Wolfram Language and Mathematica version 15

Original Article ↗ Hacker News Discussion ↗

Adoption and Use Cases

  • Widely used in universities; many remember it as excellent for symbolic math, fractals, simulations, and visualization.
  • Active in theoretical physics, device physics modeling, and parts of quantitative finance; some report intensive use for algebra, stochastic calculus, and ad‑hoc visualization.
  • Several industry users say new hires know it but rarely miss it once replaced by Python/R and other tools.
  • Some people mainly use it as an advanced interactive calculator rather than for large programs.

Licensing, Cost, and Walled Garden

  • Strong criticism of pricing: ~$400 personal perpetual, ~$4000 commercial seat, extra cost for System Modeler and commercial use; hobbyist licenses bar commercial output.
  • Many argue that high cost and proprietary nature limit both academic reproducibility and industrial adoption, especially for verification of published results.
  • Comparisons to other expensive scientific tools (e.g., COMSOL, SAS, STATA), with debate over how much closed-source status matters.
  • A few defend the closed model as supporting consistency, backward compatibility, and security relative to “wild” open ecosystems.

Open Source and Alternatives

  • Repeated desire for an open, Wolfram‑like language and library stack.
  • Several projects mentioned: SageMath, Mathics, Hissab, a Rust reimplementation (Woxi), browser notebooks and VS Code extensions, Julia-based modeling tools, and other CASes (Maxima, FriCAS, SymPy, Maple).
  • Consensus that no open tool yet matches Mathematica’s breadth of standard library, symbolic integration/ODE solving, and modeling capabilities.
  • Discussion that the small, niche term‑rewriting paradigm behind the language is easy to clone, but the huge curated library is not.

Language Characteristics

  • Many praise the language as highly expressive: rich pattern matching, functional style, and notebook interface; likened to a mix of APL/Lisp/Prolog or to a “beautiful but niche” language versus Python as messy but ubiquitous.
  • Others note it also has many special cases and irregularities, similar to other major languages.

AI Assistant and LLMs

  • Users find the built‑in AI assistant weak and hallucination‑prone, especially compared to general LLMs; some unsubscribed from the paid add‑on.
  • Mathematica now supports routing to external LLM providers; people see better results there.
  • Commenters note LLMs often struggle with Wolfram Language due to limited training data, hallucinating function names and options.

Founder’s Research and Reputation

  • Extended side debate on the founder’s physics work: described variously as visionary, eccentric, or ego‑driven, but generally not on the level of mainstream landmark theories.
  • Some object to past credit and lawsuit controversies; others argue that independently funded, unconventional research is valuable even if most of it doesn’t pan out.