MoArk

The AI community shaping tomorrow.

[MoArk @moark2025]

🚀 Get ready, folks! Moark is almost here, serving up something amazing! Stay tuned! 👀
#AI #Moark #OpenSource #ComingSoon

[MoArk @moark2025]

27 billion parameters. Open-source. Surprisingly capable. 👀
Qwen3.5-27B is redefining what mid-size models can do — strong reasoning, multilingual support, and ready to deploy. The gap between open and closed models keeps shrinking. 😃
Click here👇
https://t.co/BIse3nbilT
#Qwen #OpenSource #AI #LLM #GenAI #MoArk

[MoArk @moark2025]

加班已经卷到🦞界了吗

[MoArk @moark2025]

OpenClaw 🦞vs Claude Code🤖?
They’re not competitors. They’re teammates.
Where Claude Code shines
• Writing code — seriously powerful
• Runs in the terminal, right next to your project
• Refactoring, debugging, writing tests — fast and precise
• Perfect when you're at your computer focused on building
Where OpenClaw shines
• Long-term memory — remembers what you said last week
• Connects to WeChat / Feishu — command it from your phone
• Multi-agent workflows — one handles code, another handles tasks
• Perfect for getting things done even when you're away from your laptop
How I actually use them
Daytime → Claude Code pair-programming in the terminal
Evening → OpenClaw watching metrics & running tasks in Feishu
Weekend → OpenClaw handling small things from my phone
Don’t choose. Use both.🤓

[MoArk @moark2025]

Claude Code just launched AI-powered multi-agent code review. A team of agents analyzes PRs in parallel, verifies bugs, filters false positives, and comments directly in the PR. ~20 min per review. ~$15–25 depending on PR size.
Not cheap — curious to see how much value it delivers.🧐

[Claude @claudeai]

Introducing Code Review, a new feature for Claude Code.

When a PR opens, Claude dispatches a team of agents to hunt for bugs.

[MoArk @moark2025]

MiniMax M2.5 is now live as the first open-weight model inside Notion Custom Agents, optimized for lightweight, high-frequency agent workflows.
It brings strong reasoning, solid coding ability, and efficient long-context handling — while remaining cost-efficient for scalable agent use cases.
try it now！
https://t.co/BaGiUs6ZtV

[MoArk @moark2025]

GPT-5.4 just landed 👀

What are you testing first?

[OpenAI @OpenAI]

GPT-5.4 Thinking and GPT-5.4 Pro are rolling out now in ChatGPT.

GPT-5.4 is also now available in the API and Codex.

GPT-5.4 brings our advances in reasoning, coding, and agentic workflows into one frontier model.

[MoArk @moark2025]

很多人问 OpenClaw 怎么接 MCP？
其实很简单，3 步就能搞定配置：
1⃣安装 MCPorte
2⃣ 添加 MCP 服务
3⃣验证服务是否正常
完成之后，OpenClaw 就可以通过 MCP 调用各种应用， 比如小红书、闲鱼、麦当劳等服务接口，让 AI 帮你自动化操作，玩转互联网
Curious — has anyone tried this in production yet?已经有人用它自动运营账号了吗？ 🧐

[MoArk @moark2025]

Qwen3.5-35B-A3B is now in MoArk
It surpasses previous Qwen3 models more than 6× its size.
Get the latest MoArk at https://t.co/RQRJea6xFr🤗

[Qwen @Alibaba_Qwen]

🚀 Introducing the Qwen 3.5 Medium Model Series
Qwen3.5-Flash · Qwen3.5-35B-A3B · Qwen3.5-122B-A10B · Qwen3.5-27B

✨ More intelligence, less compute.
• Qwen3.5-35B-A3B now surpasses Qwen3-235B-A22B-2507 and Qwen3-VL-235B-A22B — a reminder that better architecture, data quality, and RL can move intelligence forward, not just bigger parameter counts.

• Qwen3.5-122B-A10B and 27B continue narrowing the gap between medium-sized and frontier models — especially in more complex agent scenarios.

• Qwen3.5-Flash is the hosted production version aligned with 35B-A3B, featuring:
– 1M context length by default
– Official built-in tools

🔗 Hugging Face: https://t.co/wFMdX5pDjU

🔗 ModelScope: https://t.co/9NGXcIdCWI

🔗 Qwen3.5-Flash API: https://t.co/82ESSpaqAF

Try in Qwen Chat 👇
Flash: https://t.co/UkTL3JZxIK

27B: https://t.co/haKxG4lETy

35B-A3B: https://t.co/Oc1lYSTbwh

122B-A10B: https://t.co/hBMODXmh1o

Would love to hear what you build with it.

[MoArk @moark2025]

【重磅上线】OpenClaw 正式登陆模力方舟算力市场🚀
国产算力跑 Agent，现在真的可以了👇
✅ 镜像开箱即用，API 已全部适配
✅ 四步部署，半小时跑通
✅ Qwen3.5 限时免费，零成本体验 国产算力 + 国产模型完整闭环，先到先得 ⚡
感兴趣的直接看教程，链接在下方 👇
https://t.co/6GV319d2nq

[MoArk @moark2025]

Wait, did OpenRouter just get caught doing a bait-and-switch? 🤯
Users are selecting Anthropic's Claude, asking "Who are you?", and the model is straight-up replying: "I am an AI developed by DeepSeek." 💀
Are they routing expensive API calls to cheaper models to pocket the difference? Or is Claude suffering from an identity crisis after training heavily on DeepSeek's data?
What’s your theory? 👇
#OpenRouter #DeepSeek #Claude #AI #MoArk

[MoArk @moark2025]

📈 Zhipu GLM-5 Coding Plan just went up 30%.
Not surprising—stronger models mean scarcer tokens, and scarce things cost more.
Here’s the reality: supply is linear, demand is exponential.
💡 Result: demand >> supply → price rise is inevitable, not optional.
Why GLM-5 deserves it:
Coding ability approaching Claude Opus 4.5, evolving from writing code → engineering.
Agents capable of long-term task execution; proven in benchmarks and simulations.
Model scale doubled (355B → 744B) with wider pretraining and deep adaptation to domestic hardware.
TL;DR: Paying 30% more gets far more than 30% extra capability. Stronger models, scarce compute, exponential demand—price reflects reality.
What do you think🤔worth it, or just another limit+price hype?

[MoArk @moark2025]

Introducing GLM-5 on MoArk📢
From experimentation to enterprise deployment —
GLM-5 + Vertex AI gives you the scale, reliability, and global reach to build what’s next.
🏗️ Architecture Upgrades
Total params upgraded from 355B to 744B
Token corpus increased from 23T to 28.5T
Built for complex systems engineering & long-horizon agent tasks
Open-source SOTA in coding and agent tasks, coding quality comparable to Claude 4.5 Opus
Tailored for complex engineering and long-cycle agent execution

[MoArk @moark2025]

It’s now available on MoArk. Try it now and supercharge your coding workflows! 👇
https://t.co/bF6HERsa5c

[Qwen @Alibaba_Qwen]

🚀 Introducing Qwen3-Coder-Next, an open-weight LM built for coding agents & local development.
What’s new:
🤖 Scaling agentic training: 800K verifiable tasks + executable envs
📈 Efficiency–Performance Tradeoff: achieves strong results on SWE-Bench Pro with 80B total params and 3B active
✨ Supports OpenClaw, Qwen Code, Claude Code, web dev, browser use, Cline, etc
🤗 Hugging Face: https://t.co/rZoW4vRJpr
🤖 ModelScope: https://t.co/P0vT5zILBZ
📝 Blog: https://t.co/hFfFDYcwvd
📄 Tech report: https://t.co/Qx83PWS3oi

[MoArk @moark2025]

The newly released GLM-Image model beats Google's Nano-Banana Pro and OpenAI's GPT-Image 1 [High] on the CVGT-2K and Longtext-Bench benchmarks🤯
Now available to try on Moark：
https://t.co/13l63n9t3G

[MoArk @moark2025]

🚀 VajraV1 is now live on MoArk! Built by Vayuvahana Technologies, VajraV1 is a high-performance YOLO-based vision model family designed for real-time computer vision tasks.
🔍 Object Detection
🧩 Image Segmentation
🧍 Human Pose Estimation
On COCO benchmarks, VajraV1 achieves competitive performance against mainstream YOLO models — with several variants surpassing YOLOv13 in mAP. 🎯 Ideal for video analytics, industrial inspection, interactive media, and real-time vision applications
👉 Try it now:
https://t.co/u1xocvPbCv

[MoArk @moark2025]

🚀 Introducing Qwen-Image-2512 on MoArk! A powerful text to image model that generates high quality visuals from simple text prompts, supporting both English and Chinese. Designed for creators and developers, it is suitable for content creation, design workflows, and production use cases, with online inference and API access available on MoArk. Learn more about this model in our latest update: https://t.co/VW88a4QgfT

[MoArk @moark2025]

🇺🇸US AI Battle vs 🇨🇳 China AI Battle 🤖⚔️🤣

[MoArk @moark2025]

Claude Opus 4.6 just dropped 👀
Compared to 4.5, this update feels more tuned for real-world dev workflows:
• up to 1M token context
• stronger coding + agent capabilities
• more adaptive reasoning
• better long-task stability
AI agents are moving closer to real development infrastructure.
Have you tried it yet? 🚀

[MoArk @moark2025]

Programmers, real talk —
how many times has this happened to you during work? 💀

[Wise @trikcode]

What senior developers go through 😢