因为它有第三方风险。

而 wbETH 和 bnSOL 它就是 Binance 自托管的，没有任何第三方风险，所以直接锚定 ETH 和 SOL 毫无问题，反而可以促进这些 LST 的使用。

希望这个分析能帮大家从底层理解这个事情。

也希望大家和 USDE、wbETH、bnSOL 的相关损失尽快得到回血。