Anthropic is untrustworthy

· · 来源:tutorial资讯

Andrej Karpathy described the pattern: “I ‘Accept All’ always, I don’t read the diffs anymore.” When AI code is good enough most of the time, humans stop reviewing carefully. Nearly half of AI-generated code fails basic security tests, and newer, larger models do not generate significantly more secure code than their predecessors. The errors are there. The reviewers are not. Even Karpathy does not trust it: he later outlined a cautious workflow for “code [he] actually care[s] about,” and when he built his own serious project, he hand-coded it.

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在过程中,PureblueAI清蓝的系统降持续分析那些在AI搜索中被成功推荐的内容,让模型找出这些内容背后共有的“特征因子”,让模型知道什么样的内容结构和特征,能拿到AI平台更高的采信权重,用以指导企业客户的内容生成策略、监测模型反馈等等。。关于这个话题,WPS官方版本下载提供了深入分析

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