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    Categories>Technology>龙虾AI:是造饭碗还是砸饭碗?

    龙虾AI:是造饭碗还是砸饭碗?

    27 min
    |
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    Mar 25, 2026
    TechnologyAISociety

    面对OpenClaw掀起的全民养虾热潮与算力成本飙升,Lena和Miles将深度拆解原生数字员工的崛起。从Anthropic与OpenAI的技术博弈到普通人的AGI实操指南,带你洞察这场世界模型军备竞赛背后的机遇与风险。

    龙虾AI:是造饭碗还是砸饭碗?

    Best quote from 龙虾AI:是造饭碗还是砸饭碗?

    “

    现在不是 AI 要取代人,而是‘会用 AI 的人’正在快速淘汰‘不会用 AI 的人’。在这个‘神仙打架’的时代,希望我们都能找到最适合自己的‘龙虾’,让它成为我们大脑的延伸,而不是替代品。

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    原生电脑操控是指 AI 像人类一样拥有了“眼睛和手”,能够直接识别屏幕截图、移动鼠标并操作各类软件。以往的 AI 插件通常需要特定的 API 接口才能工作,而具备 Computer Use 能力的模型(如 GPT-5.4 或 Claude)可以直接在 Excel、浏览器或文件夹之间自主切换,像一个“隐形实习生”一样代替人类完成复杂的跨应用操作。

    OpenClaw 被称为“智能体操作系统”,它的核心优势在于开源和灵活性。与 OpenAI 等封闭且昂贵的官方模型不同,OpenClaw 提供了一个通用的“骨架”,允许用户根据需求接入不同的模型(如 DeepSeek、通义千问等),从而大幅降低了普通人组建自动化工作流的成本。它让用户能够以低廉的价格实现订票、订酒店等跨 App 的自动化任务。

    Anthropic 始终坚持“安全第一”的原则,在与五角大楼谈判时提出了明确的伦理红线,即严禁将 Claude 模型用于大规模监控或开发自主武器。尽管这导致其失去了 2 亿美元的合同并被联邦机构禁用,但这种对伦理底线的坚守反而赢得了许多企业用户的信任,认为其在处理商业机密和数据安全方面比追求商业扩张的对手更可靠。

    “世界模型”是 AI 发展的下一个重要阶段,旨在让 AI 理解物理世界的规律(如重力、空间一致性和时间演化)。目前的 AI 主要在语言逻辑中运行,而世界模型(如 World Labs 的研究)能够生成可导航的真实 3D 环境。这项技术是自动驾驶和具身智能机器人的核心,能让 AI 从数字世界走向物理实体,具备修水管、做手术或在虚拟环境中进行无限次路测的能力。

    脚本建议普通人应从“工具使用者”转型为“数字合伙人”。核心竞争力不再是执行重复性劳动,而是“拆解任务”和“定义问题”的能力。职场人应学会利用 AI 自动化流程(如飞书 Aily 或 OpenClaw)来处理琐事,同时关注数据安全,尝试在本地部署轻量级模型。最重要的是保持好奇心,将 AI 视为大脑的延伸而非替代品,守护人类独有的创造力和共情力。

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    Key Takeaways

    1

    从全民“养虾”到神仙打架

    0:00
    0:17
    0:30
    0:37
    0:53
    2

    这种“原生数字员工”到底是什么来头

    1:09
    1:40
    1:50
    2:20
    2:29
    3:01
    3:12
    3:34
    3:44
    4:16
    4:34
    3

    算力战场的“军火商”与“拾荒者”

    4:47
    5:00
    5:21
    5:25
    5:50
    6:03
    6:32
    6:45
    7:10
    7:22
    7:49
    8:01
    8:31
    8:39
    4

    拒绝国防部的 Anthropic 与“捡漏”的 OpenAI

    8:54
    9:09
    9:27
    9:32
    9:56
    10:05
    10:23
    10:27
    10:44
    10:57
    11:23
    11:38
    11:54
    12:00
    12:26
    12:41
    5

    谷歌的“防守反击”与智能家居的翻身仗

    12:54
    13:04
    13:25
    13:27
    13:53
    13:58
    14:20
    14:32
    14:55
    15:02
    15:25
    15:36
    16:02
    16:11
    16:38
    8:01
    6

    “世界模型”:AI 的下一场军备竞赛

    17:06
    17:22
    17:44
    17:48
    18:08
    18:12
    18:41
    18:45
    19:06
    16:11
    19:35
    19:44
    20:02
    20:14
    20:38
    20:49
    7

    从“工具人”到“合伙人”:普通人的实操指南

    21:01
    21:20
    21:31
    21:33
    21:59
    16:11
    22:31
    22:39
    23:04
    23:15
    23:41
    23:50
    24:16
    16:11
    8

    AGI 的曙光,还是算法的幻觉?

    24:41
    24:54
    25:12
    25:27
    25:44
    25:57
    26:16
    16:11
    26:42
    26:56
    27:04
    27:11
    27:19

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