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Emergence
The phenomenon where scaling up a model suddenly produces abilities it was never trained on — a source of both wonder and unease.
In plain words
As models get bigger, abilities that were completely absent in smaller models — translation, arithmetic, reasoning — suddenly appear at some threshold of scale. Skills no one taught the model "emerge" from sheer size.
It's the same logic as a single ant being simple, while an ant colony can build bridges. This is where all the wonder and unease around AI comes from — it means even the companies building these models don't know exactly what abilities will pop up in the next one.
See also
Stories using this term
- Inherent's 27B Model Faraday Outperforms Anthropic and OpenAIBusiness · 2026.08.23
- Alibaba's Wan Adds 'Agent Skills' for Sharing Video WorkflowsAI · 2026.08.14
- Qwen3.8-Max Ranks No. 1 in Agentic Index, No. 5 in Intelligence IndexAI · 2026.08.09
- Generalist AI Teaches Robots New Tasks From a 3-Second DemoAI · 2026.08.25
- Apple research team analyzes 21,000 instances of human-like behavior across 4 LLMsAI · 2026.08.20
- Meta Unveils First 10 Tasks in WildArtifactBench, a Benchmark for AI AgentsAI · 2026.08.21
