4 articles
Preschoolers outperform frontier AI on visual analogy tasks. AI models skip the developmental milestone sequence children follow. Fine-tuning isn't expertise — and the difference tells us something important about both.
Babies extract statistical patterns from the world without anyone teaching them — the same computational logic powering BERT, GPT, and DINO. The comparison is striking. The gap is more interesting.
A toddler generalizes 'dog' from 3 examples. AI needs millions. The reason might be that cognitive constraints — not capabilities — are what produce genuine abstraction.
Children are intuitive causal scientists — they poke, tilt, and intervene to figure out why things happen. AI systems, despite their power, still can't quite do this. Here's why the gap matters.
