The total encoding cost includes all the work that goes in to writing a prompt, and all of the compute required to run the prompt. If the task is simple to express in a prompt, the total encoding cost is low. If the task is both simple to express in a prompt, and tedious or difficult to produce directly, the relative encoding cost is low. As models get more capable, more complex prompts can be easily expressed: more semantically dense prompts can be used, referencing more information from the training data. An agent capable of refining or retrying a task after an initial prompt might succeed at a complex task after a single simple prompt. However, both of these also increase the compute cost of the prompt, sometimes substantially, driving up the total encoding cost. More “capable” models may have a higher probability of producing correct output, reducing costs reprompting with more information (“prompt engineering”), and possibly reducing verification costs.
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，这一点在黑料中也有详细论述
Пушилин прокомментировал взятие населенных пунктов Дробышево, Яровая и Сосновая силами группировки войск «Запад» ВС России и допустил возможность охвата Славянска. Также, по его мнению, благодаря взятию этих населенных пунктов российские войска могут дополнительно охватить Красный Лиман.
Petersen himself has become somewhat of an AI nut. “I just want to spend all day building tech and applying AI, and end up neglecting other things that matter, like my wife and kids. But now I’m getting pulled into other stuff,” he says. Like a broken supply chain. The looming threat of high inflation. And maybe an endless war. I’d rather vibe code, too.