Symplex, an open-source protocol semantic negotiation between distributed agents
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CHRONOLOGICAL LEDGER
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2026 年
二月
50 ENTRIESAGENTS.md 真的对 AI Coding 有用吗？或许在此之前你没用对？
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We hid backdoors in ~40MB binaries and asked AI + Ghidra to find them
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Minions: Stripe’s one-shot, end-to-end coding agents
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装了 OpenClaw 一个月，每天叫醒我的不是梦想AI编程AI编程实战AI出海
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一天一个开源项目（第30篇）：banana-slides - 基于 nano banana pro 的原生 AI PPT 生成应用
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How I use Claude Code: Separation of planning and execution
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Go + Eino 构建 AI Agent（二）：Tool Calling
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The Human Root of Trust – public domain framework for agent accountability
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Spring AI MCP 之 SSE WebFlux 实战：从零构建 AI 天气助手
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MCP
How Taalas “prints” LLM onto a chip?
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大语言模型
04:工具系统设计：从抽象基类到 JSON Schema 的完整实现
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03:多 LLM 提供商统一接入：Provider 模式与 LiteLLM 实践
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Show HN: Llama 3.1 70B on a single RTX 3090 via NVMe-to-GPU bypassing the CPU
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Forward propagation of errors through time
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Why is Claude an Electron app?
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成本大幅降低、Agent效率显著提升：CodeFlicker 接入 MiniMax M2.5 与 GLM-5
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zclaw: personal AI assistant in under 888 KB, running on an ESP32
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How an inference provider can prove they're not serving a quantized model
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Claws are now a new layer on top of LLM agents
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Large Language Model Reasoning Failures
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大语言模型
A.R.I.S.: Automated Recycling Identification System for E-Waste Classification Using Deep Learning
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深度学习
Lean 4: How the theorem prover works and why it's the new competitive edge in AI
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一天一个开源项目（第29篇）：Open-AutoGLM - 用自然语言操控手机的 Phone Agent 框架
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从搜索到交易：谷歌AI购物助手的技术架构与商业化路径解析
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Skills 实战:让 AI 成为你的领域专家
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Excessive token usage in Claude Code
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Cord: Coordinating Trees of AI Agents
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Our First Proof submissions
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博客与播客
What Language is This? Ask Your Tokenizer
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大语言模型
Sink-Aware Pruning for Diffusion Language Models
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大语言模型
Multi-Round Human-AI Collaboration with User-Specified Requirements
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大语言模型
FAMOSE: A ReAct Approach to Automated Feature Discovery
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AI Agent
Every company building your AI assistant is now an ad company
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Differences in Typological Alignment in Language Models' Treatment of Differential Argument Marking
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Amazon SageMaker AI in 2025, a year in review part 2: Improved observability and enhanced features for SageMaker AI model customization and hosting | Amazon Web Services
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Amazon SageMaker AI in 2025, a year in review part 1: Flexible Training Plans and improvements to price performance for inference workloads | Amazon Web Services
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大语言模型
Agent 自学指南1 - 别只会"Hi"了：给大模型装上手脚，5分钟变身 Agent
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Integrate external tools with Amazon Quick Agents using Model Context Protocol (MCP) | Amazon Web Services
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MCP
Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI
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Nvidia and OpenAI abandon unfinished $100B deal in favour of $30B investment
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混合精度NPU，爱芯元智如何登顶全球中高端边缘AI芯片市场
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The path to ubiquitous AI (17k tokens/sec)
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Minions – Stripe's Coding Agents Part 2
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WebMCP 实战指南：让你的网站瞬间变成 AI 的“大脑外挂”
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MCP
Fast KV Compaction via Attention Matching
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