WildCat🐱

每星期更新全澳洲日本妹 Weekly Update New Premium Japanese Girl

[starmex @starmexxx]

this is pure f*cking treasure.

my ai bill last month:

claude max 20x ............ $200
chatgpt pro ............... $200
supergrok heavy ........... $300
total ..................... $700

then i went through github and found 5 repos that eat the boring half of that bill on my own machine

rizzo-flow ................ 833 stars
the open local take on typesafe's jev. a 4.4gb model on llama.cpp answers yes / no / pick one / score with a probability on every answer, and you point your api at localhost by changing one url

llm2jev ................... 391 stars
turns qwen3.5-4b into a jev-style decision model. 48ms p50 in their own benchmark, against 652ms for the real jev

fast-browser-use .......... 202 stars
a browser agent that runs 100% local on qwen3.5-9b and plugs into claude code and codex as a skill. opens the right wikipedia article in about 4 seconds, zero cloud calls

deepseekgui ............... 84 stars
a desktop workbench on deepseek harness with git, a built-in browser and memory. you pay deepseek per token instead of a flat $200 a month

oriveo .................... 25 stars
one app for openai, anthropic, gemini, grok, deepseek and 10 more providers, plus ollama on your own gpu. your keys, no subscription, no account

claude still writes my hardest code. the yes or no calls, the browser clicking and the everyday chatting moved to my gpu and my own api keys, and the receipt stopped looking like rent

repos in the comments

[marfin @marfinxx]

this is pure f*cking treasure

A Stanford AI research group found how to orchestrate Claude Opus 5.5 and GPT-6.1 Sol together, and it completely breaks the search scaffolding wall

most developers try to combine frontier models by chaining prompts in one context window or hardcoding rigid evolutionary loops. you burn tokens on context bloat and freeze models into fixed search rules that out-date themselves within 5 iterations

Stanford's architecture eliminates human-designed search scaffolding and splits the cognitive stack:

> search director: Claude Opus 5.5 plans the search, querying a persistent idea-graph where MAP-Elites and MCTS reduce to single Cypher queries
> candidate proposer: GPT-6.1 Sol explores high-entropy code variations inside isolated execution sandboxes
> zero context bleeding: sessions reset after each iteration to prevent prompt bloat while the graph stores lineage
> evaluator isolation: candidate code never touches the scoring process, stopping reward hacking and test leakage cold
> meta-agent distillation: an offline meta-pass extracts verified lessons and updates search guidance across branches

the benchmark metrics outclass standard discovery baselines:

> 3.2x lower model spend than fixed evolutionary frameworks
> 1st place rank across 7 competitive AtCoder heuristic contests against human competitors
> beats published SOTA on Anthropic kernel builder and 11 mathematical optimization tasks
> 0% reward hacks: candidate-controlled metric tampering eliminated

Opus directs the search graph. Sol explores the code

you stop writing rigid search harnesses. you let frontier models own the discovery loop

[Chen @ch3nweiii]

Opus 5.5 + Jev make this AI stack look f…cking illegal

10 GitHub repos that put a decision layer around the model

01 JevRouter
▸ https://t.co/87nptDJN3Z
→ Jev picks the model, subagent, skill or tool for each request, code checks permissions before anything runs

02 blink
▸ https://t.co/I2zVHpe5Wm
→ Jev walks your directory names to find the right file, no embedding index

03 jev-engineering
▸ https://t.co/u9UI2YxqMX
→ hard rules first, then one Jev call, as a Claude Code PreToolUse hook

04 jev-lint
▸ https://t.co/MTJahOFiHF
→ checks every edit against your team rules before code review

05 skills
▸ https://t.co/OoQyo7ddAh
→ the official skills for building and evaluating Jev workflows

06 jev-guard
▸ https://t.co/R2UREiUG6I
→ scores every tool call: allow, ask or deny

07 jevguard-mcp
▸ https://t.co/sXPjcRbvtp
→ an MCP server that rates shell commands and patch regression risk, zero dependencies

08 Edward
▸ https://t.co/lKUvJ55vR7
→ one Jev call judges the whole session: continue, pause or escalate, with signed receipts

09 foreman
▸ https://t.co/4zXSOYEh8S
→ a supervisor that keeps coding agents on task

10 jev-use
▸ https://t.co/aS81vriWYD
→ batched Jev questions inside Claude Code, unsure steps go back to the LLM

the architecture:

route → rules → guard → supervise → ship

I'd split the stack like this:

route:
JevRouter → blink

rules:
jev-engineering → jev-lint → skills

safety:
jev-guard → jevguard-mcp

control:
Edward → foreman → jev-use

Opus 5.5 plans and writes the code. every fork around it goes to Jev

the model is one folder in the stack ⭣

[Jokker @0xJokker]

🔴 ESTO ES UNA LOCURA

Alguien creo un repo en GitHub que te deja usar Claude Code completamente GRATIS y PARA SIEMPRE

Redirige todo tu trafico a 49 proveedores gratuitos como DeepSeek y Kimi

1.3 mil millones de tokens gratis cada mes

Toma 5 minutos en configurarlo

Ya tiene mas de 46k estrellas y miles de devs usandolo ahora mismo

[MyCode @mycodemc]

被稱為「人間清醒」的INTJ，竟然還分這麼多種？
你是外冷內熱的「理性執棋者」，還是社交力全開卻內心孤寂的「內耗哲學家」？
以為MBTI只有16種人格就太過時了，試試這個進階細分版測試！
新增 「果斷A／糾結O」、「高冷C／溫暖H」 兩對維度，準到有點細思極恐...
快測測看你的靈魂進化到哪���階了！

[AI探路者Tim @AIExplorerTim]

50个看似"违法"但完全合法的网站

1. https://t.co/0SFmEjnZqS
下载任何社交媒体视频

2. https://t.co/HztMcN2Owd
免费Photoshop

3. https://t.co/KndlfBp4Tb
一键临时邮箱

4. https://t.co/XDZa2T9fT8
100+免费工具合集

5. https://t.co/OiPck8ztBh
访问任何旧网页

6. https://t.co/Zp1HBVs4te
数百万免费教科书

7. https://t.co/msylkeKsLX
免费研究论文

8. https://t.co/qsh4XAk2cl
查找免费应用替代品

9. https://t.co/wQxE2EsIig
定位任何内容的流媒体位置

10. https://t.co/NDytwqpXBy
7万本免费经典书籍

11. https://t.co/g8BaVsocxt
免费PDF下载

12. https://t.co/1EMkqXbbCJ
精英大学免费课程

13. https://t.co/aISsj8lOxg
瞬间解决任何数学问题

14. https://t.co/gXFBv4MjSs
一键去除背景

15. https://t.co/RD7rAB0dI0
从照片中删除物体

16. https://t.co/MM6oyrCw7H
免费视频去背景

17. https://t.co/fkxnKQEbUm
免费压缩任何图像

18. https://t.co/Jq7tbqzo6A
免费手绘图表

19. https://t.co/FiT4wItJdZ
将代码转换为艺术作品

20. https://t.co/XRN0Jo0qZw
令���印象深刻的代码截图

21. https://t.co/q2wi2GpMfF
实时追踪任何航班

22. https://t.co/qjmv92uNLw
追踪亚马逊价格历史

23. https://t.co/I8eUd7s8OS
检查是否被黑客入侵

24. https://t.co/iC1mrFCytL
扫描任何文件的恶意软件

25. https://t.co/sakLZbMAZL
发送自毁消息

26. https://t.co/6ng2LQse4d
分享自动删除的文件

27. https://t.co/f4T13rCdvD
永久归档任何网页

28. https://t.co/YXJmh0wFuH
从任何网站删除你的信息

29. https://t.co/drQA2ty2Us
收听全球任何电台

30. https://t.co/hEIl0h6QRK
识别任何节目的歌曲

31. https://t.co/7VLTh33Qvj
专注音乐

32. https://t.co/qnOx79t55v
个性化专注音景

33. https://t.co/TiT7TPe9uC
搜索每本已出版的书

34. https://t.co/Pl6oaFV3CW
研究论文AI助手

35. https://t.co/V5giim0zTu
搜索科学共识

36. https://t.co/aFIZbeFCGE
可视化研究地图

37. https://t.co/KWuCLJjr3R
免费学术搜索

38. https://t.co/BpQ7TEPglj
理解任何研究论文

39. https://t.co/kESpFvuEiJ
总结YouTube视频

40. https://t.co/cbCRHVUcqi
开发者AI搜索

41. https://t.co/KX0K7ERXS8
即时测试正则表达式

42. https://t.co/DYymB7O2Oi
清晰格式化任何代码

43. https://t.co/97gxiWpASj
理解终端命令

44. https://t.co/TnamazSovC
浏览器无限画板

45. https://t.co/NLmYnNjdJb
检查网站是否宕机

46. https://t.co/lUGRmfVEEY
反向图像搜索

47. https://t.co/GO5fOKxDOQ
测试网速

48. https://t.co/wINdzs9bdQ
免费编辑PDF

49. https://t.co/XBt9KJJZ3O
合并和分割PDF

50. https://t.co/8fbtRhX8SG
数秒内获得临时邮箱

全部合法。全部免费。

收藏以免遗忘。🔖

[CyrilXBT @cyrilXBT]

CLAUDE CODE CAN NOW PULL LIVE DATA FROM 17,000+ STOCKS, CRYPTO PRICES, AND FINANCIAL STATEMENTS IN SECONDS.

One command. 60 seconds. Done.

Here is the exact setup:

Step 1: Open Claude Code and paste this:

claude mcp add --transport http financial-datasets https://t.co/4twbpUMYd6

Step 2: Authenticate
Type `/mcp` inside Claude Code and complete the OAuth flow in your browser.

Verify the connection anytime:

claude mcp list

Step 3: Start prompting
- "What is Apple's current P/E ratio and market cap?"
- "Show me Tesla's income statement for the last 4 quarters."
- "How has Bitcoin's price changed over the past year?"

That is it.

Claude Code now has direct access to real financial data across 17,000+ stocks, earnings reports, balance sheets, income statements, cash flow data, and crypto prices.

The analysts paying $24,000 a year for a Bloomberg Terminal are not going to be happy this exists.

Before this you needed a Bloomberg Terminal or a complex financial data API or hours of manual research across multiple sources.

Now you need one command and 60 seconds.

The quants, analysts, and portfolio managers who figure out how to combine Claude Code's reasoning with live financial data access will have a research edge that compounds every single day.

Bookmark this before you open your next brokerage account.

Docs if you run into errors: https://t.co/CgF6B3dS5V

Follow @cyrilXBT for every Claude Code integration that changes how you work with data.

[Shann³ @shannholmberg]

this is my AI marketing engine

say I have an idea I want to turn into a campaign. a guide, a cohort, a webinar, something we have been planning for a while, or just something cool I came across and want to build around.

it usually starts as one thing, an idea or an evergreen piece, and this engine is how that one thing becomes a full campaign and fans out across every vertical

the engine is a graph, a general step-by-step the idea moves through. at each step I can swap the harness, the loop, the tool, or the model to fit the campaign

right now I'm testing gstack, superpowers, and matt's skills, engineer tools I'm bending toward marketing

the models can write and design well now. what takes work is the context you feed them, the routing per job, and the evals that catch what is weak

there are eval stops all through the graph. both human and other agents evaluating and reviewing output, and then looping it back if it doesnt

here is the path it travels, from a raw idea down to a shipped campaign

PLANNING

1. the idea in
I dictate the whole thing out loud, every half-formed thought, and let the skill bundle catch the mess and hand me back a starting brief. this is the karpathy point, get it out of your head first and clean it up after

2. ideation
off that brief it opens the idea into angles and directions to choose from. I throw most of them out

3. research and context
this is where I pull context, and how much I need depends on the campaign, sometimes a ton of internal history, sometimes barely any. the internal side is our company brain (gBrain), the voice, the past campaigns, what converted, the offers, the ICP. externally I pull the market, the competitors, the hooks working this week

4. synthesis
different models merge all of that into a draft plan. the plan itself, the architecture and the trade-offs, runs on opus 5, and the narrow work underneath gets cheap fast models. that split is model routing

5. the sign-off
nothing crosses into execution until I sign it off. I read the draft against our marketing protocols, the voice rules, the brand, the SOPs, and I cut, sharpen, or send it back

EXECUTION

6. handing it to the build
once the plan clears the sign-off it goes into the build, and the idea splits into all the parts a campaign needs. here I run two shapes depending on the job. when a piece is one task that has to clear a bar I run a loop, the agent drafts, checks itself, fixes, and keeps circling until it is good.

the bigger many-part pieces I build as a graph, drawing the steps and routes ahead of time so the agents travel the map I laid down. it is usually a bit of both

7. the models doing it
routing runs in execution too, you do not pay opus prices to resize a thumbnail for example

8. what stays with people
some of it I coordinate, some assets I make myself, and the work that needs taste, a relationship, or a client in the room I hand to the agency team

that one idea comes out the other end as a full campaign across every vertical, landing pages, blogs and guides, video scripts, email, PR, paid, and the social cuts

then the results come back in, what got bookmarked, what converted, what died, and that updates the brain for the next campaign

everyone has the same models, so the edge is the graph, the brain, and the protocols, and those you have to build yourself

[CyrilXBT @cyrilXBT]

PEOPLE ARE PAYING FOR AI ENGINEERING BOOTCAMPS BUILT FROM THIS EXACT MATERIAL.

Andrew Ng gave 3 hours of it away free.

00:00 Building agentic AI systems
04:25 Where AI engineering is actually headed
23:38 The full prompting course
2:52:17 Building an app with AI in 30 minutes

The man who taught 8 million people AI just handed you the 2026 curriculum for free.

Watch it, then read the self improving system guide below.

Follow @cyrilXBT

[Lunar @LunarResearcher]

I turned Claude into an entire company

Real agents, skills, memory, and workflows

Everything below is installable

Core Agent Stack

1,000+ agent skills
→ https://t.co/7IQSWp2Rww

Claude Skills Library
→ https://t.co/S5ybKxnjhB

Claude Code Toolkit

135 agents
35 skills
42 commands
176+ plugins

→ https://t.co/8OI86bQLne

Agent Marketplace

191 agents
155 skills
102 commands

→ https://t.co/J4V2c994FM

Memory

Claude-Mem
→ https://t.co/mBL34QvVnK

Pro Workflow
→ https://t.co/MtyvKJDF8U

Agent Teams

Claude Code subagents
→ https://t.co/kHjb3R0Ffd

Agency Agents
→ https://t.co/riYORiBKQr

Marketing

120 marketing skills
→ https://t.co/afVzykVNBe

Marketing Skills
→ https://t.co/UrPt9uUcZt

Content

30 skills + 5 agents
→ https://t.co/6qWbcg6GBz

Ads

15 skills + 5 agents
→ https://t.co/Upups1MGTD

Product

67+ product skills
→ https://t.co/oZijif7WFk

Knowledge Work

Anthropic’s own job-specific plugin stack
→ https://t.co/qHsYYuM69j

Not prompts

Not wrappers

A real operating stack for Claude

Bookmark this and build your own AI company

[Charlie Hills @charliejhills]

I turned Claude into an entire company.

42 skills, organised like a real org chart (links below):

Here is every department, and where to get each one.

Developers

Superpowers

→https://t.co/tGNwFVYsEa

Context7

→ https://t.co/oExBVynS4S

Skill Creator

→ https://t.co/iR9fyxUFvL

MCP Builder

→ https://t.co/iR9fyxUFvL

Webapp Testing

→ https://t.co/iR9fyxUFvL

Claude-Mem

→ https://t.co/emHpdPtiUO

Designers

UI UX Pro Max

→ https://t.co/54NvwKmBix

Taste

→https://t.co/gFud3Sa93j

Frontend Design

→ https://t.co/gFud3Sa93j

Transitions

→ https://t.co/kZP238n3Zy

Web Artifacts

→https://t.co/iR9fyxUFvL

Brand Guidelines

→ https://t.co/iR9fyxUFvL

Marketing

45 skills to run your marketing, from copywriting to SEO to lead magnets.

Access them all here

→ https://t.co/oBsac9TKK4

Social Media

17 skills to run your social media, from post writing to Reels to thumbnails.

Access them all here

→ https://t.co/ZwNtoUTdVm

Finance

8 skills to run your finances, from statements to reconciliation to audits.

Access them all here

→ https://t.co/qk0ioMAxim

Small Business

31 skills to run your small business, from cash flow to payroll to invoicing.

Access them all here

→ https://t.co/m9kHptmfv9

Legal

9 skills to handle your legal work, from contract review to NDAs to compliance.

Access them all here

→https://t.co/ucxqTYH4v9

Every skill on the chart is real and installable from the links above.

Repost ♻️ this to help your network build their own.

[codila @0xCodila]

Claude Code team just dropped a free course on loop engineering with Fable 5:

00:00 - how Claude Code works under the hood
05:01 - the agentic loop explained
16:21 - the feature 99% of devs miss: auto mode
19:01 - why voice beats typing
32:34 - auto code review with draft PRs
58:39 - Fable 5 for non-code work

this free course replaces every paid Claude Code tutorial

watch today, then read the article below on loop engineering by Karpathy

[CyrilXBT @cyrilXBT]

https://t.co/XxnZrmtgw5

[CyrilXBT @cyrilXBT]

ANTHROPIC JUST OPEN SOURCED THE ENTIRE WALL STREET WORKFLOW AND FIRMS ARE NOT GOING TO BE HAPPY ABOUT IT.

DCF models. LBO models. Equity research reports. Merger analysis. KYC checks.

All of it. Free. On GitHub.

Here is what just became available to anyone with a laptop.

Direct connections to Bloomberg, FactSet, S&P Global, Morningstar, and PitchBook.

Real Excel models with live formulas and sensitivity tables built automatically.

CIMs, IC memos, earnings reports, and buyer lists drafted on demand.

PE due diligence, GL reconciliation, and NAV tie-outs running as production agents.

This is not a chatbot wrapper that summarizes financial news.

These are production agents that own entire financial workflows end to end.

The kind that investment banks and private equity firms pay $50,000 to $500,000 per year in software licenses to run.

Now it is a one-line Claude Code plugin install.

19,800 GitHub stars.

Apache 2.0 license.

100% open source.

Think about what this actually means.

A junior analyst at a bulge bracket bank spends 80% of their 100-hour week running models, drafting memos, and compiling data across Bloomberg and FactSet.

That entire workflow just became a Claude Code agent.

The banks charging clients $500 an hour for analysis that this system produces in minutes are not going to tell you this exists.

The boutique advisory firms charging $50,000 retainers for due diligence work that these agents handle autonomously are not going to promote this repo.

But it is already live.

19,800 people have already starred it.

The window where knowing this gives you an edge over every analyst, associate, and advisor still doing this manually is open right now.

Star it. Fork it. Deploy it this weekend.

Bookmark this before your next financial model.

Follow @cyrilXBT for every open source release that disrupts an overpriced industry the moment it drops.

[CyrilXBT @cyrilXBT]

https://t.co/dNUmnhEj4i

[CyrilXBT @cyrilXBT]

KARPATHY REPORTEDLY SAID 10X ENGINEERS ARE NORMAL NOW.

REAL AGENTIC ENGINEERS ARE 100X.

The actual playbook for getting there. Context engineering.

Tool design.

Orchestrator and subagent patterns. Evals. The harness mindset.

None of these are optional anymore if you want to be in that second category.

Watch it this weekend. Bookmark it before then.

[WildCat🐱 @WildCat1688]

https://t.co/zTvZc7ZNft

[梭哈.AI @SUOHA_AI]

跟 Serenity 学美股：她持有的7个欧洲光子学股票分析

Serenity持有7个欧洲多头仓位：$SIVE（Sivers）、$SOI（Soitec）、$LPK（LPKF）、$RPI（Raspberry Pi）、$IQE、$ALRIB（Riber）、$XFAB（X-FAB）

---
每个标的对应产业链不同位置：

$SIVE：InP激光器层（CPO核心光源瓶颈）
$SOI：SOI晶圆层（硅光子学物理基底，全球>80%垄断）
$LPK：玻璃基板加工设备层（LIDE技术，唯一验证量产路径）
$ALRIB：MBE设备层（分子束外延，近乎垄断，Microsoft Quantum直接采购）
$IQE：���延晶圆层（西方化合物半导体关键供应商）
$XFAB：代工层（SiC代工高速增长+硅光代工期权，Nvidia将评估）
$RPI：系统层（边缘AI部署工具，独立于光子学链的期权）

前两层（激光器+SOI晶圆）最接近真实扩产约束，后续环节需要更强订单证据支撑

---

产业链怎么拼起来的？

SOI晶圆（Soitec）
↓ 硅光子学基底
InP激光器（Sivers） + MBE设备（Riber） + 外延晶圆（IQE）
↓ 核心器件
玻璃基板加工（LPKF LIDE） + SiC/硅光代工（X-FAB） ↓ 封装与制造
边缘AI部署（Raspberry Pi）
↓ 终端应用

---
关键词科普

CPO（共封装光学）：把光引擎直接塞进芯片封装，功耗更低、延迟更低、带宽密度更大

InP（磷化铟）：CPO时代的核心激光器材��，功率、波长稳定性、热管理要求极高

SOI（绝缘体上硅）：硅光子学的“地基”，没有它就做不了光波导和光电探测器

MBE（分子束外延）：真空里一层一层“长”晶体的技术，量子点和先进外延必备

LIDE（激光诱导深蚀刻）：在玻璃上打微孔的关键工艺，玻璃芯基板量产的核心

---

顺着Serenity @aleabitoreddit 的思路看

AI算力爆炸 → 带宽压力暴增 → 可插拔光模块吃不消 → CPO成为必选项 → 激光器从“组件”变成“核心器件” → SOI晶圆需求刚性 → MBE设备和外延工艺成为关键 → 玻璃基板+先进封装是下一代路径 → 代工能力决定落地速度 → 边缘AI是最终应用场景

欧洲不想再被卡脖子，正在从上到下���完整本土供应链，这7个标的正是关键节点

---

我个人理解的股票潜力排序（仅供学习）

1. $SIVE 上行潜力最大（激光器层最接近CPO物理瓶颈，垂直整合空间大）
2. $SOI 已重新估值最多，但垄断地位仍在，CPO加速仍有空间
3. $LPK 和 $ALRIB 虽有垄断技术，仍被低估（设备“卖铲子”逻辑强）
4. $XFAB SiC增长152% + 硅光代工期权，提供安全边际
5. $IQE 有类似Landmark的重新估值机会（西方替代+长期协议）
6. $RPI 是独立的边缘AI期权，逻辑相对独立

容易错的地方：CPO商业化节奏慢于预期，或AI资本开支见顶，整个光子学链的需求逻辑都会被削弱

[gus @igus_ai]

CLAUDE AHORA OPERA MI TRADINGVIEW SOLO.
NO TOQUÉ EL RATÓN NI UNA VEZ

Le pedí:
"Encuéntrame todos los futuros de BTC con RSI por debajo de 30 y volumen +200% a la vez"

14 segundos después:
→ 6 contratos encontrados
→ Gráficos cargados automáticamente
→ Soportes dibujados
→ Script de Pine corriendo backtest
→ Zonas de entrada marcadas

Luego: "Reproduce la semana pasada y enséñame dónde habría entrado mi sistema"

Pasó solo a modo replay. Vela por vela, marcando cada entrada y calculando PnL en directo.

9 operaciones. +4.780$ teóricos en el backtest. 83% de acierto (en esa prueba, ojo, backtest no es real).

También le pido indicadores:
"Escríbeme un oscilador de momentum que cruce actividad de ballenas con tendencia de precio"

40 segundos. Script listo, indicador en el gráfico.

La mayoría sigue pasando 50 gráficos a mano.

Esto barre 200+ en un minuto.
Escanea, dibuja, testea, calcula.

No reemplaza tu estrategia.

La ejecuta mucho más rápido.

El tutorial del post de abajo te enseña cómo montar tu propio bot de trading👇