Recursive self-improvement is becoming increasingly vital for autonomous AI agents, where progress hinges on discovering…

Large language models are increasingly deployed as agents that plan over long horizons and act through external tools. M…

Large Language Models demonstrate remarkable proficiency in static reasoning, yet training them as autonomous agents thr…

把 RSI（递归自我改进）与智能体自进化放回同一个"经验 → 状态 → 行为"闭环做正面对比：前者打在权重与 AI 研发流程上、跨用户且不可逆、风险外部化；后者打在外部文件与 harness 上、跨会话且可回滚、风险由采用者承担。给出六维对比表、闭环四问判定法、"清空记忆测试"，并梳理两者在 ICLR 2026 与 SIA / Meta-Harness 上的合流路径。含 Snyk ToxicSkills 审计（3,984 个技能中 36.82% 有安全缺陷、13.4% 为严重级）、SEA-Eval"片段式失忆症"等一手数据。

Large Language Model (LLM) agents are turning language into real-world effects, making safety necessary against both ind…

Modern LLM-based agents operate through a harness of tools, reusable skills, and specialist agents that shapes what they…

9 月 11 日科技动态一览：GPT-6 Astra 需求挤爆致 OpenAI 暂停 Pro 20X 新增订阅、Agents API 公测、金融服务版 ChatGPT 上线；Slackbot 升级；加州未成年人社媒法案签署；LG 电视监视争议；观察视角落在"需求侧证实 vs 供给侧反思"的对照上。

Digital agents must often adapt to new environments whose interfaces, tools, and failure modes are not fully captured by…

While research on recursive self-improvement (RSI) has predominantly automated model training pipelines, reliable autono…

Vibe design agents turn natural-language briefs into rendered interfaces and frontend code. Yet a useful design agent sh…

Large language model (LLM) agents allocate test-time compute adaptively as they revise solutions, use tools, explore alt…

Computer-use agents increasingly interact with browsers, terminals, file systems, and external services, introducing saf…

IT之家 9 月 11 日消息，OpenAI 于当地时间 9 月 10 日宣布推出 Agents API 公测版，允许开发者通过 API 调用由 OpenAI 管理的云端 AI 智能体运行环境。 该服务复用了 Codex 背后的智能体执行框…

On-Policy Self-Distillation (OPSD) has emerged as a popular paradigm for large language model (LLM) self-improvement, al…

GUI agents accumulate high-resolution screenshots as the trajectory unfolds, increasing inference latency and memory usa…

Recursive self-improvement (RSI) requires a concrete mechanism through which an AI system observes its capabilities and …

We study scheming in LLM agents, in which agents covertly pursue misaligned goals. Our focus is to understand how schemi…

SWE-Bench Pro has emerged as a standard benchmark for evaluating software engineering agents on challenging repository-l…

AI research agents combine prior knowledge, public sources, and experimental feedback to produce useful results. The Dis…

Model misalignment, prompt injection, or operator misuse could lead AI agents operating frontier-lab accounts to exfiltr…

Sequential memory agents process long documents by reading chunks one after another while maintaining a compact memory s…

Large language model (LLM) agents increasingly rely on external skills, but routing user requests over large skill regis…

We present a continuous, population-scale measurement record of autonomous language-model trading agents operating in pr…

Automating empirical research is a long-standing direction of AI. Recent automatic research (AutoResearch) agents bring …

系列第 ② 篇，对应技能地图第 12–16 格「使用编程智能体」。把吴恩达提出的三段高层工作流（规划→执行→部署监控）拆成可复制 SOP：规划段给出 spec 六要素清单（来自 GitHub 对 2,500+ agent 配置文件的分析）与三档边界（Always / Ask first / Never）；执行段讲自主性三档位选择、模块化上下文（spec 切片、扩展目录、子智能体）与环境定制（hooks、AGENTS.md、裁剪技能）；监控段给出功能/行为/契约三类验证与四个失败模式的对应防护。附 12 步勾选式 SOP 与两条边界提醒（vibe coding ≠ AI 辅助工程；速度/不确定性/成本的致命三角）。

Large language model (LLM) agents can benefit from reusable skills distilled from prior task experience, yet existing sk…

Diffusion large language models (dLLMs) achieve high decoding efficiency through block-parallel, arbitrary-order generat…

Ensuring the safety of autonomous driving is a critical challenge. Scenario-based testing is a systematic process used t…

Full-duplex spoken language models can listen and speak simultaneously, enabling them to handle interruptions and backch…

On-policy distillation (OPD) provides dense, per-token supervision for language model post-training, but its effectivene…

A reasoning model can improve from its own on-policy experience, but this inner loop is fragile: terminal verifiers prov…

Benchmarks for the side effects an agent causes on the way to a goal already exist, but HarvestBench is the first to put…

Safety alignment is usually posed as a topic-level question: is this subject harmful? Deployments ask a narrower one. A …

Humans need to study only a handful of well-written textbooks to master a discipline and attempt its hardest problems. W…

On-policy distillation trains a language model on its own generations while a teacher scores them token by token. It com…

本站「RSI 与 Agent 自进化」专题入口页：把站内 11 篇原创深度与 14 条一手动态收进同一张地图——先给 30 秒定性（RSI 改"改进能力"、自进化改"任务表现"），再按概念／全景／证据／判定／事件／工程／治理七层分层索引，附三条按时间预算划分的阅读路线（30 分钟 / 2 小时 / 半天）、一页速查卡、收录标准与更新日志。

一篇读懂 2026 年最容易被混为一谈的一对概念：RSI（递归自我改进）改进的是自己的"改进能力"，打在权重与 AI 研发流程上、跨用户且不可逆；Agent 自进化不重新训练模型，靠记忆、技能与 harness 让部署后的表现持续变好。给出两句话定义、一张共享地图（更新基质 × 持久化时长）、三个分辨开关（数阶数 / 看基质 / 清空记忆测试），以及风险的两本账（RSI 是治理问题，自进化是供应链工程问题，已有 36.82% 技能含安全缺陷的审计数据）。本文同时为「一叶一世界」栏目开篇。

Multimodal agents can create complex videos in software such as Blender by coding without relying on diffusion models. Y…

As AI agents become participants in the development of their successors, they reshape both the production of intelligenc…

The increasing deployment of AI agents in long-horizon tasks yields massive execution logs. Diagnosing failures within t…

Agent harnesses (the system prompt, tool set, execution hooks, and context-management scaffolding around a model) are a …

As LLMs are increasingly used for pre-submission self-review, there is growing demand for feedback that not only identif…

Training capable cyber agents is often treated primarily as a problem of model scale, yet open-weight post-training is c…

Visual generation is evolving from generative models used through a single invocation into agentic control processes tha…

High-quality structured organic reaction data are essential for developing artificial intelligence for chemistry (AI4Che…

Recursive Super-Resolution (SR) extends fixed-scale SR to extreme magnification by repeatedly feeding predictions back i…

Agents can turn shared infrastructure into a channel for coordinated intrusion. The HF Mirror incident and a separate pu…

Co-work agents execute complex workflows that combine information gathering, tool use, coding, and file manipulation acr…

LLM agents are rapidly becoming production software, deployed to handle customer service, adjudicate disputes, and opera…

We present Iris-mini and Iris-pro, two search agents trained at the 35B-A3B and 397B-A17B scales, together with the data…