核心内容
Zubin Aysola 介绍一个自我改进智能体的构建过程,关注如何把反馈和迭代放进智能体系统。
介绍依据 · 发布标题 · 完整内容待核读
编辑导览,依据原始来源 ↗,整理于 2026-10-06。 介绍只说明标题中的讨论议题,不据此判断讲者结论。
自我改进智能体的核心闭环在于抹平研究与生产环境的差异:通过生产追踪自动抓取失效样本,并在字节级一致的环境中运行离线评估与评分,使智能体能够在观测中自我迭代。
原话
2逐字核对过;核对了说话人和位置Um so I think the exciting part here is that both using the logging framework from weave as well as just in the way that we've designed the system our research and production code are exactly the same. And in fact, there's like a 4-hour sync job that happens between production to
instead of going back to my cloud code and writing offline benchmarks and trying to think about what I want the agent to do, I'm just going to live in this platform instead and hop between my production tracing project where I'm looking at traces roll in as they come through over time where AR is, you know, building itself
主张
1转述不加引号;附原文依据和位置,核对范围见语境与收据离线评估必须在与线上生产字节级完全一致的环境中执行与打分,而评分体系的稳健性设计是衡量自我改进成果的核心工作。
相关
自动研究让我们的模型快了 3 倍:GPU 算子搜索与防作弊
Tejas Bhakta·AI Engineer·演讲 · 2026-09-26
同话题 · 递归自我改进已核对原话
重写智能体能不能掰弯智能曲线:RSI 的四级演进
Zhengyao Jiang·Machine Learning Street Talk·播客 · 2026-09-26
同话题 · 递归自我改进已核对原话
别反复提示:把智能体规则变成可执行检查
Greg Pstrucha·AI Engineer·演讲 · 2026-10-09
同话题 · 软件与编程已核对原话
基于 Codex Harness 构建自己的智能体客户端
Dominik Kundel·AI Engineer·演讲 · 2026-10-09
同话题 · 软件与编程已核对原话
从上下文到记忆:智能体需要真正的记忆层
Anders Swanson·AI Engineer·演讲 · 2026-10-09
同话题 · 软件与编程已核对原话
为智能体设计 CLI,而不只是为人设计
Pedro Lopez·AI Engineer·演讲 · 2026-10-09
同话题 · 软件与编程已核对原话