100mini ~ /100-questions/ai-100-questions-2026-11-01 — zsh
cat /100-questions/ai-100-questions-2026-11-01

AI 垂直领域 100 个常见问题(Reddit / X 一手挖掘)

从 Reddit 15 个 AI 板块与 X 搜索中筛出 381 条原始提问,去重后精选 100 个 AI 领域常见问题,按 10 个方向分组,附来源与互动数据。

100 个问题AIRedditX调研问题库
作者
100mini 编辑部
问题数
100
章节
12
数据源
Reddit + X
样本
381 → 100
更新
2026-11-01
目录12 章 · 100 问
1. 数据源与领域分布
2. Agent/自动化 (22 问)
3. 提示词/通用使用 (19 问)
4. 编码/开发 (16 问)
5. 学习/职业 (10 问)
6. 图像生成 (10 问)
7. 本地部署/开源模型 (8 问)
8. 音乐/音频 (7 问)
9. 视频生成 (5 问)
10. RAG/知识库 (2 问)
11. 商业化/变现 (1 问)
12. 方法与下一步

1. 数据源与领域分布

数据源: Reddit(agent-reach / rdt-cli 登录态,15 个 AI 板块 top-month + hot 各 50 帖)· X(opencli twitter search,6 组疑问句式查询) 抓取时间: 2026-11-01 · 窗口: Reddit 约 2026-10 上旬 → 2026-11-01 口径: 381 条原始去重提问 → 真提问过滤 → 按领域配额精选 100 问(Reddit 90 / X 10)

源问题标题保留英文原文;互动数据为抓取时快照,仅用于判断讨论热度。

领域分布

领域 精选问数 原始池条数
Agent/自动化 22 88
提示词/通用使用 19 93
编码/开发 16 67
学习/职业 10 42
图像生成 10 29
本地部署/开源模型 8 17
音乐/音频 7 26
视频生成 5 11
RAG/知识库 2 3
商业化/变现 1 2
合计 100 381

Top 20 高互动问题

# 问题 来源 互动 领域
1 What it feels like to use Claude r/ChatGPT 85 评论 / 5571 赞 提示词/通用使用
2 What if everything leaked? Every photo, every text r/ChatGPT 385 评论 / 3939 赞 提示词/通用使用
3 Why does ChatGPT still use 5.6 Sol? https://t.co/Hg1PjLEY6w @theo 2988 赞 / 235868 浏览 提示词/通用使用
4 How the 10x Vibe Coding Speedup is Going r/vibecoding 106 评论 / 3778 赞 编码/开发
5 How many in this situation, forbidden to lie r/ArtificialInteligence 180 评论 / 3407 赞 提示词/通用使用
6 Do the best models and harnesses compensate for low effort prompts? r/vibecoding 335 评论 / 3027 赞 编码/开发
7 What are we doing now, OpenAI? The guardrails are getting more and more ridiculous... r/ChatGPT 438 评论 / 2654 赞 提示词/通用使用
8 What if we boarded planes pre-seated through the butthole r/OpenAI 456 评论 / 2618 赞 提示词/通用使用
9 When will OpenAI change its name to OpenSI? r/OpenAI 930 评论 / 1280 赞 提示词/通用使用
10 Where were you when ChatGPT killed big pharma? r/ChatGPT 246 评论 / 2597 赞 提示词/通用使用
11 Is this the moment when AI bubble bursts? r/ClaudeAI 594 评论 / 1786 赞 提示词/通用使用
12 Anyone else feeling a little bit nostalgic for old video models? r/StableDiffusion 181 评论 / 2384 赞 图像生成
13 Don’t give up your cognition! r/ArtificialInteligence 168 评论 / 2316 赞 提示词/通用使用
14 How is it possible that qwen 27b is so good? When GPT 4o had a trillion parameters and was worse? r/LocalLLaMA 398 评论 / 1743 赞 本地部署/开源模型
15 Can we please start building apps and systems to save humanity from scarcity and corruption, instead r/ClaudeAI 421 评论 / 1555 赞 音乐/音频
16 Why almost all major Open weight models come from china ? r/StableDiffusion 571 评论 / 1008 赞 图像生成
17 Gua benci gen ai dan gua benci prabowo tapi how do you tell it's AI? Itu sedetail itu loh. Gua masih @eldnahesaelp 1448 赞 / 138063 浏览 编码/开发
18 why does chatgpt talk like this now? https://t.co/vX9SKuAU2b @thinkingshivers 1749 赞 / 70520 浏览 提示词/通用使用
19 We just crossed $1M in annualized revenue run rate in just 6 days after launch. And we're just a te @davidim 1226 赞 / 152135 浏览 视频生成
20 Anyone feel like reverse-engineering CUDA? r/LocalLLaMA 368 评论 / 1057 赞 本地部署/开源模型

2. Agent/自动化 (22 问)

提问模式速览: 怎么入门 Agent 开发;agent 跑偏/失控/记忆丢失怎么办;哪些活真的能交给 agent 全自动;MCP、浏览器操作、多 agent 协作的工具选型;自动化之后如何验收质量。

1. Are people lobotomized? Why would anyone hand Zuckerberg the keys to their entire life…

查看原帖 · r/AI_Agents · 185 评论 / 660 赞

2. What is something that you have successfully automated with an AI Agent?

查看原帖 · r/AI_Agents · 193 评论 / 141 赞

3. What AI business would you start today to make money in the next 2–3 years?

查看原帖 · r/AI_Agents · 116 评论 / 108 赞

4. Is anyone else noticing that people building AI agents are forgetting basic software…

查看原帖 · r/AI_Agents · 89 评论 / 97 赞

5. How to create an Ai agent?

查看原帖 · r/AI_Agents · 99 评论 / 73 赞

6. is n8n still relevant?

查看原帖 · r/AI_Agents · 79 评论 / 64 赞

7. Is it just me or is building AI agents harder than people make it look?

查看原帖 · r/AI_Agents · 67 评论 / 65 赞

8. Do you actually use multi-agent orchestration, or is a single agent enough?

查看原帖 · r/AI_Agents · 77 评论 / 44 赞

9. How are you handling long-term memory for your agents? Mem0, Zep, or rolling your own?

查看原帖 · r/AI_Agents · 70 评论 / 37 赞

10. Did you guys build your own agent harness?

查看原帖 · r/AI_Agents · 61 评论 / 40 赞

11. What's the best AI personal assistant for actually managing daily work?

查看原帖 · r/AI_Agents · 52 评论 / 48 赞

12. Is anyone using AI agents to handle customer support?

查看原帖 · r/AI_Agents · 55 评论 / 39 赞

13. How are you handling security when building AI agents?

查看原帖 · r/AI_Agents · 56 评论 / 37 赞

14. Should AI agents ever have permanent payment credentials?

查看原帖 · r/AI_Agents · 49 评论 / 47 赞

15. How do I become an Agentic AI Engineer (not a general AI Engineer)? Looking for a real…

查看原帖 · r/aiagents · 48 评论 / 45 赞

16. Are we getting way too comfortable giving AI agents access to our personal accounts?

查看原帖 · r/AI_Agents · 48 评论 / 39 赞

17. How are you securing your AI infrastructure?

查看原帖 · r/AI_Agents · 39 评论 / 37 赞

18. Is anyone else concerned about privacy with AI agents acting on your behalf?

查看原帖 · r/AI_Agents · 41 评论 / 30 赞

19. How to build a harness that actually improves your agent (based on 57 papers)

查看原帖 · r/AI_Agents · 25 评论 / 58 赞

20. Are AI agents helping support teams save time and handle more calls?

查看原帖 · r/AI_Agents · 32 评论 / 34 赞

21. Is it crazy if I want to make ai agents in a sandbox setup gods

查看原帖 · r/aiagents · 36 评论 / 24 赞

22. How are you actually verifying that your AI agents completed a task correctly?

查看原帖 · r/aiagents · 39 评论 / 8 赞

3. 提示词/通用使用 (19 问)

提问模式速览: 为什么输出质量突然变差/风格变了;账号封禁、额度与订阅层级;让 AI 记住上下文和长期偏好;角色扮演与安全边界;不同模型(GPT/Claude/Gemini/Grok)怎么选。

23. What it feels like to use Claude

查看原帖 · r/ChatGPT · 85 评论 / 5571 赞

24. What if everything leaked? Every photo, every text

查看原帖 · r/ChatGPT · 385 评论 / 3939 赞

25. Why does ChatGPT still use 5.6 Sol? https://t.co/Hg1PjLEY6w

查看原帖 · X @theo · 2988 赞

26. How many in this situation, forbidden to lie

查看原帖 · r/ArtificialInteligence · 180 评论 / 3407 赞

27. What are we doing now, OpenAI? The guardrails are getting more and more ridiculous...

查看原帖 · r/ChatGPT · 438 评论 / 2654 赞

28. What if we boarded planes pre-seated through the butthole

查看原帖 · r/OpenAI · 456 评论 / 2618 赞

29. When will OpenAI change its name to OpenSI?

查看原帖 · r/OpenAI · 930 评论 / 1280 赞

30. Where were you when ChatGPT killed big pharma?

查看原帖 · r/ChatGPT · 246 评论 / 2597 赞

31. Is this the moment when AI bubble bursts?

查看原帖 · r/ClaudeAI · 594 评论 / 1786 赞

32. Don’t give up your cognition!

查看原帖 · r/ArtificialInteligence · 168 评论 / 2316 赞

33. why does chatgpt talk like this now? https://t.co/vX9SKuAU2b

查看原帖 · X @thinkingshivers · 1749 赞

34. How big a deal is this? Claude Opus 5.5: "If these hold up, this is the biggest single…

查看原帖 · r/OpenAI · 361 评论 / 800 赞

35. OpenAI and Anthropic cut their LLM prices by up to 80% within a few months. Why?

查看原帖 · r/OpenAI · 237 评论 / 1044 赞

36. Doom 1993 but with modern graphics

查看原帖 · r/ChatGPT · 142 评论 / 699 赞

37. Can this man even get more evil?

查看原帖 · r/ChatGPT · 286 评论 / 396 赞

38. When is OpenAI changing their name to OpenSI

查看原帖 · r/OpenAI · 157 评论 / 645 赞

39. How is your usage so far after this update?

查看原帖 · r/OpenAI · 172 评论 / 509 赞

40. AI Proved the Quasi-Riemann Hypothesis. What Happens Now? | Unlike other recent AI…

查看原帖 · r/OpenAI · 167 评论 / 508 赞

41. Which ai do these people use?

查看原帖 · r/GenerativeAI · 128 评论 / 489 赞

4. 编码/开发 (16 问)

提问模式速览: 低质量 prompt 能不能被强模型兜底;不用 AI 还会写代码吗(技能焦虑);vibe-coded 项目怎么维护和交接;API 成本与 token 限制;出错时该信 AI 还是信报错信息。

42. How the 10x Vibe Coding Speedup is Going

查看原帖 · r/vibecoding · 106 评论 / 3778 赞

43. Do the best models and harnesses compensate for low effort prompts?

查看原帖 · r/vibecoding · 335 评论 / 3027 赞

44. Gua benci gen ai dan gua benci prabowo tapi how do you tell it's AI? Itu sedetail itu…

查看原帖 · X @eldnahesaelp · 1448 赞

45. Why does every Al model name start with "C"? -ChatGPT - Claude - Codex - Copilot - Cursor…

查看原帖 · X @sahill_og · 646 赞

46. How do you make AI create non-slop UI/UX? I'm struggling to get Claude and especially…

查看原帖 · X @AidenAllred2 · 631 赞

47. Don't try to use REA with Claude.

查看原帖 · r/vibecoding · 241 评论 / 383 赞

48. What do you guys think about my first browser game?

查看原帖 · r/vibecoding · 229 评论 / 304 赞

49. Anyone else having this issue?

查看原帖 · r/vibecoding · 84 评论 / 333 赞

50. How it feels when you've hit your usage limit

查看原帖 · r/vibecoding · 37 评论 / 348 赞

51. Doom on the clockin machine at work fuck it

查看原帖 · r/vibecoding · 18 评论 / 334 赞

52. When you realize Ben Affleck was not acting in the Accountant.

查看原帖 · r/vibecoding · 36 评论 / 246 赞

53. We spend $30k/M on tokens! How to reduce it?

查看原帖 · r/ChatGPTCoding · 117 评论 / 24 赞

54. Got rejected in a final round because of how I answered "how do you use AI?" What do you…

查看原帖 · r/ChatGPTCoding · 71 评论 / 77 赞

55. Anyone here using ChatGPT with Blender for character modeling?

查看原帖 · r/ChatGPTCoding · 46 评论 / 99 赞

56. How do I make AI actually think and execute instead of constantly babysitting it?

查看原帖 · r/ChatGPTCoding · 75 评论 / 30 赞

57. How do you make a coding agent prove it actually ran the tests?

查看原帖 · r/ChatGPTCoding · 85 评论 / 7 赞

5. 学习/职业 (10 问)

提问模式速览: 零基础从哪开始、多久能到就业水平;AI 工程师路线图;要不要学数学;便宜又稳定的高吞吐 API 选型;transformer 逐 token 生成的原理。

58. Why is one token at a time enough?

查看原帖 · r/MLQuestions · 38 评论 / 29 赞

59. Where to start?

查看原帖 · r/MLQuestions · 15 评论 / 10 赞

60. What's the cheapest LLM API that's actually reliable for high volume text classification…

查看原帖 · r/MLQuestions · 13 评论 / 7 赞

61. Is a ML entry level job out of college realistic for me?

查看原帖 · r/MLQuestions · 13 评论 / 6 赞

62. How do I learn about research?

查看原帖 · r/MLQuestions · 8 评论 / 13 赞

63. Should You know Autograd

查看原帖 · r/MLQuestions · 7 评论 / 12 赞

64. What are the challenges encountered when using coding agents for ML tasks?

查看原帖 · r/MLQuestions · 9 评论 / 6 赞

65. What do you do with SHAP values?

查看原帖 · r/MLQuestions · 6 评论 / 9 赞

66. Which Ai can create high detailed interactive websites for studying? (A study interface…

查看原帖 · r/MLQuestions · 10 评论 / 1 赞

67. How do you decide when a smaller ML model is reliable enough to use instead of an LLM?

查看原帖 · r/MLQuestions · 6 评论 / 6 赞

6. 图像生成 (10 问)

提问模式速览: 风格失控/手部崩坏为什么一直出现;角色一致性怎么保证;开源与闭源差距为何在拉大/缩小;LoRA 与 checkpoint 怎么选;老模型被下架后的怀旧与迁移。

68. Anyone else feeling a little bit nostalgic for old video models?

查看原帖 · r/StableDiffusion · 181 评论 / 2384 赞

69. Why almost all major Open weight models come from china ?

查看原帖 · r/StableDiffusion · 571 评论 / 1008 赞

70. How I feel about the current open source image models

查看原帖 · r/StableDiffusion · 211 评论 / 548 赞

71. [Scary Future?] Codex disabled my ComfyUI (on purpose) and refused to fix it

查看原帖 · r/StableDiffusion · 259 评论 / 407 赞

72. What's the best way to edit specific parts of an image in ComfyUI?

查看原帖 · r/ComfyUI · 159 评论 / 279 赞

73. How do yall do it?

查看原帖 · r/ComfyUI · 143 评论 / 306 赞

74. Where Am I #214

查看原帖 · r/Midjourney · 12 评论 / 510 赞

75. Looking for best uncensored image generator

查看原帖 · r/GenerativeAI · 177 评论 / 103 赞

76. What happens once China stops providing free, OSS models?

查看原帖 · r/StableDiffusion · 86 评论 / 140 赞

77. Where the sun is set #211

查看原帖 · r/Midjourney · 8 评论 / 293 赞

7. 本地部署/开源模型 (8 问)

提问模式速览: 为什么几十 B 的小模型能打千亿闭源;VRAM/GPU 怎么配最划算;量化等级(GGUF)对质量影响;CUDA 生态能不能被绕开;中国模型为何霸榜开源。

78. How is it possible that qwen 27b is so good? When GPT 4o had a trillion parameters and…

查看原帖 · r/LocalLLaMA · 398 评论 / 1743 赞

79. Anyone feel like reverse-engineering CUDA?

查看原帖 · r/LocalLLaMA · 368 评论 / 1057 赞

80. Have 8 GB of VRAM and 32 GB of RAM? You can run Qwen 3.8 Flash Next at up to 900 t/s PP…

查看原帖 · r/LocalLLaMA · 257 评论 / 897 赞

81. Do you have any opinions that generally go against /r/LocalLLaMa's hivemind?

查看原帖 · r/LocalLLaMA · 350 评论 / 202 赞

82. Is your engine lobotomizing your model? Kinda, and I measured it

查看原帖 · r/LocalLLaMA · 58 评论 / 58 赞

83. What's the advantage of building a custom harness over using something like Unsloth?

查看原帖 · r/LocalLLaMA · 42 评论 / 20 赞

84. How do I make search with local models feel like ChatGPT / Codex?

查看原帖 · r/LocalLLaMA · 28 评论 / 22 赞

85. What exciting architectural moves are we looking to see next in AI models?

查看原帖 · r/LocalLLaMA · 23 评论 / 13 赞

8. 音乐/音频 (7 问)

提问模式速览: AI 音乐到底有没有人在听;发布到 YouTube/流媒体的版权与收益;人声分离与翻唱;Suno 之外还有什么可用的。

86. Can we please start building apps and systems to save humanity from scarcity and…

查看原帖 · r/ClaudeAI · 421 评论 / 1555 赞

87. Anyone else try to post on YouTube?

查看原帖 · r/SunoAI · 234 评论 / 53 赞

88. what is going on with v6?

查看原帖 · r/SunoAI · 132 评论 / 58 赞

89. Download Pricing is Wild

查看原帖 · r/SunoAI · 92 评论 / 65 赞

90. Is it just me, or is Suno V6 a massive step backwards? And are there any better…

查看原帖 · r/SunoAI · 78 评论 / 51 赞

91. Why is SUNO being singled out while the entire AI industry is built on stealing and…

查看原帖 · r/SunoAI · 56 评论 / 90 赞

92. How are voice agents so cheap in India?

查看原帖 · r/AI_Agents · 33 评论 / 49 赞

9. 视频生成 (5 问)

提问模式速览: 哪家的图生视频最可用;15 秒视频在各家的成本对比;无审查模型在哪找;怎么生成特定风格的短片。

93. We just crossed $1M in annualized revenue run rate in just 6 days after launch. And we're…

查看原帖 · X @davidim · 1226 赞

94. My friend is an Anthropic engineer making $1.2M/year. I asked him one question: “How did…

查看原帖 · X @RahulTechX · 193 赞

95. This AI creator goes viral with this absolutely beautiful video, and people think they…

查看原帖 · X @karatademada · 264 赞

96. What a 15-second Seedance 2.5 video costs across 13 providers (Oct 2026)

查看原帖 · r/GenerativeAI · 88 评论 / 46 赞

97. what's best for video generation?

查看原帖 · r/GenerativeAI · 40 评论 / 95 赞

10. RAG/知识库 (2 问)

提问模式速览: 文档压缩时哪些信息必须保留;PDF 问答为什么总漏关键页;embedding 模型怎么选。

98. Has OpenAI ever released a document about ChatGPT called "The Soul"? If not, why does it…

查看原帖 · X @nickacaputo · 976 赞

99. WHY IS FABLE SO GOOD AT MAKING PRETTY DOCUMENTS WHY DOES IT HAVE TO BE ANTHROPIC WHY…

查看原帖 · X @DaveShapi · 535 赞

11. 商业化/变现 (1 问)

提问模式速览: AI 泡沫若破裂技术会怎样;用 AI 做个人财务管理工具靠不靠谱;AI 股票抛售与基本面。

100. Has anyone used Claude to build an all-in-one dashboard for utility bills, mortgage…

查看原帖 · r/ClaudeAI · 46 评论 / 27 赞

12. 方法与下一步

方法与硬伤(诚实标注)

采样非全量:Reddit 取 15 板块 top-month + hot 各 50 帖,筛出问句;new 区长尾低质提问未覆盖。 X 为搜索采样:6 组疑问句式查询,命中偏向高互动与英文内容;中文提问仅零星。 "真提问"判定是启发式:疑问词开头 / Question-Help flair / 前半句含 ?,已剔除 lol 类梗帖、<12 字符标题及政治向内容,但仍可能混入修辞式提问。 去重按词袋近似:同义不同措辞的问题未做语义合并,100 问里可能存在变体重复。 互动量 ≠ 常见度:用 评论×2+赞 排序,反映共鸣度;真实提问频次需搜索引擎数据验证。 票数 fuzzing:Reddit 公开分有随机微调,仅看量级;X 浏览量为近似值。 未二次核验:数据来自 agent-reach 通道结构化输出(Reddit=rdt-cli JSON,X=opencli YAML),未逐条回原生页面核验。

可执行的下一步

  1. 语义聚类加深: 对 Agent / 图像等大领域做子痛点聚类,产出「问题 → 子痛点 → 内容选题」三层表。
  2. GEO 机会映射: 用搜索引擎验证哪些问题还缺高质量中文答案(内容/GEO 切入位)。
  3. 产品线定向: 按 100mini / Bento Resume / PAW&CLAW 过滤相关问题做机会解读。
cat {slug}