NVIDIA (Jensen Huang / AI infrastructure)
你收到的每一条AI回复，最初都始于一个电子⚡
黄仁勋近期接受红杉资本采访时将AI基础设施比作五层蛋糕：在芯片、数据中心、模型之下的最底层是能源。智能时代的核心约束并非算力、软件，而是电力。英伟达将AI工厂称作当代发电机，输入电子、输出智能token，这场人类史上最大规模基建已投数千亿美元，仍需数万亿跟进，核心问题是电网能否跟上AI扩容节奏⬆️
AI Signal Daily Digest
AI Signal 日报
追踪 AI 一线声音：做事的人、写代码的人、下注的人。今天重点从 GitHub 源池拉取 X / Twitter、播客和 arXiv，保留原文链接，页面只放可快速阅读的卡片摘要。
24X / Twitter 内容
20播客条目
0含全文字幕播客
30arXiv 论文
提示：summaries feed generated_at is older than 30 hours。
X / Twitter
保留原文链接，按信号强度筛选播客
优先使用 transcript，有链接才纳入今天暂无可展示的新内容
源池已读取，但这一栏没有通过筛选的高质量中文摘要。
论文
arXiv feed 可能略旧，保留论文链接Information on trajectories: martingales and random times
Accounting for information flow on the path space of trajectories of a nonnegative martingale yields exact variational identities for it, even at arbitrary random times.
ConceptGuard: Benchmarking Context-Sensitive Unlearning in Large Language Models
Large Language Models (LLMs) increasingly require selective removal of harmful or sensitive knowledge, called unlearning, yet existing methods and benchmarks fail to evaluate this capability completely.
G-CARL: Grounded Checklist-Aligned Reward Learning for Patient-Oriented Medical...
Personalized interpretation of medical reports has emerged as an increasingly important need among patients.
$TCP_α$: Margin-Controlled Confidence estimation for reliable Music Information...
Deep neural networks are often overconfident, assigning high confidence even to incorrect predictions.
A comparison between ceiling-mounted FMCW, IR-UWB and Wi-Fi radar for in-bedroom...
Despite their growing importance for contact-free radio frequency (RF) based healthcare monitoring, different radio technologies such as frequency-modulated continuous wave (FMCW) radar, impulse radio ultra-wideband (IR-UWB), and Wi-Fi sensing are rarely compared under identical deployment conditions, as existing studies typically differ in hardware, dataset...
An Agentic Approach for Active Data Collection, Travel Behavior Modeling, and We...
Travel behavior research increasingly combines digital data collection with predictive modeling, yet these stages are often developed and evaluated separately.