seenzus Thinking
How seenzus thinks seenzus 如何思考
The choices behind the product: what we refuse to build, what those decisions cost, and which questions remain open.
写产品背后的选择，也写我们拒绝什么，为选择付出什么，以及哪些问题还没有答案
12 published articles已发布 12 篇Research研究
Questions we investigate, compare, and test, and how the evidence changes our judgment.写我们调查、比较和验证过的问题，以及证据怎样改变判断。
Does seenzus get better as models get stronger?模型越强，seenzus 就越好吗？
GPT-6 raises the ceiling; a physical-world product determines how much reaches realityGPT‑6 抬高能力上限，物理世界产品决定它能落下多少
Model capability matters greatly to seenzus, but the relationship is not simple substitution. The model determines how much ambiguity and change a Space Agent can handle; seenzus supplies persistent spatial context, memory, authority, and action so that general intelligence becomes useful to a place.模型强弱与 seenzus 高度相关，却不是简单替代关系。模型决定 Space Agent 能处理多少含糊与变化；seenzus 提供持续的空间上下文、记忆、权限和行动，让通用智能真正对一个地方有用。
Anthropic's MHS gives us more confidence in physical agentsAnthropic 的 MHS，让我们更确信物理 Agent 的方向
Before MHS was announced, seenzus had already chosen to put agents into real spaces. Now two independent paths point toward the same physical agent direction.在 MHS 发布前，seenzus 已经选择让 Agent 进入真实空间。如今，两条独立路径指向同一个物理 Agent 方向。
Physical agents were already part of the seenzus product direction. Anthropic's MHS adds evidence from the infrastructure side and gives us more confidence that this path deserves long-term investment.seenzus 早已把物理 Agent 写进产品方向。Anthropic 的 MHS 从行业基础设施一侧提供了新的证据，让我们更确信这条路值得长期投入。
Why agent memory is starting to look like a set of filesAgent 的记忆为什么越来越像一套文件
We examined knowledge-base RAG, CLAUDE.md, progressive disclosure, and the memory systems in Claude Code, Codex, and Hermes. The harder questions are what survives, what enters the next turn, and where the boundary belongs in a shared physical space.我们回头看了知识库 RAG、CLAUDE.md 和渐进式披露，又拆开 Claude Code、Codex 与 Hermes 的实现。除了存储方式，我们更关心记忆怎样留下、怎样进入下一轮，以及到了多人空间里，边界该画在哪里。
