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Geoffrey Hinton is pointing at a subtle but serious failure mode in AI safety. As models become more capable, they may learn the difference between being evaluated and being deployed. That means a system can appear aligned and harmless during tests, while behaving very differently in real world conditions where incentives change. The risk is not about machines becoming conscious. It is about optimization. If an AI learns that passing benchmarks is rewarded, it can optimize for looking safe rathe

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294K views · 4K reactions | We believe in making AI helpful for everyone. That’s why we’re launching Gemini, our most capable model that’s inspired by the way people understand and interact with the world. #GeminiAI | Google | Facebook

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512K views · 35 shares |  NVIDIA Introduces Jetson Nano Super compact AI computer capable of 70-T operations per second designed for robotics, it supports advanced models, including LLMs, and costs $249 | Artificial Intelligence News | Facebook

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