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Web Worker-AI程序员都爱听

Web Worker

Web Worker 播客是几个AI程序员闲聊的中文音频播客节目。节目将围绕程序员领域来瞎聊,聊资讯、聊职场、聊技术选型...... 只要是和 Web 开发有关的都可以聊。

PublishesTwice monthlyEpisodes97Founded5 years ago
Language
ZH-CN
Number of ListenersCategory
Technology

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Artwork for Web Worker-AI程序员都爱听

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节目介绍

本期播客聚焦"AI 模型跑分榜单"这件事。

借 Claude Opus 4.7 发布放出的那张跑分表为切入点,三位主播辛宝、smart、还老师一起把 SWE-bench(含 Verified 与 Pro 三代演进)、Terminal-Bench、Humanity's Last Exam、GPQA、MMLU、OSWorld、ARC-AGI 等主流榜单挨个做了一轮"查漏补缺式"的科普,讲清楚每个榜单在考什么、为什么分数有高有低、以及厂商为何爱针对性刷分。横向对比了 GPT-5.4、Ge... more

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内容简介

AI时代,程序员还叫程序员吗?面试还问八股文吗?代码还需要人写吗?

这期节目聊了很多程序员当下最关心的问题:

• 新公司100%用AI写代码是什么体验?

• Builder和程序员有什么区别?

• 非前端背景的人用AI也能干前端的活吗?

• AI 搞不定的时候谁来兜底?

• 面试从考算法变成考什么了?

• Token管够是标配还是奢侈?

• 古法编程会不会被淘汰?

• AI创业浪潮像不像十年前的互联网?

• 用Cursor还是Claude Co... more

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节目简介

嗨,大家好!欢迎来到新一期的《Web Worker》播客 。这期我们不讲枯燥的代码,纯闲聊——这是一场属于咱们前端程序员的年度回顾局 。主播辛宝和“坐了两个小时”的 Smart 在现场,带大家一起翻翻2025年的“旧账” 。过去这一年,我们聊了前端技术的跌宕起伏,见证了 AI 带来的行业震撼,也走出去做了不少线下的跨界串台交流 。这不仅是节目的盘点,也是咱们打工人的年度记忆 。当然,面对已经到来的2026年,我们也有了新的期待,特别是如何深度融合 AI 工具流来彻底解放生产力 。

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节目简介

本期节目在中关村创业大街线下录制,迎来时隔一年多的重磅嘉宾开翼——刚从加拿大微软归来,带着 GitHub Copilot 团队的一线实战经验。四位技术人深度拆解大模型的工作原理:从 Temperature 参数如何影响创造力,到 Cache 机制为何能让 API 便宜这么多;从 RAG 的完整最佳实践,到为什么大公司做不好大模型;从 AI 时代"2000 行单文件"的新开发范式,到程序员未来 1-5 年的动荡期预判。这不是科普向的入门课,而是一线工程师用真金白银试出来的实战经验分享。... more

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Reviews

4.7 out of 5 stars from 30 ratings
  • 好推荐!!

    每个主播分享的都很到位,听着学到了很多,小小支持一下川哥

    Apple Podcasts
    5
    1287865
    China2 years ago
  • 建议关注下背景杂音

    建议up主上传前带降噪停下。我还以为耳机坏了,真的是杂音劝退

    Apple Podcasts
    4
    中老年痔友
    China4 years ago
  • 好评 从小宇宙过来继续收听

    好评 对于前端野路子过来,可以听听前端相关大佬闲聊,扩充见识,了解前端趣闻,因此前来支持辛宝大大长期更新哈

    Apple Podcasts
    5
    木子初秋
    China4 years ago
  • 好评,围绕前端程序员来聊,比较少见

    好评,围绕前端程序员来聊,比较少见

    Apple Podcasts
    5
    小伐童鞋
    China4 years ago

Chart Rankings

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Apple Podcasts
#150
China/Technology

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1. 科技乱炖
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How many episodes of Web Worker-AI程序员都爱听 are there?

Web Worker-AI程序员都爱听 launched 5 years ago and published 97 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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