🐙 GitHub 项目: ComposioHQ/composio

🐙 ComposioHQ/composio 🔥🔥🔥 热门项目 📝 项目简介 Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action. 原文: Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action. … Read more

.de TLD offline due to DNSSEC? / .de TLD由于DNSSEC而离线?

📰 2026-05-06 05:00 更新 🔸 .de TLD offline due to DNSSEC? / .de TLD由于DNSSEC而离线? 🔗 .de TLD offline due to DNSSEC? 🔥 156 points 原文: Checking DS between . and de Query to k.root-servers.net for de/DS Received 366 bytes from 193.0.14.129 ;; Response received from [193.0.14.129] 366 octets ;; HEADER SECTION 译文: 检查.和de之间的DS向k.root-servers.net查询de/DS从193.0.14.129接收366个字节;;从[193.0.14.129] 366个二进制八位数接收的响应;;标头部分 自动更新 … Read more

Computer Use is 45x more expensive than structured APIs / 计算机使用的成本是结构化API的45倍

📰 2026-05-06 03:00 更新 🔸 Computer Use is 45x more expensive than structured APIs / 计算机使用的成本是结构化API的45倍 🔗 Computer Use is 45x more expensive than structured APIs 🔥 112 points 原文: We ran a benchmark comparing two ways of letting an AI agent operate the same admin panel, with the goal of putting a price tag … Read more

IBM didn’t want Microsoft to use the Tab key to move between / IBM不希望Microsoft使用Tab键在对话框字段之间移动

📰 2026-05-06 02:00 更新 🔸 IBM didn’t want Microsoft to use the Tab key to move between dialog fields / IBM不希望Microsoft使用Tab键在对话框字段之间移动 🔗 IBM didn’t want Microsoft to use the Tab key to move between dialog fields 🔥 62 points 原文: I’ve written in the past about the cultural mismatch between Microsoft and IBM during the … Read more

Accelerating Gemma 4: faster inference with multi-token pred / 加速Gemma 4 :使用多令牌预测起草器进行更快的推理

📰 2026-05-06 01:30 更新 🔸 Accelerating Gemma 4: faster inference with multi-token prediction drafters / 加速Gemma 4 :使用多令牌预测起草器进行更快的推理 🔗 Accelerating Gemma 4: faster inference with multi-token prediction drafters 🔥 77 points 原文: Why speculative decoding?The technical reality is that standard LLM inference is memory-bandwidth bound, creating a significant latency bottleneck. The processor spends the majority … Read more