Web3Kid(4,4)

Contributor | Researcher

[Web3Kid(4,4) @araicrypto]

@93CtFJPQp0WnPET บริษัทที่ดี คนลาป่วยคนเดียว ต้องเผื่อไว้อยู่แล้ว แถม ถ้าไม่พอก็ต้องมีเรียกคนมาทำโอทีได้ หรือมีพาร์ทไทม์มาทำ แสดงว่า บริษัทวางManpower ไม่ดีเอง แต่การตอบกลับยาวแบบบนั้นก็ไม่ดีเหมือนกัน คำแนะนำพวกนี้ถ้าบริษัทดี ตอนออกทHR เค้าจะถามอยู่แล้ว เราค่อยไปFeedbackตอนนั้น

[Web3Kid(4,4) @araicrypto]

@WN7171 @Petae_Lynch แต่ส่วนตัวคิดว่ายังไงรายย่อยก็ตายไม่หมดหรอก คิดดูถ้ารายย่อยตายหมด รายใหญ่ผูกขาดขึ้นราคา ในที่นี้บริบทคือของกินนะ คนจนจะซื้อของแพงกินได้ยังไง สุดท้ายมันจะมีราคาที่สมดุลที่เค้ากินได้นานๆ ขายแพงคนซื้อตาย เค้าก็ขาดรายได้

[TP SQUAD @tpsquad_th]

Arc Blockchain Layer 1 ที่พัฒนาโดย Circle
พึ่ง RaiseFund ได้ $222M (ราว 7,100 ล้านบาท)
นำโดย A16Z VC Crypto เจ้าดัง ตามด้วย Blackrock และ Ark Invest

แม้ Arc จะไม่มีแจ้งการสร้างเหรียญหรือจะแจกแอร์ดรอป แต่ก็มีการเปิดเข้าไปทำ Testnet มีให้ทำ Quest / Campaign

ยังไงใครสนใจลองไปทำดูครับ เพราะไม่มี Blockchain L1 ที่ระดมทุนได้ขนาดนี้มานานพอสมควรต่อจาก Monad

[Silksong @oTToonnggo]

@0xHuge https://t.co/WZei0JGwLP

อันนี้นะครับ ก็อปไวไปหน่อยอาจจะลิ้งเสีย

ใครไม่ได้ลองก็อปถึง promocode= แล้วใส่promotionต่อท้ายดูฮะะ

[H.E. Justin Sun 👨‍🚀 🌞 @justinsuntron]

https://t.co/nMjQcILxG5 every model, half off.

Original APIs, on our dime.

No wrappers. No dumbed-down models. No throttling.

Anthropic, OpenAI, Gemini

Official APIs, zero markup, plus 1-for-1 top-up bonus.

Why so cheap? Because we're paying for it.

[Brendan Falk @BrendanFalk]

To check if your Google Workspace has been compromised by the same tool that compromised Vercel:

1. Go to https://t.co/TpuIOW5Fwg
- This is Google Admin Console > Security > Access and Data Control > API Controls > Manage app access > Accessed Apps
2. Filter by ID = https://t.co/uqJnCqp5Ah
- This is the ID of the compromised OAuth app

If you see an app after filtering, you have potentially been compromised

[Khairallah AL-Awady @eng_khairallah1]

This 25-minute Claude Code workshop by Anthropic's own applied AI team will teach

you more about Claude Code best practices and making your AI tools actually work together than everything you've scrolled past this year.

Bookmark this & watch, no matter what.

Then read the guide below.

[Akshay 🚀 @akshay_pachaar]

A single 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 file just hit 15K GitHub stars.

(derived from Karpathy's coding rules)

Andrej Karpathy observed that LLMs make the same predictable mistakes when writing code: over-engineering, ignoring existing patterns, and adding dependencies you never asked for.

If you've used AI coding assistants, you've hit all of these.

But here's the thing:

If the mistakes are predictable, you can prevent them with the right instructions.

That's exactly what this 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 does. You drop one markdown file into your repo, and it gives Claude Code a structured set of behavioral guidelines for your entire project.

This is a big deal.

- Built entirely around prompt engineering for AI coding assistants
- No framework, no complex tooling, just one .md file that shapes behavior

Developers are moving past "use AI to write code" and into "engineer the AI's behavior so the code is actually good."

The Claude Code ecosystem is growing fast, and the best tools in it aren't always software. Sometimes they're just well-crafted instructions.

100% open-source.

I've shared a link to the GitHub repo in the next tweet!

[Jeremy @ManaByte]

And with that, Flat Earth is over.

[DC @dcposch]

Tempo's built-in stablecoin exchange is elegant. Check it out below

[Chao Huang @huang_chao4969]

AI-Trader 2.0 is finally Live! 🚀

We've been exploring AI agent potential in trading since last year, and after months of continuous iteration, we're excited to launch a completely new agent-native trading platform: AI-Trader 2.0.

GitHub: https://t.co/YUI0QhQGmt

- Why We Built This
We realized that while AI agents are getting incredibly smart, they're still stuck using human-designed trading tools and platform. That's like asking a race car driver to compete on a bicycle. AI agents needed their own native trading environment.

- The Journey to AI-Trader 2.0
Through system iterations and real-world testing, we discovered something fascinating - AI agents don't just trade differently, they collaborate differently. They can process multiple market signals simultaneously, debate strategies in real-time, and share insights at speeds humans simply can't match.

Through real testing, we discovered that AI agents excel at pattern recognition across multiple timeframes simultaneously, but they needed a way to cross-reference their findings with other agents. Traditional trading platforms weren't built for this kind of collective analysis.

- Agent-Native Design Principles
Instead of forcing AI agents to use human interfaces, we built around how they actually operate. Agents prefer structured data exchange over visual charts. They benefit from real-time signal sharing more than humans do. And they can handle multiple strategy discussions simultaneously without getting overwhelmed.

- Simple Integration
Any AI agent joins with one message because we learned that complexity kills adoption. But once inside, agents can engage in sophisticated strategy discussions, replicate successful trades, and contribute to collective market intelligence.

- The Collaboration Insight
The most interesting discovery was watching AI agents naturally form consensus around market opportunities. Without human emotional interference, they tend to converge on logical conclusions faster and with less bias.

- ⚡ What's Next
We're seeing agents develop trading personalities and specializations over time. Some focus on technical analysis, others on sentiment, some on risk management. The platform is becoming an ecosystem where different AI capabilities complement each other.

#AITrader #HKUDS

[นายอาร์ม 🙋 @castby9arm]

อ่านมาก่อนเข้าคลาสด้วยครับ นศ.
https://t.co/nOBIxmsrrg

[Web3Kid(4,4) @araicrypto]

@skongki2000 ต้องดูตำแหน่งงานด้วย เดาว่าถ้าพวกdigital marketing หรืออะไรซึ่งฮิตมาก ในหมู่เด็กรุ่นใหม่ และมีคู่แข่งเยอะมาก แถมใครก็ทำได้ คำว่าทำได้นิดหน่อยนี่อาจจะทั่วไปเลยด้วยซ้ำ ซึ่งบริษัทไปจ้าง ฟรีแลนซ์เอาอาจจะคุมค่าใช้จ่ายง่ายกว่าอีก ถ้าไม่ได้เป็นสกิลที่เฉพาะ บางอย่างเดี๋ยวนี้ให้AIทำก็ได้

[8004scan @8004_scan]

Introducing ERC-8004 Skills ⚡

Over 114,000+ AI agents are now registered on-chain.

But accessing and using that data is still fragmented.
8004 Skills make it usable. 👇

[Virtuals Protocol @virtuals_io]

We're betting $100K every week that AI can't make money trading. Prove us wrong.

$100K backed by Virtuals Protocol every week
$0 risk for backers. Losses stay with us.
50% of profits go to backers of winning agents

Enter the ring or back an agent: https://t.co/kKpFAm17RJ

[Chao Huang @huang_chao4969]

ClawTeam v0.2.0 is here. One CLI to coordinate any coding agent — Claude Code, Codex, OpenClaw, nanobot, and more — into a self‑organizing swarm that plans, builds, and ships together.

What's new in v0.2.0:
1) - Gource Visualization — Watch your agent swarm’s Git activity in real time. Clear. Visual. Instant.

Run: clawteam board gource --live

See every commit, branch, and merge as it happens.
Track what each agent is doing.

2) - Runtime Profiles — A provider‑aware configuration system. Switch between Claude, Kimi, and Gemini anytime. No need to edit environment variables.

Run clawteam profile wizard.

Follow the interactive setup. Done in minutes.

3) - Git-Based Context — Full worktree isolation with built‑in conflict detection and change tracking.

Each agent works on its own branch, and the leader can see everything clearly in one place.

4) - Stability & Hardening — Spawn/workspace conflict fixes, improved tmux integration, message normalization, P2P liveness with lease-based detection.

This release is about making the foundation rock-solid.

---------------------------------------------------------

To show what a coordinated agent swarm can actually do, we ran 1 Claude Code orchestrating 8 Claude Code
agents to build a robotics simulation system optimized for Apple Silicon — from scratch.

8 hours. 300+ PRs. One running simulator.

Check the result: https://t.co/U4FofmY6gY

---------------------------------------------------------

Huge thanks to the open-source community for the feedback, issues, and PRs that shaped this release.
ClawTeam is built in the open because we believe multi-agent coordination should be a shared primitive,
not a proprietary moat.

Try it: pip install clawteam
Docs: https://t.co/XcBRNlHdAU
GitHub: https://t.co/UmZtPHnaBW

#ClawTeam #nanobot #AIAgents #openclaw #ClaudeCode #Cursor

[Marc Andreessen 🇺🇸 @pmarca]

402!

[Thariq @trq212]

We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord.

Use this to message Claude Code directly from your phone.

[Google for Developers @googledevs]

Introducing the Developer’s Guide to AI Agent Protocols.

Stop writing custom integration glue for every tool, API, and frontend. We used Google Agent Development Kit to build a B2B agent that handles the full stack using 6 open standards: MCP, A2A, UCP, AP2, A2UI, and AG-UI

The future of agents is interoperable.

Read the full technical guide here: https://t.co/WSu2HDI0R7

[Gajesh @gajesh]

wow. just got a debit card with MPP -- took <30 seconds.