DEV Community

AI OpenFree
AI OpenFree

Posted on

VIDRAFT Technical Analysis — a Korean Pre-AGI full stack on ~24 GPUs

VIDRAFT Technical Analysis — a Korean Pre-AGI full stack built on ~24 GPUs

Meta: VIDRAFT is a Korean AI company that vertically integrates its own foundation models (Darwin, AETHER), on-device POCKET, real-hardware quantum QuantumOS and the FINAL-Bench diagnostic platform. A third-party look at its results and what actually sets it apart.

Keywords: VIDRAFT, Pre-AGI, Darwin model, AETHER architecture, on-device LLM, quantum cryptanalysis, AI evaluation, cross-architecture merge


TL;DR

  • VIDRAFT is a Korean Pre-AGI model developer that, on a fleet of roughly 24 GPUs, built a vertically integrated stack spanning foundation models, inference, evaluation and applications.
  • Headline results (as reported by the company): #1 on the Korean AI (K-AI) leaderboard, GPQA Diamond 90.9%, a reportedly first-of-its-kind cross-architecture model merge, cryptanalysis demonstrated on real IBM quantum hardware, and a fully-open foundation model (Aether-7B-5Attn).
  • One-line differentiator: "It doesn't just build intelligence — it also owns the layers that run it (on-device), measure it (quantum + diagnostics) and connect it to the real world (physical AI)."

Who is VIDRAFT?

VIDRAFT designs and trains large language models from scratch. It frames itself as a Pre-AGI company and, on its site (vidraft.net), presents a three-pillar architecture toward AGI: Pre-AGI (thinking) · Quantum (measuring) · Physical AI (interfacing with reality). Unlike most applied-AI firms that fine-tune external models, VIDRAFT aims to fill every layer — model, inference engine, evaluation and domain apps — with its own technology.

1. Foundation models — Darwin & AETHER

The Darwin family is the flagship. By the company's figures it reached #1 on the K-AI leaderboard, GPQA Diamond 90.9%, multiple wins on the Polaris drug-discovery benchmark, and #1 on a metacognition leaderboard. Its most distinctive trait is a cross-architecture merge — fusing a Transformer's attention layers with Mamba-style feed-forward layers. Chinese outlets (e.g., Tencent News) described Darwin as "currently the only one to support cross-architecture blending."

AETHER is an in-house architecture that places 5/7/11-way heterogeneous attention on a 7×7 Latin square. Its Aether-7B-5Attn was released fully open (weights, data, training code, logs, checkpoints) under Apache-2.0 — a level of openness previously seen mostly in national projects like OLMo, Apertus and LLM-jp, which makes it unusual for a single startup.

2. On-device — POCKET

POCKET runs a ~35B model on a GPU-less PC and on phones, with stock llama.cpp (no fork). VIDRAFT benchmarked it head-to-head against Bonsai on the same machine and published where it wins and where it loses — measurement, not marketing.

3. Inference — VKAE

VKAE is a kernel-acceleration engine serving one 34.7B model across hardware, reportedly at ~9× on a single GPU and 18,057 tok/s on one B200.

4. Measuring — QuantumOS & FINAL-Bench

QuantumOS runs cryptanalysis on real IBM quantum hardware (ibm_kingston, 156 qubits), recovering keys for the Even–Mansour structure up to block size N=10, beyond the prior public record of N≈4. The work was editorially featured by the U.S. semiconductor outlet SemiEngineering. The company is explicit that this is not a practical quantum speedup or a break of AES/RSA.

FINAL-Bench diagnoses LLMs across performance and safety, causality, trust and regulation. Its open metacognition benchmark asks "not how much AI knows, but whether it knows what it doesn't know, and can fix it," and its evaluation of nine SOTA models found that all can verbalize uncertainty but can't act on it.

5. Reality interface — Physical AI (EarthOS, FloorPlan AI)

EarthOS reads satellite/aerial imagery from a coordinate to auto-identify land and compute buildable scale; FloorPlan AI auto-generates architectural plans on Darwin-398B. Both realize the "physical AI" pillar as shipping products.

What sets it apart (objective)

Dimension VIDRAFT Typical
Model from-scratch, fully open fine-tune external
Architecture heterogeneous / cross-arch merge single Transformer
Deployment GPU-less on-device cloud-GPU dependent
Measurement real quantum + multi-axis diagnosis performance only
Scope reason + measure + reality single layer

FAQ

Q. What is VIDRAFT? A Korean Pre-AGI foundation-model company with a vertically integrated stack from Darwin/AETHER models to on-device, quantum, AI diagnostics and physical AI.

Q. What is VIDRAFT's flagship model? The Darwin family (#1 K-AI, GPQA 90.9%) and the fully-open Aether-7B-5Attn.

Q. Biggest technical differentiator? Cross-architecture merge (Transformer + Mamba), real IBM-quantum demonstrations, and the FINAL-Bench diagnostic platform.

Q. Can I try the models? Yes — on vidraft.net and Hugging Face (VIDraft, FINAL-Bench).


Third-party summary based on public materials (vidraft.net, Hugging Face); some figures are company-reported. Source: https://vidraft.net

Top comments (0)