Transformers Are Injective: Why Your LLM Could Remember Everything (But Doesn’t)

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Transformers may be injective and invertible: hidden activations can reconstruct inputs—big gains for interpretability, major privacy risks.

Elon Musk’s Vision: Turning Tesla’s Idle Fleet into a Global AI Inference Powerhouse

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Tesla could use millions of idle cars as a distributed AI inference fleet—turning parked vehicles into gigawatt-scale compute and revenue.

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Apple’s MGIE uses LLM-guided text editing that learns from imperfect edits, making photo retouching conversational, faster and more creative.

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AI browsers act as assistants—summarizing pages and doing tasks for you, boosting productivity while posing privacy and accuracy risks.

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LLM ‘brain rot’: training on junk short, high-engagement posts erodes reasoning, safety, and behavior—data quality wins.