一位开发者观察到他们的 AI 路由代理在不保留任何先前结果记忆的情况下，反复做出相同的决定 47 次。这导致了低效处理，被描述为支付了“规划者税”。开发者指出，SOAR，一个 1987 年的认知架构，通过回忆而不是重复推理来提供解决方案。 AI
影响 突出了当前 AI 代理设计中潜在的低效率，建议使用记忆回忆作为比重复推理更有效的方法。
排序理由 开发者对 AI 代理行为的观察和评论。
在 Mastodon — fosstodon.org 阅读 →
AI 生成摘要 · Google Gemini · 来自 5 个来源。 我们如何撰写摘要 →
Watched my routing agent settle the same decision 47 times. Each time, it stopped, deliberated, burned tokens, and arrived at exactly the same answer. No memory of being right. Every dispatch was the first dispatch. I was paying the planner tax on repeat. SOAR, a 1987 cognitive a…
Watched my routing agent settle the same decision 47 times. Each time, it stopped, deliberated, burned tokens, and arrived at exactly the same answer. No memory of being right. Every dispatch was the first dispatch. I was paying the planner tax on repeat. SOAR, a 1987 cognitive a…
Watched my routing agent settle the same decision 47 times. Each time, it stopped, deliberated, burned tokens, and arrived at exactly the same answer. No memory of being right. Every dispatch was the first dispatch. I was paying the planner tax on repeat. SOAR, a 1987 cognitive a…
Watched my routing agent settle the same decision 47 times. Each time, it stopped, deliberated, burned tokens, and arrived at exactly the same answer. No memory of being right. Every dispatch was the first dispatch. I was paying the planner tax on repeat. SOAR, a 1987 cognitive a…
Watched my routing agent settle the same decision 47 times. Each time, it stopped, deliberated, burned tokens, and arrived at exactly the same answer. No memory of being right. Every dispatch was the first dispatch. I was paying the planner tax on repeat. SOAR, a 1987 cognitive a…