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🚨 NEW GROK BUILD UPDATE 🚨 Grok Build v1.0.0 is now live. SpaceXAI is pushing new Grok Build updates almost daily. Updates: UI & navigation • Dashboard rows show a short summary of what the agent did in the previous turn • Extensions modal groups items alphabetically with collapsible Skills sections • Grok skips the project-directory prompt when launched from home or other non-project directories • /feedback opens a dedicated report box instead of prompt mode • Auto theme detection works over SSH and inside tmux • Markdown tables reflow inside cells on narrow panes instead of clipping • Typing exit or quit in the dashboard exits the CLI • Mode indicator (plan/agent/ask) stays in sync after resume and mode changes • /delete returns to the dashboard when you delete a session opened from it • Enter in the slash command menu runs the highlighted command • Session-only slash commands show a message when used from the dashboard • /new from the dashboard returns to the dashboard from an empty prompt Permissions & input • Permission prompts show the complete script; long bash bodies expand with Ctrl-F • Tab and Esc behave consistently on question, permission, and cancel-turn cards • Rapid send-now presses no longer lose earlier queued messages • Esc and stop prevent background tasks from restarting the model after cancel • Queued prompts stay visible while waiting on subagents; slash/image rows can be reordered Reliability & correctness • MCP tools that return images no longer drop or corrupt large screenshots • Sandboxed Grok starts on large directories with many deny-glob matches • Login no longer skips when an invalid API key is in the environment • Model picker and command palette work while reviewing a plan • Codebase restore no longer hangs on large or shallow git repositories • Remote resume restores conversation only unless --restore-code is passed • Copying CJK text with the mouse includes every character at the selection edges • API errors appear as clean banners instead of raw JSON dumps • Grok retries more server errors during outages • Auto recaps no longer appear mid-turn or while busy • /btw error messages wrap fully • Forking very large sessions no longer uses many times the session file size in memory • Exiting an empty session is instant, even on slow networks Update now with "grok update" command.
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A 19-year-old Japanese student built a trading bot with Claude Code in 2 days. Used his iPad as a second monitor. First night: $6,732 profit. Starting capital: $68. Total profit so far: $750,000. Here's how it works: The bot scans over 50 markets simultaneously. Syncs live BTC data from Binance every second. Spots price errors before humans even notice. The edge is pure speed + pattern recognition. While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets. No guessing. No emotions. No hesitation. Just Claude Code logic finding gaps that close in seconds. He built the entire system in 48 hours: → Claude Code handles the trading logic → Binance API feeds real-time BTC data → iPad displays multi-market monitoring → Executes trades when arbitrage windows open The system runs 24/7. Every price dislocation = profit opportunity. Most people are still trading manually, refreshing charts, second-guessing entries. Meanwhile this 19-year-old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear. Why are people still trading manually? 💡 I'm giving away the exact Claude Code setup for free. 24 hours only. To get it: 1️⃣ Comment "Fable" 2️⃣ Like and Repost 3️⃣ Follow @expertwith_AI I'll DM you the complete setup.
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🕺🏽Make your code GLOW & Retro with the SynthWave extension in #vscode# #vscodeextension# #eighties# ➡️
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Every API call gives you a choice: wait for the result now, or collect it later. Agentic Document Extraction (ADE) works both ways when you run a Parse or Extract. The first way is synchronous. You send the request and wait on the line until the result comes back. Simple, and right when someone needs the answer immediately. The second is asynchronous. You submit the work, get a ticket, and pick up the result once it is done. Nothing sits waiting on an open line. The result is identical either way. Same Markdown from Parse, same fields from Extract. You are only choosing how long you wait. So why ever hand it off? Two reasons. Big jobs need it. A single asynchronous Parse Job takes files up to 1 GB or 6,000 pages, far more than one live request can hold. It also costs less. Waiting on the line runs at the top rate, since something is blocked on it. Hand the job off and you drop to a cheaper tier for the same result. The rule of thumb is one question. If a person or an agent is waiting on the answer, run it synchronously. If nothing is waiting, submit a job and pay less. Full breakdown, plus the service tier companion, in the comments.
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Good lip sync shouldn’t be something you notice. It should be something you forget. Minimax H3 is now available on @MiniMax_AI Video. Dialogue. Sound. Music — all in one take. Try it now. 🎤
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Schoolgirl charm meets Y2K pop energy! 💚💖 Watch this fun duo bring pure magic with synchronized steps. Ready to groove? ✨🎵👇 #cosplay# #lindo# #رقص# #cute# #косплей#
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恰恰瓜子,思念,七匹狼 也上实体清单了?😅😅 哈? 当地时间2026年7月31日,美国国土安全部(DHS)宣布,将 43 家中国企业列入UFLPA实体清单,同时对 2 家已列入企业进行技术性名称更新。新增名单于2026年8月3日生效。 其中包含 福建七匹狼实业股份有限公司Fujian Septwolves Industry Co., Ltd. (also known as Septwolves) 洽洽食品股份有限公司Chacha Food Company, Limited (also known as Chacha Food Co., Ltd.; Qia Qia Food; and Chia Chia Food Co., Ltd.) 郑州思念食品有限公司Zhengzhou Synear Food Co., Ltd.
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A high-stakes rescue moment brought to life with BACH 1.0 from spotting the danger to calling for evacuation before the avalanche hits. With Lip Sync and expressive character performance, every warning, every reaction, and every moment of urgency feels more real. Try BACH Free.
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K-Rock girl band Alice Syndrome have made their official debut with 'Deep Dive'
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As millions of humanoid robots enter homes, hospitals, hotels, retail, manufacturing, andpublic spaces, they'll need more than software updates—they'll need appearance maintenance. Who develops synthetic skin cosmetics?
Who restores realistic facial pigmentation?
Who creates protective coatings against UV, wear, stains, and microbes?
Who designs seasonal appearances, premium finishes, cosmetic upgrades, and personalized aesthetics?
Who certifies compatibility between cosmetic materials and different robot models? This isn't traditional cosmetics. It's thebeginning of a new discipline at the intersection of robotics, materials science, chemistry, industrial design, and AI. The industry will require:
• Specialized cosmetic formulations for synthetic skin
• Global product catalogs and compatibility databases
• Research repositories and technical standards
• Certified maintenance professionals
• Digital marketplaces connecting manufacturers and service providers
• Education, training, and certification platforms. believes we'll eventually see an entire digital ecosystem dedicated to humanoid cosmetics—where researchers, manufacturers, technicians, designers, and consumers collaborate to shape how robots look, feel, and age. Enter the digital asset of the future: The robots of tomorrow won't just be intelligent. They'll have a lifecycle of care, restoration, personalization, and cosmetic innovation. The future isn't just humanoid robotics. It's Humanoid Cosmetics. #HumanoidRobots# #Robotics# #Cosmetics# #SyntheticSkin# #MaterialsScience# #RobotDesign# #HumanRobotInteraction# #CosmeticScience# #FutureTech# #Innovation# #Automation# #DigitalTransformation# #EmergingTechnology# #TechStartups# #Industry40#
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