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2 synchronized stories carry this tag.

A randomized trial separates ChatGPT polish from causal reasoning

OpenAI and Bocconi researchers published a preregistered 2-by-2 classroom trial involving 1,053 first-year students. GPT-4o access raised scores on a conventional marketing rubric and increased coherent, idea-rich answers, while brief causal-reasoning training increased mechanisms, falsifiability, and the diversity of ideas; combining them retained benefits from both treatments.

Why it matters: The result gives educators and managers experimental evidence that polished, expert-like output and diverse causal thinking are different outcomes. A rubric can reward the former while overlooking the latter, making assessment design part of AI governance.

Read storyOriginal source · openai.com

IBM and Dallara use physics-based AI to accelerate aerodynamic design

IBM and Dallara reported that a Gauge-Invariant Spectral Transformer surrogate model identified the same optimal race-car diffuser design as computational fluid dynamics while producing an evaluation in about ten seconds instead of several hours. The partners plan to add more vehicle data and explore quantum or quantum-classical methods for higher-fidelity simulation.

Why it matters: Physics-based AI can cheaply screen many engineering configurations and reserve expensive simulation or experiments for the most promising candidates.

Read storyOriginal source · research.ibm.com