I don’t know why I expected a Zitron-esque lambsating from fortune.com, but reading the article is disappointing,
But for 95% of companies in the dataset, generative AI implementation is falling short. The core issue? Not the quality of the AI models, but the “learning gap” for both tools and organizations. While executives often blame regulation or model performance, MIT’s research points to flawed enterprise integration. Generic tools like ChatGPT excel for individuals because of their flexibility, but they stall in enterprise use since they don’t learn from or adapt to workflows, Challapally explained.
I mean, the cult of MBAs expecting miracles from the hot new thing is a pattern we’ve seen before. The functionality of LLMs does not match Sam Altman’s fantasies - but it does function. People are getting use out of this tech. But they’re vastly outnumbered by some mixture of optimistic experimenters and trend-chasing dipshits.
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I don’t know why I expected a Zitron-esque lambsating from fortune.com, but reading the article is disappointing,
Sure. Let’s blame anything but the AI 🙄
I mean, the cult of MBAs expecting miracles from the hot new thing is a pattern we’ve seen before. The functionality of LLMs does not match Sam Altman’s fantasies - but it does function. People are getting use out of this tech. But they’re vastly outnumbered by some mixture of optimistic experimenters and trend-chasing dipshits.