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。
6X / Twitter 内容
11播客条目
0含全文字幕播客
30arXiv 论文
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X / Twitter
保留原文链接，按信号强度筛选播客
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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The Many Senses of Visual Similarity: A Text-Prompted Image Perceptual Metric
Human visual similarity judgments are context-dependent.
Patch Policy: Efficient Embodied Control via Dense Visual Representations
Pretrained dense visual features from Vision Transformers (ViTs) are powerful yet have been underutilized in robot learning.
Automated Discovery Has No Universally Superior Harness
Autonomous discovery systems such as OpenEvolve and TTT-Discover are often used as general-purpose harnesses.
It's Not What You Say, It's How You Say It: Evaluating LLM Responses to Expressi...
本条暂无可读中文摘要，请通过下方链接查看原文。
Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in...
Modern vision-language models (VLMs) have significantly improved image generation and editing capabilities, making pixel-level image tampering detection increasingly important yet challenging under cross-model and out-of-distribution shifts.
Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned...
To test how correct logical judgments respond to learned context, we prepend a soft prefix to an exactly labeled syllogistic reasoning benchmark while keeping the model fixed.