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使用 AI Agent 的战略思维

📅 2026-03-23 07:20 Garry Tan 人工智能 2 分鐘 1690 字 評分: 82
AI Agent LLM 前沿模型 Gstack AI 战略
📌 一句话摘要 Garry Tan 讨论了让 AI 模型消耗足够 Token 以实现经济价值的重要性,强调了关注实际成果的必要性。 📝 详细摘要 针对用户对 Gstack 的 Token 消耗问题的困扰,Garry Tan 建议用户应该“放开去用 Token”。他认为,使用前沿模型(Frontier Model)的真正价值在于实现经济效用,只要 AI 输出的实际价值足以抵消 Token 成本,那就是值得的。 📊 文章信息 AI 评分:82 来源:Garry Tan(@garrytan) 作者:Garry Tan 分类:人工智能 语言:英文 阅读时间:2 分钟 字数:278 标签: AI
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Oh this is probably an under-rated part of what is happening. You have to let the tokens rip. The magic happens because you use the frontier model and you have to be doing things that have economic value such that you can look back and say "It Does X" and it's worth it to you

!Image 2: Leung Henry

#### Leung Henry

@lh43136 · 13h ago @garrytan @grok Gstack is frustrating. I have little chance to provide inputs or discuss, before it creates massive plans while burning thru tokens. Any tutorial on using it effectively?

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One Sentence Summary

Garry Tan discusses the importance of allowing AI models to utilize sufficient tokens to achieve economic value, emphasizing the need to focus on tangible outcomes.

Summary

Responding to a user's frustration with Gstack's token consumption, Garry Tan advises that users should 'let the tokens rip.' He argues that the true value of using frontier models lies in achieving economic utility, where the cost of tokens is justified by the tangible value created by the AI's output.

AI Score

82

Influence Score 13

Published At Yesterday

Language

English

Tags

AI Agents

LLM

Frontier Models

Gstack

AI Strategy

查看原文 → 發佈: 2026-03-23 07:20:01 收錄: 2026-03-23 10:00:37

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