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204 kB
| <html lang="ko"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1, viewport-fit=cover"> | |
| <title>ONGRID ยท Ontology Graph Decision Engine</title> | |
| <meta name="description" content="ONGRID โ Ontology ยท Graph ยท Decision(ZTC) ํตํฉ ์ง์์์ง. ๋ฌธ์๋ฅผ 3D ์จํจ๋ก์ง ๊ทธ๋ํ๋ก ๊ตฌ์ฑํ๊ณ , ์ง์ํ๋ฉด ๊ทธ๋ํ ๊ทผ๊ฑฐ๋ก LLM์ด ๋ตํ๋ฉฐ ZTC๊ฐ 0ํ ํฐ์ผ๋ก ๊ฒ์ฆํ๋ค. by VIDRAFT"> | |
| <style> | |
| :root{ | |
| --bg:#05060d; --fg:#eaf1ff; --muted:#8aa0c8; | |
| --panel:rgba(14,20,38,.76); --panel-br:rgba(120,160,255,.26); --accent:#4ea8ff; --ok:#34f5c5; | |
| --g-a:#38bdf8; --g-b:#34f5c5; --g-c:#ff5d8f; --g-d:#ffb020; --g-e:#b57bff; --g-f:#ffe24a; | |
| } | |
| *{box-sizing:border-box} | |
| html,body{height:100%;margin:0} | |
| body{color:var(--fg);overflow:hidden;font-family:"Inter","Segoe UI",system-ui,-apple-system,sans-serif; | |
| background: | |
| radial-gradient(1100px 760px at 72% 18%, rgba(60,90,220,.20), transparent 60%), | |
| radial-gradient(900px 680px at 20% 82%, rgba(190,50,140,.16), transparent 60%), | |
| radial-gradient(1400px 1000px at 50% 50%, #0a0f22 0%, #05060d 70%);} | |
| [hidden]{display:none} | |
| #stars{position:fixed;inset:0;z-index:0} | |
| #graph{position:fixed;inset:0;z-index:1} | |
| #flash{position:fixed;inset:0;z-index:3;pointer-events:none;opacity:0; | |
| background:radial-gradient(circle at 50% 50%, rgba(150,210,255,.95), rgba(130,120,255,.3) 38%, transparent 70%)} | |
| h1{font-size:15px;margin:0 0 2px;font-weight:800;letter-spacing:.3px} | |
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| .rail{position:fixed;top:0;left:0;margin:14px;padding:14px;padding-top:calc(14px + env(safe-area-inset-top,0px)); | |
| width:340px;max-width:calc(100vw - 28px);background:var(--panel);border:1px solid var(--panel-br);border-radius:16px; | |
| backdrop-filter:blur(16px);-webkit-backdrop-filter:blur(16px);z-index:5;box-shadow:0 10px 44px rgba(0,0,0,.5); | |
| max-height:calc(100vh - 28px);overflow:auto} | |
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| #examples{display:flex;flex-wrap:wrap;gap:5px;margin-bottom:10px} | |
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| .exq:hover{border-color:var(--accent);color:#eaf6ff} | |
| .answer{background:rgba(52,245,197,.06);border:1px solid rgba(52,245,197,.28);border-radius:11px;padding:11px;margin-bottom:10px;font-size:12px;line-height:1.55} | |
| .answer .q{color:var(--ok);font-weight:700;margin-bottom:5px} | |
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| .answer b.hit{color:#fff;cursor:pointer;text-decoration:underline dotted} | |
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| .legend{display:flex;flex-wrap:wrap;gap:6px;margin-top:9px} | |
| .chip{display:flex;align-items:center;gap:6px;font-size:10.5px;padding:3px 8px;border-radius:999px;background:rgba(255,255,255,.05);border:1px solid var(--panel-br);cursor:pointer;user-select:none} | |
| .chip.off{opacity:.3} | |
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| .hint{font-size:10px;color:var(--muted);margin-top:10px;line-height:1.5} | |
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| background:var(--panel);border:1px solid var(--panel-br);border-radius:16px;backdrop-filter:blur(16px);-webkit-backdrop-filter:blur(16px);z-index:5; | |
| box-shadow:0 10px 44px rgba(0,0,0,.5);transform:translateX(calc(100% + 30px));transition:transform .34s cubic-bezier(.22,1,.36,1);max-height:calc(100vh - 28px);overflow:auto} | |
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| .info li .e{color:var(--muted);font-size:10.5px;flex:none} | |
| .close{position:absolute;top:12px;right:12px;width:26px;height:26px;border-radius:8px;border:none;background:rgba(255,255,255,.07);color:var(--fg);cursor:pointer;font-size:15px;line-height:1} | |
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| } | |
| </style> | |
| </head> | |
| <body> | |
| <canvas id="stars"></canvas> | |
| <div id="graph"></div> | |
| <div id="flash"></div> | |
| <div id="busy" hidden>๋ถ์ยท์ธ๋ฑ์ฑ ์คโฆ</div> | |
| <div class="rail"> | |
| <div id="langsel"> | |
| <button class="langbtn" data-lang="ko">ํ๊ตญ์ด</button> | |
| <button class="langbtn" data-lang="en">English</button> | |
| <button class="langbtn" data-lang="zh">ไธญๆ</button> | |
| </div> | |
| <h1 id="t-title">ONGRID</h1> | |
| <p class="sub" id="t-sub"></p> | |
| <div id="links"> | |
| <a href="https://github.com/final-bench/ongrid" target="_blank" rel="noopener" title="GitHub repo (star us!)"><img src="https://img.shields.io/github/stars/final-bench/ongrid?style=social" alt="GitHub stars"></a> | |
| <a class="lk" href="https://github.com/final-bench/ongrid" target="_blank" rel="noopener" title="Source code">๐ป GitHub</a> | |
| <a class="lk" href="https://vidraft.net" target="_blank" rel="noopener" title="Company website">๐ vidraft.net</a> | |
| <a class="lk" href="https://huggingface.co/FINAL-Bench" target="_blank" rel="noopener" title="Hugging Face">๐ค HF</a> | |
| <a class="lk" href="https://x.com/VIDRAFT_ai" target="_blank" rel="noopener" title="X / Twitter">๐ @VIDRAFT_ai</a> | |
| <a class="lk" href="https://www.threads.com/@vidraft_lab" target="_blank" rel="noopener" title="Threads">๐งต @vidraft_lab</a> | |
| </div> | |
| <div class="stats"> | |
| <div class="stat"><b id="s-n">โ</b><span id="sl-n"></span></div> | |
| <div class="stat"><b id="s-l">โ</b><span id="sl-l"></span></div> | |
| <div class="stat"><b id="s-d">โ</b><span id="sl-d"></span></div> | |
| <div class="stat"><b id="s-t">โ</b><span id="sl-t"></span></div> | |
| </div> | |
| <button class="btn" id="upload"></button> | |
| <button class="btn alt" id="demo" hidden></button> | |
| <input id="file" type="file" accept=".md,.txt,.markdown,.json,.csv" multiple hidden> | |
| <div class="ask"> | |
| <input id="ask" autocomplete="off"> | |
| <button id="askb"></button> | |
| </div> | |
| <div class="exlabel" id="exlabel"></div> | |
| <div id="examples"></div> | |
| <div class="answer" id="answer" hidden></div> | |
| <input id="q" autocomplete="off"> | |
| <div class="legend" id="legend"></div> | |
| <p class="hint" id="t-hint"></p> | |
| </div> | |
| <aside class="info" id="info"> | |
| <button class="close" id="close">ร</button> | |
| <span class="tag" id="i-tag"></span> | |
| <h2 id="i-name"></h2> | |
| <div class="desc" id="i-desc"></div> | |
| <div class="rel">์ฐ๊ฒฐ (<span id="i-count">0</span>)</div> | |
| <ul id="i-links"></ul> | |
| </aside> | |
| <div class="brand"><b>VIDRAFT</b> ONGRID ยท OntologyยทGraphยทDecision ยท <a href="https://vidraft.net" target="_blank" rel="noopener">vidraft.net</a></div> | |
| <script src="3d-force-graph.min.js"></script> | |
| <script> | |
| if(typeof ForceGraph3D==="undefined"){const b=document.getElementById("busy");b.hidden=false;b.textContent="3D ์์ง ๋ก๋ ์คํจ โ ์๋ก๊ณ ์นจ ํด์ฃผ์ธ์";throw new Error("lib not loaded");} | |
| const PAL=["--g-a","--g-b","--g-c","--g-d","--g-e","--g-f"].map(v=>getComputedStyle(document.documentElement).getPropertyValue(v).trim()); | |
| let GROUPS={},hidden=new Set(),focusSet=null; | |
| let nodes=[],links=[],byId={},G=null,CUR=null; | |
| let ENGINE={docs:0,idf:{},tf:{},sents:[]}; | |
| const DEMO={"groups": {"article": {"ko": "๊ธฐ์ฌ", "en": "Article", "zh": "ๆฅ้"}, "media": {"ko": "๋งค์ฒด", "en": "Media", "zh": "ๅชไฝ"}, "topic": {"ko": "์ฃผ์ ", "en": "Topic", "zh": "ไธป้ข"}, "model": {"ko": "๋ชจ๋ธ", "en": "Model", "zh": "ๆจกๅ"}, "bench": {"ko": "๋ฒค์น๋งํฌ", "en": "Benchmark", "zh": "ๅบๅ"}, "org": {"ko": "์กฐ์ง", "en": "Org", "zh": "ๆบๆ"}}, "nodes": [{"id": "a0", "name": "๋น๋๋ํํธ, AI ๋ชจ๋ธ 25์ข ์ค 23์ข ์ ์ํ ํ๋ ํ์ธ (AX-RAY)", "name_en": "VIDRAFT finds risky agent behavior in 23 of 25 public AI models with AX-RAY", "name_zh": "VIDRAFT finds risky agent behavior in 23 of 25 public AI models with AX-RAY", "group": "article"}, {"id": "m:Newsbell", "name": "๋ด์ค๋ฒจ", "name_en": "Newsbell", "name_zh": "Newsbell", "group": "media"}, {"id": "t:security", "name": "๋ณด์", "name_en": "Security", "name_zh": "ๅฎๅ จ", "group": "topic"}, {"id": "e:AX-RAY", "name": "AX-RAY", "name_en": "AX-RAY", "name_zh": "AX-RAY", "group": "model"}, {"id": "a1", "name": "๋น๋๋ํํธ Darwin ZTC v2, System One Mosaic Benchmark(102๊ฐ ๋ชจ๋ธ) ์ข ํฉ 1์ โ ์คํ JEV ๊ณต์ํ ์ ์นจ", "name_en": "VIDRAFT Darwin ZTC v2 tops the System One Mosaic Benchmark (102 models), beating OpenJev-2", "name_zh": "VIDRAFT Darwin ZTC v2 tops the System One Mosaic Benchmark (102 models), beating OpenJev-2", "group": "article"}, {"id": "m:S1MB Leaderboard (Global)", "name": "S1MB ๋ฆฌ๋๋ณด๋ (๊ธ๋ก๋ฒ)", "name_en": "S1MB Leaderboard (Global)", "name_zh": "S1MB Leaderboard (Global)", "group": "media"}, {"id": "t:leaderboard", "name": "๋ฆฌ๋๋ณด๋", "name_en": "Leaderboard", "name_zh": "ๆ่กๆฆ", "group": "topic"}, {"id": "t:benchmark", "name": "๋ฒค์น๋งํฌ", "name_en": "Benchmark", "name_zh": "ๅบๅ", "group": "topic"}, {"id": "e:S1MB", "name": "S1MB", "name_en": "S1MB", "name_zh": "S1MB", "group": "bench"}, {"id": "e:Darwin", "name": "Darwin", "name_en": "Darwin", "name_zh": "Darwin", "group": "model"}, {"id": "e:ZTC", "name": "ZTC", "name_en": "ZTC", "name_zh": "ZTC", "group": "model"}, {"id": "e:JEV", "name": "JEV", "name_en": "JEV", "name_zh": "JEV", "group": "model"}, {"id": "a2", "name": "๋น๋๋ํํธ, '์ค๋งํธ๋ผ์ดํ์ํฌ 2026'์ ๊ธ๋ก๋ฒ ํฌ์๊ธฐ๊ด๊ณผ ํฌ์ยท๊ณต๊ธ ํ๋ ฅ ๋ ผ์", "name_en": "VIDRAFT discusses investment and supply partnerships with global investors at Smart Life W", "name_zh": "VIDRAFT discusses investment and supply partnerships with global investors at Smart Life W", "group": "article"}, {"id": "m:The Korea Economic Daily", "name": "ํ๊ตญ๊ฒฝ์ ", "name_en": "The Korea Economic Daily", "name_zh": "The Korea Economic Daily", "group": "media"}, {"id": "t:business", "name": "์ฌ์ ", "name_en": "Business", "name_zh": "ๅไธ", "group": "topic"}, {"id": "a3", "name": "๋น๋๋ํํธ, ์ค๋งํธ๋ผ์ดํ์ํฌ์ ๊ตญ๋ด์ธ ํฌ์ยท๊ณต๊ณตยท์ ํต ๊ธฐ๊ด๊ณผ ๋ฏธํ ", "name_en": "VIDRAFT meets global investment, public and distribution partners at Smart Life Week 2026", "name_zh": "VIDRAFT meets global investment, public and distribution partners at Smart Life Week 2026", "group": "article"}, {"id": "m:The Dong-A Ilbo", "name": "๋์์ผ๋ณด", "name_en": "The Dong-A Ilbo", "name_zh": "The Dong-A Ilbo", "group": "media"}, {"id": "a4", "name": "๊ธ๋ก๋ฒ ์์์ปดํจํ DB 'Entangled Future', ํ๊ตญ ์ํ๊ณ ๊ฐ์ด๋์ ๋น๋๋ํํธ QuantumOS ๋ฑ์ฌ", "name_en": "Global quantum database Entangled Future lists VIDRAFT's QuantumOS in its Korea guide", "name_zh": "Global quantum database Entangled Future lists VIDRAFT's QuantumOS in its Korea guide", "group": "article"}, {"id": "m:Entangled Future (Global)", "name": "Entangled Future (๊ธ๋ก๋ฒ)", "name_en": "Entangled Future (Global)", "name_zh": "Entangled Future (Global)", "group": "media"}, {"id": "t:quantum", "name": "์์", "name_en": "Quantum", "name_zh": "้ๅญ", "group": "topic"}, {"id": "a5", "name": "์ค๊ตญ AI ๋งค์ฒด ๋ง์ทจ์, 'POCKET-Darwin-180B, ๊ฒ์์ฉ ๋ ธํธ๋ถ์ ๊ตฌ๋' ์ฌ์ธต ๋ณด๋", "name_en": "China's Lingquan details POCKET-Darwin-180B running a 180B model on a gaming laptop", "name_zh": "China's Lingquan details POCKET-Darwin-180B running a 180B model on a gaming laptop", "group": "article"}, {"id": "m:Lingquan (China)", "name": "๋ง์ทจ์(์ค๊ตญ)", "name_en": "Lingquan (China)", "name_zh": "Lingquan (China)", "group": "media"}, {"id": "t:on-device", "name": "์จ๋๋ฐ์ด์ค", "name_en": "On-device", "name_zh": "็ซฏไพง", "group": "topic"}, {"id": "t:rsi", "name": "์๊ฐ๊ฐ์ (RSI)", "name_en": "RSI", "name_zh": "่ชๆๆน่ฟ", "group": "topic"}, {"id": "t:model", "name": "๋ชจ๋ธ", "name_en": "Model", "name_zh": "ๆจกๅ", "group": "topic"}, {"id": "e:POCKET", "name": "POCKET", "name_en": "POCKET", "name_zh": "POCKET", "group": "model"}, {"id": "a6", "name": "AI ์ธํ๋ผ ํ๋ซํผ SAVRN, FINAL-Bench์ OSC ์ด์ ๋ ๋ฐ์ดํฐ์ ๋ฑ์ฌ (์ 5.1k ๋ค์ด๋ก๋)", "name_en": "AI infrastructure platform SAVRN lists FINAL-Bench's OSC superconductor dataset (5.1k mont", "name_zh": "AI infrastructure platform SAVRN lists FINAL-Bench's OSC superconductor dataset (5.1k mont", "group": "article"}, {"id": "m:SAVRN (Global)", "name": "SAVRN (๊ธ๋ก๋ฒ)", "name_en": "SAVRN (Global)", "name_zh": "SAVRN (Global)", "group": "media"}, {"id": "t:materials", "name": "์์ฌ", "name_en": "Materials", "name_zh": "ๆๆ", "group": "topic"}, {"id": "t:dataset", "name": "๋ฐ์ดํฐ์ ", "name_en": "Dataset", "name_zh": "ๆฐๆฎ้", "group": "topic"}, {"id": "a7", "name": "Local AI Zone 10์ AI ๋ชจ๋ธ ์ ๋ฐ์ดํธ์ POCKET-Darwin-180B ์๋ก", "name_en": "POCKET-Darwin-180B featured in Local AI Zone's October AI model dispatch", "name_zh": "POCKET-Darwin-180B featured in Local AI Zone's October AI model dispatch", "group": "article"}, {"id": "m:Local AI Zone (Global)", "name": "Local AI Zone (๊ธ๋ก๋ฒ)", "name_en": "Local AI Zone (Global)", "name_zh": "Local AI Zone (Global)", "group": "media"}, {"id": "a8", "name": "\"180B ๋ชจ๋ธ, ๊ฐ์ธ์ฉ ๋ ธํธ๋ถ์ผ๋ก ๊ตฌ๋\"โฆ๋น๋๋ํํธ, ๊ณ ์ฑ๋ฅ ๋ชจ๋ธ ๊ฒฝ๋ํ ์ ๋ต ์ด์ด๊ฐ๋ค", "name_en": "VIDRAFT runs a 180B model on a consumer laptop with its POCKET lightweight strategy", "name_zh": "VIDRAFT runs a 180B model on a consumer laptop with its POCKET lightweight strategy", "group": "article"}, {"id": "m:AI Times", "name": "AIํ์์ค", "name_en": "AI Times", "name_zh": "AI Times", "group": "media"}, {"id": "a9", "name": "๋น๋๋ํํธ \"AI ๋ชจ๋ธ 25์ข ์ค 23์ข ์ ์ํ ํ๋ ํ์ธ\"", "name_en": "VIDRAFT: 23 of 25 public AI models flagged for risky agent behavior (AX-RAY)", "name_zh": "VIDRAFT: 23 of 25 public AI models flagged for risky agent behavior (AX-RAY)", "group": "article"}, {"id": "m:IT Chosun", "name": "IT์กฐ์ ", "name_en": "IT Chosun", "name_zh": "IT Chosun", "group": "media"}, {"id": "t:agent", "name": "์์ด์ ํธ", "name_en": "Agent", "name_zh": "ๆบ่ฝไฝ", "group": "topic"}, {"id": "a10", "name": "๋น๋๋ํํธ, ํํฐ๋ ์์์ปดํจํ ํ๋ซํผ ์ด์ฉ ๊ธฐ์ ์ ์ ", "name_en": "VIDRAFT selected to use Quantinuum's Nexus quantum computing platform", "name_zh": "VIDRAFT selected to use Quantinuum's Nexus quantum computing platform", "group": "article"}, {"id": "m:Hankyung", "name": "ํ๊ตญ๊ฒฝ์ ", "name_en": "Hankyung", "name_zh": "Hankyung", "group": "media"}, {"id": "a11", "name": "ํํธID, ํ๊น ํ์ด์ค ๊ณต์ธ AI ๋ฒค์น๋งํฌ 48๊ฐ 'ํ๋์'โฆ ์ค์๊ฐ ์ง๋ ๊ณต๊ฐ", "name_en": "QuantID maps all 48 Hugging Face official AI benchmarks in one live view", "name_zh": "QuantID maps all 48 Hugging Face official AI benchmarks in one live view", "group": "article"}, {"id": "m:Digital Times", "name": "๋์งํธํ์์ค", "name_en": "Digital Times", "name_zh": "Digital Times", "group": "media"}, {"id": "a12", "name": "๋น๋๋ํํธ, 'ํ๊น ํ์ด์ค' ๊ณต์ธ 1์ 10๊ฐ ์๊ถ", "name_en": "VIDRAFT sweeps 10 Hugging Face official #1 benchmarks", "name_zh": "VIDRAFT sweeps 10 Hugging Face official #1 benchmarks", "group": "article"}, {"id": "m:ZDNet Korea", "name": "ZDNet์ฝ๋ฆฌ์", "name_en": "ZDNet Korea", "name_zh": "ZDNet Korea", "group": "media"}, {"id": "a13", "name": "ํ์ดํผํด๋ก๋ฐXยท์์ฌ์ยท์๋ผ๋ ๋ด์๋คโฆโ์ค๊ตญํ ํ๊น ํ์ด์คโ์ ํ์ฅ๋ฒ", "name_en": "HyperCLOVA X, EXAONE and Solar too: how 'China's Hugging Face' expands (VIDRAFT's ModelSco", "name_zh": "HyperCLOVA X, EXAONE and Solar too: how 'China's Hugging Face' expands (VIDRAFT's ModelSco", "group": "article"}, {"id": "a14", "name": "180B ๋๋ชจ๋ธ์ ๋ ธํธ๋ถ์ ๋ฃ์ด 87.65%๋ก ๋๋ฆฐ๋ค: POCKET-Darwin-180B", "name_en": "A 180B model on a laptop at 87.65%: POCKET-Darwin-180B", "name_zh": "A 180B model on a laptop at 87.65%: POCKET-Darwin-180B", "group": "article"}, {"id": "m:Toutiao (China)", "name": "์ง๋ฅดํฐ์ฐํธ์ค ไปๆฅๅคดๆก (์ค๊ตญ)", "name_en": "Toutiao (China)", "name_zh": "Toutiao (China)", "group": "media"}, {"id": "a15", "name": "GPU ์์ด ๋ ธํธ๋ถ์์ 180B ํ๋ผ๋ฏธํฐ LLM์ ์คํํ๋ ๋ฐฉ๋ฒ: POCKET-Darwin-180B", "name_en": "How to run a 180B-parameter LLM on a laptop without a GPU: POCKET-Darwin-180B", "name_zh": "How to run a 180B-parameter LLM on a laptop without a GPU: POCKET-Darwin-180B", "group": "article"}, {"id": "m:n1n.ai (Global)", "name": "n1n.ai (๊ธ๋ก๋ฒ)", "name_en": "n1n.ai (Global)", "name_zh": "n1n.ai (Global)", "group": "media"}, {"id": "a16", "name": "๋น๋๋ํํธ, ์ค๊ตญ ๋ชจ๋ธ์ค์ฝํ์ '์ฐ๊ตฌ๊ธฐ๊ด' ์ธ์ฆโฆAX-RAY ๊ธฐ๋ฐ ์ค๊ตญ ์ง์ถ ์ถ์ง", "name_en": "VIDRAFT earns 'research institution' verification on China's ModelScope, plans China entry", "name_zh": "VIDRAFT earns 'research institution' verification on China's ModelScope, plans China entry", "group": "article"}, {"id": "a17", "name": "๋น๋๋ํํธ, ์ค๊ตญํ ํ๊น ํ์ด์ค์ ์ฐ๊ตฌ๊ธฐ๊ด ์ธ์ฆ๋ฐ์", "name_en": "VIDRAFT earns research-institution verification on 'China's Hugging Face', ModelScope", "name_zh": "VIDRAFT earns research-institution verification on 'China's Hugging Face', ModelScope", "group": "article"}, {"id": "a18", "name": "AI ๋ด์ค 10์ 2์ผ: ๋น๋๋ํํธ POCKET-Darwin-180B, 111GB 4๋นํธ GGUF๋ก ๋ ธํธ๋ถยทCPU ๊ตฌ๋", "name_en": "AI news, Oct 2: VIDRAFT releases POCKET-Darwin-180B, a 111 GB 4-bit GGUF that runs on CPU ", "name_zh": "AI news, Oct 2: VIDRAFT releases POCKET-Darwin-180B, a 111 GB 4-bit GGUF that runs on CPU ", "group": "article"}, {"id": "m:jls42 (France)", "name": "jls42 (ํ๋์ค)", "name_en": "jls42 (France)", "name_zh": "jls42 (France)", "group": "media"}, {"id": "a19", "name": "Darwin-180B-RSI, ๋ฒ์ ๋ฐฐ์ฐ์ง ์๊ณ ๋ฒ๋ฅ ๋ฒค์น๋งํฌ 1์", "name_en": "Darwin-180B-RSI leads legal benchmarks without studying law", "name_zh": "Darwin-180B-RSI leads legal benchmarks without studying law", "group": "article"}, {"id": "m:DonWeb (Argentina)", "name": "DonWeb (์๋ฅดํจํฐ๋)", "name_en": "DonWeb (Argentina)", "name_zh": "DonWeb (Argentina)", "group": "media"}, {"id": "a20", "name": "๋น๋๋ํํธ, ๋ฒ๋ฅ ๋ฐ์ดํฐ ํ์ต ์์ด ๊ธ๋ก๋ฒ ๋ฒค์น๋งํฌ 1์ ๋ฌ์ฑ", "name_en": "VIDRAFT tops a global legal benchmark without training on legal data", "name_zh": "VIDRAFT tops a global legal benchmark without training on legal data", "group": "article"}, {"id": "a21", "name": "๋น๋๋ํํธ, ์์ฒด ์๊ฐ๊ฐ์ AI๋ก ํ๊น ํ์ด์ค ๊ณต์ธ ๋ฒ๋ฅ ์ํ 1์...7๊ฐ ๋ถ๋ฌธ ์๊ถ", "name_en": "VIDRAFT's self-improving AI tops Hugging Face's official law exam benchmark, sweeping seve", "name_zh": "VIDRAFT's self-improving AI tops Hugging Face's official law exam benchmark, sweeping seve", "group": "article"}, {"id": "m:Lawissue", "name": "๋ก์ด์", "name_en": "Lawissue", "name_zh": "Lawissue", "group": "media"}, {"id": "a22", "name": "๋น๋๋ํํธ, ํ๊น ํ์ด์ค ๊ณต์ธ 7๊ฐ ๋ถ๋ฌธ ์๊ถโฆ ๋ฒ๋ฅ ์ถ๋ก ๋ฒค์น๋งํฌ๋ 1์", "name_en": "VIDRAFT sweeps seven Hugging Face official categories, including first place in legal reas", "name_zh": "VIDRAFT sweeps seven Hugging Face official categories, including first place in legal reas", "group": "article"}, {"id": "m:Law Leader", "name": "๋ก๋ฆฌ๋", "name_en": "Law Leader", "name_zh": "Law Leader", "group": "media"}, {"id": "a23", "name": "๋ฒ์ ๋ฐฐ์ฐ์ง ์์ AI, ์ค์์ค ๋ก์ค์ฟจ ์ํ 1์", "name_en": "Self-Taught AI Tops Swiss Law Exam Without Prior Legal Training", "name_zh": "Self-Taught AI Tops Swiss Law Exam Without Prior Legal Training", "group": "article"}, {"id": "m:WondTech (Global)", "name": "WondTech (๊ธ๋ก๋ฒ)", "name_en": "WondTech (Global)", "name_zh": "WondTech (Global)", "group": "media"}, {"id": "a24", "name": "๊ตญ๋ด AI ์คํํธ์ ๋น๋๋ํํธ, ๊ธ๋ก๋ฒ ๋น ํ ํฌ ์ ์น๊ณ AI ์ฑ๋ฅ 5๊ด์", "name_en": "Korean AI startup VIDRAFT beats global big tech to win five AI performance titles", "name_zh": "Korean AI startup VIDRAFT beats global big tech to win five AI performance titles", "group": "article"}, {"id": "m:ChosunBiz", "name": "์กฐ์ ๋น์ฆ", "name_en": "ChosunBiz", "name_zh": "ChosunBiz", "group": "media"}, {"id": "a25", "name": "๋น๋๋ํํธ ์ฌ๊ท์ ์๊ฐ๊ฐ์ ๋ชจ๋ธ, ๊ธ๋ก๋ฒ AI ๋ฆฌ๋๋ณด๋ 5๊ด์", "name_en": "VIDRAFT's recursive self-improvement model tops five global AI leaderboards", "name_zh": "VIDRAFT's recursive self-improvement model tops five global AI leaderboards", "group": "article"}, {"id": "m:AI Market Watch (USA)", "name": "AI Market Watch (๋ฏธ๊ตญ)", "name_en": "AI Market Watch (USA)", "name_zh": "AI Market Watch (USA)", "group": "media"}, {"id": "a26", "name": "๋น๋๋ํํธ, โ์ฌ๊ท์ ์๊ธฐ๊ฐ์ โ AI๋ก ๊ธ๋ก๋ฒ 5๊ฐ ๋ฆฌ๋๋ณด๋ ์๊ถ", "name_en": "VIDRAFT sweeps five global leaderboards with 'recursive self-improvement' AI", "name_zh": "VIDRAFT sweeps five global leaderboards with 'recursive self-improvement' AI", "group": "article"}, {"id": "a27", "name": "ํ๊ตญ ์คํํธ์ AI, ๊ธ๋ก๋ฒ ๋น ํ ํฌ ์ ์น๊ณ โ์ธ๊ณ 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{"id": "t:ztc", "name": "ZTC", "name_en": "ZTC", "name_zh": "ZTC", "group": "topic"}, {"id": "a30", "name": "[ํ์ฅ] ์ ๋ถ-๋ค์ด๋ฒ ์ปจ์, GPU 4512์ฅ ํฌ์ ํด โ๋ณด์ ํนํ AIโ ๋ง๋ ๋ค", "name_en": "GovernmentโNAVER consortium commits 4,512 GPUs to build security-specialised AI", "name_zh": "GovernmentโNAVER consortium commits 4,512 GPUs to build security-specialised AI", "group": "article"}, {"id": "m:EBN", "name": "EBN", "name_en": "EBN", "name_zh": "EBN", "group": "media"}, {"id": "a31", "name": "์ง๋์ AI, ์คํ๋ผ์ฐํฐ ๋ชจ๋ธ 426์ข ํ๊ตญ์ด ํ์ง ํ๊ฐ ๊ณต๊ฐ", "name_en": "GiniGEN AI publishes a Korean-quality evaluation of 426 OpenRouter models", "name_zh": "GiniGEN AI publishes a Korean-quality evaluation of 426 OpenRouter models", "group": "article"}, {"id": "a32", "name": "์ง๋์ AI, ์คํ๋ผ์ฐํฐ 426์ข ๋ถ์ โํ๊ตญ์ด AI ํ์ง ๋ฆฌ๋๋ณด๋โ ๊ณต๊ฐ", "name_en": "GiniGEN AI releases a Korean-language AI quality leaderboard covering 426 OpenRouter model", "name_zh": "GiniGEN AI releases a Korean-language AI quality leaderboard covering 426 OpenRouter model", "group": "article"}, {"id": "a33", "name": "๋น๋๋ํํธ ์จ๋๋ฐ์ด์ค AI โํฌ์ผโ, ๊ณต๊ฐ 7์ฃผ ๋ง์ 100๋ง ๋ค์ด๋ก๋", "name_en": "VIDRAFT's on-device AI POCKET passes 1M downloads seven weeks after release", "name_zh": "VIDRAFT's on-device AI POCKET passes 1M downloads seven weeks after release", "group": "article"}, {"id": "a34", "name": "๋น๋๋ํํธ โPOCKETโ, ๊ณต๊ฐ 7์ฃผ ๋ง์ 100๋ง ๋ค์ด๋ก๋ ๋ํ", "name_en": "VIDRAFT's POCKET passes 1M downloads seven weeks after release", "name_zh": "VIDRAFT's POCKET passes 1M downloads seven weeks after release", "group": "article"}, {"id": "m:Maeil Business Newspaper", "name": "๋งค์ผ๊ฒฝ์ ", "name_en": "Maeil Business Newspaper", "name_zh": "Maeil Business Newspaper", "group": "media"}, {"id": "a35", "name": "GPU ์์ด ๋๋ฆฌ๋ AIโฆ๋น๋๋ํํธ โํฌ์ผโ, 7์ฃผ ๋ง์ 100๋ง ๋ค์ด๋ก๋", "name_en": "On-device AI without a GPU โ VIDRAFTโs POCKET passes 1M downloads in 7 weeks", "name_zh": "On-device AI without a GPU โ VIDRAFTโs POCKET passes 1M downloads in 7 weeks", "group": "article"}, {"id": "a36", "name": "AI์์ ์์์ปดํจํฐ๊น์งโฆ AI ์ฐ๊ตฌยท๊ฐ๋ฐ ๋ฅํ ํฌ ๊ธฐ์ โ๋น๋๋ํํธโ [์์ธAIํ๋ธ 2027]", "name_en": "From AI to quantum computing โ deep-tech AI R&D company VIDRAFT [Seoul AI Hub 2027]", "name_zh": "From AI to quantum computing โ deep-tech AI R&D company VIDRAFT [Seoul AI Hub 2027]", "group": "article"}, {"id": "a37", "name": "๋ณด์๊ธฐ์ ์ญ๋ ์ด์ง๊ฒฐ [K-๋ฏธํ ์คโก] โ ๋น๋๋ํํธ, ๋ณด์ AI ์์ ์ฑ ์ง๋จยทํ๊ฐ ๋ด๋นโฆ AX-RAY 117๊ฐ ํญ๋ชฉ ์ ๊ฒ", "name_en": "[K-MITOS II] VIDRAFT takes on safety assessment of Koreaโs security AI โ AX-RAY audits 117", "name_zh": "[K-MITOS II] VIDRAFT takes on safety assessment of Koreaโs security AI โ AX-RAY audits 117", "group": "article"}, {"id": "a38", "name": "๋น๋๋ํํธ-๋ค์ด๋ฒํด๋ผ์ฐ๋, ๊ณผ๊ธฐ์ ํต๋ถ โ๋ณด์ ํนํ AI ๋ชจ๋ธ ๊ฐ๋ฐโ ์ฐธ์ฌโฆ AX-RAY ๊ธฐ์ ์ ์ฉ", "name_en": "VIDRAFT joins Naver Cloud in MSITโs cybersecurity-specialized AI model project, applying A", "name_zh": "VIDRAFT joins Naver Cloud in MSITโs cybersecurity-specialized AI model project, applying A", "group": "article"}, {"id": "e:๋ค์ด๋ฒํด๋ผ์ฐ๋", "name": "๋ค์ด๋ฒํด๋ผ์ฐ๋", "name_en": "๋ค์ด๋ฒํด๋ผ์ฐ๋", "name_zh": "๋ค์ด๋ฒํด๋ผ์ฐ๋", "group": "org"}, {"id": "e:๊ณผ๊ธฐ์ ํต๋ถ", "name": "๊ณผ๊ธฐ์ ํต๋ถ", "name_en": "๊ณผ๊ธฐ์ ํต๋ถ", "name_zh": "๊ณผ๊ธฐ์ ํต๋ถ", "group": "org"}, {"id": "a39", "name": "โAI ๊ตฌ์กฐ์ ๊ฒฐํจ ์ก๋๋คโโฆ ๋น๋๋ํํธ, ๋ค์ด๋ฒํด๋ผ์ฐ๋์ ์ด๊ฑฐ๋ ๋ณด์ AI ๊ฐ๋ฐ", "name_en": "โCatching AIโs structural flawsโ โ VIDRAFT builds hyperscale security AI with Naver Cloud", "name_zh": "โCatching AIโs structural flawsโ โ VIDRAFT builds hyperscale security AI with Naver Cloud", "group": "article"}, {"id": "m:Dong-A Ilbo", "name": "๋์์ผ๋ณด", "name_en": "Dong-A Ilbo", "name_zh": "Dong-A Ilbo", "group": "media"}, {"id": "a40", "name": "๋น๋๋ํํธยทํ๋ฐ์ด์คํ , AI ๋ฐ๊ตด ์ ์ฝ ํ๋ณด๋ฌผ์ง ์ธํฌ ์คํ ๊ฒ์ฆ ํ๋ ฅ", "name_en": "VIDRAFT and Pyo Biotech partner on cell-based validation of AI-discovered drug candidates", "name_zh": "VIDRAFT and Pyo Biotech partner on cell-based validation of AI-discovered drug candidates", "group": "article"}, {"id": "t:bio", "name": "๋ฐ์ด์ค", "name_en": "Bio", "name_zh": "็็ฉ", "group": "topic"}, {"id": "a41", "name": "๋น๋๋ํํธยท์์๋ฐ์ค, ๋ฌผ๋ฅ ํนํ LLMยท๋์งํธํธ์ PoC ๊ตฌ์ถ ๊ณ์ฝ ์ฒด๊ฒฐ", "name_en": "VIDRAFT and OURBOX sign PoC contract for logistics-specialized LLM and digital twin", "name_zh": "VIDRAFT and OURBOX sign PoC contract for logistics-specialized LLM and digital twin", "group": "article"}, {"id": "t:etc", "name": "๊ธฐํ", "name_en": "Etc", "name_zh": "ๅ ถไป", "group": "topic"}, {"id": "a42", "name": "โ๊ธ๋ก๋ฒ ์คํ๋ชจ๋ธ ๋ค์ด๋ก๋, ํ๊ตญ ๋น์ค 0.4%๋ฟโ โ ๋น๋๋ํํธ, ํ๊น ํ์ด์ค ํฑ 300 ๋ถ์", "name_en": "โKorea holds just 0.4% of global open-model downloadsโ โ VIDRAFT analyzes Hugging Face top", "name_zh": "โKorea holds just 0.4% of global open-model downloadsโ โ VIDRAFT analyzes Hugging Face top", "group": "article"}, {"id": "a43", "name": "๋น๋๋ํํธ, โ๋ชจ๋์ ์ฑ๋ฆฐ์ง ๋ฐ์ด์คโ ์ ์ โฆ ์ ๋ถ์ ํญ์ ์ ์ฝ ๋ฐ๊ตด๋ถํฐ ์ ์์๊น์ง, ๋ฌผ์ง IP ํ๋ณด ์ถ์ง", "name_en": "VIDRAFT selected for โChallenge Bioโ โ small-molecule oncology discovery through preclinic", "name_zh": "VIDRAFT selected for โChallenge Bioโ โ small-molecule oncology discovery through preclinic", "group": "article"}, {"id": "m:BioTimes", "name": "๋ฐ์ด์คํ์์ฆ", "name_en": "BioTimes", "name_zh": "BioTimes", "group": "media"}, {"id": "a44", "name": "ํ๊น ํ์ด์ค๊ฐ ์ฃผ๋ชฉํ ้ โ๋น๋๋ํํธโโฆ๊ธ๋ก๋ฒ AI ๋ฌด๋์ ๊ธฐ์ ๋ ฅ ์ ์ฆ (๊น๋ฏผ์ ๋ํ ์ธํฐ๋ทฐ)", "name_en": "Hugging Face spotlights Koreaโs VIDRAFT โ proving its technology on the global AI stage (C", "name_zh": "Hugging Face spotlights Koreaโs VIDRAFT โ proving its technology on the global AI stage (C", "group": "article"}, {"id": "m:Electronic Times", "name": "์ ์์ ๋ฌธ", "name_en": "Electronic Times", "name_zh": "Electronic Times", "group": "media"}, {"id": "a45", "name": "์ ๋ถ ์ ์ฑ ๋ธ๋ฆฌํ ์๋ฃ โ ๋ ์ AI ํ์ด๋ฐ์ด์ ๋ชจ๋ธ ๊ด๋ จ ๋ฐํ", "name_en": "Government policy briefing โ Koreaโs sovereign AI foundation model announcement", "name_zh": "Government policy briefing โ Koreaโs sovereign AI foundation model announcement", "group": "article"}, {"id": "m:Korea.kr Policy Briefing", "name": "๋ํ๋ฏผ๊ตญ ์ ์ฑ ๋ธ๋ฆฌํ", "name_en": "Korea.kr Policy Briefing", "name_zh": "Korea.kr Policy Briefing", "group": "media"}, {"id": "a46", "name": "โ์ฌ์ด๋ฒ๋ณด์ ํนํ AI ๋ชจ๋ธโ ๊ฐ๋ฐ์ ๋ค์ด๋ฒํด๋ผ์ฐ๋ ์ปจ์์์ ์ ์ โ ๋น๋๋ํํธ ์ฐธ์ฌ", "name_en": "Naver Cloud consortium selected for Koreaโs cybersecurity AI foundation model โ VIDRAFT pa", "name_zh": "Naver Cloud consortium selected for Koreaโs cybersecurity AI foundation model โ VIDRAFT pa", "group": "article"}, {"id": "m:Digital Daily", "name": "๋์งํธ๋ฐ์ผ๋ฆฌ", "name_en": "Digital Daily", "name_zh": "Digital Daily", "group": "media"}, {"id": "a47", "name": "VIDOG ํคํธ: ๋น๋๋ํํธ, ๋ก๋ด์ ์จ๋๋ฐ์ด์ค AI ํ์ฅ์ฐฉ (๋ ์ผ ๋งค์ฒด ๋ณด๋)", "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 (๋ ์ผ)", "name_en": "ad-hoc-news (Germany)", "name_zh": "ad-hoc-news (Germany)", "group": "media"}, {"id": "t:physical-ai", "name": "ํผ์ง์ปฌAI", "name_en": "Physical AI", "name_zh": "ๅ ท่บซๆบ่ฝ", "group": "topic"}, {"id": "a48", "name": "๋น๋๋ํํธ, ์๊ฒฉ์กฐ์ข ๋ก๋ดโ์์จ๋ณดํย ์ ํย AI ํคํธ โ๋น๋ โ ๊ณต๊ธ", "name_en": "VIDRAFT supplies โVIDOGโ AI kit turning remote-control robots into autonomous walkers", "name_zh": "VIDRAFT supplies โVIDOGโ AI kit turning remote-control robots into autonomous walkers", "group": "article"}, {"id": "m:Robot News", "name": "๋ก๋ด์ ๋ฌธ", "name_en": "Robot News", "name_zh": "Robot News", "group": "media"}, {"id": "a49", "name": "๋น๋๋ํํธ, โAI ๋ฌธ๋ช ์ ์ฐฝ๋ฐ์ธ๊ฐ ์์ก์ธ๊ฐโโฆ๋ผ์ด๋ธ ์คํ์ธ๊ณ โai-์๋โ ๊ณต๊ฐ", "name_en": "VIDRAFT unveils live experiment world โai-worldโ: is AI civilization emergence or recitati", "name_zh": "VIDRAFT unveils live experiment world โai-worldโ: is AI civilization emergence or recitati", "group": "article"}, {"id": "a50", "name": "๋น๋๋ํํธ AI ์ ์ฝ ๊ฒ์ฆ โOpen Discovery Challengeโ, ํ๋ณด๋ฌผ์ง ์ ์ถ 1๋ง ๊ฑด ๋ํ", "name_en": "VIDRAFT AI drug-discovery challenge โOpen Discovery Challengeโ tops 10,000 submissions", "name_zh": "VIDRAFT AI drug-discovery challenge โOpen Discovery Challengeโ tops 10,000 submissions", "group": "article"}, {"id": "a51", "name": "๋น๋๋ํํธ AX-RAY, โ๊ตญ๊ฐ ๋ณด์ AI ํ์ด๋ฐ์ด์ ๋ชจ๋ธโ ์์ ์ฑ ๊ฒ์ฆ ๊ธฐ์ ์ฑํ", "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": "์ค์์ผ๋ณด", "name_en": "JoongAng Ilbo", "name_zh": "JoongAng Ilbo", "group": "media"}, {"id": "a52", "name": "๋น๋๋ํํธ, ๋ก๋ด ์์จ๋ณดํ AI ํคํธ โVIDOGโ ๊ณต๊ธ", "name_en": "VIDRAFT supplies robot autonomous-walking AI kit โVIDOGโ", "name_zh": "VIDRAFT supplies robot autonomous-walking AI kit โVIDOGโ", "group": "article"}, {"id": "m:Hankook Ilbo", "name": "ํ๊ตญ์ผ๋ณด", "name_en": "Hankook Ilbo", "name_zh": "Hankook Ilbo", "group": "media"}, {"id": "a53", "name": "๋น๋๋ํํธ, ํ๊น ํ์ด์ค AI ๋ชจ๋ธ ๋ค์ด๋ก๋ 160๋ง ๋ํ", "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": "๋น๋๋ํํธ, ๊ธฐ์ ยท๊ธฐ๊ด ์ธ๊ณต์ง๋ฅ ๋ง์ถค ์ก์ฑ โAI ํ์ด๋๋ฆฌโ ์ฌ์ ์ถ์ง", "name_en": "VIDRAFT launches โAI Foundryโ business to custom-grow AI for enterprises", "name_zh": "VIDRAFT launches โAI Foundryโ business to custom-grow AI for enterprises", "group": "article"}, {"id": "a55", "name": "๋น๋๋ํํธ 'ai-world', ํ๊น ํ์ด์ค Spaces of the Week (์ฃผ๊ฐ Top 8) ์ ์ โ 2026๋ 9์ 1์ฃผ์ฐจ", "name_en": "VIDRAFT 'ai-world' selected for Hugging Face Spaces of the Week (Weekly Top 8) โ 1st week ", "name_zh": "VIDRAFT 'ai-world' selected for Hugging Face Spaces of the Week (Weekly Top 8) โ 1st week ", "group": "article"}, {"id": "a56", "name": "๋น๋๋ํํธ, ๊ณต๊ฐ AI ๋ชจ๋ธ์ ์ธ๊ณผ ๋์ค ํ์ธโฆ๋ณด์ AI ์ฌ์ ์ฐธ์ฌ ์ถ์ง", "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": "๋น๋๋ํํธ ๋ ผ๋ฌธ ํ๋๊ฐ ๋ง๋ ์ผ๋จ ๊ตฌ์กฐโฆ์ฐ๊ตฌยทAX-RAYยท๊ตญ๊ฐ ๋ณด์ 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": "์ ์์ ๋ฌธ", "name_en": "ETNews", "name_zh": "ETNews", "group": "media"}, {"id": "a58", "name": "๋น๋๋ํํธ, AI โ์ธ๊ณผ ๋์คโ ์ง๋จ ๊ธฐ์ AX-RAY ์ ์ฉโฆ๋ณด์ ํนํ ๋ชจ๋ธ ๊ฒ์ฆ ํ๋", "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": "์ด์ฝ๋ ธ๋ฏธ์คํธ", "name_en": "Economist Korea", "name_zh": "Economist Korea", "group": "media"}, {"id": "a59", "name": "๋น๋๋ํํธ, AI โ์ธ๊ณผ ๋์คโ ์ง๋จ ์ฐ๊ตฌ ๊ณต๊ฐโฆ๋ณด์ AI ์ฌ์ ์ฐธ์ฌ ์ถ์ง", "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": "โ๋ณด์ ํนํ AIโ SKTยท๋ค์ด๋ฒํด๋ผ์ฐ๋ 2ํ์ , KT๋ ๋ถ์ฐธ โ ๋น๋๋ํํธยทLG CNS ๋ค์ด๋ฒํด๋ผ์ฐ๋ ์ปจ์์์ ํฉ๋ฅ", "name_en": "Two consortia bid for Korea's cybersecurity foundation-model programme โ VIDRAFT and LG CN", "name_zh": "Two consortia bid for Korea's cybersecurity foundation-model programme โ VIDRAFT and LG CN", "group": "article"}, {"id": "m:Bizwatch", "name": "๋น์ฆ์์น", "name_en": "Bizwatch", "name_zh": "Bizwatch", "group": "media"}, {"id": "a61", "name": "๋น๋๋ํํธ, โ์ธ๊ณผ ๋์คโ ์ค์ฆ ๋ ผ๋ฌธ์ AX-RAY๋กโฆ๋ณด์ ํ์ด๋ฐ์ด์ ๋ชจ๋ธ ๊ฒ์ฆ ๊ธฐ์ ๋ก ํ์ฅ", "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": "๋ฌ์์ IT๋งค์ฒด vc.ru ๋ถ์ โ Darwin-36B-Opus, ํ์ต์ด ์๋๋ผ '์ก์ข '์ผ๋ก 397B๊ธ ์ฑ๋ฅ (GPQA 88.4%)", "name_en": "Russian tech outlet vc.ru โ Darwin-36B-Opus: bred rather than trained, matching 397B model", "name_zh": "Russian tech outlet vc.ru โ Darwin-36B-Opus: bred rather than trained, matching 397B model", "group": "article"}, {"id": "m:vc.ru (Russia)", "name": "vc.ru (๋ฌ์์)", "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": "๋น์ ๋ฉ๋์ปฌ ๋ถ์ โ ๋ง๋ผ๋ฆฌ์ยท๊ฒฐํต AI ์ ์ฝ, ํด๋ก๋ 43.7์ ์ด๊ธฐ ๋ฐ์ดํฐ๊ฐ ๋์ง ์ง๋ฌธ", "name_en": "Vizen Medical analysis โ what the early Claude 43.7 figure from the Open Discovery Challen", "name_zh": "Vizen Medical analysis โ what the early Claude 43.7 figure from the Open Discovery Challen", "group": "article"}, {"id": "m:Vizen Medical", "name": "๋น์ ๋ฉ๋์ปฌ", "name_en": "Vizen Medical", "name_zh": "Vizen Medical", "group": "media"}, {"id": "a64", "name": "์๋ฌธ IT๋งค์ฒด RuntimeWire ๋ณด๋ โ FINAL-Bench, ๋ฐ์ดํฐ ๋ถํ ๋ฐฉ์๋ง ๋ฐ๊ฟ AUROC 0.21 ๊ฒฉ์ฐจ ํ์ธ (์ ์ฝ ์์ธก ๋ฒค์น๋งํฌ 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 (์๋ฌธ)", "name_en": "RuntimeWire (Global)", "name_zh": "RuntimeWire (Global)", "group": "media"}, {"id": "a65", "name": "์ด์คํธ์ํํธ, โ์๋น์โ๋ก ๋ชจ๋์ AI ์๋น์ค ๋์ โ ๋น๋๋ํํธ, AI ๋ชจ๋ธ ์ฑ๋ฅ ์ต์ ํยท๊ฒฝ๋ํ ๋ด๋น", "name_en": "ESTsoft bids for Korea's national AI service with 'Al Biseo' โ VIDRAFT leads model optimis", "name_zh": "ESTsoft bids for Korea's national AI service with 'Al Biseo' โ VIDRAFT leads model optimis", "group": "article"}, {"id": "a66", "name": "็พ AP News ๋ณด๋์๋ฃ ๊ฒ์ฌ โ OpenAIยทClaudeยทGeminiยทDeepSeek ์ค ๋๊ฐ ๋ ๋์ ์ ์ฝ ํ๋ณด๋ฅผ ์ฐพ๋๊ฐ (Open Discovery Cha", "name_en": "Press release on AP News โ OpenAI, Claude, Gemini or DeepSeek: which AI is better at disco", "name_zh": "Press release on AP News โ OpenAI, Claude, Gemini or DeepSeek: which AI is better at disco", "group": "article"}, {"id": "m:AP News (USA)", "name": "AP News (๋ฏธ๊ตญ)", "name_en": "AP News (USA)", "name_zh": "AP News (USA)", "group": "media"}, {"id": "a67", "name": "โ์ ๊ตญ๋ฏผ ๋ฌด๋ฃ AIโ ๊ณต๋ชจ์ SKTยท์นด์นด์คยทKT ๋ฑ 6๊ฐ ์ฐํฉ์ฒด ๋์ ์ฅ โ ๋น๋๋ํํธ, ์ด์คํธ์ํํธ ์ปจ์์์ ์ฐธ์ฌ", "name_en": "Six consortia bid for Korea's free national AI programme โ VIDRAFT joins the ESTsoft conso", "name_zh": "Six consortia bid for Korea's free national AI programme โ VIDRAFT joins the ESTsoft conso", "group": "article"}, {"id": "m:Hankyoreh", "name": "ํ๊ฒจ๋ ", "name_en": "Hankyoreh", "name_zh": "Hankyoreh", "group": "media"}, {"id": "a68", "name": "๋น๋๋ํํธ, AI ์ ์ฝ๋ฐ๊ฒฌ ํ๋ก์ ํธ ๊ณต๊ฐโฆ3์ผ ๋ง์ 2000๊ฑด ์ด์ ํ๋ณด๋ฌผ์ง ์ ์ถ", "name_en": "VIDRAFT opens its AI drug-discovery project โ over 2,000 candidate compounds submitted in ", "name_zh": "VIDRAFT opens its AI drug-discovery project โ over 2,000 candidate compounds submitted in ", "group": "article"}, {"id": "a69", "name": "๋น๋๋ํํธ, AI ์์ ์ฑ ์ง๋จ โAX-RAYโ ๋ฆฌ๋๋ณด๋ยท๋ฐ์ดํฐ์ ๊ณต๊ฐ", "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": "๋น๋๋ํํธ, AI ์ ์ฝ ํ์ ์ฑ๋ฆฐ์ง ๊ณต๊ฐ 3์ผ ๋ง์ 2000 ๊ฑด ๋ํ", "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": "๋ง๋ผ๋ฆฌ์ยท๊ฒฐํต ์ค์ ์ ์ฝ ํ๋ณด ๊ฒฝ์์ ํด๋ก๋ ๊ณ์ด ์ ๋", "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": "AIํ์์ค ๋ณด๋ โ ๋น๋๋ํํธ, ๋ฒ์ฉ LLM์ โ์ธ๊ณผ๋์คโ ํ์งโฆAI ์์ ์ฑ ์ง๋จ โAX-RAYโ ๋ฆฌ๋๋ณด๋ยทํ๊ฐ ๋ฐ์ดํฐ์ ํ๊น ํ์ด์ค ๊ณต๊ฐ", "name_en": "AI Times โ VIDRAFT detects causal leakage in general-purpose LLMs and publishes AX-RAY, an", "name_zh": "AI Times โ VIDRAFT detects causal leakage in general-purpose LLMs and publishes AX-RAY, an", "group": "article"}, {"id": "a73", "name": "์ผ๋ณธ note, ๋น๋๋ํํธ Fast Gemma ๊ฒ์ฆ 1์ ๊ธฐ๋ก ์ฌ์ธต ๋ถ์", "name_en": "note (Japan) โ an in-depth analysis of VIDRAFT's verified #1 record in the Fast Gemma Chal", "name_zh": "note (Japan) โ an in-depth analysis of VIDRAFT's verified #1 record in the Fast Gemma Chal", "group": "article"}, {"id": "m:note (Japan)", "name": "note (์ผ๋ณธ)", "name_en": "note (Japan)", "name_zh": "note (Japan)", "group": "media"}, {"id": "a74", "name": "๋น๋๋ํํธ, AI ์์ ์ฑ ์ง๋จ AX-RAY ๋ฐ ํ๊ฐ ๋ฐ์ดํฐ์ ํ๊น ํ์ด์ค์ ๊ณต๊ฐ", "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": "๋น๋๋ํํธ AX-Ray, ๊ณต๊ฐ๋ชจ๋ธ ๊ฒฐํจ ์ฒซ ์ค์ฆ", "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": "๋น๋๋ํํธ AX-Ray, ๋ฒ์ฉ ๊ณต๊ฐ AI 2์ข ์ ์ธ๊ณผ๋์ค ๊ฒฐํจ ์ง๋จยท์ฌํ ์ฑ๊ณต", "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 (๋ฏธ๊ตญ) ๊ฒ์ฌ โ ๋น๋๋ํํธ(๋ํ ๊น๋ฏผ์), ๊ตฌ๊ธยทํ๊น ํ์ด์ค โThe Fast Gemma Challengeโ ๊ฒ์ฆ ๋ถ๋ฌธ ์ต๊ณ ๊ธฐ๋ก ๋ฌ์ฑ ๊ตฌ์ฑ ๊ณต๊ฐ ", "name_en": "TLDR AI (US) โ VIDRAFT documented the full configuration behind its verified state-of-the-", "name_zh": "TLDR AI (US) โ VIDRAFT documented the full configuration behind its verified state-of-the-", "group": "article"}, {"id": "m:TLDR AI (US)", "name": "TLDR AI (๋ฏธ๊ตญ)", "name_en": "TLDR AI (US)", "name_zh": "TLDR AI (US)", "group": "media"}, {"id": "a78", "name": "ํ๊ตญ๊ฒฝ์ TV ๋ณด๋ โ ๋น๋๋ํํธ(๋ํ ๊น๋ฏผ์), ๊ตฌ๊ธยทํ๊น ํ์ด์ค โThe Fast Gemma Challengeโ ๊ฒ์ฆ ๋ถ๋ฌธ ์ต๊ณ ๊ธฐ๋ก (vidraft-darwin", "name_en": "Korea Economic TV โ VIDRAFT posts the top verified score on GoogleรHugging Face โThe Fast ", "name_zh": "Korea Economic TV โ VIDRAFT posts the top verified score on GoogleรHugging Face โThe Fast ", "group": "article"}, {"id": "m:Korea Economic TV", "name": "ํ๊ตญ๊ฒฝ์ TV", "name_en": "Korea Economic TV", "name_zh": "Korea Economic TV", "group": "media"}, {"id": "a79", "name": "AIํ์์ค ๋ณด๋ โ ๋น๋๋ํํธ(๋ํ ๊น๋ฏผ์), ๊ตฌ๊ธ ์ถ๋ก ์ต์ ํ ๊ฒฝ์ฐ โThe Fast Gemma Challengeโ ๊ฒ์ฆ ๊ธฐ๋ก ์ธ๊ณ 1์ (vidraft-dar", "name_en": "AI Times โ VIDRAFT takes global #1 on Googleโs Fast Gemma Challenge (verified 510.58 TPS a", "name_zh": "AI Times โ VIDRAFT takes global #1 on Googleโs Fast Gemma Challenge (verified 510.58 TPS a", "group": "article"}, {"id": "a80", "name": "์ ์์ ๋ฌธ ๋ณด๋ โ ๋น๋๋ํํธ(๋ํ ๊น๋ฏผ์), ๊ตฌ๊ธยทํ๊น ํ์ด์ค โThe Fast Gemma Challengeโ ์ถ๋ก ์ต์ ํ ๊ฒฝ์ฐ์ ๊ฒ์ฆ(VERIFIED) ๊ธฐ๋ก ์ธ๊ณ", "name_en": "ETNews โ VIDRAFT tops the Google ร Hugging Face โFast Gemma Challengeโ on verified records", "name_zh": "ETNews โ VIDRAFT tops the Google ร Hugging Face โFast Gemma Challengeโ on verified records", "group": "article"}, {"id": "a81", "name": "๋์์ผ๋ณด ๋ณด๋ โ ๊ตญ๋ด AI ์คํํธ์ ๋น๋๋ํํธ, ๊ตฌ๊ธ ์ฃผ์ต โThe Fast Gemma Challengeโ ๊ฒ์ฆ ๊ธฐ๋ก ๋ถ๋ฌธ ๊ธ๋ก๋ฒ 1์", "name_en": "Dong-A Ilbo โ Korean AI startup VIDRAFT takes global #1 on Googleโs Fast Gemma Challenge (", "name_zh": "Dong-A Ilbo โ Korean AI startup VIDRAFT takes global #1 on Googleโs Fast Gemma Challenge (", "group": "article"}, {"id": "a82", "name": "ํ๊ตญ๊ฒฝ์ ๋ณด๋ โ ๋น๋๋ํํธ, ๊ตฌ๊ธยทํ๊น ํ์ด์ค โThe Fast Gemma Challengeโ ๊ฒ์ฆ ๋ถ๋ฌธ ์ต๊ณ ๊ธฐ๋ก", "name_en": "The Korea Economic Daily โ VIDRAFT posts the top verified record on the Google ร Hugging F", "name_zh": "The Korea Economic Daily โ VIDRAFT posts the top verified record on the Google ร Hugging F", "group": "article"}, {"id": "m:The Korea Economic Daily (Hankyung)", "name": "ํ๊ตญ๊ฒฝ์ (ํ๊ฒฝ)", "name_en": "The Korea Economic Daily (Hankyung)", "name_zh": "The Korea Economic Daily (Hankyung)", "group": "media"}, {"id": "a83", "name": "๋ฌ์์ IT๋งค์ฒด techora.ru, ์ฃผ๊ถํ AI ํน์ง์ ๋น๋๋ํํธ โAether-7B-5Attnโ ์ฌ์ธต ๋ถ์ โ โ์ธ๊ณ ์ต์ด, ๋ฏผ๊ฐ๊ธฐ์ ์ด ๋ง๋ ์์ ๊ณต๊ฐ ์คํ์", "name_en": "Russian tech outlet techora.ru features VIDRAFTโs Aether-7B-5Attn in a sovereign-AI deep d", "name_zh": "Russian tech outlet techora.ru features VIDRAFTโs Aether-7B-5Attn in a sovereign-AI deep d", "group": "article"}, {"id": "m:techora.ru (Russia)", "name": "techora.ru (๋ฌ์์)", "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": "์ผ๋ณธ AI ๋งค์ฒด AI Chronicle ๋ณด๋ โ ๋น๋๋ํํธ POCKET-35B, iPhoneยทGPU ์๋ PC์์ ๋๋ 35B MoE ์จ๋๋ฐ์ด์ค ๋ชจ๋ธ(MoE๋ก ๋ฉ", "name_en": "Japanese AI outlet AI Chronicle covers VIDRAFT's POCKET-35B โ a 35B MoE on-device model ru", "name_zh": "Japanese AI outlet AI Chronicle covers VIDRAFT's POCKET-35B โ a 35B MoE on-device model ru", "group": "article"}, {"id": "m:AI Chronicle (Japan)", "name": "AI Chronicle (์ผ๋ณธ)", "name_en": "AI Chronicle (Japan)", "name_zh": "AI Chronicle (Japan)", "group": "media"}, {"id": "a85", "name": "IT BOLTWISE(๋ ์ผ) ๋ณด๋ โ ๋น๋๋ํํธ, ์์ธ ๋ก๋ดยทAI ๊ณผํ๊ด Spot ๋ก๋ด์ ์จ๋๋ฐ์ด์ค AI๋ก ํ๊ตญ์ด ์์ฑ ๋์(ํด๋ผ์ฐ๋ ์์ดยท์ ์กฐ์ฌ ๋น๋ ์ ๋ชจ๋ํ)", "name_en": "IT BOLTWISE (Germany) reports โ VIDRAFT makes the Spot robot at Seoul's Robot & AI Museum ", "name_zh": "IT BOLTWISE (Germany) reports โ VIDRAFT makes the Spot robot at Seoul's Robot & AI Museum ", "group": "article"}, {"id": "m:IT BOLTWISE (Germany)", "name": "IT BOLTWISE (๋ ์ผ)", "name_en": "IT BOLTWISE (Germany)", "name_zh": "IT BOLTWISE (Germany)", "group": "media"}, {"id": "a86", "name": "๋์์ผ๋ณด ๋ณด๋ โ ์์๋ฐ์ค, ์์ฒด ๊ฐ๋ฐ ํ๊ตญ์ด LLM 'Ourbox-31B-JGOS'๋ก K-AI ๋ฆฌ๋๋ณด๋ 30B+ ๋ถ๋ฌธ 2์โฆ ๋งํ๋ 3D ์๋ฐํ ์จ๋๋ฐ์ด์ค AI", "name_en": "Dong-A Ilbo reports โ Ourbox reaches #2 in the 30B+ category of the K-AI Leaderboard with ", "name_zh": "Dong-A Ilbo reports โ Ourbox reaches #2 in the 30B+ category of the K-AI Leaderboard with ", "group": "article"}, {"id": "a87", "name": "ํ๊ตญ๊ฒฝ์ ๋ณด๋ โ ์์๋ฐ์ค 'Ourbox-31B-JGOS', ๊ณผ๊ธฐ์ ํต๋ถยทNIA K-AI ๋ฆฌ๋๋ณด๋ 30B+ ๋ถ๋ฌธ ์ข ํฉ 2์ (๋น๋๋ํํธ ์จ๋๋ฐ์ด์ค AI ํ๋ซํผ 'P", "name_en": "Korea Economic Daily reports โ Ourbox's 'Ourbox-31B-JGOS' ranks #2 overall in the 30B+ cat", "name_zh": "Korea Economic Daily reports โ Ourbox's 'Ourbox-31B-JGOS' ranks #2 overall in the 30B+ cat", "group": "article"}, {"id": "a88", "name": "ZDNet ๋ณด๋ โ ์ค๋งํธ ๋ฌผ๋ฅ๊ธฐ์ ์์๋ฐ์ค, ์์ฒด ๊ฐ๋ฐ ํ๊ตญ์ด AI 'Ourbox-31B-JGOS'๋ก K-AI ๋ฆฌ๋๋ณด๋ 2์ (๋น๋๋ํํธ 'POCKET' CPU", "name_en": "ZDNet Korea reports โ Smart logistics firm Ourbox reaches #2 on the K-AI Leaderboard with ", "name_zh": "ZDNet Korea reports โ Smart logistics firm Ourbox reaches #2 on the K-AI Leaderboard with ", "group": "article"}, {"id": "a89", "name": "์ค๊ตญ ๋งค์ฒด ๆกๅญๅฟซ่ฎฏ ๋ณด๋ โ ๋น๋๋ํํธ POCKET-35B(GPU ์์ด PCยทํฐ์์ ๋๋ 35B ์จ๋๋ฐ์ด์ค ๋ชจ๋ธ)๊ฐ Reddit r/LocalLLaMA ์ปค๋ฎค๋ํฐ ", "name_en": "Chinese outlet Tรกozi AI Flash covers VIDRAFT's POCKET-35B โ a 35B on-device model that run", "name_zh": "Chinese outlet Tรกozi AI Flash covers VIDRAFT's POCKET-35B โ a 35B on-device model that run", "group": "article"}, {"id": "m:Tรกozi AI Flash (China)", "name": "ๆกๅญๅฟซ่ฎฏ (์ค๊ตญ)", "name_en": "Tรกozi AI Flash (China)", "name_zh": "Tรกozi AI Flash (China)", "group": "media"}, {"id": "a90", "name": "็พ ๋ฐ๋์ฒด ๊ถ์์ง SemiEngineering ํธ์ง์ง, ์ฃผ๊ฐ '๋ณด์ ์ฐ๊ตฌ๋ ผ๋ฌธ' ๋ฆฌ๋ทฐ์ ๋น๋๋ํํธ ์์ ์ํธ๋ถ์ ๋ ผ๋ฌธ(IBM ์ค๊ธฐ) ์ ์ โ MetaยทGoogleยท", "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 (๋ฏธ๊ตญ)", "name_en": "SemiEngineering (US)", "name_zh": "SemiEngineering (US)", "group": "media"}, {"id": "a91", "name": "๋ฏธ๊ตญ ๊ธ์ต๋ด์ค StreetInsider ๊ฒ์ฌ โ ์์ธ ๋ก๋ดยทAI๊ณผํ๊ด Spot ๋ก๋ด์ด ํ๊ตญ์ด ์์ฑ ๋ช ๋ น ์ดํด(๋น๋๋ํํธ ์จ๋๋ฐ์ด์ค AI, ํด๋ผ์ฐ๋ ์์ด ํ์ฅ ์ฒ๋ฆฌ", "name_en": "Published on US financial news outlet StreetInsider โ Spot robot at Seoul Robot & AI Scien", "name_zh": "Published on US financial news outlet StreetInsider โ Spot robot at Seoul Robot & AI Scien", "group": "article"}, {"id": "m:StreetInsider (US)", "name": "StreetInsider (๋ฏธ๊ตญ)", "name_en": "StreetInsider (US)", "name_zh": "StreetInsider (US)", "group": "media"}, {"id": "a92", "name": "์บ๋๋ค ๋ด์ค ํธํฅยทํฉํธ ๋น๊ต ์ ๊ทธ๋ฆฌ๊ฒ์ดํฐ Ground News, ์์ธ ๋ฐ๋ฌผ๊ด Spot ๋ก๋ด ํ๊ตญ์ด ์์ฑ์ ์ด ์์ ์ง๊ณ โ ็พ ๋ฑ ๋ด์ค ์์ค 58๊ณณ ๊ฒ์ฌ(74% ์ค", "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 (์บ๋๋ค)", "name_en": "Ground News (Canada)", "name_zh": "Ground News (Canada)", "group": "media"}, {"id": "a93", "name": "์์์ปดํจํฐ๋ก ์ํธ๋ฅผ ๊นจ๊ธฐ ์ํด ๋์ ํ ์ด์ผ๊ธฐ โ IBM ์ค๊ธฐ Even-Mansour N=10", "name_en": "The story of attempting to break cryptography with a quantum computer โ IBM real machine E", "name_zh": "The story of attempting to break cryptography with a quantum computer โ IBM real machine E", "group": "article"}, {"id": "m:Brunch", "name": "๋ธ๋ฐ์น", "name_en": "Brunch", "name_zh": "Brunch", "group": "media"}, {"id": "a94", "name": "ไธญ IT์ ๋ฌธ์ง CNMO(ๆๆบไธญๅฝ), 'Aether-7B-5Attn' ์์ ๊ณต๊ฐ ์กฐ๋ช โ โ์์ด ์ค์ฌ์ด ์๋ ์์ฃผ์ ํ์ด๋ฐ์ด์ ๋ชจ๋ธโ", "name_en": "Chinese IT outlet CNMO (ๆๆบไธญๅฝ) highlights full disclosure of 'Aether-7B-5Attn' โ \"An indepe", "name_zh": "Chinese IT outlet CNMO (ๆๆบไธญๅฝ) highlights full disclosure of 'Aether-7B-5Attn' โ \"An indepe", "group": "article"}, {"id": "m:CNMO ๆๆบไธญๅฝ (China)", "name": "CNMO ๆๆบไธญๅฝ (์ค๊ตญ)", "name_en": "CNMO ๆๆบไธญๅฝ (China)", "name_zh": "CNMO ๆๆบไธญๅฝ (China)", "group": "media"}, {"id": "a95", "name": "์ค๊ตญ ์ต๋ ํฌํธ ํ ์ผํธ ๋ด์ค(่ พ่ฎฏๆฐ้ป), ๋น๋๋ํํธ ์คํ์์ค ํ์ด๋ฐ์ด์ ๋ชจ๋ธ 'Aether-7B-5Attn' ๋ณด๋", "name_en": "China's largest portal Tencent News (่ พ่ฎฏๆฐ้ป) reports on VIDRAFT's open-source foundation mod", "name_zh": "China's largest portal Tencent News (่ พ่ฎฏๆฐ้ป) reports on VIDRAFT's open-source foundation mod", "group": "article"}, {"id": "m:Tencent News (China)", "name": "ํ ์ผํธ ๋ด์ค (์ค๊ตญ)", "name_en": "Tencent News (China)", "name_zh": "Tencent News (China)", "group": "media"}, {"id": "a96", "name": "์ค๊ตญ ๊ธ์ตํฌํธ ้่็ ๊ฒ์ฌ โ ๋น๋๋ํํธ, ํ์ต ์์ค์ฝ๋ยท๊ฐ์ค์น ์ ๋ถ ๊ณต๊ฐํ 'Aether-7B' ์คํ์์คํ", "name_en": "Published on Chinese financial portal ้่็ โ VIDRAFT open-sources 'Aether-7B', fully releas", "name_zh": "Published on Chinese financial portal ้่็ โ VIDRAFT open-sources 'Aether-7B', fully releas", "group": "article"}, {"id": "m:้่็ (China)", "name": "้่็ (์ค๊ตญ)", "name_en": "้่็ (China)", "name_zh": "้่็ (China)", "group": "media"}, {"id": "a97", "name": "์๋ฌธ IT๋งค์ฒด ReasonCore, 'Aether-7B-5Attn' ์์ ๊ณต๊ฐ ์กฐ๋ช โ ๊ฐ์ค์นยทํ์ต์ฝ๋ยท๋ฐ์ดํฐ๋ ์ํผยท๋ก๊ทธยท์ฒดํฌํฌ์ธํธ ์ ๋ถ Apache-2.0๋ก ์ฌํ", "name_en": "English-language IT outlet ReasonCore highlights full disclosure of 'Aether-7B-5Attn' โ we", "name_zh": "English-language IT outlet ReasonCore highlights full disclosure of 'Aether-7B-5Attn' โ we", "group": "article"}, {"id": "m:ReasonCore (Global)", "name": "ReasonCore (์๋ฌธ)", "name_en": "ReasonCore (Global)", "name_zh": "ReasonCore (Global)", "group": "media"}, {"id": "a98", "name": "๋น๋๋ํํธ, ์์ ๊ณต๊ฐํ ํ์ด๋ฐ์ด์ ๋ชจ๋ธ ๊ณต๊ฐโฆโAI ์ฃผ๊ถ ๊ตฌํโ", "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 ์คํํธ์ ๋น๋๋ํํธ, ๋ ์ ๊ฐ๋ฐ ํ์ด๋ฐ์ด์ ๋ชจ๋ธ 'Aether-7B-5Attn' ์ ๋ดฌ", "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": "๋น๋๋ํํธ, 'AI๋ฐํคํธ' ์คํ์์ค LLM ๊ณต๊ฐโฆโ๋๊ตฌ๋ ์ฌํ ๊ฐ๋ฅํ ๋ชจ๋ธ ๊ตฌ์กฐ ์ ์โ", "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": "๋น๋๋ํํธ, ํ์ต ๊ณผ์ ๊น์ง ๊ณต๊ฐํ ํ๊ตญํ ์คํ์์ค AI ๋ชจ๋ธ ๊ณต๊ฐ", "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": "๋น๋๋ํํธ, ํ์ด๋ฐ์ด์ ๋ชจ๋ธ โAether-7B-5Attnโ ๊ณต๊ฐโฆ ํ์ต ์ฝ๋ยท๋ฐ์ดํฐ๋ ์ ๊ณต", "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": "\"ํ๊ตญํ ์ฌ๋ชจ๊ธ ์์ ๊ณต๊ฐ ๋ชจ๋ธ ๋ฑ์ฅ\"โฆ๋น๋๋ํํธ, ํ์ต ๋ ์ํผยท๋ก๊ทธ๊น์ง ๊ณต๊ฐ", "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": "๋น๋๋ํํธ, 5~11์ข ์ด์ข ์ดํ ์ ํตํฉ ์คํ ๊ธฐ๋ฐ ์คํ์์ค LLM 'Aether' ๊ณต๊ฐ", "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 ์คํํธ์ ๋น๋๋ํํธ, ์คํ์์ค ๋ชจ๋ธ 'Aether-7B-5Attn' ํ๊น ํ์ด์ค ๊ณต๊ฐ", "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": "๋น๋๋ํํธ AI ๋ชจ๋ธ โDarwinโ, ํ๊น ํ์ด์ค ๋์ ๋ค์ด๋ก๋ 100๋ง ๊ฑด ๋ํ", "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": "๊ตญ๋ด AI ์คํํธ์ ๋น๋๋ํํธ โ๋ค์โ, ๊ธ๋ก๋ฒ ๋ค์ด๋ก๋ 100๋ง ๊ฑด ๋ํ", "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": "โ์ ์ ์์์ผ๋ก ๊ณ ํจ์จโโฆ์คํํธ์ ์ด ๋ง๋ AI โ๋ค์โ, ํด์ธ์ ํตํ๋ค", "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": "โ๋ค์ ํ๊น ํ์ด์ค ๋์ ๋ค์ด๋ก๋ 100๋ง ๋ํโ โ 4์ ์ฒซ ๊ณต๊ฐ ํ 3๊ฐ์ ๋ง, 163๋ง+", "name_en": "\"Darwin's cumulative Hugging Face downloads surpass 1 million\" โ 3 months after first rele", "name_zh": "\"Darwin's cumulative Hugging Face downloads surpass 1 million\" โ 3 months after first rele", "group": "article"}, {"id": "a110", "name": "๋น๋๋ํํธ, โVKAEรVKUEโ ์ธํธ ์์ง์ผ๋ก AI IDC ์ด์ ํจ์จ ๊ทน๋ํ ์ ์", "name_en": "VIDRAFT proposes maximizing AI IDC operation efficiency with 'VKAEรVKUE' engine set", "name_zh": "VIDRAFT proposes maximizing AI IDC operation efficiency with 'VKAEรVKUE' engine set", "group": "article"}, {"id": "a111", "name": "๋น๋๋ํํธ, ๊ฑด์ถ ์ค๊ณ AI '๋น๋ฉ' ๋ฌด๋ฃ ๊ณต๊ฐ", "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": "๋น๋๋ํํธ, LLM ์ถ๋ก ๊ฐ์ ์์ง 'VKAE' ๋ฆฌ๋๋ณด๋ยทํตํฉ ์ปจํ ์ด๋ ๊ณต๊ฐ", "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": "์ดํ๋ฆฌ์ iHAL, ๋น๋๋ํํธ โVKAEโ ์กฐ๋ช โ LLM ์ถ๋ก ๊ฐ์ ์์ง ๊ณต๊ฐ", "name_en": "Italy's iHAL highlights VIDRAFT's 'VKAE' โ unveils LLM inference acceleration engine", "name_zh": "Italy's iHAL highlights VIDRAFT's 'VKAE' โ unveils LLM inference acceleration engine", "group": "article"}, {"id": "m:iHAL (Italy)", "name": "iHAL (์ดํ๋ฆฌ์)", "name_en": "iHAL (Italy)", "name_zh": "iHAL (Italy)", "group": "media"}, {"id": "a114", "name": "๋น๋๋ํํธ ๋ชจ๋ธ ๋ณํฉ ๊ธฐ์ โ๋ค์โ, ไธญ ๊ธฐ์ ๋งค์ฒด์ ์กฐ๋ช ", "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": "๋น๋๋ํํธ, IBM 156ํ๋น ์์์ปดํจํฐ๋ก ์์ ์ํธ๋ถ์ ์ค์ฆโฆ๋์นญํค ๊ตฌ์กฐ ๊ฒ์ฆ", "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": "์์์ปดํจํฐ, ์ํธ๊นจ๊ธฐ ํ์กด ํ๊ณ๋ฅผ ํ๊ตญ ์คํํธ์ ์ด ๋ํ", "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": "๋น๋๋ํํธ, ์ถ๋ก ๊ฐ์ ์์ง โVKAEโ ๊ณต๊ฐโฆ๋ฆฌ๋๋ณด๋ยทํตํฉ ์ปจํ ์ด๋ ์ ๊ณต", "name_en": "VIDRAFT unveils inference acceleration engine 'VKAE' โ provides leaderboard and integrated", "name_zh": "VIDRAFT unveils inference acceleration engine 'VKAE' โ provides leaderboard and integrated", "group": "article"}, {"id": "a118", "name": "๋ฒ ์ด์ง์์ ๋ชจ์คํฌ๋ฐ๊น์ง โ ์ธ๊ณ๊ฐ โ๋น๋๋ํํธโ๋ฅผ ์ฝ๋ค", "name_en": "From Beijing to Moscow โ the world reads 'VIDRAFT'", "name_zh": "From Beijing to Moscow โ the world reads 'VIDRAFT'", "group": "article"}, {"id": "a119", "name": "๊ธ๋ก๋ฒ Wedoany(์๋ฌธ), ๋น๋๋ํํธ VKAE ์์ง ์๊ฐ โ ์ฒ๋ฆฌ๋ ์ต๋ 23.4๋ฐฐ", "name_en": "Global Wedoany (English), introduces VIDRAFT VKAE engine โ throughput up to 23.4x", "name_zh": "Global Wedoany (English), introduces VIDRAFT VKAE engine โ throughput up to 23.4x", "group": "article"}, {"id": "m:Wedoany (China)", "name": "Wedoany (์ค๊ตญ)", "name_en": "Wedoany (China)", "name_zh": "Wedoany (China)", "group": "media"}, {"id": "a120", "name": "Wedoany(ํฌ๋ฅดํฌ๊ฐ์ด), ๋น๋๋ํํธ VKAE ์์ง ๋ณด๋ โ ์ฒ๋ฆฌ๋ ์ต๋ 23.4๋ฐฐ", "name_en": "Wedoany (Portuguese), reports on VIDRAFT VKAE engine โ throughput up to 23.4x", "name_zh": "Wedoany (Portuguese), reports on VIDRAFT VKAE engine โ throughput up to 23.4x", "group": "article"}, {"id": "a121", "name": "๋ฌ์์ AI๋น์ฆ๋์ค ๋งค์ฒด hegai.media, VKAE ๋ณด๋ โ โ์ฌํ์ฉ ์ปจํ ์ด๋๋ก ๋์ ๅ ์ง์ ๊ฒ์ฆ ๊ฐ๋ฅโ ํ๊ฐ", "name_en": "Russian AI business media hegai.media reports on VKAE โ evaluates \"can be directly verifie", "name_zh": "Russian AI business media hegai.media reports on VKAE โ evaluates \"can be directly verifie", "group": "article"}, {"id": "m:hegai.media (Russia)", "name": "hegai.media (๋ฌ์์)", "name_en": "hegai.media (Russia)", "name_zh": "hegai.media (Russia)", "group": "media"}, {"id": "a122", "name": "๋น๋๋ํํธ, LLM ์ถ๋ก ๊ฐ์ ์์ง โVKAEโ ๋ฆฌ๋๋ณด๋ยทํตํฉ ์ปจํ ์ด๋ ๊ณต๊ฐ", "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": "๋น๋๋ํํธ, ์ค์ ์์์ปดํจํฐ๋ก ๋์นญํค ์ํธ ๊ตฌ์กฐ ํด๋ ์ค์ฆ", "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": "'ํ๊น ํ์ด์ค ๊ณต๊ฐ ํํ OS ์๋ฎฌ๋ ์ดํฐ'. ์ฌ์ง=๋น๋๋ํํธ", "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": "๋น๋๋ํํธ, LLM ์ถ๋ก ๊ฐ์ ์์ง โVKAEโ ๊ณต๊ฐ โ ๋ฆฌ๋๋ณด๋ยทํตํฉ ์ปจํ ์ด๋ ์ง์", "name_en": "VIDRAFT unveils LLM inference acceleration engine 'VKAE' โ supports leaderboard and integr", "name_zh": "VIDRAFT unveils LLM inference acceleration engine 'VKAE' โ supports leaderboard and integr", "group": "article"}, {"id": "a126", "name": "๋ฌ์์ IT ๊ถ์์ง iXBT, ๋น๋๋ํํธ โVKAEโ ๋ณด๋ โ ๋จ์ผ NVIDIA B200 GPU๋ก AI ์ถ๋ก ์ต๋ 23๋ฐฐ ๊ฐ์", "name_en": "Russian IT authority iXBT reports on VIDRAFT's 'VKAE' โ accelerates AI inference up to 23x", "name_zh": "Russian IT authority iXBT reports on VIDRAFT's 'VKAE' โ accelerates AI inference up to 23x", "group": "article"}, {"id": "m:iXBT.com (Russia)", "name": "iXBT.com (๋ฌ์์)", "name_en": "iXBT.com (Russia)", "name_zh": "iXBT.com (Russia)", "group": "media"}, {"id": "a127", "name": "๋ฌ์์ RusNews, VKAE ์กฐ๋ช โ ๋จ์ผ GPU B200์ ์ถ๋ก 23๋ฐฐยทQwen3.5 1๋ง ํ ํฐ/์ด", "name_en": "Russia's RusNews highlights VKAE โ 23x inference on single B200 GPU, Qwen3.5 at 10,000 tok", "name_zh": "Russia's RusNews highlights VKAE โ 23x inference on single B200 GPU, Qwen3.5 at 10,000 tok", "group": "article"}, {"id": "m:RusNews (Russia)", "name": "RusNews (๋ฌ์์)", "name_en": "RusNews (Russia)", "name_zh": "RusNews (Russia)", "group": "media"}, {"id": "a128", "name": "์ฐ์ฆ๋ฒ ํค์คํ One.uz, VKAE ๋ณด๋ โ GPU ํจ์จ 23๋ฐฐ ํฅ์, ์ค์์์์๋ก ํ์ฐ", "name_en": "Uzbekistan's One.uz reports on VKAE โ 23x GPU efficiency improvement, spreading to Central", "name_zh": "Uzbekistan's One.uz reports on VKAE โ 23x GPU efficiency improvement, spreading to Central", "group": "article"}, {"id": "m:One.uz (Uzbekistan)", "name": "One.uz (์ฐ์ฆ๋ฒ ํค์คํ)", "name_en": "One.uz (Uzbekistan)", "name_zh": "One.uz (Uzbekistan)", "group": "media"}, {"id": "a129", "name": "์ฐ์ฆ๋ฒ ํค์คํ Zamin.uz, VKAE ๋ณด๋ โ ๋จ์ผ NVIDIA B200 GPU๋ก ์ฑ๋ฅ ์ต๋ 23๋ฐฐ", "name_en": "Uzbekistan's Zamin.uz reports on VKAE โ up to 23x performance on a single NVIDIA B200 GPU", "name_zh": "Uzbekistan's Zamin.uz reports on VKAE โ up to 23x performance on a single NVIDIA B200 GPU", "group": "article"}, {"id": "m:Zamin.uz (Uzbekistan)", "name": "Zamin.uz (์ฐ์ฆ๋ฒ ํค์คํ)", "name_en": "Zamin.uz (Uzbekistan)", "name_zh": "Zamin.uz (Uzbekistan)", "group": "media"}, {"id": "a130", "name": "๋ฌ์์ IT๋งค์ฒด itzine, VKAE ๋ณด๋ โ ๋จ์ผ NVIDIA B200์ AI ์ถ๋ก 23๋ฐฐ ๊ฐ์", "name_en": "Russian IT outlet itzine reports on VKAE โ 23x AI inference acceleration on a single NVIDI", "name_zh": "Russian IT outlet itzine reports on VKAE โ 23x AI inference acceleration on a single NVIDI", "group": "article"}, {"id": "m:itzine.ru (Russia)", "name": "itzine.ru (๋ฌ์์)", "name_en": "itzine.ru (Russia)", "name_zh": "itzine.ru (Russia)", "group": "media"}, {"id": "a131", "name": "๋ฌ์์ ํ๋ณดํ ์ง์ญ๋งค์ฒด vTambove, VKAE ๋ณด๋ โ ์ ๊ท ์ฅ๋น ์์ด ์ถ๋ก 23๋ฐฐ", "name_en": "Russian Tambov regional outlet vTambove reports on VKAE โ 23x inference without new hardwa", "name_zh": "Russian Tambov regional outlet vTambove reports on VKAE โ 23x inference without new hardwa", "group": "article"}, {"id": "m:vTambove (Russia)", "name": "vTambove (๋ฌ์์)", "name_en": "vTambove (Russia)", "name_zh": "vTambove (Russia)", "group": "media"}, {"id": "a132", "name": "๋ฌ์์ Podolyaka, VKAE ๋ณด๋ โ ๋จ์ผ GPU๋ก AI ์ถ๋ก 23๋ฐฐ ๊ฐ์", "name_en": "Russian outlet Podolyaka reports on VKAE โ 23x AI inference acceleration on a single GPU", "name_zh": "Russian outlet Podolyaka reports on VKAE โ 23x AI inference acceleration on a single GPU", "group": "article"}, {"id": "m:Podolyaka (Russia)", "name": "Podolyaka (๋ฌ์์)", "name_en": "Podolyaka (Russia)", "name_zh": "Podolyaka (Russia)", "group": "media"}, {"id": "a133", "name": "์คํ๊ถ AI ํ๋ซํผ HyperAI, ๋น๋๋ํํธ โFINAL Benchโ ๋ ผ๋ฌธ ์๋ก โ LLM ๋ฉํ์ธ์ง ๋ฒค์น๋งํฌ", "name_en": "Greater China AI platform HyperAI features VIDRAFT's 'FINAL Bench' paper โ LLM metacogniti", "name_zh": "Greater China AI platform HyperAI features VIDRAFT's 'FINAL Bench' paper โ LLM metacogniti", 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"name": "๋น๋๋ํํธ, 'GPU ์ถ๊ฐ ํ์ต' ๊ณผ์ ์์ด ์ถ๋ก ์ฑ๋ฅ ๊ฐ์ง AI ๋ชจ๋ธ ๊ฐ๋ฐ", "name_en": "VIDRAFT develops AI model with inference performance without 'additional GPU training' pro", "name_zh": "VIDRAFT develops AI model with inference performance without 'additional GPU training' pro", "group": "article"}, {"id": "a172", "name": "ไธญ ็งๆ่ก่ (TechWalker), ๋น๋๋ํํธ โ๋ค์โ ์กฐ๋ช โ ์ถ๊ฐ ํ์ต ์์ด โ์ ์ ์ ์ฌ์กฐํฉโ์ผ๋ก ์ง๋ฅ ๋์ฝ", "name_en": "China's TechWalker (็งๆ่ก่ ) spotlights VIDRAFT's 'Darwin' โ intelligence leap through 'gene ", "name_zh": "China's TechWalker (็งๆ่ก่ ) spotlights VIDRAFT's 'Darwin' โ intelligence leap through 'gene ", "group": "article"}, {"id": "m:TechWalker (China)", "name": "TechWalker (์ค๊ตญ)", "name_en": "TechWalker (China)", "name_zh": "TechWalker (China)", "group": "media"}, {"id": "a173", "name": "์ค๊ตญ ์ต๋ ํฌํธ ํ ์ผํธ ๋ด์ค(่ พ่ฎฏๆฐ้ป), ๋น๋๋ํํธ โDarwin ํจ๋ฐ๋ฆฌโ ์กฐ๋ช โ โํ๋ จ ์์ด ์ ์ ์ ์ฌ์กฐํฉ์ผ๋ก AI ๋ฅ๋ ฅ ๋์ฝโ", "name_en": "China's largest portal Tencent News (่ พ่ฎฏๆฐ้ป) spotlights VIDRAFT's 'Darwin Family' โ \"AI capa", "name_zh": "China's largest portal Tencent News (่ พ่ฎฏๆฐ้ป) spotlights VIDRAFT's 'Darwin Family' โ \"AI capa", "group": "article"}, {"id": "a174", "name": "๋น๋๋ํํธ, ์ถ๊ฐ ํ์ต ์๋ ๊ณ ์ฑ๋ฅ AI ๊ธฐ์ ๋ฐํ", "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": "์์ธ๊ฒฝ์ TV", "name_en": "Seoul Economic TV", "name_zh": "Seoul Economic TV", "group": "media"}, {"id": "a175", "name": "๋น๋๋ํํธ, GPU ์ฌํ์ต ์๋ LLM ํ๋ ์์ํฌ โDarwin Familyโ ๊ธฐ์ ๊ณต๊ฐ", "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": "์์ธ์ ๋ฌธ", "name_en": "Seoul Shinmun", "name_zh": "Seoul Shinmun", "group": "media"}, {"id": "a176", "name": "ํ๊ตญ ์คํํธ์ ๋น๋๋ํํธ, GPU ์ถ๊ฐ ํ์ต ์์ด ๊ธ๋ก๋ฒ AI ์ถ๋ก ์ฑ๋ฅ 3์ ๊ธฐ๋ก", "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": "ํ๊ตญ ์คํํธ์ , GPU ํ์ต ์์ด AI ์ธ๊ณ 3์ ๊ธฐ๋ก", "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 ์์ด AI๊ฐ ์ค์ค๋ก ์งํํ๋ค? ํ๊ตญ ์ฐ๊ตฌํ ์ฆ๋ช ", "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": "ํ๊น ํ์ด์ค ๊ณต์ธ ๋ฆฌ๋๋ณด๋, ์์ 21๊ฐ ๋ชจ๋ธ์ ไธญ 16๊ฐยท้ ๋น๋๋ํํธ 5๊ฐ", "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": "ํํ ํ์์ฌ ๋น๋๋ํํธ, HF ๊ณต์ธ GPQA Top 21 ์ค 5๊ฐ ์ ์ ยท๋ค์ ๋จ๋ ์ ์ ยทK-AI ๋ฆฌ๋๋ณด๋ ์์๊ถ", "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": "ํ๊ตญ๊ฐ์๊ธฐ์ ํํ", "name_en": "Korea Small Giant Enterprises Association", "name_zh": "Korea Small Giant Enterprises Association", "group": "media"}, {"id": "a181", "name": "ํ๊น ํ์ด์ค ๊ณต์ธ ๋ฆฌ๋๋ณด๋, ์ค๊ตญ ์ค์ฌ ์ฌํธโฆํ๊ตญ์ ๋น๋๋ํํธ ์ฝ์ง", "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": "๋๋ง BigGo Finance, HF GPQA ๋ฆฌ๋๋ณด๋์ ๋น๋๋ํํธ โDarwinโ 5์ข ์กฐ๋ช โ ้ ์ง์ ์ ๋ถ Darwin", "name_en": "Taiwan's BigGo Finance spotlights VIDRAFT's 5 'Darwin' models on HF GPQA leaderboard โ all", "name_zh": "Taiwan's BigGo Finance spotlights VIDRAFT's 5 'Darwin' models on HF GPQA leaderboard โ all", "group": "article"}, {"id": "m:BigGo Finance (Taiwan)", "name": "BigGo Finance (๋๋ง)", "name_en": "BigGo Finance (Taiwan)", "name_zh": "BigGo Finance (Taiwan)", "group": "media"}, {"id": "a183", "name": "ํ๊น ํ์ด์ค, Gpqa๋ฒค์น๋งํฌ ์์ 21์ ์กฐ์ฌ๊ฒฐ๊ณผ ์ถฉ๊ฒฉ", "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": "๋น๋๋ํํธ, ๋ธ๋ผ์ฐ์ ๊ธฐ๋ฐ ๋ก์ปฌ AI 'ํ์' ๊ณต๊ฐโฆ๋ฐ์ดํฐ ์ฃผ๊ถํ ์๋น์ค ์ ์", "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": "๋น๋๋ํํธ, ๋ธ๋ผ์ฐ์ ๊ธฐ๋ฐ ๋ก์ปฌAI โํ์โ ๊ณต๊ฐโฆ์คํ๋ผ์ธ ํ๊ฒฝ์ ๋ฌธ์ ์ฒ๋ฆฌ", "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": "์์์ํฌ๋ฐ์ด", "name_en": "Asia Today", "name_zh": "Asia Today", "group": "media"}, {"id": "a186", "name": "๋น๋๋ํํธ, ๋ธ๋ผ์ฐ์ ๊ธฐ๋ฐ ๋ก์ปฌ AI โํ์โ ๊ณต๊ฐโฆ์คํ๋ผ์ธ ํ๊ฒฝ์ ๋ฌธ์ ์ฒ๋ฆฌ ์ง์", "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": "๋น๋๋ํํธ ๋ธ๋ผ์ฐ์ ์์ ๊ตฌ๋๋๋ ์์ ๋ก์ปฌ AI 'ํ์(้ๅฎ)' ๊ณต๊ฐ", "name_en": "VIDRAFT unveils fully local AI 'Hansu (้ๅฎ)' that runs in browser", "name_zh": "VIDRAFT unveils fully local AI 'Hansu (้ๅฎ)' that runs in browser", "group": "article"}, {"id": "a188", "name": "๋น๋๋ํํธ, ๋ธ๋ผ์ฐ์ ๊ธฐ๋ฐ ๋ก์ปฌ AI โํ์โ ๊ณต๊ฐโฆ๋ฐ์ดํฐ ์ฃผ๊ถํ ์ ๋ฌด AI ์ ์", "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": "์ง๋์ AI, 'K-AI ๋ฆฌ๋๋ณด๋' 2์โฆ์ฒจ๋จ GPU ํ์ฉ ์ง์ ์ฌ์ ์ ์ ", "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": "์ธ๊ณ ์ต์ด ๋ฉํฐ๋ชจ๋ฌ๋ฆฌํฐ ์ด์ข ์ ์ด ๋ชจ๋ธ ๊ณต๊ฐ", "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": "์ง๋์ AI, โK-AI ๋ฆฌ๋๋ณด๋โ ์ข ํฉ 2์ ๋ฐ โ์ฒจ๋จ GPU ํ์ฉ ์ง์ ์ฌ์ โ ๋์ ์ ์ ", "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": "๋งค์ผ๊ฒฝ์ ", "name_en": "Maeil Business", "name_zh": "Maeil Business", "group": "media"}, {"id": "a192", "name": "AI ๋ชจ๋ธ๋ ๊ต๋ฐฐ๋ฅผ ํ๋ค? โ ํ์ต ์์ด ์ธ๊ณ 5์๋ฅผ", "name_en": "Do AI models interbreed too? โ Reaching world No. 5 without training", "name_zh": "Do AI models interbreed too? โ Reaching world No. 5 without training", "group": "article"}, {"id": "a193", "name": "๊น๋ฏผ์ ๋น๋๋ํํธ ๋ํ. ์ฌ์ง=๋น๋๋ํํธ", "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": "๋น๋๋ํํธ, ์ฒดํ AI ์๋ ๋ชจ๋ธ 'PROMETHEUS' ๊ณต๊ฐ", "name_en": "VIDRAFT unveils embodied AI world model 'PROMETHEUS'", "name_zh": "VIDRAFT unveils embodied AI world model 'PROMETHEUS'", "group": "article"}, {"id": "a195", "name": "์๋ก ๋ค๋ฅธ LLM 2๊ฐ๋ฅผ ๊ต๋ฐฐํ๊ณ ์งํํ์ฌ ์์์ ๋ณ๋ค", "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": "๋น๋๋ํํธ, ์ฒดํ AI ์๋ ๋ชจ๋ธ โํ๋ก๋ฉํ ์ฐ์คโ ๊ณต๊ฐ", "name_en": "VIDRAFT unveils embodied AI world model 'Prometheus'", "name_zh": "VIDRAFT unveils embodied AI world model 'Prometheus'", "group": "article"}, {"id": "a197", "name": "AI ๋ชจ๋ธ๋ '๊ต๋ฐฐ'๊ฐ ๋๋ค๊ณ ? ๋ถ๋ชจ๋ณด๋ค ๋๋ํ ์์!", "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": "LLM์ ์ด์ ๋๋ฌผ์ด๋ค. ์๋๋ชจ๋ธ์ด AGI๋ฅผ ์ด๋ฐ์ํจ๋ค", "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": "AI์ ๋๋ฅผ ๋ค์ฌ๋ค๋ณด๋ค โ ํ๊ตญ์ด LLM MRI ๋ง๋ค๋ค", "name_en": "Looking into the brain of AI โ Korea creates an LLM MRI", "name_zh": "Looking into the brain of AI โ Korea creates an LLM MRI", "group": "article"}, {"id": "a200", "name": "SiteAgent, ๋ธ๋ผ์ฐ์ AI ์์ด์ ํธ ๋ฑ์ฅ", "name_en": "SiteAgent, a browser AI agent, emerges", "name_zh": "SiteAgent, a browser AI agent, emerges", "group": "article"}, {"id": "a201", "name": "HWP๋ฅผ ์ฝ์ผ๋ ค๋ค HWP๋ฅผ ๊ฐ์ํ๊ฒ ๋์ต๋๋ค", "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": "์ง๋์ AI, ์ํ AI๋ชจ๋ธ ์ ์ฉํ๊ฐ์ฒด๊ณ ๊ณต๊ฐโฆํ๊น ํ์ด์ค ์คํ์ด์คยท๋ฐ์ดํฐ์ 10์๊ถ ๋์ ์ง์ ", "name_en": "GenieGenAI unveils dedicated evaluation system for small AI modelsโฆsimultaneously enters t", "name_zh": "GenieGenAI unveils dedicated evaluation system for small AI modelsโฆsimultaneously enters t", "group": "article"}, {"id": "a203", "name": "๋น๋๋ํํธ, LLM ํ๊ฐ ์ค์ด๋ AI ์ถ๋ก ๋ฏธ๋ค์จ์ด โMARLโ ์ ์ธ๊ณ ๋์ ๊ณต๊ฐ", "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": "๋น๋๋ํํธ, ํ๊ฐ ์ค์ด๋ ์ถ๋ก ๋ฏธ๋ค์จ์ด 'MARL' ์ ์ธ๊ณ ๋์ ๊ณต๊ฐ", "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 ๋น๋๋ํํธ, ํ๊ฐ ์ค์ด๋ ์ถ๋ก ๋ฏธ๋ค์จ์ด MARL ์ ์ธ๊ณ ๋์ ๊ณต๊ฐ", "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": "์จ์ดํ๋ธ-๋น๋๋ํํธ, ์ ๋ต์ ์ ๋ฌดํ์ฝ ๋ฐ ๊ณต๋์ฐ๊ตฌ๊ฐ๋ฐ ๊ณ์ฝ", "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": "์จ์ดํ๋ธ, AI ๋น๋๋ํํธ์ ์ ๋ต์ ์ ๋ฌด ํ์ฝ ๋ฐ ๊ณต๋์ฐ๊ตฌ๊ฐ๋ฐ ๊ณ์ฝ", "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": "AI๊ฐ \"๋ชจ๋ฅด๊ฒ ์ต๋๋ค\"๋ผ๊ณ ๋งํ ์ ์๊ฒ ๋ ๋ ", "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(์ธ๊ณต ์ฌํ)๋ฅผ ๋ง๋ค๋ค", "name_en": "Creating an Artificial Society", "name_zh": "Creating an Artificial Society", "group": "article"}, {"id": "a210", "name": "๋น๋๋ํํธ, AI ๋ฉํ์ธ์ง ๋ฒค์น๋งํฌ 'FINAL Bench' ๊ณต๊ฐ", "name_en": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'", "name_zh": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'", "group": "article"}, {"id": "a211", "name": "๋น๋๋ํํธ, AI ๋ฉํ์ธ์ง ํ๊ฐ ๋ฒค์น๋งํฌ โFINAL Benchโ ๊ณต๊ฐ", "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": "์์์๊ฒฝ์ ", "name_en": "Asia Economy", "name_zh": "Asia Economy", "group": "media"}, {"id": "a212", "name": "๋น๋๋ํํธ, AI ๋ฉํ์ธ์ง ๋ฒค์น๋งํฌ โFINAL Benchโ ๊ณต๊ฐ", "name_en": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'", "name_zh": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'", "group": "article"}, {"id": "a213", "name": "๋น๋๋ํํธ โGPTยท์ ๋ฏธ๋์ดยทํด๋ก๋, ์๊ธฐ ์ค์ ๋ชป ๊ณ ์น๋คโ", "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": 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"rel_en": "mentions", "rel_zh": "ๆๅ"}, {"source": "a183", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a183", "target": "t:leaderboard", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a183", "target": "t:benchmark", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a183", "target": "e:GPQA", "rel": "์ธ๊ธ", "rel_en": "mentions", "rel_zh": "ๆๅ"}, {"source": "a184", "target": "m:Electronic Times", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a184", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a185", "target": "m:Asia Today", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a185", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a186", "target": "m:v.daum.net", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a186", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a187", "target": "m:v.daum.net", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a187", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a188", "target": "m:Economist Korea", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a188", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a189", "target": "m:Electronic Times", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a189", "target": "t:leaderboard", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a189", "target": "t:business", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a190", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a190", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a190", "target": "t:model", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a191", "target": "m:Maeil Business", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a191", "target": "t:leaderboard", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a191", "target": "t:business", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a192", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a192", "target": "t:model", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a193", "target": "m:Electronic Times", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a193", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a194", "target": "m:Electronic Times", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a194", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a194", "target": "t:model", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a195", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a195", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a196", "target": "m:IT Chosun", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a196", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a196", "target": "t:model", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a197", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a197", "target": "t:model", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a198", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a198", "target": "t:model", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a199", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a199", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a200", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a200", "target": "t:agent", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a201", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a201", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a202", "target": "m:Electronic Times", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a202", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a202", "target": "t:model", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a203", "target": "m:Economist Korea", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a203", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a204", "target": "m:Behind", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a204", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a205", "target": "m:Digital Times", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a205", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a206", "target": "m:v.daum.net", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a206", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a207", "target": "m:Maeil Business", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a207", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a208", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a208", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a209", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a209", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a210", "target": "m:Electronic Times", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a210", "target": "t:benchmark", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a210", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a210", "target": "e:Metacognition", "rel": "์ธ๊ธ", "rel_en": "mentions", "rel_zh": "ๆๅ"}, {"source": "a211", "target": "m:Asia Economy", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a211", "target": "t:benchmark", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a211", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a211", "target": "e:Metacognition", "rel": "์ธ๊ธ", "rel_en": "mentions", "rel_zh": "ๆๅ"}, {"source": "a212", "target": "m:Seoul Shinmun", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a212", "target": "t:benchmark", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a212", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a212", "target": "e:Metacognition", "rel": "์ธ๊ธ", "rel_en": "mentions", "rel_zh": "ๆๅ"}, {"source": "a213", "target": "m:IT Chosun", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a213", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a214", "target": "m:Behind", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a214", "target": "t:benchmark", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a214", "target": "t:dataset", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a214", "target": "e:Metacognition", "rel": "์ธ๊ธ", "rel_en": "mentions", "rel_zh": "ๆๅ"}, {"source": "a215", "target": "m:ANVI (Israel)", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a215", "target": "t:benchmark", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a216", "target": "m:IT Chosun", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a216", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a217", "target": "m:IT Chosun", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a217", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a218", "target": "m:IT Chosun", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a218", "target": "t:business", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a218", "target": "e:NIPA", "rel": "์ธ๊ธ", "rel_en": "mentions", "rel_zh": "ๆๅ"}, {"source": "a219", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a219", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a220", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a220", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a221", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a221", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a222", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a222", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a223", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a223", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a224", "target": "m:Digital Chosun", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a224", "target": "t:on-device", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a225", "target": "m:Digital Chosun", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a225", "target": "t:on-device", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "a226", "target": "m:Brunch", "rel": "๋ณด๋", "rel_en": "published in", "rel_zh": "ๆฅ้"}, {"source": "a226", "target": "t:etc", "rel": "์ฃผ์ ", "rel_en": "topic", "rel_zh": "ไธป้ข"}, {"source": "e:Darwin", "target": "e:AIME", "rel": "์ํ ๋ง์ 1์", "rel_en": "1st, perfect", "rel_zh": "ๆฐๅญฆๆปกๅ็ฌฌไธ"}, {"source": "e:Darwin", "target": "e:HMMT", "rel": "์ํ ๋ง์ 1์", "rel_en": "1st, perfect", "rel_zh": "ๆฐๅญฆๆปกๅ็ฌฌไธ"}, {"source": "e:Darwin", "target": "e:GPQA", "rel": "500Bโ 1์", "rel_en": "1st (<500B)", "rel_zh": "500Bไปฅไธ็ฌฌไธ"}, {"source": "e:ZTC", "target": "e:S1MB", "rel": "์ข ํฉ 1์", "rel_en": "#1 overall", "rel_zh": "็ปผๅ็ฌฌไธ"}, {"source": "e:ZTC", "target": "e:typed-decisions", "rel": "1์", "rel_en": "#1", "rel_zh": "็ฌฌไธ"}, {"source": "e:Darwin", "target": "e:ExtractBench", "rel": "1์", "rel_en": "#1", "rel_zh": "็ฌฌไธ"}, {"source": "e:Darwin", "target": "e:Polaris", "rel": "์ธ๊ณ 1์(16๋ถ๋ฌธ)", "rel_en": "world #1 (16)", "rel_zh": "ไธ็็ฌฌไธ(16้กน)"}, {"source": "e:ZTC", "target": "e:Metacognition", "rel": "1์", "rel_en": "#1", "rel_zh": "็ฌฌไธ"}, {"source": "e:JEV", "target": "e:S1MB", "rel": "2~5์", "rel_en": "#2-5", "rel_zh": "็ฌฌ2-5"}, {"source": "e:TypeSafe AI", "target": "e:JEV", "rel": "๊ฐ๋ฐ", "rel_en": "develops", "rel_zh": "ๅผๅ"}, {"source": "e:Darwin", "target": "e:ZTC", "rel": "ํ์ ์์ง", "rel_en": "judge engine", "rel_zh": "ๅคๅฎๅผๆ"}, {"source": "e:Darwin", "target": "t:rsi", "rel": "์๊ฐ๊ฐ์ ", "rel_en": "self-improve", "rel_zh": "่ชๆๆน่ฟ"}]}; | |
| // ===== ๋ค๊ตญ์ด ===== | |
| let LANG=(navigator.language||"en").slice(0,2);if(!["ko","en","zh"].includes(LANG))LANG="en"; | |
| const STR={ | |
| ko:{title:"ONGRID",sub:"<b>์จํจ๋ก์ง ยท ๊ทธ๋ํ ยท ๋์์ (ZTC)</b> ํตํฉ ์ง์์์ง. ๋ฌธ์๋ฅผ 3D ์จํจ๋ก์ง ๊ทธ๋ํ๋ก ๊ตฌ์ฑํ๊ณ , ์ง์ํ๋ฉด ๊ทธ๋ํ ๊ทผ๊ฑฐ๋ก LLM์ด ๋ตํ๋ฉฐ <b>ZTC๊ฐ 0ํ ํฐ์ผ๋ก ๊ฒ์ฆ</b>ํฉ๋๋ค.<br>๋ฐ์ดํฐ: vidraft.net ๋ณด๋ 227๊ฑด ยท by VIDRAFT", | |
| upload:"๐ ๋ด ๋ฌธ์ ์ ๋ก๋ ยท ์๋ ๊ทธ๋ํํ",demo:"โบ ์ํ(๋ณด๋์๋ฃ)๋ก ๋์๊ฐ๊ธฐ",askph:"์ง์ ํ๋กฌํํธ (์: S1MB 1์ ๋ชจ๋ธ?)",askb:"์ง์", | |
| exlabel:"์์ ์ง์ (ํด๋ฆญ)",searchph:"๋ ธ๋ ๊ฒ์โฆ",busy:"๋ถ์ยท์ธ๋ฑ์ฑ ์คโฆ",thinking:"๊ธฐ์ฌ ๊ทผ๊ฑฐ๋ก LLM ๋ต๋ณ ์์ฑ ์คโฆ", | |
| noconn:"LLM ์๋ฒ์ ์ฐ๊ฒฐํ ์ ์์ต๋๋ค.",evid:"๊ทผ๊ฑฐ ยท ๊ทธ๋ํ ์ฌ์ค",nofact:"๊ด๋ จ ์ฌ์ค์ ์ฐพ์ง ๋ชปํ์ต๋๋ค.", | |
| sN:"๋ ธ๋",sL:"๊ด๊ณ",sD:"๋ฌธ์",sT:"์์ธ์ด",conn:"์ฐ๊ฒฐ", | |
| hint:"๋๋๊ทธ ํ์ ยท ํ ํ๋ ยท ๋ ธ๋ ํด๋ฆญ = ์์ธ ยท ๋ฒ๋ก = ๊ทธ๋ฃน ์จ๊น<br>์ง์ํ๋ฉด ๊ทธ๋ํ์์ ๊ด๋ จ ๊ธฐ์ฌยท์ฌ์ค์ ์ฐพ์ ๊ทธ ๊ทผ๊ฑฐ๋ก๋ง LLM์ด ๋ตํฉ๋๋ค. ๋ด ๋ฌธ์๋ฅผ ์ฌ๋ฆฌ๋ฉด ๊ทธ ๋ฌธ์๋ก ๊ทธ๋ํ๊ฐ ๋ฐ๋๋๋ค.", | |
| ex:["S1MB์์ 1์ํ ๋ชจ๋ธ์?","Darwin์ ์์ ์ค์ ์?","AX-RAY๋ ๋ฌด์์ธ๊ฐ?","๋ณด์ ๊ด๋ จ ์์์?","์๊ฐ๊ฐ์ (RSI)์ด๋?","POCKET์ ๋ฌด์์ธ๊ฐ?"]}, | |
| en:{title:"ONGRID",sub:"<b>Ontology ยท Graph ยท 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 ยท by VIDRAFT", | |
| upload:"๐ Upload my docs ยท auto graph",demo:"โบ Back to sample (press)",askph:"Ask (e.g. which model tops S1MB?)",askb:"Ask", | |
| exlabel:"Example queries (click)",searchph:"Search nodesโฆ",busy:"Analyzing & indexingโฆ",thinking:"LLM answering from article factsโฆ", | |
| noconn:"Cannot reach the LLM server.",evid:"Evidence ยท graph facts",nofact:"No related facts found.", | |
| sN:"Nodes",sL:"Links",sD:"Docs",sT:"Terms",conn:"Links", | |
| hint:"Drag to rotate ยท wheel to zoom ยท click a node for detail ยท 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>ๆฌไฝ ยท ๅพ่ฐฑ ยท ๅณ็ญ(ZTC)</b> ๅผๆใๆๆกฃๆๅปบไธบ3Dๆฌไฝๅพ่ฐฑ๏ผๅบไบๅพ่ฐฑไบๅฎไฝ็ญๅนถ<b>็ฑZTC้ถtoken้ช่ฏ</b>ใ<br>ๆฐๆฎ๏ผๆฅ้227ๆก ยท by VIDRAFT", | |
| upload:"๐ ไธไผ ๆ็ๆๆกฃ ยท ่ชๅจๅพ่ฐฑ",demo:"โบ ่ฟๅ็คบไพ๏ผๆฅ้๏ผ",askph:"ๆ้ฎ๏ผไพ๏ผๅชไธชๆจกๅๅจS1MB็ฌฌไธ๏ผ๏ผ",askb:"ๆ้ฎ", | |
| exlabel:"็คบไพ้ฎ้ข๏ผ็นๅป๏ผ",searchph:"ๆ็ดข่็นโฆ",busy:"ๅๆไธ็ดขๅผไธญโฆ",thinking:"LLM ๆญฃๆ นๆฎๆ็ซ ไบๅฎไฝ็ญโฆ", | |
| noconn:"ๆ ๆณ่ฟๆฅLLMๆๅกๅจใ",evid:"ไพๆฎ ยท ๅพ่ฐฑไบๅฎ",nofact:"ๆชๆพๅฐ็ธๅ ณไบๅฎใ", | |
| sN:"่็น",sL:"ๅ ณ็ณป",sD:"ๆๆกฃ",sT:"็ดขๅผ่ฏ",conn:"่ฟๆฅ", | |
| hint:"ๆๅจๆ่ฝฌ ยท ๆป่ฝฎ็ผฉๆพ ยท ็นๅป่็น็่ฏฆๆ ยท ๅพไพๅๆขๅ็ป<br>ๆ้ฎๆถๆฃ็ดข็ธๅ ณๆ็ซ /ไบๅฎ๏ผLLM ไป ๆฎๆญคไฝ็ญใไธไผ ๆๆกฃๅฏ้ๅปบๅพ่ฐฑใ", | |
| ex:["ๅชไธชๆจกๅๅจS1MBๆ็ฌฌไธ?","Darwin่ทๅพไบไปไนๅฅ?","AX-RAYๆฏไปไน?","ๅฎๅ จ็ธๅ ณๆฐ้ป?","RSIๆฏไปไน?","POCKETๆฏไปไน?"]} | |
| }; | |
| function L(k){return (STR[LANG]||STR.en)[k];} | |
| function nm(n){return (LANG==="ko"?n.name:LANG==="zh"?(n.name_zh||n.name_en||n.name):(n.name_en||n.name))||n.name;} | |
| function rl(l){return (LANG==="ko"?l.rel:LANG==="zh"?(l.rel_zh||l.rel_en||l.rel):(l.rel_en||l.rel))||l.rel;} | |
| function setGroups(map){GROUPS={};Object.keys(map).forEach((k,i)=>{const v=map[k]; | |
| const label=(v&&typeof v==="object")?(v[LANG]||v.en||k):v;GROUPS[k]={label,color:PAL[i%PAL.length]};});} | |
| const gcol=g=>(GROUPS[g]||{color:"#88a"}).color; | |
| const idStr=x=>typeof x==="object"?x.id:x; | |
| const esc=s=>(s||"").replace(/[&<>]/g,c=>({"&":"&","<":"<",">":">"}[c])); | |
| function dimmed(n){if(hidden.has(n.group))return true;if(focusSet&&!focusSet.has(n.id))return true;return false;} | |
| function ncolor(n){return dimmed(n)?"rgba(120,130,160,0.18)":gcol(n.group);} | |
| 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;} | |
| // ๊ทธ๋ฃน๋ณ ์ค์ฌ์ผ๋ก ๋น๊ฒจ ์๊น ํด๋ฌ์คํฐ๋ฅผ ํ์ฑ | |
| 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||"โ"; | |
| 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'>์ด ๋ธ๋ผ์ฐ์ ์์ WebGL(3D)์ ์ธ ์ ์์ต๋๋ค.<br>์ด๋ฆฐ ํญ์ ์ค์ด๊ฑฐ๋ ๋ธ๋ผ์ฐ์ ๋ฅผ ์๋ก ์ผ ๋ค ์๋ก๊ณ ์นจํด ์ฃผ์ธ์.</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)); // ๊ทธ๋ฃน๋ณ ๋ญ์นจ(ํด๋ฌ์คํฐ) | |
| 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 ๋ ๋๋ง์ ์์ํ ์ ์์ต๋๋ค ("+((e&&e.message)||e)+").<br>ํญ์ ์ค์ด๊ฑฐ๋ ๋ธ๋ผ์ฐ์ ๋ฅผ ์๋ก ์ผ ๋ค ์๋ก๊ณ ์นจํด ์ฃผ์ธ์.</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:"๊ธฐํ",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||"(์ฐ๊ฒฐ ๊ด๊ณ๋ก ์ ์๋๋ ๊ฐ๋ )"; | |
| 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?"":"โ ")+esc(c.rel)+(c.out?" โ":"")+"</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);}); | |
| // ===== ์์ฑ ์ฐ์ถ: ํ๋์ + ์นด๋ฉ๋ผ ํ๋ผ์ด์ธ + ์นด์ดํธ์ (three ๋ถํ์) ===== | |
| 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); | |
| } | |
| // ===== ์ ๋ก๋ โ ์๋ ์จํจ๋ก์ง ===== | |
| 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("๋ถ์ ์คํจ: "+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(/(?<=[.!?ใ๏ผ๏ผ\n])\s+|[\nยทโข]+/).map(s=>s.trim()).filter(s=>s.length>2&&s.length<400);} | |
| function toks(s){return (s.toLowerCase().match(/[a-z0-9]+|[๊ฐ-ํฃ]{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"], | |
| [/(.+?)(?:๋|์|์ด|๊ฐ)\s*(.+?)(?:์ด๋ค|๋ค|์ด๋ผ|์ ๋๋ค|์ด์์|์์)/,"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:"์ข ๋ฅ(IsA)",UsedFor:"์ฐ์(UsedFor)",HasA:"๋ณด์ (HasA)",CapableOf:"๋ฅ๋ ฅ(CapableOf)",PartOf:"๋ถ๋ถ(PartOf)",RelatedTo:"์ฐ๊ด(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}; | |
| } | |
| // ===== ์ง์: ๊ทธ๋ํ์์ ๊ด๋ จ ์ฌ์ค ๊ฒ์ โ LLM์ด ๊ทผ๊ฑฐ ๊ธฐ๋ฐ ๋ต๋ณ (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;} | |
| // ===== ์ธ์ด ์ ์ฉ ===== | |
| 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); // ํ์ฌ ๋ฐ์ดํฐ(์ํ/์ ๋ก๋)๋ฅผ ์ ์ธ์ด๋ก ์ฌ๊ตฌ์ฑ | |
| } | |
| [...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,}|[๊ฐ-ํฃ]{2,}|[ไธ-้ฟฟ]{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) ์ง์์ด โ ๋ ธ๋์ ๋ชจ๋ ์ธ์ด ์ด๋ฆ ๋งค์นญ (์ ํ>๋จ์ด>๋ถ๋ถ) | |
| 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; // ํ ํฐ์ด ๋ ธ๋๋ช ํฌํจ (ํ๊ตญ์ด ์กฐ์ฌ ๋ฑ: "์์๊ด๋ จ"โ"์์") | |
| 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))+" โ "+l.rel+" โ "+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); | |
| // ๊ทธ๋ํ ํฌ์ปค์ฑ | |
| 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||"โฆ";} | |
| 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 ํ์ </div><span id='ztcbadge' style='color:var(--muted)'>ZTC-Judge ๊ฒ์ฆ ์คโฆ</span>"; | |
| ans.innerHTML=html; | |
| // ZTC-Judge(ZeroGPU)๋ก ๋ต๋ณ ์ ๋ขฐ๋ ํ์ โ ๋น๋๊ธฐ, ์คํจํด๋ ๋ต๋ณ์ ์ํฅ ์์ | |
| 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("์ด์")>=0?"#34f5c5":(z.verdict&&z.verdict.indexOf("๊ฒํ ")>=0?"#ff5d8f":"#ffb020"); | |
| el.innerHTML="<b style='color:"+col+"'>"+esc(z.verdict||"")+"</b> <span style='color:var(--muted)'>ยท score "+(z.score)+" ยท zero-token</span>";} | |
| else{el.textContent="(ZTC ์๋ฒ ์ค๋น ์ค โ ์ ์ ํ ๋ค์ ์๋)";}}) | |
| .catch(()=>{const el=document.getElementById("ztcbadge");if(el)el.textContent="(ZTC ๋ฏธ์ฐ๊ฒฐ)";});} | |
| } | |
| // ===== 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> | |