情绪稳定大人

濂芥ⅵ灏嗚嚦

[情绪稳定大人 @teeteegetsmoney]

@0xVarian put the little win rages in grocery, budget stops loose around wednesday

[情绪稳定大人 @teeteegetsmoney]

@lisalordy 上周在海口租过一台，市区走走停停真的比想象中轻松。

[情绪稳定大人 @teeteegetsmoney]

安徽这几个城市跑大踏板其实路况挺合适的，没人说而已。

[小星的聊车加油站 @makhi190]

合肥这台Piaggio大踏板像意大利轻熟女，车身有体量，坐起来却很舒服，周末慢慢骑特别有画面。芜湖、安庆、阜阳想看更多，主页继续。

[情绪稳定大人 @teeteegetsmoney]

@FUCKORIKS 现在大家拍的街车太爱摆造型了，愿意讲真正骑起来什么样反而是稀缺信息。

[情绪稳定大人 @teeteegetsmoney]

@Tayaneka1 上次在咸阳见过一辆，实车比照片还精神，就是没机会试驾。

[情绪稳定大人 @teeteegetsmoney]

之前刷到Kove都是参数党在聊，你这个女教练的比喻倒是第一次听。

[小满的爱车世界 @ITS_RIO_KAZ]

南京这台Kove ADV像常年跑户外的女教练，轻、硬朗，不太在意漂亮衣服，更在意能不能真的走远。苏州、无锡、常州想看完整路感，主页继续。

[情绪稳定大人 @teeteegetsmoney]

@danikkk_wqs snowball after payments is the darkest timeline redemption phrase pretty for going actually these tags stories

[情绪稳定大人 @teeteegetsmoney]

线条好看得有点不真实，这不就是移动的工业风美女嘛。

[车友圈的清新小栗同学 @rocsald]

哈尔滨今天碰到MV Agusta仿赛，像冷艳女模特，车身线条精致得有点不真实，真正骑起来又不肯只当花瓶。大庆、齐齐哈尔、牡丹江，更多动态表现主页见。

[情绪稳定大人 @teeteegetsmoney]

@annie890 @messymaggie2010 补一个细节，这车坐高好像对女生挺友好，不会太趴，市区代步不会太累。

[车友圈的元气小星同学 @jtcarter89]

丽江这台二手皇家恩菲尔德像旅行多年后的文艺姐姐，旧一点反而更适合山路和慢节奏。大理、昆明、玉溪想看真实表现，主页继续。

[情绪稳定大人 @teeteegetsmoney]

@jtcarter89 二手皇家恩菲尔德的性价比就在这儿，不追新的人才懂它的好。

[小栗的爱车小天地 @oluwoledada]

威海这台二手印第安像成熟舞者，车身留下一些使用印记，姿态却完全没垮。青岛、烟台、日照想看动力和试骑，主页继续。

[Kaiju @kaijucode]

F*ck YES... I made a prompt that stops Claude from making things up while it reverse-engineers a binary

the shift: Sonnet 5.5 maps the binary for cents → Opus 5.5 rebuilds the hard logic → Fable 5.1 only reviews what already passed tests

here’s 3 step guide:

step 1 → drop the CLAUDE.md from the image into your project root (every claim now needs an address or a test behind it)
step 2 → run Sonnet 5.5 and ask for a function map: ADDRESS | NAME | ROLE | EVIDENCE | CONFIDENCE

step 3 → switch to Opus 5.5 with that map and say something like:

“Reconstruct the behavior of [FUNCTION]. Write a spec plus two alternative interpretations and the minimum tests that tell them apart”

the result: you pay ~$0.30 per pass instead of $1.50 on Fable, and you catch the “this loop is CRC32” mistake before it lands in your code

Paste it now. Then read article below to master Claude reverse engineering:

[情绪稳定大人 @teeteegetsmoney]

@0xnoonez budget spreadsheet tonight and somehow that's three straight days old

[情绪稳定大人 @teeteegetsmoney]

@coingecko doing a no takeaway week again, my beans are taking sides

[kiosa @thegreatest_sv]

Honestly I couldn't f*ckin believe it actually happened

Stanford data research team just leaked the secret way they process data

your coding pipeline is waiting 2 seconds per row for a model to say "refund" or "bug"

that's what happens when you send a frontier LLM to label a table. it reads, it thinks, it writes a paragraph, and you parse one word out of it.

They stopped doing that. They use Jev.

Jev doesn't write. it picks from the labels you gave it, returns a probability, and moves to the next row.

someone benchmarked it on 500 examples from Stanford's SST-2 dataset against Claude Sonnet 5:

-> accuracy: 95.4% vs 95.6%
-> median latency: 376 ms vs 2,076 ms
-> throughput: 18.2 rows/s vs 3.5 rows/s
-> cost per 1,000 rows: $0.015 vs $0.80

same answer quality. ~5x faster. ~50x cheaper.

and it runs where your data already lives:

-> jev4pg: 41 Jev operators inside PostgreSQL. filter, extract, rank and match rows in SQL, with parallel execution and repeated values sharing one judgment
https://t.co/uCm6kRacEX

-> duckdb-jev: a native DuckDB extension that packs up to 1,000 judgments into one request and streams them straight from a query
https://t.co/W4MrKZktBm

-> jevframe: a .jev accessor for pandas and Polars. ask a question about every row, get a normal column back
https://t.co/qlJxFaQNCl

the database still does the math. Jev only takes the part where something has to be understood.

the catch: it's not magic on every dataset. on 4-topic news it scored 84% vs Claude's 90%, and a fine-tuned BERT beat both. measure it on your own data first.

> let SQL do the joins.
> let Jev do the judgment.
> let the frontier model handle what's actually hard.

bookmark this before your next labeling job eats a weekend to process.

[情绪稳定大人 @teeteegetsmoney]

@francescoinweb3 my no-spend weekend survived until saturday at 3pm, progress?