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。

8X / Twitter 内容
28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
NVIDIA (Jensen Huang / AI infrastructure)X / Twitter

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⬆️

Cat Wu (Anthropic)X / Twitter

Cat Wu (Anthropic)

Claude Code现已支持在桌面应用内打开任意网站。Claude可使用你的生产应用、打开它发送给你的链接、浏览Twitter,甚至观看FIFA世界杯。

Sam AltmanX / Twitter

Sam Altman

我们已了解企业对AI成本的顾虑,5.6 sol在降低单位任务美元成本上取得巨大进展,terra和luna同样如此。

Sam AltmanX / Twitter

Sam Altman

GPT-5.6 现已成为微软 365 Copilot 的首选模型。

播客

优先使用 transcript,有链接才纳入
暂无精选

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
arXiv论文

Learning to Trace Seiberg Dualities

Dualities play an important role in establishing both microscopic and emergent phenomena in a wide range of physical systems.

arXiv论文

ReToken: One Token to Improve Vision-Language Models for Visual Retrieval

Long visual context poses a challenge for vision-language models: performance degrades as the number of distractors grows, and processing all tokens at once is computationally infeasible under GPU memory constraints.

arXiv论文

PAC-MAN: Perception-Aware CBF-RL for Whole-Body Safety in Humanoid Dodgeball

We present PAC-MAN, a perception-aware CBF-RL framework that couples control-barrier safety with deployment-realistic onboard sensing for whole-body humanoid dodgeball.

arXiv论文

AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis

Chemistry literature synthesis often requires assembling specific findings scattered across many publications, yet existing literature-search systems primarily return ranked document lists.

arXiv论文

AISPA: User-Centric System Prompt Auditing for Large Language Model Applications

System prompts are instructions configured by developers to govern the behaviors of foundation models in AI applications.

arXiv论文

OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Re...

Computer-using agents (CUAs) are advancing rapidly across the digital world.