2026年9月7日 6:58 ET 发布 · 更新于 2 个月前 · 1 个来源
Astra's AI efficiency breakthrough challenges scaling assumptions
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原始报道
Astra's live debugging and the subsequent token-reduction research indicate that current AI agent architectures are inefficient and can be made cheaper and more accurate by discarding conversation history.
原文