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热搜
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公众号
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📌 reddit
亚利桑那州学生在毕业典礼上向谷歌前CEO埃里克·施密特喝倒彩
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谷歌前CEO埃里克·施密特因AI言论在毕业典礼上被嘘
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参议员Adam Schiff提议法案要求数据中心自行承担电力费用
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必胜客AI系统造成「连锁」问题并导致1亿美元损失,加盟商在诉讼中指控
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亚利桑那大学学生在毕业典礼上向埃里克·施密特的AI煽动言论喝倒彩
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被Kevin O'Leary点名的两位犹他州女性反击,发布嘲讽视频
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PlayStation总裁称单机游戏不会继续登陆PC
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Mozilla对英国监管机构:VPN是重要的隐私和安全工具
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Meta内部,一名工程师抗议笔记本监控的帖子正在疯传
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揭秘:Facebook页面用AI推广关于政治家的假新闻
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荷兰当局称Meta打击网购诈骗做得远远不够
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[P] Sub-JEPA:LeCun团队的LeWorldModel一个简单修复,持续提升性能
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[P] Witchcraft:基于SQLite的快速本地语义搜索
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[N] MLRC 2026开放提交——NeurIPS 2026官方track
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[P] 用CUDA内核重写模型推理:瓶颈不只是GEMM
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[D] 有人收到ICML 2026 GlobalSouthML workshop的决定了吗?
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陪审团裁定 Elon Musk 诉OpenAI案败诉,称其诉讼时效已过
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Linus Torvalds评论Linux维护者「无法管理」的AI漏洞报告
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Cloudflare发布对50多个自有仓库运行Anthropic的Mythos Preview后发现的问题
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今日讽刺:我们小创作者不能用AI,大公司却能用同样的AI封禁我们
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Microsoft Copilot Cowork现已推出——AI从聊天走向实际工作执行
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📌 reddit
为AI编码代理打造的本地优先上下文引擎——符号图+语义搜索,无云
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LLM对你最有用的不是写作或编码的事是什么?
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「只要加更多算力」这个AI推理论点越来越让人疲惫
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能用AI把minecraft mods从1.21.11更新到26.1.2吗?
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单模型AI图像检测在生产中失败。六模型集成实际上长什么样?
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OpenSpec + Claude Code规范驱动原型设计在线免费课程
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我用5种语言在6个AI系统上运行相同的研究提示词。结果不一样
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为什么GitHub在PR审查方面不提供更好的指标?
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学生津贴通常需要多久?如果学校没注册呢
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关于使用量计费准备的预算——Github Enterprise Cloud
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GitHub通知邮件的text/plain版本最近变得很糟糕
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📌 reddit
我构建了SprintHub:一个VS Code扩展,把GitHub Projects v2看板和高信号PR仪表盘直接带入编辑器
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想找人评估我的仓库结构,这是我在github的第一个仓库,收到了很多负面反馈甚至没人看文件
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📌 reddit
roast我的PR总结格式:我试图把AI生成的PR压缩成60秒风险评估
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别再手动管理仓库了!看这里如何在Google Antigravity让AI代理帮你做
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Python最好的现代DB层是什么?AI友好、简单、始终可用原生SQL转义?
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如果免费LLM不再发布,本地LLM会怎样?
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📌 reddit
llama.cpp MTP支持已合并——Qwen3.6 27B在Strix Halo上2.44倍、在RTX 3090主机上2.17倍
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📌 reddit
PSA:如果你的Llama.cpp几天没更新且MTP表现不好,更新llamacpp
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CPU上 Kokoro 82M vs Supertonic 3 TTS基准测试
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MTP (Multi-Token Prediction):AMD Strix Halo & Radeon 9700 AI Pro上2倍Token生成速度
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📌 reddit
21张GPU基准测试运行小型TTS模型 (显存峰值:5GB)
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Lemonade v10.5.1:Strix Halo的MTP + ROCm 7.13快速入门
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我构建了一个小CLI来检查仓库中的危险AI代理指令
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我构建了一个小CLI来检查仓库中的危险AI代理指令
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📌 reddit
内存专家认为由于中国大力投资,2027年下半年RAM价格将下跌
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📌 reddit
Built this over the past few weeks as part of a multilingual research project. Figured I'd share it here. Check it out!
\~9.8M web documents across 11 languages — hi, bn, ta, te, mr, gu, kn, ml, pa, ur, en. \~8.4B tokens. CC0 license.
🤗 [https://huggingface.co/datasets/AM0908/indic-hplt-v1](https://huggingface.co/datasets/AM0908/indic-hplt-v1)
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📌 reddit
AI systems are environmentally and socially embedded. They cannot thrive in a degraded human ecosystem. Therefore, the measurement and protection of human health (data integrity, environmental stability, and economic agency) is the primary engineering requirement for the next generation of AI.
Slightly rephrased, AI systems are only as good as the human data, institutions, and economic conditions they’re trained on and deployed into. Curious what others think — is this already being treated a
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📌 reddit
Have you completed the non code Postgraduate Program in AI Agents and Generative AI for Business Applications?
I’m considering enrollment later in the year and would like to speak with someone outside of the school who has completed a similar program or is currently enrolled in it or similar and has a background in non tech professional roles.
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📌 reddit
# Weekly Wednesday Thread: Advanced Questions 🐍
Dive deep into Python with our Advanced Questions thread! This space is reserved for questions about more advanced Python topics, frameworks, and best practices.
## How it Works:
1. **Ask Away**: Post your advanced Python questions here.
2. **Expert Insights**: Get answers from experienced developers.
3. **Resource Pool**: Share or discover tutorials, articles, and tips.
## Guidelines:
* This thread is for **advanced questions only**. Beginner
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📌 reddit
So far, I’ve tried Codex CLI, Claude Code, Gemini CLI, OpenCode, and recently, Pi with local models.
Pi is the leanest of them all, with just four tools: read, write, edit, and bash. Its system prompt is only under 2K tokens, and it's perfect for local models.
I've been trying out Qwen 27B-MXFP8 with it, and it's much better than I expected!
It doesn't have fancy bells and whistles like multi agents, but the only thing I’m missing is searching the web for documentation. I’m sure you can get i
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📌 reddit
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Hey everyone, I’m building a backend that analyzes long YouTube videos using an LLM.
Currently, my flow is a slow waterfall: `Download full audio -> Whisper -> LLM -> Return results`. For a 30-minute video, the user waits forever.
I want to pipeline this for real-time SSE streaming: `[Chunk Audio on the fly] -> [Whisper] -> [LLM] -> [Stream to UI]`
My questions for the data/backend engineers:
1. **Chunking & VAD:** What's the best way to chunk YouTube audio streams (e.g