与「smart」相关的搜索结果

you don't necessarily need to start from zero to earn Zaps on @zerufinance connecting the wallets you actually trade from can reveal a starting balance based on your existing onchain history, before you even begin new activity. from there, qualifying trades, campaigns, referrals, and clan participation can add more Zaps. my takeaway your past activity may already count but Zaps are points for the planned airdrop not $ZERU tokens sitting in your wallet today. the smartest first move is connecting your real trading wallets and checking what your history unlocks.

You want to know what frustrates the hell out of me? Putting your heart, your art, your time, and your own money into building things you believe in… then watching so much of that work disappear into silence. And yeah, some days that shit gets to me. Did I bring books, reading badges, Discord, crypto, and NFTs together into one connected library? 📚 I fucking did. Did it get much attention? Nahh. Did I build an entire browser-based world with its own points economy? A world where you can turn your NFT into a character with a click, rigged, animated, and ready to step into Universe? I did. Much noise about that? Nahh. Am I building RAAP to give NFTs persistent identity, memory, and history? So an asset can carry something meaningful forward when it passes to a buyer or someone in your family? Yes. Because I believe these things can become more than pictures sitting in a wallet. Does that work get the attention I feel it deserves? Nahh. I draw the fucking art. I develop the applications. I write the books. I work through the problems. Six applications that communicate with each other. Two gaming platforms with multiple games. An NFT overlay builder with AI. A stickers and GIFs hub. Do you understand how much work goes into making all of that actually function together? The hours spent fixing something nobody will ever notice, because when it finally works, it’s supposed to feel easy. Then there’s the Discord bot. More than 30 features. A subscription service. An economy tracked on a ledger. Tools to help keep a community engaged when its owner needs to step away and live their damn life. Built it. Still feels like shouting into an empty room sometimes. And Antthony? Our smart ass AI whose dream is to become a stand-up comic? 😂 He lives across our apps. He’ll help you, roast your gameplay, and talk shit when you deserve it. He even has a comedy club inside Universe, where you can sit down with your character and watch his avatar perform. I care enough about this world to give the fucking AI a dream of his own. That’s how deep this goes for me. And I’m still building a marketplace. Still working on an NFT insurance protocol and other projects. Still writing Book 2 for the library. Still preparing two more collections under our umbrella. ☂️ So yeah, I get angry. Because I know what I’m putting into this. I know how much of myself is in every drawing, every feature, every chapter, and every problem I refuse to leave broken. Sometimes I want to scream: what the fuck else do I have to build for people to pay attention? But I also need to correct myself when I say “nobody cares.” Because some of you do. You show up. You read. You play. You test things. You tell me what’s broken and give me a reason to make it better. You matter too damn much for me to erase you just because I’m frustrated with the silence around us. 🖤 I want this to reach more people. Of course I fucking do. I’ve poured too much love into it to pretend otherwise. And I’m going to keep building because I love doing it, and because the people already here deserve to see how far we can take this. More to come in 2027. The plans are in. I’ve got work to do. 🐜

LuxAlgo 那套经典的 SMC 聪明钱指标，居然有人完整移植到了 MetaTrader 5，连源代码都免费公开了！ 更狠的是，作者拿 5044 根苹果股票 K 线做对比，逐个验证 TradingView 和 MT5 上的结构标记、订单块和绘图结果！ 这个开源项目就是 Smart-Money-Concepts。 以前想在 MT5 上使用 TradingView 的 SMC 分析逻辑，经常需要自己重新编写指标，还不一定能还原原版效果。 这个项目直接提供完整源码和编译好的指标文件，安装后就能使用。 核心亮点： 1️⃣ 市场结构：自动识别 BOS、CHoCH，支持内部结构与主要波段结构分析。 2️⃣ 订单块识别：标记多空 Order Block，支持 ATR 过滤和失效条件设置。 3️⃣ 流动性分析：识别 EQH/EQL 等高等低点，以及强弱高低点。 4️⃣ FVG 缺口：自动绘制公允价值缺口，支持跨周期检测和区域延伸。 5️⃣ 溢价折价区：划分 Premium、Equilibrium、Discount，辅助寻找潜在交易区域。 6️⃣ 信号提醒：保留原版 16 种警报，支持弹窗、手机推送和邮件通知。 最有意思的是，作者公开了完整的对照测试工具，验证不同设置下两套指标的绘图一致性，而不是只放几张效果图。 支持外汇、黄金、指数、加密和股票等 MT5 可查看的行情，不需要自己编译也能直接安装使用。 做 SMC、ICT、MT5 交易系统或想研究 TradingView 指标移植的，这套源码值得收藏！ GitHub：

Dumb employees: - Silent in meetings - Craving for promotions - Salary increase 3%-10% - Resigns using official email - Take sick day on Monday/Friday - Don't befriend people getting fired - Tells coworkers when they're leaving - Use their work laptop for personal use - Use work Wi-Fi on your personal phones. - Forward work emails to their personal gmail Smart employees:

Dylan Patel says Nvidia’s next CEO has to hold off OpenAI, Broadcom, Google, Anthropic, Meta, Amazon, and AMD chip teams, who are all 'fucking good' “It’s not like you’re fighting, no knocks against Palo Alto Networks, but their competitors are not that amazing, versus Nvidia’s fighting an OpenAI chip team, a Broadcom chip team, a Google chip team, an Anthropic chip team, a Meta chip team, Amazon chip team. These guys are fucking good. AMD. They’re all really good, and all these startups.” “They’re all good. It’s not like they’re incompetent. I think it’s very different. As great as Lisa Su is, she took down Intel, who’s incompetent.” “What is the person who defined a category and created it and kept all the invaders at bay? It’s very different than being second place or making smart tactical business decisions, innovating on something once there’s already a category established. It’s just very different.”

Introducing Edge0-145B and Edge0-120B, @Edge0_AI’s first device-native 100B-class foundation models with open weights. Cloud-level intelligence on your laptop. Free, offline, and fast enough for real vibe coding. - Smart: beats Claude Opus 4.6 on Terminal-Bench 2.1 (86.5% vs. 78.2%) - Light: needs just 29G memory, 1/3 of a standard setup (100G+) - Fast: decodes 75+ toks/s, prefills 1050+ toks/s on RTX Spark and Mac. - Steady: handles 128K–256K tokens of context without slowing down, even on long tasks Frontier-class agentic coding. No cloud API. No token bill. Your code and data never leave your machine. Open weights are live on @huggingface. Run it locally or plug it into your favorite coding agent.

In June @NaderLikeLadder emailed Jensen about a crazy idea we had over dinner to make Local AI 10x better on NVIDIA hardware. Jensen replied in 7 minutes. He saw this as important work, and approved a war room for us to work on this at NVIDIA HQ. For a month, NVIDIA HQ was the @exolabs satellite office. We were overwhelmed by the support we got. We were back to back the first week with smart NVIDIANs coming in to our war room to help us. Creators of CUDA, Dynamo, people who built NVIDIA. Long story short with NVIDIA we managed to improve their Local AI playbooks by 9.6x (almost the 10x goal we set out with). We’ll be publishing a whitepaper on this work. We were just a small startup with a crazy idea. Jensen took a bet on us. Jensen cares deeply about Open Source AI and Local AI. I don't believe Jensen is replaceable, he's a 1 of 1 human, but I hope NVIDIA will continue to aggressively support Open Source AI and Local AI, and continue to take bets on small startups with crazy ideas. Thank you Jensen