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AI won't replace people. People using AI will replace people who don't. 真正拉开差距的，非 AI 本身，而是每天都在用 AI 的人。 #AI# #ChatGPT# #AIAutomation# #AITools# #Productivity# #FutureOfWork# #WorkSmart# #Automation# #DigitalSkills# #PersonalGrowth# #BuildInPublic# #OnlineBusiness# #CreatorEconomy# #TechTrends# #Web3# #Cryptocurrency#

AI Practical Use #3#: Let AI help you with Excel data analysis. AI 实用玩法第 3 个： 让 AI 帮你做 Excel 数据分析。 Here is a very common office situation: You have an Excel file with sales data, costs, profit, regions, products, and dates. Normally, you may spend 2 hours writing formulas, checking data, making summaries, and building charts. But with AI, you can finish the first draft in about 10 minutes. 一个很常见的办公场景： 你手里有一份 Excel 数据， 里面有销售额、成本、利润、区域、产品、日期。 以前你可能要花 2 小时： 写公式、查数据、做汇总、看趋势、做图表。 现在可以先交给 AI， 10 分钟生成初步分析结果。 You don’t need to manually type every complex formula. Let AI help you: Build formulas Summarize key findings Find abnormal data Compare trends Suggest chart formats Create a report structure 你不需要自己一个个输入复杂函数。 可以让 AI 帮你： 生成公式 总结关键结论 找出异常数据 对比趋势变化 建议图表形式 生成汇报框架 Here is a simple prompt: 这里有一个简单提示词： Please analyze this Excel data. Help me build the right formulas, summarize the key findings, find possible errors or abnormal values, and suggest the best chart or report format. I will review and verify the final results. 中文版本： 请分析这份 Excel 数据。 帮我生成合适的公式，总结关键结论，找出可能的错误或异常值，并建议最适合的图表或汇报格式。 最终结果由我来审核确认。 The key idea is simple: AI does the heavy first draft. You review the logic and final result. 核心思路很简单： AI 负责先把复杂工作做出来， 你负责审核逻辑和最终结果。 Before: 2 hours manually writing formulas. After: 10 minutes with AI assistance. 以前： 手动写公式、做分析，可能要 2 小时。 现在： 借助 AI，10 分钟先完成初稿。 AI is not here to replace your judgment. It helps you save time on repetitive work, so you can focus on checking, thinking, and making better decisions. AI 不是替代你的判断力。 它是帮你节省重复劳动的时间， 让你把精力放在审核、思考和决策上。 Let AI write the formulas. You review the results. 让 AI 写公式， 你负责审核结果。 That is a smarter way to work. 这才是更聪明的办公方式。 #ChatGPT# #AI# #AITools# #Excel# #ExcelTips# #DataAnalysis# #Productivity# #WorkSmarter# #OfficeWork# #BusinessTools# #Automation# #DigitalTools# #TechTips# #FutureOfWork# #PromptEngineering#

Linux RAM requirements are wild 🤯 • 🟠 Ubuntu - 6 GB • 🎮 SteamOS - 4 GB • 🚀 Pop!_OS - 4 GB • 🔵 Fedora - 2 GB • 🎩 Red Hat Enterprise Linux - 2 GB • 🦎 openSUSE - 2 GB • 🍃 Linux Mint - 2 GB • 🪟 Zorin OS - 2 GB • 🛡️ Kali Linux - 2 GB • 🏔️ Manjaro - 2 GB • 🏔️ Rocky Linux - 2 GB • 🎯 CentOS Stream - 2 GB • 🕊️ Lubuntu - 1 GB • 📦 Debian - 512 MB • 🐧 Arch Linux - 512 MB • 🪶 Puppy Linux - 256 MB • 💿 Tiny Core Linux - 64 MB Linux can run on everything from a potato to a workstation. Which distro are you using right now? 👀

Huge: NVIDIA just put a gaming PC, an AI workstation, and a GPU server into a laptop thin enough to disappear in your bag 😳 For 30 years, the PC has been the same thing: Intel or AMD inside, GPU on the side, and hope it doesn't crash. At Computex, Jensen Huang showed off RTX Spark: an ARM-based AI PC chip built around a Blackwell RTX GPU, a 20-core Grace CPU, and 128GB of unified memory. And it fits inside a 14mm laptop 🤯 On stage, it ran Forza Horizon 6 and 007 First Light at 100 FPS in 1440p. On battery. On Windows. Without throttling. The crazy part? It can run 120 billion parameter AI models on-device. No cloud. No API. No subscription. That means your AI agent no longer has to live in someone else’s data center. It can live on your machine. Always available. Private by default. Yours alone. This is the shift NVIDIA is really betting on: the laptop stops being a thin client for cloud AI and becomes a personal AI workstation. For developers, founders, analysts, designers, and finance teams, that could change the entire workflow. The PC used to be a screen with a keyboard. Now it is becoming the place where your AI actually lives.

NEW: Microsoft just unveiled its most powerful Surface ever. Surface Laptop Ultra is a 15-inch NVIDIA-powered laptop built to run local AI models, creative work, and gaming. • NVIDIA RTX Spark chip with up to 20 Arm CPU cores • Blackwell GPU with 6,144 CUDA cores • Up to 128GB unified memory • Runs up to 120B parameter AI models locally • 15-inch mini-LED display with 2,000 nits peak brightness • Dual-fan cooling with 2.5x the thermal capacity of Surface Laptop 7 This could be a serious AI workstation.

Chinese memory makers are accelerating DDR5 development and closing the performance gap with global leaders Samsung, SK Hynix, and Micron. Leading firm CXMT has demonstrated DRAM speeds of 8000 MT/s using 16Gb and 24Gb dies and recently showcased DDR5 memory modules for servers, PCs, and workstations. Another Chinese supplier, Jiahe Jinwei, has entered mass production of 64 GB DDR5 RDIMM modules at 5600 MT/s. Via @wccftech

Meet Atelier Liquid Glass Lab. A voice-first AI design workstation for Mac. Design Liquid Glass UI by voice, iterate in real time, and copy SwiftUI code straight into your agentic coding workflow. Now live on the Mac App Store: