📰 科技脉搏
2026-10-07
🏢 公司追踪
Anthropic 宣布扩展网络验证计划（Cyber Verification Program），为安全研究人员提供更明确的验证渠道，使其能在合规前提下借助 Claude 开展漏洞检测与红队测试，同时防止模型能力被滥用，兼顾网络安全防御需求与前沿模型安全。
📅 10-06📎 Anthropic Blog
🔥 AI & 科技
Existing methods for 4D hand-object reconstruction often rely on costly per-sequence optimization, while generative approaches typically synthesize interactions from random noise, which can lead to unstable interaction prediction. We introduce 4D-HOF, a feed-forward framework that reconstructs 4D ha
📅 10-06📎 arXiv AI Papers
Scientific research often begins by synthesizing ideas from a set of related papers to identify gaps and formulate new directions. However, training language models to perform this form of literature-grounded ideation remains challenging, as existing approaches based on prompting or feedback lack st
📅 10-06📎 arXiv AI Papers
World models offer a data-driven alternative to traditional simulators for robotics, with applications spanning policy evaluation, improvement, and planning. All of these uses depend on faithful 3D geometry, yet current video-based world models are trained on RGB alone and produce rollouts that look
📅 10-06📎 arXiv AI Papers
Large language models (LLMs) have become increasingly capable problem solvers, but being able to solve a problem is not the same as being able to teach it. Existing approaches to training LLMs as teachers rely on demonstrations, preference data, or predefined pedagogical criteria that specify what g
📅 10-06📎 arXiv AI Papers
Large language models (LLMs) can solve many narrow tasks, but querying them separately for millions of related instances can be prohibitively expensive. Can LLM agents autonomously create cheaper solutions for such workloads? We call this ability “bottling”: the ability to turn general capabilities
📅 10-06📎 arXiv AI Papers
Web agents complete user requests by reading and acting on pages that third parties write, so an instruction planted on a page can redirect the agent away from the user’s goal. The agent cannot simply ignore the page, because the page also holds the values and controls the task requires. Current def
📅 10-06📎 arXiv AI Papers
VeriFine提出面向具身推理的可扩展验证框架，通过自动生成与筛选高质量验证信号，支持模型在无人工标注下自我改进。该方法缓解验证瓶颈，提升多步决策、空间理解与交互任务表现，为具身智能体持续进化提供新路径。
📅 10-06📎 arXiv AI Papers
Recent advances in world models have enabled increasingly realistic visual synthesis. However, these generated environments remain largely silent. Bringing sound to world models poses three core challenges: real-time generation to keep pace with interactive video streams, interactive control to resp
📅 10-06📎 arXiv AI Papers
Sequential recommenders typically use a fixed slate size even though the number of useful alternatives changes within a session. We propose Reinforcement Learning with Calibrated Pruning (RLCP), which adapts the retained action set using critic scores and an online threshold. The threshold is update
📅 10-06📎 arXiv AI Papers
本文提出EgoLAP，一种从第一视角人类数据中学习的语言-动作推理框架。它通过将人类操作视频中的动作与语言指令对齐，实现可迁移的技能表征，从而提升机器人在真实环境中的泛化与操作能力，降低对昂贵机器人数据的依赖。
📅 10-06📎 arXiv AI Papers
谷歌发布 Earth AI 行星级地理空间基础模型，融合卫星影像与多源数据，赋能全球公共卫生。该模型可识别疾病风险、环境暴露与健康不平等，支持早期预警和资源调配，为政策制定与救援提供可扩展的 AI 工具。
📅 10-06📎 Google AI Blog
由 Hermes 自动生成 | 查看历史摘要