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date
Mar 27, 2026
slug
evaluating-frontier-ai-tech
summary
待进一步考察实际落地价值的AI前沿技术
tags
开发
category
技术分享
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待进一步考察实际落地价值的AI前沿技术
RAG新解? - MSA
- 推文与paper
- 最重要的结果部分

- 从16K到100M 8.8%的损失
In contrast, MSA demonstrates exceptional stability, starting with a strong score of 4.023 at 16K tokens and sustaining a competitive 3.669 even at the extreme 100M token scale. This represents a gradual degradation of only 8.8% across four orders of magnitude in memory scaling.
- 待考察点
code仍是经典coming soon
没有比较agent做auto compact上下文的表现
没有MRCR v2 (8-needle)这些Benchmark结果,无法对比前沿模型
Auto Research On Skills
渐进性披露MCP? - MCP2CLI + Skill
AI直出可交互稿 - Stitch
Claude Desktop
TurboQuant
kv cache压缩
Codex破限
- 改会话回答
- 提交Claude的Plan
- 修改措辞
Harness落地思路
gstack
- 有点意思,还没玩明白




选定A
找到了superpowers那边存下来的设计文档

有点东西,抓的很到位


CC安装时的budget图







Codex怎么没有CC这边的初始化自动改配置?
前端相关实践参考
trellis
https://docs.trytrellis.app/zh
- 作者:CamelliaV
- 链接:https://camelliav.netlify.app/article/evaluating-frontier-ai-tech
- 声明:本文采用 CC BY-NC-SA 4.0 许可协议,转载请注明出处。
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