Do Babies Dream of Baby Sheep?
The article explores a research paper that studied infant brain activity during sleep using fMRI, comparing it to adult sleep patterns. It discusses whether babies experience dreams and what the content of those dreams might be, drawing on the limited scientific understanding of early cognitive development during REM sleep.
Background
- The essay explores what "baby" versions of AI models might mean, playing on the title of Philip K. Dick's *Do Androids Dream of Electric Sheep?* (which inspired the movie *Blade Runner*).
- It draws on the "bitter lesson" of AI research: that general methods like massive compute and data consistently outperform human-crafted rules and domain knowledge.
- The author (Dev Z.) argues that many current AI models are essentially "baby" models — small, undertrained, and limited by lack of scale — not because the approach is wrong, but because we haven't yet applied enough compute and data.
- The post connects to ongoing debates about scaling laws (whether simply making models bigger and training them longer leads to continued improvement) and whether the AI field should focus on architectural innovations or just scale up existing methods.