Kyle Kingsbury: LLMs erode trust in software and its documentation
Simon Willison · rss · 2026-11-02
Simon Willison highlights Kyle Kingsbury's argument from the Jepsen report on ParticleDB 1.1.4.
Core claim: the rise of LLMs erodes trust in documentation, in software, and in the organizations that produce them. Signals engineers once used to identify a mature system are now easier to counterfeit, so engineers may start treating any new project with suspicion.
This raises open questions: how can maintainers ensure correct software and accurate documentation in the LLM era—and demonstrate that quality to users?
More from AGI Musings
- Spencer Greenberg asks AI to fact-check his own writing — and publishes every error it finds — SpencrGreenberg · 2026-11-02
- NYT op-ed argues AI consciousness is a near-term research and policy problem, not sci-fi — PeterBowdenLive · 2026-11-02
- Anthropic and OpenAI would weather a compute glut best, investor argues — bookwormengr · 2026-11-02
- Cashier Watched a Customer Use Google Gemini to Write a Baby Book Inscription — LuizaJarovsky · 2026-11-02
- DeepMind launches 'The Economics of Intelligence' research program on AGI's economic impact — soumitrashukla9 · 2026-11-02
- Jason Furman on AI replacing CEA staff and breaking the apprenticeship pipeline — soumitrashukla9 · 2026-11-02