As the overhang between AI’s expanding capabilities & the degree to which AI capabilities are used grows, the penalty of locking into a “good enough” solution based on today’s AI limits grows too. Firms need to make sure they can benefit from vast Lab investment into better AIs.
Ethan Mollick warns firms against locking into today's "good enough" AI
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Ethan Mollick says the gap between AI capabilities and how much of them firms use keeps widening. He argues that committing to a "good enough" solution based on current AI limits becomes more costly over time. He adds that firms need to position themselves to benefit from large lab investment in better models.
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Source: Ethan Mollick · x.comPublished · added here