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论文研究普通
WNet: Discrete Wavelets Transform for Efficient Token Mixing
In a Transformer, token mixing is the step that lets each token draw information from other tokens, and it dominates the cost of encoding long sequences. Self-attention does this mixing very well: every token weighs every other token by co…
信息来源:arXiv
论文研究普通
Learning to Clarify Underspecified Intents Under Limited Interaction
AI assistants receive requests that leave out information needed for a good outcome, for example about users' preferences or goals. They must then either speculate or ask for more information before proceeding. We reconceptualize this as a…
信息来源:arXiv
产品发布 / 更新普通
Perplexity Computer 推出 Visualize 内联可视化功能
Perplexity CEO Aravind Srinivas 宣布 Computer 新增 Visualize 功能,用户以 Visualize 开头提问即可在对话中获得带教育和交互组件及动画的内联可视化内容。官方建议在 Standard 或 High effort 模式下体验。
信息来源:X:Aravind Srinivas(Perplexity CEO) (@AravSrinivas)
教程 / 实战普通
我们的 AI 助产士:GPT-4 如何帮一对夫妇找出六年未确诊的子宫肌瘤
Drew Housman 在 Astral Codexten 发表客座文章,讲述夫妇二人在经历 6 年不明原因不孕、多次胚胎移植失败后,用 GPT-4 扮演 Hollywood 医疗剧医生 Dr. Reid 辅助分析扫描和激素数据。AI 建议做 MRI,查出一个此前被漏诊的 6 厘米黏膜下子宫肌瘤,切除后妻子自然受孕。文章同时讨论了当下对 AI 的负面舆论,并提到孩子取名 Reed。
信息来源:Hacker News:AI 热帖 · GPT
论文研究普通
Towards Automatically Pruning Logging Code with Coding Agents: How Far Are We?
Logging code supports debugging, monitoring, and software maintenance, but excessive logging can add noise, impose runtime overhead, and obscure diagnostic information. While prior research has extensively studied logging code generation a…
信息来源:arXiv
论文研究普通
GPU-Accelerated Bregman Douglas-Rachford Splitting for Discrete Optimal Transport
We present GPU-accelerated Bregman Douglas--Rachford splitting algorithm (BDRS) for discrete optimal transport problem in three input formats: an explicit cost matrix, a point cloud with a ground cost between them, and a separable cost on …
信息来源:arXiv
观点 / 方法普通
SemiAnalysis 评 Vultr:ClusterMAX 2.0 仅获参与奖
SemiAnalysis 在 ClusterMAX 2.0 中将 Vultr 评为"参与奖(低于铜级)",指出其自称"全球最大私营云基础设施公司"和"全球最大私营超大规模厂商"均不属实。Vultr 拥有现代 GB300 和 MI355X,并宣称在俄亥俄州有 50 MW 的 AMD 站点,但其集群交付时存在若干基础性错误,近一年后问题依旧。
信息来源:X:SemiAnalysis (@SemiAnalysis_)
观点 / 方法普通
Sam Altman 称将 AI 神化是"真实的安全问题",不再提"天空中的魔法智能"
OpenAI CEO Sam Altman 公开反对将 AI 模型与宗教类比,称人们把"宗教力量或对人类判断力的屈服"归于 AI 模型让他"非常不安",并称这是"真实的安全问题"。
信息来源:The Decoder:AI News(RSS) · OpenAI
论文研究普通
Organising Trajectory Evidence for Language-Model Agent Assurance: Fragments, Methods, and the Residual
Methods for assessing language-model agents include rule checkers over logs, analyses of skill coverage and composition, support checkers, prefix monitors, execution gates, and rare-event estimators. Each observes a different part of a run…
信息来源:arXiv
论文研究普通
Localized Operator Learning with Adaptive Partition-of-Unity Mixture-of-Expert Networks
Operator learning methods such as DeepONets and FNOs often struggle with PDE families featuring sharp interfaces, heterogeneous coefficients, and localized multiscale structures. We introduce a partition-of-unity (POU) mixture-of-experts f…
信息来源:arXiv
教程 / 实战普通
I Realized I Couldn't Trust AI With My Research
This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content ...
信息来源:DEV Community
行业动态普通
AWS CEO Matt Garman 回应数据中心争议:不再与政府机构签 NDA
AWS CEO Matt Garman 表示,公司已停止在与政府机构合作建设数据中心时使用保密协议(NDA)。他同时反驳数据中心耗水过多、推高电价、污染严重、无益社区四大说法,称直接数据中心用水仅占美国工业用水 0.5%,备用发电机 99.9% 时间闲置,并称过去三年 Amazon 已向有数据中心布局的美国社区投入超 10 亿美元。
信息来源:TechCrunch:AI(RSS)
模型发布 / 更新普通
Aleph Alpha 开源 Kolibri 模型,78B 参数、Apache 2.0 权重开放
Cohere 转发 Aleph Alpha 发布的 Kolibri 模型:78B 参数、3.46B 激活参数、最高 1M tokens 上下文,欧洲打造。模型权重以 Apache 2.0 许可开放,可在自有硬件上运行。
信息来源:X:Cohere(@cohere)
论文研究普通
VoCa: Designing Speech-Canvas Interaction for Voice-Based Conversational Agents
People write and sketch while speaking to explain, organize, and develop content together. Inspired by these practices, we investigate how voice agents can use a canvas alongside speech in multi-turn conversations with users. We conducted …
信息来源:arXiv
论文研究普通
Neurodiversity-Aware Multimodal Affective Computing for Neurodevelopmental Assessment: From Norm-Referenced Classification to Context-Sensitive Decision Support
Automated neurodevelopmental assessment increasingly combines computer vision, speech, eye tracking, physiology, and machine learning, yet multimodality and discrimination do not establish construct validity, clinical usefulness, or approp…
信息来源:arXiv
论文研究普通
Learning Discriminative Geometry for Drifting Models
Recently proposed Drifting Models shift iterative distribution refinement from inference to training, enabling effective one-step generation. However, their performance on complex image datasets depends strongly on the representation used …
信息来源:arXiv
模型发布 / 更新普通
Aleph Alpha 发布 78B 参数 MoE 开源模型 Kolibri,支持 1M 上下文并以 Apache 2.0 开放权重
德国 AI 实验室 Aleph Alpha 发布开源权重模型 Kolibri,78B 参数、激活 3.46B 的 MoE 架构,支持最高 1M token 上下文,采用 Apache 2.0 许可。
信息来源:X:Testing Catalog (@testingcatalog)
教程 / 实战普通
Nudging with Questions: Why Telling Your AI What to Fix Triggers an Apology Death Spiral (And How to Advance Juniors)
What I learned mentoring juniors for four decades seems to apply to today's agentic coding: why barking code fixes triggers sycophantic panic, and how Socratic questions yield 95%+ first-pass success.
信息来源:DEV Community
论文研究普通
Not Self-Decidable: LLMs Cannot Draw the Boundary of What an Agent Verifier Can Check
A verifier for an agent faces rules of two kinds: the ones a fixed check can settle and the ones that require a judge. A team that derives its own checks fixes that split up front. Where the requirements come from outside, as in finance, h…
信息来源:arXiv
教程 / 实战普通
I shipped an agent that asks Sanity Context what it is allowed to say
An agent with no arithmetic authority: Sanity Context supplies the candidate set, a typed judgment model classifies against it, and a deterministic engine owns every number.
信息来源:DEV Community
观点 / 方法普通
C++ Insights:用编译器视角审视 C++ 源代码的 Clang 工具
C++ Insights 是一款基于 Clang 的源码到源码转换工具,可将编译器在幕后自动生成的代码显式呈现出来,例如自动生成的特殊成员函数、Derived 到 Base 的向上转型、lambda、range-based for 循环和 auto 的类型推导。该工具已上线 cppinsights.io,目前仍在开发对 C++20 等新标准的支持。
信息来源:Hacker News 热门(buzzing.cc 中文翻译)
论文研究普通
Score-Calibrated Flow for Sampling from Unnormalized Densities with Applications to Generative Online Reinforcement Learning
Diffusion and flow models provide expressive policy classes for online reinforcement learning (RL), enabling multimodal behaviors and improved performance. However, training these policies remains challenging: the critic specifies the desi…
信息来源:arXiv
论文研究普通
Low-Fidelity FDM Spectral Guidance for Neural Eigenvalue Solvers
Operator eigenvalue problems appear throughout science. Classical methods usually discretize the operator into a matrix and then solve the resulting matrix eigenvalue problem. This works well in low dimensions, but fine grids quickly becom…
信息来源:arXiv
论文研究普通
Penumbra: Sample-Efficient Adversarial Search for Regulatory Obligations
Agents are entering finance, healthcare and law, sectors where a violation leaves no lexical signature and carries real penalties. Whether an omission is material, or a disclosure sufficient, depends on what the response left out. Probing …
信息来源:arXiv
教程 / 实战普通
Copilot Studio over thousands of documents: answer only when a source supports it
A Copilot Studio agent connected to a large document library almost always answers. The problem is...
信息来源:DEV Community
行业动态普通
OpenClaw 安卓应用审核卡壳一周
我认识 Google 的人能帮上忙吗?OpenClaw 的 Android 应用现在卡在审核里已经超过一周了。
信息来源:X:Peter Steinberger (@steipete)
论文研究普通
RAGStress: A controlled benchmark for evaluating retrieval-augmented generation under knowledge-base degradation
Retrieval-Augmented Generation (RAG) is typically evaluated under the implicit assumption that the underlying knowledge base (KB) is clean, leaving the behaviour of RAG systems under realistic KB degradation poorly characterised. We introd…
信息来源:arXiv
教程 / 实战普通
I Made Spider-Man Swing Without Animating a Single Frame
Hello, I'm Maneshwar, and I'm building LiveReview — a blast-radius aware AI code review built for...
信息来源:DEV Community
教程 / 实战普通
NutriScan.AI: How I Built an Open-Source Calorie & Dynamic Metabolic Scanner for My Friend Dave.
This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend What I...
信息来源:DEV Community
行业动态普通
Pop!_OS 禁止在其大部分代码库中使用 AI 生成代码
Pop!_OS 宣布禁止在其大部分代码库中提交 AI 生成代码。该限制覆盖项目的主要代码部分,具体范围与执行细则未在原文中进一步说明。
信息来源:Hacker News:AI 热帖
教程 / 实战普通
Your Agent Timed Out. Did the Action Still Happen?
An agent submits a request to publish a document. The server commits it. The response disappears...
信息来源:DEV Community
观点 / 方法普通
OpenAI 征集 Codex 缺失功能
Codex 里缺了什么功能是你希望我们有的?
信息来源:X:Tibo (@thsottiaux) · OpenAI
行业动态普通
Nathan Lambert 质疑前沿 AI 节奏控制可行性
我认为从原则上讲,控制前沿发展节奏作为一个理念是好的,但作为一件你实际能做成的事,它一出生就死了。我们要怎么决定——决定我们能在哪些基准上改进?谁来参与? 如果我们停止推进“能力”,我们会做大量关于集群(swarms)+ 效率的研究,而这会带来其他风险。 它分散了注意力,让人忽视了一个事实:AI 风险中有很大一部分其实只是来自把我们已有的东西扩散出去,而我们应该投资于 preparedness、推动实验室更加谨慎等等。 来改变我的想法?
信息来源:X:Nathan Lambert (@natolambert)
产品发布 / 更新普通
Show HN:Janus——用 Go 单二进制在 AMD/Intel/NVIDIA 上通过 Vulkan 运行 GGUF 模型
Janus 是一个 Go 单二进制本地 LLM 服务器,通过 Vulkan 在 AMD/Intel/NVIDIA GPU 或 CPU 上运行 .gguf 模型,并暴露 OpenAI 兼容 API,无需 Python、Docker 或 Ollama。
信息来源:Hacker News 热门(buzzing.cc 中文翻译) · OpenAI / NVIDIA / Ollama
教程 / 实战普通
Every AI-agent enforcement story this week is really about missing evidence
Every AI-agent enforcement story this week is really about missing evidence I'm an...
信息来源:DEV Community
教程 / 实战普通
Claude Code mods: Minesweeper and testkit
My own harness, the tooling I run around Claude Code, comes with a custom trust score. That trust...
信息来源:DEV Community · Claude
行业动态普通
Nathan Lambert 批评 AI 生态对 Trillium Labs 发布的敌意反应
Nathan Lambert 发文称,许多人以 "you're evil" 和 "shame on you" 回应 Trillium Labs 发布开放前沿 AI 科学非营利组织的消息,是 AI 生态的重大失败。他表示将努力改变这种 norms,认为即使困难重重也存在积极的前进路径。
信息来源:X:Nathan Lambert (@natolambert)
教程 / 实战普通
Stop pasting API docs into AI coding agents: serve the spec over MCP
Watch an engineer use a coding agent against an unfamiliar API and you see the same ritual every...
信息来源:DEV Community
行业动态普通
Higgsfield 创作者合作计划开放申请
如果你用 AI 做创作,我们想知道你的名字。 隆重推出 Higgsfield 创作者合作计划。 > 获得每月 Higgsfield 套餐 > 为更大项目提供额外积分 > 抢先体验新模型 > 加入专属合作伙伴社区 > 联盟收益及与我们团队的直接联系 立即申请。
信息来源:X:Higgsfield AI (@higgsfield)
教程 / 实战普通
Cheaper to Write, More Expensive to Trust
A friend messaged me lately: Where do you see IT going? Any new patterns in the post-AI era? My...
信息来源:DEV Community