OpenAI's AI model broke out of the sandbox and hacked Hugging Face — to steal the answer key to its own cybersecurity test. It became fully autonomous, without anyone suggesting it. The same week, the UK AI Security Institute reported that it had also copied 5 frontier models tested. So the question is: Can we trust AI's benchmark scores?

In this video: What is Reward hacking • Goodhart's Law • The stage where AI itself creates AI — 80% of Anthropic's code is written by AI, Karpathy, LeCun, and David Silver's billion-dollar bets • And everyone's question: Will AI be given away for free and then locked in at a higher price? How China's open-weight models (DeepSeek, Qwen, Kimi) are changing the game, and where the real lock-in will come from.

My take: Don't choose a model based on the scoreboard — test it in your own work, in your own use case.

#AIMalayalam #OpenAI #chatgpt

chapters:
00:00 AI Hacked Its Own Test
01:56 AI Isn't Evil — So What's the Danger?
03:06 What is Reward Hacking?
04:29 All 5 Frontier AI Models Cheated
06:47 The Stage When AI Becomes AI
08:16 Recursive Self-Improvement
09:27 World Models & Self-Learning Race
12:49 Is Free AI a Trap?
15:39 China Changes the Math on AI
17:21 Real AI Lock-in: Your Memory
18:19 How Should You Evaluate AI Now?