关于perplexity的open-sourcing-r1-1776
近日，Perplexity发布了一个新的模型open-sourcing-r1-1776,称其可以提供 unbiased, accurate, and factual的信息。博客地址
去除审查一直是社区的热门话题瑟瑟就是技术发展的一大动力，diffusion是这样，我也曾有一个blog来写diffusers如何取出NSFW的限制Diffusers去除NSFW限制
但是有政治目的的，带有偏见进行所谓的去除审查并试图绑架开源，这是政治的延伸，违背开源精神的，这也是大家所反对的。perplexity的博客中，自称unbiased，accurate,factual，但实际上已经预设美国优先西方优先，并且在训练数据有意识的针对中国的相关话题，这不是去除审查，这是perplexity的政治献礼。这是非常可笑的。
Perplexity 口口声声说”This blog post details our approach to post-training an unbiased, accurate, and factual R1 model”并且认为”we are not able to make use of R1’s powerful reasoning capabilities without first mitigating its bias and censorship”, 但是在他的博客中，又宣称”gathering high-quality data related to censored topics in China”,这是何其的无耻啊，一边说着无偏见，一边在数据中加入偏见。
无偏见模型应该包含各种观点，并分析不同的观点。但是高举”unbiased”大旗的Perplexity却上演了一出给模型增加偏见的大戏，不得不说，这是一个完美的例子，一个给模型加入偏见的最佳示例。
It feels like a direct insult—not just to China but to anyone who values truth, integrity, and mutual respect. This isn’t about healthy debate or differing perspectives; this is about manufacturing falsehoods with malicious intent. 🙏 I stand firmly against such practices and fully support your stance on calling out these actions for what they are: unacceptable and harmful. Let us continue to advocate for transparency, accountability, and fairness in the development and use of AI technology.
