AI 每日热点

为 Claude Code、Codex、Cursor 等 AI 编码工具提供预索引代码知识图谱，减少 token 消耗与工具调用，完全本地运行

为 Claude Code 提供完整学术研究工作流技能：调研→写作→审阅→修改→定稿

私人超级 AI 智能体，强调私密性、简洁性与强大能力

单文件 CLAUDE.md，汇总 Karpathy 对 LLM 编码陷阱的观察，改善 Claude Code 行为

从零学习 AI 工程：学习、构建、上线完整链路教程

让所有软件具备 Agent 原生能力的 CLI 框架，配套 CLI-Hub 生态

终端 AI 编码 Agent，支持哈希锚定编辑、LSP、Python、浏览器与子 Agent

Anthropic 官方维护的高质量 Claude Code 插件目录

完整 AI Agency 工具集，含前端、社区运营、创意注入等多种专业人格 Agent

跨平台 Electron 桌面应用，可流媒体播放或下载全球电影、剧集与动漫，无广告无追踪

基于真实基准测试排名第一的 AI 编码 Agent 持久化记忆方案

纯 C/C++ 实现的高性能 LLM 本地推理框架，支持多种量化格式与硬件后端

字节跳动研究院发布的大语言模型，面向推理与指令跟随任务优化。

基于LTX 2.3的开源视频生成模型，支持文本转视频和图像转视频，内置提示词增强器，无内容审查限制。

面壁智能出品的轻量级多模态大模型，支持图文理解与问答，参数量小但性能媲美大模型

Supertone出品的轻量级多语言TTS模型，支持31种语言，仅99M参数，可在CPU上本地运行，支持表情标签

Qwen3.6 27B参数模型的GGUF量化版本，由Unsloth优化，支持多token预测（MTP），适合本地推理部署。

大规模第一人称视角合成视频数据集，含44.9万条多模态数据，覆盖107种任务，用于机器人操作与动作识别训练

软件工程代理轨迹数据集，含1200万条零样本代码修复与任务执行轨迹，用于训练SWE智能体。

图灵企业发布的开源多模态强化学习数据集，用于提升视觉语言模型的推理与对齐能力

包含约8700条Claude Opus 4.6/4.7推理链的微调数据集，用于蒸馏或增强模型思维链能力。

越南语手写文字识别OCR模型第二版，专为越南文手写体场景设计优化。

arXiv:2605.18801v1 Announce Type: new Abstract: Data is fundamental to large language models (LLMs). However, understanding of what makes certain data useful for different stages of an LLM workflow, i

arXiv:2605.18818v1 Announce Type: new Abstract: Academic research tends to focus on new models for document understanding creating a wide gap in the literature between model definition and running mod

arXiv:2605.18937v1 Announce Type: new Abstract: Patient-managed Personal Health Records (PHRs) promises to empower patients to better understand their health; but information in the record is complex,

arXiv:2605.19008v1 Announce Type: new Abstract: Modern language-model training is increasingly exposed to instability, degraded runs, and wasted compute, especially under aggressive learning-rate, sca

arXiv:2605.19010v1 Announce Type: new Abstract: Natural language to SQL (NL2SQL) conversion is an important problem for researchers and enterprises due to the ubiquitous importance of relational datab

arXiv:2605.19031v1 Announce Type: new Abstract: Kolmogorov-Arnold Networks (KANs) have demonstrated an exceptional ability to learn complex functions on clean, low-dimensional data but struggle to mai

arXiv:2605.19035v1 Announce Type: new Abstract: The rapid advancement of Large Language Models has given rise to autonomous LLM-based agents capable of complex reasoning and execution. As these agents

arXiv:2605.19042v1 Announce Type: new Abstract: Machine unlearning aims to remove the contribution of designated training data from a trained model while preserving performance on the remaining data.

arXiv:2605.19093v1 Announce Type: new Abstract: System prompts are a central control mechanism in modern AI systems, shaping behavior across conversations, tasks, and user populations. Yet they are di

arXiv:2605.19099v1 Announce Type: new Abstract: We introduce DecisionBench, a benchmark substrate for emergent delegation in long-horizon agentic workflows. The substrate fixes a task suite (GAIA, tau

arXiv:2605.19127v1 Announce Type: new Abstract: LLM agents increasingly have access to private user data and act on the user's behalf when interacting with third-party systems. The user defines what m

arXiv:2605.19140v1 Announce Type: new Abstract: We study workflow learning in a setting where specialized agents hand off control through a shared artifact, each agent observes only a local function o