Kaiju no. 99 😻😹😼👽

INTP-T | Just another side, Pls be more kind to me.

[Kaiju no. 99 😻😹😼👽 @ging_k8]

หาเพื่อนไปเทรค Everest Base camp ( EBC)
#ebc #tracking #ebctracking #mountaineering

[Mustafa @oprydai]

markov chains are simple but powerful.

they model systems where the next state depends on the current state.

not the whole past.

• states → possible conditions
• transitions → ways the system moves
• probabilities → uncertainty with structure
• memorylessness → only now matters
• steady state → long term behavior emerges

weather.
markets.
language.
biology.
robot navigation.
queues.

markov chains teach you a brutal systems lesson:
complex behavior can emerge from simple transition rules.

[Nav Toor @heynavtoor]

https://t.co/mFvSsFIzlm

[Perth Woratana 🇦🇺🇹🇭 @woraperth]

Design เว็บ Portfolio ด้วย Google Stitch แบบใช้สไตล์ของ Notion

น้องทำดี ทำถึง สวยมากกกกกก

(วันอาทิตย์นี้มีสอนใน Live เข้าชม Free trial ได้ เดี๋ยวแปะในคอมเม้นท์ให้ครับ)

[tut_ml @tut_ml]

Best Neural Network Courses- https://t.co/HtYCx9lEDT

[อิก บรรพต ธนาเพิ่มสุข @Eig_Banphot]

#สอนจับมือทำ Fable 5 Claude วิเคราะห์หุ้น ง่ายกว่าที่คิด | EP.4⁣
⁣
ลองโมเดลใหม่ของ Fable 5 Claude สามารถวิเคราะห์ได้มากกว่าที่เราคิด และก็ง่ายกว่าที่เราคิดด้วย ต้องดูคลิปนี้ครับ‼️⁣
⁣
สอนโดย อิก บรรพต ธนาเพิ่มสุข ที่ปรึกษาการเงิน AFPTtm⁣
.
https://t.co/3lCATDDHcf

[Rahul @sairahul1]

How to build your first AI agent (Full guide)

[Quant Science @quantscience_]

A 23-page research paper reveals the number 1 method Hedge Funds use to beat the market:

Time Series Momentum

This is how: 🧵

[tut_ml @tut_ml]

Best LLMs Courses- https://t.co/LY41Y8jQqO

[Hamza Khalid @humzaakhalid]

THIS IS KARPATHY'S OBSIDIAN VAULT, THE BRAIN BEHIND A MILLION-DOLLAR COMPANY.

But your vault looks so messed up with orphaned and dead notes.

I revived 5,000 dead notes with Claude in 20 mins.

Here's the exact 5 Claude prompt system: (copy-paste ready) 🧵👇

[jessald @jessald]

Experimenting with graph layouts.
https://t.co/c8QnkD5fGJ

[Tech with Mak @techNmak]

This is the best way to learn how LLMs work.

Interactive. 3D. Step-by-step.

Covers:
→ Embedding
→ Layer Norm
→ Self-Attention
→ MLP
→ Transformer layers
→ Softmax
→ Output

Stop reading papers. Start seeing.

Link in comments.

Save this immediately.

[鸟哥 | 蓝鸟会🕊️ @NFTCPS]

家人们，今天给你们扒10个GitHub上免费到离谱的仓库，每一个都能干掉你正在按月交钱的软件，看完别说鸟哥没提醒你。

1️⃣ TradingAgents
一整支AI分析师团队在你电脑里吵架做单。基本面、情绪、新闻、技术分析师同时开工，最后风险经理和执行代理拍板。等于把一支华尔街团队7×24小时塞进你笔记本，还不要工资。
🔗 https://t.co/kwYRkz5PuO

2️⃣ LibreChat
一个界面把ChatGPT、Claude、Gemini、DeepSeek等20多个模型全收了，支持自托管和原生MCP。数据是你的，基础设施是你的。能自己跑，凭啥还交月费？
🔗 https://t.co/V3iCwASOCA

3️⃣ HyperFrames
HeyGen把自家视频引擎开源了。写个HTML就能产出生产级MP4，原生支持GSAP、Lottie、Three.js，同样输入永远同样输出。
🔗 https://t.co/6Gp8NAb38O

4️⃣ Fincept Terminal
笔记本上跑的彭博终端平替，AI投资代理灵感来自传奇投资人。深度财报分析、市场情报、几十个数据源，企业级的钱一分不用掏。
🔗 https://t.co/e0Fgr7sK1S

5️⃣ MoneyPrinterTurbo
丢个关键词，脚本、画面、字幕、音乐、成片一条龙。横屏竖屏随便选，基本不用动手剪。
🔗 https://t.co/yFPFib4nBr

6️⃣ Agentic Inbox
Cloudflare开源的AI邮件客户端，AI帮你读收件箱、起草回复，全程数据不出你的地盘。没有外部服务器，没有订阅费。
🔗 https://t.co/tbEaZSfis8

7️⃣ VoxCPM
几秒音频就能克隆声音，几十种语言高质量输出，还能凭一句文字描述捏出定制嗓音。
🔗 https://t.co/SlEimVxLez

8️⃣ Flowsint
输个域名，关联的IP、子域名、邮箱、加密钱包、社交账号全给你画成图。纯本地跑，做私密调查和OSINT情报的神器。
🔗 https://t.co/5UguHbZpwx

9️⃣ agent-skills
谷歌工程师Addy Osmani放出了他生产环境验证过的Claude Code技能库，API设计、调试、代码审查、CI/CD、前端工程全覆盖。
🔗 https://t.co/52Ef6XqvAz

🔟 Nango
企业每年砸几千刀的集成层，几百个预置API、托管OAuth、AI生成集成代码，一堆高速创业公司和企业团队都在用。
🔗 https://t.co/tlv7hGZZs1

这些可不是练手的玩具项目，每一个都能替掉你还在月月付费的软件。

挑一个，装上，塞进你的工作流。100%免费，100%开源。

省下的钱，记得请鸟哥喝杯咖啡。

[Blue News @Mrblue]

มาปุ้บแดกปั้บลูกไม้ไม่ไกลต้นจริงๆ

[leopardracer @leopardracer]

https://t.co/XJsET8xTbx

[Avid @Av1dlive]

the anthropic claude for finance lecture is the best free hour in quant AI right now.

bookmark & watch today. It's the most valuable 1 hour in quant AI right now. Then read article below.

[Brij Pandey @LearnWithBrij]

AI INFRASTRUCTURE — MASTER TREE 🌲

AI Infrastructure
│
├── 01. Compute Layer
│ ├── GPUs
│ │ ├── H100
│ │ ├── B200
│ │ ├── MI300X
│ │ └── TPU v5
│ │
│ ├── Inference Engines
│ │ ├── vLLM
│ │ ├── TensorRT-LLM
│ │ ├── Ollama
│ │ └── llama.cpp
│ │
│ └── Optimization
│ ├── Quantization
│ ├── KV Cache
│ ├── Speculative Decoding
│ └── Flash Attention
│
├── 02. Model Layer
│ ├── Frontier Models
│ │ ├── GPT-4.1
│ │ ├── Claude
│ │ ├── Gemini
│ │ └── DeepSeek
│ │
│ ├── Open Models
│ │ ├── Llama
│ │ ├── Qwen
│ │ ├── Mistral
│ │ └── Gemma
│ │
│ └── Fine-Tuning
│ ├── LoRA
│ ├── RLHF
│ ├── DPO
│ └── Synthetic Data
│
├── 03. Data Layer
│ ├── Data Pipelines
│ ├── Chunking
│ ├── Embeddings
│ ├── Vector Databases
│ ├── Knowledge Graphs
│ └── Real-Time Streams
│
├── 04. Agent Runtime
│ ├── LangGraph
│ ├── CrewAI
│ ├── OpenAI Agents SDK
│ ├── AutoGen
│ ├── MCP
│ └── Workflow Engines
│
├── 05. Tooling Layer
│ ├── Web Search
│ ├── Browser Use
│ ├── Code Execution
│ ├── APIs
│ ├── Databases
│ └── File Systems
│
├── 06. Deployment Layer
│ ├── Docker
│ ├── Kubernetes
│ ├── Serverless GPUs
│ ├── Edge Inference
│ ├── Cloudflare Workers
│ └── HuggingFace Spaces
│
├── 07. Observability
│ ├── Logs
│ ├── Traces
│ ├── Evaluations
│ ├── Hallucination Detection
│ ├── Latency Tracking
│ └── Cost Monitoring
│
├── 08. Security Layer
│ ├── Sandboxing
│ ├── Permission Systems
│ ├── Secret Management
│ ├── Guardrails
│ ├── Human Approval
│ └── Jailbreak Protection
│
└── 09. The Future
├── AI Browsers
├── AI Operating Systems
├── Autonomous Research Labs
├── AI Employees
└── One-Person Unicorns

Most people think AI is just a model.

The real moat is the infrastructure stack around it.

[อิก บรรพต ธนาเพิ่มสุข @Eig_Banphot]

กลุ่มทุนญี่ปุ่น เริ่มทยอย ถอนทุนไทย จีนเข้ามาแทน
.
#TAMEIG #อิกบรรพต #ลงทุนเพราะอยากมีเงินใช้ตลอดชีวิต

[Kaiju no. 99 😻😹😼👽 @ging_k8]

@Khao135350 น้องออกจะสวยขนาดนี้

[Tech with Mak @techNmak]

Claude Code can run entirely on your local GPU now.

Unsloth AI published the complete guide.

The setup itself is straightforward - llama.cpp serves Qwen3.5 or GLM-4.7-Flash, one environment variable redirects Claude Code to localhost.

But the guide is valuable because of what it explains beyond the setup:

Why local inference feels impossibly slow: Claude Code adds an attribution header that breaks KV caching. Every request recomputes the full context. The fix requires editing settings.json - export doesn't work.

Why Qwen3.5 outputs seem off: f16 KV cache degrades accuracy, and it's llama.cpp's default. Multiple reports confirm this. Use q8_0 or bf16 instead.

Why responses take forever: Thinking mode is great for reasoning but slow for agentic tasks. The guide shows how to disable it.

The proof it all works: Claude Code autonomously fine-tuning a model with Unsloth. Start to finish. No API dependency.

Fits on 24GB. RTX 4090, Mac unified memory.

[Nas @Nas_tech_AI]

BREAKING: AI can now build financial models like Goldman Sachs analysts (for free).

Here are 12 Claude prompts that replace $150K/year investment banking work (Save for later)