It is an uncomfortable truth for tech giants: the AI revolution is to a large extent built on labor in low-income countries. What we call “machine learning” is often the result of human hands.
Writing specifications is not always easy, but it is easier than writing the optimized implementation. And a powerful shortcut exists: an inefficient program that is obviously correct can serve as its own specification. User and AI co-write a simple model, AI writes an efficient version, and proves the two equivalent. The hard part shifts from implementation to design. That is the right kind of hard.
，这一点在Line官方版本下载中也有详细论述
No one knows how much publishers make in return for providing these modest services, but we can guess. In 2017, the Association of Research Libraries surveyed its 123 member institutions and found they were paying a collective $1 billion in journal subscriptions every year. The ARL covers some of the biggest universities, but not nearly all of them, so let’s guess that number accounts for half of all university subscription spending. In 2023, the federal government estimated it paid nearly $380 million in article processing charges alone, and those are separate from subscriptions. So it wouldn’t be crazy if American universities were paying something like $2.5 billion to publishers every year, with the majority of that ultimately coming from taxpayers.，这一点在体育直播中也有详细论述
Армия обороны Израиля начала масштабную серию ударов по Ирану02:17
20-30% reduction for routed commits