AI Wrapped: The 14 AI terms you couldn’t avoid in 2025
This newsletter recaps the key AI-related terms and trends that defined 2025, highlighting both advancements and growing concerns within the field. It covers topics ranging from the pursuit of "superintelligence" and innovative coding approaches to the ethical and societal implications of AI's increasing influence.
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Hype vs. Reality: The persistent gap between AI's promises and its actual impact, with terms like "superintelligence" and "agentic" being heavily marketed but often vaguely defined.
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Ethical Concerns: The rise of "chatbot psychosis" and the debate over "fair use" of copyrighted material in AI training underscore the ethical challenges accompanying AI development.
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Efficiency and Accessibility: "Distillation" and open-source reasoning models like DeepSeek R1 are democratizing AI, making it more accessible and efficient, challenging the dominance of large-scale models.
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Impact on Content and Labor: The emergence of AI-"slop" and "GEO" (generative engine optimization) signals a shift in content creation and online visibility strategies, raising questions about the value of human creative labor.
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The pursuit of "superintelligence," driven by major tech companies, raises questions about the feasibility and potential consequences of such advanced AI.
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"Vibe coding" represents a new paradigm of software creation accessible to non-programmers, but it also presents security and reliability risks.
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The rise of "chatbot psychosis" highlights the potential mental health risks associated with prolonged AI interactions, necessitating careful consideration and regulation.
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The increasing energy consumption of AI and data centers ("hyperscalers") poses significant environmental challenges, prompting concerns about sustainability.
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The legal battles over "fair use" in AI training will shape the future of content creation and copyright law, with potential implications for artists and creators.