add

Author: lzwjava

_drafts/2025-01-08-ai-cheat-en.md

@@ -0,0 +1,15 @@
+---
+layout: post  
+title: "Emphasize Judgment Over Worrying About AI Cheating"
+---
+
+- AI cheating is pervasive and, likely, impossible to fully eliminate.
+- Rather than focusing on AI cheating, we should prioritize raising our own judgment.
+- Concepts like multi-head latent attention, or systems like ChatGPT-01 and DeepSeek V3, are still challenging to achieve, even with AI cheating.
+- We should place a higher value on repeatability and reproducibility in work.
+- Whether the work is done by AI or humans, as long as it benefits others, it holds value. However, proper credit should always be given.
+- Original thinkers and teams deserve more respect than ever before.
+- Instead of worrying about AI cheating, we should become more ambitious about the future and focus on building it—without being overly concerned with credits.
+- Cheating ultimately boils down to honest and moral judgment.
+- In interviews and offline exams, it's still difficult to cheat.
+

_drafts/2025-01-08-ai-cheat-zh.md

@@ -0,0 +1,15 @@
+---
+layout: post  
+title: "重视判断力，而非担心AI作弊"
+---
+
+- AI作弊无处不在，几乎不可能完全消除。
+- 与其关注AI作弊，不如提高自己的判断力。
+- 像多头潜在注意力、ChatGPT-01或DeepSeek V3等技术，即使有AI作弊的帮助，也很难做到。
+- 我们应该更加重视工作的可重复性和可再现性。
+- 无论是AI还是人类的工作，只要能造福他人，就具有价值，但应当给予适当的信用。
+- 原创的思想和团队比以往任何时候都更值得尊敬。
+- 与其担心AI作弊，我们应当对未来保持更大的野心，专注于建设未来，而不是过度关注学分和荣誉。
+- 作弊归根结底是关于诚实与道德的判断。
+- 在面试和线下考试中，作弊仍然是非常困难的。
+