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Sponsored and written by Specops Software.

Structural plasticity of the membrane-bound protein degradation assembly supports bacterial adaptation to stress

Iqbal et al. show that HflK/C conformational dynamics regulate bacterial adaptation to aminoglycoside stress. Using disulfide crosslinking to constrain the closed state, they demonstrate that stabilizing a closed HflK/C assembly impairs stress recovery and reveal a stress-induced conformation with dual openings that may facilitate FtsH-dependent membrane proteolysis.

A single real-world datapoint may stop AI model collapse, analysis suggests

New work explaining the inner workings of artificial intelligence could provide a way around the threat of AI “model collapse,” potentially averting growing numbers of AI hallucinations in the future.

First coined in 2024, “model collapse” refers to a scenario where an AI model trained on AI-produced data ceases to provide accurate results, instead producing inaccurate “gibberish” because of the poor quality of its training data.

Some have warned that high-quality text data to train systems like Large Language Models (LLMs) is set to run out as early as this year, and so data produced by models themselves has taken a larger training role—inviting the threat of model collapse.

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