AI 情报文章归档

我们如何改进 Grok @bot？你希望看到添加哪些功能？

The 2025--2026 AI market has seen a wave of stealth releases: frontier models launched anonymously on developer platforms under codenames. For their users, identity determines data-handling terms, supply-chain risk, and capability expectat…

BioMedRAG introduced retrieval-augmented generation with a learned chunk scorer for biomedical information extraction. However, it relies on fixed-size chunking which can fragment semantic evidence. We propose a configurable semantic chunk…

Ontology alignment (OA) has evolved through several methodological paradigms, ranging from lexical and structural aligners to knowledge graph embedding (KGE) models and, more recently, Large Language Model (LLM)-based approaches. Although …

Neural network mixed-effects models (NMMs) have gained traction by combining the strong representation and predictive power of artificial neural networks with the capacity of mixed-effects modeling to capture complex correlation structures…

Large language models (LLMs) offer promising clinical decision support but remain vulnerable to hallucinated facts, unsupported recommendations, and citation errors. We present DIASENTINEL, a fully on-premise multi-agent system for one-yea…

a16z 的 David George 在 Gavin Baker 的访谈中表示，西海岸 AI 发展势头迅猛，他试图寻找持看空观点的人，但无人能给出一个正在恶化的量化数据点。他称至少在 7 月和 8 月，找不到一个这样的人。

The motivation for this paper is the investigation of the trade-offs implicit in probabilistic models used in machine learning. Models are often used to make predictions in the form of conditional probabilities. However, a pair of conditio…

Research planning is the decisive capability of AI scientists. Yet a research plan admits no verifiable answer, so reinforcement learning lacks the environment it requires: tasks paired with a critic. Rubrics extracted from scientific pape…

The effect of Large Language Model (LLM) scale on ontology learning (OL) performance remains insufficiently characterized. We present a controlled evaluation of 13 models spanning dense and Mixture-of-Experts variants from the Qwen3.5 and …

如果你不想等待体验 HF 开源机器人的魔力，你应该入手一台 Reachy mini，发货比 microduck 快得多，而且同样有趣！https://store.pollen-robotics.com/

Google 提出 SKILL.state，用显式可变执行状态替代追加式对话历史，解决长程智能体运行变慢和上下文污染问题。模型每步仅读取不可变技能规范、当前结构化状态和最新观察，中间推理在生成有效状态更新后即被丢弃，提示词不再随运行增长。在多个数据集、模型和执行环境中，任务准确率提升，累计 token 消耗下降，且该抽象与架构无关，可移植到现有技能运行时。

WSJ：AI 正迫使 EY 改变其奖励员工的方式。 随着 AI 承担更多日常专业工作，EY 投入 1 亿美元支持人类判断力。 公司表示，员工因适应性、创新、判断力和 AI 实验可获得最高 500 美元的即时奖励，重大个人贡献可获 1 万至 2.5 万美元奖励。 值得注意的是，EY 的 AI 相关收入在 2025 财年增长了 30%。

Instagram 宣布将"AI 创作者"标签改为"AI 生成账号"标签，因用户常无法区分 AI 账号与真人。未标注的账号将限制触达和推荐，受影响账号可通过 Account Status 申诉；仅将 AI 作为工具的创作者无需标注，选择标注者保留完整触达。

Generative models have become central across science and industry, from image and text synthesis to the design of molecules and materials. Quantum generative models are considered one of the most promising applications for quantum computer…

一份 ChatGPT 工作工具与技能参考文档上线，汇总了相关工具与技能的使用说明。该参考面向开发者与进阶用户，便于快速查阅 ChatGPT 工作场景中的功能配置。文档以站点形式发布，供社区参考使用。

有点惊讶，我们并没有看到更多围绕AI能力构建的激进政治理念--就像早期大规模工业化曾是资本主义、共产主义和社会主义思想形成的主要推动力那样。

智能体群集化

Many important forms of human learning begin with a vague goal, such as "become a better physicist" or "improve at research." Learners must interpret the goal, identify capability gaps, decide how to learn, and determine whether they have …

Efficient evaluation changes the protocol used to support claims about model behavior, yet it is rarely tested whether those claims remain stable after the evaluation itself is made cheaper. We stress-test conclusion robustness in responsi…

I built a pixel-art office where ChatGPT, Gemini and Grok work as actual software engineers. Then I gave them access to real repositories.

Users of a deployed language model routinely encounter behaviours that testing almost never surfaces, since deployment puts the model through orders of magnitude more interactions than any evaluation can simulate. Automated auditors make t…

Industrial post-training is a brownfield regime. Teams inherit a deployed checkpoint and must land targeted improvements under fixed compute and mixture budgets without regressing the rest. The maintained artifact is increasingly dataware:…

Google 等机构提出 SKILL.state，用显式可变执行状态替代不断增长的对话历史，解决长程任务中智能体变慢和上下文污染问题。模型每步仅读取技能规范、当前状态和最新观测，中间推理在生成有效状态更新后即被丢弃。在多个数据集、模型和执行环境中，任务准确率提升，累计 token 消耗下降，且该抽象与架构无关，可移植到现有技能运行环境。

Why a machine must be allowed to be wrong I built meta-science for the All Things Agentic...

Grok Bots 将 LLM 引用数据转化为一个运营闭环： 找到 ChatGPT、Grok、Gemini 和 Perplexity 已经引用的页面，联系那些页面的控制者，然后重新运行相同的查询，看看可见度是否发生变化。 AI 搜索正在改变品牌被发现的方式。 你现在可以通过与 MCP 对话来在 ChatGPT 中排名。 这里的思路是将引用本身视为可观测性数据。

Large language models (LLMs) increasingly interact with external environments and accumulate substantial behavioral experience, yet existing agent benchmarks largely evaluate them as fixed policies. It therefore remains unclear whether an …

Accurate daily predictions of cold hardiness in woody plants are critical in regions where freezing temperatures can damage dormant buds and reduce seasonal yield. Existing biophysical, hybrid, and deep learning models have shown high pred…

Class-incremental learning (CIL) requires a model to incrementally learn tasks that contain new classes without accessing earlier training data while preserving the ability to recognize all seen classes. Recently, pretrained-model-based ap…

论文提出"记忆增强压缩"（Memory-Augmented Compression）方法，将可复用推理从生成阶段转移到提示词中，无需训练即可降低思维链成本。该方法将已解示例蒸馏为可复用推理记忆，按查询检索并注入，使部分计算从自回归解码转移到更并行的预填充阶段。

NVIDIA LPU 支持 3 种分离式推理： 1. Rubin Prefill + LPU Decode，实现最快交互性 2. Rubin Prefill + Rubin Decode Attention + LPU Decode FFN，面向曲线中段 3. Rubin Prefill + Rubin Decode Verification + LPU Drafter，面向曲线中左段 在低交互性场景下，纯 Rubin 仍占优势。期待 Rubin + LPU 在 Agent…

SpeceXAI 正在为 iOS 上的 Grok 开发库支持功能。 媒体、应用和文件都将随之而来，同时还有筛选功能。

Stability AI 创始人 Emad Mostaque 称，AI 能力提升将使人类经济寿命在两年内终结。他预测纯 AI 公司将碾压人力公司，初级岗位将最先被淘汰，因为人类团队会睡觉、犯错、情绪化，认知价值将转为负值。

仅上周，AI 开发者和他们的智能体就向 HF 上传了超过 4 PB 的模型和数据集！这相当于约 80 万部高清电影。 比以往任何时候都更是 AI 的存储与协作平台！

OpenCode 上排名前三的模型！未来的模型会更好 💪

The fastest way to make an AI-agent test flaky is to assert the final sentence. You expect: I'll...

欧盟依据《数字服务法》将 ChatGPT 指定为超大型在线搜索引擎，Reddit 和 Roblox 因月均欧盟用户超 4500 万被列为超大型在线平台，须在 4 个月内满足更严格监管要求。三者需开展系统性风险评估，覆盖非法内容、未成年人保护、基本权利、选举与公共安全等领域，并接受年度独立审计、向监管机构共享合规数据，以及向经认证的研究人员开放数据用于系统性风险研究。

A speaker encoder turns a few seconds of speech into a vector, and the distance between two vectors...

ChatGPT 宕机了。看看我们的朋友 Tibo 会提供什么补偿吧 ；）

今天，我们分享了关于 Solaris 的新研究，这是我们首个界面世界模型（Interface World Model）。 Solaris 是一种新型操作系统，能够实时逐帧生成交互式界面，无需任何代码。我们发现，在生成新界面时，Solaris 在结构相似性和信息保留方面均优于前沿大语言模型。点击下方链接了解更多信息并申请早期访问权限。