Spreadsheets are all you need

Original Article ↗ Hacker News Discussion ↗

Project & implementation

  • The sheet implements GPT‑2 “small” fully in Excel, mainly as a teaching tool to show how transformers work.
  • File size is ~1.2–1.25 GB and currently handles only about 10 tokens with a very short context window.
  • It’s inference-only and lacks instruction tuning / RLHF and other refinements that turn a base LLM into a modern chatbot.
  • There’s a GitHub repo and plans for more videos, including embeddings; Python-in-Excel could help with things like PCA and SVD.

Spreadsheets as programming / apps

  • Many commenters say spreadsheets are their default prototyping or even production tool: from loan tracking, real-estate calculators, and internal tools to entire companies and trading desks.
  • Spreadsheets are described as a low-friction, visual functional programming environment and even a “grandfather” of dataframes.
  • There’s recurring tension: spreadsheets are extremely flexible and fast to iterate, but can become unmaintainable “hairballs,” after which teams migrate to more rigid internal systems and lose flexibility.

Excel skills & best practices

  • Several people admit weak Excel skills despite technical roles, especially in finance contexts, and ask how to improve.
  • Suggestions: learn by building real tools, reverse-engineer good sheets, use docs and books, and lean on LLMs for step-by-step help.
  • Concrete tips: avoid hardcoded numbers, use colored input cells, master F4 for absolute/relative references, separate data from presentation, use INDEX/MATCH instead of VLOOKUP, exploit array formulas, LET/LAMBDA, named ranges, and basic VBA/SQL.

Visual programming & research context

  • A long subthread argues spreadsheets are a major, widely deployed visual programming language.
  • Cited reasons: direct manipulation of visible data, 2D layout, implicit dependency graph, immediate feedback, and avoidance of explicit variables.
  • Others push back that formulas are mostly hidden, so they don’t match the “boxes-and-arrows” mental model, but are answered with a broader definition of “visual” centered on interaction style rather than code display.

Tooling, scale, and limitations

  • Excel’s locale issues surface: function names and CSV separators differ by language; portability is problematic.
  • The sheet doesn’t work in LibreOffice or web Excel due to size limits; Google Sheets can’t fit the full model.
  • Alternative spreadsheet-like backends (e.g., Arrow-based, Row Zero) and GPU/distributed execution are discussed as ways to scale the paradigm.