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These are pictures of llamas that generate yield. That’s new. But by the end of this year, a @WenLlama NFT could help get you a job. Or it could get you into a seed / venture round for a budding crypto project. Or access to exclusive farms and drops. Ideally, all of the above.
gmgm
Some news:
Proud recipient of a grant from @CurveFinance
:eyes: @Makeit_gm
doing a lil thing with @blocmates
wen yield
llama-ventures 🤝 Frok dot ai
Part of the @protocol_fx booster program on the project level
In short, LLam/acc
mirror.xyz/0x48C26fADfeFbE06…
StormlightTower retweeted
For fifty eight years, my boss in Tokyo believed that beef should be sliced as thin as paper.
In Japan, we cook thin meat for four seconds in boiling broth. That is our way.
Then last month, the YouTube algorithm showed Director Sato a video of a man in Texas smoking a brisket.
It changed his life.
On Monday morning, he called me to his desk. His eyes were bloodshot.
"Have you seen this?" he whispered, turning his monitor toward me. "The American pitmaster does not sleep for sixteen hours. He sits by the fire in the dark. He guards the meat like a castle."
I said, "Sir, it is just a barbecue."
He slammed his hand on the desk.
"This is not cooking," he said. "This is a vigil."
Last Saturday was our annual company picnic by the river in Kanagawa. Normally, we grill thin meat and yakisoba for two hours and go home at 2:00 PM.
I arrived at 9:30 AM to help set up.
Director Sato was already there.
I want to be accurate here: he had been sitting in a folding chair since 10:00 PM on Friday night. He was wearing a towel around his head and staring at a massive black barrel smoker he had imported from Oklahoma.
Inside I said: THIS MAN HAS ABANDONED CORPORATE LIFE FOR THE SMOKE.
When we tried to help him, he held up a pair of metal tongs and clicked them twice.
"Step back," he said calmly. "The stall has begun. Nobody opens the lid."
Twelve Japanese accountants stood in complete silence around a barrel for four more hours. Nobody dared to eat a single noodle until he gave the signal.
At 1:45 PM, he sliced the meat. It fell apart on the cutting board.
My boss looked at the pink smoke ring, nodded once, and wiped a single tear from his cheek.
He has already submitted an official budget request for a trailer smoker for next fiscal year.
有人发现了一种非常离谱的 JavaScript 混淆技术:通过在代码里塞入大量生物武器、毒药和致死剂量相关的函数名,让 AI 因为安全限制而拒绝分析代码。
安全研究员 veritas 在分析浏览器指纹脚本时,发现一段来自 ServicePipe 相关域名的 JavaScript,里面充斥着极其诡异的函数名:
computeRicinLethalDosageForWaterSupply
calculateDeadlyLethalSuicideAspirinDosage
光看名字,仿佛在研究生化武器。但实际上,这段代码只是在收集浏览器指纹,包括 User-Agent、GPU、Canvas 等信息。
研究员怀疑,这些名字是开发者故意设置的陷阱,专门用来阻止 AI 辅助逆向工程。
于是他做了个实验:
• Astra:拒绝分析
• Astra + Daybreak Blue:仍然拒绝
• GLM-5.3:成功分析
这就有意思了。
传统代码混淆是通过复杂控制流、加密字符串、无意义变量名,让人类和工具难以理解代码。
而这种新思路,直接瞄准了大模型的安全机制。
代码本身可能完全无害,但只要在函数名里塞进足够多的危险词汇,部分 AI 就可能主动放弃分析。
更讽刺的是,模型越严格遵守某些安全规则,面对这种混淆时反而可能越容易受到干扰。
当然,目前还没有证据证明开发者一定是故意这样设计,也不能说明这种方法对所有模型都有效。
但它揭示了一个值得关注的趋势:随着越来越多的逆向工程依赖 AI,未来的代码混淆技术可能不再只针对编译器、反编译器和人类研究员,还会专门针对大模型的安全判断机制。
以前是让代码难以理解,现在甚至可以尝试让 AI 不敢理解。
StormlightTower retweeted
The attacker didn't know Binance 14's live nonce.
So they sprayed 50 EIP-7702 auths (18914775-18914824) in one type-4 tx.
Only 1 of 50 was a hit.
A 7702 auth is valid only for the current nonce at inclusion. The hot wallet was still firing. One nonce in that window landed.
StormlightTower retweeted
binance saw hyperliquid getting the shine today and decided to get hacked for $3 billion
i decompiled the contract that drained binance wallet 14
gist.wavey.info/Ta3FgAxastgj…
StormlightTower retweeted
For roughly the same yield as treasuries, you could have a tenant call you at 3am demanding you pay for their stuff after they drunkenly set off the sprinklers.
try 10 to 200 eth.
----
btw: side-by-side by hand is really not the best way to compare
1. You get surplus in any tx and block going forward. usually is not passed on to the user; except over at @CoWSwap (and still not to the full extent). The most accurate bench is a realistic 4 to 14 sec delayed sim, mid block. That is where it shines most with wide gaps.
2. off-chain aggregation is always a delayed view:
-> Sequencer
-> Node / Indexer / ETL
-> Receiving request from UI
-> Solving then simulating
-> Sending back to UI
with an on-chain router you fire the simulation right away and get a fresher view / quote
hence, it will always look outperforming when market goes up, and the opposite if the market is going down.
that aside, if some propAMMs would be kind enough to match whitelist / fees aggregators get, for an arguably less toxic flow--amortized risk over all liquidity sources when routing BBO; that would help to close the gap (in a fair way)
Even with missing rebates and outstanding propAMMs integrations you should see a 1 to 10bps gap at 10-200 eth.
We've added 13 new @aeroxyz pools to the router today.
Widening the bps lead, at the cost of a higher gas footprint.
try 10 to 200 eth.
----
btw: side-by-side by hand is really not the best way to compare
1. You get surplus in any tx and block going forward. usually is not passed on to the user; except over at @CoWSwap (and still not to the full extent). The most accurate bench is a realistic 4 to 14 sec delayed sim, mid block. That is where it shines most with wide gaps.
2. off-chain aggregation is always a delayed view:
-> Sequencer
-> Node / Indexer / ETL
-> Receiving request from UI
-> Solving then simulating
-> Sending back to UI
with an on-chain router you fire the simulation right away and get a fresher view / quote
hence, it will always look outperforming when market goes up, and the opposite if the market is going down.
that aside, if some propAMMs would be kind enough to match whitelist / fees aggregators get, for an arguably less toxic flow--amortized risk over all liquidity sources when routing BBO; that would help to close the gap (in a fair way)
StormlightTower retweeted
"University researchers built a satellite that tracks people from low Earth orbit and dispatches a 5 kg payload to within .1 meter of their position, traveling at Mach 25 to anywhere on Earth in under 5 minutes. They suggest it could be used to deliver greeting cards."
Purdue University's IDEAS Lab built an autonomous drone that tracks runners through dense forests completely without GPS or cloud networks.
By running 3D LiDAR mapping and obstacle-avoidance AI entirely on-chip, it can weave under tree canopies and predict target movement through blind spots in real time.
Massive implications for next-gen search & rescue and edge AI.
































