🦞Ollama's cloud is one of the best places to run OpenClaw.
$20 plan is enough for most day to day OpenClaw usage with open models!
To make the switch, all you need is to open the terminal and type:
ollama launch openclaw
Choose a model:
kimi-k2.5:cloud
glm-5:cloud
minimax-m2.7:cloud
If you are affected, Ollama welcomes you!! ❤️
Veo 3.1 Lite is here!
Our most cost-effective model, empowering you to build high-volume video applications.
Plus, we're launching in private preview a new Veo upscaling capability on Vertex AI to help you enhance your existing video assets ↓ https://t.co/WKNe7ipEdZ
You can now chat with Manus on LINE!
1. Access the "Agents" tab within Manus and click "Get Started"
2. Select "LINE" and scan the QR code with your smartphone.
3. After linking your account, send a message!
Who wants to know how Gemma 4 works?
This visual guide breaks down the new architectures and how they process text, images, and (for the smaller models) audio.
👇
Stop wasting hours trying to learn AI. 📘📚
I have already done it for you.
With one list. Zero confusion. And no fluff
📹 Videos:
1. LLM Introduction: https://t.co/kJDquHyQuR
2. LLMs from Scratch: https://t.co/0tVKf67LWE
3. Agentic AI Overview (Stanford): https://t.co/F3eMqlyx7o
4. Building and Evaluating Agents: https://t.co/p2wAwQkmc1
5. Building Effective Agents: https://t.co/soZEzoU6eu
6. Building Agents with MCP: https://t.co/7rXLH619p4
7. Building an Agent from Scratch: https://t.co/JVVEvlwcvH
8. Philo Agents: https://t.co/oALtKeEhg1
🗂️ Repos
1. GenAI Agents: https://t.co/SzAvw64ZA3
2. Microsoft's AI Agents for Beginners: https://t.co/MYCOwStucr
3. Prompt Engineering Guide: https://t.co/zFZJT6V60r
4. Hands-On Large Language Models: https://t.co/S5E4390RIk
5. AI Agents for Beginners: https://t.co/MYCOwStucr
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/mAb4b9Li9o
8. Hands-On AI Engineering:https://t.co/2QvXB3WJhe
9. Awesome Generative AI Guide: https://t.co/dYaAsRgfO6
10. Designing Machine Learning Systems: https://t.co/jRxshvMgJt
11. Machine Learning for Beginners from Microsoft: https://t.co/6u48FQng1g
12. LLM Course: https://t.co/o0NnbEjH6X
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/cs0P2Tt165
2. Google's Agent Companion: https://t.co/Qnv3PsJZIx
3. Building Effective Agents by Anthropic: https://t.co/5ZfcMllO9N.
4. Claude Code Best Agentic Coding practices: https://t.co/zX9ep8ER0h
5. OpenAI's Practical Guide to Building Agents: https://t.co/uwdBKet060
📚Books:
1. Understanding Deep Learning: https://t.co/Rix5N440Y8
2. Building an LLM from Scratch: https://t.co/V20ES23ZH8
3. The LLM Engineering Handbook: https://t.co/avpqPTA0I8
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/8bgDLtebU0
5. Building Applications with AI Agents - Michael Albada: https://t.co/W70co41CCW
6. AI Agents with MCP - Kyle Stratis: https://t.co/vF8VqTeyfA
7. AI Engineering: https://t.co/eJrAoLMW0Z
📜 Papers
1. ReAct: https://t.co/SFgUispJcP
2. Generative Agents: https://t.co/q50bu1PPnQ.
3. Toolformer: https://t.co/CFssbdAXvQ
4. Chain-of-Thought Prompting: https://t.co/n84jvdyxWL.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/yhVP0jcs6w
2. MCP with Anthropic: https://t.co/w9LxesXtjx
3. Building Vector Databases with Pinecone: https://t.co/GeI4yarzHH
4. Vector Databases from Embeddings to Apps: https://t.co/eMrFYZaY8d
5. Agent Memory: https://t.co/hjbH72Qwqr
Repost for your network ♻️
OpenClaw 2026.4.1 🦞
🤖 GLM 5.1 + failover that doesn't loop
🛡️ AWS Bedrock Guardrails
📋 /tasks — your agent keeps receipts
⏱️ Cron per-job tool allowlists
🔧 40+ stability & exec fixes
We're renaming to ClankerBot. This is not a joke. Okay it is. https://t.co/LVk4om4cET
Anthropic ran their entire marketing operation with one person.
$380 billion company.
Paid search. Paid social. SEO. Email. App stores.
One non-technical hire doing all of it — for 10 months.
I pulled it apart.
Compared it to every system we've built across the clients we've worked with.
Then asked myself one question:
If I had to reverse engineer this from scratch — what would it actually look like?
Turns out the architecture isn't that complicated.
I mapped the whole thing into a 47-page PDF you can upload directly to any LLM.
It coaches you through building your own version step by step.
Comment "marketing" and I'll send it over.
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