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#ai What, is this real? Look at the authors... https://www.researchgate.net/publication/401488012_Integrating_AI-Driven_Predictive_Analytics_for_Proactive_Cybersecurity_Risk_Mitigation_in_Large-Scale_IT_Program_Management

#ai 24 年决定转行的时候，一直犹豫不决，感觉也许是自己 overthinking，担心不做出改变会很快失业。再三思考以后，决定走一条深入了解实际问题本身的职业路线。当时想应该是一个很容易赢得的赛跑。 两年后的现在看来，甚至比之前预想的来的还要快，从创新，到工程，没有一项不被渗透的。 我统计了我们的研发部门对 AI 的使用，他们对于 AI 的依赖可以说已经无可替代了。很多人说 AI 创新的问题，现实逻辑其实是，很多时候组合创新很有效，而这个是 AI 很擅长的，比如一个领域没有出现过 Monte Carlo 这种方法，我有个同事就通过跟 AI 聊天发现了 Monte Carlo 并且有了代码实现，而他有了更多的时间来思考更高层次的问题。这是问题本身抽象，然后数学表示，然后解决数学问题，最后翻译回结论，这样的传统工作流需要很多的经验，但是 AI 加持下极大的降低了这条路经的门槛。 工程更是渗透地可怕，我身边没有哪个 sensor swe 不在 vibe coding 。vibe coding 三要素：定义、工程栈与设计哲学、测试和验证，只要其中一项足够熟悉，就可以堆出不错的屎山。像是 GitHub 的各种深度整合，工作流变成了提出 issue，交给 copilot，等待，review 代码，迭代。有很大的概率无需自己写任何代码。 到最后，知道问题的价值，了解技术栈与好的设计，懂得如何验证结果，不管是从创新层面，还是从工程层面，都在卷起来了。 我自己选择的路线是：做距离问题最近的管理+全栈，说实话也不知道是不是一条正确的路。最近我采访了我们一线的各种职位的员工，目的就是减少来告诉我什么是重要问题的中间人。而我有时间这样做也是因为 AI 的加持。 除了这些，能够在急速迭代中保持身心健康，不在迭代中迷失方向，也是很核心的。我经常听到同事朋友说迭代太快人有些 burnout 了。 感想触发： https://x.com/slow_developer/status/2020064994101014727

#ai The assistant axis: situating and stabilizing the character of large language models \ Anthropic https://www.anthropic.com/research/assistant-axis

#ai Even Linus is vibe coding now. I guess its his "very inefficient but entertaining" version of vibe coding Merge branch 'antigravity' · torvalds/AudioNoise@93a7256 https://github.com/torvalds/AudioNoise/commit/93a72563cba609a414297b558cb46ddd3ce9d6b5

#ai Ahmed, Ahmed, A. Feder Cooper, Sanmi Koyejo, and Percy Liang. 2026. “Extracting Books from Production Language Models.” arXiv [Cs.CL]. arXiv. https://doi.org/10.48550/arXiv.2601.02671.

#ai “做题家模型” Zhang, Alex L., Tim Kraska, and Omar Khattab. 2025. “Recursive Language Models.” arXiv [Cs.AI]. arXiv. https://doi.org/10.48550/arXiv.2512.24601.

#ai Miao, Tingjia, Jiawen Dai, Jingkun Liu, Jinxin Tan, Muhua Zhang, Wenkai Jin, Yuwen Du, et al. 2025. “PhysMaster: Building an Autonomous AI Physicist for Theoretical and Computational Physics Research.” arXiv [Cs.AI]. arXiv. https://doi.org/10.48550/arXiv.2512.19799.

#ai Well, "one engineer one month one million lines of code" -> "who the hell knows what's in there" -> "you need some AI coder architect". https://www.linkedin.com/posts/galenh_principal-software-engineer-coreai-microsoft-activity-7407863239289729024-WTzf

#ai It's just conflicting thoughts patched together. AI Is Changing How We Learn at Work https://hbr.org/2025/12/ai-is-changing-how-we-learn-at-work

#ai What GitHub imagined about everyone creating their own app is almost here. Github Spark is not that good, vercel ship 0 is also buggy. Cloude is doing a fairly good job here. The other day I needed a special checklist and instead of writing the code myself, I asked Gemini to do it and it was surprisingly good. --- Build interactive diagram tools | Claude | Claude https://www.claude.com/resources/use-cases/build-interactive-diagram-tools

#ai Interesting... Going from finite Eucleadian space to Hilbert space https://openreview.net/forum?id=1b7whO4SfY

#ai Yeah, just import antigravity. Google Antigravity https://antigravity.google/