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<title>ONGRID · Ontology Graph Decision Engine</title>
<meta name="description" content="ONGRID — Ontology · Graph · Decision(ZTC) 통합 지식엔진. 문서를 3D 온톨로지 그래프로 구성하고, 질의하면 그래프 근거로 LLM이 답하며 ZTC가 0토큰으로 검증한다. by VIDRAFT">
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<h1 id="t-title">ONGRID</h1>
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<div class="brand"><b>VIDRAFT</b> ONGRID · Ontology·Graph·Decision · <a href="https://vidraft.net" target="_blank" rel="noopener">vidraft.net</a></div>
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"Korea.kr Policy Briefing", "name_zh": "Korea.kr Policy Briefing", "group": "media"}, {"id": "a46", "name": "‘사이버보안 특화 AI 모델’ 개발에 네이버클라우드 컨소시엄 선정 — 비드래프트 참여", "name_en": "Naver Cloud consortium selected for Korea’s cybersecurity AI foundation model — VIDRAFT pa", "name_zh": "Naver Cloud consortium selected for Korea’s cybersecurity AI foundation model — VIDRAFT pa", "group": "article"}, {"id": "m:Digital Daily", "name": "디지털데일리", "name_en": "Digital Daily", "name_zh": "Digital Daily", "group": "media"}, {"id": "a47", "name": "VIDOG 키트: 비드래프트, 로봇에 온디바이스 AI 후장착 (독일 매체 보도)", "name_en": "VIDOG-Kit: VIDRAFT retrofits robots with on-device AI (German media)", "name_zh": "VIDOG-Kit: VIDRAFT retrofits robots with on-device AI (German media)", "group": "article"}, {"id": "m:ad-hoc-news (Germany)", "name": "ad-hoc-news (독일)", "name_en": "ad-hoc-news (Germany)", "name_zh": "ad-hoc-news (Germany)", "group": "media"}, {"id": "t:physical-ai", "name": "피지컬AI", "name_en": "Physical AI", "name_zh": "具身智能", "group": "topic"}, {"id": "a48", "name": "비드래프트, 원격조종 로봇→자율보행 전환 AI 키트 ‘비독’ 공급", "name_en": "VIDRAFT supplies ‘VIDOG’ AI kit turning remote-control robots into autonomous walkers", "name_zh": "VIDRAFT supplies ‘VIDOG’ AI kit turning remote-control robots into autonomous walkers", "group": "article"}, {"id": "m:Robot News", "name": "로봇신문", "name_en": "Robot News", "name_zh": "Robot News", "group": "media"}, {"id": "a49", "name": "비드래프트, “AI 문명은 창발인가 암송인가”…라이브 실험세계 ‘ai-월드’ 공개", "name_en": "VIDRAFT unveils live experiment world ‘ai-world’: is AI civilization emergence or recitati", "name_zh": "VIDRAFT unveils live experiment world ‘ai-world’: is AI civilization emergence or recitati", "group": "article"}, {"id": "a50", "name": "비드래프트 AI 신약 검증 ‘Open Discovery Challenge’, 후보물질 제출 1만 건 돌파", "name_en": "VIDRAFT AI drug-discovery challenge ‘Open Discovery Challenge’ tops 10,000 submissions", "name_zh": "VIDRAFT AI drug-discovery challenge ‘Open Discovery Challenge’ tops 10,000 submissions", "group": "article"}, {"id": "a51", "name": "비드래프트 AX-RAY, ‘국가 보안 AI 파운데이션 모델’ 안전성 검증 기술 채택", "name_en": "VIDRAFT AX-RAY adopted to verify safety of national security AI foundation model", "name_zh": "VIDRAFT AX-RAY adopted to verify safety of national security AI foundation model", "group": "article"}, {"id": "m:JoongAng Ilbo", "name": "중앙일보", "name_en": "JoongAng Ilbo", "name_zh": "JoongAng Ilbo", "group": "media"}, {"id": "a52", "name": "비드래프트, 로봇 자율보행 AI 키트 ‘VIDOG’ 공급", "name_en": "VIDRAFT supplies robot autonomous-walking AI kit ‘VIDOG’", "name_zh": "VIDRAFT supplies robot autonomous-walking AI kit ‘VIDOG’", "group": "article"}, {"id": "m:Hankook Ilbo", "name": "한국일보", "name_en": "Hankook Ilbo", "name_zh": "Hankook Ilbo", "group": "media"}, {"id": "a53", "name": "비드래프트, 허깅페이스 AI 모델 다운로드 160만 돌파", "name_en": "VIDRAFT surpasses 1.6 million AI model downloads on Hugging Face", "name_zh": "VIDRAFT surpasses 1.6 million AI model downloads on Hugging Face", "group": "article"}, {"id": "a54", "name": "비드래프트, 기업·기관 인공지능 맞춤 육성 ‘AI 파운드리’ 사업 추진", "name_en": "VIDRAFT launches ‘AI Foundry’ business to custom-grow AI for enterprises", "name_zh": "VIDRAFT launches ‘AI Foundry’ business to custom-grow AI for enterprises", "group": "article"}, {"id": "a55", "name": "비드래프트 'ai-world', 허깅페이스 Spaces of the Week (주간 Top 8) 선정 — 2026년 9월 1주차", "name_en": "VIDRAFT 'ai-world' selected for Hugging Face Spaces of the Week (Weekly Top 8) — 1st week ", "name_zh": "VIDRAFT 'ai-world' selected for Hugging Face Spaces of the Week (Weekly Top 8) — 1st week ", "group": "article"}, {"id": "a56", "name": "비드래프트, 공개 AI 모델서 인과 누설 확인…보안 AI 사업 참여 추진", "name_en": "VIDRAFT confirms causal leakage in released AI models and moves into the security-AI progr", "name_zh": "VIDRAFT confirms causal leakage in released AI models and moves into the security-AI progr", "group": "article"}, {"id": "a57", "name": "비드래프트 논문 하나가 만든 삼단 구조…연구·AX-RAY·국가 보안 AI", "name_en": "One paper, three tiers: VIDRAFT's research, AX-RAY, and the national security-AI programme", "name_zh": "One paper, three tiers: VIDRAFT's research, AX-RAY, and the national security-AI programme", "group": "article"}, {"id": "m:ETNews", "name": "전자신문", "name_en": "ETNews", "name_zh": "ETNews", "group": "media"}, {"id": "a58", "name": "비드래프트, AI ‘인과 누설’ 진단 기술 AX-RAY 적용…보안 특화 모델 검증 확대", "name_en": "VIDRAFT applies its causal-leakage diagnostic to AX-RAY, extending verification into secur", "name_zh": "VIDRAFT applies its causal-leakage diagnostic to AX-RAY, extending verification into secur", "group": "article"}, {"id": "m:Economist Korea", "name": "이코노미스트", "name_en": "Economist Korea", "name_zh": "Economist Korea", "group": "media"}, {"id": "a59", "name": "비드래프트, AI ‘인과 누설’ 진단 연구 공개…보안 AI 사업 참여 추진", "name_en": "VIDRAFT publishes its causal-leakage diagnostic research and moves it into the national se", "name_zh": "VIDRAFT publishes its causal-leakage diagnostic research and moves it into the national se", "group": "article"}, {"id": "a60", "name": "‘보안 특화 AI’ SKT·네이버클라우드 2파전, KT는 불참 — 비드래프트·LG CNS 네이버클라우드 컨소시엄 합류", "name_en": "Two consortia bid for Korea's cybersecurity foundation-model programme — VIDRAFT and LG CN", "name_zh": "Two consortia bid for Korea's cybersecurity foundation-model programme — VIDRAFT and LG CN", "group": "article"}, {"id": "m:Bizwatch", "name": "비즈워치", "name_en": "Bizwatch", "name_zh": "Bizwatch", "group": "media"}, {"id": "a61", "name": "비드래프트, ‘인과 누설’ 실증 논문서 AX-RAY로…보안 파운데이션 모델 검증 기술로 확장", "name_en": "VIDRAFT extends its causal-leakage findings into AX-RAY, offered as the safety-verificatio", "name_zh": "VIDRAFT extends its causal-leakage findings into AX-RAY, offered as the safety-verificatio", "group": "article"}, {"id": "a62", "name": "러시아 IT매체 vc.ru 분석 — Darwin-36B-Opus, 학습이 아니라 '육종'으로 397B급 성능 (GPQA 88.4%)", "name_en": "Russian tech outlet vc.ru — Darwin-36B-Opus: bred rather than trained, matching 397B model", "name_zh": "Russian tech outlet vc.ru — Darwin-36B-Opus: bred rather than trained, matching 397B model", "group": "article"}, {"id": "m:vc.ru (Russia)", "name": "vc.ru (러시아)", "name_en": "vc.ru (Russia)", "name_zh": "vc.ru (Russia)", "group": "media"}, {"id": "e:GPQA", "name": "GPQA", "name_en": "GPQA", "name_zh": "GPQA", "group": "bench"}, {"id": "a63", "name": "비젠메디컬 분석 — 말라리아·결핵 AI 신약, 클로드 43.7점 초기 데이터가 던진 질문", "name_en": "Vizen Medical analysis — what the early Claude 43.7 figure from the Open Discovery Challen", "name_zh": "Vizen Medical analysis — what the early Claude 43.7 figure from the Open Discovery Challen", "group": "article"}, {"id": "m:Vizen Medical", "name": "비젠메디컬", "name_en": "Vizen Medical", "name_zh": "Vizen Medical", "group": "media"}, {"id": "a64", "name": "영문 IT매체 RuntimeWire 보도 — FINAL-Bench, 데이터 분할 방식만 바꿔 AUROC 0.21 격차 확인 (신약 예측 벤치마크 LEADBOARD", "name_en": "FINAL-Bench finds a 0.21 AUROC gap between time and random splits", "name_zh": "FINAL-Bench finds a 0.21 AUROC gap between time and random splits", "group": "article"}, {"id": "m:RuntimeWire (Global)", "name": "RuntimeWire (영문)", "name_en": "RuntimeWire (Global)", "name_zh": "RuntimeWire (Global)", "group": "media"}, {"id": "a65", "name": "이스트소프트, ‘알비서’로 모두의 AI 서비스 도전 — 비드래프트, AI 모델 성능 최적화·경량화 담당", "name_en": "ESTsoft bids for Korea's national AI service with 'Al Biseo' — VIDRAFT leads model optimis", "name_zh": "ESTsoft bids for Korea's national AI service with 'Al Biseo' — VIDRAFT leads model optimis", "group": "article"}, {"id": "a66", "name": "美 AP News 보도자료 게재 — OpenAI·Claude·Gemini·DeepSeek 중 누가 더 나은 신약 후보를 찾는가 (Open Discovery Cha", "name_en": "Press release on AP News — OpenAI, Claude, Gemini or DeepSeek: which AI is better at disco", "name_zh": "Press release on AP News — OpenAI, Claude, Gemini or DeepSeek: which AI is better at disco", "group": "article"}, {"id": "m:AP News (USA)", "name": "AP News (미국)", "name_en": "AP News (USA)", "name_zh": "AP News (USA)", "group": "media"}, {"id": "a67", "name": "‘전국민 무료 AI’ 공모에 SKT·카카오·KT 등 6개 연합체 도전장 — 비드래프트, 이스트소프트 컨소시엄 참여", "name_en": "Six consortia bid for Korea's free national AI programme — VIDRAFT joins the ESTsoft conso", "name_zh": "Six consortia bid for Korea's free national AI programme — VIDRAFT joins the ESTsoft conso", "group": "article"}, {"id": "m:Hankyoreh", "name": "한겨레", "name_en": "Hankyoreh", "name_zh": "Hankyoreh", "group": "media"}, {"id": "a68", "name": "비드래프트, AI 신약발견 프로젝트 공개…3일 만에 2000건 이상 후보물질 제출", "name_en": "VIDRAFT opens its AI drug-discovery project — over 2,000 candidate compounds submitted in ", "name_zh": "VIDRAFT opens its AI drug-discovery project — over 2,000 candidate compounds submitted in ", "group": "article"}, {"id": "a69", "name": "비드래프트, AI 안전성 진단 ‘AX-RAY’ 리더보드·데이터셋 공개", "name_en": "VIDRAFT releases the AX-RAY AI safety diagnostics leaderboard and evaluation dataset", "name_zh": "VIDRAFT releases the AX-RAY AI safety diagnostics leaderboard and evaluation dataset", "group": "article"}, {"id": "a70", "name": "비드래프트, AI 신약 탐색 챌린지 공개 3일 만에 2000 건 돌파", "name_en": "VIDRAFT's AI drug discovery challenge passes 2,000 submissions three days after launch", "name_zh": "VIDRAFT's AI drug discovery challenge passes 2,000 submissions three days after launch", "group": "article"}, {"id": "a71", "name": "말라리아·결핵 실제 신약 후보 경쟁서 클로드 계열 선두", "name_en": "Claude-family models lead a real drug-candidate competition for malaria and tuberculosis", "name_zh": "Claude-family models lead a real drug-candidate competition for malaria and tuberculosis", "group": "article"}, {"id": "a72", "name": "AI타임스 보도 — 비드래프트, 범용 LLM서 ‘인과누설’ 탐지…AI 안전성 진단 ‘AX-RAY’ 리더보드·평가 데이터셋 허깅페이스 공개", "name_en": "AI Times — VIDRAFT detects causal leakage in general-purpose LLMs and publishes AX-RAY, an", "name_zh": "AI Times — VIDRAFT detects causal leakage in general-purpose LLMs and publishes AX-RAY, an", "group": "article"}, {"id": "a73", "name": "일본 note, 비드래프트 Fast Gemma 검증 1위 기록 심층 분석", "name_en": "note (Japan) — an in-depth analysis of VIDRAFT's verified #1 record in the Fast Gemma Chal", "name_zh": "note (Japan) — an in-depth analysis of VIDRAFT's verified #1 record in the Fast Gemma Chal", "group": "article"}, {"id": "m:note (Japan)", "name": "note (일본)", "name_en": "note (Japan)", "name_zh": "note (Japan)", "group": "media"}, {"id": "a74", "name": "비드래프트, AI 안정성 진단 AX-RAY 및 평가 데이터셋 허깅페이스에 공개", "name_en": "VIDRAFT releases AX-RAY AI safety diagnostics and evaluation dataset on Hugging Face", "name_zh": "VIDRAFT releases AX-RAY AI safety diagnostics and evaluation dataset on Hugging Face", "group": "article"}, {"id": "a75", "name": "비드래프트 AX-Ray, 공개모델 결함 첫 실증", "name_en": "VIDRAFT AX-Ray delivers the first empirical demonstration of defects in public AI models", "name_zh": "VIDRAFT AX-Ray delivers the first empirical demonstration of defects in public AI models", "group": "article"}, {"id": "a76", "name": "비드래프트 AX-Ray, 범용 공개 AI 2종서 인과누설 결함 진단·재현 성공", "name_en": "VIDRAFT AX-Ray diagnoses and reproduces causal-leakage defects in two general-purpose publ", "name_zh": "VIDRAFT AX-Ray diagnoses and reproduces causal-leakage defects in two general-purpose publ", "group": "article"}, {"id": "a77", "name": "TLDR AI (미국) 게재 — 비드래프트(대표 김민식), 구글·허깅페이스 ‘The Fast Gemma Challenge’ 검증 부문 최고 기록 달성 구성 공개 ", "name_en": "TLDR AI (US) — VIDRAFT documented the full configuration behind its verified state-of-the-", "name_zh": "TLDR AI (US) — VIDRAFT documented the full configuration behind its verified state-of-the-", "group": "article"}, {"id": "m:TLDR AI (US)", "name": "TLDR AI (미국)", "name_en": "TLDR AI (US)", "name_zh": "TLDR AI (US)", "group": "media"}, {"id": "a78", "name": "한국경제TV 보도 — 비드래프트(대표 김민식), 구글·허깅페이스 ‘The Fast Gemma Challenge’ 검증 부문 최고 기록 (vidraft-darwin", "name_en": "Korea Economic TV — VIDRAFT posts the top verified score on Google×Hugging Face ‘The Fast ", "name_zh": "Korea Economic TV — VIDRAFT posts the top verified score on Google×Hugging Face ‘The Fast ", "group": "article"}, {"id": "m:Korea Economic TV", "name": "한국경제TV", "name_en": "Korea Economic TV", "name_zh": "Korea Economic TV", "group": "media"}, {"id": "a79", "name": "AI타임스 보도 — 비드래프트(대표 김민식), 구글 추론 최적화 경연 ‘The Fast Gemma Challenge’ 검증 기록 세계 1위 (vidraft-dar", "name_en": "AI Times — VIDRAFT takes global #1 on Google’s Fast Gemma Challenge (verified 510.58 TPS a", "name_zh": "AI Times — VIDRAFT takes global #1 on Google’s Fast Gemma Challenge (verified 510.58 TPS a", "group": "article"}, {"id": "a80", "name": "전자신문 보도 — 비드래프트(대표 김민식), 구글·허깅페이스 ‘The Fast Gemma Challenge’ 추론 최적화 경연서 검증(VERIFIED) 기록 세계", "name_en": "ETNews — VIDRAFT tops the Google × Hugging Face ‘Fast Gemma Challenge’ on verified records", "name_zh": "ETNews — VIDRAFT tops the Google × Hugging Face ‘Fast Gemma Challenge’ on verified records", "group": "article"}, {"id": "a81", "name": "동아일보 보도 — 국내 AI 스타트업 비드래프트, 구글 주최 ‘The Fast Gemma Challenge’ 검증 기록 부문 글로벌 1위", "name_en": "Dong-A Ilbo — Korean AI startup VIDRAFT takes global #1 on Google’s Fast Gemma Challenge (", "name_zh": "Dong-A Ilbo — Korean AI startup VIDRAFT takes global #1 on Google’s Fast Gemma Challenge (", "group": "article"}, {"id": "a82", "name": "한국경제 보도 — 비드래프트, 구글·허깅페이스 ‘The Fast Gemma Challenge’ 검증 부문 최고 기록", "name_en": "The Korea Economic Daily — VIDRAFT posts the top verified record on the Google × Hugging F", "name_zh": "The Korea Economic Daily — VIDRAFT posts the top verified record on the Google × Hugging F", "group": "article"}, {"id": "m:The Korea Economic Daily (Hankyung)", "name": "한국경제 (한경)", "name_en": "The Korea Economic Daily (Hankyung)", "name_zh": "The Korea Economic Daily (Hankyung)", "group": "media"}, {"id": "a83", "name": "러시아 IT매체 techora.ru, 주권형 AI 특집서 비드래프트 ‘Aether-7B-5Attn’ 심층 분석 — “세계 최초, 민간기업이 만든 완전 공개 오픈소", "name_en": "Russian tech outlet techora.ru features VIDRAFT’s Aether-7B-5Attn in a sovereign-AI deep d", "name_zh": "Russian tech outlet techora.ru features VIDRAFT’s Aether-7B-5Attn in a sovereign-AI deep d", "group": "article"}, {"id": "m:techora.ru (Russia)", "name": "techora.ru (러시아)", "name_en": "techora.ru (Russia)", "name_zh": "techora.ru (Russia)", "group": "media"}, {"id": "e:AETHER", "name": "AETHER", "name_en": "AETHER", "name_zh": "AETHER", "group": "model"}, {"id": "a84", "name": "일본 AI 매체 AI Chronicle 보도 — 비드래프트 POCKET-35B, iPhone·GPU 없는 PC에서 도는 35B MoE 온디바이스 모델(MoE로 메", "name_en": "Japanese AI outlet AI Chronicle covers VIDRAFT's POCKET-35B — a 35B MoE on-device model ru", "name_zh": "Japanese AI outlet AI Chronicle covers VIDRAFT's POCKET-35B — a 35B MoE on-device model ru", "group": "article"}, {"id": "m:AI Chronicle (Japan)", "name": "AI Chronicle (일본)", "name_en": "AI Chronicle (Japan)", "name_zh": "AI Chronicle (Japan)", "group": "media"}, {"id": "a85", "name": "IT BOLTWISE(독일) 보도 — 비드래프트, 서울 로봇·AI 과학관 Spot 로봇을 온디바이스 AI로 한국어 음성 대응(클라우드 없이·제조사 비독점 모듈형)", "name_en": "IT BOLTWISE (Germany) reports — VIDRAFT makes the Spot robot at Seoul's Robot & AI Museum ", "name_zh": "IT BOLTWISE (Germany) reports — VIDRAFT makes the Spot robot at Seoul's Robot & AI Museum ", "group": "article"}, {"id": "m:IT BOLTWISE (Germany)", "name": "IT BOLTWISE (독일)", "name_en": "IT BOLTWISE (Germany)", "name_zh": "IT BOLTWISE (Germany)", "group": "media"}, {"id": "a86", "name": "동아일보 보도 — 아워박스, 자체 개발 한국어 LLM 'Ourbox-31B-JGOS'로 K-AI 리더보드 30B+ 부문 2위… 말하는 3D 아바타 온디바이스 AI", "name_en": "Dong-A Ilbo reports — Ourbox reaches #2 in the 30B+ category of the K-AI Leaderboard with ", "name_zh": "Dong-A Ilbo reports — Ourbox reaches #2 in the 30B+ category of the K-AI Leaderboard with ", "group": "article"}, {"id": "a87", "name": "한국경제 보도 — 아워박스 'Ourbox-31B-JGOS', 과기정통부·NIA K-AI 리더보드 30B+ 부문 종합 2위 (비드래프트 온디바이스 AI 플랫폼 'P", "name_en": "Korea Economic Daily reports — Ourbox's 'Ourbox-31B-JGOS' ranks #2 overall in the 30B+ cat", "name_zh": "Korea Economic Daily reports — Ourbox's 'Ourbox-31B-JGOS' ranks #2 overall in the 30B+ cat", "group": "article"}, {"id": "a88", "name": "ZDNet 보도 — 스마트 물류기업 아워박스, 자체 개발 한국어 AI 'Ourbox-31B-JGOS'로 K-AI 리더보드 2위 (비드래프트 'POCKET' CPU", "name_en": "ZDNet Korea reports — Smart logistics firm Ourbox reaches #2 on the K-AI Leaderboard with ", "name_zh": "ZDNet Korea reports — Smart logistics firm Ourbox reaches #2 on the K-AI Leaderboard with ", "group": "article"}, {"id": "a89", "name": "중국 매체 桃子快讯 보도 — 비드래프트 POCKET-35B(GPU 없이 PC·폰에서 도는 35B 온디바이스 모델)가 Reddit r/LocalLLaMA 커뮤니티 ", "name_en": "Chinese outlet Táozi AI Flash covers VIDRAFT's POCKET-35B — a 35B on-device model that run", "name_zh": "Chinese outlet Táozi AI Flash covers VIDRAFT's POCKET-35B — a 35B on-device model that run", "group": "article"}, {"id": "m:Táozi AI Flash (China)", "name": "桃子快讯 (중국)", "name_en": "Táozi AI Flash (China)", "name_zh": "Táozi AI Flash (China)", "group": "media"}, {"id": "a90", "name": "美 반도체 권위지 SemiEngineering 편집진, 주간 '보안 연구논문' 리뷰에 비드래프트 양자 암호분석 논문(IBM 실기) 선정 — Meta·Google·", "name_en": "US semiconductor authority SemiEngineering editorial staff selects VIDRAFT's quantum crypt", "name_zh": "US semiconductor authority SemiEngineering editorial staff selects VIDRAFT's quantum crypt", "group": "article"}, {"id": "m:SemiEngineering (US)", "name": "SemiEngineering (미국)", "name_en": "SemiEngineering (US)", "name_zh": "SemiEngineering (US)", "group": "media"}, {"id": "a91", "name": "미국 금융뉴스 StreetInsider 게재 — 서울 로봇·AI과학관 Spot 로봇이 한국어 음성 명령 이해(비드래프트 온디바이스 AI, 클라우드 없이 현장 처리", "name_en": "Published on US financial news outlet StreetInsider — Spot robot at Seoul Robot & AI Scien", "name_zh": "Published on US financial news outlet StreetInsider — Spot robot at Seoul Robot & AI Scien", "group": "article"}, {"id": "m:StreetInsider (US)", "name": "StreetInsider (미국)", "name_en": "StreetInsider (US)", "name_zh": "StreetInsider (US)", "group": "media"}, {"id": "a92", "name": "캐나다 뉴스 편향·팩트 비교 애그리게이터 Ground News, 서울 박물관 Spot 로봇 한국어 음성제어 소식 집계 — 美 등 뉴스 소스 58곳 게재(74% 중", "name_en": "Canadian news bias/fact comparison aggregator Ground News aggregates news of Spot robot's ", "name_zh": "Canadian news bias/fact comparison aggregator Ground News aggregates news of Spot robot's ", "group": "article"}, {"id": "m:Ground News (Canada)", "name": "Ground News (캐나다)", "name_en": "Ground News (Canada)", "name_zh": "Ground News (Canada)", "group": "media"}, {"id": "a93", "name": "양자컴퓨터로 암호를 깨기 위해 도전한 이야기 — IBM 실기 Even-Mansour N=10", "name_en": "The story of attempting to break cryptography with a quantum computer — IBM real machine E", "name_zh": "The story of attempting to break cryptography with a quantum computer — IBM real machine E", "group": "article"}, {"id": "m:Brunch", "name": "브런치", "name_en": "Brunch", "name_zh": "Brunch", "group": "media"}, {"id": "a94", "name": "中 IT전문지 CNMO(手机中国), 'Aether-7B-5Attn' 완전공개 조명 — “영어 중심이 아닌 자주적 파운데이션 모델”", "name_en": "Chinese IT outlet CNMO (手机中国) highlights full disclosure of 'Aether-7B-5Attn' — \"An indepe", "name_zh": "Chinese IT outlet CNMO (手机中国) highlights full disclosure of 'Aether-7B-5Attn' — \"An indepe", "group": "article"}, {"id": "m:CNMO 手机中国 (China)", "name": "CNMO 手机中国 (중국)", "name_en": "CNMO 手机中国 (China)", "name_zh": "CNMO 手机中国 (China)", "group": "media"}, {"id": "a95", "name": "중국 최대 포털 텐센트 뉴스(腾讯新闻), 비드래프트 오픈소스 파운데이션 모델 'Aether-7B-5Attn' 보도", "name_en": "China's largest portal Tencent News (腾讯新闻) reports on VIDRAFT's open-source foundation mod", "name_zh": "China's largest portal Tencent News (腾讯新闻) reports on VIDRAFT's open-source foundation mod", "group": "article"}, {"id": "m:Tencent News (China)", "name": "텐센트 뉴스 (중국)", "name_en": "Tencent News (China)", "name_zh": "Tencent News (China)", "group": "media"}, {"id": "a96", "name": "중국 금융포털 金融界 게재 — 비드래프트, 학습 소스코드·가중치 전부 공개한 'Aether-7B' 오픈소스화", "name_en": "Published on Chinese financial portal 金融界 — VIDRAFT open-sources 'Aether-7B', fully releas", "name_zh": "Published on Chinese financial portal 金融界 — VIDRAFT open-sources 'Aether-7B', fully releas", "group": "article"}, {"id": "m:金融界 (China)", "name": "金融界 (중국)", "name_en": "金融界 (China)", "name_zh": "金融界 (China)", "group": "media"}, {"id": "a97", "name": "영문 IT매체 ReasonCore, 'Aether-7B-5Attn' 완전공개 조명 — 가중치·학습코드·데이터레시피·로그·체크포인트 전부 Apache-2.0로 재현", "name_en": "English-language IT outlet ReasonCore highlights full disclosure of 'Aether-7B-5Attn' — we", "name_zh": "English-language IT outlet ReasonCore highlights full disclosure of 'Aether-7B-5Attn' — we", "group": "article"}, {"id": "m:ReasonCore (Global)", "name": "ReasonCore (영문)", "name_en": "ReasonCore (Global)", "name_zh": "ReasonCore (Global)", "group": "media"}, {"id": "a98", "name": "비드래프트, 완전공개형 파운데이션 모델 공개…“AI 주권 구현”", "name_en": "VIDRAFT releases fully open foundation model... \"Realizing AI sovereignty\"", "name_zh": "VIDRAFT releases fully open foundation model... \"Realizing AI sovereignty\"", "group": "article"}, {"id": "a99", "name": "AI 스타트업 비드래프트, 독자 개발 파운데이션 모델 'Aether-7B-5Attn' 선봬", "name_en": "AI startup VIDRAFT unveils independently developed foundation model 'Aether-7B-5Attn'", "name_zh": "AI startup VIDRAFT unveils independently developed foundation model 'Aether-7B-5Attn'", "group": "article"}, {"id": "a100", "name": "비드래프트, 'AI밀키트' 오픈소스 LLM 공개…“누구나 재현 가능한 모델 구조 제시”", "name_en": "VIDRAFT releases 'AI meal-kit' open-source LLM... \"Presents a model structure anyone can r", "name_zh": "VIDRAFT releases 'AI meal-kit' open-source LLM... \"Presents a model structure anyone can r", "group": "article"}, {"id": "a101", "name": "비드래프트, 학습 과정까지 공개한 한국형 오픈소스 AI 모델 공개", "name_en": "VIDRAFT releases Korean-style open-source AI model, disclosing even the training process", "name_zh": "VIDRAFT releases Korean-style open-source AI model, disclosing even the training process", "group": "article"}, {"id": "a102", "name": "비드래프트, 파운데이션 모델 ‘Aether-7B-5Attn’ 공개… 학습 코드·데이터도 제공", "name_en": "VIDRAFT releases foundation model 'Aether-7B-5Attn'... also provides training code and dat", "name_zh": "VIDRAFT releases foundation model 'Aether-7B-5Attn'... also provides training code and dat", "group": "article"}, {"id": "a103", "name": "\"한국형 올모급 완전 공개 모델 등장\"…비드래프트, 학습 레시피·로그까지 공개", "name_en": "\"A Korean-style OLMo-level fully open model emerges\"... VIDRAFT discloses even training re", "name_zh": "\"A Korean-style OLMo-level fully open model emerges\"... VIDRAFT discloses even training re", "group": "article"}, {"id": "a104", "name": "비드래프트, 5~11종 이종 어텐션 통합 실험 기반 오픈소스 LLM 'Aether' 공개", "name_en": "VIDRAFT releases open-source LLM 'Aether' based on integrated experiments combining 5-11 t", "name_zh": "VIDRAFT releases open-source LLM 'Aether' based on integrated experiments combining 5-11 t", "group": "article"}, {"id": "a105", "name": "AI 스타트업 비드래프트, 오픈소스 모델 'Aether-7B-5Attn' 허깅페이스 공개", "name_en": "AI startup VIDRAFT releases open-source model 'Aether-7B-5Attn' on Hugging Face", "name_zh": "AI startup VIDRAFT releases open-source model 'Aether-7B-5Attn' on Hugging Face", "group": "article"}, {"id": "a106", "name": "비드래프트 AI 모델 ‘Darwin’, 허깅페이스 누적 다운로드 100만 건 돌파", "name_en": "VIDRAFT's AI model 'Darwin' surpasses 1 million cumulative downloads on Hugging Face", "name_zh": "VIDRAFT's AI model 'Darwin' surpasses 1 million cumulative downloads on Hugging Face", "group": "article"}, {"id": "a107", "name": "국내 AI 스타트업 비드래프트 ‘다윈’, 글로벌 다운로드 100만 건 돌파", "name_en": "Korean AI startup VIDRAFT's 'Darwin' surpasses 1 million global downloads", "name_zh": "Korean AI startup VIDRAFT's 'Darwin' surpasses 1 million global downloads", "group": "article"}, {"id": "a108", "name": "“적은 자원으로 고효율”…스타트업이 만든 AI ‘다윈’, 해외서 통했다", "name_en": "\"High efficiency with few resources\"... AI 'Darwin' made by a startup succeeds abroad", "name_zh": "\"High efficiency with few resources\"... AI 'Darwin' made by a startup succeeds abroad", "group": "article"}, {"id": "m:DBR", "name": "DBR", "name_en": "DBR", "name_zh": "DBR", "group": "media"}, {"id": "a109", "name": "“다윈 허깅페이스 누적 다운로드 100만 돌파” — 4월 첫 공개 후 3개월 만, 163만+", "name_en": "\"Darwin's cumulative Hugging Face downloads surpass 1 million\" — 3 months after first rele", "name_zh": "\"Darwin's cumulative Hugging Face downloads surpass 1 million\" — 3 months after first rele", "group": "article"}, {"id": "a110", "name": "비드래프트, ‘VKAE×VKUE’ 세트 엔진으로 AI IDC 운영 효율 극대화 제안", "name_en": "VIDRAFT proposes maximizing AI IDC operation efficiency with 'VKAE×VKUE' engine set", "name_zh": "VIDRAFT proposes maximizing AI IDC operation efficiency with 'VKAE×VKUE' engine set", "group": "article"}, {"id": "a111", "name": "비드래프트, 건축 설계 AI '빌딩' 무료 공개", "name_en": "VIDRAFT releases architectural design AI 'Building' for free", "name_zh": "VIDRAFT releases architectural design AI 'Building' for free", "group": "article"}, {"id": "a112", "name": "비드래프트, LLM 추론 가속 엔진 'VKAE' 리더보드·통합 컨테이너 공개", "name_en": "VIDRAFT unveils LLM inference acceleration engine 'VKAE' leaderboard and integrated contai", "name_zh": "VIDRAFT unveils LLM inference acceleration engine 'VKAE' leaderboard and integrated contai", "group": "article"}, {"id": "m:MSN", "name": "MSN", "name_en": "MSN", "name_zh": "MSN", "group": "media"}, {"id": "a113", "name": "이탈리아 iHAL, 비드래프트 ‘VKAE’ 조명 — LLM 추론 가속 엔진 공개", "name_en": "Italy's iHAL highlights VIDRAFT's 'VKAE' — unveils LLM inference acceleration engine", "name_zh": "Italy's iHAL highlights VIDRAFT's 'VKAE' — unveils LLM inference acceleration engine", "group": "article"}, {"id": "m:iHAL (Italy)", "name": "iHAL (이탈리아)", "name_en": "iHAL (Italy)", "name_zh": "iHAL (Italy)", "group": "media"}, {"id": "a114", "name": "비드래프트 모델 병합 기술 ‘다윈’, 中 기술매체서 조명", "name_en": "VIDRAFT's model merging technology 'Darwin' highlighted by Chinese tech media", "name_zh": "VIDRAFT's model merging technology 'Darwin' highlighted by Chinese tech media", "group": "article"}, {"id": "a115", "name": "비드래프트, IBM 156큐빗 양자컴퓨터로 양자 암호분석 실증…대칭키 구조 검증", "name_en": "VIDRAFT demonstrates quantum cryptanalysis with IBM 156-qubit quantum computer... verifies", "name_zh": "VIDRAFT demonstrates quantum cryptanalysis with IBM 156-qubit quantum computer... verifies", "group": "article"}, {"id": "a116", "name": "양자컴퓨터, 암호깨기 현존 한계를 한국 스타트업이 돌파", "name_en": "Korean startup breaks through current limits of code-breaking with quantum computer", "name_zh": "Korean startup breaks through current limits of code-breaking with quantum computer", "group": "article"}, {"id": "a117", "name": "비드래프트, 추론 가속 엔진 ‘VKAE’ 공개…리더보드·통합 컨테이너 제공", "name_en": "VIDRAFT unveils inference acceleration engine 'VKAE' — provides leaderboard and integrated", "name_zh": "VIDRAFT unveils inference acceleration engine 'VKAE' — provides leaderboard and integrated", "group": "article"}, {"id": "a118", "name": "베이징에서 모스크바까지 — 세계가 ‘비드래프트’를 읽다", "name_en": "From Beijing to Moscow — the world reads 'VIDRAFT'", "name_zh": "From Beijing to Moscow — the world reads 'VIDRAFT'", "group": "article"}, {"id": "a119", "name": "글로벌 Wedoany(영문), 비드래프트 VKAE 엔진 소개 — 처리량 최대 23.4배", "name_en": "Global Wedoany (English), introduces VIDRAFT VKAE engine — throughput up to 23.4x", "name_zh": "Global Wedoany (English), introduces VIDRAFT VKAE engine — throughput up to 23.4x", "group": "article"}, {"id": "m:Wedoany (China)", "name": "Wedoany (중국)", "name_en": "Wedoany (China)", "name_zh": "Wedoany (China)", "group": "media"}, {"id": "a120", "name": "Wedoany(포르투갈어), 비드래프트 VKAE 엔진 보도 — 처리량 최대 23.4배", "name_en": "Wedoany (Portuguese), reports on VIDRAFT VKAE engine — throughput up to 23.4x", "name_zh": "Wedoany (Portuguese), reports on VIDRAFT VKAE engine — throughput up to 23.4x", "group": "article"}, {"id": "a121", "name": "러시아 AI비즈니스 매체 hegai.media, VKAE 보도 — “재현용 컨테이너로 도입 前 직접 검증 가능” 평가", "name_en": "Russian AI business media hegai.media reports on VKAE — evaluates \"can be directly verifie", "name_zh": "Russian AI business media hegai.media reports on VKAE — evaluates \"can be directly verifie", "group": "article"}, {"id": "m:hegai.media (Russia)", "name": "hegai.media (러시아)", "name_en": "hegai.media (Russia)", "name_zh": "hegai.media (Russia)", "group": "media"}, {"id": "a122", "name": "비드래프트, LLM 추론 가속 엔진 ‘VKAE’ 리더보드·통합 컨테이너 공개", "name_en": "VIDRAFT unveils LLM inference acceleration engine 'VKAE' leaderboard and integrated contai", "name_zh": "VIDRAFT unveils LLM inference acceleration engine 'VKAE' leaderboard and integrated contai", "group": "article"}, {"id": "a123", "name": "비드래프트, 실제 양자컴퓨터로 대칭키 암호 구조 해독 실증", "name_en": "VIDRAFT demonstrates decryption of symmetric key cryptographic structure with real quantum", "name_zh": "VIDRAFT demonstrates decryption of symmetric key cryptographic structure with real quantum", "group": "article"}, {"id": "a124", "name": "'허깅페이스 공개 퀀텀OS 시뮬레이터'. 사진=비드래프트", "name_en": "'QuantumOS simulator released on Hugging Face'. Photo=VIDRAFT", "name_zh": "'QuantumOS simulator released on Hugging Face'. Photo=VIDRAFT", "group": "article"}, {"id": "a125", "name": "비드래프트, LLM 추론 가속 엔진 ‘VKAE’ 공개 — 리더보드·통합 컨테이너 지원", "name_en": "VIDRAFT unveils LLM inference acceleration engine 'VKAE' — supports leaderboard and integr", "name_zh": "VIDRAFT unveils LLM inference acceleration engine 'VKAE' — supports leaderboard and integr", "group": "article"}, {"id": "a126", "name": "러시아 IT 권위지 iXBT, 비드래프트 ‘VKAE’ 보도 — 단일 NVIDIA B200 GPU로 AI 추론 최대 23배 가속", "name_en": "Russian IT authority iXBT reports on VIDRAFT's 'VKAE' — accelerates AI inference up to 23x", "name_zh": "Russian IT authority iXBT reports on VIDRAFT's 'VKAE' — accelerates AI inference up to 23x", "group": "article"}, {"id": "m:iXBT.com (Russia)", "name": "iXBT.com (러시아)", "name_en": "iXBT.com (Russia)", "name_zh": "iXBT.com (Russia)", "group": "media"}, {"id": "a127", "name": "러시아 RusNews, VKAE 조명 — 단일 GPU B200서 추론 23배·Qwen3.5 1만 토큰/초", "name_en": "Russia's RusNews highlights VKAE — 23x inference on single B200 GPU, Qwen3.5 at 10,000 tok", 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{"id": "m:OpenCSG (China·distribution)", "name": "OpenCSG (중국·배포)", "name_en": "OpenCSG (China·distribution)", "name_zh": "OpenCSG (China·distribution)", "group": "media"}, {"id": "a167", "name": "LLM과 양자컴퓨팅 만난다… 비드래프트, 양자 AI 소프트웨어 공략", "name_en": "LLM meets quantum computing… VIDRAFT targets quantum AI software", "name_zh": "LLM meets quantum computing… VIDRAFT targets quantum AI software", "group": "article"}, {"id": "a168", "name": "양자컴퓨터를 만들지 않고, 양자컴퓨터에 뛰어든 회사", "name_en": "A company that didn't build a quantum computer, but ventured into quantum computing", "name_zh": "A company that didn't build a quantum computer, but ventured into quantum computing", "group": "article"}, {"id": "a169", "name": "똑똑한 AI 둘이 한 몸에 살기로 했다.", "name_en": "Two smart AIs decided to live in one body", "name_zh": "Two smart AIs decided to live in one body", "group": "article"}, {"id": "a170", "name": "LLM 효율화 경쟁 속 비드래프트, AI 프레임워크 기술 공개", "name_en": "Amid LLM efficiency race, VIDRAFT unveils AI framework 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largest portal Tencent News (腾讯新闻) spotlights VIDRAFT's 'Darwin Family' — \"AI capa", "name_zh": "China's largest portal Tencent News (腾讯新闻) spotlights VIDRAFT's 'Darwin Family' — \"AI capa", "group": "article"}, {"id": "a174", "name": "비드래프트, 추가 학습 없는 고성능 AI 기술 발표", "name_en": "VIDRAFT announces high-performance AI technology without additional training", "name_zh": "VIDRAFT announces high-performance AI technology without additional training", "group": "article"}, {"id": "m:Seoul Economic TV", "name": "서울경제TV", "name_en": "Seoul Economic TV", "name_zh": "Seoul Economic TV", "group": "media"}, {"id": "a175", "name": "비드래프트, GPU 재학습 없는 LLM 프레임워크 ‘Darwin Family’ 기술 공개", "name_en": "VIDRAFT unveils 'Darwin Family' LLM framework technology without GPU retraining", "name_zh": "VIDRAFT unveils 'Darwin Family' LLM framework technology without GPU retraining", "group": "article"}, {"id": "m:Seoul Shinmun", "name": "서울신문", "name_en": "Seoul Shinmun", "name_zh": "Seoul Shinmun", "group": "media"}, {"id": "a176", "name": "한국 스타트업 비드래프트, GPU 추가 학습 없이 글로벌 AI 추론 성능 3위 기록", "name_en": "Korean startup VIDRAFT ranks 3rd globally in AI inference performance without additional G", "name_zh": "Korean startup VIDRAFT ranks 3rd globally in AI inference performance without additional G", "group": "article"}, {"id": "a177", "name": "한국 스타트업, GPU 학습 없이 AI 세계 3위 기록", "name_en": "Korean startup ranks 3rd in world in AI without GPU training", "name_zh": "Korean startup ranks 3rd in world in AI without GPU training", "group": "article"}, {"id": "a178", "name": "GPU 없이 AI가 스스로 진화한다? 한국 연구팀 증명", "name_en": "AI evolves on its own without GPU? Korean research team proves it", "name_zh": "AI evolves on its own without GPU? Korean research team proves it", "group": "article"}, {"id": "a179", "name": "허깅페이스 공인 리더보드, 상위 21개 모델에 中 16개·韓 비드래프트 5개", "name_en": "Hugging Face-certified leaderboard: 16 Chinese models and 5 VIDRAFT (Korea) models among t", "name_zh": "Hugging Face-certified leaderboard: 16 Chinese models and 5 VIDRAFT (Korea) models among t", "group": "article"}, {"id": "a180", "name": "협회 회원사 비드래프트, HF 공인 GPQA Top 21 중 5개 선정·다윈 단독 점유·K-AI 리더보드 상위권", "name_en": "Association member VIDRAFT: 5 selected among HF-certified GPQA Top 21, Darwin sole occupan", "name_zh": "Association member VIDRAFT: 5 selected among HF-certified GPQA Top 21, Darwin sole occupan", "group": "article"}, {"id": "m:Korea Small Giant Enterprises Association", "name": "한국강소기업협회", "name_en": "Korea Small Giant Enterprises Association", "name_zh": "Korea Small Giant Enterprises Association", "group": "media"}, {"id": "a181", "name": "허깅페이스 공인 리더보드, 중국 중심 재편…한국은 비드래프트 약진", "name_en": "Hugging Face-certified leaderboard reorganized around China... Korea's VIDRAFT advances", "name_zh": "Hugging Face-certified leaderboard reorganized around China... Korea's VIDRAFT advances", "group": "article"}, {"id": "a182", "name": "대만 BigGo Finance, HF GPQA 리더보드서 비드래프트 ‘Darwin’ 5종 조명 — 韓 진입 전부 Darwin", "name_en": "Taiwan's BigGo Finance spotlights VIDRAFT's 5 'Darwin' models on HF GPQA leaderboard — all", "name_zh": "Taiwan's BigGo Finance spotlights VIDRAFT's 5 'Darwin' models on HF GPQA leaderboard — all", "group": "article"}, {"id": "m:BigGo Finance (Taiwan)", "name": "BigGo Finance (대만)", "name_en": "BigGo Finance (Taiwan)", "name_zh": "BigGo Finance (Taiwan)", "group": "media"}, {"id": "a183", "name": "허깅페이스, Gpqa벤치마크 상위 21위 조사결과 충격", "name_en": "Hugging Face's GPQA benchmark top 21 survey results shocking", "name_zh": "Hugging Face's GPQA benchmark top 21 survey results shocking", "group": "article"}, {"id": "a184", "name": "비드래프트, 브라우저 기반 로컬 AI '한수' 공개…데이터 주권형 서비스 제시", "name_en": "VIDRAFT unveils browser-based local AI 'Hansu'... presents data sovereignty-type service", "name_zh": "VIDRAFT unveils browser-based local AI 'Hansu'... presents data sovereignty-type service", "group": "article"}, {"id": "a185", "name": "비드래프트, 브라우저 기반 로컬AI ‘한수’ 공개…오프라인 환경서 문서 처리", "name_en": "VIDRAFT unveils browser-based local AI 'Hansu'... document processing in offline environme", "name_zh": "VIDRAFT unveils browser-based local AI 'Hansu'... document processing in offline environme", "group": "article"}, {"id": "m:Asia Today", "name": "아시아투데이", "name_en": "Asia Today", "name_zh": "Asia Today", "group": "media"}, {"id": "a186", "name": "비드래프트, 브라우저 기반 로컬 AI ‘한수’ 공개…오프라인 환경서 문서 처리 지원", "name_en": "VIDRAFT unveils browser-based local AI 'Hansu'... supports document processing in offline ", "name_zh": "VIDRAFT unveils browser-based local AI 'Hansu'... supports document processing in offline ", "group": "article"}, {"id": "a187", "name": "비드래프트 브라우저에서 구동되는 완전 로컬 AI '한수(韓守)' 공개", "name_en": "VIDRAFT unveils fully local AI 'Hansu (韓守)' that runs in browser", "name_zh": "VIDRAFT unveils fully local AI 'Hansu (韓守)' that runs in browser", "group": "article"}, {"id": "a188", "name": "비드래프트, 브라우저 기반 로컬 AI ‘한수’ 공개…데이터 주권형 업무 AI 제시", "name_en": "VIDRAFT unveils browser-based local AI 'Hansu'... presents data sovereignty-type work AI", "name_zh": "VIDRAFT unveils browser-based local AI 'Hansu'... presents data sovereignty-type work AI", "group": "article"}, {"id": "a189", "name": "지니젠AI, 'K-AI 리더보드' 2위…첨단 GPU 활용 지원 사업 선정", "name_en": "JinijenAI ranks 2nd on 'K-AI Leaderboard'... selected for advanced GPU utilization support", "name_zh": "JinijenAI ranks 2nd on 'K-AI Leaderboard'... selected for advanced GPU utilization support", "group": "article"}, {"id": "a190", "name": "세계 최초 멀티모달리티 이종 전이 모델 공개", "name_en": "World's first multimodality heterogeneous transfer model unveiled", "name_zh": "World's first multimodality heterogeneous transfer model unveiled", "group": "article"}, {"id": "a191", "name": "지니젠AI, ‘K-AI 리더보드’ 종합 2위 및 ‘첨단 GPU 활용 지원 사업’ 동시 선정", "name_en": "GenieGenAI selected as overall No. 2 on 'K-AI Leaderboard' and for 'Advanced GPU Utilizati", "name_zh": "GenieGenAI selected as overall No. 2 on 'K-AI Leaderboard' and for 'Advanced GPU Utilizati", "group": "article"}, {"id": "m:Maeil Business", "name": "매일경제", "name_en": "Maeil Business", "name_zh": "Maeil Business", "group": "media"}, {"id": "a192", "name": "AI 모델도 교배를 한다? — 학습 없이 세계 5위를", "name_en": "Do AI models interbreed too? — Reaching world No. 5 without training", "name_zh": "Do AI models interbreed too? — Reaching world No. 5 without training", "group": "article"}, {"id": "a193", "name": "김민식 비드래프트 대표. 사진=비드래프트", "name_en": "Kim Min-sik, CEO of VIDRAFT. Photo=VIDRAFT", "name_zh": "Kim Min-sik, CEO of VIDRAFT. Photo=VIDRAFT", "group": "article"}, {"id": "a194", "name": "비드래프트, 체화 AI 월드 모델 'PROMETHEUS' 공개", "name_en": "VIDRAFT unveils embodied AI world model 'PROMETHEUS'", "name_zh": "VIDRAFT unveils embodied AI world model 'PROMETHEUS'", "group": "article"}, {"id": "a195", "name": "서로 다른 LLM 2개를 교배하고 진화하여 자식을 낳다", "name_en": "Crossbreeding and evolving two different LLMs to produce offspring", "name_zh": "Crossbreeding and evolving two different LLMs to produce offspring", "group": "article"}, {"id": "a196", "name": "비드래프트, 체화 AI 월드 모델 ‘프로메테우스’ 공개", "name_en": "VIDRAFT unveils embodied AI world model 'Prometheus'", "name_zh": "VIDRAFT unveils embodied AI world model 'Prometheus'", "group": "article"}, {"id": "a197", "name": "AI 모델도 '교배'가 된다고? 부모보다 똑똑한 자식!", "name_en": "AI models can 'interbreed' too? Offspring smarter than their parents!", "name_zh": "AI models can 'interbreed' too? Offspring smarter than their parents!", "group": "article"}, {"id": "a198", "name": "LLM은 이제 끝물이다. 월드모델이 AGI를 촉발시킨다", "name_en": "LLMs are nearing their end. World models will trigger AGI", "name_zh": "LLMs are nearing their end. World models will trigger AGI", "group": "article"}, {"id": "a199", "name": "AI의 뇌를 들여다보다 — 한국이 LLM MRI 만들다", "name_en": "Looking into the brain of AI — Korea creates an LLM MRI", "name_zh": "Looking into the brain of AI — Korea creates an LLM MRI", "group": "article"}, {"id": "a200", "name": "SiteAgent, 브라우저 AI 에이전트 등장", "name_en": "SiteAgent, a browser AI agent, emerges", "name_zh": "SiteAgent, a browser AI agent, emerges", "group": "article"}, {"id": "a201", "name": "HWP를 읽으려다 HWP를 감시하게 됐습니다", "name_en": "Tried to read HWP, ended up monitoring HWP", "name_zh": "Tried to read HWP, ended up monitoring HWP", "group": "article"}, {"id": "a202", "name": "지니젠AI, 소형 AI모델 전용평가체계 공개…허깅페이스 스페이스·데이터셋 10위권 동시 진입", "name_en": "GenieGenAI unveils dedicated evaluation system for small AI models…simultaneously enters t", "name_zh": "GenieGenAI unveils dedicated evaluation system for small AI models…simultaneously enters t", "group": "article"}, {"id": "a203", "name": "비드래프트, LLM 환각 줄이는 AI 추론 미들웨어 ‘MARL’ 전 세계 동시 공개", "name_en": "VIDRAFT globally unveils 'MARL,' an AI reasoning middleware that reduces LLM hallucination", "name_zh": "VIDRAFT globally unveils 'MARL,' an AI reasoning middleware that reduces LLM hallucination", "group": "article"}, {"id": "a204", "name": "비드래프트, 환각 줄이는 추론 미들웨어 'MARL' 전 세계 동시 공개", "name_en": "VIDRAFT globally unveils reasoning middleware 'MARL' that reduces hallucination", "name_zh": "VIDRAFT globally unveils reasoning middleware 'MARL' that reduces hallucination", "group": "article"}, {"id": "a205", "name": "AI 비드래프트, 환각 줄이는 추론 미들웨어 MARL 전 세계 동시 공개", "name_en": "AI VIDRAFT globally unveils reasoning middleware MARL that reduces hallucination", "name_zh": "AI VIDRAFT globally unveils reasoning middleware MARL that reduces hallucination", "group": "article"}, {"id": "a206", "name": "웨어큐브-비드래프트, 전략적 업무협약 및 공동연구개발 계약", "name_en": "WareCube and VIDRAFT sign strategic business agreement and joint R&D contract", "name_zh": "WareCube and VIDRAFT sign strategic business agreement and joint R&D contract", "group": "article"}, {"id": "a207", "name": "웨어큐브, AI 비드래프트와 전략적 업무 협약 및 공동연구개발 계약", "name_en": "WareCube signs strategic business agreement and joint R&D contract with AI firm VIDRAFT", "name_zh": "WareCube signs strategic business agreement and joint R&D contract with AI firm VIDRAFT", "group": "article"}, {"id": "a208", "name": "AI가 \"모르겠습니다\"라고 말할 수 있게 된 날", "name_en": "The day AI could say \"I don't know\"", "name_zh": "The day AI could say \"I don't know\"", "group": "article"}, {"id": "a209", "name": "Artificial Society(인공 사회)를 만들다", "name_en": "Creating an Artificial Society", "name_zh": "Creating an Artificial Society", "group": "article"}, {"id": "a210", "name": "비드래프트, AI 메타인지 벤치마크 'FINAL Bench' 공개", "name_en": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'", "name_zh": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'", "group": "article"}, {"id": "a211", "name": "비드래프트, AI 메타인지 평가 벤치마크 ‘FINAL Bench’ 공개", "name_en": "VIDRAFT unveils AI metacognition evaluation benchmark 'FINAL Bench'", "name_zh": "VIDRAFT unveils AI metacognition evaluation benchmark 'FINAL Bench'", "group": "article"}, {"id": "m:Asia Economy", "name": "아시아경제", "name_en": "Asia Economy", "name_zh": "Asia Economy", "group": "media"}, {"id": "a212", "name": "비드래프트, AI 메타인지 벤치마크 ‘FINAL Bench’ 공개", "name_en": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'", "name_zh": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'", "group": "article"}, {"id": "a213", "name": "비드래프트 “GPT·제미나이·클로드, 자기 실수 못 고친다”", "name_en": "VIDRAFT: \"GPT, Gemini, Claude can't fix their own mistakes\"", "name_zh": "VIDRAFT: \"GPT, Gemini, Claude can't fix their own mistakes\"", "group": "article"}, {"id": "a214", "name": "비드래프트, AI 메타인지 벤치마크 'FINAL Bench' 공개··· \"AI 자기 실수 못 고친다\"", "name_en": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'... \"AI can't fix its own mistakes", "name_zh": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'... \"AI can't fix its own mistakes", "group": "article"}, {"id": "a215", "name": "이스라엘 AI매체 ANVI, FINAL-Bench 심층분석 — “AI는 자기 오류를 고칠 수 있는가”(AGI 자기교정 병목)", "name_en": "Israeli AI outlet ANVI in-depth analysis of FINAL-Bench — \"Can AI correct its own errors?\"", "name_zh": "Israeli AI outlet ANVI in-depth analysis of FINAL-Bench — \"Can AI correct its own errors?\"", "group": "article"}, {"id": "m:ANVI (Israel)", "name": "ANVI (이스라엘)", "name_en": "ANVI (Israel)", "name_zh": "ANVI (Israel)", "group": "media"}, {"id": "a216", "name": "VIDRAFT, Developing Accessible Platforms and Services for “True AGI” [Seoul AI Hub 2026]", "name_en": "VIDRAFT, Developing Accessible Platforms and Services for \"True AGI\" [Seoul AI Hub 2026]", "name_zh": "VIDRAFT, Developing Accessible Platforms and Services for \"True AGI\" [Seoul AI Hub 2026]", "group": "article"}, {"id": "a217", "name": "비드래프트, ‘트루 AGI’ 달성 위한 플랫폼·서비스 구현 [서울AI허브 2026]", "name_en": "VIDRAFT implements platforms and 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"e:GPQA", "rel": "500B↓ 1위", "rel_en": "1st (<500B)", "rel_zh": "500B以下第一"}, {"source": "e:ZTC", "target": "e:S1MB", "rel": "종합 1위", "rel_en": "#1 overall", "rel_zh": "综合第一"}, {"source": "e:ZTC", "target": "e:typed-decisions", "rel": "1위", "rel_en": "#1", "rel_zh": "第一"}, {"source": "e:Darwin", "target": "e:ExtractBench", "rel": "1위", "rel_en": "#1", "rel_zh": "第一"}, {"source": "e:Darwin", "target": "e:Polaris", "rel": "세계 1위(16부문)", "rel_en": "world #1 (16)", "rel_zh": "世界第一(16项)"}, {"source": "e:ZTC", "target": "e:Metacognition", "rel": "1위", "rel_en": "#1", "rel_zh": "第一"}, {"source": "e:JEV", "target": "e:S1MB", "rel": "2~5위", "rel_en": "#2-5", "rel_zh": "第2-5"}, {"source": "e:TypeSafe AI", "target": "e:JEV", "rel": "개발", "rel_en": "develops", "rel_zh": "开发"}, {"source": "e:Darwin", "target": "e:ZTC", "rel": "판정엔진", "rel_en": "judge engine", "rel_zh": "判定引擎"}, {"source": "e:Darwin", "target": "t:rsi", "rel": "자가개선", "rel_en": "self-improve", "rel_zh": "自我改进"}]};
// ===== 다국어 =====
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ko:{title:"ONGRID",sub:"<b>온톨로지 · 그래프 · 디시전(ZTC)</b> 통합 지식엔진. 문서를 3D 온톨로지 그래프로 구성하고, 질의하면 그래프 근거로 LLM이 답하며 <b>ZTC가 0토큰으로 검증</b>합니다.<br>데이터: vidraft.net 보도 227건 · by VIDRAFT",
upload:"📁 내 문서 업로드 · 자동 그래프화",demo:"↺ 샘플(보도자료)로 돌아가기",askph:"질의 프롬프트 (예: S1MB 1위 모델?)",askb:"질의",
exlabel:"예시 질의 (클릭)",searchph:"노드 검색…",busy:"분석·인덱싱 중…",thinking:"기사 근거로 LLM 답변 생성 중…",
noconn:"LLM 서버에 연결할 수 없습니다.",evid:"근거 · 그래프 사실",nofact:"관련 사실을 찾지 못했습니다.",
sN:"노드",sL:"관계",sD:"문서",sT:"색인어",conn:"연결",
hint:"드래그 회전 · 휠 확대 · 노드 클릭 = 상세 · 범례 = 그룹 숨김<br>질의하면 그래프에서 관련 기사·사실을 찾아 그 근거로만 LLM이 답합니다. 내 문서를 올리면 그 문서로 그래프가 바뀝니다.",
ex:["S1MB에서 1위한 모델은?","Darwin의 수상 실적은?","AX-RAY는 무엇인가?","보안 관련 소식은?","자가개선(RSI)이란?","POCKET은 무엇인가?"]},
en:{title:"ONGRID",sub:"<b>Ontology · Graph · Decision(ZTC)</b> engine. Documents become a 3D ontology graph; questions are answered from graph facts and <b>verified by ZTC in zero tokens</b>.<br>Data: 227 press items · by VIDRAFT",
upload:"📁 Upload my docs · auto graph",demo:"↺ Back to sample (press)",askph:"Ask (e.g. which model tops S1MB?)",askb:"Ask",
exlabel:"Example queries (click)",searchph:"Search nodes…",busy:"Analyzing & indexing…",thinking:"LLM answering from article facts…",
noconn:"Cannot reach the LLM server.",evid:"Evidence · graph facts",nofact:"No related facts found.",
sN:"Nodes",sL:"Links",sD:"Docs",sT:"Terms",conn:"Links",
hint:"Drag to rotate · wheel to zoom · click a node for detail · legend toggles a group<br>Queries retrieve related articles/facts and the LLM answers only from them. Upload your docs to rebuild the graph.",
ex:["Which model tops S1MB?","What awards did Darwin win?","What is AX-RAY?","Security-related news?","What is RSI?","What is POCKET?"]},
zh:{title:"ONGRID",sub:"<b>本体 · 图谱 · 决策(ZTC)</b> 引擎。文档构建为3D本体图谱,基于图谱事实作答并<b>由ZTC零token验证</b>。<br>数据:报道227条 · by VIDRAFT",
upload:"📁 上传我的文档 · 自动图谱",demo:"↺ 返回示例(报道)",askph:"提问(例:哪个模型在S1MB第一?)",askb:"提问",
exlabel:"示例问题(点击)",searchph:"搜索节点…",busy:"分析与索引中…",thinking:"LLM 正根据文章事实作答…",
noconn:"无法连接LLM服务器。",evid:"依据 · 图谱事实",nofact:"未找到相关事实。",
sN:"节点",sL:"关系",sD:"文档",sT:"索引词",conn:"连接",
hint:"拖动旋转 · 滚轮缩放 · 点击节点看详情 · 图例切换分组<br>提问时检索相关文章/事实,LLM 仅据此作答。上传文档可重建图谱。",
ex:["哪个模型在S1MB排第一?","Darwin获得了什么奖?","AX-RAY是什么?","安全相关新闻?","RSI是什么?","POCKET是什么?"]}
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function vis(l){const s=byId[idStr(l.source)],t=byId[idStr(l.target)];if(!s||!t)return false;return !dimmed(s)&&!dimmed(t);}
function refresh(){if(G)G.nodeColor(ncolor).linkColor(lcolor).linkWidth(lwidth).linkDirectionalParticles(lpart);}
function lcolor(l){if(!vis(l))return "rgba(120,130,150,.02)";const s=byId[idStr(l.source)];return (s?gcol(s.group):"#8aaacc")+"66";}
function lwidth(l){return vis(l)?0.5:0;}
function lpart(l){return vis(l)?2:0;}
// 그룹별 중심으로 당겨 색깔 클러스터를 형성
function clusterForce(strength){let ns;
function f(alpha){const c={},cnt={};
ns.forEach(n=>{const g=n.group;(c[g]=c[g]||{x:0,y:0,z:0});c[g].x+=n.x||0;c[g].y+=n.y||0;c[g].z+=n.z||0;cnt[g]=(cnt[g]||0)+1;});
for(const g in c){c[g].x/=cnt[g];c[g].y/=cnt[g];c[g].z/=cnt[g];}
const k=strength*alpha;
ns.forEach(n=>{const q=c[n.group];if(!q)return;n.vx=(n.vx||0)+(q.x-(n.x||0))*k;n.vy=(n.vy||0)+(q.y-(n.y||0))*k;n.vz=(n.vz||0)+(q.z-(n.z||0))*k;});}
f.initialize=n=>{ns=n;};return f;}
function render(data){
CUR=data;focusSet=null;setGroups(data.groups);
nodes=data.nodes.map(n=>({...n,_all:[n.name,n.name_en,n.name_zh].filter(Boolean).map(s=>s.toLowerCase()),name:nm(n)}));
links=data.links.map(l=>({source:l.source,target:l.target,rel:rl(l)||"RelatedTo"}));
byId=Object.fromEntries(nodes.map(n=>[n.id,n]));
links=links.filter(l=>byId[idStr(l.source)]&&byId[idStr(l.target)]);
const deg={};links.forEach(l=>{deg[l.source]=(deg[l.source]||0)+1;deg[l.target]=(deg[l.target]||0)+1;});
nodes.forEach(n=>n.val=Math.min(4.2,0.6+Math.sqrt(deg[n.id]||0)*0.6));
document.getElementById("s-n").textContent=nodes.length;
document.getElementById("s-l").textContent=links.length;
document.getElementById("s-d").textContent=ENGINE.docs||1;
document.getElementById("s-t").textContent=Object.keys(ENGINE.idf).length||"—";
hidden.clear();buildLegend();
const elG=document.getElementById("graph");
if(!G){
const t=document.createElement("canvas");const gl=t.getContext("webgl2")||t.getContext("webgl");
if(!gl){const b=document.getElementById("busy");b.hidden=false;
b.innerHTML="<div style='max-width:420px;text-align:center;line-height:1.7;padding:20px'>이 브라우저에서 WebGL(3D)을 쓸 수 없습니다.<br>열린 탭을 줄이거나 브라우저를 새로 켠 뒤 새로고침해 주세요.</div>";return;}
try{
G=ForceGraph3D()(elG).backgroundColor("rgba(0,0,0,0)")
.nodeId("id").nodeVal("val").nodeRelSize(2.2).nodeResolution(10).nodeOpacity(.95)
.nodeColor(ncolor)
.nodeLabel(n=>"<div style='font:700 11px Inter,sans-serif;color:#fff;background:rgba(6,10,24,.92);padding:3px 8px;border-radius:7px;border:1px solid "+gcol(n.group)+";max-width:260px'>"+esc(n.name)+"</div>")
.linkCurvature(0.28)
.linkColor(lcolor).linkWidth(lwidth).linkOpacity(.45)
.linkDirectionalParticles(lpart).linkDirectionalParticleWidth(2.3)
.linkDirectionalParticleSpeed(()=>.004+Math.random()*.004)
.linkDirectionalParticleColor(l=>{const s=byId[idStr(l.source)];return s?gcol(s.group):"#9ad";})
.linkLabel(l=>l.rel)
.onNodeClick(focusNode).onBackgroundClick(()=>{closePanel();if(focusSet){focusSet=null;refresh();}})
.cooldownTicks(160);
G.d3Force("charge").strength(nodes.length>120?-60:-80);
G.d3Force("link").distance(nodes.length>120?34:40);
G.d3Force("cluster",clusterForce(0.22)); // 그룹별 뭉침(클러스터)
try{if(window.UnrealBloomPass&&window.THREE){
const bloom=new window.UnrealBloomPass(new window.THREE.Vector2(innerWidth,innerHeight),1.5,0.9,0.1);
window.__bloom=bloom;G.postProcessingComposer().addPass(bloom);}
}catch(be){console.warn("bloom off",be);}
}catch(e){const b=document.getElementById("busy");b.hidden=false;
b.innerHTML="<div style='max-width:420px;text-align:center;line-height:1.7;padding:20px'>3D 렌더링을 시작할 수 없습니다 ("+((e&&e.message)||e)+").<br>탭을 줄이거나 브라우저를 새로 켠 뒤 새로고침해 주세요.</div>";G=null;return;}
}
G.graphData({nodes,links});
G.cameraPosition({z:nodes.length>120?900:440});
sizeAll();
reveal();
}
function buildLegend(){const el=document.getElementById("legend");el.innerHTML="";
Object.entries(GROUPS).forEach(([k,v])=>{const c=document.createElement("div");c.className="chip";
c.innerHTML="<span class='dot' style='color:"+v.color+";background:"+v.color+"'></span>"+esc(v.label);
c.onclick=()=>{c.classList.toggle("off");hidden.has(k)?hidden.delete(k):hidden.add(k);refresh();};
el.appendChild(c);});}
const info=document.getElementById("info");
function focusNode(n){const d=Math.hypot(n.x||1,n.y||1,n.z||1),r=1+120/d;
G.cameraPosition({x:(n.x||0)*r,y:(n.y||0)*r,z:(n.z||0)*r+45},n,900);
const conn=links.filter(l=>idStr(l.source)===n.id||idStr(l.target)===n.id)
.map(l=>({node:byId[idStr(l.source)===n.id?idStr(l.target):idStr(l.source)],rel:l.rel,out:idStr(l.source)===n.id})).filter(c=>c.node);
const g=GROUPS[n.group]||{label:"기타",color:"#88a"};
const tag=document.getElementById("i-tag");tag.textContent=g.label;tag.style.background=g.color+"22";tag.style.color=g.color;
document.getElementById("i-name").textContent=n.name;
document.getElementById("i-desc").textContent=n.desc||"(연결 관계로 정의되는 개념)";
document.getElementById("i-count").textContent=conn.length;
const ul=document.getElementById("i-links");ul.innerHTML="";
conn.slice(0,50).forEach(c=>{const li=document.createElement("li");
li.innerHTML="<span style='flex:none;width:8px;height:8px;border-radius:50%;background:"+gcol(c.node.group)+";box-shadow:0 0 8px "+gcol(c.node.group)+"'></span>"+esc(c.node.name)+" <span class='e'>"+(c.out?"":"← ")+esc(c.rel)+(c.out?" →":"")+"</span>";
li.onclick=()=>focusNode(c.node);ul.appendChild(li);});
info.classList.add("open");
}
function closePanel(){info.classList.remove("open");}
document.getElementById("close").onclick=closePanel;
document.getElementById("q").addEventListener("input",e=>{const v=e.target.value.trim().toLowerCase();if(!v)return;
const hit=nodes.find(n=>n.name.toLowerCase().includes(v));if(hit)focusNode(hit);});
// ===== 생성 연출: 플래시 + 카메라 플라이인 + 카운트업 (three 불필요) =====
function countUp(id,to){const el=document.getElementById(id);const t0=performance.now();
(function st(){const k=Math.min(1,(performance.now()-t0)/1200);el.textContent=Math.round(to*(1-Math.pow(1-k,3)));if(k<1)requestAnimationFrame(st);})();}
function fitDist(){const rs=[];for(const n of nodes)rs.push(Math.hypot(n.x||0,n.y||0,n.z||0));rs.sort((a,b)=>a-b);
const r85=rs[Math.floor(rs.length*0.85)]||120;return Math.max(150,r85*2.0);}
function flyTo(z,dur){if(!G)return;const p0=G.cameraPosition();const c0=Math.hypot(p0.x,p0.y,p0.z)||1;
const ux=p0.x/c0,uy=p0.y/c0,uz=p0.z/c0;const t0=performance.now();
(function f(){if(window.__userCam||!G)return;const k=Math.min(1,(performance.now()-t0)/dur);const e=1-Math.pow(1-k,3);
const z2=c0+(z-c0)*e;G.cameraPosition({x:ux*z2,y:uy*z2,z:uz*z2});if(k<1)requestAnimationFrame(f);})();}
function reveal(){
if(!G||!nodes.length)return;
window.__userCam=false;
const fl=document.getElementById("flash");fl.style.transition="none";fl.style.opacity="0.92";
requestAnimationFrame(()=>{fl.style.transition="opacity 1.2s ease";fl.style.opacity="0";});
G.cameraPosition({x:0,y:0,z:1500});
setTimeout(()=>flyTo(fitDist(),1500),1600);
setTimeout(()=>flyTo(fitDist(),1100),4200);
countUp("s-n",nodes.length);countUp("s-l",links.length);
}
// ===== 업로드 → 자동 온톨로지 =====
document.getElementById("upload").onclick=()=>document.getElementById("file").click();
document.getElementById("demo").onclick=()=>{ENGINE={docs:0,idf:{},tf:{},sents:[]};render(DEMO);showExamples(true);document.getElementById("demo").hidden=true;document.getElementById("answer").hidden=true;};
document.getElementById("file").onchange=async e=>{
const fs=[...e.target.files];if(!fs.length)return;
document.getElementById("busy").hidden=false;await new Promise(r=>setTimeout(r,30));
try{
const docs=[];
for(const f of fs){let t=await f.text();if(/\.json$/i.test(f.name)){try{t=JSON.stringify(JSON.parse(t));}catch(_){}}docs.push({name:f.name,text:t});}
render(buildOntology(docs));showExamples(false);document.getElementById("demo").hidden=false;
}catch(err){alert("분석 실패: "+err.message);}
document.getElementById("busy").hidden=true;
};
const STOP=new Set("the a an and or but for nor so yet of to in on at by is are was were be been being as it its this that these those with from into over under then than there their them they you your we our us he she his her not no can could will would shall should may might must do does did has have had which who whom whose what when where why how all any both each few more most other some such only own same too very just about above after again against because before below between during further here once".split(/\s+/));
function sentences(t){return t.replace(/\s+/g," ").split(/(?<=[.!?。!?\n])\s+|[\n·•]+/).map(s=>s.trim()).filter(s=>s.length>2&&s.length<400);}
function toks(s){return (s.toLowerCase().match(/[a-z0-9]+|[가-힣]{2,}/g)||[]).filter(w=>w.length>2&&!STOP.has(w));}
function buildOntology(docs){
const freq={},bg={},wiki=new Set();const allSents=[];
docs.forEach((d,di)=>{
(d.text.match(/\[\[([^\]]+)\]\]/g)||[]).forEach(m=>wiki.add(m.slice(2,-2).trim().toLowerCase()));
sentences(d.text).forEach(s=>{const tk=toks(s);allSents.push({doc:di,text:s,tk});
tk.forEach((w,i)=>{freq[w]=(freq[w]||0)+1;if(i<tk.length-1){const b=w+" "+tk[i+1];bg[b]=(bg[b]||0)+1;}});});
});
ENGINE.docs=docs.length;ENGINE.sents=allSents;
const ents=new Set([...wiki].filter(w=>w));
Object.entries(freq).filter(([w,c])=>c>=2).sort((a,b)=>b[1]-a[1]).slice(0,200).forEach(([w])=>ents.add(w));
Object.entries(bg).filter(([w,c])=>c>=2).sort((a,b)=>b[1]-a[1]).slice(0,80).forEach(([w])=>ents.add(w));
const E=[...ents];const Eset=new Set(E);
const edges={},rels={};const nodeSents={},nodeTF={};const co={};
const addE=(a,b,r)=>{if(a===b||!Eset.has(a)||!Eset.has(b))return;const k=a+"\u0001"+b;if(!edges[k]){edges[k]={source:a,target:b,rel:r};rels[r]=(rels[r]||0)+1;}};
const P=[[/(.+?)\s+(?:is|are|was|were)\s+(?:a|an|the)?\s*(.+)/,"IsA"],
[/(.+?)\s+(?:has|have|contains?|includes?)\s+(.+)/,"HasA"],
[/(.+?)\s+(?:use[sd]?|used for|used to)\s+(.+)/,"UsedFor"],
[/(.+?)\s+(?:can|could|able to)\s+(.+)/,"CapableOf"],
[/(.+?)\s+(?:part of|belongs? to|of)\s+(.+)/,"PartOf"],
[/(.+?)(?:는|은|이|가)\s*(.+?)(?:이다|다|이라|입니다|이에요|예요)/,"IsA"]];
allSents.forEach(S=>{
const present=E.filter(e=>S.text.toLowerCase().includes(e));
present.forEach(e=>{(nodeSents[e]=nodeSents[e]||[]).push(S.text);const m=nodeTF[e]=nodeTF[e]||{};S.tk.forEach(w=>m[w]=(m[w]||0)+1);});
for(const [re,r] of P){const mm=S.text.toLowerCase().match(re);
if(mm){const h=present.find(e=>mm[1].includes(e)),t=present.find(e=>e!==h&&mm[2].includes(e));if(h&&t)addE(h,t,r);}}
const p6=present.slice().sort((a,b)=>(freq[b]||0)-(freq[a]||0)).slice(0,6);
for(let i=0;i<p6.length;i++)for(let j=i+1;j<p6.length;j++){const k=p6[i]<p6[j]?p6[i]+"\u0001"+p6[j]:p6[j]+"\u0001"+p6[i];co[k]=(co[k]||0)+1;}
});
const coTh=docs.length>1?2:1;
Object.entries(co).sort((a,b)=>b[1]-a[1]).forEach(([k,c])=>{if(c>=coTh){const [a,b]=k.split("\u0001");addE(a,b,"RelatedTo");}});
let L=Object.values(edges);
const deg={};L.forEach(l=>{deg[l.source]=(deg[l.source]||0)+1;deg[l.target]=(deg[l.target]||0)+1;});
let keep=new Set(E.filter(e=>deg[e]>0));
if(keep.size>220)keep=new Set([...keep].sort((a,b)=>(deg[b]||0)-(deg[a]||0)).slice(0,220));
L=L.filter(l=>keep.has(l.source)&&keep.has(l.target)).slice(0,600);
const used=new Set();L.forEach(l=>{used.add(l.source);used.add(l.target);});
const df={};allSents.forEach(S=>{new Set(S.tk).forEach(w=>df[w]=(df[w]||0)+1);});
const N=allSents.length||1;ENGINE.idf={};Object.keys(df).forEach(w=>ENGINE.idf[w]=Math.log(1+N/df[w]));ENGINE.tf=nodeTF;
const relByNode={};L.forEach(l=>{(relByNode[l.target]=relByNode[l.target]||{})[l.rel]=((relByNode[l.target]||{})[l.rel]||0)+1;(relByNode[l.source]=relByNode[l.source]||{})[l.rel]=((relByNode[l.source]||{})[l.rel]||0)+1;});
const topRels=Object.entries(rels).sort((a,b)=>b[1]-a[1]).slice(0,6).map(x=>x[0]);
const RELKO={IsA:"종류(IsA)",UsedFor:"쓰임(UsedFor)",HasA:"보유(HasA)",CapableOf:"능력(CapableOf)",PartOf:"부분(PartOf)",RelatedTo:"연관(RelatedTo)"};
const groups={};topRels.forEach(r=>groups[r]=RELKO[r]||r);
const grp=id=>{const rc=relByNode[id]||{};for(const r of Object.keys(rc).sort((a,b)=>rc[b]-rc[a]))if(groups[r])return r;return topRels[0]||"RelatedTo";};
const nodesO=[...used].map(id=>({id,name:id,group:grp(id),desc:(nodeSents[id]||[])[0]||""}));
return {groups,nodes:nodesO,links:L};
}
// ===== 질의: 그래프에서 관련 사실 검색 → LLM이 근거 기반 답변 (GraphRAG) =====
document.getElementById("askb").onclick=runAsk;
document.getElementById("ask").addEventListener("keydown",e=>{if(e.key==="Enter")runAsk();});
function populateExamples(){const el=document.getElementById("examples");el.innerHTML="";
(L("ex")||[]).forEach(q=>{const b=document.createElement("button");b.className="exq";b.type="button";b.textContent=q;
b.onclick=()=>{document.getElementById("ask").value=q;runAsk();};el.appendChild(b);});}
function showExamples(on){document.getElementById("examples").hidden=!on;document.getElementById("exlabel").hidden=!on;}
// ===== 언어 적용 =====
function applyLang(lang){
LANG=lang;
document.documentElement.lang=lang;
document.getElementById("t-title").innerHTML=L("title");
document.getElementById("t-sub").innerHTML=L("sub");
document.getElementById("upload").textContent=L("upload");
document.getElementById("demo").textContent=L("demo");
document.getElementById("ask").placeholder=L("askph");
document.getElementById("askb").textContent=L("askb");
document.getElementById("exlabel").textContent=L("exlabel");
document.getElementById("q").placeholder=L("searchph");
document.getElementById("t-hint").innerHTML=L("hint");
document.getElementById("sl-n").textContent=L("sN");document.getElementById("sl-l").textContent=L("sL");
document.getElementById("sl-d").textContent=L("sD");document.getElementById("sl-t").textContent=L("sT");
[...document.querySelectorAll(".langbtn")].forEach(b=>b.classList.toggle("on",b.dataset.lang===lang));
populateExamples();
if(CUR)render(CUR); // 현재 데이터(샘플/업로드)를 새 언어로 재구성
}
[...document.querySelectorAll(".langbtn")].forEach(b=>b.onclick=()=>applyLang(b.dataset.lang));
const GENERIC=new Set(["this","that","something","someone","somebody","anything","everything","thing","it","one","people"]);
function contentToks(q){return (q.toLowerCase().match(/[a-z0-9]{2,}|[가-힣]{2,}|[一-鿿]{2,}/g)||[]).filter(w=>!STOP.has(w));}
function retrieve(q){
const qt=contentToks(q);
const nmById=id=>{const x=byId[id];return x?x.name:id;};
// 1) 질의어 ↔ 노드의 모든 언어 이름 매칭 (정확>단어>부분)
const sc=[];
nodes.forEach(n=>{let s=0;n._all.forEach(a=>{const words=a.split(/\s+/);
qt.forEach(t=>{if(a===t)s+=12;else if(words.includes(t))s+=7;
else if(a.length>=2&&t.includes(a))s+=6; // 토큰이 노드명 포함 (한국어 조사 등: "양자관련"→"양자")
else if(t.length>=3&&a.includes(t))s+=2;});});
if(s>0&&!GENERIC.has(n.name.toLowerCase()))sc.push([n.id,s]);});
sc.sort((a,b)=>b[1]-a[1]);
const strong=sc.filter(x=>x[1]>=7);
const focusIds=(strong.length?strong:sc).slice(0,3).map(x=>x[0]);
const focusId=focusIds[0]||null;
const fset=new Set(focusIds);
let factEdges=links.filter(l=>fset.has(idStr(l.source))||fset.has(idStr(l.target)));
factEdges.sort((a,b)=>(fset.has(idStr(b.source))?1:0)-(fset.has(idStr(a.source))?1:0));
factEdges=factEdges.slice(0,32);
const facts=factEdges.map(l=>nmById(idStr(l.source))+" — "+l.rel+" → "+nmById(idStr(l.target)));
return {facts,focusId,factEdges};
}
async function runAsk(){
const q=document.getElementById("ask").value.trim();if(!q)return;
const ans=document.getElementById("answer");
const {facts,focusId,factEdges}=retrieve(q);
// 그래프 포커싱
if(focusId){const fn=byId[focusId];
focusSet=new Set([focusId,...factEdges.flatMap(l=>[idStr(l.source),idStr(l.target)])]);refresh();
if(fn&&fn.x!==undefined)focusNode(fn);}
ans.hidden=false;ans.innerHTML="<div class='q'>"+esc(q)+"</div><span style='color:var(--muted)'>"+L("thinking")+"</span>";
let answer="";
try{
const r=await fetch("ask",{method:"POST",headers:{"content-type":"application/json"},body:JSON.stringify({query:q,facts,lang:LANG})});
if(r.ok){const d=await r.json();answer=d.answer||"…";}
else answer="(LLM "+r.status+")";
}catch(e){answer=L("noconn");}
let html="<div class='q'>"+esc(q)+"</div>";
html+="<div style='white-space:pre-wrap'>"+esc(answer)+"</div>";
if(facts.length){html+="<div class='rel'>"+L("evid")+" "+facts.length+"</div>"+facts.slice(0,8).map(f=>"<div class='ev'>"+esc(f)+"</div>").join("");}
else html+="<div class='rel'>"+L("evid")+"</div><span style='color:var(--muted)'>"+L("nofact")+"</span>";
html+="<div class='rel'>ZTC 판정</div><span id='ztcbadge' style='color:var(--muted)'>ZTC-Judge 검증 중…</span>";
ans.innerHTML=html;
// ZTC-Judge(ZeroGPU)로 답변 신뢰도 판정 — 비동기, 실패해도 답변엔 영향 없음
if(answer&&!/^\(/.test(answer)){fetch("verify",{method:"POST",headers:{"content-type":"application/json"},body:JSON.stringify({query:q,answer})})
.then(r=>r.json()).then(d=>{const el=document.getElementById("ztcbadge");if(!el)return;
if(d&&d.ok&&d.ztc){const z=d.ztc;const col=z.verdict&&z.verdict.indexOf("이상")>=0?"#34f5c5":(z.verdict&&z.verdict.indexOf("검토")>=0?"#ff5d8f":"#ffb020");
el.innerHTML="<b style='color:"+col+"'>"+esc(z.verdict||"")+"</b> <span style='color:var(--muted)'>· score "+(z.score)+" · zero-token</span>";}
else{el.textContent="(ZTC 서버 준비 중 — 잠시 후 다시 시도)";}})
.catch(()=>{const el=document.getElementById("ztcbadge");if(el)el.textContent="(ZTC 미연결)";});}
}
// ===== starfield + resize =====
const sc2=document.getElementById("stars"),sx=sc2.getContext("2d");let stars=[];
function sizeAll(){const w=innerWidth,h=innerHeight,dpr=Math.min(devicePixelRatio||1,2);
sc2.width=w*dpr;sc2.height=h*dpr;sc2.style.width=w+"px";sc2.style.height=h+"px";sx.setTransform(dpr,0,0,dpr,0,0);
stars=Array.from({length:Math.round(w*h/4300)},()=>({x:Math.random()*w,y:Math.random()*h,r:Math.random()*1.3+.2,a:Math.random()*.6+.2,t:Math.random()*6}));
if(G){const e=document.getElementById("graph");G.width(e.clientWidth).height(e.clientHeight);}
if(window.__bloom)try{window.__bloom.setSize(innerWidth,innerHeight);}catch(_){}}
function drawStars(ts){const w=innerWidth,h=innerHeight;sx.clearRect(0,0,w,h);
for(const s of stars){const tw=s.a*(.6+.4*Math.sin(ts/700+s.t));sx.beginPath();sx.arc(s.x,s.y,s.r,0,6.283);sx.fillStyle="rgba(200,220,255,"+tw+")";sx.fill();}
requestAnimationFrame(drawStars);}
addEventListener("resize",sizeAll);requestAnimationFrame(drawStars);
document.getElementById("graph").addEventListener("pointerdown",()=>{window.__userCam=true;},true);
applyLang(LANG);
render(DEMO);
</script>
</body>
</html>