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COMPANY · ENTITY #23005
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Paris Smaragdis, a researcher with a background in computer music and machine learning, joined MIT in 2025 and leads work on machine listening — including sound-source separation, audio-aware devices, and tools for music analysis and synthesis. His group applies machine-learning approaches to enable machines to detect, separate, and interpret sounds in real-world environments.
Benjamin Lindquist (MIT) argues in a paper in Past and Present that early AI researchers intentionally injected randomness into algorithms and neural networks to mimic human creativity; he traces today’s generative-AI hallucinations to those mid-20th-century design choices and warns of inherent tradeoffs between creativity and predictability in systems that model human thought. In an interview with MIT News he contrasts early enthusiasm for occasional strangeness with modern efforts (e.g., by OpenAI and Anthropic) to suppress such behavior for safety and commercial reasons.
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