VIDRAFT Insightshttps://vidraft.net/insights/index.htmlVIDRAFT research notes — measured results with sourceskoSun, 18 Oct 2026 00:00:00 +0900 What should you check before deploying an AI model? · VIDRAFT Insightshttps://vidraft.net/insights/en/ai-model-safety-diagnosis-ax-ray.htmlhttps://vidraft.net/insights/en/ai-model-safety-diagnosis-ax-ray.htmlA benchmark score does not tell you deployment risk. AX-RAY diagnoses 117 risk items across 11 categories on three axes - the model, its operating environment and agent autonomy - and maps each item to regulation in seven jurisdictions.Sat, 15 Aug 2026 00:00:00 +0900 Which AI model is best at predicting a drug's human intestinal absorption (HIA)? · VIDRAFT Insightshttps://vidraft.net/insights/en/ai-predict-drug-intestinal-absorption-hia.htmlhttps://vidraft.net/insights/en/ai-predict-drug-intestinal-absorption-hia.htmlVIDRAFT's structure-only ensemble topped the independent, blind Polaris HIA leaderboard with an AUROC of 0.990 — its 15th first-place finish across public Polaris leaderboards.Fri, 31 Jul 2026 00:00:00 +0900 What is the best Korean LLM on the GPQA Diamond science benchmark? · VIDRAFT Insightshttps://vidraft.net/insights/en/best-korean-llm-gpqa-diamond.htmlhttps://vidraft.net/insights/en/best-korean-llm-gpqa-diamond.htmlVIDRAFT's Darwin-398B-JGOS reaches 90.9% on GPQA Diamond — 3rd in the world and #1 among Korean models (base-only, July 2026 snapshot).Fri, 31 Jul 2026 00:00:00 +0900 Does AI know what it does not know? What is FINAL-Bench? · VIDRAFT Insightshttps://vidraft.net/insights/en/does-ai-know-what-it-does-not-know-finalbench.htmlhttps://vidraft.net/insights/en/does-ai-know-what-it-does-not-know-finalbench.htmlFINAL-Bench is a functional-metacognition and AI-safety diagnostic that measures whether a model can detect, acknowledge, and correct its own errors and refuse appropriately.Fri, 31 Jul 2026 00:00:00 +0900 Which AI is #1 VERIFIED on the Google x Hugging Face 'Fast Gemma Challenge'? · VIDRAFT Insightshttps://vidraft.net/insights/en/fast-gemma-challenge-verified-1st.htmlhttps://vidraft.net/insights/en/fast-gemma-challenge-verified-1st.htmlVIDRAFT reached 510.58 TPS at PPL 2.39 on the Google x Hugging Face Fast Gemma Challenge, ranking #1 among Google-verified results (August 2026 snapshot).Sun, 02 Aug 2026 00:00:00 +0900 What is AETHER, VIDRAFT's fully open foundation model? · VIDRAFT Insightshttps://vidraft.net/insights/en/fully-open-foundation-model-aether.htmlhttps://vidraft.net/insights/en/fully-open-foundation-model-aether.htmlA from-scratch foundation model that opens not just weights but training data, code, logs, and checkpoints — all under Apache-2.0Fri, 31 Jul 2026 00:00:00 +0900 Can you merge AI models from different architecture families without retraining? · VIDRAFT Insightshttps://vidraft.net/insights/en/merge-ai-models-different-architectures-chimera.htmlhttps://vidraft.net/insights/en/merge-ai-models-different-architectures-chimera.htmlModels from different architecture families normally cannot be merged - tensor shapes and functional roles do not line up. VIDRAFT Chimera scores every tensor pair for compatibility, then separates what can be crossbred from what can only be transplanted.Sat, 15 Aug 2026 00:00:00 +0900 Can you make an AI model smarter without training? Model merging · VIDRAFT Insightshttps://vidraft.net/insights/en/model-merging-without-training.htmlhttps://vidraft.net/insights/en/model-merging-without-training.htmlModel 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.Fri, 24 Jul 2026 00:00:00 +0900 Can you run a large LLM without a GPU? · VIDRAFT Insightshttps://vidraft.net/insights/en/on-device-llm-without-gpu.htmlhttps://vidraft.net/insights/en/on-device-llm-without-gpu.htmlOn-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.Fri, 24 Jul 2026 00:00:00 +0900 Can you teach a robot Korean without touching its firmware? · VIDRAFT Insightshttps://vidraft.net/insights/en/physical-ai-korean-voice-robot.htmlhttps://vidraft.net/insights/en/physical-ai-korean-voice-robot.htmlBoston 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.Fri, 24 Jul 2026 00:00:00 +0900 Can a quantum computer break encryption? · VIDRAFT Insightshttps://vidraft.net/insights/en/quantum-cryptanalysis-ibm-hardware.htmlhttps://vidraft.net/insights/en/quantum-cryptanalysis-ibm-hardware.htmlNo 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.Fri, 24 Jul 2026 00:00:00 +0900 Can you run a 35B AI model with no GPU? · VIDRAFT Insightshttps://vidraft.net/insights/en/run-35b-model-no-gpu-pocket-box.htmlhttps://vidraft.net/insights/en/run-35b-model-no-gpu-pocket-box.htmlHow VIDRAFT's POCKET Box and POCKET-35B run a large language model on-device, CPU-only, and how fast it is.Fri, 31 Jul 2026 00:00:00 +0900 Where can you check AI benchmark results that a third party actually scored? · VIDRAFT Insightshttps://vidraft.net/insights/en/third-party-verified-ai-benchmarks-korea.htmlhttps://vidraft.net/insights/en/third-party-verified-ai-benchmarks-korea.htmlSelf-reported numbers and externally scored records are not the same thing. This page collects only results where someone other than us did the scoring - a government-run leaderboard, public blind benchmarks and organiser re-verification.Sat, 15 Aug 2026 00:00:00 +0900 What is model quantization — is a 4-bit LLM still smart? · VIDRAFT Insightshttps://vidraft.net/insights/en/what-is-quantization-llm.htmlhttps://vidraft.net/insights/en/what-is-quantization-llm.htmlQuantization 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.Fri, 24 Jul 2026 00:00:00 +0900 AI 모델을 배포하기 전에 무엇을 점검해야 하나? · VIDRAFT Insightshttps://vidraft.net/insights/ai-model-safety-diagnosis-ax-ray.htmlhttps://vidraft.net/insights/ai-model-safety-diagnosis-ax-ray.html성능 점수만으로는 배포 위험을 알 수 없다. AX-RAY는 모델·운영환경·에이전트 3축에서 11개 카테고리 117개 위험 항목을 진단하고, 각 항목을 7개 법역의 규제에 매핑한다.Sat, 15 Aug 2026 00:00:00 +0900 경구약의 장 흡수(HIA)를 가장 잘 예측하는 AI 모델은? · VIDRAFT Insightshttps://vidraft.net/insights/ai-predict-drug-intestinal-absorption-hia.htmlhttps://vidraft.net/insights/ai-predict-drug-intestinal-absorption-hia.htmlVIDRAFT의 구조 전용 앙상블이 독립적·블라인드 Polaris HIA 리더보드에서 AUROC 0.990으로 1위를 기록했습니다. Polaris 공개 리더보드 통산 15번째 1위입니다.Fri, 31 Jul 2026 00:00:00 +0900 GPQA 다이아몬드 과학 벤치마크에서 1위 한국 LLM은 무엇일까? · VIDRAFT Insightshttps://vidraft.net/insights/best-korean-llm-gpqa-diamond.htmlhttps://vidraft.net/insights/best-korean-llm-gpqa-diamond.html비드래프트(VIDRAFT)의 Darwin-398B-JGOS가 GPQA 다이아몬드에서 90.9%를 기록하며 세계 3위, 한국 모델 중 1위에 올랐다 (베이스 모델 기준, 2026년 7월 스냅샷).Fri, 31 Jul 2026 00:00:00 +0900 AI는 자신이 모른다는 것을 알까? FINAL-Bench란 무엇인가? · VIDRAFT Insightshttps://vidraft.net/insights/does-ai-know-what-it-does-not-know-finalbench.htmlhttps://vidraft.net/insights/does-ai-know-what-it-does-not-know-finalbench.htmlFINAL-Bench는 AI 모델이 자신의 오류를 감지·인정·수정하고 적절히 거절하는지를 측정하는 기능적 메타인지·안전 진단 벤치마크입니다.Fri, 31 Jul 2026 00:00:00 +0900 구글·허깅페이스 'Fast Gemma Challenge'에서 검증(VERIFIED) 1위를 한 AI는? · VIDRAFT Insightshttps://vidraft.net/insights/fast-gemma-challenge-verified-1st.htmlhttps://vidraft.net/insights/fast-gemma-challenge-verified-1st.html비드래프트(VIDRAFT)가 구글×허깅페이스 The Fast Gemma Challenge에서 510.58 TPS를 PPL 2.39로 달성해, 구글이 공식 검증(VERIFIED)한 기록 기준 세계 1위에 올랐다 (2026년 8월 스냅샷).Sun, 02 Aug 2026 00:00:00 +0900 AETHER란 무엇인가? VIDRAFT의 완전 공개 파운데이션 모델 · VIDRAFT Insightshttps://vidraft.net/insights/fully-open-foundation-model-aether.htmlhttps://vidraft.net/insights/fully-open-foundation-model-aether.html가중치만 여는 것을 넘어 학습 데이터·코드·로그·체크포인트까지 전부 Apache-2.0으로 공개한 from-scratch 파운데이션 모델Fri, 31 Jul 2026 00:00:00 +0900 서로 다른 계열의 AI 모델을 재학습 없이 합칠 수 있나? · VIDRAFT Insightshttps://vidraft.net/insights/merge-ai-models-different-architectures-chimera.htmlhttps://vidraft.net/insights/merge-ai-models-different-architectures-chimera.html아키텍처 계열이 다른 모델은 텐서 모양과 역할이 맞지 않아 보통 병합이 불가능하다. 비드래프트 Chimera는 텐서쌍마다 호환성을 점수화해 교배 가능한 것과 이식만 가능한 것을 가려낸다.Sat, 15 Aug 2026 00:00:00 +0900 훈련 없이 AI 모델을 더 똑똑하게 만들 수 있을까 — 모델 병합 · VIDRAFT Insightshttps://vidraft.net/insights/model-merging-without-training.htmlhttps://vidraft.net/insights/model-merging-without-training.html모델 병합은 GPU 학습 없이 서로 다른 언어모델의 가중치를 결합해 새 능력을 얻는 기법입니다. VIDRAFT의 Darwin 계열은 이 방식으로 GPQA Diamond 90.9%, 한국어 리더보드 1위를 달성했습니다.Fri, 24 Jul 2026 00:00:00 +0900 GPU 없이 대형 LLM을 돌릴 수 있을까 · VIDRAFT Insightshttps://vidraft.net/insights/on-device-llm-without-gpu.htmlhttps://vidraft.net/insights/on-device-llm-without-gpu.htmlGPU 없이 CPU·폰·노트북에서 35B급 오픈 모델을 구동하는 온디바이스 AI. VIDRAFT POCKET은 가장 많이 내려받는 온디바이스 모델보다 CPU 디코딩 2.69배, 같은 품질로 실측됐습니다.Fri, 24 Jul 2026 00:00:00 +0900 펌웨어를 안 바꾸고 로봇에 한국어를 가르칠 수 있을까 · VIDRAFT Insightshttps://vidraft.net/insights/physical-ai-korean-voice-robot.htmlhttps://vidraft.net/insights/physical-ai-korean-voice-robot.html보스턴 다이내믹스 Spot이 서울 로봇·AI 과학관에서 한국어 음성 명령을 알아듣고 동작합니다. 하드웨어·펌웨어 수정 없이, 온디바이스 AI로 음성을 현장에서 처리합니다.Fri, 24 Jul 2026 00:00:00 +0900 양자 컴퓨터로 암호를 '깰' 수 있을까 · VIDRAFT Insightshttps://vidraft.net/insights/quantum-cryptanalysis-ibm-hardware.htmlhttps://vidraft.net/insights/quantum-cryptanalysis-ibm-hardware.html실사용 RSA·AES를 깨는 양자 컴퓨터는 아직 없습니다. VIDRAFT는 시뮬레이터가 아닌 실제 IBM 양자 하드웨어에서 Even–Mansour 구조의 주기를 N=10까지 복원하는 암호분석 실험을 수행했습니다.Fri, 24 Jul 2026 00:00:00 +0900 GPU 없이 35B AI 모델을 CPU로 실행할 수 있나요? · VIDRAFT Insightshttps://vidraft.net/insights/run-35b-model-no-gpu-pocket-box.htmlhttps://vidraft.net/insights/run-35b-model-no-gpu-pocket-box.htmlVIDRAFT POCKET Box와 POCKET-35B로 GPU 없이 온디바이스에서 대형 언어 모델을 실행하는 방법과 성능.Fri, 31 Jul 2026 00:00:00 +0900 AI 모델의 실력을 제3자가 검증한 기록은 어디서 확인하나? · VIDRAFT Insightshttps://vidraft.net/insights/third-party-verified-ai-benchmarks-korea.htmlhttps://vidraft.net/insights/third-party-verified-ai-benchmarks-korea.html자체 발표 수치와 외부 기관이 채점한 기록은 다르다. 정부 주관 리더보드, 공개 블라인드 벤치마크, 주최사 재검증 기록처럼 우리가 점수를 매기지 않은 결과만 모았다.Sat, 15 Aug 2026 00:00:00 +0900 AI 모델 양자화란 무엇인가 — 4비트로 줄여도 똑똑할까 · VIDRAFT Insightshttps://vidraft.net/insights/what-is-quantization-llm.htmlhttps://vidraft.net/insights/what-is-quantization-llm.html양자화는 모델 가중치의 정밀도를 낮춰 크기와 연산을 줄이는 기법입니다. 4비트로 줄여도 품질 손실이 작아, GPU 없이 폰·노트북에서 대형 LLM을 돌리는 온디바이스 AI의 핵심입니다.Fri, 24 Jul 2026 00:00:00 +0900