Meta Is in Crisis, Google Search's Makeover, and AI Gets Booed by Graduates
TL;DR · AI 摘要
Meta正经历危机，尽管利润创新高但员工士气低落，同时Google I/O大会展示了搜索功能的重大AI变革，而AI技术引发了毕业生和AI从业者配偶群体的复杂情绪反应。
核心要点
- Meta裁员8000人占员工总数10%，累计已裁减约25000人
- Google I/O 2026展示搜索功能重大AI变革，引入代理式搜索体验
- AI技术引发年轻一代和AI从业者配偶群体的负面情绪反应
结构提纲
按章节快速跳转。
Meta正在进行新一轮裁员，影响约8000名员工，占其劳动力的10%。
Google I/O 2026大会上发布了搜索功能的重大AI驱动变革。
AI技术在毕业生群体和AI从业者配偶中引发了复杂的负面情绪。
Elon Musk对OpenAI和Sam Altman的诉讼以完全败诉告终。
思维导图
用一张图看清主题之间的关系。
查看大纲文本（无障碍 / 无 JS 友好）
- 科技行业AI趋势分析
- Meta危机
- 大规模裁员
- 员工士气低落
- Google革新
- I/O 2026发布会
- AI搜索变革
- AI社会反响
- 毕业生反感
- AI从业者配偶不满
金句 / Highlights
值得收藏与分享的关键句。
Meta正在进行新一轮裁员，影响约8000名员工，占其劳动力的10%。
Google I/O 2026大会上发布了搜索功能的重大AI驱动变革，引入代理式搜索体验。
Elon Musk对OpenAI和Sam Altman的诉讼以完全败诉告终。
本周在《奇异山谷》播客中，团队讨论了 Meta 最近的裁员以及他们从员工那里听到的关于公司日益严峻的氛围。他们还谈到了埃隆·马斯克与 OpenAI 的诉讼失败，并分享了谷歌年度大会的亮点，包括一项雄心勃勃的 AI 愿景，旨在改变人们搜索网络的方式。最后，最近的大学毕业生和其丈夫从事 AI 行业的女性有什么共同点？他们都不再想听到关于 AI 的话题。
本期提到的文章：
你可以通过 Bluesky 在 @brbarrett 关注 Brian Barrett，在 @zoeschiffer 关注 Zoë Schiffer，在 @leahfeiger 关注 Leah Feiger。我们的邮箱是 [uncannyvalley@wired.com](mailto:uncannyvalley@wired.com)。
如何收听
你总是可以通过本页的音频播放器收听本期播客，但如果你想免费订阅以获取每一期节目，可以按照以下步骤操作：
如果你使用的是 iPhone 或 iPad，打开名为“播客”的应用程序，或者点击这个链接。你也可以下载像 Overcast 或 Pocket Casts 这样的应用程序，并搜索“奇异山谷”。我们也在 Spotify 上。
文本稿
注意：这是自动生成的文本稿，可能包含错误。
Zoë Schiffer：欢迎收听 WIRED 的《奇异山谷》播客。我是 Zoë Schiffer，商务与行业总监。
Brian Barrett：我是 Brian Barrett，执行编辑。
Leah Feiger：我是 Leah Feiger，政治与科学总监。
Brian Barrett：而且我们所有人今天都在同一个房间——
Zoë Schiffer：天哪。
Brian Barrett：——第一次为这个播客聚在一起。
Zoë Schiffer：同一个房间。
Leah Feiger：我被邀请加入了群聊。
Zoë Schiffer：是的。
Brian Barrett：看看这个。
《奇异山谷》主持人 Zoë Schiffer、Brian Barrett 和 Leah Feiger。摄影：WIRED
Zoë Schiffer：今天在节目中，我们将讨论 Meta 的全面崩溃，特别是关于 大规模裁员。我们采访了超过十几名员工，结果发现裁员远不是 Meta 员工状况不佳的唯一原因。
Brian Barrett：当然，我们不会错过 埃隆·马斯克的判决。他在与 Sam Altman 和 OpenAI 的诉讼中败诉，败得一塌糊涂，尽可能地戏剧化。我知道 Zoë，你期待着讨论这一点。
Zoë Schiffer：是的。
Brian Barrett：我还期待着讨论 谷歌的年度开发者大会 I/O，他们在会上推出了 对搜索的戏剧性变革。
Leah Feiger：你可能已经看到，谷歌前 CEO 埃里克·施密特最近在毕业典礼上因赞扬 AI 而被毕业生们嘘声。我们将探讨为什么年轻人可能会使用 AI，但他们对它有非常复杂的情感。稍后在节目中，我们将听到为什么 嫁给 AI 男人们的女性已经受够了。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
Zoë Schiffer：是的。
Zoë Schiffer：首先，让我们深入探讨 Meta 正在发生的事情。这周，公司正在裁员大约 10% 的员工，总计约 8,000 人。这是继过去几年中已经进行的多轮裁员之后的最新一轮，作为马克·扎克伯格的“效率年”计划的一部分，该计划始于 2023 年，现在转向 AI 优先的工作场所，他正试图开发和实施这一计划。虽然这些最新的裁员规模不如之前的一些轮次，但它们引起了广泛关注，因为 Meta CEO 马克·扎克伯格表示，裁员的部分原因，至少在很大程度上，是因为公司在 AI 和数据中心上投入了大量资金。
Brian Barrett：我们是在周二录制这个节目，但我们可以如此全面和自信地讨论这个问题，是因为 Meta 早就宣布了这个消息。
Leah Feiffer：哦，是的。
Zoë Schiffer：他们没有宣布，消息是泄露的。
Brian Barrett：消息泄露了，然后公司后来承认了。
Zoë Schiffer：几周后。
Brian Barrett：是的，但仍然，已经有一段时间了——
Zoë Schiffer：已经有一段时间了。
Brian Barrett：——所以我们可以讨论它。
**Zoë Schiffer
Brian Barrett: —that this has been out in the open, which has resulted in, I think, a little bit of chaos time inside of Meta, because you've got, a what, a 1 in 10 chance of not having your job anymore?
Zoë Schiffer: Yeah, it's impacting morale in really horrific ways. But it's not the only thing, as we've said. Mark Zuckerberg is also really encouraging employees to use AI. There've been all sorts of changes internally to that end. Some people really like it and are adopting it. Some people are really pushing back on it. But I think for a lot of employees who joined Meta during this era of endless perks, lots of job security, and a relatively chill atmosphere compared to some of the other startups in the Valley, this is a big shift.
Leah Feiger: Let's invest.
Zoë Schiffer: They've had that going for a while.
Leah Feiger: It wasn't full Google, but it had that vibe. To me, someone so outside of this in every single way, I know about these layoffs because they've been, (A) so chaotic, but (B) in some ways, needlessly so. Not to say that other tech companies aren't firing scores of workers all the time. That feels like something we discuss on this podcast frequently, but this is happening with such a large runway and in a way that's making employees feel so terrible about themselves.
Brian Barrett: Well, because it's not just the layoffs, right? It's also, even if you stay there, if you're not culled from the herd, you are going to have to deal with this world in which you've got spyware on your laptops training AI to probably take your job at some point, right?
Zoë Schiffer: Explain that a little bit.
Brian Barrett: Meta announced, and this was more public, that they were going to put software on employee laptops that would monitor their keystrokes and how they move their cursors and basically how they do their job as Meta engineers and use that as training data for their own internal models to try to make their AI models better, because they're running out of other sources.
Zoë Schiffer: And could you opt out of that, Brian?
Brian Barrett: That's a great question. I'm so glad you asked. You could not opt out.
Zoë Schiffer: I felt you didn't know the answer to that one.
Brian Barrett: In fact, when an employee asked in a very public forum within Meta, "Hey, could we not do this?" Zoë, the response was?
Zoë Schiffer: Oh, absolutely you're going to do this, and shame on you for asking. And some of the employees who are staying, actually thousands of the employees who are staying, are getting drafted into the AI ranks. We published a piece today that was kind of about the morale inside the company, but also how there's been this mad dash to use up perks and stipends that employees have. But one of the things that's said at the end was that remaining employees are being asked to join AI teams. So whatever your job was previously, you're being internally drafted into the AI ranks, and now your job is going to look quite different.
Brian Barrett: That's like 7,000 people.
Zoë Schiffer: Yes.
Leah Feiger: I've actually heard people use the word “raptured.”
Zoë Schiffer: Oh, my gosh.
Leah Feiger: Isn't that—
Zoë Schiffer: And I wish we had that in the story.
Leah Feiger: I'm so sorry, but raptured into other teams. All of a sudden one day they've just disappeared. After this layoff, has Zuckerberg and co. proposed a sort of coherent leadership plan or proposal? What happens after this?
Zoë Schiffer: This is the confusing thing according to employees I've talked to, because the tough thing about what's happening right now is that Meta is actually experiencing record or near-record profits and revenue growth. The company is doing exceptionally well, but the company is not doing exceptionally well because of artificial intelligence. I talked to employees who are on Instagram, and they say, "Look, our main competitor is TikTok. TikTok's not an AI company." In fact, you're trying to pivot to this thing that's really not at all why we're printing money, and now you're laying off a bunch of us because of that thing when actually we're doing our jobs quite well because the company is printing money.
Brian Barrett: Yeah. And there seems to be, and I think our reporting has shown, a little bit of mission drift within the company. You've seen that not just with AI; you've seen that, I think, for a long time when you see this $80 billion bet or whatever it was on the metaverse, and then saying, "Oh, never mind, here's this new shiny thing." AI is not another metaverse; AI, I think, has a better business case behind it. But at the same time, to your point, right now it's not making money.
Zoë Schiffer: No. And I talked to two people who were personally recruited by Mark Zuckerberg to join the very fancy AI effort, and both of them said, "Look, the vision was AI-generated slop for Instagram and the other Meta properties." It just wasn't inspiring. And meanwhile, you have OpenAI and Anthropic, not to say they've done it, but their mission is, "We're going to completely change the economy and cure cancer."
Leah Feiger: As opposed to make your grandmother's feed the most destructive thing you can ever see. Yeah.
Zoë Schiffer: So people were just not inspired.
Brian Barrett: And then even Meta has acknowledged that 10 percent-ish of its ad revenue comes from scams. They're like, "Yes, we know there are scams. We know we make a lot of money off them." And there's a presumed, "We're on it," but not enough probably.
Leah Feiger: Yeah. I think that's a big problem. I think that's a big problem. I think that's a big problem. I think that's a big problem. I think that's a big problem.
Brian Barrett: So, Leah, you're going to take us to the next story.
Leah Feiger: So, this is a story that I've been working on for a while, and it's about the rise of the so-called “influencer economy” and how it's affecting young people's mental health. So, I've been looking into this for a while now, and I've spoken to a lot of experts in the field, and it's really concerning. So, basically, what's happening is that social media platforms are designed to be addictive, and they're using algorithms to keep people engaged for as long as possible. And this is having a really negative impact on young people's mental health.
Brian Barrett: Yeah, I've heard about this. So, like, these algorithms are showing people content that's tailored to keep them hooked, right?
Leah Feiger: Exactly. So, they're using data from your browsing history, your search history, your likes, your shares, everything, to show you content that they think you'll engage with the most. And a lot of the time, that means showing you stuff that's really sensational or really provocative, stuff that's going to get an emotional reaction out of you.
Brian Barrett: So, like, if you tend to engage with posts that make you angry or sad, the algorithm will show you more of that?
Leah Feiger: Yeah, pretty much. And that can create this feedback loop where you're constantly being exposed to content that's triggering those emotions, and it can really take a toll on your mental health over time.
Zoë Schiffer: And I think it's not just about the content itself, but also about the way these platforms are designed. So, for example, the infinite scroll on Instagram or TikTok, where you just keep scrolling and scrolling and there's no end in sight. That can be really addictive because your brain is constantly being stimulated with new information.
Leah Feiger: Exactly. And then there's also the whole influencer culture, where young people are looking up to these influencers and trying to emulate their lifestyles, which can lead to feelings of inadequacy and low self-esteem.
Brian Barrett: Yeah, I've seen that a lot with my own friends' kids. They're always comparing themselves to these perfect-looking influencers on Instagram and feeling like they don't measure up.
Zoë Schiffer: And it's not just about physical appearance; it's also about lifestyle and success. So, these influencers are portraying this idealized version of life, and young people are internalizing that and feeling like they need to achieve the same level of success or else they're failures.
Leah Feiger: Exactly. And the thing is, a lot of these influencers are using filters and editing tools to make themselves look perfect, and young people don't always realize that. They think that's reality, and it's not.
Brian Barrett: So, what can be done about this? Is there any way to regulate social media platforms to make them less harmful to young people's mental health?
Leah Feiger: Well, that's a big question. There are some regulations in place already, like age restrictions on certain platforms, but a lot of experts argue that more needs to be done. Some have proposed things like limiting screen time for young people, or having social media companies disclose when they're using algorithms to show certain content.
Zoë Schiffer: And I think education is also really important. Teaching young people about the ways in which social media can manipulate them, and how to be critical consumers of the content they're seeing.
Leah Feiger: Yeah, media literacy is key. But it's a complex issue, and there's no easy solution.
Brian Barrett: So, what's the takeaway here? Should parents be restricting their kids' social media use?
Leah Feiger: I think it's important for parents to be involved and to have open conversations with their kids about social media and its potential risks. But completely restricting their use might not be realistic or even beneficial, because social media is such a big part of young people's lives nowadays.
Zoë Schiffer: Yeah, it's about finding a balance. Social media can have positive effects too, like connecting people and providing platforms for self-expression. It's just about being aware of the potential downsides and taking steps to mitigate them.
Leah Feiger: Exactly. So, I think the key is education and awareness, both for young people and for parents.
Brian Barrett: Alright, well, that's a wrap for today's episode. Thanks for tuning in, and we'll see you next time.
Leah Feiger: Bye everyone!
Zoë Schiffer: Take care!
Leah Feiger: We're seeing layoffs or announcements of layoffs in a lot of places, like Microsoft, Coinbase, Cisco announced it was laying off 4,000 employees. Is this the spring of layoffs? What are we looking at here?
Brian Barrett: Yeah, I think it's the same conversation that is evolving a little bit where a lot of times it's cover for having overhired. But increasingly, I think, Zoë, you've made this point, it actually is getting to be the point where AI can replace some engineers, or not entirely, but at least you can have a couple of engineers overseeing some agentic AI that is more effective than 50 engineers.
Zoë Schiffer: I've talked to a ton of people about this, and my opinion, which I'm open to evolving over time, is that if you have really talented high-level engineers, they can manage agents that will do the work of lower-level engineers. So what you're losing now is the entry-level jobs. And we're seeing that in studies. So when we look at job loss and AI job replacement, what's happening is that entry-level jobs are being replaced by artificial intelligence.
Most Popular
Leah Feiger: I feel like you have evolved on this in some ways. Over the time that we've been talking about this, you really went from like, "No, people aren't losing their jobs yet." We're now in, this is starting to happen, as Brian said. What's the next stage of this? Just tons more layoffs? Is this going to happen in a bigger, faster way or are we just going to see hiring just stagnant across the board?
Zoë Schiffer: It's interesting. Brian brought up Google I/O, which I'm reluctant to talk about.
Brian Barrett: This is crazy to me. Go ahead. We'll get there.
Leah Feiger: This is amazing.
Zoë Schiffer: Demis Hassabis talked to Will Knight, one of our reporters, today, and he said, "I don't think we should be having layoffs. I think that AI should create more productivity and we should be doing more." So I think you're going to see companies that are like, "Yeah, we can do even more than we could previously. We're just going to do more things, build more things, ship more product." But then I think you are going to see a lot of companies that say, "We can build and run Shopify with a handful of engineers, not the team of hundreds that we had previously." That's just an example.
Brian Barrett: Speaking of ways in which AI companies grow and change, Elon Muskofficially lost his lawsuit to Sam Altman and OpenAI this week.
Zoë Schiffer: Such a special moment.
Brian Barrett: It was. It was a special moment. To get people caught up a little bit who have not been tracking this as obsessively as I know Zoë has, and as Leah has too, Elon Musk had sued over claims that OpenAI illegally abandoned its nonprofit mission and turned into this for-profit giant. It took a jury slightly less than two hours to say, "No, go away."
Zoë Schiffer: Incredible.
Brian Barrett: But it was interesting too, the reason that they said that, they didn't even bother dealing with the merits. The statute of limitations had expired on this basically. And they said, "It's too late to bring this. If you had wanted to do this, you should have done this a while ago. And even beyond the statute of limitations, maybe you have more credibility if you're doing this before you are building your own giant competitor to OpenAI and have such a clear monetary interest beyond whatever compensation you get from the trial." When the decision was released on Monday, Judge Yvonne Gonzalez Rogers said that in her eyes, the trial had been worthwhile to bring clarity to the dispute and that there was, quote, "a substantial amount of evidence to support the jury's findings, which is why I was prepared to accept the jury's findings and dismiss on the spot," which just to clarify, the jury decision was only one step. We needed the judge to also make her own determination, which happened almost immediately.
Most Popular
Zoë Schiffer: I was talking to someone about this yesterday, and I think that Elon Musk was trying to make the case that the clock should only have started when he realized there was a breach of the trust, basically when he realized that OpenAI was no longer a nonprofit and he was allowed to make that case in court. I do think a lot of people were confused on this point because they were like, "A statute of limitations thing seems like something he could have been told before." But I think you are allowed to argue the point. But this is why the entire trial we were like, "He has to make a very compelling argument that he didn't find out that OpenAI was starting this for-profit until 2023." And the evidence did not back it up.
Brian Barrett: No. Also, I should say, to no one's surprise, Elon Musk is going to appeal or says he's going to appeal. He does have infinite money to do it.
Zoë Schiffer: Marc Toberoff had one word leaving that courtroom, Elon Musk's lawyer, and he just said, "Appeal."
Brian Barrett: Yeah. He also unsurprisingly posted about it on X saying of the judge, "She just handed out a free license to loot charities if you can keep the looting quiet for a few years."
Leah Feiger: I like that he called her an activist judge. I think that that has taken on a new realm of popularity in the Trump era of determining that these judges in this very specific branch of the government are in fact acting against one's best interest.
Zoë Schiffer: And again, there were emails where Elon Musk was very aware that they were starting a for-profit arm of the company, that they needed to do that to raise money. He even tried to start an AI lab within Tesla that he wanted to recruit Sam Altman to join, and then he wanted Tesla, a for-profit company famously, to buy OpenAI or acquire it. I was editing the prewrites and Paresh Dave, one of our great reporters, had written three versions. And the first version I edited was like, "Elon Musk wins." And I was just like, "There's no way this version is ever seeing the light of day."
Brian Barrett: He didn't need to write that.
Leah Feiger: What does this mean going forward for OpenAI?
Zoë Schiffer: It's interesting. I actually think it gives them a lot of momentum and now they're going to go full speed ahead. I do think the image of OpenAI and Sam Altman, in particular, has been a bit tarnished throughout this trial. It came on the heels of a series of reporting about his allegedly duplicitous behavior. I don't think he looks necessarily better coming out of the trial, but I think the company is really bullish on its IPO, which could come as soon as this year. It's full-steam ahead on enterprise code, which is kind of the phrase of Silicon Valley right now. So I think people are feeling really, really good over there.
Brian Barrett: I do think that, to your point, this was also a trial in the court of public opinion, right? A lot of this was trying to embarrass the opponent, but it was just a mud fight where everybody got dirty. Nobody came out of this looking great. I don't think anyone changed anybody's minds about, "Oh no, you should be entrusted with the future of this powerful technology." Everybody—
Zoë Schiffer: The maker of butt pillows for courtrooms, they're the real winners.
Leah Feiger: That was their best product.
Brian Barrett: The rampant butt pillow usage in the courtroom by—and different brands of butt pillow too.
Zoë Schiffer: Different brands of butt pillow. Yeah, fancy ones, cheaper ones. Everyone's using a fancy butt cushion on those rock hard seats. Yeah. I think Elon Musk is a very litigious figure. I think he is willing to roll the dice and try for a lawsuit on the off chance that it could be successful. But I also think he knew that, and he said this in text messages that were revealed as part of the trial when there was settlement conversations before it started, and he said, "You," being Sam Altman and Greg Brockman, "are going to be the most hated men in America by the end of this." And I think that was partially his intent, at least we think.
Brian Barrett: I'm about to be the most hated man on this podcast.
Leah Feiger: I'm so ready. I couldn't be more ready.
Brian Barrett: And I don't know why this was contentious. I'm genuinely baffled. Again, we're recording this on Tuesday. Google had its I/O conference, its big developer conference every year. And when we started planning this podcast, I said, "Hey, we should probably talk about Google I/O." And you both—
Zoë Schiffer: Said, "Oh my God, yes, we love Google I/O."
Brian Barrett: —strongly disagreed. Acted like I had a second head growing out of my neck, like I was suggesting the most insane thing in the world. Before we talk about Google I/O, why?
Leah Feiger: I have my own reasons. I'm curious what Zoë's are.
Zoë Schiffer: Yeah, it's boring.
Brian Barrett: OK.
Leah Feiger: OK, good.
Brian Barrett: OK. Leah?
Leah Feiger: Yes, moving on. I feel funky sometimes when we're being spoon-fed news by these tech companies or by the US government or by whatever entity we're reporting on, which isn't to say that reporting on these very important changes to, I don't know, the world's largest and most impactful and powerful search engine isn't entirely valuable, but is it something that I want to speak about in this sacred space of the podcast?
Brian Barrett: Sure. I guess what I would say is, as with anything, we don't transcribe what they say at these events.
Leah Feiger: It's true.
Brian Barrett: We put them in proper context and do the reporting to back it up. We have a great team of Gear reporters—
Leah Feiger: Without a doubt.
Brian Barrett: —who do phenomenal work and did phenomenal work today.
Leah Feiger: Without a doubt. In full love and support of them.
Brian Barrett: So I appreciate where you come from, but you're both wrong.
Zoë Schiffer: Wow. And he's our boss, so we're going to listen.
Leah Feiger: Yes, we are.
Brian Barrett: So, Google I/O. So, Google I/O is Google's big developer conference. It's where they announce all the new stuff that they're working on, and this year was no exception. They had a lot of announcements, but the big one was Gemini, which is their new large language model. So, they're competing with OpenAI and Microsoft and everyone else in the AI space. They also announced some updates to Android, their mobile operating system, and some updates to their AR and VR platforms. So, it was a pretty big event.
Zoë Schiffer: Yeah, and I think one of the things that was interesting about it was that they were really trying to position themselves as the responsible AI company. So, they talked a lot about safety and security and all of that. And I think that's in response to some of the concerns that have been raised about AI in general, and specifically about some of the things that OpenAI has done.
Leah Feiger: Yeah, I think that's a really important point. I mean, Google has been working on AI for a long time, obviously, and they have a lot of experience in terms of building these systems and making sure that they're safe and secure. So, I think it's important that they're emphasizing that now, especially as these technologies become more mainstream.
Brian Barrett: Yeah, and I think that's one of the reasons why I wanted to talk about it on the podcast, because it's not just about what Google is announcing, but also about how they're positioning themselves in the AI landscape. And I think that's something that's really important for our readers to understand.
Zoë Schiffer: Absolutely. And I think it's also worth noting that Google is facing a lot of pressure from regulators and from the public to be more transparent about how their AI systems work and to ensure that they're being used ethically. So, I think that's another reason why they're emphasizing safety and security so much.
Leah Feiger: Yeah, and I think that's something that's going to be ongoing, right? As these technologies continue to develop, there are going to be more and more questions about how they're being used and who's benefiting from them. So, it's important for companies like Google to be thoughtful about how they approach these issues.
Brian Barrett: Definitely. So, moving on to some other news. There was a big story this week about Amazon and its treatment of employees. There was a report that came out detailing some pretty alarming working conditions in their warehouses. Can you guys tell me more about that?
Zoë Schiffer: Yeah, so there was a report from the Harkin Institute that looked into working conditions at Amazon's warehouses, and it found that employees are facing really tough conditions, including long hours, low pay, and little job security. There were also reports of employees being forced to work through injuries and not being given enough breaks. It's pretty disturbing stuff.
Leah Feiger: Yeah, and I think this is something that's been an issue for a while now. Amazon has been facing criticism for its treatment of workers for years, and it seems like not much has changed. It's really disheartening to see that even as the company continues to grow and make more profits, they're still not taking care of their employees.
Brian Barrett: Yeah, it's really frustrating. And I think it's important for consumers to be aware of these issues and to think about how their shopping habits might be contributing to them. But anyway, moving on. There was also some news this week about Apple and their plans for augmented reality. Can you guys fill me in on that?
Zoë Schiffer: Yeah, so there are reports that Apple is working on AR glasses, and they might be releasing them sometime next year. There's also talk about them integrating AR more deeply into their existing products, like the iPhone and iPad. It seems like they're really invested in this technology and want to be a leader in the space.
Leah Feiger: Yeah, and I think that makes sense, given how much they've been investing in AR and VR in recent years. They've been hiring a lot of talent in those areas, and they've been acquiring companies as well. So, it's clear that they see a lot of potential in these technologies.
Brian Barrett: Yeah, and I think that's something that's really exciting for the future. I mean, AR has the potential to completely change the way we interact with the world and with technology. So, it's interesting to see companies like Apple investing so heavily in it.
Zoë Schiffer: Absolutely. And I think it's also worth noting that other companies are investing in AR as well, like Microsoft with HoloLens and Magic Leap. So, it's going to be interesting to see how this space develops over the next few years.
Leah Feiger: Yeah, and I think that's something that our readers are really interested in. They want to know what's coming down the pipeline and how these technologies are going to impact their lives.
Brian Barrett: Exactly. So, speaking of future technologies, there was also some news this week about quantum computing. Google announced that they've achieved quantum supremacy, which is a pretty big deal. Can you guys explain what that means?
Zoë Schiffer: Sure. So, quantum supremacy is essentially when a quantum computer is able to solve a problem that a classical computer cannot solve in a reasonable amount of time. So, Google claims that their quantum computer was able to solve a specific problem in just a few minutes, whereas it would have taken a classical supercomputer thousands of years to solve the same problem.
Leah Feiger: Yeah, and this is a really big milestone because it demonstrates the potential power of quantum computers. If they can solve problems that are currently impossible for classical computers, that could have huge implications for fields like cryptography, materials science, and drug discovery.
Brian Barrett: Yeah, and I think that's something that's really exciting for the future of technology. But at the same time, it also raises some concerns, particularly around cybersecurity. If quantum computers become powerful enough, they could potentially break many of the encryption methods that we currently use to secure our data.
Zoë Schiffer: Exactly. So, it's important that researchers and companies start thinking about quantum-safe encryption methods now, before quantum computers become powerful enough to pose a real threat.
Leah Feiger: Yeah, and I think that's something that's already being worked on. There are efforts underway to develop new encryption standards that are resistant to quantum attacks.
Brian Barrett: That's good to hear. So, moving on to some lighter news. There was a story this week about a new AI-powered art generator that's causing a stir in the creative community. Can you tell me more about that?
Zoë Schiffer: Yeah, so there's this new tool called DALL-E 2, which is an AI system that can generate images based on textual descriptions. So, for example, if you type in "a red cat sitting on a couch," it can create an image of that. It's really impressive how realistic some of these generated images can be.
Leah Feiger: Yeah, and it's causing a lot of debate in the art world because some people are concerned that it could lead to job loss for human artists, or that it could devalue their work. On the other hand, some artists are embracing it as a new tool for creativity.
Brian Barrett: It's an interesting dilemma. I think it's similar to what happened with photography in the 19th century, when some painters feared that photography would make their art obsolete. But in reality, it just opened up new possibilities and changed the way people approached art.
Zoë Schiffer: Exactly. So, only time will tell how this technology will impact the art world, but it's definitely an exciting development.
Leah Feiger: Yeah, and I think it's important for artists to adapt and find ways to incorporate new technologies into their work, rather than fearing them.
Brian Barrett: Absolutely. So, that's all the news for this week. Thanks for tuning in, and we'll see you next time.
Zoë Schiffer: Thanks!
Leah Feiger: Bye!
布莱恩·巴雷特：原因如下。谷歌搜索正在经历比以往任何时候都更大的变革。想想现在的搜索，它不再只是一个搜索框。它一直在朝着这个方向发展。它不再只是10个链接，甚至不再只是一个链接。现在的谷歌搜索基本上是一个聊天机器人。它是一个对话式查询。它会扩展。比如，当你输入“嘿，谷歌，你认为我应该这样做吗？”无论是什么问题，它不仅会显示文本，还可能会显示一个它刚刚生成的交互式图形。不再需要你说“我要去谷歌图片找这个”，而是“这里有你的图片，还有这个。”这是第一阶段。第二阶段将是代理搜索（agentic search）。所以，这意味着什么？你去谷歌，比如说，举个例子，“告诉我，当我最喜欢的名人推出新鞋款合作时。”然后你就完了。谷歌的AI代理将会监控网络，为你进行搜索，并通过你的谷歌应用发送通知，说，“嘿，你一直在找的东西刚刚发布了。”意思是，你不再需要访问网站，因为所有的东西都在谷歌内部；你不再需要搜索，甚至不再需要使用互联网，因为代理会为你处理一切。谷歌将介导你与网络的每一次互动。这是一个非常、非常重大的变化，我认为这绝对值得讨论。
莉娅·费格：这对我们的影响是什么？对Wired.com来说意味着什么？
布莱恩·巴雷特：不太好。
莉娅·费格：不好？好吧。
布莱恩·巴雷特：但我认为我们和其他出版商已经假设不能依赖谷歌有一段时间了。这就是为什么与我们的受众建立直接关系如此重要，我们也在这方面投入了不同的资源。
莉娅·费格：这是一个非常重要的时刻，要说，请订阅Wired.com。
布莱恩·巴雷特：请访问Wired.com。你可以将WIRED标记为谷歌的首选来源，等等。但我想每个人都在为这个时刻做好准备。它感觉比以往任何时候都更近，因为有这些通用的AI概述，但现在AI会审查整个事情。
最受欢迎
佐伊·希弗：是的。正如你所说，我们已经知道谷歌正朝这个方向发展，但我确实认为这对公司来说是一个非常有趣的时刻，因为搜索是其商业模式中非常重要的一部分，而搜索上的广告又是其收入的重要来源。所以，这感觉有点像它在自我蚕食，同时也在为新功能做准备。我很好奇，我假设他们会在这个功能中插入广告，这就是他们赚钱的方式，但我想他们也会在短期内受到影响。
布莱恩·巴雷特：是的。
莉娅·费格：在品牌方面，以及你的搜索体验未来会是什么样子，这确实是一个重要的时刻。我得说，肯定会有磨合期的问题。
布莱恩·巴雷特：是的，我确定。我认为，就像很多人不喜欢AI概述，并且一直在请求关闭它的方法，但并没有一个简单的方法来做到这一点，这会是同样的情况，但同时，谷歌非常明确地致力于这一点。很明显，这是他们希望网络运作的方式。我更担心的不是谷歌的底线，而是同样的主题，但加速了，即一旦人们不再访问网站，只有机器人访问网站时，信息的供应就会被切断。对于小型出版商来说尤其如此。
莉娅·费格：最终会耗尽。
布莱恩·巴雷特： exactly。网络本身会萎缩成一个谷歌形状的黑洞。
佐伊·希弗：是的，我知道。我最近看到山姆·奥特曼被问到这个问题，比如，“在这个世界中，出版商会发生什么？”答案是小额支付。我意思是，我们的行业不会靠10美分来支撑。
莉娅·费格：谁a？
佐伊·希弗：或者，我不知道会是什么，但会是微不足道的。
布莱恩·巴雷特：每隔六年，有人就决定小额支付将拯救 journalism，但他们从来没有做到过。
佐伊·希弗：不。
莉娅·费格：每次我听到这个，我都感到愤怒。我真的——
布莱恩·巴雷特：——并且他们从来没有做到过。
佐伊·希弗：我和行业的人交谈，他们会说，“那是未来。我也很喜欢你写的关于制造iPhone的沙子的那篇6000字的文章，或者其他什么。”而我会说，“你知道，报道那篇文章的费用是多少吗？”仅仅支付给自由撰稿人的费用就是几千美元。
布莱恩·巴雷特：我要把我们拉回来——
佐伊·希弗：对不起。
Brian Barrett: —implications for us and focus again on the broader implications, because there's one other part. There were a lot of announcements today. Search, to me, was the biggest one. I'll say too, Google has announced big changes before and then not actually gotten there and not gotten there in the way that they initially proposed. So there's a little bit of an asterisk next to a lot of this. I think it's probably mostly coming, though. But they also announced something called Gemini Spark, which I just wanted to talk about very briefly. Gemini Spark is Google's answer to OpenClaw. We remember OpenClaw. We had fun with OpenClaw.
Leah Feiger: Yeah, definitely.
Brian Barrett: Delightful. OpenClaw, a little agent that can just run autonomously, has access to all your stuff. Gemini Spark is Google's answer to OpenClaw. It's the same sort of autonomous assistant that can do all the things, but because it's Google, it has access to everything that you do on Google or any app that you tie in. So you can see how that becomes really powerful, and OpenClaw was already a privacy question mark, this even more so. You give it access to your Gmail, give it access to your calendar, give it access to everything that you touch online, your entire search history, and just say, "Hey, go do this. Remind me of this, do that."
Leah Feiger: I couldn't be less interested in a product.
Zoë Schiffer: We know.
Brian Barrett: But here's the thing. I agree, it's not for me, but it's the kind of thing where this is going to be presented eventually to billions of people. The scale is the thing, who don't necessarily know or understand or appreciate, not talking down to anybody, but this is the way in which this thing will have access to your stuff, can go wrong potentially.
Zoë Schiffer: I would say that OpenClaw was kind of a one-man project. The founder is now part of OpenAI, but this was a bootleg kind of experiment. I would imagine that when Google does it, they're implementing more safety guards.
Brian Barrett: No, you're right.
Zoë Schiffer: I'm not saying it's nothing. I'm sure this is going to be changed.
Leah Feiger: Fingers crossed up and down the line.
Zoë Schiffer: But I would expect that if they're rolling it out to millions or billions of people that we are going to see some additional checks and balances.
Brian Barrett: Probably.
Zoë Schiffer: Here's to hoping.
Leah Feiger: Well, speaking of the major AI players, I think we all know that the reputation of AI in the public eye has taken a little bit of a nosedive, which I personally love. I am loving the backlash. I literally—
Zoë Schiffer: Leah's personally behind it.
Leah Feiger: Yes, exactly.
Zoë Schiffer: Dark money? Leah Feiger.
Leah Feiger: Every single little story and comment warms my AI Grinch heart. And we're continuing to see reports of people really not happy about data centers being built near their homes to power all of this AI, raising their electricity bill while at it. And then there's the effect of AI in an increasingly tough workplace. We were just talking about the Meta layoffs, et cetera. So it's not probably a huge surprise to everyone here that last week when former Google CEO Eric Schmidt took to the podium to speak to the graduating class at the University of Arizona, he brought up AI and things didn't go particularly well.
Eric Schmidt, archival audio: _It will touch every profession, every classroom, every hospital, every laboratory, every person, and every relationship you have. I know what many of you are feeling about that. I can hear you. [Boos from the crowd] There is a fear in your generation that the future has already been written, that the machines are coming, and I understand that fear._
Leah Feiger: And Schmidt's not even the only speaker who has received this kind of response from graduating students, the very people who are supposedly wholeheartedly embracing this technology. Real estate executive Gloria Caulfield, was also booed after she referred to AI as the next industrial revolution during a commencement address at the University of Central Florida.
Gloria Caulfield, archival audio: _The rise of artificial intelligence is the next industrial revolution. [Boos from the crowd] What happened? OK. I struck a chord._
Leah Feiger: I am just beaming, you guys.
Brian Barrett: Sorry. I suffer from secondhand embarrassment and can't handle it.
Leah Feiger: These are high-profile wealthy executives who are entirely insulated—them, their families, their children, their grandchildren—from the effects of AI now and future on the workplace. These people are not concerned about AI taking their jobs. These people are not graduating into a market where everyone's going, "I don't need an assistant. Have you heard of OpenClaw?" Of course everyone's flipping out at them. There is an entire category of our population that doesn't know how they're going to get work experience to all of a sudden not be considered irrelevant by our tech overlords. Of course they're booing.
Brian Barrett: Here's the thing. I think there's an argument, don't boo me, that they're not wrong that this could be the next industrial revolution, but it's sort of like saying, "So get ready to head into those factories." It's the wrong message to the wrong set of people.
Zoë Schiffer: It's the wrong tone, I would say.
Leah Feiger: Definitely the wrong tone.
Brian Barrett: Yeah, it's the wrong tone, but also maybe not the right message. I think that's the thing. It's like, "Hey, this is going to be great. It's going to change everything." And, yeah, it's going to change everything, but for a lot of people, that change is not necessarily positive.
Zoë Schiffer: Right. It's going to disrupt a lot of industries and jobs, and that's scary for a lot of people who are just entering the workforce or trying to figure out their career paths.
Leah Feiger: Exactly. And I think it's important to note that while these executives are touting the benefits of AI, they're often the ones who are going to be the ones reaping the most benefits, while the average person is going to be the one who's going to be displaced or have their jobs automated.
Brian Barrett: Yeah, and I think that's a valid concern. There needs to be more discussion about how to manage this transition, how to ensure that people aren't left behind, how to provide training and education for new skills that will be in demand in this AI-driven world.
Zoë Schiffer: Absolutely. And it's not just about the jobs that are going to be automated; it's also about the ethical implications of AI, like bias in algorithms, privacy concerns, and the potential for AI to be used in malicious ways.
Leah Feiger: Oh, absolutely. And I think that's why I'm so happy to see people pushing back against this uncritical embrace of AI. It's important to have these conversations and to question the narratives that are being pushed by these big tech companies.
Brian Barrett: Yeah, and I think that's what's happening here. People are starting to realize that AI isn't just this magical solution to all our problems; it comes with its own set of challenges and risks that need to be addressed.
Zoë Schiffer: Exactly. So, moving forward, it's important for policymakers, industry leaders, and the general public to have open and honest discussions about the role of AI in society and how to navigate its development responsibly.
Leah Feiger: Agreed. Now, let's see what other AI-related news has been making waves this week.
Brian Barrett: So, another thing that came up this week was the issue of AI-generated content in academic settings. There have been reports of students using AI tools like ChatGPT to write their essays and papers, which has raised concerns about academic integrity.
Zoë Schiffer: Yeah, it's a tricky issue because, on one hand, AI can be a valuable tool for learning and creativity, but on the other hand, it can be abused to cheat.
Leah Feiger: Absolutely. And I think it's important for educators to find ways to adapt their teaching methods and assessment strategies to account for the presence of AI tools.
Brian Barrett: Exactly. Some universities are already starting to implement AI detection tools to identify AI-generated content, but it's a cat-and-mouse game because AI is getting better at mimicking human writing.
Zoë Schiffer: Right. So, it's not just about detecting AI-generated content; it's about teaching students how to use these tools ethically and responsibly.
Leah Feiger: Exactly. And maybe even incorporating AI into the curriculum to help students understand its capabilities and limitations.
Brian Barrett: Yeah, that makes sense. Now, switching gears a bit, there was also news this week about AI being used in the arts. There's been a debate about whether AI-generated art should be eligible for awards and competitions.
Zoë Schiffer: Oh, that's an interesting topic. I've seen some amazing AI-generated art lately, but there's a lot of controversy around whether it should be considered on the same level as human-created art.
Leah Feiger: Yeah, and I think it comes down to the intent and the creative process. When a human creates art, there's a lot of emotion and personal experience behind it, whereas AI-generated art is based on algorithms and data.
Brian Barrett: But at the same time, AI is programmed by humans, and the artists using AI tools are making creative decisions about the input and the output.
Zoë Schiffer: True. So, it's a gray area, and I think it's going to take some time for the art world to figure out how to approach AI-generated art in terms of recognition and awards.
Leah Feiger: Agreed. Now, moving on to something a bit more practical, have either of you tried using AI tools for productivity or personal tasks?
Brian Barrett: Yeah, I've been experimenting with AI assistants for scheduling and organizing my tasks. It's been pretty helpful in saving time.
Zoë Schiffer: Me too. I've been using AI to draft emails and summarize long documents. It's been a lifesaver, especially with my busy schedule.
Leah Feiger: That's interesting. I've been a bit hesitant to rely on AI for such tasks, but maybe I should give it a try.
Brian Barrett: I think it's worth exploring. Just make sure to review and edit the AI-generated content to ensure it aligns with your intentions.
Zoë Schiffer: Absolutely. AI is a tool, and like any tool, it's only as good as the person using it.
Leah Feiger: Exactly. Now, before we wrap up, I wanted to touch on the environmental impact of AI. There's been a lot of discussion about the energy consumption of AI models and data centers.
Brian Barrett: Yeah, it's a valid concern. Training large AI models requires a significant amount of computational power, which in turn consumes a lot of energy, often from non-renewable sources.
Zoë Schiffer: Right. And with the rapid growth of AI, the environmental footprint is only going to increase unless we find more sustainable ways to power these technologies.
Leah Feiger: So, it's important for the AI industry to prioritize energy efficiency and invest in renewable energy sources.
Brian Barrett: Absolutely. Now, looking ahead, what do you think the future holds for AI? Any predictions?
Zoë Schiffer: Well, I think AI is going to continue to permeate various aspects of our lives, from healthcare to transportation to entertainment. But I also hope that there will be greater emphasis on ethics, transparency, and accountability in AI development.
Leah Feiger: I agree. I think we'll see more regulations and guidelines put in place to ensure that AI is developed and used responsibly.
Brian Barrett: And maybe, just maybe, we'll reach a point where the hype around AI starts to settle, and we can have more realistic and nuanced discussions about its benefits and drawbacks.
Zoë Schiffer: Fingers crossed for that.
Leah Feiger: Amen to that. Well, that's all the time we have for today. Thanks for joining me, Brian and Zoë.
Brian Barrett: Thanks, Leah.
Zoë Schiffer: Thanks for having us.
Leah Feiger: And to our listeners, don't forget to subscribe and leave a review. Until next time!
[End of Audio]
[End of Transcript]
Zoë Schiffer: And what's interesting about this to me is that we know college students are using AI, but like you said, they're pissed because they are graduating into a job market where people aren't hiring. And there's a couple of reasons for that. I don't think it's just that AI is already taking entry-level jobs, it's happening on some level, but not super, super widespread quite yet. It's also that people aren't leaving jobs because they're scared. So there's just not a lot of movement in the market right now.
Leah Feiger: It's not an elastic market, and you're looking at the Iran war and you're looking at rising gas prices. People aren't changing things up during an election year historically. There's so many reasons for that. So these people are graduating into a market that I do not envy them for so many reasons. I guess there's two parts to this. I'm very much confused as to why both Schmidt and Caulfield thought that this was the appropriate message, but also even as Zoë said, the appropriate tact. I'm kind of wondering if it's like, "In this beautiful world of changing technologies, you can go out and create changing technologies. The world is your oyster."
Zoë Schiffer: You're telling me a billionaire wasn't self-aware about the people.
Leah Feiger: Kill me.
Most Popular
Brian Barrett: Madness. There's actual statistics, I'll say, behind just how bad Gen Z feels about AI. A recent study from Gallup showed the percentage of respondents ages 14 to 29 who said they felt hopeful about AI declined down from 27 percent last year to 18 percent.
Leah Feiger: Wow.
Brian Barrett: That's very, very, very few people.
Zoë Schiffer: And postings for entry-level jobs in the US overall have declined about 35 percent since January 2023. So it's real. There's an impact on the market. I actually think that this is going to be an issue in the next election, which is so interesting because I definitely wouldn't have said that a few months ago.
Leah Feiger: Yeah, same.
Zoë Schiffer: Maxwell Zeff, one of our great AI reporters, has reported about Greg Brockman's donations to Trump and other MAGA leaders. And he's talked to Greg Brockman, president of OpenAI, who said that he feels like it's really important to give money to politicians who are bullish on AI. And I think the subtext there is that OpenAI and other companies are actually concerned about the lack of popularity for what they're building.
Brian Barrett: Quick thing on Greg Brockman. I think we should mention too, he's literally putting his money where his mouth is. He donated $25 million to MAGA Inc, which is the big Trump super PAC. There's real money in here in the pro-database side. There's less on the anti-database side, as these things tend to go, but it is across party lines. The opposition is really interesting. You've got Democrats, you've got Republicans pushing back in a way that is going to make for some weird coalitions this fall.
Zoë Schiffer: It's going to be really interesting because I went down to Abilene, Texas, with OpenAI a few months ago and I was really struck. Ted Cruz was there. The mayor of the town was there. It seemed like there was so much political support for this initiative. And I was immediately thinking, "I think that this is going to turn at a certain point." Right now you're like, "Look, it's going to create all these jobs. It's going to be so great. We're going into these areas that didn't have a lot of economic opportunity and we're creating it." But the thing about data centers is not only do they spike the water bills of the people who live close by, energy bill, all of that, but even if they create a certain amount of jobs at the beginning, and many of those jobs are being brought in from other states, you don't need that many people to run a data center once it's up.
Leah Feiger: So, lots of fun happening at the moment with AI world. Coming up after the break, we're going to dive into a fascinating story about why women in marriages to men obsessed with AI have just about had enough.
Most Popular
[break]
Zoë Schiffer: So, beyond the ever-increasing spending on AI, the latest releases, the suspected IPOs, yada, yada, there is also a more personal and strange side effect to the AI boom right now, what it is doing to family dynamics, particularly what it's doing to the wives of men who work in AI or would like to be working in AI, specifically the fact that these women are completely sick and tired of the whole damn thing. WIRED contributor, Alessandra Ram, reported on how AI has taken over some women's home lives and she's joining us now to talk about that piece.
Alessandra Ram: Hi, everyone. I'm excited to chat with you. Hello.
Leah Feiger: Hey, so happy you're here.
Zoë Schiffer: I absolutely loved this piece. I laughed out loud multiple times. You refer to women who are married to AI-pilled men as the, quote, "sad wives of AI," and you include yourself in that group. What do you all have in common? What do you share? And when did you first realize that this was not just something you were experiencing in your personal life, but was actually a pattern?
Alessandra Ram: So, I think what we all have in common is that we are married to men who are obsessed with AI, and that obsession is starting to take over our lives in a way that is not necessarily healthy or positive. I think that's the common thread. And I first realized that this was a pattern when I started talking to other women who were in similar situations, and hearing their stories and realizing that it's not just me feeling this way. It's a lot of women who are married to men who are really into AI.
Zoë Schiffer: So, can you walk us through some of the specific ways in which AI is impacting your personal lives and the lives of these other women that you spoke to?
Alessandra Ram: Sure. So, one of the main ways is just the amount of time that their husbands are spending on AI-related activities, whether it's working on AI projects, reading about AI, watching AI-related content online, etc. It's just taking up a lot of their time and attention, which is leaving less time and attention for their wives and their families. Additionally, there's often a lot of stress and anxiety around AI, especially as it relates to job security and the future of work. So, that's also impacting the home environment.
Leah Feiger: It's interesting because I feel like in a lot of ways, AI is being positioned as this savior technology that's going to solve all of our problems, but in reality, it's causing a lot of stress and anxiety for people, particularly those who are working in the field or are closely tied to someone who is.
Alessandra Ram: Exactly. And I think that's part of what's so frustrating for these women is that their husbands are so invested in this technology that's supposed to be solving problems, but it's actually creating more problems in their personal lives.
Zoë Schiffer: Yeah, and I think it's also interesting to consider the power dynamics at play here. In a lot of these relationships, the husband is the one with the career in AI, and the wife is maybe staying at home or has a less demanding job. So, there's this imbalance where the husband is bringing home the paycheck, but also bringing home all this stress and anxiety about AI.
Alessandra Ram: Absolutely. And I think that can lead to feelings of resentment and frustration on the part of the wife, who may feel like they're shouldering more of the emotional labor in the relationship, while their husband is focused on his career and AI.
Leah Feiger: It's also interesting to think about how this might be impacting the next generation. If parents are so consumed by AI and its implications, how is that going to shape their children's views on technology and the future?
Alessandra Ram: That's a really good point. I think it's possible that children growing up in these households could develop a certain attitude towards AI, perhaps seeing it as something that's all-consuming and stressful, or maybe even as something that's going to define their future in ways that are unclear right now.
Zoë Schiffer: So, in your reporting, you spoke to several women who are in these situations. Were there any common themes or strategies that they've used to try to cope with this?
Alessandra Ram: Yeah, definitely. One thing that a lot of them mentioned was trying to set boundaries around their husbands' AI-related activities. For example, designating certain times of the day or week where they can't talk about AI or work on AI projects. Also, encouraging their husbands to pursue hobbies or interests outside of AI, to help balance things out. Additionally, some of them have tried to educate themselves about AI, so that they can better understand what their husbands are going through and maybe even find ways to support them more effectively.
Leah Feiger: It's interesting that some of them are trying to educate themselves about AI. Do you think that helps alleviate some of the stress and anxiety, or does it just make things worse?
Alessandra Ram: I think it depends on the individual. For some women, learning more about AI helps them feel more connected to their husbands and what they're working on, which can be positive. For others, it might just reinforce their fears and anxieties about the technology. So, it's a double-edged sword, I suppose.
Zoë Schiffer: It's also worth noting that AI is not just affecting the lives of people working in the field or closely tied to it. It's impacting all of us in various ways, whether we realize it or not. So, in a way, these women are on the front lines of experiencing the effects of AI on society.
Alessandra Ram: Absolutely. And I think their experiences can serve as a window into some of the broader societal implications of AI, particularly in terms of how it's affecting relationships and family dynamics.
Leah Feiger: It's also interesting to think about how this might be impacting men and women differently. Are there any gender dynamics at play here that you've observed?
Alessandra Ram: That's a great question. I think in a lot of these relationships, the husband is the one with the career in AI, which can reinforce traditional gender roles where the man is the breadwinner and the woman is responsible for managing the home and family. However, I also spoke to some women whose wives work in AI, and they have their own set of challenges and frustrations. So, it's not exclusively a one-way street.
Zoë Schiffer: Yeah, and I think it's also worth considering that AI is still very much a male-dominated field, which might contribute to some of these dynamics.
Alessandra Ram: Definitely. And I think that lack of diversity in the field can lead to certain blind spots and biases in the way that AI is developed and implemented, which can have ripple effects throughout society.
Leah Feiger: It's also interesting to think about how AI might be exacerbating existing inequalities, particularly along gender lines. For example, if AI is taking over certain jobs that have traditionally been held by women, like administrative or customer service roles, that could have a disproportionate impact on women in the workforce.
Alessandra Ram: Exactly. And that's something that a lot of the women I spoke to were concerned about. They're seeing AI as a threat to their own job security, or to the jobs of their friends and family members.
Zoë Schiffer: So, in your piece, you refer to these women as the "sad wives of AI." Is there a sense of solidarity among them, or is it more of an individual struggle?
Alessandra Ram: I think there's definitely a sense of solidarity among them. They feel like they're going through similar experiences and can relate to one another's struggles. It's comforting for them to know that they're not alone in this.
Leah Feiger: It's interesting that you've given them this moniker, "sad wives of AI." Do you think that this is a label that they would embrace, or is it more of an outsider's perspective?
Alessandra Ram: I think it's a bit of both. Some of them have embraced the label and see it as a way to connect with others who are going through similar experiences. Others might see it as a bit reductive or oversimplified. But overall, I think it resonates with them in some way.
Zoë Schiffer: So, moving forward, do you think that there's a way for AI to be developed and implemented in a way that doesn't have such negative impacts on family dynamics and personal relationships?
Alessandra Ram: I think that's definitely possible. It's important for developers and policymakers to consider the social and emotional impacts of AI, not just the technological capabilities. By designing AI systems that are more transparent, ethical, and user-friendly, we can help mitigate some of the stress and anxiety that comes with AI.
Leah Feiger: It's also important for individuals to set boundaries and prioritize their mental health and relationships, even in the face of technological advancements.
Alessandra Ram: Absolutely. Self-care and communication are key in managing the impacts of AI on our personal lives.
Zoë Schiffer: Well, thank you so much for sharing your insights with us today, Alessandra.
Alessandra Ram: Thank you for having me.
Leah Feiger: It's been a pleasure.
Brian Barrett: And that's a wrap for this episode. Thanks for tuning in, and we'll see you next time.
Zoë Schiffer: Bye everyone.
Leah Feiger: Take care.
Alessandra Ram: Thanks again.
Brian Barrett: See ya.
在技术文章翻译中，我将遵循以下步骤来确保翻译的质量和准确性：
- 理解原文：首先，我需要彻底理解原文的内容，包括技术概念、上下文和作者的意图。
- 保留格式：在翻译过程中，我将保持原始的Markdown格式，如标题、列表、代码块和链接等，以确保译文的可读性和结构完整性。
- 技术术语处理：对于技术术语，我将保持其英文原貌，因为这些术语在中文环境中通常也使用英文，或者有公认的中文翻译。例如，API、SDK、Docker等。
- 自然流畅的翻译：我将避免逐字翻译，而是追求自然流畅的中文表达，确保译文易于理解，同时忠实于原文的意思。
- 代码块不翻译：代码块中的内容不会被翻译，以保持其原始性和功能性。
- 图片链接和URL保持原样：图片链接和URL将保持不变，确保译文中的多媒体内容可以正常显示和访问。
通过遵循这些步骤，我将努力提供高质量的中文翻译，使读者能够轻松理解原文的内容和技术细节。
Alessandra Ram: Well, it's really interesting because when I spoke with the professor at Rutgers who really took me through these iterations of the tech boom, which a lot of this stuff happened in California, the Gold Rush, the dot-com, and now here we are with the AI boom. "This feels bigger," is what she said. When I spoke with multiple people, that's kind of where everyone landed is that this actually just feels even more seismic. And maybe it could also be the messaging that everybody is receiving probably from these AI companies that have these enormous evaluations that we all have to adopt this technology or we're all going to just completely combust. What was interesting here is that then, for example, you're in a family unit, there's one person, this happened in the Gold Rush too, they go off West, and that's usually the man, to find his fortune, leaving the family behind. And that's kind of what we're seeing here with this new iteration of a boom, is that someone else is leaving the household, maybe they're still working remotely at home so they're in the household, but technically, mentally, they're checked out, right? They're focused, they're tunnel visioned on this quest to make it here.
Leah Feiger: I have to ask, has anything changed in your own relationship since you embarked upon this reporting? And I guess more broadly, what would you like for AI-obsessed husbands or bros to take away from it?
Alessandra Ram: I think it's to be just present in the moment. I think we're looking really far into the future. People are obviously getting excited. People are afraid because, again, this messaging that we have to adopt or die, but I think, myself included, I think we just all need to be a little bit more present. Even though it feels right now like things are really hard, especially, it's hard to be present, you kind of want to escape, but relationships are the most important thing in our lives, community and relationships. So I think not to lose sight of that. I will say in my own household, my husband knew I was writing this article and I think he was just genuinely curious what I was going to say. I don't think he thought I was going to hold back at all, but now he's probably just excited that I am talking about AI more. So there's actually more things for us to talk about. He's like, "There's an upside here."
Brian Barrett: It's common ground, yeah.
Leah Feiger: Incredible.
Alessandra Ram: Yeah. But I have noticed, since this came out, which was I think not even a week ago, he has been helping around the house more without being asked.
Zoë Schiffer: Accountability journalism, baby. We love to see it.
Alessandra Ram: Yeah. So that's a lesson here. Just maybe write something for a national magazine and somebody's going to do that. It's going to help.
Leah Feiger: Change things in your own life.
Alessandra Ram: I saw him last night washing the dishes without being asked and I think he might've been listening to a podcast about AI or the Knicks.
Zoë Schiffer: Yeah, which we'll take it.
Alessandra Ram: But as long as it's getting done.
Leah Feiger: Alessandra, thank you so much for joining us.
Alessandra Ram: Thank you. This was fun.
Zoë Schiffer: That's our show for today. We'll link to all the stories we spoke about in the show notes. _Uncanny Valley_ is produced by Kaleidoscope Content. Adriana Tapia produced this episode. It was mixed by Amar Lal at Macro Sound. It was fact checked by Daniel Roman. Pran Bandi is our New York studio engineer. Marc Leyda is our San Francisco studio engineer. Kimberly Chua is our senior digital production manager. Kate Osborn is our executive producer. And Katie Drummond is WIRED's global editorial director.