word2005a

[数字生命卡兹克 @Khazix0918]

能用脚本就别用Agent。

今天早上发了那篇文章以后，有很多朋友跟我讨论。

发现大家问得最多的一个问题是，你天天说Agent和Skills是未来，那你自己平时干活是不是什么都丢给Agent？

我说实话，还真不是。

正好借这个机会我再补充一下，因为我发现这是一个很普遍的误解。
很多人一听Agent厉害，就想把所有事情都交给它干，但说实话，在我自己的实际工作里，Agent反而是我最后才会动用的手段。

我自己处理事情的优先级是这样的。
1. 能用Agent写个脚本解决的，一律都用脚本自动化解决。
2. 脚本搞不定的，或者需要一些泛化能力的，做成Skill。
3. 只有那些真正需要创造性判断、复杂推理的任务，才会真正交给Agent。

这其实是个循环。

先说脚本。这东西就是逻辑是固定的，输入是什么，输出是什么，中间怎么处理，全都是确定的，不存在需要判断的地方，不存在可能出现意外情况的地方，比如我飞书上各种各样现在跑着的自动化。

这种事情你让Agent来干，纯属浪费。
你不会用大炮打蚊子，同样的道理，你也不该用Agent去干脚本能干的活。

再说Skill。有些事情，纯脚本搞不定。比如我做的那个AI热点监控站，里面有一个资讯打分的功能，每条资讯进来，要判断它的重要性、相关性、时效性，给一个综合评分。

这个事情你没法写死逻辑，因为资讯的内容是千变万化的，你不可能为每种内容预设一套评分规则。

这时候就需要大模型的泛化能力了，但它又不需要Agent那种自主决策和多步骤规划的能力，它就是一个单一的、封装好的能力单元。

这就是Skill的价值。

最后才是Agent，我用Agent的很多时候，就是那种你没法提前规划好所有步骤的任务。你知道你想要什么结果，但你不知道中间要经过哪些步骤，因为这取决于过程中遇到的具体情况。

就比如，开发一个脚本，比如，做一个究极详细的竞品体验报告。

这种需要动态规划、需要根据中间结果调整策略的任务，才是Agent真正的用武之地。

所以，这三层，其实有点像一个金字塔，而且是上下循环的金字塔。

最好的Agent使用方式，就是不断往下沉淀能力，自己永远只处理那些还没法被固化的部分。

很多人犯的错误是，一上来就把所有事情都往Agent上堆。

结果就是慢、贵，还不稳定。

真不是Agent不行，是很多场景根本用不到它，强行上Agent只会引入不必要的不确定性。

这才是这个金字塔真正的运转方式。

让Agent去创造工具，让工具去执行任务。

这个循环一旦跑起来，才是AI在公司里真正落地的样子。

[Otto Huang  @OttoHuang120]

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[World of Dypians @worldofdypians]

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[Bitlayer @BitlayerLabs]

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[Aria @Aria_Protocol]

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[Listapie @Listapiexyz_io]

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[Listapie @Listapiexyz_io]

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[World of Dypians @worldofdypians]

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[T.Z. @XuanzhenZ]

1/ WTF is @verio_story?

Verio is Story's Trust engine, decentralizing IP governance @StoryProtocol. By aligning incentives, Verio leverages liquid staking and IP asset staking to curate the right IPs. High stake weight = trusted, legitimate IP. No stake weight = flagged as spam.

[Creator.Bid @CreatorBid]

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[word2005a @yn_lai]

One of us! One of us! https://t.co/muPlX87jNI

[The DATA Foundation @datafdn]

IP is the intersection where AI and blockchains will collide.

[The DATA Foundation @datafdn]

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[The Rollup @therollupco]

EXCLUSIVE: Programmable IP In The Age of AI with Jason Zhao

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> The intersection of IP and AI
> AI agents evolution
> Jason's vision for IP in crypto
> Why crypto x AI is so exciting

Full episode links below.

Timestamps:
00:00 Intro
01:05 AI and IP Refresher
07:35 Evolving IP with Blockchains
19:04 Can Agents Have Original ideas?
31:34 Crypto & AI: Direction of Causality
43:50 Is Story an AI or IP chain?
51:42 Training Agents on IP

[The DATA Foundation @datafdn]

Announcing our collaboration with @StabilityAI.

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Welcome to the intelligence economy.

[Bitlayer @BitlayerLabs]

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