LLMs Don't Pay for the Jump
Zahavy [2026] argues that Large Language Models, despite their capabilities in induction and deduction, cannot perform the abductive "Jump" that produced Einstein's equivalence principle, and attributes this limitation to the absence of embodied simulation. Zheng-Xin [2026] and Farmer [2026] question whether embodiment is necessary for abduction, pointing to alternative routes to General Relativity and forms of abduction that require no sensorimotor grounding. Max Planck resolved the blackbody radiation problem in 1900. Planck's move to E = hν required no embodied simulation. It was motivated
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- FuzzyOverlapping authors or contributors · 62%open-webui/open-webui →
“Shared author/contributor keys: panda”
- FuzzyOverlapping authors or contributors · 62%f/prompts.chat →
“Shared author/contributor keys: panda”
- LinkedLinked via arxiv author · 85%Paras Balani →
“LLMs Don't Pay for the Jump”
- LinkedLinked via arxiv author · 85%Subhrakanta Panda →
“LLMs Don't Pay for the Jump”