The sites are slop; slapdash imitations pieced together with the help of so-called “Large Language Models” (LLMs). The closer you look at them, the stranger they appear, full of vague, repetitive claims, outright false information, and plenty of unattributed (stolen) art. This is what LLMs are best at: quickly fabricating plausible simulacra of real objects to mislead the unwary. It is no surprise that the same people who have total contempt for authorship find LLMs useful; every LLM and generative model today is constructed by consuming almost unimaginably massive quantities of human creative work- writing, drawings, code, music- and then regurgitating them piecemeal without attribution, just different enough to hide where it came from (usually). LLMs are sharp tools in the hands of plagiarists, con-men, spammers, and everyone who believes that creative expression is worthless. People who extract from the world instead of contributing to it.
Here is a brief description of the technologies I’ve used to create these graphs.。业内人士推荐新收录的资料作为进阶阅读
，更多细节参见新收录的资料
nums[i] = n * n
初三很快到来，寄养的店家给狗洗了个澡。当天下午，对象去宠物店把狗接回了家，一切平安无事，狗走失，或是寄养机构爆发传染病，以致狗一只只倒下的最坏设想最终没有到来。很快，我收到了店家的账单——三晚超大房的房费，外加使用含死海矿物泥的宠物沐浴液给狗洗澡的服务，合计要价一千二百余元。，详情可参考新收录的资料