🤖 AI 总结

【AI教育】

  1. Stanford CS336课程旨在通过让学生从头构建语言模型，解决研究人员与LLM技术细节脱节的问题。 [1]

【资源分享】

  1. 转发了Andrej Karpathy关于软件2.0、LLM技术传播以及编程实践的多个链接资源。 [2]

【AI范式变革】

  1. 高度评价Andrej Karpathy关于软件正在发生根本性变革的观点，认为LLM是一种新的计算机，可用英语进行编程。 [3]

【社交观察】

  1. 对脉脉同事圈的活跃表示赞叹，并认为匿名社区是畅所欲言的良好平台。 [4]


引用来源

  1. RT Percy Liang<br>Wrapped up Stanford CS336 (Language Models from Scratch), taught with an amazing team @tatsu_hashimoto @marcelroed @neilbband @rckpudi. Researchers are becoming detached from the technical details of how LMs work. In CS336, we try to fix that by having students build everything:

    来源: App | Web

  2. RT Andrej Karpathy<br>Re Some of the links:<br>- My slides as keynote: https://drive.google.com/file/d/1a0h1mkwfmV2PlekxDN8isMrDA5evc4wW/view?usp=sharing<br>- Software 2.0 blog post from 2017 https://karpathy.medium.com/software-2-0-a64152b37c35<br>- How LLMs flip the script on technology diffusion https://karpathy.bearblog.dev/power-to-the-people/<br>- Vibe coding MenuGen (retrospective) https://karpathy.bearblog.dev/vibe-coding-menugen/

    来源: App | Web

  3. another karpathy BANGER, absolutely.<div class="rsshub-quote"><br><br>Andrej Karpathy: Nice - my AI startup school talk is now up! Chapters:<br><br>0:00 Imo fair to say that software is changing quite fundamentally again. LLMs are a new kind of computer, and you program them *in English*. Hence I think they are well deserving of a major version upgrade in terms of…<br></div>

    来源: App | Web

  4. 今天的脉脉同事圈堪称是壮观了，畅所欲言还得是匿名社区。

    来源: App | Web


⚙️ 调试信息

点击展开 * **脚本版本:** `v4.8.0` * **执行ID:** `14dea89f` * **处理的Feed:** `Twitter_xxm459259` * **总结的博文数量:** 4 * **数据源 (Redis Key):** `summary_posts_Twitter_xxm459259` * **AI提供商列表:** `[gemini_key1, gemini_key2]` * **成功的AI模型:** `gemini-2.5-flash` * **AI调用耗时:** 8628ms * **使用的Prompt:** `twitter_summary_prompt` * **引用链接样式:** `app`