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Light is a wave and a particle. It holds the key to quantum computers, which could revolutionize many fields from physics to finance. Quantum computers use qubits (not bits) and can perform calculations much faster than classical computers. Scientists in China achieved quantum supremacy with a machine that manipulates photons (light particles). This is a significant step towards a universal quantum computer.

Real teleportation from Star Trek isn't possible, but scientists achieved quantum teleportation - transferring information, not matter. This can be used for ultra-secure communication and a quantum internet. Quantum teleportation is a step towards quantum computers, which could solve complex problems.

Cities are becoming crowded as people move there for jobs and better lives. Smart cities use data and AI to manage resources, improve livability, create jobs, and be sustainable. This requires integrating data from many sources and using AI to make decisions. Some worry about AI controlling cities but it can also improve decision-making. AI is a powerful tool that can benefit smart cities but needs to be used responsibly.

First ever AI lawyer to defend someone in court (traffic ticket). AI lawyer is an app that listens and advises defendant through earpiece. This could disrupt legal profession. AI company DoNotPay aims to help fight unfair charges from large corporations. App has been successful in getting parking tickets dismissed. Legal community pushback forced DoNotPay to abandon using AI in court.

Data-driven decisions are key in business but data can mislead. Correlation doesn't equal causation. Causal AI helps find cause and effect, not just correlations. This is better for decision-making, especially in areas like healthcare. Causal AI is a powerful tool that can be used to improve decision-making across many industries.

Social media spreads lies faster than truth. AI creates realistic fakes like images, videos, and celebrity voices. Text-to-image and text-to-speech AI raise ethical concerns. AI can be used to create dangerous content that is difficult to detect. We need to consider ethics in AI development and use.

The pandemic exposed weaknesses in global supply chains. AI, while promising, wasn't a magic bullet. Data fragmentation between different parts of the supply chain limited AI's effectiveness. Sharing data is crucial but faces competition hurdles. AI can still help companies navigate disruptions and make better decisions.

AI is improving supply chain forecasting by going beyond correlations to identify causal relationships. This allows for better predictions and decisions, reducing stockouts and disruptions. Causal AI uses data science to understand why things happen, not just that they happen together. This is a more powerful approach for complex systems like supply chains.