~/talk

Substrate engineering

Talkat StaffPlus New York 2024 · 2024-09-04..09-05· [large-language-models]
slides:none on file

Claims that prompt engineering alone hits a ceiling — languages and frameworks set hard limits — and that rising LLM velocity worsens unnoticed bugs because better automation reduces human attention. Demonstrated failures include broken GitHub Actions YAML that only an editor error reveals, and proposals to replace ad hoc YAML/JSON schemas with typed, terminating configuration languages (example: Dhall compiles to JSON/YAML and enforces totality). Recommendation: invest in safer substrate, stronger type checks, and tooling that prevents common deployment hazards.

AI-written summary · about

  1. 0:00Software engineering needs substrate engineering
  2. 3:57Prompt engineering not enough for LLMs
  3. 9:12Harder LLMs harder to review
  4. 12:04What is substrate engineering
  5. 13:29Tooling and configuration as substrates
  6. 21:21Safer configuration languages
  7. 23:08Responsible deployment and LLM future
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