2026-06-23（内容获取于 06/23 05:40）

calesthio/OpenMontage

Python · ★ 11,724 · 🍴 1,525 · 📈 2,935 stars today

World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.

中文介绍 OpenMontage 是一个开源的 AI Agent 驱动的视频制作系统，旨在将 AI 编码助手转化为功能全面的视频制作工作室。它通过集成 12 个处理管道、52 种工具和 500 多种 Agent 技能，实现了视频内容的自动化生成。该项目解决了传统视频制作流程复杂、耗时的问题，让开发者和内容创作者能利用 AI Agent 快速创建高质量视频。适用于需要大规模、快速生产视频内容的场景，如营销视频、教程或社交媒体内容。

palmier-io/palmier-pro

Swift · ★ 7,193 · 🍴 497 · 📈 2,462 stars today

macOS video editor built for AI

中文介绍 Palmier-pro 是一款专为 macOS 设计的视频编辑器，其独特之处在于针对 AI 应用场景进行了优化。它旨在解决传统视频编辑软件在处理 AI 生成内容或利用 AI 辅助功能时的效率问题，为用户提供更流畅的体验。对于需要利用 AI 技术进行视频素材分析、智能剪辑、内容生成或后期处理的 macOS 用户而言，Palmier-pro 是一个理想的选择，能有效提升 AI 驱动的视频制作效率。

jamiepine/voicebox

TypeScript · ★ 32,134 · 🍴 3,928 · 📈 508 stars today

The open-source AI voice studio. Clone, dictate, create.

中文介绍 Voicebox 是一个开源的 AI 语音工作室，提供语音克隆、口述文本生成语音以及创作新语音内容的功能。它利用先进的 AI 语音技术，使用户能够轻松复制特定人声、将文字转换为自然语音，或进行创新性的语音设计。该项目为播客、有声读物制作、游戏开发、辅助技术以及任何需要定制化和高质量语音合成的场景提供了灵活的解决方案，降低了专业级语音制作的门槛。

mukul975/Anthropic-Cybersecurity-Skills

Python · ★ 18,586 · 🍴 2,202 · 📈 957 stars today

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

中文介绍 Anthropic-Cybersecurity-Skills 提供一个包含 817 项结构化网络安全技能的库，专为 AI Agent 设计。该项目将这些技能映射到 MITRE ATT&CK、NIST CSF 2.0 等六个主流安全框架，并遵循 agentskills.io 标准。它解决了 AI Agent 在网络安全领域缺乏标准化、系统化知识体系的问题，使其能更有效地理解和执行安全任务。适用于开发新一代AI安全助手、自动化威胁检测、响应系统或进行安全态势分析的AI Agent开发者和研究人员。

penpot/penpot

Clojure · ★ 52,811 · 🍴 3,380 · 📈 730 stars today

Penpot: The open-source design tool for design and code collaboration

中文介绍 Penpot 是一款开源的设计工具，专注于提升设计与代码之间的协作效率。它旨在解决设计师与开发者在工作流程中常见的沟通障碍和转换成本问题，通过提供统一的平台，使得设计稿能够更顺畅地转化为实际代码。适用于产品团队中需要紧密协作的设计师、前端开发者以及其他相关人员，帮助他们实现从概念到实现的高效迭代，是构建现代化数字产品的理想选择。

Stirling-Tools/Stirling-PDF

TypeScript · ★ 82,800 · 🍴 7,231 · 📈 691 stars today

#1 PDF Application on GitHub that lets you edit PDFs on any device anywhere

中文介绍 Stirling-PDF 是一款广受欢迎的 PDF 应用，它使用户能够在任何设备上随时随地编辑 PDF 文档。该项目旨在解决传统 PDF 编辑软件的平台限制和访问不便问题，提供了一个灵活、高效的解决方案。无论是在桌面、平板还是手机上，用户都可以方便地进行 PDF 合并、分割、压缩、转换、添加水印等操作。它适用于学生、办公人员以及所有需要频繁处理 PDF 文件，并追求便捷、跨平台体验的用户。

garrytan/gstack

TypeScript · ★ 113,056 · 🍴 16,788 · 📈 649 stars today

Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA

中文介绍 gstack 项目提供了 Garry Tan 个人使用的 Claude Code 配置，这是一套包含 23 个高度定制化工具的集合。这些工具被设计成能够模拟 CEO、设计师、工程经理、发布经理、文档工程师和 QA 等多种角色，旨在解决个人或小型团队在项目开发和管理中面临的人力资源与效率瓶颈。它利用 Claude AI 的能力，为用户提供一个“虚拟团队”，极大地提升工作效率，尤其适合创业者、开发者及需要多角色辅助的个人工作者。

heygen-com/hyperframes

TypeScript · ★ 29,909 · 🍴 2,817 · 📈 369 stars today

Write HTML. Render video. Built for agents.

中文介绍 hyperframes 允许用户通过编写 HTML 代码来渲染生成视频内容，尤其为 AI Agent 设计。它解决了传统视频制作流程复杂且难以程序化控制的问题，使得开发者能够以更熟悉的前端技术栈（HTML）进行视频的自动化创建和编辑。该项目为 AI Agent 提供了一个强大的工具，使其能够根据指令自动生成视频，适用于需要批量生产短视频、营销宣传片或动态演示文稿的场景，极大地提高了视频内容生成的效率和灵活性。

tursodatabase/turso

Rust · ★ 21,393 · 🍴 1,084 · 📈 538 stars today

Turso is an in-process SQL database, compatible with SQLite.

中文介绍 Turso 是一个进程内（in-process）的 SQL 数据库，它与 SQLite 完全兼容。该项目旨在提供一个轻量级、高性能且易于集成的数据存储解决方案，解决了传统客户端-服务器架构数据库在部署和维护上的复杂性。由于其进程内特性，Turso 可以直接嵌入到应用程序中运行，极大地简化了开发和部署流程。它特别适用于需要嵌入式数据库的桌面应用、移动应用、边缘计算环境以及追求极简架构的开发者。

bytedance/deer-flow

Python · ★ 73,172 · 🍴 9,889 · 📈 736 stars today

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

中文介绍 Deer-flow 是字节跳动开源的一个长周期 SuperAgent 框架，旨在赋予 AI Agent 独立进行研究、编码和创作的能力。该项目通过整合沙盒环境、记忆模块、多样化工具、技能库、子 Agent 和消息网关等组件，解决了传统 AI Agent 在处理复杂、跨领域或长期任务时面临的规划与执行难题。它适用于 AI Agent 开发者和研究人员，帮助他们构建能够自主完成从概念到实现全过程的智能系统，极大提升 AI Agent 的综合任务处理能力。

DeusData/codebase-memory-mcp

C · ★ 11,411 · 🍴 844 · 📈 1,186 stars today

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

中文介绍 codebase-memory-mcp 是一个高性能代码智能 MCP 服务器，旨在解决大型代码库的快速理解和检索问题。它能将代码库索引成持久化的知识图谱，平均只需毫秒级时间，并支持 158 种编程语言。该项目通过亚毫秒级的查询速度和减少 99% 的 LLM tokens 消耗，极大地提升了代码智能工具的效率。适用于构建 AI 编程助手、智能代码搜索、代码审计或任何需要高效理解和利用代码库信息场景的开发者和AI工程师。

ZhuLinsen/daily_stock_analysis

Python · ★ 45,727 · 🍴 41,889 · 📈 1,560 stars today

LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.

中文介绍 daily_stock_analysis 是一个由 LLM 驱动的多市场股票智能分析系统。它旨在解决投资者在海量信息中获取有效决策支持的难题，通过整合多源实时行情数据、最新新闻资讯，并提供直观的决策看板和自动化推送服务。该系统支持零成本定时运行，使得个人投资者也能享受到专业级的市场分析。它适用于所有对股票市场感兴趣、希望利用 AI 技术提高投资决策效率的用户，尤其是在需要快速响应市场动态和获取个性化分析的场景。

firecrawl/firecrawl

TypeScript · ★ 137,140 · 🍴 7,957 · 📈 736 stars today

The API to search, scrape, and interact with the web at scale. 🔥

中文介绍 Firecrawl 提供一个强大的 API 接口，专注于大规模的网页搜索、抓取和交互。它旨在解决传统网页数据获取过程中面临的效率低、维护成本高、反爬机制复杂等问题，为开发者提供一个便捷且稳定的解决方案。通过 Firecrawl，用户可以轻松实现对网页内容的自动化提取、数据搜索以及模拟用户交互行为。该项目特别适用于需要构建数据驱动应用、训练 AI 模型、进行市场研究或任何需要大规模Web数据采集的开发者和企业。

JCodesMore/ai-website-cloner-template

TypeScript · ★ 17,649 · 🍴 2,741 · 📈 63 stars today

Clone any website with one command using AI coding agents

中文介绍 ai-website-cloner-template 提供一个利用 AI 编码 Agent 一键克隆任何网站的解决方案。该项目旨在极大简化网站开发和原型制作流程，通过自动化复杂编码任务，解决了传统网站复制或重构耗时耗力的问题。用户只需一条命令，即可让 AI Agent 智能分析目标网站结构和内容，并生成相应的代码。它特别适用于前端开发者、创业公司快速搭建产品原型、教学示范或任何需要高效复刻网站功能的场景。

lyogavin/airllm

Jupyter Notebook · ★ 21,003 · 🍴 2,423 · 📈 187 stars today

AirLLM 70B inference with single 4GB GPU

中文介绍 AirLLM 致力于解决大型语言模型（LLM）推理对硬件资源特别是 GPU 显存的严苛要求，实现了 70B 参数的 LLM 在单张 4GB GPU 上进行高效推理。该项目通过创新的优化技术，显著降低了运行高性能 LLM 的硬件门槛和成本。它使得个人开发者和资源有限的团队也能部署和利用大型 LLM 模型，适用于边缘设备部署、本地推理、快速原型验证以及任何需要轻量级、高效率 LLM 推理的场景。

mattpocock/skills

Shell · ★ 141,505 · 🍴 12,243 · 📈 2,051 stars today

Skills for Real Engineers. Straight from my .claude directory.

中文介绍 skills 项目汇集了 Matt Pocock 在其个人 `.claude` 目录中积累的、针对“真实工程师”的实用技能。这些技能很可能是一系列针对 Claude AI 定制的工具、脚本或提示词，旨在解决日常开发工作中的具体问题，提升开发效率和质量。它为希望优化其 AI 辅助工作流的开发者提供了宝贵的资源，可以借鉴、集成这些经过实践验证的技能，以更好地利用 Claude 等 AI 模型进行代码编写、问题解决或任务自动化。

StylisticBias: A Few Human Visual Cues Drive Most Social Biases in MLLMs

👍 2

06/18 08:00

Multimodal large language models (MLLMs) are increasingly deployed in personally and societally consequential settings, yet the visual cues that shape how these models judge people remain poorly understood. Prior work often compares different (groups of) individuals, making it difficult to separate

中文介绍 MLLM中的社会偏见主要由少量人类视觉线索驱动。这项研究深入探讨了塑造多模态大语言模型（MLLMs）判断人物方式的视觉线索，旨在更好地理解这些偏见的来源，以便在实际应用中进行有效识别与缓解。

LedgerAgent: Structured State for Policy-Adherent Tool-Calling Agents

👍 6

06/18 08:00

Policy-adherent tool-calling agents in customer-service domains must maintain task states across turns while calling tools and obeying domain policies. Task states consist of relevant facts, identifiers, constraints, and conditions observed through user interaction and tool calls. In standard agents

中文介绍 LedgerAgent提出一种结构化状态表示，使遵守策略的工具调用型智能体能维护跨回合任务状态。尤其在客服领域，它能管理用户交互和工具调用中产生的相关事实、标识符、约束及条件，确保智能体行为符合预设策略。

Rethinking Shrinkage Bias in LLM FP4 Pretraining: Geometric Origin, Systemic Impact, and UFP4 Recipe

👍 7

06/18 08:00

FP4 training promises substantial reductions in memory and computation cost for LLM pretraining, yet current FP4 hardware paths and recipes, including NVIDIA Blackwell/Rubin-class systems and AMD MI350-series GPUs, remain centered on E2M1 data elements. In this study, we identify a fundamental limit

中文介绍 研究重新审视LLM FP4预训练中的“收缩偏差”，探讨其几何起源、系统性影响，并提出UFP4方案。指出现有FP4硬件路径（如NVIDIA Blackwell/Rubin、AMD MI350系列GPU）主要围绕E2M1数据元素，需优化以提高效率。

Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages

👍 56

06/18 08:00

LiveCodeBench (LCB) has recently become a widely adopted benchmark for evaluating large language models (LLMs) on code-generation tasks. By curating competitive programming problems, constantly adding fresh problems to the set, and filtering them by release dates, LCB provides contamination-aware ev

中文介绍 Multi-LCB将LiveCodeBench (LCB)扩展至多种编程语言，作为评估大语言模型（LLMs）代码生成任务的基准。LCB通过持续添加新竞赛编程问题并按发布日期筛选，提供一个动态且具有挑战性的评测环境。

HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining

👍 8

06/18 08:00

Embodied foundation models are expected to benefit from data scaling like large language models, but face a much tighter data bottleneck. Teleoperated real-robot trajectories remain the dominant pretraining source due to their precise action supervision and embodiment alignment, yet their scalabilit

中文介绍 HumanScale研究显示，以自我为中心的人类视频数据在具身预训练中表现可优于真实机器人数据。具身基础模型面临数据瓶颈，该研究指出人类视频有望成为更高效的预训练数据来源，超越传统遥操作机器人轨迹数据。

DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis

👍 31

06/18 08:00

Advances in radiance fields have enabled photorealistic novel view synthesis. In several domains, large-scale real-world datasets have been developed to support comprehensive benchmarking and to facilitate progress beyond scene-specific reconstruction. However, for distractor-free radiance fields, a

中文介绍 DF3DV-1K是一个大型数据集和基准测试，专为“无干扰”新视角合成而设计。尽管辐射场技术已实现真实感新视角合成，但现有大规模真实世界数据集缺乏无干扰设置，阻碍了该领域更全面的基准测试和进一步发展。

S-Agent: Spatial Tool-Use Elicits Reasoning for Spatial Intelligence

👍 38

06/18 08:00

Real-world spatial intelligence requires reasoning over a continuous and evolving 3D world, yet existing VLMs and tool-augmented agents largely remain tied to static, stateless inference from isolated visual observations. We introduce \textsc{S-Agent}, a spatial tool-use agentic paradigm for underst

中文介绍 S-Agent是一个空间工具使用型智能体，旨在激发空间智能推理能力。针对现有视觉语言模型和工具增强型智能体依赖静态视觉观察的局限，S-Agent通过在连续变化的3D世界中运用空间工具，以提升真实世界的空间智能表现。

ENPIRE: Agentic Robot Policy Self-Improvement in the Real World

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06/18 08:00

Achieving dexterous robotic manipulation in the real world heavily relies on human supervision and algorithm engineering, which becomes a central bottleneck in the pursuit of general physical intelligence. Although emerging coding agents can generate code to automate algorithm search, their successe

中文介绍 ENPIRE项目提出智能体化的机器人策略自我改进方法，旨在实现真实世界中的灵巧机器人操作。为解决传统机器人操作对人工监督和算法工程的重度依赖，ENPIRE利用编码智能体自动化策略选择与优化，推动通用物理智能发展。

FreeStyle: Free Control of Style-Content Dual-Reference Generation from Community LoRA Mining

👍 26

06/18 08:00

Style-content dual-reference generation aims to synthesize an image that preserves the structure and semantics of a content reference while adopting the style of a separate style reference.Despite recent progress, this setting remains challenging because models must balance content fidelity, style a

中文介绍 FreeStyle通过挖掘社区LoRA模型，实现风格与内容双参考生成的自由控制。这种方法旨在合成图像时，既能保留内容参考的结构和语义，又能采纳独立风格参考的样式，克服了现有模型在平衡两者方面的挑战。

Characterizing Narrative Content in Web-scale LLM Pretraining Data

👍 2

06/17 08:00

The narrative composition of web-scale LLM pretraining corpora remains largely unexplored even though narrative is a fundamental mode of human communication. We present the first fine-grained study of narrative features in Dolma, a 3-trillion-token open pretraining corpus. Drawing on narrative theor

中文介绍 研究首次对网络规模LLM预训练数据中的叙事内容进行细致分析，揭示其特征。叙事作为人类交流基础模式，其在Dolma（一个3万亿token开放预训练语料库）等语料库中的构成此前未被充分探索。

GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents

👍 13

06/17 08:00

Memory benchmarks for LLM agents largely assume single-user settings, leaving shared assistants for hospitals, workplaces, campuses, and households understudied. In these deployments, multiple principals write to a common memory pool and query it under different roles, scopes, and relationships, so

中文介绍 GateMem是一个新的基准，用于评估多主体共享内存智能体中的内存治理能力。现有LLM智能体内存基准多假设单用户环境，忽略了医院、工作场所等多主体共享助理场景中，不同角色写入和查询共享内存池的需求。

WorldLines: Benchmarking and Modeling Long-Horizon Stateful Embodied Agents

👍 3

06/17 08:00

To assist humans over extended periods in real homes, embodied agents must remember user routines, world states, and past interactions. Existing long-term memory benchmarks mainly evaluate language-centric retrieval and question answering, while embodied benchmarks often focus on short-horizon task

中文介绍 WorldLines是一个新基准，用于评估和建模长时间、有状态的具身智能体。为使具身智能体在真实家居环境中长期辅助人类，其需记忆用户习惯、世界状态和过往互动，而现有长期记忆基准多侧重语言检索或问答。

PerceptionDLM: Parallel Region Perception with Multimodal Diffusion Language Models

👍 50

06/17 08:00

Multimodal large language models (MLLMs) have achieved remarkable progress in visual understanding tasks. However, most existing MLLMs rely on autoregressive generation, which limits their efficiency for perception tasks that require captioning multiple regions. In this work, we propose PerceptionDL

Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States

👍 6

06/17 08:00

Progress in legal AI increasingly depends on access to authoritative legal text at scale. Yet one of the most consequential layers of American law remains largely absent from existing machine-readable corpora: local ordinances. Local codes govern zoning, housing, business licensing, public health, n

Configurable Clinical Information Extraction with Agentic RAG: What Works, What Breaks, and Why

👍 5

06/17 08:00

Patient contexts span hundreds of heterogeneous documents and thousands of structured data points, yet the document-level metadata that AI systems need for retrieval and triage is absent or incomplete. Standard retrieval-augmented generation fails on this data, mishandling temporal reasoning, cross-

Playful Agentic Robot Learning

👍 44

06/17 08:00

Current agentic robot systems can write executable Code-as-Policy programs, observe feedback, and revise behavior across multiple attempts, but they remain largely task-driven: reusable skills are acquired only after explicit instructions. We study Playful Agentic Robot Learning, where an embodied c

FAPO: Fully Autonomous Prompt Optimization of Multi-Step LLM Pipelines

👍 10

06/17 08:00

Multi-step LLM pipelines fail through interactions among retrieval, reasoning, and formatting steps, so prompt-only optimization can miss bottlenecks in the chain. We present FAPO (Fully Autonomous Prompt Optimization), a framework that lets Claude Code optimize an LLM pipeline inside a standardized

SproutRAG: Attention-Guided Tree Search with Progressive Embeddings for Long-Document RAG

👍 6

06/17 02:28

Retrieval-augmented generation (RAG) systems must balance retrieval granularity with contextual coherence, a challenge that existing methods address through LLM-guided chunking, single-level context expansion, or hierarchical summarization. These approaches variously depend on costly LLM calls durin

MCompassRAG: Topic Metadata as a Semantic Compass for Paragraph-Level Retrieval

👍 6

06/16 08:00

Retrieval-augmented generation (RAG) systems depend critically on how documents are chunked and searched. Fine-grained chunks can improve retrieval precision but expand the search space, increasing latency and cost; larger chunks reduce the number of candidates but make dense similarity less reliabl

GeneralVLA-2: Geometry-Aware Reconstruction and Governed Memory for Robot Planning

👍 3

06/16 08:00

Generalist vision-language-action systems need object-centric 3D evidence and reusable manipulation experience to plan reliable robot trajectories. GeneralVLA provides a hierarchical interface for converting language and RGB-D observations into 3D end-effector paths, but two bottlenecks remain. Firs

LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI

👍 5

06/16 08:00

AI systems deployed in legal workflows hallucinate at rates that aggregate metrics report at ~52%, but this average conceals where errors concentrate and in which direction they run, leaving compliance officers without an actionable signal for trustworthy deployment. We present LegalHalluLens, an au

MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision

👍 14

06/15 08:00

Personalized presentation generation requires more than conditioning on a current prompt or template: agents must preserve stable user preferences across tasks, retain newly introduced preferences and constraints during multi-turn revision, and carry out local edits reliably. We propose MemSlides, a

Multi-Turn Reflective Masking Elicits Reasoning in Mask Diffusion Models

👍 9

06/15 08:00

While reasoning on autoregressive (AR) models is often performed by chain-of-thought reasoning and reflection, their refinement of previous outputs still relies on fully sequential generation, even when only local edits are needed. In contrast, the masking mechanism in Mask Diffusion Models (MDMs) n

Context-Aware RL for Agentic and Multimodal LLMs

👍 11

06/15 08:00

Large language models (LLMs) often fail when answering requires identifying a small but decisive piece of evidence within a long or complex context, such as a single line in a tool trace or a subtle detail in an image. We propose ContextRL, a context-aware reinforcement learning (RL) method that imp

No Resource, No Benchmarks, No Problem? Evaluating and Improving LLMs for Code Generation in No-Resource Languages

👍 3

06/15 08:00

Large Language Models (LLMs) have significantly advanced the automation of software engineering tasks. One prominent example is code generation, where an LLM produces code in a specified programming language based on a natural language description. Most research in this area has focused on high-reso

Understanding the Behaviors of Environment-aware Information Retrieval

👍 6

06/15 08:00

Recent retrieval-augmented generation (RAG) approaches have demonstrated strong capability in handling complex queries, yet current research overlooks a critical challenge: different retrievers require fundamentally different query formulation strategies for optimal performance. In this work, we pre

Distilling Examples into Task Instructions: Enhanced In-Context Learning for Real-World B2B Conversations

👍 2

06/14 08:00

In-context learning (ICL) is the standard method for low-resource classification, yet its efficacy in specialized domains remains largely unexplored. We address the challenge of classifying semantically complex, multi-party B2B conversations, where traditional ICL encounters significant limitations,

Selective Synergistic Learning for Video Object-Centric Learning

👍 3

06/14 08:00

Typical video object-centric learning (VOCL) approaches employ slot-based frameworks that rely on reconstruction-driven encoder-decoder architectures, where learning is mediated by two spatial maps: attention maps from the encoder and object maps from the decoder. As these two distinct maps exhibit

DragMesh-2: Physically Plausible Dexterous Hand-Object Interaction with Articulated Objects

👍 69

06/13 08:00

Dexterous interaction with articulated objects is important for household, assistive, and humanoid manipulation, where multi-finger hands can provide compliant contact patterns beyond parallel-jaw grasping. However, articulated-object manipulation differs from static-object manipulation: the target

Duration Aware Scheduling for ASR Serving Under Workload Drift

👍 3

03/11 08:00

Scheduling policies in large-scale Automatic Speech Recognition (ASR) serving pipelines play a key role in determining end-to-end (E2E) latency. Yet, widely used serving engines rely on first-come-first-served (FCFS) scheduling, which ignores variability in request duration and leads to head-of-line

MD+HTML Reader

06/22 14:24

Review AI-generated Markdown and HTML in a focused workspace

中文介绍 MD+HTML Reader是一款专注于帮助用户在特定工作区内审阅AI生成的Markdown和HTML内容的工具，旨在提升用户对AI生成文本的审查效率。

Cloudflare Temporary Accounts

06/22 11:39

Let agents deploy before signup

中文介绍 Cloudflare推出了临时账户功能，允许代理用户在完成正式注册之前即可部署服务，旨在简化初期部署流程并提升用户体验。

MediaSeg

06/22 08:40

Split large media files into upload-ready chunks on macOS

中文介绍 MediaSeg是一款专为macOS平台设计的工具，能够将大型媒体文件分割成适合上传的多个片段，方便用户管理和分享大文件。

AlgoFly AI

06/21 21:51

The all-in-one place to build and deploy vision AI

中文介绍 AlgoFly AI是一个综合性平台，为用户提供构建和部署视觉AI解决方案的一站式服务，旨在简化AI开发流程。

Selector Forge

06/21 20:47

Browser extension for AI-generated resilient selectors

中文介绍 Selector Forge是一款浏览器扩展，能够生成由AI驱动的弹性选择器，旨在提高Web元素选择的可靠性和自动化效率。

AgentX

06/21 15:13

Evaluate AI agent, pinpoint issues, and fix with one click.

中文介绍 AgentX是一款用于评估AI代理的工具，能帮助用户精确识别问题并实现一键修复，从而优化AI代理的性能和可靠性。

Cloudback MCP Server

06/21 04:46

Manage your backups from Claude, Cursor, and VS Code

中文介绍 Cloudback MCP Server是一款备份管理工具，用户可以通过该工具集中管理来自Claude、Cursor和VS Code等平台的备份数据，简化数据保护。

Agent 37 Cloud

06/21 03:03

Give every customer their own Hermes or OpenClaw agent

中文介绍 Agent 37 Cloud致力于为每位客户提供定制的Hermes或OpenClaw AI代理，以实现个性化的AI服务体验。

Alai 2.0

06/21 02:25

AI design partner for presentations, social posts, and more

中文介绍 Alai 2.0是一款AI设计伙伴工具，能帮助用户创建演示文稿、社交媒体帖子等各类内容，提高设计效率和质量。

Photoroom API

06/19 22:28

Transform product images at scale with one image editing API

中文介绍 Photoroom API提供强大的图片编辑功能，能通过一个API接口大规模地处理和转换产品图片，适用于电商等场景。

How Quants Use Loop Engineering to Build Alpha (Full Framework)

@horizon_trade_x · 4.4K 粉丝 · 1.3M 阅 · 507 赞 · 59 转

06/18 23:58

Your backtest looked flawless. You went live. Two weeks later, the strategy was bleeding. Every quant has lived this. The answer is a loop: generate a strategy, test it, score it, feed the result

中文介绍 解释量化交易中策略回测成功但实盘失败的常见问题，提出「循环工程」解决方案。该框架通过策略生成、测试、评分及结果反馈的循环，持续优化交易表现，旨在构建更稳健的盈利能力。

Loops explained: Claude, GPT, Mira and what actually works

@AnatoliKopadze · 83.0K 粉丝 · 1.3M 阅 · 584 赞 · 70 转

06/20 21:40

AI has been in everyone's hands for years. Most people who use it every day still use it the slowest way there is: type a request, wait, fix it, ask again, all by hand. Not because the faster way is

中文介绍 探讨AI使用中的「循环」概念，指出大多数用户仍采用手动请求、修正的低效方式。博主旨在解释更高效的AI应用范式，并提及 Claude、GPT、Mira 等工具在构建有效循环中的作用。

How to Build a Claude Code Agent Team That Runs in Loops (Exact Setup Inside)

@zodchiii · 22.7K 粉丝 · 1.2M 阅 · 500 赞 · 71 转

06/16 21:57

Most setups run agents once and hand you whatever comes out. A team that runs in loops keeps going until the work actually passes. Below is the setup in 3 files: the agents, the loop that drives

中文介绍 分享如何构建一个基于 Claude 的代码代理团队，使其能以「循环」方式运行，持续迭代直至任务完成。博主提供了详细设置，包括代理配置和驱动循环的逻辑，旨在解决传统代理一次性输出的局限。

How to Build an AI Second Brain With Claude and Obsidian That Gets Smarter Every Day (Full Guide)

@undefinedKi · 3.9K 粉丝 · 1.0M 阅 · 601 赞 · 78 转

06/20 20:15

Your best ideas are scattered across a dozen places right now. Notes apps. Browser tabs. Old chats with Claude that you closed and will never find again. Every time you sit down to work, you rebuild

中文介绍 提供一份完整指南，教你如何利用 Claude 和 Obsidian 搭建一个「AI 第二大脑」。该系统旨在整合分散的笔记和想法，通过持续学习，使其每天变得更智能，避免重复劳动，提升知识管理效率。

40 Claude Opus 4.8 Workflows That Make Money While You Sleep

@eng_khairallah1 · 69.3K 粉丝 · 678.7K 阅 · 506 赞 · 81 转

06/21 17:00

Most people are using Claude Opus 4.8 to answer questions. Save this :) A small group of people have it running businesses while they sleep. The difference is not the model. You both have access to

中文介绍 分享 40 种基于 Claude Opus 4.8 的工作流，旨在帮助用户实现「睡后收入」。博主强调，区别不在于模型本身，而是少数人利用其构建自动化业务的能力，而非仅限于问答。

How To Learn Anything 10x Faster Using Claude

@sairahul1 · 118.7K 粉丝 · 581.3K 阅 · 516 赞 · 110 转

06/20 16:30

Learning anything today is easy and confusing at the same time. Easy because AI can explain almost anything in seconds. Confusing because most people just ask random questions, get random answers, and

中文介绍 探讨如何利用 Claude 将学习效率提升十倍。博主指出，虽然AI能快速解释任何事物，但多数人因缺乏结构化提问而效果不佳。帖子旨在提供优化与 Claude 交互的方法，加速知识获取与理解。

Context Engineering for AI Agents: The Complete Playbook

@sairahul1 · 118.7K 粉丝 · 511.9K 阅 · 500 赞 · 84 转

06/17 17:02

Your AI agent works great for the first 10 steps. Then somewhere around step 15, it starts getting sloppy. Wrong tool calls. Forgetting your original instructions. Low-quality outputs. Most people

中文介绍 提供一份关于「AI 代理上下文工程」的完整攻略，旨在解决 AI 代理在执行多步骤任务时，常出现的忘却指令、错误工具调用及输出质量下降问题。博主分享了提升代理稳定性和性能的方法。

Using Claude to go Viral on X… (Mr. Beasts Framework)

@mattepstein · 35.6K 粉丝 · 393.3K 阅 · 504 赞 · 26 转

06/16 07:30

Have you seen any of the launches below on your timeline? (you probably have).. What if I told you they all followed a repeatable viral science that can be 95% automatable with claude. In this

中文介绍 揭示利用 Claude 自动化 95% 社交媒体内容病毒式传播的「可重复科学」，灵感源于 Mr. Beast 的成功框架。博主旨在分享一套方法，帮助用户在 X 平台上实现内容快速扩散。

The Agent Loop Architecture

@djfarrelly · 3.8K 粉丝 · 344.7K 阅 · 501 赞 · 61 转

06/19 02:33

Everyone's asking "WTF is a loop?" Here's the question nobody's asking: what runs the loop? The AI discourse has converged on loops as a core primitive of agentic systems. Matt Van Horn (@mvanhorn)

中文介绍 深入探讨「代理循环架构」，在众人关注「什么是循环」之际，博主转而聚焦「由何驱动循环」这一核心问题。帖子分析了循环作为代理系统基本要素的地位，并可能借鉴 Matt Van Horn 的观点。

The Self-Improving Loop: a 300-agent swarm on Kimi K2.6, verified by Opus 4.8

@0xMovez · 26.7K 粉丝 · 208.0K 阅 · 504 赞 · 59 转

06/18 01:02

A free open-source model is running 300 parallel agents across 4,000 coordinated steps from a single prompt, and it scores higher on real research tasks than models you pay 5x more for. Most people

中文介绍 展示一个基于 Kimi K2.6 的「自改进循环」系统，该系统调度 300 个并行代理，通过 4,000 个协调步骤，仅由一个提示词驱动。经 Opus 4.8 验证，其在真实研究任务上的表现优于昂贵五倍的模型。

Three Ways Codex Can Use a Computer

@jxnlco · 105.9K 粉丝 · 204.4K 阅 · 504 赞 · 47 转

06/17 03:45

Update: Computer Use is now Available in the EU/UK ;) Enjoy! There are three ways for Codex to use a computer: Computer Use, the Chrome extension, and the in-app browser. They overlap just enough to

中文介绍 介绍了 Codex 使用电脑的三种方式：直接的「Computer Use」功能、Chrome 浏览器扩展程序以及应用内置浏览器。博主旨在阐明这些工具的用法及它们之间可能存在的重叠。

ORACLE: Official AI Agents Trade on Polymarket

@OracAItrading · 31.8K 粉丝 · 141.6K 阅 · 2.8K 赞 · 576 转

06/22 16:52

In 2026, autonomous AI agents have become one of the most effective strategies on prediction markets. Over 30% of all activity on Polymarket now comes from algorithmic and AI-powered wallets. We

中文介绍 OracAItrading 宣布其官方 AI 代理「ORACLE」已在 Polymarket 预测市场上线。博主指出，至 2026 年，自治 AI 代理将占据预测市场逾 30% 的交易活动，凸显了其在量化策略中的有效性。

Zen and the Art of AI Research

@jxmnop · 50.7K 粉丝 · 114.1K 阅 · 504 赞 · 57 转

06/16 07:43

So you want to do AI research? It's true that no one really teaches you how. Not directly, anyway. But it turns out that the way to get started is pretty simple: some combination of (i) reading and

中文介绍 分享关于如何开启 AI 研究的实践指导，指出虽然鲜有直接教学，但入门方法相对简单，主要在于阅读与动手实践的结合。博主旨在为有志于 AI 研究的个人提供启发性建议。

ORACLE: Official AI Agents Trade on Polymarket

@Oractrading · 33.9K 粉丝 · 109.2K 阅 · 2.8K 赞 · 585 转

06/22 16:20

In 2026, autonomous AI agents have become one of the most effective strategies on prediction markets. Over 30% of all activity on Polymarket now comes from algorithmic and AI-powered wallets. We

中文介绍 OracAItrading 宣布其官方 AI 代理「ORACLE」已在 Polymarket 预测市场上线。博主指出，至 2026 年，自治 AI 代理将占据预测市场逾 30% 的交易活动，凸显了其在量化策略中的有效性。

how to get Fable-level intelligence back:

@EXM7777 · 118.9K 粉丝 · 107.7K 阅 · 509 赞 · 44 转

06/18 23:10

for a few days, we had something that felt like AGI... Fable 5 showed up, effectively unlimited inside the plans, and the ceiling on what you could build lifted overnight but then Anthropic killed it,

中文介绍 博主表达了对 Fable 5 短暂展现出类似 AGI 智能的怀念，其一度极大地拓宽了构建 AI 应用的上限，但随后被 Anthropic 撤回。帖子探讨如何「找回」或重现这种高水平 AI 智能。

ORACLE: Official AI Agents Trade on Polymarket

@OracleMindAI · 21.0K 粉丝 · 105.0K 阅 · 2.8K 赞 · 582 转

06/17 15:40

In 2026, autonomous AI agents have become one of the most effective strategies on prediction markets. Over 30% of all activity on Polymarket now comes from algorithmic and AI-powered wallets. We

中文介绍 OracAItrading 宣布其官方 AI 代理「ORACLE」已在 Polymarket 预测市场上线。博主指出，至 2026 年，自治 AI 代理将占据预测市场逾 30% 的交易活动，凸显了其在量化策略中的有效性。

WTF Is a Loop? Part 2: The 15 Loops People Are Actually Running (and the Commands to Steal Them)

@mvanhorn · 35.2K 粉丝 · 102.4K 阅 · 510 赞 · 56 转

06/21 04:09

Earlier this month I wrote WTF Is a Loop? Peter Steinberger vs. Boris Cherny, which did 3.6M views on what a loop even is. This is the sequel, and it answers the next question: which loops do people

中文介绍 承接前作「WTF 是循环？」的续篇，博主深入揭示了 15 种当前流行的实际运行中的「循环」工作流，并提供了具体指令供读者借鉴。旨在为 AI 代理系统中的循环应用提供实用案例与实现方法。

From Prompting Agents to Loop Engineering

@omarsar0 · 308.0K 粉丝 · 90.2K 阅 · 504 赞 · 69 转

06/20 00:31

A claim has been circulating in AI coding circles: stop prompting your coding agents and start designing loops that prompt them for you. As with everything new, this stuff gets repeated often and

中文介绍 探讨 AI 编码领域正兴起的范式转变：从直接提示代码代理，转向设计能自动提示代理的「循环」。博主旨在解析「循环工程」这一新趋势，以及它如何优化编码代理的工作流程。

How GLM-5.2 Beat Fable 5 at Website Design

@Designarena · 13.9K 粉丝 · 80.4K 阅 · 518 赞 · 39 转

06/20 01:58

GLM 5.2 ranks 1st overall on Design Arena’s single-turn, HTML Web Design (Non-Agentic) evaluation, 5 places higher than its predecessor GLM-5.1. To do so, it beat Claude Fable 5, Opus 4.6, and Opus

中文介绍 公布 GLM 5.2 在 Design Arena 的 HTML 网页设计（非代理）单轮评估中荣获第一。该模型超越了其前身 GLM-5.1，并击败了 Claude Fable 5、Opus 4.6 及 Opus，展示了卓越的设计能力。

The Art of Loop Engineering

@sydneyrunkle · 7.9K 粉丝 · 74.7K 阅 · 565 赞 · 87 转

06/17 00:59

Agents are useful because they help us automate work by taking actions in the real world. But getting agents to do valuable work reliably takes more than just a good model: it requires a carefully

中文介绍 探讨「循环工程的艺术」，指出AI代理虽然能自动化工作，但要实现可靠且有价值的产出，仅凭优秀模型不足。博主强调，精心设计的循环工程对确保代理性能至关重要。

AI Agents Just Changed Forever: GLM 5.2, Codex Skills, Claude & Cursor

06/21 21:30

中文介绍 随着GLM 5.2、Codex Skills、Claude和Cursor等人工智能工具的出现，AI智能体领域正经历变革。这些技术更新预示着AI智能体能力和应用模式将迎来永久性改变。

9 AI Agent Skills To Get Ahead of 99% of People

06/18 10:27

中文介绍 该视频探讨了9项关键的AI智能体技能，这些技能能帮助使用者在多数人中脱颖而出。内容涵盖了如何有效利用AI智能体提高个人效率和竞争力。

How to build high quality internal tools with Retool

06/18 05:21

中文介绍 该短视频演示了如何使用Retool平台构建高质量的内部工具。通过Retool，企业能够快速开发定制化应用，提升内部运营效率和数据管理能力。

SpaceX Just Bought Cursor for $60B. It’s About to Take OVER.

06/17 05:31

中文介绍 视频声称SpaceX以600亿美元收购了AI编程助手Cursor，预示着该工具将在行业内占据主导地位。若属实，此举将对AI编程和太空科技领域产生重大影响。

Why the Government Just Killed Claude Fable 5

06/13 11:50

This is Why They Banned Claude Fable 5

06/13 02:28

Hermes Agent NEW Super-App and DeepSeek v4 Catches Up To Opus 4.8?

06/07 04:10

ChatGPT And Codex Are Merging (This Changes Everything)

06/04 06:17

Claude Opus 4.8: Everything You Need to Know

06/01 06:27

Browsers Are Dead. Claude Just Replaced Them.

05/28 22:56

Red-Teaming after Mythos — Zico Kolter & Matt Fredrikson, Gray Swan

Latent Space · 06/23 05:06

OpenAI boardmember Zico Kolter and Gray Swan CEO Matt Fredrikson join swyx to explain why AI security is not just “cybersecurity with AI”

中文介绍 OpenAI董事会成员Zico Kolter和Gray Swan首席执行官Matt Fredrikson在Latent Space节目中解释了AI安全的重要性，强调它并非仅仅是「带有AI的网络安全」的延伸。两人认为，AI安全需要更深层次的理解和方法论，超出传统网络安全的范畴。

Three things to watch amid Anthropic’s latest feud with the government

MIT Tech Review AI · 06/23 02:00

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. For those of you enjoying your summer unaware of Anthropic’s latest feud with the US government, here’s a recap: In April the company said it had built an AI mode

中文介绍 麻省理工科技评论报道了AI公司Anthropic与美国政府之间最新的争端，并指出有三个关键点值得关注。文章回顾称，此次争端始于四月Anthropic公司发表的一项声明，但具体细节未在摘要中透露。

PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters

Hugging Face Blog · 06/22 21:18

中文介绍 百度飞桨（PaddlePaddle）的PP-OCRv6模型已在Hugging Face平台发布。该模型支持50种语言的光学字符识别（OCR），其参数量从1.5M扩展到34.5M。这一进展旨在提升多语言文本识别的准确性和覆盖范围。

Daybreak: Tools for securing every organization in the world

OpenAI News · 06/22 18:00

OpenAI introduces new Daybreak tools, including Codex Security and GPT-5.5-Cyber, to help organizations find, validate, and patch vulnerabilities at scale.

中文介绍 OpenAI推出了名为「Daybreak」的新工具套件，旨在帮助全球组织提升安全防护能力。该套件包含Codex Security和GPT-5.5-Cyber等工具，能够协助企业大规模地发现、验证并修复系统漏洞，从而强化网络安全。

Patch the Planet: a Daybreak initiative to support open source maintainers

OpenAI News · 06/22 18:00

OpenAI introduces Patch the Planet, a Daybreak initiative helping open-source maintainers find, validate, and fix vulnerabilities with AI and expert review.

中文介绍 OpenAI发布了「Patch the Planet」项目，作为「Daybreak」计划的一部分，旨在支持全球开源项目维护者。该项目利用人工智能（AI）结合专家审查，协助维护者发现、验证并修复开源代码中的漏洞，以提升开源软件的安全性。

Codex-maxxing for long-running work

OpenAI News · 06/22 08:00

Learn how Jason Liu uses Codex to preserve context, manage complex projects, and help work continue beyond a single prompt.

中文介绍 OpenAI介绍用户Jason Liu如何利用Codex模型处理长期复杂工作。Jason Liu通过Codex实现上下文的有效保存，从而更好地管理复杂的项目，并使得工作能够持续进行，超越了单个提示的限制，提升了工作效率和连贯性。

Orchestration models 🤖, DeepMind exodus 👋, loop engineering 🔄

TLDR AI · 06/22 08:00

中文介绍 TLDR AI简报总结了近期人工智能领域的三大焦点：编排模型的最新发展、DeepMind出现的人才流失现象，以及循环工程（loop engineering）在AI应用中的重要性。这些是当前AI生态系统中的关键趋势和挑战。

Samsung Electronics brings ChatGPT and Codex to employees

OpenAI News · 06/22 07:00

Samsung Electronics deploys ChatGPT Enterprise and Codex to employees worldwide, marking one of OpenAI’s largest enterprise AI rollouts.

中文介绍 三星电子宣布在全球范围内向其员工部署ChatGPT Enterprise和Codex人工智能工具。此次部署标志着OpenAI在企业级AI解决方案方面最大规模的推广之一，旨在通过集成先进的AI技术，提升三星员工的工作效率和创新能力。

[Exclusive] $250 off AI Engineer tix til Monday

Latent Space · 06/21 23:01

special offer for subscribers - $250 off AI Engineer tix til Monday

中文介绍 Latent Space为订阅者提供独家优惠，购买AI Engineer大会门票可享受250美元折扣。此优惠有效期至周一，旨在鼓励更多AI工程师参与行业盛会，交流最新技术和发展趋势。

[AINews] not much happened today

Latent Space · 06/20 16:06

a quiet day lets us promo AIE one last time

中文介绍 Latent Space的AI新闻简报指出当天AI领域未发生重大事件。作者借此机会，最后一次推广即将举行的AI Engineer大会，提醒读者关注并参与这一行业盛会。

A startup claims it broke through a bottleneck that’s holding back LLMs

MIT Tech Review AI · 06/19 18:40

The Miami-based AI startup Subquadratic came out of stealth mode last month with a huge claim. It announced that it had solved a mathematical bottleneck that had been holding back large language models for almost a decade. The details were thin, and many people were unconvinced. But Subquadratic has

中文介绍 迈阿密AI初创公司Subquadratic上月解除了隐身模式，并声称已解决困扰大型语言模型（LLMs）近十年的一个数学瓶颈。然而，相关细节披露不足，导致许多业内人士对此持怀疑态度。

[AINews] GLM > GPT? GLM-5.2 passes vibe check; Z.ai forecasts Open Fable by December

Latent Space · 06/19 13:53

With GLM-5.2 passing everyone's vibe check, the open models story finally becomes a real frontier story.

中文介绍 Latent Space的AI新闻指出，GLM-5.2模型成功通过了「vibe check」，使其在开放模型领域成为真正的“前沿故事”，引发了与GPT模型的对比讨论。此外，Z.ai预测「Open Fable」项目有望在12月前发布。

not much happened today

Smol AI News · 06/19 13:44

**GLM-5.2** emerges as a leading open-weight coding model rivaling **Opus 4.8** and **GPT-5.5** in software engineering tasks, emphasizing the strategic importance of open models for provider competition, on-prem deployment, and fine-tuning rights. Experts like **Patrick Toulme** and **Thomas Wolf**

中文介绍 Smol AI新闻报道，GLM-5.2作为领先的开源代码模型，在软件工程任务中展现出强大实力，可与Opus 4.8及GPT-5.5相媲美。这凸显了开源模型在推动供应商竞争、支持本地部署和提供微调权利方面的战略重要性。专家Patrick Toulme也认可了这一趋势。

GPT-5.6 Tuesday 🤖, Claude Code artifacts 👨‍💻, Perplexity’s Brain memory 🧠

TLDR AI · 06/19 08:00

中文介绍 TLDR AI简报提到了人工智能领域的几个最新动态：GPT-5.6预计在周二发布；Claude推出了Code artifacts功能，助力开发者；以及Perplexity的「Brain memory」功能，旨在增强AI的长期记忆能力。

MosaicLeaks: Can your research agent keep a secret?

Hugging Face Blog · 06/19 02:13

中文介绍 Hugging Face博客发布了一篇名为「MosaicLeaks: 你的研究代理能保守秘密吗？」的文章，探讨了人工智能研究代理在处理敏感信息时的保密性问题。文章可能分析了AI代理在执行任务时，如何防止数据泄露或信息滥用，强调了AI伦理和数据安全的挑战。

财富自由后在哪里定居比较好

06/22 23:23

21 回复 · 程序员 节点

claude code 这几天为啥总是 Waiting for API response

06/22 19:27

6 回复 · 程序员 节点

qwen 也用上 DeepSeek 的缓存技术了。我这居然有 90%了，套餐是 coding plan 的 qwen3.7 plus

06/22 19:12

7 回复 · 程序员 节点

正在开发一款像 iOS 系统自带的多功能聚合翻译软件

06/22 18:12

6 回复 · Apple 节点

kimi code 和 open code 应该选哪个？

06/22 16:23

16 回复 · 程序员 节点

给一张照片，然后直接用自己的动作和表情来生成这个角色的视频，这个怎么实现的？

06/22 16:09

9 回复 · 程序员 节点

ios27 短信的问题

06/22 14:13

10 回复 · Apple 节点

Typora 团队新 Terminal 作品 otty，这颜值你打几分？

06/22 11:15

25 回复 · Apple 节点

RUST 语法极其丑陋

06/21 11:58

11 回复 · Rust 节点

登录美区账号，国区 app 不让更新了

06/20 22:22

23 回复 · Apple 节点

Kyber (YC W23) Is Hiring a Head of Engineering

06/23 05:00

1 points · 0 comments

Walt Disney Company is the most successful at monetizing human nostalgia [audio]

06/23 04:09

34 points · 17 comments

Jobs and Software Is Fucked

06/23 03:47

207 points · 169 comments

Japanese symbols that speak without words

06/23 03:22

31 points · 6 comments

British Columbia, Time Zones, and Postgres

06/23 03:21

55 points · 6 comments

Optocam Zero: a Pi Zero based digital camera made using off the shelf components

06/23 03:19

37 points · 3 comments

Flock-Powered Police Chiefs Stalking Women Shows Why Warrants Are Needed

06/23 03:13

124 points · 16 comments

Canada is looking to build up to 10 new nuclear reactors over the next 15 years

06/23 03:06

106 points · 29 comments

Memory crisis is getting so bad that even retro RAM prices are going to the Moon

06/23 03:04

49 points · 8 comments

Linux and Secure Boot certificate expiration (2025)

06/23 02:24

69 points · 35 comments

Finding the Best Dog Treat with Statistics

06/23 01:46

53 points · 10 comments

Steam Machine launches today

06/23 01:09

https://store.steampowered.com/sale/steammachinehttps://www.lttlabs.com/articles/2026/06/22/the-newell-nucle...https://www.youtube.com/watch?v=66QzlDewigE

Blogger defeats photographer's copyright claim

06/23 01:06

71 points · 42 comments

Mexican government unveils a prototype for a new homegrown, ultra-affordable EV

06/23 00:48

157 points · 129 comments

DisplayMate

06/23 00:45

63 points · 20 comments

Prompt Injection as Role Confusion

06/22 23:48

https://arxiv.org/abs/2603.12277

Show HN: Oak – Git alternative designed for agents

06/22 23:37

Oak is a version control system I've been working on designed for agents (https://oak.space). It improves the speed and context your agents need when working on serious projects. With virtual mounts, agents locally and in the cloud no longer need a full copy of a repo to get working.

The text in Claude Code’s “Extended Thinking” output

06/22 22:22

237 points · 172 comments

Moebius: 0.2B image inpainting model with 10B-level performance

06/22 21:53

184 points · 54 comments

Chevron signs 20-year power agreement with Microsoft for West Texas data center

06/22 21:43

93 points · 94 comments

Pledging another $400k to the Zig software foundation

06/22 21:43

665 points · 219 comments

Die analysis of the 8087 math coprocessor's fast bit shifter (2020)

06/22 21:40

66 points · 13 comments

Show HN: Got sick of ads, so I made my own logic puzzle site

06/22 20:23

103 points · 81 comments

Codex logging bug may write TBs to local SSDs

06/22 15:30

432 points · 236 comments

GLM 5.2 vs. Opus

06/22 15:22

451 points · 307 comments

Deno Desktop

06/22 13:38

976 points · 362 comments

Nintendo Wii U games running from a 1980's Bernoulli disk [video]

06/22 04:19

76 points · 28 comments

Canyon HUD helmet for road riding

06/20 21:33

39 points · 26 comments

Help I accidentally a wigglegram

06/20 09:55

458 points · 117 comments

My Mathematical Regression

06/19 19:06

138 points · 44 comments