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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.

第三场GEO公开课资料都整理好了，数据和工具库又更新了 收藏这个合集备用： 📊 数据仓库、工具与skill 1、geo-citation-lab 2、《国内生成式AI引用生态全景报告》 3、GEOFlow 4、yao-geo-skills 5、《信源偏好分析报告》 6、国内AI引用偏好数据集 7、海外AI引用偏好数据集 8、GEO资源专题 📄 相关文档 1.《GEO白皮书》 2.《GEO红皮书》 3.《GEO蓝皮书》 4.《GEO到底是什么》 5.《从SEO到GEO，从流量到Agent，真正的变化才刚刚开始》 6.《从AI搜索逻辑到GEOFlow落地实战》 7.《一文讲透GEO内容工程：目标、要素、关系与反馈》

这个工具能阻止AI代理每次都重新学习你的代码库 • Graft构建持久化Markdown知识地图，让代理花更少时间搜索代码 • 减少工具调用、延迟和成本，同时保持编码准确性 仓库:

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.

X Layer has crossed 10,000 registered ERC-8004 agents onchain! As of Aug. 5, 10,126 of 10,463 registrations were attributable to the @OKX Agentic Marketplace. That concentration points to strong early traction for OKX Agentic Marketplace on @XLayerOfficial.

We tried using Meta's new Muse Code agent, but it has a bug that doesn't let it sign in from a docker container. So we did a fun experiment: Meta claims Muse Spark 1.2 was co-trained with their Muse agent harness. So we extracted instructions from their system prompt and added them to the Cline harness. TL;DR of this special prompting: - Trust source code over the user prompt, so read every call site and existing tests before starting the task - Weigh edge and error cases as heavily as the happy path - Always reproduce the bug before fixing - Don't trust the first passing test suite, and verify suspicious looking half-baked tests - Never stop at just editing, keep working until the change is verified complete. We then asked this modified harness to fix a real bug from our repo, and compared the results to the original Cline agent harness. Results: - Used 2.7x fewer tokens (19.7M → 7.2M) - Finished 2x faster (49min → 24min) - Cost 2.4x less ($7.69 → $3.25) Same Muse Spark 1.2 model, same task, only the prompting changed. Incredible how much of a performance gain Meta was able to achieve training it on these special instructions!