SciGame tests agents on real and counterfactual scientific laws
On five frontier models, recovering the exact symbolic form stays the main bottleneck.
5 stories, newest first · one card per story
On five frontier models, recovering the exact symbolic form stays the main bottleneck.
Absolute success gains were 10.67%, 11.11%, and 11.85% on three real-world tasks versus the strongest baseline.
From Qwen3-VL-8B-Instruct, the paper reports PhysBench Throwing up 8.8 and ContPhy Goal-Pit up 24.4 points.
Time-series foundation models attenuate counterfactual dynamics; synthetic forced-system fine-tuning partly restores response magnitude.
SocioVerse2 adds longitudinal interventions and researcher-controlled loops to generative-agent social simulation.
Today 1.6K readers · 2.5K views · 778 reads · all time 189K views