#digitaltwins — Public Fediverse posts

If it sounds crazy, maybe it really is. Here the craziness is expecting LLMs to behave like survey respondents.

"Scientists and practitioners are aggressively moving to deploy digital twins—large language model (LLM)-based models of individuals—across social science and policy research. We conducted 19 preregistered studies with 164 diverse outcomes (e.g., attitudes toward hiring algorithms and intention to share misinformation) and compared human responses with those of their digital twins (trained on each person’s previous answers to more than 500 questions). We establish an empirical benchmark for digital twin performance: Digital twins’ answers are only modestly more accurate than those from the (homogeneous) base LLM and correlate weakly with human responses (average correlation coefficient of 0.20). To guide future development, we document five ways in which digital twins distort human behavior: (i) insufficient individuation, (ii) stereotyping, (iii) representation bias, (iv) ideological biases, and (v) hyper-rationality. We make our full dataset and code public as a standardized testbed. Our results caution against premature deployment while laying the groundwork for the transparent, replicable, and iterative science necessary for responsible deployment of digital twins."

#SocialScience
#PolicyResearch
#DigitalTwins

https://www.science.org/doi/full/10.1126/sciadv.aeh8260?af=R

🧪 Could digital modeling redefine how we grow CHO cells for biologics?

🔗 Wheels turning: CHO cell modeling moves into a digital biomanufacturing era. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.06.035

📚 CSBJ: https://www.csbj.org/

#Biomanufacturing #CHOCells #DigitalTwins #BiotechInnovation #DigitalBiomanufacturing #Bioprocessing #Biologics #CellCulture #GenomeScaleModels #SmartManufacturing #BiopharmaInnovation #SystemsBiology #Biotechnology #Bioinformatics