市场误读了谷歌AI人才出走：资本与算力信号
🔮 The market misread Google’s AI exodus
Jeff Dean and Sanjay Ghemawat are leaving Google after more than a quarter-century, as you know. Outside the industry, the pair may not be well-known, but theirs was “the friendship that made Google huge.” Jeff and Sanjay are the reason why billions of us have been able to use Google over the past 20 years. Their work on distributed systems, in particular, is why the search engine could handle decades of growth. “Sanjay and I sped up Google Search by 10% today,” Dean once told his daughter.
如你所知，杰夫·迪恩和桑杰·格玛沃特在超过四分之一个世纪后离开谷歌。在行业之外，这对搭档可能并不出名，但他们的友谊“让谷歌变得庞大”。杰夫和桑杰是过去20年里数十亿人能够使用谷歌的原因。他们在分布式系统方面的工作，尤其是搜索引擎能够处理数十年的增长的原因。“桑杰和我今天将谷歌搜索速度提高了10%”，迪恩曾这样告诉他的女儿。
Illustration by David Plunkert in The New Yorker, published on December 3, 2018
插图由大卫·普朗克特为《纽约客》绘制，发表于2018年12月3日
They weren’t alone. DeepMind’s founder and Nobel Laureate Demis Hassabis also wanted to leave the company, according to well-grounded reports. He was persuaded to stay in a chair role for the sake of the share price. Koray Kavukcuoglu, an executive more closely associated with product delivery and commercial integration, will run the organization.
他们并非孤例。根据可靠报道，DeepMind的创始人兼诺贝尔奖得主戴密斯·哈萨比斯也曾想离开公司。为了股价，他被说服留任一个主席职位。更与产品交付和商业整合相关的执行高管科拉伊·卡武库乔格鲁将负责该组织。
Losing your very best talent in a short span, both homegrown in the case of Dean and Ghemawat, and acquired in the case of Hassabis, looks like bad news. Superstars like to be on the winning team, after all.
在短时间内失去你最顶尖的人才，无论是像迪恩和格玛沃特这样的内部培养人才，还是像哈萨比斯这样的收购人才，看起来都是坏消息。毕竟，超级明星喜欢待在获胜的团队中。
This is what the market believed, and Alphabet’s share price dropped 4% in a day.
这正是市场所相信的，Alphabet的股价一天内下跌了4%。
But in our view, this is as much a signal about capital and compute allocation as it is about talent.
但在我们看来，这既是关于人才，也是关于资本和计算分配的信号。
That matters because Alphabet is not an ordinary incumbent. Google built the most formidable system in corporate history for stewarding uncertain ideas from the demands of its cash-generating core. Think of 20% time; it’s moonshot factory, X; the Alphabet corporate structure; and an extraordinary appetite to acquire.
这很重要，因为Alphabet不是普通的现有企业。谷歌建立了企业史上最强大的系统，以管理从其产生现金的核心业务中产生的不确定想法。想想20%时间、它的登月工厂X、Alphabet的公司结构，以及非凡的收购胃口。
If even Google now allows the engineers who built its very foundations to leave, something about the way it allocates capital has changed. The question is what. Are researchers leaving Alphabet because they lost faith in the firm’s AI prospects? Or because every TPU can earn such an attractive return serving today’s bread-and-butter models that open-ended research fails to clear the hurdle?
如果连谷歌现在都允许建造其根基的工程师离开，那么它分配资本的方式已经发生了变化。问题是什么。研究人员离开Alphabet是因为他们对公司的人工智能前景失去信心了吗？还是因为每个TPU都能通过服务当前的日常模型获得如此有吸引力的回报，以至于开放式研究无法达到门槛？
These imply opposite positions in the AI capital cycle.
这些暗示了在人工智能资本周期中的相反立场。
Below, we identify how Google’s compute has moved, examine what demand for old chips reveals about the economic lives of AI chips, and identify the four signals that would tell us the infrastructure cycle has finally turned.
下面，我们将识别谷歌计算资源的动向，检查对旧芯片的需求揭示了人工智能芯片的经济寿命，并指出四个信号，告诉我们基础设施周期终于转向。
Continue reading: seven charts and our AI-cycle call
继续阅读：七个图表和我们对人工智能周期的判断
Markets viewed these departures as a crisis. We think they tell us more about the capital-compute axis.
市场将这些离职视为危机。我们认为它们更多地揭示了资本-计算轴。
The full essay includes seven charts showing:
全文包含七张图表，展示：
- How Google’s latest models fare on the Pareto frontier
- How it has shifted compute away from research
- What Google Cloud’s growth and economics reveal about infrastructure demand.
- Where we are in the AI infrastructure cycle… and the four signals that would tell us it has finally turned.
- 谷歌最新模型在帕累托前沿上的表现
- 它如何将计算资源从研究领域转移出去
- 谷歌云的增长和经济效益揭示了基础设施需求。
- 我们处于AI基础设施周期的哪个阶段……以及四个信号将告诉我们它终于转向了。
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