Bad Ai Generated Quotes

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Here are a few examples of different levels of risks, ordered from high to low: If you don’t do this, competitors with AI can make you obsolete. If AI poses a major existential threat to your business, incorporating AI must have the highest priority. In the 2023 Gartner study, 7% cited business continuity as their reason for embracing AI. This is more common for businesses involving document processing and information aggregation, such as financial analysis, insurance, and data processing. This is also common for creative work such as advertising, web design, and image production. You can refer to the 2023 OpenAI study, “GPTs are GPTs” (Eloundou et al., 2023), to see how industries rank in their exposure to AI. If you don’t do this, you’ll miss opportunities to boost profits and productivity. Most companies embrace AI for the opportunities it brings. AI can help in most, if not all, business operations. AI can make user acquisition cheaper by crafting more effective copywrites, product descriptions, and promotional visual content. AI can increase user retention by improving customer support and customizing user experience. AI can also help with sales lead generation, internal communication, market research, and competitor tracking. You’re unsure where AI will fit into your business yet, but you don’t want to be left behind. While a company shouldn’t chase every hype train, many have failed by waiting too long to take the leap (cue Kodak, Blockbuster, and BlackBerry). Investing resources into understanding how a new, transformational technology can impact your business isn’t a bad idea if you can afford it. At bigger companies, this can be part of the R&D department.
Chip Huyen (AI Engineering: Building Applications with Foundation Models)
In study after study, the people who get the biggest boost from AI are those with the lowest initial ability—it turns poor performers into good performers. In writing tasks, bad writers become solid. In creativity tests, it boosts the least creative the most. And among law students, the worst legal writers turn into good ones. And in a study of early generative AI at a call center, the lowest-performing workers became 35 percent more productive, while experienced workers gained very little.
Ethan Mollick (Co-Intelligence: Living and Working with AI)