AI · Research · Systems

I work on how intelligence is built — and how we can compute it differently.

Foundation models, multimodal intelligence, agentic systems, physical AI, and new computing architectures. This is a public notebook for ideas I want to make concrete.
Nako Sung · 성낙호
EVP / Head of Hyperscale AI · NAVER Cloud
Nako Sung
Current lenses

What I keep coming back to

Foundation model learningData, curriculum, scaling, post-training
Multimodal & omnimodal AIPerception across modalities and time
Agentic & physical AISkills, autonomy, interaction, real-world action
Computing systemsInference, accelerators, and physical computation
About

Research should eventually become a system.

I lead Hyperscale AI at NAVER Cloud. My work sits between model research and the systems, products, and partnerships required to make large-scale AI useful in the real world.

My recent interests include efficient foundation-model learning, modality-agnostic multimodal AI, extracting reusable expert skills for agents, physical AI and autonomy, and computing architectures that exploit physics rather than merely simulate it.

RoleEVP / Head of Hyperscale AI
OrganizationNAVER Cloud
Based inSeoul, Korea
On this siteResearch notes · Experiments · Systems