VIDRAFT.
Insights

Engineering notes, backed by measurements

On-device AI, quantum computing, physical AI. Not marketing — written from data VIDRAFT measured first-hand and from public sources.

On-device AI

Can you run a large LLM without a GPU?

On-device AI runs a 35B-class open model on a CPU, phone, or laptop — no GPU. VIDRAFT POCKET decodes 2.69x faster than the most-downloaded on-device model at matched quality.

Quantum computing

Can a quantum computer break encryption?

No quantum computer can break real-world RSA or AES yet. VIDRAFT ran a cryptanalysis experiment on real IBM quantum hardware, recovering the period of an Even-Mansour structure up to N=10 — on actual qubits, not a simulator.

Physical AI

Can you teach a robot Korean without touching its firmware?

Boston Dynamics' Spot understands and acts on Korean voice commands at the Seoul Robot & AI Science Museum — with no hardware or firmware change, using an on-device AI module that processes speech locally.

LLM engineering

Can you make an AI model smarter without training? Model merging

Model merging combines the weights of different language models to gain new capabilities without GPU training. VIDRAFT's Darwin family reached GPQA Diamond 90.9% and #1 on Korea's K-AI leaderboard this way.

LLM engineering

What is model quantization — is a 4-bit LLM still smart?

Quantization lowers the numeric precision of a model's weights to cut size and compute. At around 4 bits the quality loss is small, which is the key to running large LLMs on a phone or laptop with no GPU — the core of on-device AI.