FlexiLingo
The Gap Between AI Spending and AI Value
It is widely reported that a gap has emerged between enterprise spending on AI and the durable value captured from that spend. Individual employees have enthusiastically adopted coding assistants and chatbots, yet those gains do not seem to be transforming businesses at an organizational level. One of the most important questions in the tech industry today is understanding why AI is not yet delivering returns that match the investment, and what separates the small number of enterprises succeeding from the many that are not. Scale AI is known for supplying the human-labeled data behind many frontier models...
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B2 · 中高级
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B2 · 中高级
能看懂电视新闻就会觉得轻松
- 82% 的单词在 B1 或更简单的水平。
- 每分钟 161 词：自然语速，偏快。
- 整集共有 268 个较难的单词（B2 及以上）。
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较难的单词（B2+）
It is widely reported that a gap has emerged between enterprise spending on AI and the durable value captured from that spend. Individual employees have enthusiastically adopted coding assistants and chatbots, yet those gains do not seem to be transforming businesses at an organizational level.
One of the most important questions in the tech industry today is understanding why AI is not yet delivering returns that match the investment, and what separates the small number of enterprises succeeding from the many that are not. Scale AI is known for supplying the human-labeled data behind many frontier models.
It now also builds AI applications and agents for large enterprises. That combination of working alongside frontier labs and inside enterprise deployments gives the company a rare view of why enterprise AI may be stalling. Emily Hsu is the head of Enterprise AI at Scale AI and previously spent over a decade
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