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20251203: anthropic blog: 人工智能如何改变 Anthropic 的工作
Survey data（调查数据）
• 最常用场景：调试代码与理解代码库
• Claude使用率达60%，生产力提升50%（较去年翻倍）
• 27%的AI辅助工作此前无法完成（如项目扩容、探索性工作）
• 仅0-20%工作可完全委托，需主动监督验证
Qualitative interviews（定性访谈）
• 形成AI委托直觉，明确可委托任务类型
• 技能范围拓宽，部分深层技能面临退化
• 对编码工艺的态度分化（侧重结果vs怀念手动编码）
• 职场社交动态改变，同事协作与 mentorship 减少
• 职业向AI系统管理转型，长期职业轨迹存疑
Claude Code usage trends（Claude Code使用趋势）
• 自主处理更复杂任务，人工干预频次降低
• 8.6%任务为“小问题修复”，累计提升效率
• 全员向“全栈”发展，各团队用AI补充核心专业知识
Survey data（调查数据）
• 最常用场景：调试代码与理解代码库
• Claude使用率达60%，生产力提升50%（较去年翻倍）
• 27%的AI辅助工作此前无法完成（如项目扩容、探索性工作）
• 仅0-20%工作可完全委托，需主动监督验证
Qualitative interviews（定性访谈）
• 形成AI委托直觉，明确可委托任务类型
• 技能范围拓宽，部分深层技能面临退化
• 对编码工艺的态度分化（侧重结果vs怀念手动编码）
• 职场社交动态改变，同事协作与 mentorship 减少
• 职业向AI系统管理转型，长期职业轨迹存疑
Claude Code usage trends（Claude Code使用趋势）
• 自主处理更复杂任务，人工干预频次降低
• 8.6%任务为“小问题修复”，累计提升效率
• 全员向“全栈”发展，各团队用AI补充核心专业知识
How AI Is Transforming Work at Anthropic
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20251113 融资：Cursor在D轮融资中筹集了23亿美元。该公司投后估值达到293亿美元。这一估值几乎是一月份估值的 12 倍。
来源：华尔街日报
来源：华尔街日报
https://www.wsj.com/tech/ai/the-ai-coding-startup-favored-by-tech-ceos-is-now-worth-29-3-billion-14c72c02
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20251112：OpenAI发布GPT - 5.1（含Instant和Thinking版本），优先向付费用户推送。该版本优化了智能、对话感及指令遵循与推理效率，新增6种预设语气并试点风格细化调节功能；本周内同步上线API，其Auto功能可自动匹配模型。此外，付费用户可保留GPT - 5三个月，此次更新聚焦模型能力提升与个性化适配。
GPT-5.1: A smarter, more conversational ChatGPT
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20251023: openai 推出 company knowledge 公司知识：agent形态多轮搜索的企业内知识库
* 只给 Business、Enterprise、Edu 版开放
* 用了 特调的 GPT-5，专精于多源检索
* 答案会标注来源，可以点开看原文
* 有公司级别的权限，你看不到的别人也看不到
来源：
* openai.com
* mp.weixin.qq.com
* 只给 Business、Enterprise、Edu 版开放
* 用了 特调的 GPT-5，专精于多源检索
* 答案会标注来源，可以点开看原文
* 有公司级别的权限，你看不到的别人也看不到
来源：
* openai.com
* mp.weixin.qq.com
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《重构：改善既有的代码设计》作者发布了一篇文章：Some thoughts on LLMs and Software Development
What I suggest, is that people experiment with them. At the least, read about what others are doing, but pay attention to the details of their workflows. Preferably experiment yourself, and do share your experiences.
I’m also asked: “is AI a bubble”? To which my answer is “OF COURSE IT’S A BUBBLE”. All major technological advances have come with economic bubbles, from canals and railroads to the internet. We know with near 100% certainty that this bubble will pop, causing lots of investments to fizzle to nothing. However what we don’t know is when it will pop, and thus how big the bubble will have grown, generating some real value in the process, before that happens. It could pop next month, or not for a couple of years.
We also know that when the bubble pops, many firms will go bust, but not all. When the dot-com bubble burst, it killed pets.com, it killed Webvan… but it did not kill Amazon.
What I suggest, is that people experiment with them. At the least, read about what others are doing, but pay attention to the details of their workflows. Preferably experiment yourself, and do share your experiences.
I’m also asked: “is AI a bubble”? To which my answer is “OF COURSE IT’S A BUBBLE”. All major technological advances have come with economic bubbles, from canals and railroads to the internet. We know with near 100% certainty that this bubble will pop, causing lots of investments to fizzle to nothing. However what we don’t know is when it will pop, and thus how big the bubble will have grown, generating some real value in the process, before that happens. It could pop next month, or not for a couple of years.
We also know that when the bubble pops, many firms will go bust, but not all. When the dot-com bubble burst, it killed pets.com, it killed Webvan… but it did not kill Amazon.
Some thoughts on LLMs and Software Development
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