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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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The survey ran for 30 days (from November 17th to December, 17th 2025) and collected 7156 responses, a slight decrease in responses compared to last year. In this blog post we will shine a light on some specific key findings. As usual, the full report is available for download.，推荐阅读电影获取更多信息
Larry Ellison’s big dumb gift to his large adult son。业内人士推荐PDF资料作为进阶阅读