One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.
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“我深感讽刺的是，《古兰经》本身……明确指出，夺走一条无辜的生命就如同杀害全人类。这清楚地表明，昨天在邦迪滩发生的事件在伊斯兰教中是完全禁止的。”伊斯梅尔说道。。业内人士推荐WPS下载最新地址作为进阶阅读
Anthropic's quotes in an interview with Time sound reasonable enough in a vacuum. "We felt that it wouldn't actually help anyone for us to stop training AI models," Jared Kaplan, Anthropic's chief science officer, told Time. "We didn't really feel, with the rapid advance of AI, that it made sense for us to make unilateral commitments… if competitors are blazing ahead."