David的AI全景图
光华DavidDavid的开源学习笔记和自制狗粮
| Publishes | Twice weekly | Episodes | 132 | Founded | a year ago |
|---|---|---|---|---|---|
| Language |  ZH-CN | Number of Listeners | Category | Technology |
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大学毕业提交论文时，我连邮箱都没有。
很多年后，我却回到母校，劝一群外语专业的学弟学妹去做开发者。
这期节目来自一次两个半小时的母校分享。我回头整理了自己从俄语生、翻译、产品经理，到AI创业者和builder的几次转变，也试着回答一个对文科生越来越重要的问题：
当自然语言开始成为编程语言，我们曾经学过的文学、历史、文化和审美，究竟是过时的知识，还是新的创造力？
你会听到：
* 一个“文科生中的文科生”，为什么开始靠近技术
* 对于曾经做翻译模型的我们，The Bitter Lesson为什么如此... more
GPT‑5.6被定位为一个按能力与成本分层的模型家族，Sol、Terra、Luna在编码、知识工作、网络安全、科学与内部研究加速上整体优于 GPT‑5.5，并强调“更高的每美元性能”和“按需提升能力”。
摘要：
1. GPT‑5.6 家族正式包含三个型号：Sol 是旗舰，Terra 面向日常工作，Luna 是“最具成本效率”的型号
2. 在 Agents’ Last Exam 上，GPT‑5.6 Sol 得分 53.6，比 Claude Fable 5 高 13.1 分；即使在 medium r... more
Thariq 是 Anthropic 的产品与工程实践者，长期在一线用 Claude 做「代理式编码」和复杂工程协作。这是他分享的Fable 5经验：用 Claude Fable 5 做「代理式编码」时，真正的瓶颈不是模型，而是你有没有搞清楚自己的「未知（unknowns）」。作者把整个工作流程拆成前、中、后三个阶段，重点都围绕一件事：系统性地发现和澄清 unknowns，让模型在真实「领地」（代码、业务约束）里少踩坑，多发挥。
1. 模型的极限，不在于它能做什么，而在于你有没有看见自己的未知。... more
保罗·格雷厄姆关于"如何做出伟大工作"（How to do great work)的长文精华，核心论点是：选择你既有天赋又极度好奇的领域，通过持续努力到达知识前沿，发现别人忽视的裂缝并大胆探索，同时保持真诚、独立思考和迭代优化的工作方式，让好奇心驱动整个过程。
摘要：
* 1. "如果你问一个神谕做出伟大工作的秘诀，而神谕只回答一个词，我会赌是'好奇心'。"
* 2. "伟大的工作通常需要在一个问题上花费大多数人看来不合理的时间。你不能把时间当作成本，否则它会显得太高。"
* 3. "四个步骤：... more
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- 作者生成完自己不听一遍就发出来吗？
就是用 ai 合成语音读一篇 ai 写的文章。且不说断句问题，女声好几句话都没读完就切到男声，听感极差。
Apple Podcasts1TsssyyyyyyyChina3 months ago
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Apple Podcasts | #144 | China/Technology |
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David的AI全景图 launched a year ago and published 132 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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