Ranking sci-fi's AI predictions: Ted Chiang's 'Lifecycle of Software Objects' comes first
_akpiper · x · 2026-11-07
A blog post by James Yu scores how well famous science fiction predicted AI development. Ted Chiang's 'The Lifecycle of Software Objects' ranks first for capturing the work of teaching, maintaining, and selling AI; Powers's 'Galatea 2.2' (8.4/10) best predicted how AI is built; 'Her' and 'The Perfect Match' tie on consumer-assistant visions; 'Avogadro Corp' nails agent-like software exploiting corporate systems. Notably, no pre-2017 work clearly describes the transformer attention mechanism or the chatbots-to-agents trajectory. Le Guin's line holds: sci-fi is descriptive, not predictive.
More from AGI Musings
- Hardware x AI x Bio intersection remains a startup white space — jungofthewon · 2026-11-07
- Morgan Stanley: high-AI industries drove 2.0pp of the 2.4% productivity gain — soumitrashukla9 · 2026-11-07
- Musk: agentic internet traffic already exceeds human traffic, Cloudflare's 1000x forecast is an underestimate — elonmusk · 2026-11-07
- Healthcare ransomware attacks up 6x since 2018 as AI agents close the patch gap, a16z says — luisdans · 2026-11-07
- US productivity grew 2.1% in the AI boom — only a quarter to half of dot-com peak — emilygsands · 2026-11-07
- Kelsey Piper: Pangram's loudest critics are writers secretly using AI themselves — TuhinChakr · 2026-11-07