AI 情报文章归档

Blast Radius 能在 rm -rf、git reset --hard 或 force push 等高风险 shell 命令执行前将其拦截。它会在侧边栏中展示该命令会触及的内容。

Token Weather 新增上下文窗口预测：显示已用多少，外加最近 12 轮的迷你走势图。

Claude 官方视频展示 Anthropic 设计师 Nate 如何使用 Claude Slides 制作演示文稿。他在散步时用手机录一段整理思路的语音备忘录，再与 Claude 一起把想法打磨成幻灯片，把时间花在想法本身而非排版上。

Grok Bot 主动为你提供有用的提醒和建议

Tavus 发布 Griffin，公司称之为首个 Human Interaction Model（HIM），可实时处理语音、表情、语调、手势和停顿并收发视频。

Gamma 首席 AI 官 Deeni Fatiha、Adobe 总监 Morgan Prygrocki 与 Salesforce 全球品牌营销的 Shane Tapp 共同探讨了创意 AI 从实验阶段走向生产阶段所带来的变化。

turbopuffer 宣布 v3 存储架构改版，放弃以 ANN 向量索引为主键的布局，把 ANN 降为二级索引，已实现 100% CI 通过。向量主索引造成存储放大、写放大和向量化受限三类问题，团队此前已把向量搜索做到单索引 100B+ 向量、200ms p99 读和 1k+ QPS，早期客户包括 Cursor 和 Notion；后续将公开基准测试，逐步推向生产。

Claude Code v2.1.287 新增 Claude Mods，允许插件修改更深层行为，并内置 You should know 插件，由侧边 agent 监控并提示你或 Claude 可能遗漏的问题，可用 /plugin enable cc-plugin-you-should-know@builtin 开启。

3D Gaussian avatars support fast rendering, however, their real-time animation is often challenged by the costly neural inference. We address this bottleneck and show that the animation of pretrained avatar models can be closely approximat…

LLMs are increasingly applied to cybersecurity workflows, where they are expected to translate analysts' intent into tool invocations. However, existing evaluations focus on knowledge-based assessments or end-to-end agentic tasks, and do n…

Building reliable robot capabilities across diverse tasks requires substantial human effort to develop and maintain skills, design rewards, and integrate perception with control. We present Reconstruct, Practice, Go Real (RPG), a framework…

Podonos 发布 Onepin，一个在配音交付前检查并修复每行语音的 AI 语音生产 Agent。它基于 400 万词发音词典核查人名、品牌名和技术词汇，按自然度、清晰度和字词准确度给每行打分，可在同一声音中修复单个错误词而无需重录，并支持 ElevenLabs、OpenAI、Google 等 30+ 语音服务，免费开始使用。

In diffusion transformers, a class label or a text prompt is embedded once, and the same condition is reused at every denoising step. We ask whether predicted embeddings can serve as this condition instead. Next-Embedding Predictive Autore…

What makes great scientists great? Even as AI systems start to make progress on open problems, scientists remain far ahead of them at sensing which prior idea, buried in an ever-growing archive of research, a new problem needs. To study th…

High-resolution 3D generation increasingly relies on voxel latents and multi-stage pipelines that first predict active structure and then synthesize local geometry. While effective, this design fragments continuous surfaces into many local…

We show that multimodal models possess strong reasoning abilities and that an appropriate harness can unlock their potential to solve tasks across diverse interactive environments. We introduce VISTA, a visual harness that gives a general-…

Full-parameter fine-tuning of large language models (LLMs) incurs substantial optimizer state memory overhead, limiting the model sizes that fit on modern GPUs. Existing approaches either compress optimizer state, abandon first-order gradi…

Several state-of-the-art methods for online reinforcement learning in continuous control improve policies using action gradients of a learned critic. However, critics are typically trained to predict returns, and accurate value predictions…

Discrete diffusion language models offer a compelling alternative to autoregressive generation for tasks demanding bidirectional reasoning and global constraint satisfaction. Yet they share a structural bottleneck: when decoding in paralle…

The generalized Schrödinger bridge on a graph moves mass between two distributions while charging a cost for the states visited. It has been approached by learning the rates of a controlled continuous-time Markov chain, with a temporal-dif…

While Large Language Models (LLMs) have demonstrated striking capabilities on frontier mathematical problems, it remains unclear whether they possess the structural mathematical understanding underlying their solutions. In this paper, we t…

Step-size selection remains a central challenge in large-scale neural network optimization; conservative steps slow convergence, while aggressive steps can destabilize it. We combine \textbf{Z}ero-and-\textbf{F}irst-\textbf{O}rder optimiza…

试试 Grok @Bot！

Intrinsically disordered protein regions (IDRs) play central roles in cellular processes such as transcriptional regulation, signal transduction, and subcellular localization, yet their functional design remains challenging. Structure-base…

Distribution Matching Distillation (DMD) trains a few-step student from the difference between separately estimated target and student scores, so it must keep an auxiliary diffusion model fitted to the student's evolving distribution at ex…

Molecular learning models are strongly shaped by their underlying representations. Yet standard sequential and graph formalisms struggle to explicitly encode higher-order topology, such as ring systems and recurring motifs. Existing higher…

Looped Transformers achieve parameter efficiency by repeatedly executing a shared block across recurrent loops. Each loop yields an intermediate representation decodable for the same next token, yet standard decoding discards earlier state…

Quasi-Newton (QN) methods have long been among the most effective methods for large-scale unconstrained convex optimization. Two obstacles have limited their use in deep learning: non-convexity and enormous parameter sizes. We introduce So…

Current controllable video generation systems often rely on 2D motion trajectories or sparse drag signals for object motion. These controls are ambiguous because the same 2D trajectory can correspond to different 3D motions, especially whe…

Multi-teacher on-policy distillation (MOPD) aims to combine the strengths of RL-trained teachers in a single student, but how teacher signals affect parameter changes remains underexplored. We study Qwen3-1.7B with four domain teachers tra…

这 WiFi 真是绝了 （引用推文 @OpenAIDevs：dots 演示。 现在……WiFi 更好了。）

Databricks 为 Lakebase Postgres 推出基于分支的恢复机制，将恢复时间从数小时降至秒级，即使数据库规模达 100 TB。该架构将计算与存储解耦，数据库历史已存于对象存储中可直接引用，恢复只需在指定时间戳创建分支这一元数据操作，无需拷贝数据或重放 WAL。

NVIDIA 新论文提出，与其给 AI 智能体更多选项，不如给它一个更好的裁判：让小型智能体每步生成 8 个候选命令，再由裁判模型挑选执行。用前沿强模型当裁判时，成功率从 50% 提升到 68%，且无需重新训练；若由小模型自评，提升则小得多。

营销公司 Graphite 对前沿模型写作习惯的研究发现，共 13000 个短语在 AI 内容中出现频率至少是人类内容的两倍。

“Upgrade the authentication library safely” sounds like a task. For an agent, it is a bundle of...

Tavus 发布 Griffin，称其为首个通过视频图灵测试的人类交互模型（HIM），48% 与之实时对话的人认为它是真人，此前系统通过率低于 3%。Griffin 在 NVIDIA 全双工 AI 视频基准上得 3.83 分（真人为 3.92），次优系统为 2.80 分；它将听、想、说和面部动画整合在单一系统中，可在对话者仍在说话时读取表情、语气并实时反应。

今天我们推出 PROWL-2，智能体及其世界模型通过递归学习实现共同提升。 智能体暴露想象中存在的错误，修复这些错误又能促成进一步的学习。 我们相信，这种开放式学习是迈向超级智能的关键一步。

按需构建，简单直接。 你获得能更好满足自身需求的自定义工具，无需在市场上购买通用方案。 这就是自驱动公司的愿景。 看看我们在 Replit 是如何实现的：https://replit.com/blog/self-driving-company

Grok Bot 现在无需你开口，就能主动给出帮助建议。

你的主 Bot 会发现它可以帮你分担的工作，并主动提出接手。 它将在接下来几小时内逐步推送，而且建议不会计入你的用量。 下载 Grok Bot：https://x.ai/bot