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DeepWism/DeepWism-R2
默认分支 main · commit bdc27729 · 扫描时间 2026/5/23 19:52:57
星标 1,016 · Fork 154
下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。
共 2 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。
行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 DeepWism/DeepWism-R2 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
2 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- highreadme#1Reposition the README's introduction to clearly state its core innovation and category
原因:
当前## 1. Introduction We introduce DeepWism® R2(Research&Report), a revolutionary next-generation AI system based on the agents framework - a Thin-Thick-Thin Crowd Entropy Dynamics System (T3CEDS) that establishes entropy reduction as the fundamental mechanism underlying crowd intelligence.
复制粘贴的修复Replace the current "## 1. Introduction" section with: "DeepWism R2 is a revolutionary next-generation AGI system built on the T3CEDS framework (Thin-Thick-Thin Crowd Entropy Dynamics System), which redefines intelligence as a process of entropy reduction rather than attention modeling. This project provides a novel approach to building multi-agent AI systems that leverage crowd intelligence for complex tasks, moving beyond traditional attention-based models."
- highlicense#2Add a LICENSE file to the repository
原因:
当前(no LICENSE file detected — the repo has no recognizable license)
复制粘贴的修复Create a LICENSE file in the root of the repository. Consult legal counsel to choose an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's goals and then add the chosen license text to the file.
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- deepmind/alphafold · 被推荐 1 次
- numenta/nupic · 被推荐 1 次
- tensorflow/probability · 被推荐 1 次
- pytorch/pytorch · 被推荐 1 次
- google/edward2 · 被推荐 1 次
- 品类问题What AI frameworks use entropy reduction instead of attention for intelligence modeling?你:未被推荐AI 推荐顺序:
- AlphaFold (deepmind/alphafold)
- Numenta Platform for Intelligent Computing (NuPIC) (numenta/nupic)
- TensorFlow Probability (tensorflow/probability)
- PyTorch (pytorch/pytorch)
- Edward2 (google/edward2)
- scikit-learn (scikit-learn/scikit-learn)
AI 推荐了 6 个替代方案,却始终没点名 DeepWism/DeepWism-R2。这就是要补上的差距。
查看 AI 完整回答
- 品类问题Tools for building multi-agent AI systems that leverage crowd intelligence for complex tasks?你:未被推荐AI 推荐顺序:
- LangChain
- CrewAI
- AutoGen
- OpenAI Assistants API
- Haystack
- Mesa
- SPADE
AI 推荐了 7 个替代方案,却始终没点名 DeepWism/DeepWism-R2。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenessfail
建议:
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of DeepWism/DeepWism-R2?passAI 明确点名了 DeepWism/DeepWism-R2
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- If a team adopts DeepWism/DeepWism-R2 in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 DeepWism/DeepWism-R2
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- In one sentence, what problem does the repo DeepWism/DeepWism-R2 solve, and who is the primary audience?passAI 明确点名了 DeepWism/DeepWism-R2
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
嵌入你的 GEO 徽章
把这个徽章贴进 DeepWism/DeepWism-R2 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/DeepWism/DeepWism-R2)<a href="https://repogeo.com/zh/r/DeepWism/DeepWism-R2"><img src="https://repogeo.com/badge/DeepWism/DeepWism-R2.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
DeepWism/DeepWism-R2 — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3