Nikolay Savinov

Researcher at OpenAI

🇷🇺 Russian

Savinov helped extend Gemini 1.5 to work across contexts of up to ten million tokens, letting one model reason over unusually large collections of text, code, audio, and video. His earlier work introduced influential approaches to exploration and memory in reinforcement learning, including episodic curiosity and topological memory.