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As is standard practice in the field, the project was referred to by a codename and the client only ever as “the client.” The entire system is designed so that workers have minimal insight into the supply chain they are part of. If they find out who the customer is, they are contractually forbidden from telling anyone, even their own colleagues. Nor are they allowed to describe the details of their work beyond broad generalities like “providing expertise in XYZ domain to improve models for a top AI lab,” according to one Mercor agreement. So afraid are workers of inadvertently violating their confidentiality agreements and getting fired that when they discuss their work in public forums, they mask their already codenamed projects with additional codenames, for example by referring to a project called “Raven” as “Poe.”
。关于这个话题,新收录的资料提供了深入分析
Imas argued that this research is very legitimate, despite the fact it’s on Substack instead of in a journal publication that was peer reviewed. Given the speed with which AI is moving, he said academics can’t wait for the traditional journal process anymore. “By the time you’re putting it [out], the models are old, the conclusions are old, like everything you’ve done is outdated. In order to be part of the conversation, the scientific conversation at the speed with what technology is moving, you need something like Substack where you turn something out within a couple of weeks to a month.”。关于这个话题,新收录的资料提供了深入分析
早在2024年,OpenAI的CEO奥特曼就曾公开预言:「一人独角兽即将到来」。