AI 情报文章归档

This paper reviews control architectures for building heating, ventilation and air-conditioning (HVAC) systems, addressing the tension among energy demand, occupant comfort and equipment operability, and situating proportional-integral-der…

The problem: 30 minutes per application, 400 times a day On paper, broker back-office work...

Battery degradation remains a central challenge in the development and broad application of sustainable energy technologies. Accurate degradation prediction is challenging, as battery aging emerges from complex and heterogeneous interactio…

OpenAI 正着手把 ChatGPT 中的 Chat 和 Work 标签页合并，该体验将先向部分用户开放以收集反馈，再逐步推广。合并后用户可在同一处带入文件和插件，让 ChatGPT 建网站、做演示或代为执行网页操作，Codex 仍保留为桌面应用中的独立体验。ChatGPT 与 Codex 还将共用同一 token 额度池，部分用户可能因此更频繁地等待额度重置。

Part 4 of a series on a self-modifying multi-agent LLM system. Report and data:...

An inspectable technical breakdown of 10 open-source robotics and physical AI GitHub repositories solving training-free 3D occupancy, targetless calibration, 50Hz VLA latency, and humanoid memory.

LLM post-training via reinforcement learning has shown consistent improvements in accuracy at the cost of reducing behavioral coverage - a phenomenon known as sharpening that can stall progress on difficult tasks. Repeated sampling objecti…

Procedural modeling offers compact, editable, and reusable representations for architectural content, but building such models still depends heavily on manually authored grammars. We study image-based procedural building reconstruction fro…

Scaling depth is a key route to stronger large language models, but Pre-LN architectures often suffer from depth-wise information dilution, limiting the effective use of deep layers. While cross-layer connectivity has proven effective at m…

This weekend I had the opportunity to work with v0, Claude Projects, Claude Code, agent skills,...

Discord is expanding the web visibility of its Discoverable Servers through public Server Web Pages...

On-policy distillation (OPD) mitigates the student's exposure bias by optimizing on student-generated trajectories. However, student-generated prefixes may contain reasoning errors or follow patterns unfamiliar to the teacher, undermining …

Despite recent advances in CUAs, their development remains constrained by the limited diversity, controllability, and reliability of interaction data. Moreover, conventional optimization pipelines lack iterative feedback, while existing re…

TrendForce 报告称随着 NVIDIA Rubin 过渡开始，高端 GPU 交期延长 5 周至 45 周，超大规模客户将优先获得 Rubin，企业买家仍停留在现有 GPU 平台。

马斯克在 X 平台回应称，Grok Bot 每周额度消耗速度远超往常，该智能体服务成本相对于收入而言高到难以为继。Grok Bot 是 SpaceX 8 月推出的 AI 智能体，分从免费到每月 200 美元的多档套餐且均设每周限额，上月财报披露付费周活用户达 80 万。

Assessing regulatory compliance for high-risk AI systems requires systematic identification of technical gaps such as missing controls, in- adequate processes, or shallow evaluation of practices. Compliance officers typically admin- ister …

The Log That Told Everyone the Password: Redacting Secrets in n8n Execution Logs I found...

Unit tests and eval sets don't catch the failures that end up in front of a regulator. Here's a 30-scenario red-team harness you can run against your live bot tonight.

Active-learning Kriging often replaces candidate pools by continuous metaheuristic search. A pre-specified comparison sharing surrogate, population and stopping rule isolated this inner optimizer: five budget-matched continuous optimizers,…

Large language models (LLMs) are driving autonomous agents toward real-world environments, with the Web emerging as one of the most representative interaction scenarios. However, training Web agents with naive exploration remains challengi…

Large language models (LLMs) have introduced a generative approach to recommendation, producing item lists from textual representations of user histories and item information. However, this generative setting raises challenges concerning o…

Simon Willison 用最新 BTOS 数据重绘美国企业 AI 采用率图表，发现 250+ 人大公司在 2026 年 10 月新措辞下约 40% 回答使用 AI。

If you grew up in Nigeria, there is one sentence that can stop your heart in the middle of...

Accurate preoperative prediction of lung adenocarcinoma invasiveness is important for surgical planning and individualized treatment. However, overlapping CT appearances make it challenging to distinguish invasive adenocarcinoma (IAD) from…

Hey everyone 👋, This post is a little different from everything else I have written on this blog....

I've been building a small tool that turns one technical post into an X thread, a LinkedIn post, a...

We classify real and complex state-space models (SSMs) with linear transitions, distinguishing fixed-basis diagonal equivalence from input-output equivalence and tracking coefficient-conditioning windows under coordinate changes. We charac…

An experimental agent can succeed for the wrong reasons. Evaluations, however, often focus on the outcome, not the experiments, evidence, and inferences that produced it. We introduce LUCA, a configurable synthetic world for evaluating thi…

Complex documents such as scientific papers contain rich information in tables, figures, and equations; however, existing deep research (DR) agents typically reduce papers to OCR-extracted text. We instead ask whether vision-language model…

Theoretical limitations of transformers on state tracking---the ability to track information about entities or variables over long contexts---have motivated new recurrent language modeling (LM) architectures such as Gated DeltaNet (GDN). T…

Claim verification is the task of deciding whether a source text supports a claim, contradicts it, or lacks sufficient evidence. Natural Language Inference (NLI) models can judge whether a single sentence supports or contradicts a claim, b…

AI coding agents are increasing the volume and speed of software changes. This practical guide explains how to redesign CI feedback loops so agents can work faster without sacrificing review and safety.

Personal AI agents are increasingly capable of handling long-horizon tasks across applications, yet users often need to invest substantial effort in specifying goals, resolving ambiguity, and verifying outcomes. We argue that progress shou…

While Reinforcement Learning with Verifiable Rewards (RLVR) has significantly advanced multimodal reasoning, existing frameworks suffer from a critical "perception-reasoning gap." Due to an over-reliance on seemingly relevant visual tokens…

You add an AI feature to your support tool. It reads each incoming ticket, writes a summary, and can...

Last week I argued my cost tool should ship with an empty price book. Seven people told me how to make that less painful. Here is what I'm taking, and the one idea I'm saying no to.

Large language model (LLM) embeddings have been increasingly adopted in sequential recommendation to encode static item attributes and alleviate the limitations of item ID embeddings under sparse interactions. However, these embeddings typ…

SemiAnalysis 发布 GDPx 基准，测试 AI 智能体在 11 个领域的专家工作，任务来自 14 家专业数据伙伴。Claude Opus 5.5 平均仅 12% 居首，Gemini 4 Carbon 为 10.9%；GPT-6 Astra 在 AI 研究和材料科学任务上领先。

每次 AI 查询的能源成本在 3 到 4 年间下降了 1,000 倍到 100,000 倍 —— Sam Altman，于阿布扎比 ADIPEC 开幕式上。 “一方面，每次查询的能耗正以极其惊人的速度下降。我们正在实现巨大的效率提升。相比三四年前，我们的效率可能提高了数千倍乃至数十万倍，甚至更多。” ---- 完整视频见“DWS News”YouTube 频道，（链接在评论中）

You can't describe your own writing style. But you recognise it in a split second. How twelve messages on a table taught an AI agent to write to people in my voice.