与「Automation」相关的搜索结果

📢 GPT-6 Sol & GPT-6 Luna Are Now Live on @OpenAI’s latest GPT-6 series models are now fully available on Both models feature a 1.05M context window, 128K max output, vision understanding, Computer Use, and 6-level adjustable reasoning intensity (from none to max): ☀️ GPT-6 Sol: The primary model for complex software engineering and agentic workflows. Scores 68.8% on DeepSWE v1.1, delivering repository-level coding and automation at ~80% lower cost per task. 🌙 GPT-6 Luna: Built for high-volume, focused workloads. Scores 66.6% on DeepSWE v1.1 at an ultra-low entry price of $0.10 / 1M input tokens, making flagship-grade reasoning highly cost-effective. Now available on both API and Web Chat! 👉 Try now:

📢 Xiaomi MiMo-V2.6 Series Models Are Now Live on Developed by Xiaomi MiMo, the newly released V2.6 series features open-weights native multimodal reasoning models with a 1M context window and full text/image/video/audio understanding: 🔸 MiMo-V2.6-Pro: Flagship 1.02T total / 42B active parameter sparse MoE architecture, engineered for repository-level software engineering, long-horizon agent workflows, and complex multimodal reasoning. 🔸 MiMo-V2.6-Flash: High-efficiency 309B total / 15B active parameter architecture, optimized for high-frequency office automation, fast agent execution, and cost-sensitive workloads. Now available on both API and Web Chat! 👉 Try now:

Our unboxed process for Cybercab assembles vehicle modules in parallel & frames the car in one step at the end. This streamlines automation & reduces the line size by half, unlocking much greater production capacity. The first real revolution in automotive manufacturing in over a century

Grok Bot might be the first tool that lets one non-technical person run an entire business with a team of AI agents. My friend Billy runs his whole newsletter business on Grok Bot agents, and I think we're about to see 100,000+ businesses like his. BEST PRACTICES: 1. The agents run on a shared cloud computer, so running your newsletter, your X, and your receipts all in one place creates context bloat and burns tokens fast. One mission per setup. 2. Start with a Chief of Staff. Give it access to your existing docs (Notion, Slack, Gmail), have it audit the business, then tell you the top three agents to build first to drive revenue. 3. Perfect a task with the Chief of Staff before spinning up a new agent. Have it do the outbound sales once, review it, and only then say "now build a bot that does exactly that." You earn each new hire by proving the task works first. 4. Constraints are the feature. You get a limited number of agents, one thread per bot, like DMs with a teammate. It forces you to stay mission-oriented instead of spinning up a bot for every random idea. 5. You make the decisions, not the agent. Billy's team spent three weeks unable to pick where content should live. At some point you say "we're doing Notion, no more tinkering" and move on. 6. Run week one with no new agents. Build the team, learn to fly the plane, just execute. Week three is when you find the real gaps and expand, someone to man the inbox, someone for the Shopify shop. 7. Then add routines so it works while you sleep. Ask your Chief of Staff what recurring jobs would move the business forward overnight, and it builds the automations that run without you. Thanks to @billyjhowell for sharing the sauce on @startupideaspod (follow for more). Grokbot is really cool. Watch below:

the best part of launching gemini 3.7 flash: watching teams at @Box, @Databricks, and @emergent put it to work on real workflows, not just benchmarks (though the benchmarks are also nice: 49→65.3 on deepswe, 2x on automationbench.) hear it from them directly 👇

Chrome was too heavy for AI agents Moli: The Ultimate headless browser for AI agents - 1/7 memory, 2/3 CPU, 4× faster cold start - Crawl more web pages - Full automation support Open source, Pure Rust.

Summer break is over and the new conference season is approaching! Thrilled to be speaking TWICE at @Devoxx 2026 🇧🇪 this October: ⚡ Tools in Action: modern automation with @java 🤿 Deep Dive: from AI to agentic systems with @langchain4j Heading to Antwerp? Come say hi! 🎤

如果你身边的人，到现在还没有在讨论： Codex、Claude Code、WorkBuddy、Cursor、Vibe Coding、Skills、MCP、智能体 Agent、子智能体Subagents、Token、OpenAl、Anthropic、提示词Prompt、Opus、Fable5、黄果短剧、Kimi、sol、JMR、91视频、上下文窗口、Tool Caling 工具调用、Computer Use、Browser Use、RAG、牛来、Memory、API、Al工作流 Workflow、自动化 Automation、本地部署、开源模型、多模态、推理模型.... 那说明你的圈子已经落伍了。