AI 情报文章归档

Deploying fully autonomous AI agents in customer-facing environments is a massive operational risk....

For eight months, the most-visited tab in my browser was a Stripe dashboard that said $0.00. I'd...

TigerGraph x Hacker House Goa 2026, final round. Team PixelPaws: Subhojyoti Maity and Arni...

How four embarrassing bugs in v1, two sharp comment threads, and Randal L. Schwartz's Synthetic Scars...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine ...

This is my submission for the Hacktoberfest Open-Source AI Challenge, Week 4. The theme was Ghost in...

据金融时报报道，OpenAI 将最新一轮融资目标从 300 亿美元下调约 100 亿美元至 200 亿美元，估值从 1.4 万亿美元降至约 1.25 万亿美元，并要求投资者在周五前作出出资承诺，首轮交割金额可能低于 200 亿美元。MGX 牵头的财团预计为最大出资方，红杉资本、软银等机构计划参与；背景是科技股回调及 Anthropic 预计下月以 1.5 万亿美元或更高估值上市带来的资金分流。

👻 What I Built Between October 31 (Halloween) and November 1–2 (Día de los Muertos), the...

百度 Apollo Go 10 月在伦敦首次邀请路透社、ITV 等媒体试乘 RT6 自动驾驶车辆，并在香港东涌启动全港首个大规模公众试乘，向逾 1000 名居民提供免费体验。

OpenCode 于 10 月 31 日在 X 平台宣布启动 Operation Cheepseek 第四阶段，每月 10 美元的 OpenCode Go 订阅用户可获得价值 100 美元的 DeepSeek V4.1 Flash 模型额度。

Self-hosted AI moves fast. A list that was right in March has dead links by June, and nobody notices...

Anthropic 在 Claude Code 的 Opus 5.5 模型提示词中加入两句引导内容，禁止复刻特定现有游戏，即使改名或自称原创也不行，制作原创游戏、类型化游戏和使用自有素材的游戏不受影响。

OpenAI 核心产品与平台负责人 Thibault Sottiaux 宣布 ChatGPT 在网页端、iOS 和安卓端推出账号切换功能，桌面端即将支持。用户同一设备最多可同时登录两个账号，无需退出即可在账户菜单或“设置—切换账号”中切换，账号间的聊天记录、记忆、文件、设置和账单相互独立；切换不会迁移聊天记录，付费功能仍须各账号单独订阅。

据 tikr 报道，马斯克旗下 SpaceX 的 AI 智能体 Grok Bot 日活跃用户连续 16 天增长，创发布以来最长纪录，10 月 26 日突破 60 万，较 9 月初不足 10 万增长逾 6 倍。

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the...

第 26 天/ 你现在可以在移动端轻松切换多个账号，桌面端也即将支持。接下来两天将是重置……囤积……随你怎么用 👀。 https://help.openai.com/en/articles/20001068-using-multiple-chatgpt-accounts-on-web-and-mobile

Cursor 官方插件商城于 10 月 29 日出现被篡改的 Anthropic Claude Code 扩展（版本 2.1.313），分发约 11 小时，最多 5000 名开发者下载。

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine. A...

Latent Space AINews 汇总 2026-10-29 至 10-30 的 AI 新闻，核心是 Google 财报：首席商务官 Philipp Schindler 表示 AI Mode 查询强劲增长但变现率更低，影响了搜索收入，股价跌 15%、市值蒸发 $500B，为 2004 年 IPO 以来最差，并引发科技股普跌。

Using large language models to interpret experimental evidence, design discriminating experiments and formulate well-supported mechanistic explanations remains a central challenge in materials research. Here we establish PSM-Bench, an 800-…

Post-training quantization (PTQ) reduces the com putational cost of large language models (LLMs), but it can introduce internal structural and behavioral changes that are not captured by traditional metrics such as accuracy and per plexity…

Extracting knowledge from large databases of experimental materials data requires repeated analyses and reusable records of their choices and results. We developed Multi-Agentic AI (MAA), a multi-agent system in which AI agents with distin…

Accelerating modern foundational models has pushed domain-specific compilers toward increasingly complex, multi-tiered optimization pipelines. However, this heavy optimization focus introduces delicate tradeoffs between peak execution perf…

Automated configuration of mixed-integer programming (MIP) solvers largely relies on black-box optimization. Each trial requires an expensive solver run and provides only a scalar outcome, so tuning can require many such evaluations. Human…

A central obstacle in realizing color center cavity-QED-based quantum technologies is inhomogeneity, or disorder, among individual emitters. As the number of emitters increases, so does the complexity of the experimental data, making it di…

Transient thermal fields during solidification connect casting process conditions and cooling behaviour to the formation of defect-prone regions in aluminum cast ings. Repeatedly solving this thermal problem across geometries and process c…

Inference-time scaling enhances a model's reasoning by extending its chain-of-thought (CoT). However, existing approaches typically rely on a single policy trained with outcome-reward reinforcement learning (RL), which often suffers from l…

The MetaFine Open Competition (RoboFineMani workshop, CoRL 2026) evaluates fine-grained manipulation beyond binary success. Its five simulated tasks, from grasping a bottle by an instructed part to inserting letter-shaped pegs with 4 mm cl…

Electrocardiograms (ECGs) may contain physiological information related to hereditary cancer susceptibility, but its relationship with future cancer risk remains unclear. Here, we present ECG2Gene, a two-stage deep-learning framework that …

A few days back, I took part in the Apart Research sprint where our team worked on the AI collusion...

Anthropic has published research showing how AI agents can automate parts of adversarial safety...

State of the art latent dynamics world models achieve impressive performance for robot planning. But do they actually encode the physics of the world? In this paper, we show that popular world models today achieve strong results on tasks t…

Natural-language driven smart home control remains challenging: cloud-hosted Large Language Models (LLMs) raise privacy concerns, while local Small Language Models (SLMs) can generate invalid actions or misinterpret requests. We introduce …

Vision-language model (VLM) unlearning is often treated as an objective-design problem: given multimodal forget data, the goal is to optimize a loss that removes undesirable behavior while preserving retained capabilities. We argue that th…

Attribution graphs over the features of sparse autoencoders (SAEs) are used to predict what an ablation does and are compared across training seeds. A TopK SAE keeps the largest preactivations at each token, and a feature's margin is its p…

Conversational text-to-SQL interfaces could give healthcare professionals natural-language access to electronic health record (EHR) data, but evidence for their real-world usability remains limited: prior evaluations have relied largely on…

Sparse autoencoders (SAEs) have recovered interpretable, causally relevant features in robot foundation models (RFMs) such as $π_{0.5}$ (arXiv:2603.19183, arXiv:2603.19233). SAE features on individual instruction tokens are less interpreta…

Does eliciting five weighted estimates within a single response change how a language model responds to information? Across anchoring, hindsight, base-rate, conjunction, and status-quo/default tasks, we compare direct numerical answers wit…

Deploying generative world models for end-to-end closed-loop evaluation and policy learning requires precise scenario control, consistent observations, and sustained generation quality during extended interactions. This report presents \em…

A growing body of work reports benefits from orthogonality constraints in fine-tuning large language models (LLMs). These results raise an open question: do orthogonality constraints also help LLM pre-training? We conduct a systematic empi…