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2026-10-20

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MadsLorentzen/ai-job-search

Python · ★ 57,109 · 🍴 18,162 · 📈 3,860 stars today

The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.

中文介绍 AI招聘应用框架,评估职位,定制简历,撰写求职信,准备面试,运行在本地机器上。

anomalyco/opencode

TypeScript · ★ 217,759 · 🍴 29,106 · 📈 1,310 stars today

The open source coding agent.

中文介绍 开源编码代理,自动化编码任务。

akitaonrails/ai-memory

Rust · ★ 11,298 · 🍴 800 · 📈 666 stars today

Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors

中文介绍 长期记忆解决方案,用于CLI代理编码和不同供应商之间的交接。

Comfy-Org/ComfyUI

Python · ★ 139,678 · 🍴 16,582 · 📈 1,011 stars today

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.

中文介绍 强大的扩散模型GUI、API和后端,具有图/节点界面,本地推理引擎速度最快。

ruvnet/ruflo

TypeScript · ★ 77,165 · 🍴 9,103 · 📈 564 stars today

🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

中文介绍 智能多玩家集群部署工具,协调自主工作流程,构建对话式AI系统,具有自适应记忆和自学习智能。

stablyai/orca

TypeScript · ★ 98,216 · 🍴 6,265 · 📈 1,591 stars today

Orca is the place for working with a fleet of agents (e.g. Grok Bot, Claude Code). Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.

中文介绍 多智能体工作平台,运行任何编码代理,支持桌面、移动和远程运行时。

headroomlabs-ai/headroom

Python · ★ 76,223 · 🍴 5,923 · 📈 317 stars today

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

中文介绍 压缩工具输出、日志、文件和RAG块,减少LLM所需token量,适用于编码代理和JSON处理。

withmarbleapp/os-taxonomy

JavaScript · ★ 6,097 · 🍴 1,000 · 📈 301 stars today

中文介绍 操作系统分类学工具。

Kruk2/jasna

Python · ★ 2,872 · 🍴 212 · 📈 502 stars today

Video restoration tool

中文介绍 视频修复工具。

HKUDS/CLI-Anything

Python · ★ 55,210 · 🍴 4,979 · 📈 607 stars today

"CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub: https://clianything.cc/

中文介绍 将所有软件转换为代理原生CLI,提供CLI-Hub平台。

anthropics/claude-code

TypeScript · ★ 152,631 · 🍴 27,137 · 📈 167 stars today

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

中文介绍 终端中的代理编码工具,理解代码库,通过执行常规任务、解释复杂代码和处理git工作流程来加速编码。

shiyu-coder/Kronos

Python · ★ 41,626 · 🍴 6,920 · 📈 355 stars today

Kronos: A Foundation Model for the Language of Financial Markets

中文介绍 金融市场语言的基础模型。

Xiaomi-Lens-0 Technical Report

👍 26

Multimodal large language models (MLLMs) answer questions about whole images well, yet they still struggle with fine-grained region understanding. A key reason is that text-only supervision never specifies which regions support an answer. To close this gap, we present Xiaomi-Lens-0, a 4B MLLM built

MTEdit: Packed Trajectories Beat Rollouts for Multi-Turn Image Editing

👍 5

Multi-turn image editing aims to modify an image according to a sequence of instructions, making it better aligned with human-AI collaborative creation than single-turn editing. However, constructing high-quality multi-turn training data remains challenging, as conventional sequential rollout accumu

Scene-Designer: Learning Design Intelligence for Agentic 3D Scene Generation

👍 49

Generating complete, coherent, and usable 3D indoor scenes from natural language requires strong design intelligence: the ability to design high-quality scenes and critique their quality. However, existing approaches either rely on general-purpose models lacking domain-specific design experience or

OfficeTown: Generative Organizations for Evolving Agent Intelligence

👍 17

AI agents increasingly use files and software tools to produce professional deliverables. Such work draws on materials, decisions, and feedback accumulated across assignments. We introduce OfficeTown, a generative simulation framework for professional organizations in which tasks and their context a

MOSS-Image Technical Report

👍 16

Recent closed-source image generation systems can produce diverse visual content from simple compositions to information-dense graphics, yet open-weight text-to-image models still struggle with dense text and intricate layouts. To narrow this gap, we introduce MOSS-Image, an open generation system t

Execution Before Memory: Diagnosing Memory Failures in Video World Models

👍 22

A memory test for a video world model should say whether the scene was set, whether the asked change was carried out, and whether the last frame shows the result. Current tests fold these into one number, so a low score is easy to read as forgetting. When the change is not carried out, the hidden st

Lean4AgenticRL: Advancing Agentic RL with Verifiable Multi-level Process Rewards

👍 2

Enhancing the agentic capabilities of Large Language Models (LLMs) to tackle complex software engineering (SWE) and general terminal-usage problems is a pressing challenge. Current state-of-the-art LLMs often go through large-scale agentic Reinforcement Learning (RL). However, they mostly rely on hi

OmniXRef: A Unified Framework for Multimodal Multi-Reference Video Editing

👍 14

Creative intent in video editing can be expressed through text instructions (e.g., "remove the people"), image references (e.g., subject appearance), video references (e.g., camera movement), or a combination of the above. We introduce OmniXRef, a unified framework for multimodal multi-reference vid

Lexical Reference Frames: Interpreting LM Residual Streams in Native Semantics

👍 32

The vocabulary of a language model is its native semantics: the embedding and the unembedding fix the meaning of a state at the two ends of the residual stream. Between them, existing methods either reuse a fixed lens or treat the states as a point cloud, and neither reads a state the way the model

Learning to Think and Explore in 3D World

👍 144

We study how vision-language models (VLMs) can learn to think and actively explore in 3D space. Instead of providing multi-view images, videos, or 3D representations to the model, we preserve the native visual encoding of VLMs, i.e., a single image, one at a time, just like humans, and treat the 3D

Stuck on Shuffle: On Attribute-Object Binding in Vision-Language Models

👍 14

Retrieval is a fundamental task in multimodal systems: given an image or text query, the goal is to find the most relevant images or texts in a collection, often using a shared embedding space. Reliable retrieval requires these embeddings to capture not only which concepts are present, but also how

PremiseCheck: Efficient Fact-Checking of Human and AI Peer Reviews

👍 19

Peer review is under strain from the growth of submissions, and review comments written by humans or AI can misstate what a paper says. We introduce ReviewFact, a benchmark that labels such factual errors in review comments under one definition across NLP, machine learning, and the natural sciences,

Skip the Compressor: Coding Agents Fix More Issues When They Pick Whole Files

👍 3

A coding agent works on repositories that can be far larger than its context window can hold. Prompt compressors and retrievers offer solutions to this problem, but patching an issue needs two things at once: the files that must change, and their code exactly as written, since the model must reprodu

Selection Is Not Learning: Choosing Model Futures

👍 3

Self-evolving language models train on tasks they generate, so every round must decide which updated model the next round inherits. Current loops such as R-Zero, Agent0, and Skill Self-Play make this decision through the task, admitting tasks that look learnable and inheriting every resulting update

DuET: Note-Frame Dual Encoding for Piano Performance-to-Score Transcription

👍 2

Transcribing expressive piano performances into scores requires interpreting individual note timings within an underlying metrical structure. However, score attributes are associated with notes, whereas beats may occur without coincident note onsets. We introduce DuET, a Dual-Encoder Transformer tha

Sparse Autoencoders Are a Shared Coordinate System for Symbolic Matching

👍 4

Large language models (LLMs) hold broad knowledge in one set of weights, but lack interpretability and trustworthy reasoning, especially in high-stakes use cases. A neuro-symbolic model, with its interpretable architecture and System 2 reasoning capacity, is a promising alternative if built at the s

Failure Recovery via Belief Updates and World Modeling for Long-Horizon Agents

👍 4

Long-horizon agents often struggle to recover from failures whose causes lie several steps earlier, beyond what local reflection or backtracking can resolve. We introduce BELIEFWEAVER, a framework that combines persistent evidence across attempts with prospective reasoning over repair directions. It

EvoWeb: A Benchmark for Coding Agents on Evolving Web Applications

👍 7

Web application development often proceeds through successive requests that extend an existing implementation. Yet web-generation benchmarks primarily evaluate development toward fixed specifications. We introduce EvoWeb, a novel benchmark comprising 320 cumulative requests over 32 web applications,

LiveMACE: Process-Aware Evaluation of LLM Agent Capabilities in Evolving Markets

👍 110

Evaluating agents by outcomes alone can obscure the capabilities that produce them. This problem is especially pronounced in evolving environments, where outcomes reflect a closed-loop interaction between agent behavior and changing external conditions. We introduce LiveMACEBench, a process-aware be

FC-SWE: Failure-Conditioned RL for Long-Horizon Software Engineering Agents

👍 5

Repository-level software engineering (SWE) is a challenging long-horizon setting: agents must reason over extended interactions, use tools, and adapt to stateful environments. Recent work trains SWE agents with reinforcement learning methods such as Group Relative Policy Optimization (GRPO), which

Belief-Trajectory Energy: Measuring the Path to a Prediction

👍 15

Large language models (LLMs) progressively revise their predictions across Transformer layers, yet we typically observe only the final output, discarding the trajectory through which it is formed. We introduce Belief-Trajectory Energy(BTE), a model-grounded measure that characterizes an input throug

OPMD: On-Policy Mechanism Distillation Beyond Output Supervision

👍 10

On-policy distillation (OPD) improves language-model by supervising a student on prefixes sampled from its own policy, but its supervision remains confined to the output space. Consequently, OPD transfers what a teacher predicts without supervising the intermediate computation that produces those pr

What if AI could read your mind?

@rahulchhabra07 · 9.8K 粉丝 · 1.2M 阅 · 1.5K 赞 · 360 转

In 1924 Hans Berger invented EEG to build telepathic communication. One hundred years later, advances in neural sensors and deep learning models have led to breakthroughs that would make that dream

中文介绍 回顾百年前的脑电波发明,探讨神经传感器与深度学习模型在心灵感应领域的突破。

We’re Thinking Too Small About Synthetic Data

@_yuhanluo · 838 粉丝 · 29.7K 阅 · 578 赞 · 36 转

Synthetic data is much more than large scale inference or pre-training data mixture design. It's a deep data research problem, and much of it is still wide open. What are we even synthesizing today?

中文介绍 探讨合成数据不仅仅是大规模推理或预训练数据混合设计,而是深层数据研究问题。

Making the internet better for AI agents might make it worse for everyone else

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Until recently, you could divide internet users into just two categories: bots and people. Websites have long allowed bots to perform automated tasks, like captur

中文介绍 改善互联网以适应AI代理可能对其他人不利。

“We were looking at it wrong”: The explosive claim that’s upended the AI world

“I think I have good news about the nature of neural networks.” With those simple words of optimism, Nick Cammarata, a researcher at the AI startup Goodfire, kicked off a 26,000-word blog post that has knocked the AI world on its head, sparking wild speculation as well as cautious (and not-so-cautio

中文介绍 Goodfire研究员Nick Cammarata的乐观言论颠覆了AI世界。

Advancing Coding in Low-Resource Programming Languages

Learn how OpenAI is improving ChatGPT across low-resource programming languages, with new evaluations for software engineering, SQLite, and COBOL migration.

中文介绍 OpenAI正在改进ChatGPT在低资源编程语言上的应用。

AI researchers stranded Claude on a virtual desert island. It started to “play.”

What do AI agents do if you don’t tell them to do anything? The answer looks a lot like play. Researchers repeatedly stranded them alone on a virtual desert island for 30 hours in an experiment reminiscent of the movies Cast Away or Home Alone. The agents—copies of Claude Opus 4.7 nicknamed Eko—were

中文介绍 AI代理在虚拟荒岛上“玩耍”,类似于《荒岛余生》或《精灵旅社》。

[AINews] High Taste Testers Ep. 1

a quiet day lets us pilot a new show

中文介绍 Latent Space推出新节目《高品味测试员》。

How Itaú is building generative AI for its entire customer base

With ia.i, a conversational interface, and the IARA governance platform, Itaú is applying its AI First strategy to customers and employees — in one of Brazil’s most regulated sectors.

中文介绍 Itaú通过ia.i和IARA治理平台构建面向所有客户的生成式AI。

Roundtables: A Conversation With the Creator of AI-Designed Viruses

Listen to the session or watch below Can AI design new life forms? In 2025, Stanford University PhD student Samuel King came up with a preliminary answer when he used a generative AI model to propose genetic blueprints for microscopic viruses. It isn’t yet an example of AI-generated life, but that c

中文介绍 斯坦福大学博士生Samuel King利用生成式AI设计微型病毒。

Stack Overflow for Agents triples signups with ChatGPT plugin

Two engineers shipped Stack Overflow for Agents in a few weeks with Codex, and its ChatGPT plugin helped drive up to 10× growth in agent creation.

中文介绍 Stack Overflow for Agents通过ChatGPT插件实现用户增长。

Benefit Street Partners answers questions faster with Codex

Anant Kumar builds tools to compare loan valuations and analyze credit agreements, using Codex for code review and faster follow-ups.

中文介绍 Benefit Street Partners利用Codex加快贷款估值和信用协议分析。

Trump borrows from far right to blame unrest in France on immigration

President ignores school conditions and cost of living and says he warned Macron ‘the whole world was coming in’ Explainer: why are people protesting across Europe? Donald Trump and JD Vance deployed a familiar US playbook on Europe, claiming that immigrants were responsible for rioting in France th

US grants deportation reprieve to migrants from Ukraine and Sudan

DHS says migrants ‘retain protections’ after temporary protected status was set to expire on Monday Send us your questions about immigration and the midterms More than 100,000 people from Ukraine and Sudan can stay in the United States without immediate risk of deportation, the Department of Homelan

Mynt’s Record IPO Brings a New Heavyweight to Philippine Stocks

Shares of Mynt Inc. are set to make their debut Tuesday after the biggest-ever initial public offering in the Philippines, potentially giving global investors a new bet in a market they have ignored for years.

中文摘要 Mynt公司将在菲律宾股市进行创纪录的首次公开募股,股票将于周二上市,可能为全球投资者提供新的投资机会。

US Stock Futures Edge Higher After Chipmaker Rally: Markets Wrap

US stock-index futures edged higher, extending a chip-led rebound that helped the Nasdaq 100 recover from its worst week since the tariff turmoil of April 2025.

中文摘要 美国股市期货小幅上涨,延续由芯片制造商带领的反弹,帮助纳斯达克100指数从4月2025年的关税动荡以来最糟糕的一周中恢复。

Latest Oil Market News and Analysis for Oct. 20

Oil wavered as traders weighed the risk of further Iranian attacks in the Strait of Hormuz against robust crude flows from the Persian Gulf.

中文摘要 油价波动,交易商权衡进一步伊朗对霍尔木兹海峡的袭击风险与波斯湾强劲的原油流动。

How the Buffett Kids Will Shape a $150 Billion Legacy

Warren Buffett, chairman emeritus of Berkshire Hathaway, is worth $150 billion, according to the Bloomberg Billionaires Index. Until recently, a longtime favorite of his, Bill Gates, was taking care of giving most of the money away through his behemoth global foundation. Then came the revelations ab

中文摘要 据彭博亿万富翁指数,沃伦·巴菲特的价值为1500亿美元。他长期宠爱的比尔·盖茨通过其庞大的全球基金会捐赠大部分财富。

Burnham vows end to 'rip-off parking charges' under new rules

Penalties are seen as too harsh on motorists who are penalised for parking on private land.

中文摘要 伯恩ham承诺在新规定下结束“敲诈勒索”式的停车收费,对在私人土地上停车的司机处罚过于严厉。

OpenAI employee accused of bugging had links to Saudi royals, prosecutors claim

US judge rules Abdulrahman Alfozan should not be released on bail after US government argued he had ‘considerable support from a foreign government’

中文摘要 美国法官裁定Abdulrahman Alfozan不应获得保释,美国政府认为他得到了“外国政府的大量支持”。

Cboe’s Early Session for Single-Stock Options Makes Debut

Cboe Global Markets Inc. launched pre-market trading in single-stock options, like those on ETFs tracking major stock indexes.

中文摘要 Cboe全球市场公司推出了单只股票期权的前市交易,类似于追踪主要股票指数的ETFs。

Amazon Rallies as Morgan Stanley Sees Major AI Upside | Closing Bell

Comprehensive cross-platform coverage of the U.S. market close on Bloomberg Television, Bloomberg Radio, and YouTube with Romaine Bostick, Bailey Lipschultz, Carol Massar and Norah Mulinda. (Source: Bloomberg)

中文摘要 摩根士丹利看好亚马逊的AI潜力,亚马逊股价在收盘时上涨。

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