Six major paradigm shifts defined LLM progress in 2025: RLVR emerged as a new training stage that enables reasoning capabilities through verifiable rewards; LLMs developed jagged intelligence profiles distinct from human cognition; Cursor revealed a new layer of vertical-specific LLM applications; Claude Code demonstrated agents running locally on user computers; vibe coding enabled programming through natural language; and multimodal models like Gemini Nano hint at visual LLM interfaces beyond text chat.
Table of contents
1. Reinforcement Learning from Verifiable Rewards (RLVR)2. Ghosts vs. Animals / Jagged Intelligence3. Cursor / new layer of LLM apps4. Claude Code / AI that lives on your computer5. Vibe coding6. Nano banana / LLM GUISort: