Briefings:
-
Passkeys Are Not a Trap- Hacker News
-
Apple Keynote now showing ads in its UI- Hacker News
-
Eric Binnion has died
- Hacker News
-
The Aaronson Oracle- Hacker News
-
Smart people don't think others are stupid- Hacker News
-
超越语言的模型构建:Logical Intelligence- ByteByteGo
-
为什么软件边界对开发者很重要- ByteByteGo
-
Netflix 如何教会 LLM 推荐电影- ByteByteGo
-
为什么LLM即使在你错误时也同意你- ByteByteGo
-
LLM盲点:为什么模型会忘记提示中间的信息- ByteByteGo
-
AI评估课程报名3天后截止- ByteByteGo
Briefings:
-
AI与专业知识:更好的工作是否意味着更好的员工?- Google AI Blog
-
解锁Google Earth AI助力全球公共卫生- Google AI Blog
-
代理隐私与安全挑战- Google AI Blog
-
谷歌新一代基于TEE的联邦学习- Google AI Blog
-
扩散控制器:统一AI图像生成- Google AI Blog
-
AI视频联合导演:自动化长视频生成- Google AI Blog
-
MilleMiglia:中程物流生成器- Google AI Blog
-
教师利用生成式UI创建学习互动工具- Google AI Blog
-
检索即训练:AI搜索速度提升- Google AI Blog
-
ToolGrad:高效的工具使用数据集生成- Google AI Blog
-
The EU’s next chapter in AI is agentic- OpenAI Blog
-
Sophos借助OpenAI将调查时间缩短96%- OpenAI Blog
-
Asana借助GPT-6.1 Sol将浏览器代理成本降低76倍- OpenAI Blog
-
Oracle借助AI将数天工作缩短至数分钟- OpenAI Blog
-
Pollo AI 将创意变为营销活动- OpenAI Blog
-
LegalOn将Codex成本减半,开发速度不减- OpenAI Blog
-
OpenAI破获借助AI运作的“虚假前台”行动- OpenAI Blog
-
帮助青少年学习、规划并塑造AI的未来- OpenAI Blog
-
DeepMind与新加坡推出设备端诈骗检测工具
- Google DeepMind Blog
-
Gemini 4 Argon: our next era of frontier intelligence- Google DeepMind Blog
-
SynthID Bio:为AI生成的蛋白质添加水印
- Google DeepMind Blog
-
Gemini 3.8 Live 推出实时虚拟形象功能- Google DeepMind Blog
-
Google DeepMind 推出私有 AI 计算内存技术
- Google DeepMind Blog
-
谷歌首次发布Gemini 3.8富有表现力的文本转语音模型- Google DeepMind Blog
-
Google DeepMind 推出 WeatherNext 3 AI 模型- Google DeepMind Blog
-
谷歌推出Fairwind计划以实施主动网络防御- Google DeepMind Blog
-
Google DeepMind 推出 Gemini 3.8 Flash 和 3.8 Flash Cyber 模型- Google DeepMind Blog
-
谷歌DeepMind为Gemini推出代理式视频理解- Google DeepMind Blog
-
Does Stacking Beat Your Best Model?
- Towards Data Science
-
How Do Word Embeddings Capture Relationships Between Words?
- Towards Data Science
-
Voting on Features: Federated Feature Selection Without Sharing Data- Towards Data Science
-
A Scaffold at the Gate: Building AI Applications That Can Evolve- Towards Data Science
-
Your Agent Doesn't Need More Freedom- Towards Data Science
-
Three Samplers, One Posterior: NUTS vs. Emcee vs. Nested Sampling- Towards Data Science
-
Coding Agents Can Solve the Task — But How Much Work Did They Waste?- Towards Data Science
-
How to Leverage NLP for Product Data Science- Towards Data Science
-
我们在2016年就设计过AI智能体,当时我们称之为分析系统- Towards Data Science
-
AI图像评判器未能通过简单测试- Towards Data Science
-
Open models have real benefits. Do they outweigh the risks?- MIT Technology Review AI
-
AI labs are buying data from dead startups to train their models- MIT Technology Review AI
-
我们对AI说“不”的能力寄予了过高的信任- MIT Technology Review AI
-
AI设计的病毒:与Samuel King的对话- MIT Technology Review AI
-
人形机器人面临现实检验,尽管炒作不断- MIT Technology Review AI
-
AVEVA 的 Arti Garg 谈安全工业 AI 部署- MIT Technology Review AI
-
将AI代理与企业知识连接起来- MIT Technology Review AI
-
预测分析与智能体AI时代相遇- MIT Technology Review AI
-
人们为何讨厌AI却又离不开它- MIT Technology Review AI
-
企业AI:代理转变解析- MIT Technology Review AI