mlsanityData to 7 Oct 2026

Reflections on "Can AI Understand Our Universe?"

arXiv 2501.17507 ↗First posted 29 Jan 2025cs.AI astro-ph.HE astro-ph.IMcited by 1

Not on the map. Why?

Abstract (arXiv)

This article briefly discusses the philosophical and technical aspects of AI. It focuses on two concepts of understanding: intuition and causality, and highlights three AI technologies: Transformers, chain-of-thought reasoning, and multimodal processing. We anticipate that in principle AI could form understanding, with these technologies representing promising advancements.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 2 of its 16 references that are in the map. First posted on arXiv 29 Jan 2025.

Builds on

2 of 16 references.

References · 2

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2020Thinking Fast and Slow in AIcited by 67

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025Large Language Models for Limited Noisy Data: A Gravitational Wave Identification Studycited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Beyond World Models: Rethinking Understanding in AI Models
  2. 2025Recognizing Artificial Minds: A Philosophical Defense of AI Cognition
  3. 2025Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning
  4. 2024Sora and V-JEPA Have Not Learned The Complete Real World Model -- A Philosophical Analysis of Video AIs Through the Theory of Productive Imagination
  5. 2025Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI
  6. 2022A World-Self Model Towards Understanding Intelligence
  7. 2026Epistemology of Generative AI: The Geometry of Knowing
  8. 2025AI Needs Physics More Than Physics Needs AI