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Yet, linguistically, the relationship between aqilokoq and piegnartoq, or between reidhlean and cathairin, is of the same nature as that between hypervisor and operating system. In terms of lexical diversity, science and technology are a domain of breakneck growth. If the software industry doesn’t give you any frisson, consider linguistic contributions from mathematics such as tesseract or eigenvector. If math isn’t your jam, maybe try Umwelt or exaptation from biology, or liminality or habitus from sociology. Even many people with no background in the sciences have taken up words from cybernetics and statistics like feedback and correlation. The list goes on. And on, and on.，详情可参考立即前往 WhatsApp 網頁版
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“First to market is worth a lot,” Altman says finally. “We had that with ChatGPT.” But the time is right for OpenAI to lean into coding, he says. He thinks the company’s AI models are now good enough to power very capable coding agents. (Of course, the company spent billions training them to be that way.) “It's going to be a huge business—just the economic value of it, and then also the general-purpose work that coding can unlock,” Altman says. “I don't throw this around lightly, but I think it's one of these rare multitrillion-dollar markets.” What’s more, he says, Codex is “probably the most likely path” to building artificial general intelligence. By OpenAI’s definition, that’s an AI system that can outperform humans at most economically valuable work.