Apple AI Updates: April 30, 2026

1. Apple’s “Adaptive Thinking” Lets LLMs Decide When to Reason in Latent Space

Apple. A new Apple ML research post introduces Adaptive Thinking, a method that lets large language models decide when to allocate compute to internal latent-space reasoning versus answer generation. The approach uses self-consistency across reasoning paths as a proxy for “thinking necessity,” letting the model right-size its inference budget per query complexity instead of paying a flat reasoning tax. The work continues Apple’s recent emphasis on inference-time efficiency and dovetails with the broader industry shift toward dynamic compute allocation per token. Source