トキオZBMAN

[トキオZBMAN @tokiozb]

Amazing!!!

[Maxon ZBrush @maxonzbrush]

This Game of Thrones inspired dragon was created by ZBrushCentral member Predrag Krishan as a personal challenge! Incredible results! See more of it at: https://t.co/6vtZ38rcx9
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#ZBrush #ZBrush2022 #Dragon

[トキオZBMAN @tokiozb]

https://t.co/5Fc0tn9PtC
FinPow MCP เปิดทางให้ Claude ดูรายการเอกสารและอ่านเอกสาร เหมาะกับการถาม สรุป และทำความเข้าใจเอกสารเบื้องต้นโดยไม่ต้องดาวน์โหลดไฟล์
ช่วยอ่านเอกสารการเงินได้อย่างปลอดภัย
#MCP #ClaudeAI #AIการเงิน #AIธุรกิจ #การเงินธุรกิจ #วิเคราะห์การเงิน #เจ้าของธุรกิจ

[Andreas Storm @avstorm]

Apple has introduced new Mac mini

[阿西_出海 @axichuhai]

独立游戏开发者的神器来了

发现一个能直接生成完整游戏的开源项目，在 GitHub 已经斩获 5k+star

它叫 Godogen，告诉它你要什么类型的游戏，它会自动完成架构设计、美术生成、代码编写、引擎截图和视觉质检的全流程，最终交付一个结构清晰、可直接运行的完整游戏项目

内置视觉质检循环，会从运行中的游戏引擎捕获截图，自主识别并修复渲染问题，不用人工盯着改

支持 Godot 4、Bevy、Babylon.js 三个主流引擎

通过 Claude Code 或 Codex 驱动，包含 850 多个 GDScript 类定制的语言参考和懒加载 API 文档，普通硬件就能跑

[トキオZBMAN @tokiozb]

FinPow ก้าวไปอีกขั้น 🚀

วันนี้ AI สรุปภาพการเงินธุรกิจได้แล้ว
รายรับ รายจ่าย ยอดสุทธิ และสิ่งที่น่าตรวจสอบ

อ่าน >วิเคราะห์ >สรุป >อธิบาย
โดยไม่แก้ไขหรือลบข้อมูลลูกค้า 💜

AI อ่านเอกสาร สู่ AI คู่หูทางการเงิน

คู่มือ https://t.co/LR16jqGesP

https://t.co/2qoMj16cVp

#FinPow #AI

[Sripathi Teja @sripathiteja4]

Learn AI for free directly from top companies.

1 - Anthropic:
https://t.co/9EduZDcj9Z

2 - Google:
https://t.co/99Czpf5KKs

3 - Meta:
https://t.co/dBBKUQueyj

4 - NVIDIA:
https://t.co/8jpLrGJzxy

5 - Microsoft:
https://t.co/wmK2R8oilJ

6 - OpenAI:
https://t.co/ifQ8cEx0Qt

7 - IBM:
https://t.co/QFGI0v8Cqa

8 - AWS:
https://t.co/nati5WaARH

9 - https://t.co/0vjKn1mtg2:
https://t.co/bOlcLMfgyd

10 - Hugging Face:
https://t.co/bmSTfzCvB4

Comment "Learning" if you find this helpful.

Repost so others can take help.

Must bookmark for future reference.

[Anatoli Kopadze @AnatoliKopadze]

Google just released a free 2-hour course on graph engineering and it's the clearest breakdown of wiring agents into a system that scales on its own.

17:44 - your first AI agent
39:30 - running agents with loops
1:12:38 - turning loops into graphs
1:34:26 - self-improving agents
1:55:05 - a complete graph that runs itself

Worth more than any $700 course you'll find.

Watch it, then go further with the step-by-step guide below on how to build a system that improves itself.

[Roan @RohOnChain]

Don't waste 2 years learning to become an AI engineer in 2026.

Google just gave the complete playbook on full AI agent engineering.

2 hour course. Free:

• 00:00 - build your first AI agent
• 45:38 - multi agent architecture
• 55:30 - AI agents with MCP tools
• 1:30:45 - AI agent loop engineering
• 1:39:54 - AI agent graph engineering

I watched it last night.

Halfway through, I realized I could break into Anthropic in weeks, not years.

Bookmark now. Watch it. Then build your own AI agent with the guide below.

[Codez @0xCodez]

Creator of Claude Code:

“I’m not prompting my agents anymore. I’m building "graphs" and "loops" - they’re building my agent.

in 3-6 months, we’ll all be doing graph engineering for our agentic systems.”

in 10-minute talk, Boris Cherny revealed what the future of agentic engineering will look like.

worth more than a $500 agentic AI course.

Watch it today, then read the full roadmap in the article below.

[Lunar @LunarResearcher]

Google just released a free 2-hour course on full Graph Engineering.

How to go from one prompt to an agent graph that builds itself:

10:16 - Build your first AI agent
41:05 - Master prompt engineering
54:45 - Turn agents into graphs
1:20:10 - Run loops inside agent graphs
1:43:33 - Build a graph that builds itself

Most people ship one agent and stop there.

Google is teaching everything after:

Prompt → Agents → Graphs → Loops → Self-Building Systems

Single agents are the old workflow.

Graphs that evolve themselves are the new one.

This 2-hour watch is worth more than most paid agent engineering courses.

Bookmark and watch it today

Then read how to run 1,000 agents from one prompt below ↓

[codila @0xCodila]

Ex-Google Jeff Dean just released 1-hour lecture on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%:

0% → 1:45 - LLM from scratch - that made Google
30% → 17:22 - how to actually use AI models
65% → 30:03 - prompt engineering
100% → 52:35 - one human coordinating 100 agents

this is 27 years of AI in Google compressed into one hour, by the person who lived it

watch it today - then read how to build graphs in the article below ↓

[Lunar @LunarResearcher]

Andrej Karpathy just explained the 5 shifts turning LLMs into agentic systems.

00:00 - Memory turns chat into personal AI
06:41 - Multimodal AI reads the world
16:58 - Thinking models solve harder tasks
24:51 - Search makes LLMs live
30:58 - Tools turn LLMs into workers

Most people are still treating LLMs like chatbots.

Karpathy is showing the full stack:

Memory → Vision → Reasoning → Search → Tools

Prompting is the old workflow.

Agentic systems are the new one.

This 40-minute talk is worth more than most paid AI agent courses.

Bookmark and watch it before everyone catches up.

Then read how to turn LLMs into self-improving agent loops below

[半吊子程序猿大铭 @CoderDaMing]

中国开源了一个花生大小的OCR，能一次性解析整个100页PDF。

叫'Unlimited-OCR'。仅3B参数。本地运行。

其他OCR工具都是逐页切割文档，容易丢失上下文。这个一次性读取整个文档。

→ 单次'长视野'解析（32K上下文窗口）
→ 开箱即用多语言支持
→ 标准基准测试93%准确率（+6超基线）
→ 40页以上<0.11错误率
→ 100%本地运行
→ 支持Transformers、vLLM、SGLang、Docker、Ollama、llama.cpp

传统云端OCR（Textract、Google Vision、Azure）成本1.5-15美元/千页。

这个在你的机器上运行。永久免费。

百度开发它来推进'DeepSeek-OCR'。已在HuggingFace获190万次下载，多数人还不知道它。

100%开源。

[0xkevin (🖤 , 💙) @0xKevin00]

看了 Kimi 创始人杨植麟的这段采访，我最大的感受是这一代 AI 新贵，身上已经没了马云、王健林、刘强东那代互联网企业家的江湖气了，看着就不像会研究谁坐主位、鱼头朝向的人

杨植麟不愧是天才，清华本科年级第一毕业，而且科科都是满分

[Alibaba Cloud @alibaba_cloud]

Qwen-Audio-3.0-TTS is here. 🎙️

Our latest text-to-speech model, in two flavors:
• Flash: real-time interaction
• Plus: high-quality generation

What's new:
• Multilingual coverage across 16 languages
• Style control in natural language
• Fine-grained tags for non-verbal details
• More robust voice cloning from imperfect audio

🔗 https://t.co/djyDePBiwV

[Marco @maarcoofdezz]

Ahora Claude Code puede leer documentaciones completas sin gastar un solo token.

Solo necesitas conectarlo a NotebookLM de Google vía MCP.

Aquí el tutorial de cómo hacerlo. ⬇️

[z @zaynmcps]

NVIDIA ESTÁ REGALANDO ACCESO A MÁS DE 80 MODELOS DE IA Y CASI NADIE SE HA DADO CUENTA

a través de sus APIs alojadas tienes acceso gratis a:

→ MiniMax M2.7
→ GLM 5.1
→ Kimi 2.5
→ DeepSeek 3.2
→ GPT-OSS-120B

se conecta directo con Hermes, Cursor y OpenCode

configuración:

1/ saca tu api key en https://t.co/TLcyPycgrb
2/ base_url = “https://t.co/eVRBmtO2A1”
3/ api_key = “$NVIDIA_API_KEY”
4/ elige modelo (ej. minimaxai/minimax-m2.7)

tantos proyectos están regalando acceso estos días, solo hay que aprovecharlo

[Qwen @Alibaba_Qwen]

🚀🚀

[gus @igus_ai]

El CEO de Anthropic viendo como China lanza un nuevo modelo de IA que supera a Claude Opus 4.8 en TODO, iguala a Fable 5 costando 8 VECES MENOS, que encima es 100% Open source y no puede hacer nada al respecto

[トキオZBMAN @tokiozb]

@huggingface

[Simplifying AI @simplifyinAI]

You can now use Figma for FREE with this tool.

It's called Penpot.

An open-source design tool that mirrors Figma's layout and workflow, free, self-hostable

→ MCP server lets AI agents edit your designs directly
→ Free Dev Mode with instant CSS, SVG, and HTML
→ Native design tokens keep design & code in sync
→ Real-time collaboration built in

100% Free. Open source.