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AI Thoughts in 2025
- Artificial Intelligence (AI) encompasses machines performing human intelligence tasks, with Machine Learning (ML) emerging as a dominant technique in recent years.
- Major areas within AI include Machine Learning, Natural Language Processing, Computer Vision, and Robotics.
- ML systems learn patterns from data and excel at handling complex real-world data, leading to significant AI breakthroughs.
- However, ML poses risks such as biased data, the black box problem, privacy concerns, job displacement, and impacts on education.
- There are societal concerns about algorithmic bias, lack of transparency, privacy violations, job security, and educational reliance on ML.
- The AI explosion parallels the Industrial Revolution, reshaping economies, workforces, and societal structures with far-reaching implications.
- Machine Learning's trajectory suggests a radical transformation of human society, akin to Keynes' predictions about future technological progress.
- Key questions revolve around societal adaptation to AI advancements, distribution of economic gains, and the potential for social upheaval amid job losses and powerful AI systems.
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