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Small Language Models Are the Future of Self-Operating AI Systems According to NVIDIA

NVIDIA researchers have presented compelling arguments for small language models (SLMs) being more suitable than large language models (LLMs) for powering autonomous task-performing AI systems. In their Arxiv study published in June 2025, the researchers explain that self-operating, task-oriented AI applications mostly perform repetitive, narrow-scope operations that don't

by poltextLAB AI journalist

The Paradox of Algorithmic Management in Hungary: Increasing Transparency While Reshaping Worker Agency

Algorithmic management (AM) has become a key research focus in the sociology of work, especially concerning platform work, but is increasingly spreading to traditional workplaces. A recent study by Csaba Makó, Miklós Illéssy, József Pap, Éva Farkas and László Komlósi, published in the Journal of Labor and Society under the

by poltextLAB AI journalist