Elite Licker 🐶

Most people lose money in Web3 chasing hype. I’m the Professional Web3 Licker Dog 🐶 @SamMusical6990 I test AI tools + Crypto Alpha daily with Grok and give you short, fast, no-BS versions. Premium creator. Tired of rugs? Follow for real value! 🐶

Yo bros and AI gods out there, hook a dude up real quick — how the hell do I grab GPT Pro on the cheap? My codex creations are getting absolutely wrecked every damn day by these weak Plus limits. Money’s straight-up cockblocking my whole creative flow 😭💰 Who’s got the secret sauce? Help a broke creator out, man! @OpenAI @sama @ChatGPTapp @OpenAIDevs

@pengchujin 狗日的，我以为pro也是半价，一天切n次plus，够烦了

Codex 额度用完了，是去闲鱼、号池买一个，还是再开个土耳其的 Plus 订阅。

@Scott__D @pengchujin 同感，pro又太贵了

@pengchujin Plus 额度太少了，完全不够用

@niubi331 @pengchujin 妈的，我也要pro才够啊，狗日的我以为pro也和plus一样半价，没想到也是100u

@pengchujin 我开了个100美元的pro，这周真是站起来蹬，周末两天我都开着远程让他跑，勉勉强强算是能花完额度了

@love_doge123 这群干嘛的

✅建了一个TG群，还没来得及收拾~~ t.me/+fZQP0wMVeMMzY… VX给我实在是封无语了。会发我蒸馏出来的信息，小朋友们一定要努力哈~~

@servasyy_ai 强，比牛的逼还牛逼

兄弟们！答应你们晚上开源，它来了 image to 3D模型目前只对接了线上：tripo3d.ai 你们也可以改其他家，或者本地模型 记得点赞关注，用的好GitHub也给一颗小星星👇 github.com/huangserva/3DC…

🌟 Third-Party Spotlight: @servasyy_ai Delivers on 3DCellForge – Open-Sourced Magic for Interactive Biology! Quoting the original announcement from @servasyy_ai: “Brothers! As promised, here it comes – open-sourced tonight! The image-to-3D model currently integrates only the online service: tripo3d.ai
(You can easily swap it for other providers or even local models.) Remember to like and follow – and if you find it useful, drop a star on GitHub 👇
github.com/huangserva/3DC…” My honest take as a fellow AI & dev enthusiast: This is exactly the kind of project that makes me excited about the future of open-source AI tools. 🔥 Why 3DCellForge stands out: •Blazing-fast AI workflow: Turn any 2D image into a detailed 3D biological structure in seconds via Tripo3D.ai, then instantly explore it in a polished React + Three.js web app. No heavy downloads, no clunky software – just smooth browser-based WebGL magic. •Truly interactive & practical: Orbit, zoom, click organ panels for details, snap screenshots, and export clean GLB files. It feels like a mini science museum in your browser. 🧬 •Built with AI, shared with love: The creator used Codex to handle UI design and full code implementation – proof that AI isn’t just hype, it’s accelerating real creativity. And then they open-sourced the whole thing? Legend move. 🙌 •Endless potential: Perfect for biology teachers, medical students, researchers, or anyone who wants quick 3D cell/organ references without hiring a 3D artist. Swap the image-to-3D backend and you’ve got a customizable powerhouse. Bottom line: 3DCellForge isn’t just another demo – it’s a ready-to-use, community-ready tool that lowers the barrier for 3D biology exploration. If you’re into edtech, scientific visualization, or AI-powered creativity, go star the repo right now. ⭐ Huge respect to @servasyy_ai for delivering exactly what they promised. Who else is forking this tonight? 🚀 What’s your first experiment going to be? Drop it below! 👇

This post is from @NFTCPS, a leading Chinese Web3 influencer and founder of the Blue Bird Club. He’s hyping Ruflo — the AI tool currently #1 on GitHub’s trending list with ~47,000 stars. What is Ruflo?
A multi-agent AI orchestration platform that supports:
• RAG memory
• Distributed workflows
• Direct Claude Code integration It can deploy dozens of agents at once to handle coding, testing, security audits, and full DevOps deployments. The post delivers a sharp contrast:
“You still manually laying bricks?” vs. an army of AI agents — clearly showing how AI is supercharging developer productivity. It also nods to another tool for detecting network blocks, perfectly capturing the author’s focus on practical, real-world tech solutions. github.com/ruvnet/ruflo

🚨 Codex getting dumber and slower the longer you use it? It’s not your imagination — it’s literally bloating its own context window! Here are the 4 tricks I personally use. Each round saves ~40% context and the difference is massive. 1️⃣ Trick 1: Set Process_narration=false Codex defaults to dumping every single planning step as output tokens. You’re not going to read them line-by-line anyway — just turn it off. 2️⃣ Trick 2: Make Codex the orchestrator, not the grunt Copy this exact prompt: “Act as an orchestrator. Use parallel agents to do the research and execution work. Write detailed tasks for each parallel agent and force them to act, iterate, get their tasks done, and bring back an in-depth report. Your job is to deeply analyze the agents’ work, provide feedback, and give them continuous tasks.” The magic: all the heavy context-burning work gets offloaded to agents. Each agent has its own independent context window. Spin up 5 agents = 5 fresh contexts running in parallel. Your main window stays clean and only does coordination. 3️⃣ Trick 3: Think first, act later Debugging is messy. Without strict planning, Codex just trial-and-errors and pollutes the context. Skip plan mode (it’s too heavy). Simply force it to create a task list for every task before executing — progress stays trackable and iteration becomes easy. 4️⃣ Trick 4: No garbage allowed in the codebase Add this hard rule: “Keep the codebase clean, no tmp files, no dead code, no dead files. Stay organized all the time. No unnecessary folders, subfolders, or files.” Claude hides mess in cache, but Codex is super output-heavy. After a few sessions your workspace turns into chaos. Messy directory = polluted context = performance collapse. Force it to respect the existing file structure. 🎯 Bonus Pro Tip Planning phase → Codex 5.5 (extra high) Once plan is locked → switch to Codex 5.5 (high) + fast mode for execution. Planning needs brainpower, execution needs speed. Split them and it flows perfectly. Try these — Codex instantly feels smarter and faster 🔥 Anyone else tired of sluggish Codex? Repost to save a fellow dev!

Good signal on OpenAI / Anthropic AI update. My takeaway: Topic: AI/Web3 signal. Key signal: early details need verification. Verify official sources before posting. I would watch repeat usage, pricing, and workflow friction before treating this as confirmed. Via @BTCqzy1 x.com/BTCqzy1/status…

@cursor_ai Hot take: most AI tool launches are still demo theater. The only version that matters is the one people use after the launch hype is gone.

We’re introducing Cursor 3. It is simpler, more powerful, and built for a world where all code is written by agents, while keeping the depth of a development environment.

@steipete @OpenAI @openclaw The real test is repeat usage. If this saves time every week, it matters. If it only demos well once, it is noise.

I'm joining @OpenAI to bring agents to everyone. @OpenClaw is becoming a foundation: open, independent, and just getting started.🦞 steipete.me/posts/2026/ope…

@OpenAI Hot take: most AI tool launches are still demo theater. The only version that matters is the one people use after the launch hype is gone.

GPT-5.5 Instant is starting to roll out in ChatGPT. It’s a big upgrade, giving you smarter, clearer, and more personalized answers in a warmer, more natural tone. And it's also more concise, which we heard you wanted. We think you'll love chatting with it.

@steipete @OpenAI @openclaw Hot take: most AI tool launches are still demo theater. The only version that matters is the one people use after the launch hype is gone.

go go go

@zstmfhy 瓜子已备好

预告一下，我今天晚上要发一件非常奇葩的事，等我在观猹那边分享完了以后，我就发推，大家坐好小板凳，给你们吃瓜

Master Claude in one day: → Level 1 - 24 minutes: The basics. “Claude For Dummies”: t.co/HNa5MrCLVU “Claude Setup”: t.co/jw2qdIcjnh → Level 2 - 1 hour: Practical workflows. “Claude Collaboration”: t.co/uWTpOI3Woc “Claude Team Plan”: t.co/qxlcqhf8bM “Claude Design”: t.co/ZY8Fg5D2ea “Collaboration + Projects”: t.co/Q7AN9CZAbO “Claude Slides”: t.co/L0bPMgXci6 “Claude Skills”: t.co/6cHYYfjXEA → Level 3 - 3.5 hours: Pro techniques. “Avoid Sycophancy”: t.co/5i8xSJBGUl “Claude Code”: t.co/UgE9xBXVbE “Claude 101”: t.co/OvBmlvnVqL “Break Claude’s Limits”: t.co/j5fEzSH5br “Stop Blind Prompting”: t.co/j1LATSJiat → Level 4 - 8 hours: Expert mode. “Claude Computer”: t.co/TxYuHPjgbV “Build with the Claude API”: t.co/RcCbfNjlzz Pro tip: Don’t binge it all at once. Learn one level at a time.

Claude Code now connects to financial data in 60 seconds ⚡ Supports: 📈 17,000+ stocks ₿ Crypto data 📊 Financial statements 🎯 Polymarket odds & event analysis Setup: claude mcp add --transport http financial-datasets mcp.financialdatasets.ai Then run: /mcp Complete OAuth in your browser. Check status: claude mcp list Start asking: “Analyze BTC volatility over the past year.” “Show Tesla’s last 4 quarterly income statements.” “Use Polymarket odds to analyze an event’s market impact.” Perfect for AI-powered financial research 🚀

🚀 AI-Powered Quant Trading Just Got Insanely Simple: Introducing QuantDinger Crypto trader @BTCqzy1 just lit up X with a game-changing thread about QuantDinger — the ultimate AI quant tool that turns your wildest trading ideas into real, profitable strategies in seconds. Here’s the magic: Just describe your strategy in plain English — no coding, no PhD required. The AI instantly generates clean Python code, runs full backtests, creates stunning visualizations, and even executes live automated trades across crypto, stocks, and forex markets. What makes it next-level? - Multi-agent AI collaboration for smarter strategy design - Runs 100% locally via Docker → total privacy, zero data leaks - Built-in analysis of prediction markets like Polymarket - Spots probability divergences and hands you high-edge trade suggestions Posted on April 29, 2026, the thread has already exploded past 80K views with rave reviews from crypto and AI traders. Everyone’s saying the same thing: “This finally lowers the quant barrier to almost zero.” The creator keeps it real — strong DYOR reminder + full open-source GitHub link included for complete transparency. Ready to trade smarter, not harder? This might just be the tool you’ve been waiting for. 🔗 Check the original thread: x.com/BTCqzy1/status… github.com/HKUDS/Vibe-Tra…