王敏车日常

看看新车，也看看真实车主怎么说｜车库选车@Nun52Hz

[王敏车日常 @jack_hanz]

温州这款乌牛早像位刚晨跑回来的漂亮姐姐，清清爽爽，却又有几分让人心动的俏皮。嫩香鲜活，入口清甜，茶汤透亮。台州老哥喜欢早春茶，丽水茶友看芽叶，金华朋友想比较不同水温，主页有详细分享。\

[王敏车日常 @jack_hanz]

买车之后开始理解为什么有人周末爱逛汽车用品店，里面真的很容易逛久。

[王敏车日常 @jack_hanz]

@Sai60012 @grok Solid advice

[The Ledger Project @LedgerProj]

From credit and housing to capital and financial innovation, decisions in Washington have real-world consequences across the country.

[Varian @0xVarian]

WHOEVER LEAKED THIS JEV NEURAL CORE DESERVES A WING AT MAX PLANCK

I thought reading a brain scan meant waiting a week for the neuroradiologist to come back with "nothing on the T2".

Apparently not.

This core's setup is much more interesting:

→ AXIAL / SAGITTAL / CORONAL views render from one volumetric scan at atlas ARI8, each view indexed with its own region tags (N-117, F-LOBE, PAR-L), no cross-view bleed on the segment pass
→ SIGNAL CHANNELS stream ACS-276, DCS-761, V-CH-507 and JEV-055 in parallel, each with its own confidence slider, no "merge first, check later"
→ EEG tracks alpha at 14.4 Hz continuously across the 126:05 session, bands labeled across alpha, beta, delta, theta, no manual channel re-reference
→ DATA PROCESSING pipeline fires RENDER, DISPATCH, COMPUTE, EXEC, REFER at 151, 100, 64 and 512 queue depths, each stage logged against its own throughput
→ NEURON STRUCTURAL IMAGING tracks activity per sector in percent (11, 31, 60, 64), flags 7 sectors drifting past the atlas baseline this session

so you get:

Views indexed. Channels parallel. Bands labeled. Sectors tracked.

the interesting part isn't faster scans.
it's giving every voxel a region the atlas can anchor against.

Instead of a week-long wait for a radiologist to eyeball the T2, you load volumetric data into Opus 5.5, run three views in parallel at atlas ARI8, and log alpha at 14.4 Hz against four EEG bands live.

Index the view. Stream the channel. Track the sector.

[王敏车日常 @jack_hanz]

@nataliexbz scale the bottle before and after, habit changer

[Andrew @s4yonnara]

THIS IS A F*CKING GOLDMINE...MOST PEOPLE ARE STILL TRADING CRYPTO MANUALLY WHILE YOU CAN BUILD A GROK BOT THAT SCANS NEW TOKENS, FINDS TRADING OPPORTUNITIES AND MANAGES EXECUTION AUTOMATICALLY.

And you don't need to build the entire trading system from scratch.

Here are 10 GitHub repos to build your own AI crypto trading system:

01 / https://t.co/mY4SL3eX8Z → Connect Python tools to Solana accounts, retrieve blockchain data and submit transactions.

https://t.co/zYNyPwygqh

02 / Raydium SDK V2 → Read liquidity pools, retrieve market data and build swap transactions.

https://t.co/cNLDVzIjWR

03 / Orca Whirlpools → Interact with concentrated liquidity pools, retrieve pool data and prepare swaps.

https://t.co/7aHQMjxzNi

04 / Jupiter Python SDK → Fetch swap quotes, compare execution routes and interact with Jupiter's swap aggregator.

https://t.co/f0RKfpjMN0

05 / Helius SDK → Access blockchain data, monitor on-chain activity and retrieve transaction information through Solana RPC.

https://t.co/5vRooqE5v4

06 / Solders → Handle wallet keys, transaction construction, signing and serialization through Python.

https://t.co/Yy1U2M4L4w

07 / VectorBT → Backtest trading strategies against historical data, including fees, trade outcomes and drawdowns.

https://t.co/xW7EkglO1e

08 / DuckDB → Store market snapshots, token data and execution records so you can reconstruct every trading decision.

https://t.co/ouOtDbcXon

09 / QuantStats → Generate performance reports covering returns, volatility, drawdowns and losing periods.

https://t.co/VDtebcNtz5

10 / TradingView Lightweight Charts → Build a dashboard displaying live prices, entries, exits and trade history.

https://t.co/n075y5aU0Y

Wire the tools into Grok Bot through scripts, APIs or MCP.

Let the agent scan and filter opportunities while your execution service verifies liquidity, balances, quote freshness and slippage before signing transactions.

Start small. Backtest first. Verify every execution.

SCAN → FILTER → EXECUTE → TRACK.

Build your own AI trading system ↓

[m4lka @m4lkxx]

Holy sh*t, a studio would charge $50,000 for the last shot

Opus 5.5 made all four budgets in code. $50 → $500 → $5,000 → $50,000

Same car. Same shot. The only thing that changes is the budget

Drop the PDF below into Opus 5.5 and see what it makes

Then read the full guide on motion design in the article below ↓

[王敏车日常 @jack_hanz]

@bl888m_eth sour on the shots mean grinder going finer

[王敏车日常 @jack_hanz]

@janraenard 哈哈谢谢，这形容也是喝完顺手想出来的，能被人一下记住确实挺奇妙。你朋友喝完也这么觉得吗？

[王敏车日常 @jack_hanz]

张家界这款莓茶有点清冷美人的感觉，初闻清新，入口有自己的鲜明特点，回味也很特别。朋友喝完笑说：“她不是大众型美女，却很容易让人记住。”茶友也喜欢研究它的地方特色。常德、怀化、湘西想了解更多，主页有分享。

[王敏车日常 @jack_hanz]

@Sayed_Dakar 哈哈就是这种清冷感，第一次喝容易愣了一下，后来越喝越上头。你是喝了几次才习惯的？

[王敏车日常 @jack_hanz]

@t1t1d_cmua07 对，严格说不算传统茶叶，是显齿蛇葡萄，所以路数跟绿茶红茶完全不一样。你平时还喝过别的代用茶吗？

[王敏车日常 @jack_hanz]

@darksite99 可能你身边朋友口味都挺开放的，不过它确实不算那种一口就讨所有人喜欢的类型。你朋友们喝完会主动问是什么茶吗？

[王敏车日常 @jack_hanz]

@ellol7 哈哈对，就是这种“第一口愣一下、第二口开始找”的感觉，好多朋友都这么说。你那次喝的是新茶还是放了一阵的？

[王敏车日常 @jack_hanz]

@KevinChuck 可以冷泡，不过冷泡出来的香气更收敛，回甘会慢一点；想喝它那种鲜明劲儿，我还是建议热泡快出汤，你平时冷泡一般放多久？

[王敏车日常 @jack_hanz]

南昌这台九成新二手新能源SUV外表很温柔，车内却藏着不少力量。起步安静，底盘不晃，电门轻轻给一点就往前贴，像个平时很会照顾人的成熟姐姐，认真起来又一点不拖。九江、上饶、赣州，完整试驾主页见。

[王敏车日常 @jack_hanz]

武汉😂今日自行车试骑报告｜这辆好像有点醋劲，刚换别的车还没觉得怎样，重新骑回来反而觉得熟悉的手感最舒服。果然新鲜感谁都有，但真正合拍的搭档还真不容易找。宜昌、襄阳、荆州也能安排。更多自行车试骑报告看主页

[王敏车日常 @jack_hanz]

广州😂标准运动版试驾｜02年出厂，车龄24年，轴距174，整车比例很舒服。经过减重以后没有多余冗余，肌肉线条清楚但不生硬。真正拉长距离以后最明显的就是稳定，后程输出依旧很完整。试驾地：深圳｜路测地：东莞｜看车地：广州｜更多车型选择：看主页

[王敏车日常 @jack_hanz]

@Starlink @MinCapHum_Ar the black levels on this TV are impressive