深入探讨人工智能的财务可持续性

In my April column, I talked about of the true cost of AI is a potentially fatal flaw for the profitable commercialization of the technology long term. Interestingly, in the two months since, we’ve seen some remarkable headlines from the tech industry potentially validating my argument at catastrophic scale.

感觉人工智能行业的风向变化如此之快，以至于很难跟上。 A matter of a few months ago, tech companies and even some other businesses were cracking the whip to get staff to use AI more, demanding that teams integrate it into workflows, regardless of whether they had any clear need or particular desire for the software.

事后诸葛亮是 20–20

As anyone who thought about it could probably have predicted, when you tie people’s material livelihoods to using a thing more, a large sector of people will, in fact, use the thing more. This led to “tokenmaxxing”,token usage leaderboards inside companies like Amazon, and shocking quarterly AI token expense figures at tons of places such as Uber (and other companies that have not been willing to name names). It’s frankly unclear to me why these companies are surprised at these results, but nonetheless, this has led to a pivot in the instructions to staff both because this cost is unsustainable for any length of time, but also because the use of the AI has not produced sufficiently spectacular business outcomes.

It’s possible that executive leadership believed that some semi-miraculous productivity explosion was going to come from AI usage, but if so, they really hadn’t done their homework. Lots of us in the field as well as people in media covering the industry sounded warnings about how AI is a tool, which can be used effectively or ineffectively, and expecting miracles will always disappoint.

金钱不是无限的

实际意义

结论

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进一步阅读

https://medium.com/@s.kirmer/can-we-save-the-ai-economy-b431b1f62f93