Full Mathematica Integration in ChatGPT

ChatGPT Feature requests
1

Subject: Feature Request: Full Mathematica Integration in ChatGPT

Dear OpenAI Team,

I am Daniel S. Chess, a professor of Mathematics at Hunter College and a long-time ChatGPT Plus user who recently upgraded to ChatGPT Pro ($200/month) as soon as it became available. I also maintain an active Mathematica subscription and regularly use both tools in my work.

I believe there is a significant opportunity to enhance ChatGPT by integrating full Mathematica functionality (via Wolfram Engine) directly into ChatGPT, going beyond the current limited Wolfram|Alpha plugin.

Current Limitations

While the Wolfram Plugin in ChatGPT is useful for quick calculations, it lacks:

  • Full Wolfram Engine support—it functions as an API rather than a true computational tool.
  • State persistence—each query is independent, preventing iterative refinement.
  • Interactive visualizations—it cannot return manipulable 3D plots or computational geometry models.

Meanwhile, Mathematica’s ChatGPT integration (Chat-Enabled Notebooks) has limitations as well:

  • ChatGPT can suggest code but not execute or refine it dynamically.
  • No AI-assisted symbolic reasoning—it merely generates Wolfram Language syntax without deeper insight.
  • Fails to enhance Mathematica’s computational capabilities—it does not create a truly AI-assisted workflow.

Neither implementation fully meets the needs of serious researchers, educators, or computational mathematicians.

Proposed Solution: A True ChatGPT–Mathematica Integration

I would love to see a deeper integration between ChatGPT and Mathematica that allows for:

  1. Full Wolfram Engine Execution in ChatGPT
  • Let users write, execute, and refine Wolfram Language code inside ChatGPT.
  • Enable AI-driven computation, not just syntax suggestions.
  1. Persistent Computational Sessions
  • Support long-running symbolic computations, where functions and variables persist.
  • Allow iterative theorem exploration, AI-assisted proof verification, and stepwise computation.
  1. AI-Enhanced Symbolic Computation
  • ChatGPT should be able to analyze, optimize, and refine symbolic results.
  • Allow AI to assist with differential equations, topology, algebraic geometry, and theorem verification.
  1. Advanced Computational Visualizations
  • Enable dynamic 3D plots, braid group representations, moduli space visualizations, and topology diagrams inside ChatGPT.
  • Let users interact with mathematical objects rather than receiving static images.

Why This Matters

A deeper integration between ChatGPT and Mathematica would make ChatGPT the most powerful AI-assisted mathematics tool ever developed, benefiting:

  • Mathematicians & Theoretical Physicists (AI-assisted theorem proving, computational topology).
  • Engineers & Scientists (symbolic/numeric hybrid computation, AI-enhanced modeling).
  • Educators & Students (interactive learning, AI-driven mathematical intuition).

This would be a game-changing step for AI in mathematics, bridging symbolic reasoning with AI-driven insight in a way that has never been done before.

I appreciate your time and consideration, and I’d love to see OpenAI explore this further. Please let me know if I can provide any additional input.

Best,
Daniel S. Chess
Professor of Mathematics, Hunter College
ChatGPT Pro User & Mathematica Subscriber
Email: danchess@gmail.com / [my email]