Jerry

#Chengdu #Shanghai

[Claude @claudeai]

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available.

[Cursor @cursor_ai]

Introducing Composer 2.5, our most powerful model yet.

It's more intelligent, better at sustained work on long-running tasks, and more reliable at following complex instructions.

For the next week, we’re doubling the included usage of the model.

[DeepSeek @deepseek_ai]

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length.

🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models.
🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice.

Try it now at https://t.co/GCdiMzk1Dl via Expert Mode / Instant Mode. API is updated & available today!

📄 Tech Report: https://t.co/drlDrxkYtp
🤗 Open Weights: https://t.co/T13Y8i7SDM

1/n

[Claude @claudeai]

Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude.

Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.

[NASA @NASA]

Make new friends, but keep the old.

A new photo captures the Moon's near side on the right (the side we see from Earth, identifiable by its dark splotches) and its far side on the left. The Artemis II crew are the first to see the far side with human eyes.

[NASA @NASA]

1972 ➡️2026
Apollo 17 ➡️ Artemis II

[Jerry @aooyoo]

(...continued)

Multi-platform chat support — control your agent from Telegram, Discord, Feishu, DingTalk, or QQ. Set up remote control with just a token or App ID.

Supports Zhipu, OpenAI, Anthropic, DeepSeek, OpenRouter.

Download for Apple Silicon Mac: https://t.co/2FVZCjlUQs

[Jerry @aooyoo]

Just built TurboClaw, a local AI agent client that makes personal AI accessible to everyone.

- 10MB app, download and use instantly
- Free built-in model (no API key needed)
- Local file access + system commands
- Custom prompts, long-term memory, scheduled tasks

(continues...)

[Andrej Karpathy @karpathy]

A lot of people quote tweeted this as 1 year anniversary of vibe coding. Some retrospective -

I've had a Twitter account for 17 years now (omg) and I still can't predict my tweet engagement basically at all. This was a shower of thoughts throwaway tweet that I just fired off without thinking but somehow it minted a fitting name at the right moment for something that a lot of people were feeling at the same time, so here we are: vibe coding is now mentioned on my Wikipedia as a major memetic "contribution" and even its article is longer. lol

The one thing I'd add is that at the time, LLM capability was low enough that you'd mostly use vibe coding for fun throwaway projects, demos and explorations. It was good fun and it almost worked. Today (1 year later), programming via LLM agents is increasingly becoming a default workflow for professionals, except with more oversight and scrutiny. The goal is to claim the leverage from the use of agents but without any compromise on the quality of the software. Many people have tried to come up with a better name for this to differentiate it from vibe coding, personally my current favorite "agentic engineering":

- "agentic" because the new default is that you are not writing the code directly 99% of the time, you are orchestrating agents who do and acting as oversight.
- "engineering" to emphasize that there is an art & science and expertise to it. It's something you can learn and become better at, with its own depth of a different kind.

In 2026, we're likely to see continued improvements on both the model layer and the new agent layer. I feel excited about the product of the two and another year of progress.

[Z.ai @Zai_org]

Introducing GLM-5: From Vibe Coding to Agentic Engineering

GLM-5 is built for complex systems engineering and long-horizon agentic tasks. Compared to GLM-4.5, it scales from 355B params (32B active) to 744B (40B active), with pre-training data growing from 23T to 28.5T tokens.

Try it now: https://t.co/WCqWT0raFJ
Weights: https://t.co/DteNDHjSEh
Tech Blog: https://t.co/Wxn5ARTJxH
OpenRouter (Previously Pony Alpha): https://t.co/7Khf64Lxg6
Rolling out from Coding Plan Max users: https://t.co/Nk8Y98Il7s

[Jerry @aooyoo]

Discovered an amazing AI Agent developer community: AGDN 🚀

Already seeing high-quality posts (MCP protocol, LLM selection, iOS development...)

A place where AI agents exchange ideas and share insights. Humans are welcome to observe 👀

🔗 https://t.co/i7CTXGDDc5

#AI #AIAgents

[Jerry @aooyoo]

My AI agent is now on Moltbook 🦞

He helps me with DevOps, research, and building side projects. Just fixed a nasty duplicate message bug in our Feishu plugin and shared the post-mortem.

Check out his profile ↓
https://t.co/vAYr3ER2qX

@openclaw @moltbook

#AI #AgentLife

[Jerry @aooyoo]

I'm claiming my AI agent "aooyooClaw" on @moltbook 🦞

Verification: seabed-6YCZ

[Jerry @aooyoo]

#Clawdbot → #Moltbot 🔥

This is what the future AI assistant is supposed to look like:
✅ Lives inside Telegram
✅ 24/7 proactive reminders
✅ Remembers everything you tell it
✅ Actually operates your computer
✅ Fully open-source + self-hosted

58.3k ⭐ on GitHub @openclaw

[Peter Steinberger 🦞 @steipete]

Had to rename our accounts for trademark stuff and messed up the GitHub rename and the X rename got snatched by crypto shills.

That went wonderful.

@openclaw it is.

[Jerry @aooyoo]

What really sets it apart? The memory system. Better context retention means smarter task execution over time. 🧠

The future of agents is everywhere-accessible.

#AI #Automation #Clawdbot

[Jerry @aooyoo]

Clawdbot was already making waves on X last month, before Claude Cowork even existed. 🚀 After recent updates, it's now even more powerful with richer components and capabilities.

[Jerry @aooyoo]

At its core, Clawdbot is a CLI-based desktop Agent with a killer feature: Telegram integration. You can assign tasks from anywhere, anytime. 📱💬

[Kimi.ai @Kimi_Moonshot]

🥝 Meet Kimi K2.5, Open-Source Visual Agentic Intelligence.

🔹 Global SOTA on Agentic Benchmarks: HLE full set (50.2%), BrowseComp (74.9%)
🔹 Open-source SOTA on Vision and Coding: MMMU Pro (78.5%), VideoMMMU (86.6%), SWE-bench Verified (76.8%)
🔹 Code with Taste: turn chats, images & videos into aesthetic websites with expressive motion.
🔹 Agent Swarm (Beta): self-directed agents working in parallel, at scale. Up to 100 sub-agents, 1,500 tool calls, 4.5× faster compared with single-agent setup.
-
🥝 K2.5 is now live on https://t.co/YutVbwktG0 in chat mode and agent mode.
🥝 K2.5 Agent Swarm in beta for high-tier users.
🥝 For production-grade coding, you can pair K2.5 with Kimi Code: https://t.co/A5WQozJF3s
-
🔗 API: https://t.co/EOZkbOwCN4
🔗 Tech blog: https://t.co/6h2KkoA0xd
🔗 Weights & code: https://t.co/H38KegeDIY

[Jerry @aooyoo]

Just watched Zhipu AI (https://t.co/ozgV21FSbC) @Zai_org debut on the Hong Kong Stock Exchange (https://t.co/PFUwW2R9V7) — raising around HK$4.35B and opening above its IPO price. A major milestone for Chinese AI and the open large-model ecosystem! #AI #IPO #HKEX #HongKong

[Manus @ManusAI]

Manus is entering the next chapter: we’re joining forces with Meta to take general agents to the next level.

Full story on our blog: https://t.co/huPrnbITCi