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<title>ONGRID ยท Ontology Graph Decision Engine</title>
<meta name="description" content="ONGRID โ€” Ontology ยท Graph ยท Decision(ZTC) ํ†ตํ•ฉ ์ง€์‹์—”์ง„. ๋ฌธ์„œ๋ฅผ 3D ์˜จํ†จ๋กœ์ง€ ๊ทธ๋ž˜ํ”„๋กœ ๊ตฌ์„ฑํ•˜๊ณ , ์งˆ์˜ํ•˜๋ฉด ๊ทธ๋ž˜ํ”„ ๊ทผ๊ฑฐ๋กœ LLM์ด ๋‹ตํ•˜๋ฉฐ ZTC๊ฐ€ 0ํ† ํฐ์œผ๋กœ ๊ฒ€์ฆํ•œ๋‹ค. by VIDRAFT">
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<h1 id="t-title">ONGRID</h1>
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<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">๐Ÿ’ป GitHub</a>
<a class="lk" href="https://vidraft.net" target="_blank" rel="noopener" title="Company website">๐ŸŒ vidraft.net</a>
<a class="lk" href="https://huggingface.co/FINAL-Bench" target="_blank" rel="noopener" title="Hugging Face">๐Ÿค— 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">๐Ÿงต @vidraft_lab</a>
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<div class="brand"><b>VIDRAFT</b> ONGRID ยท OntologyยทGraphยทDecision ยท <a href="https://vidraft.net" target="_blank" rel="noopener">vidraft.net</a></div>
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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": "๋น„๋“œ๋ž˜ํ”„ํŠธยทํ‘œ๋ฐ”์ด์˜คํ…, AI ๋ฐœ๊ตด ์‹ ์•ฝ ํ›„๋ณด๋ฌผ์งˆ ์„ธํฌ ์‹คํ—˜ ๊ฒ€์ฆ ํ˜‘๋ 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": "๋ฐ”์ด์˜ค", "name_en": "Bio", "name_zh": "็”Ÿ็‰ฉ", "group": "topic"}, {"id": "a41", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธยท์•„์›Œ๋ฐ•์Šค, ๋ฌผ๋ฅ˜ ํŠนํ™” LLMยท๋””์ง€ํ„ธํŠธ์œˆ PoC ๊ตฌ์ถ• ๊ณ„์•ฝ ์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": "๊ธฐํƒ€", "name_en": "Etc", "name_zh": "ๅ…ถไป–", "group": "topic"}, {"id": "a42", "name": "โ€œ๊ธ€๋กœ๋ฒŒ ์˜คํ”ˆ๋ชจ๋ธ ๋‹ค์šด๋กœ๋“œ, ํ•œ๊ตญ ๋น„์ค‘ 0.4%๋ฟโ€ โ€” ๋น„๋“œ๋ž˜ํ”„ํŠธ, ํ—ˆ๊น…ํŽ˜์ด์Šค ํ†ฑ 300 ๋ถ„์„", "name_en": "โ€œKorea holds just 0.4% of global open-model downloadsโ€ โ€” VIDRAFT analyzes Hugging Face top", "name_zh": "โ€œKorea holds just 0.4% of global open-model downloadsโ€ โ€” VIDRAFT analyzes Hugging Face top", "group": "article"}, {"id": "a43", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, โ€˜๋ชจ๋‘์˜ ์ฑŒ๋ฆฐ์ง€ ๋ฐ”์ด์˜คโ€™ ์„ ์ •โ€ฆ ์ €๋ถ„์ž ํ•ญ์•” ์‹ ์•ฝ ๋ฐœ๊ตด๋ถ€ํ„ฐ ์ „์ž„์ƒ๊นŒ์ง€, ๋ฌผ์งˆ IP ํ™•๋ณด ์ถ”์ง„", "name_en": "VIDRAFT selected for โ€˜Challenge Bioโ€™ โ€” small-molecule oncology discovery through preclinic", "name_zh": "VIDRAFT selected for โ€˜Challenge Bioโ€™ โ€” small-molecule oncology discovery through preclinic", "group": "article"}, {"id": "m:BioTimes", "name": "๋ฐ”์ด์˜คํƒ€์ž„์ฆˆ", "name_en": "BioTimes", "name_zh": "BioTimes", "group": "media"}, {"id": "a44", "name": "ํ—ˆ๊น…ํŽ˜์ด์Šค๊ฐ€ ์ฃผ๋ชฉํ•œ ้Ÿ“ 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"โ€˜์‚ฌ์ด๋ฒ„๋ณด์•ˆ ํŠนํ™” AI ๋ชจ๋ธโ€™ ๊ฐœ๋ฐœ์— ๋„ค์ด๋ฒ„ํด๋ผ์šฐ๋“œ ์ปจ์†Œ์‹œ์—„ ์„ ์ • โ€” ๋น„๋“œ๋ž˜ํ”„ํŠธ ์ฐธ์—ฌ", "name_en": "Naver Cloud consortium selected for Koreaโ€™s cybersecurity AI foundation model โ€” VIDRAFT pa", "name_zh": "Naver Cloud consortium selected for Koreaโ€™s cybersecurity AI foundation model โ€” VIDRAFT pa", "group": "article"}, {"id": "m:Digital Daily", "name": "๋””์ง€ํ„ธ๋ฐ์ผ๋ฆฌ", "name_en": "Digital Daily", "name_zh": "Digital Daily", "group": "media"}, {"id": "a47", "name": "VIDOG ํ‚คํŠธ: ๋น„๋“œ๋ž˜ํ”„ํŠธ, ๋กœ๋ด‡์— ์˜จ๋””๋ฐ”์ด์Šค AI ํ›„์žฅ์ฐฉ (๋…์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": "ํ”ผ์ง€์ปฌAI", 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Economic TV", "group": "media"}, {"id": "a79", "name": "AIํƒ€์ž„์Šค ๋ณด๋„ โ€” ๋น„๋“œ๋ž˜ํ”„ํŠธ(๋Œ€ํ‘œ ๊น€๋ฏผ์‹), ๊ตฌ๊ธ€ ์ถ”๋ก  ์ตœ์ ํ™” ๊ฒฝ์—ฐ โ€˜The Fast Gemma Challengeโ€™ ๊ฒ€์ฆ ๊ธฐ๋ก ์„ธ๊ณ„ 1์œ„ (vidraft-dar", "name_en": "AI Times โ€” VIDRAFT takes global #1 on Googleโ€™s Fast Gemma Challenge (verified 510.58 TPS a", "name_zh": "AI Times โ€” VIDRAFT takes global #1 on Googleโ€™s Fast Gemma Challenge (verified 510.58 TPS a", "group": "article"}, {"id": "a80", "name": "์ „์ž์‹ ๋ฌธ ๋ณด๋„ โ€” ๋น„๋“œ๋ž˜ํ”„ํŠธ(๋Œ€ํ‘œ ๊น€๋ฏผ์‹), ๊ตฌ๊ธ€ยทํ—ˆ๊น…ํŽ˜์ด์Šค โ€˜The Fast Gemma Challengeโ€™ ์ถ”๋ก  ์ตœ์ ํ™” ๊ฒฝ์—ฐ์„œ ๊ฒ€์ฆ(VERIFIED) ๊ธฐ๋ก ์„ธ๊ณ„", "name_en": "ETNews โ€” VIDRAFT tops the Google ร— Hugging Face โ€˜Fast Gemma Challengeโ€™ on verified records", "name_zh": "ETNews โ€” VIDRAFT tops the Google ร— Hugging Face โ€˜Fast Gemma Challengeโ€™ on verified records", "group": "article"}, {"id": "a81", "name": "๋™์•„์ผ๋ณด ๋ณด๋„ โ€” ๊ตญ๋‚ด AI ์Šคํƒ€ํŠธ์—… ๋น„๋“œ๋ž˜ํ”„ํŠธ, ๊ตฌ๊ธ€ ์ฃผ์ตœ โ€˜The Fast Gemma Challengeโ€™ ๊ฒ€์ฆ ๊ธฐ๋ก ๋ถ€๋ฌธ ๊ธ€๋กœ๋ฒŒ 1์œ„", "name_en": "Dong-A Ilbo โ€” Korean AI startup VIDRAFT takes global #1 on Googleโ€™s Fast Gemma Challenge (", "name_zh": "Dong-A Ilbo โ€” Korean AI startup VIDRAFT takes global #1 on Googleโ€™s Fast Gemma Challenge (", "group": "article"}, {"id": "a82", "name": "ํ•œ๊ตญ๊ฒฝ์ œ ๋ณด๋„ โ€” ๋น„๋“œ๋ž˜ํ”„ํŠธ, ๊ตฌ๊ธ€ยทํ—ˆ๊น…ํŽ˜์ด์Šค โ€˜The Fast Gemma Challengeโ€™ ๊ฒ€์ฆ ๋ถ€๋ฌธ ์ตœ๊ณ  ๊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": "ํ•œ๊ตญ๊ฒฝ์ œ (ํ•œ๊ฒฝ)", "name_en": "The Korea Economic Daily (Hankyung)", "name_zh": "The Korea Economic Daily (Hankyung)", "group": "media"}, {"id": "a83", "name": "๋Ÿฌ์‹œ์•„ IT๋งค์ฒด techora.ru, ์ฃผ๊ถŒํ˜• AI ํŠน์ง‘์„œ ๋น„๋“œ๋ž˜ํ”„ํŠธ โ€˜Aether-7B-5Attnโ€™ ์‹ฌ์ธต ๋ถ„์„ โ€” โ€œ์„ธ๊ณ„ ์ตœ์ดˆ, ๋ฏผ๊ฐ„๊ธฐ์—…์ด ๋งŒ๋“  ์™„์ „ ๊ณต๊ฐœ ์˜คํ”ˆ์†Œ", "name_en": "Russian tech outlet techora.ru features VIDRAFTโ€™s Aether-7B-5Attn in a sovereign-AI deep d", "name_zh": "Russian tech outlet techora.ru features VIDRAFTโ€™s Aether-7B-5Attn in a sovereign-AI deep d", "group": "article"}, {"id": "m:techora.ru (Russia)", "name": "techora.ru (๋Ÿฌ์‹œ์•„)", "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€” ๋น„๋“œ๋ž˜ํ”„ํŠธ POCKET-35B, iPhoneยทGPU ์—†๋Š” PC์—์„œ ๋„๋Š” 35B MoE ์˜จ๋””๋ฐ”์ด์Šค ๋ชจ๋ธ(MoE๋กœ ๋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€” ๋น„๋“œ๋ž˜ํ”„ํŠธ, ์„œ์šธ ๋กœ๋ด‡ยทAI ๊ณผํ•™๊ด€ Spot ๋กœ๋ด‡์„ ์˜จ๋””๋ฐ”์ด์Šค AI๋กœ ํ•œ๊ตญ์–ด ์Œ์„ฑ ๋Œ€์‘(ํด๋ผ์šฐ๋“œ ์—†์ดยท์ œ์กฐ์‚ฌ ๋น„๋…์  ๋ชจ๋“ˆํ˜•)", "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€” ์•„์›Œ๋ฐ•์Šค, ์ž์ฒด ๊ฐœ๋ฐœ ํ•œ๊ตญ์–ด LLM 'Ourbox-31B-JGOS'๋กœ K-AI ๋ฆฌ๋”๋ณด๋“œ 30B+ ๋ถ€๋ฌธ 2์œ„โ€ฆ ๋งํ•˜๋Š” 3D ์•„๋ฐ”ํƒ€ ์˜จ๋””๋ฐ”์ด์Šค 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": "ํ•œ๊ตญ๊ฒฝ์ œ ๋ณด๋„ โ€” ์•„์›Œ๋ฐ•์Šค 'Ourbox-31B-JGOS', ๊ณผ๊ธฐ์ •ํ†ต๋ถ€ยทNIA K-AI ๋ฆฌ๋”๋ณด๋“œ 30B+ ๋ถ€๋ฌธ ์ข…ํ•ฉ 2์œ„ (๋น„๋“œ๋ž˜ํ”„ํŠธ ์˜จ๋””๋ฐ”์ด์Šค AI ํ”Œ๋žซํผ '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€” ์Šค๋งˆํŠธ ๋ฌผ๋ฅ˜๊ธฐ์—… ์•„์›Œ๋ฐ•์Šค, ์ž์ฒด ๊ฐœ๋ฐœ ํ•œ๊ตญ์–ด AI 'Ourbox-31B-JGOS'๋กœ K-AI ๋ฆฌ๋”๋ณด๋“œ 2์œ„ (๋น„๋“œ๋ž˜ํ”„ํŠธ '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": "์ค‘๊ตญ ๋งค์ฒด ๆกƒๅญๅฟซ่ฎฏ ๋ณด๋„ โ€” ๋น„๋“œ๋ž˜ํ”„ํŠธ POCKET-35B(GPU ์—†์ด PCยทํฐ์—์„œ ๋„๋Š” 35B ์˜จ๋””๋ฐ”์ด์Šค ๋ชจ๋ธ)๊ฐ€ Reddit r/LocalLLaMA ์ปค๋ฎค๋‹ˆํ‹ฐ ", "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": "ๆกƒๅญๅฟซ่ฎฏ (์ค‘๊ตญ)", "name_en": "Tรกozi AI Flash (China)", "name_zh": "Tรกozi AI Flash (China)", "group": "media"}, {"id": "a90", "name": "็พŽ ๋ฐ˜๋„์ฒด ๊ถŒ์œ„์ง€ SemiEngineering ํŽธ์ง‘์ง„, ์ฃผ๊ฐ„ '๋ณด์•ˆ ์—ฐ๊ตฌ๋…ผ๋ฌธ' ๋ฆฌ๋ทฐ์— ๋น„๋“œ๋ž˜ํ”„ํŠธ ์–‘์ž ์•”ํ˜ธ๋ถ„์„ ๋…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 ๊ธˆ์œต๋‰ด์Šค StreetInsider ๊ฒŒ์žฌ โ€” ์„œ์šธ ๋กœ๋ด‡ยทAI๊ณผํ•™๊ด€ Spot ๋กœ๋ด‡์ด ํ•œ๊ตญ์–ด ์Œ์„ฑ ๋ช…๋ น ์ดํ•ด(๋น„๋“œ๋ž˜ํ”„ํŠธ ์˜จ๋””๋ฐ”์ด์Šค AI, ํด๋ผ์šฐ๋“œ ์—†์ด ํ˜„์žฅ ์ฒ˜๋ฆฌ", "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": "์บ๋‚˜๋‹ค ๋‰ด์Šค ํŽธํ–ฅยทํŒฉํŠธ ๋น„๊ต ์• ๊ทธ๋ฆฌ๊ฒŒ์ดํ„ฐ Ground News, ์„œ์šธ ๋ฐ•๋ฌผ๊ด€ Spot ๋กœ๋ด‡ ํ•œ๊ตญ์–ด ์Œ์„ฑ์ œ์–ด ์†Œ์‹ ์ง‘๊ณ„ โ€” ็พŽ ๋“ฑ ๋‰ด์Šค ์†Œ์Šค 58๊ณณ ๊ฒŒ์žฌ(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 (์บ๋‚˜๋‹ค)", "name_en": "Ground News (Canada)", "name_zh": "Ground News (Canada)", "group": "media"}, {"id": "a93", "name": "์–‘์ž์ปดํ“จํ„ฐ๋กœ ์•”ํ˜ธ๋ฅผ ๊นจ๊ธฐ ์œ„ํ•ด ๋„์ „ํ•œ ์ด์•ผ๊ธฐ 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": "๋ธŒ๋Ÿฐ์น˜", "name_en": "Brunch", "name_zh": "Brunch", "group": "media"}, {"id": "a94", "name": "ไธญ IT์ „๋ฌธ์ง€ CNMO(ๆ‰‹ๆœบไธญๅ›ฝ), 'Aether-7B-5Attn' ์™„์ „๊ณต๊ฐœ ์กฐ๋ช… โ€” โ€œ์˜์–ด ์ค‘์‹ฌ์ด ์•„๋‹Œ ์ž์ฃผ์  ํŒŒ์šด๋ฐ์ด์…˜ ๋ชจ๋ธโ€", "name_en": "Chinese IT outlet CNMO (ๆ‰‹ๆœบไธญๅ›ฝ) highlights full disclosure of 'Aether-7B-5Attn' โ€” \"An indepe", "name_zh": "Chinese IT outlet CNMO (ๆ‰‹ๆœบไธญๅ›ฝ) highlights full disclosure of 'Aether-7B-5Attn' โ€” \"An indepe", "group": "article"}, {"id": "m:CNMO ๆ‰‹ๆœบไธญๅ›ฝ (China)", "name": "CNMO ๆ‰‹ๆœบไธญๅ›ฝ (์ค‘๊ตญ)", "name_en": "CNMO ๆ‰‹ๆœบไธญๅ›ฝ (China)", "name_zh": "CNMO ๆ‰‹ๆœบไธญๅ›ฝ (China)", "group": "media"}, {"id": "a95", "name": "์ค‘๊ตญ ์ตœ๋Œ€ ํฌํ„ธ ํ…์„ผํŠธ ๋‰ด์Šค(่…พ่ฎฏๆ–ฐ้—ป), ๋น„๋“œ๋ž˜ํ”„ํŠธ ์˜คํ”ˆ์†Œ์Šค ํŒŒ์šด๋ฐ์ด์…˜ ๋ชจ๋ธ 'Aether-7B-5Attn' ๋ณด๋„", "name_en": "China's largest portal Tencent News (่…พ่ฎฏๆ–ฐ้—ป) reports on VIDRAFT's open-source foundation mod", "name_zh": "China's largest portal Tencent News (่…พ่ฎฏๆ–ฐ้—ป) reports on VIDRAFT's open-source foundation mod", "group": "article"}, {"id": "m:Tencent News (China)", "name": "ํ…์„ผํŠธ ๋‰ด์Šค (์ค‘๊ตญ)", "name_en": "Tencent News (China)", "name_zh": "Tencent News (China)", "group": "media"}, {"id": "a96", "name": "์ค‘๊ตญ ๊ธˆ์œตํฌํ„ธ ้‡‘่ž็•Œ ๊ฒŒ์žฌ โ€” ๋น„๋“œ๋ž˜ํ”„ํŠธ, ํ•™์Šต ์†Œ์Šค์ฝ”๋“œยท๊ฐ€์ค‘์น˜ ์ „๋ถ€ ๊ณต๊ฐœํ•œ 'Aether-7B' ์˜คํ”ˆ์†Œ์Šคํ™”", "name_en": "Published on Chinese financial portal ้‡‘่ž็•Œ โ€” VIDRAFT open-sources 'Aether-7B', fully releas", "name_zh": "Published on Chinese financial portal ้‡‘่ž็•Œ โ€” VIDRAFT open-sources 'Aether-7B', fully releas", "group": "article"}, {"id": "m:้‡‘่ž็•Œ (China)", "name": "้‡‘่ž็•Œ (์ค‘๊ตญ)", "name_en": "้‡‘่ž็•Œ (China)", "name_zh": "้‡‘่ž็•Œ (China)", "group": "media"}, {"id": "a97", "name": "์˜๋ฌธ IT๋งค์ฒด ReasonCore, 'Aether-7B-5Attn' ์™„์ „๊ณต๊ฐœ ์กฐ๋ช… โ€” ๊ฐ€์ค‘์น˜ยทํ•™์Šต์ฝ”๋“œยท๋ฐ์ดํ„ฐ๋ ˆ์‹œํ”ผยท๋กœ๊ทธยท์ฒดํฌํฌ์ธํŠธ ์ „๋ถ€ Apache-2.0๋กœ ์žฌํ˜„", "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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, ์™„์ „๊ณต๊ฐœํ˜• ํŒŒ์šด๋ฐ์ด์…˜ ๋ชจ๋ธ ๊ณต๊ฐœโ€ฆโ€œAI ์ฃผ๊ถŒ ๊ตฌํ˜„โ€", "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 ์Šคํƒ€ํŠธ์—… ๋น„๋“œ๋ž˜ํ”„ํŠธ, ๋…์ž ๊ฐœ๋ฐœ ํŒŒ์šด๋ฐ์ด์…˜ ๋ชจ๋ธ '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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, 'AI๋ฐ€ํ‚คํŠธ' ์˜คํ”ˆ์†Œ์Šค LLM ๊ณต๊ฐœโ€ฆโ€œ๋ˆ„๊ตฌ๋‚˜ ์žฌํ˜„ ๊ฐ€๋Šฅํ•œ ๋ชจ๋ธ ๊ตฌ์กฐ ์ œ์‹œโ€", "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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, ํ•™์Šต ๊ณผ์ •๊นŒ์ง€ ๊ณต๊ฐœํ•œ ํ•œ๊ตญํ˜• ์˜คํ”ˆ์†Œ์Šค AI ๋ชจ๋ธ ๊ณต๊ฐœ", "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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, ํŒŒ์šด๋ฐ์ด์…˜ ๋ชจ๋ธ โ€˜Aether-7B-5Attnโ€™ ๊ณต๊ฐœโ€ฆ ํ•™์Šต ์ฝ”๋“œยท๋ฐ์ดํ„ฐ๋„ ์ œ๊ณต", "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": "\"ํ•œ๊ตญํ˜• ์˜ฌ๋ชจ๊ธ‰ ์™„์ „ ๊ณต๊ฐœ ๋ชจ๋ธ ๋“ฑ์žฅ\"โ€ฆ๋น„๋“œ๋ž˜ํ”„ํŠธ, ํ•™์Šต ๋ ˆ์‹œํ”ผยท๋กœ๊ทธ๊นŒ์ง€ ๊ณต๊ฐœ", "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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, 5~11์ข… ์ด์ข… ์–ดํ…์…˜ ํ†ตํ•ฉ ์‹คํ—˜ ๊ธฐ๋ฐ˜ ์˜คํ”ˆ์†Œ์Šค LLM 'Aether' ๊ณต๊ฐœ", "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 ์Šคํƒ€ํŠธ์—… ๋น„๋“œ๋ž˜ํ”„ํŠธ, ์˜คํ”ˆ์†Œ์Šค ๋ชจ๋ธ 'Aether-7B-5Attn' ํ—ˆ๊น…ํŽ˜์ด์Šค ๊ณต๊ฐœ", "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": "๋น„๋“œ๋ž˜ํ”„ํŠธ AI ๋ชจ๋ธ โ€˜Darwinโ€™, ํ—ˆ๊น…ํŽ˜์ด์Šค ๋ˆ„์  ๋‹ค์šด๋กœ๋“œ 100๋งŒ ๊ฑด ๋ŒํŒŒ", "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": "๊ตญ๋‚ด AI ์Šคํƒ€ํŠธ์—… ๋น„๋“œ๋ž˜ํ”„ํŠธ โ€˜๋‹ค์œˆโ€™, ๊ธ€๋กœ๋ฒŒ ๋‹ค์šด๋กœ๋“œ 100๋งŒ ๊ฑด ๋ŒํŒŒ", "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": "โ€œ์ ์€ ์ž์›์œผ๋กœ ๊ณ ํšจ์œจโ€โ€ฆ์Šคํƒ€ํŠธ์—…์ด ๋งŒ๋“  AI โ€˜๋‹ค์œˆโ€™, ํ•ด์™ธ์„œ ํ†ตํ–ˆ๋‹ค", "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": "โ€œ๋‹ค์œˆ ํ—ˆ๊น…ํŽ˜์ด์Šค ๋ˆ„์  ๋‹ค์šด๋กœ๋“œ 100๋งŒ ๋ŒํŒŒโ€ โ€” 4์›” ์ฒซ ๊ณต๊ฐœ ํ›„ 3๊ฐœ์›” ๋งŒ, 163๋งŒ+", "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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, โ€˜VKAEร—VKUEโ€™ ์„ธํŠธ ์—”์ง„์œผ๋กœ AI IDC ์šด์˜ ํšจ์œจ ๊ทน๋Œ€ํ™” ์ œ์•ˆ", "name_en": "VIDRAFT proposes maximizing AI IDC operation efficiency with 'VKAEร—VKUE' engine set", "name_zh": "VIDRAFT proposes maximizing AI IDC operation efficiency with 'VKAEร—VKUE' engine set", "group": "article"}, {"id": "a111", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, ๊ฑด์ถ• ์„ค๊ณ„ AI '๋นŒ๋”ฉ' ๋ฌด๋ฃŒ ๊ณต๊ฐœ", "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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, LLM ์ถ”๋ก  ๊ฐ€์† ์—”์ง„ 'VKAE' ๋ฆฌ๋”๋ณด๋“œยทํ†ตํ•ฉ ์ปจํ…Œ์ด๋„ˆ ๊ณต๊ฐœ", "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": "์ดํƒˆ๋ฆฌ์•„ iHAL, ๋น„๋“œ๋ž˜ํ”„ํŠธ โ€˜VKAEโ€™ ์กฐ๋ช… โ€” LLM ์ถ”๋ก  ๊ฐ€์† ์—”์ง„ ๊ณต๊ฐœ", "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 (์ดํƒˆ๋ฆฌ์•„)", "name_en": "iHAL (Italy)", "name_zh": "iHAL (Italy)", "group": "media"}, {"id": "a114", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ ๋ชจ๋ธ ๋ณ‘ํ•ฉ ๊ธฐ์ˆ  โ€˜๋‹ค์œˆโ€™, ไธญ ๊ธฐ์ˆ ๋งค์ฒด์„œ ์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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, IBM 156ํ๋น— ์–‘์ž์ปดํ“จํ„ฐ๋กœ ์–‘์ž ์•”ํ˜ธ๋ถ„์„ ์‹ค์ฆโ€ฆ๋Œ€์นญํ‚ค ๊ตฌ์กฐ ๊ฒ€์ฆ", "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": "์–‘์ž์ปดํ“จํ„ฐ, ์•”ํ˜ธ๊นจ๊ธฐ ํ˜„์กด ํ•œ๊ณ„๋ฅผ ํ•œ๊ตญ ์Šคํƒ€ํŠธ์—…์ด ๋ŒํŒŒ", "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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, ์ถ”๋ก  ๊ฐ€์† ์—”์ง„ โ€˜VKAEโ€™ ๊ณต๊ฐœโ€ฆ๋ฆฌ๋”๋ณด๋“œยทํ†ตํ•ฉ ์ปจํ…Œ์ด๋„ˆ ์ œ๊ณต", "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 ์ด์ง•์—์„œ ๋ชจ์Šคํฌ๋ฐ”๊นŒ์ง€ โ€” ์„ธ๊ณ„๊ฐ€ โ€˜๋น„๋“œ๋ž˜ํ”„ํŠธโ€™๋ฅผ ์ฝ๋‹ค", "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": "๊ธ€๋กœ๋ฒŒ Wedoany(์˜๋ฌธ), ๋น„๋“œ๋ž˜ํ”„ํŠธ VKAE ์—”์ง„ ์†Œ๊ฐœ โ€” ์ฒ˜๋ฆฌ๋Ÿ‰ ์ตœ๋Œ€ 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 (์ค‘๊ตญ)", "name_en": "Wedoany (China)", "name_zh": "Wedoany (China)", "group": "media"}, {"id": "a120", "name": "Wedoany(ํฌ๋ฅดํˆฌ๊ฐˆ์–ด), ๋น„๋“œ๋ž˜ํ”„ํŠธ VKAE ์—”์ง„ ๋ณด๋„ โ€” ์ฒ˜๋ฆฌ๋Ÿ‰ ์ตœ๋Œ€ 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": "๋Ÿฌ์‹œ์•„ AI๋น„์ฆˆ๋‹ˆ์Šค ๋งค์ฒด hegai.media, VKAE ๋ณด๋„ โ€” โ€œ์žฌํ˜„์šฉ ์ปจํ…Œ์ด๋„ˆ๋กœ ๋„์ž… ๅ‰ ์ง์ ‘ ๊ฒ€์ฆ ๊ฐ€๋Šฅโ€ ํ‰๊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 (๋Ÿฌ์‹œ์•„)", "name_en": "hegai.media (Russia)", "name_zh": "hegai.media (Russia)", "group": "media"}, {"id": "a122", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, LLM ์ถ”๋ก  ๊ฐ€์† ์—”์ง„ โ€˜VKAEโ€™ ๋ฆฌ๋”๋ณด๋“œยทํ†ตํ•ฉ ์ปจํ…Œ์ด๋„ˆ ๊ณต๊ฐœ", "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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, ์‹ค์ œ ์–‘์ž์ปดํ“จํ„ฐ๋กœ ๋Œ€์นญํ‚ค ์•”ํ˜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": "'ํ—ˆ๊น…ํŽ˜์ด์Šค ๊ณต๊ฐœ ํ€€ํ…€OS ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ'. ์‚ฌ์ง„=๋น„๋“œ๋ž˜ํ”„ํŠธ", "name_en": "'QuantumOS simulator released on Hugging Face'. Photo=VIDRAFT", "name_zh": "'QuantumOS simulator released on Hugging Face'. 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"OpenCSG (Chinaยทdistribution)", "name_zh": "OpenCSG (Chinaยทdistribution)", "group": "media"}, {"id": "a167", "name": "LLM๊ณผ ์–‘์ž์ปดํ“จํŒ… ๋งŒ๋‚œ๋‹คโ€ฆ ๋น„๋“œ๋ž˜ํ”„ํŠธ, ์–‘์ž AI ์†Œํ”„ํŠธ์›จ์–ด ๊ณต๋žต", "name_en": "LLM meets quantum computingโ€ฆ VIDRAFT targets quantum AI software", "name_zh": "LLM meets quantum computingโ€ฆ VIDRAFT targets quantum AI software", "group": "article"}, {"id": "a168", "name": "์–‘์ž์ปดํ“จํ„ฐ๋ฅผ ๋งŒ๋“ค์ง€ ์•Š๊ณ , ์–‘์ž์ปดํ“จํ„ฐ์— ๋›ฐ์–ด๋“  ํšŒ์‚ฌ", "name_en": "A company that didn't build a quantum computer, but ventured into quantum computing", "name_zh": "A company that didn't build a quantum computer, but ventured into quantum computing", "group": "article"}, {"id": "a169", "name": "๋˜‘๋˜‘ํ•œ AI ๋‘˜์ด ํ•œ ๋ชธ์— ์‚ด๊ธฐ๋กœ ํ–ˆ๋‹ค.", "name_en": "Two smart AIs decided to live in one body", "name_zh": "Two smart AIs decided to live in one body", "group": "article"}, {"id": "a170", "name": "LLM ํšจ์œจํ™” ๊ฒฝ์Ÿ ์† ๋น„๋“œ๋ž˜ํ”„ํŠธ, AI ํ”„๋ ˆ์ž„์›Œํฌ ๊ธฐ์ˆ  ๊ณต๊ฐœ", "name_en": "Amid LLM efficiency race, VIDRAFT unveils AI framework technology", "name_zh": "Amid LLM efficiency race, VIDRAFT unveils AI framework technology", "group": "article"}, {"id": "a171", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, 'GPU ์ถ”๊ฐ€ ํ•™์Šต' ๊ณผ์ • ์—†์ด ์ถ”๋ก  ์„ฑ๋Šฅ ๊ฐ€์ง„ AI ๋ชจ๋ธ ๊ฐœ๋ฐœ", "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 ็ง‘ๆŠ€่กŒ่€…(TechWalker), ๋น„๋“œ๋ž˜ํ”„ํŠธ โ€˜๋‹ค์œˆโ€™ ์กฐ๋ช… โ€” ์ถ”๊ฐ€ ํ•™์Šต ์—†์ด โ€˜์œ ์ „์ž ์žฌ์กฐํ•ฉโ€™์œผ๋กœ ์ง€๋Šฅ ๋„์•ฝ", "name_en": "China's TechWalker (็ง‘ๆŠ€่กŒ่€…) spotlights VIDRAFT's 'Darwin' โ€” intelligence leap through 'gene ", "name_zh": "China's TechWalker (็ง‘ๆŠ€่กŒ่€…) spotlights VIDRAFT's 'Darwin' โ€” intelligence leap through 'gene ", "group": "article"}, {"id": "m:TechWalker (China)", "name": "TechWalker (์ค‘๊ตญ)", "name_en": "TechWalker (China)", "name_zh": "TechWalker (China)", "group": "media"}, {"id": "a173", "name": "์ค‘๊ตญ ์ตœ๋Œ€ ํฌํ„ธ ํ…์„ผํŠธ ๋‰ด์Šค(่…พ่ฎฏๆ–ฐ้—ป), ๋น„๋“œ๋ž˜ํ”„ํŠธ โ€˜Darwin ํŒจ๋ฐ€๋ฆฌโ€™ ์กฐ๋ช… โ€” โ€œํ›ˆ๋ จ ์—†์ด ์œ ์ „์ž ์žฌ์กฐํ•ฉ์œผ๋กœ AI ๋Šฅ๋ ฅ ๋„์•ฝโ€", "name_en": "China's largest portal Tencent News (่…พ่ฎฏๆ–ฐ้—ป) spotlights VIDRAFT's 'Darwin Family' โ€” \"AI capa", "name_zh": "China's largest portal Tencent News (่…พ่ฎฏๆ–ฐ้—ป) spotlights VIDRAFT's 'Darwin Family' โ€” \"AI capa", "group": "article"}, {"id": "a174", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, ์ถ”๊ฐ€ ํ•™์Šต ์—†๋Š” ๊ณ ์„ฑ๋Šฅ AI ๊ธฐ์ˆ  ๋ฐœํ‘œ", "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": "์„œ์šธ๊ฒฝ์ œTV", "name_en": "Seoul Economic TV", "name_zh": "Seoul Economic TV", "group": "media"}, {"id": "a175", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, GPU ์žฌํ•™์Šต ์—†๋Š” LLM ํ”„๋ ˆ์ž„์›Œํฌ โ€˜Darwin Familyโ€™ ๊ธฐ์ˆ  ๊ณต๊ฐœ", "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": "์„œ์šธ์‹ ๋ฌธ", "name_en": "Seoul Shinmun", "name_zh": "Seoul Shinmun", "group": "media"}, {"id": "a176", "name": "ํ•œ๊ตญ ์Šคํƒ€ํŠธ์—… ๋น„๋“œ๋ž˜ํ”„ํŠธ, GPU ์ถ”๊ฐ€ ํ•™์Šต ์—†์ด ๊ธ€๋กœ๋ฒŒ AI ์ถ”๋ก  ์„ฑ๋Šฅ 3์œ„ ๊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": "ํ•œ๊ตญ ์Šคํƒ€ํŠธ์—…, GPU ํ•™์Šต ์—†์ด AI ์„ธ๊ณ„ 3์œ„ ๊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€ ์Šค์Šค๋กœ ์ง„ํ™”ํ•œ๋‹ค? ํ•œ๊ตญ ์—ฐ๊ตฌํŒ€ ์ฆ๋ช…", "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": "ํ—ˆ๊น…ํŽ˜์ด์Šค ๊ณต์ธ ๋ฆฌ๋”๋ณด๋“œ, ์ƒ์œ„ 21๊ฐœ ๋ชจ๋ธ์— ไธญ 16๊ฐœยท้Ÿ“ ๋น„๋“œ๋ž˜ํ”„ํŠธ 5๊ฐœ", "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": "ํ˜‘ํšŒ ํšŒ์›์‚ฌ ๋น„๋“œ๋ž˜ํ”„ํŠธ, HF ๊ณต์ธ GPQA Top 21 ์ค‘ 5๊ฐœ ์„ ์ •ยท๋‹ค์œˆ ๋‹จ๋… ์ ์œ ยทK-AI ๋ฆฌ๋”๋ณด๋“œ ์ƒ์œ„๊ถŒ", "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": "ํ•œ๊ตญ๊ฐ•์†Œ๊ธฐ์—…ํ˜‘ํšŒ", "name_en": "Korea Small Giant Enterprises Association", "name_zh": "Korea Small Giant Enterprises Association", "group": "media"}, {"id": "a181", "name": "ํ—ˆ๊น…ํŽ˜์ด์Šค ๊ณต์ธ ๋ฆฌ๋”๋ณด๋“œ, ์ค‘๊ตญ ์ค‘์‹ฌ ์žฌํŽธโ€ฆํ•œ๊ตญ์€ ๋น„๋“œ๋ž˜ํ”„ํŠธ ์•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": "๋Œ€๋งŒ BigGo Finance, HF GPQA ๋ฆฌ๋”๋ณด๋“œ์„œ ๋น„๋“œ๋ž˜ํ”„ํŠธ โ€˜Darwinโ€™ 5์ข… ์กฐ๋ช… โ€” ้Ÿ“ ์ง„์ž… ์ „๋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 (๋Œ€๋งŒ)", "name_en": "BigGo Finance (Taiwan)", "name_zh": "BigGo Finance (Taiwan)", "group": "media"}, {"id": "a183", "name": "ํ—ˆ๊น…ํŽ˜์ด์Šค, Gpqa๋ฒค์น˜๋งˆํฌ ์ƒ์œ„ 21์œ„ ์กฐ์‚ฌ๊ฒฐ๊ณผ ์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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, ๋ธŒ๋ผ์šฐ์ € ๊ธฐ๋ฐ˜ ๋กœ์ปฌ AI 'ํ•œ์ˆ˜' ๊ณต๊ฐœโ€ฆ๋ฐ์ดํ„ฐ ์ฃผ๊ถŒํ˜• ์„œ๋น„์Šค ์ œ์‹œ", "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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, ๋ธŒ๋ผ์šฐ์ € ๊ธฐ๋ฐ˜ ๋กœ์ปฌAI โ€˜ํ•œ์ˆ˜โ€™ ๊ณต๊ฐœโ€ฆ์˜คํ”„๋ผ์ธ ํ™˜๊ฒฝ์„œ ๋ฌธ์„œ ์ฒ˜๋ฆฌ", "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": "์•„์‹œ์•„ํˆฌ๋ฐ์ด", "name_en": "Asia Today", "name_zh": "Asia Today", "group": "media"}, {"id": "a186", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, ๋ธŒ๋ผ์šฐ์ € ๊ธฐ๋ฐ˜ ๋กœ์ปฌ AI โ€˜ํ•œ์ˆ˜โ€™ ๊ณต๊ฐœโ€ฆ์˜คํ”„๋ผ์ธ ํ™˜๊ฒฝ์„œ ๋ฌธ์„œ ์ฒ˜๋ฆฌ ์ง€์›", "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": "๋น„๋“œ๋ž˜ํ”„ํŠธ ๋ธŒ๋ผ์šฐ์ €์—์„œ ๊ตฌ๋™๋˜๋Š” ์™„์ „ ๋กœ์ปฌ AI 'ํ•œ์ˆ˜(้Ÿ“ๅฎˆ)' ๊ณต๊ฐœ", "name_en": "VIDRAFT unveils fully local AI 'Hansu (้Ÿ“ๅฎˆ)' that runs in browser", "name_zh": "VIDRAFT unveils fully local AI 'Hansu (้Ÿ“ๅฎˆ)' that runs in browser", "group": "article"}, {"id": "a188", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, ๋ธŒ๋ผ์šฐ์ € ๊ธฐ๋ฐ˜ ๋กœ์ปฌ AI โ€˜ํ•œ์ˆ˜โ€™ ๊ณต๊ฐœโ€ฆ๋ฐ์ดํ„ฐ ์ฃผ๊ถŒํ˜• ์—…๋ฌด AI ์ œ์‹œ", "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": "์ง€๋‹ˆ์  AI, 'K-AI ๋ฆฌ๋”๋ณด๋“œ' 2์œ„โ€ฆ์ฒจ๋‹จ GPU ํ™œ์šฉ ์ง€์› ์‚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„ ์ตœ์ดˆ ๋ฉ€ํ‹ฐ๋ชจ๋‹ฌ๋ฆฌํ‹ฐ ์ด์ข… ์ „์ด ๋ชจ๋ธ ๊ณต๊ฐœ", "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": "์ง€๋‹ˆ์  AI, โ€˜K-AI ๋ฆฌ๋”๋ณด๋“œโ€™ ์ข…ํ•ฉ 2์œ„ ๋ฐ โ€˜์ฒจ๋‹จ GPU ํ™œ์šฉ ์ง€์› ์‚ฌ์—…โ€™ ๋™์‹œ ์„ ์ •", "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": "๋งค์ผ๊ฒฝ์ œ", "name_en": "Maeil Business", "name_zh": "Maeil Business", "group": "media"}, {"id": "a192", "name": "AI ๋ชจ๋ธ๋„ ๊ต๋ฐฐ๋ฅผ ํ•œ๋‹ค? โ€” ํ•™์Šต ์—†์ด ์„ธ๊ณ„ 5์œ„๋ฅผ", "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": "๊น€๋ฏผ์‹ ๋น„๋“œ๋ž˜ํ”„ํŠธ ๋Œ€ํ‘œ. ์‚ฌ์ง„=๋น„๋“œ๋ž˜ํ”„ํŠธ", "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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, ์ฒดํ™” AI ์›”๋“œ ๋ชจ๋ธ 'PROMETHEUS' ๊ณต๊ฐœ", "name_en": "VIDRAFT unveils embodied AI world model 'PROMETHEUS'", "name_zh": "VIDRAFT unveils embodied AI world model 'PROMETHEUS'", "group": "article"}, {"id": "a195", "name": "์„œ๋กœ ๋‹ค๋ฅธ LLM 2๊ฐœ๋ฅผ ๊ต๋ฐฐํ•˜๊ณ  ์ง„ํ™”ํ•˜์—ฌ ์ž์‹์„ ๋‚ณ๋‹ค", "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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, ์ฒดํ™” AI ์›”๋“œ ๋ชจ๋ธ โ€˜ํ”„๋กœ๋ฉ”ํ…Œ์šฐ์Šคโ€™ ๊ณต๊ฐœ", "name_en": "VIDRAFT unveils embodied AI world model 'Prometheus'", "name_zh": "VIDRAFT unveils embodied AI world model 'Prometheus'", "group": "article"}, {"id": "a197", "name": "AI ๋ชจ๋ธ๋„ '๊ต๋ฐฐ'๊ฐ€ ๋œ๋‹ค๊ณ ? ๋ถ€๋ชจ๋ณด๋‹ค ๋˜‘๋˜‘ํ•œ ์ž์‹!", "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 œ ๋๋ฌผ์ด๋‹ค. ์›”๋“œ๋ชจ๋ธ์ด AGI๋ฅผ ์ด‰๋ฐœ์‹œํ‚จ๋‹ค", "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˜ ๋‡Œ๋ฅผ ๋“ค์—ฌ๋‹ค๋ณด๋‹ค โ€” ํ•œ๊ตญ์ด LLM MRI ๋งŒ๋“ค๋‹ค", "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, ๋ธŒ๋ผ์šฐ์ € AI ์—์ด์ „ํŠธ ๋“ฑ์žฅ", "name_en": "SiteAgent, a browser AI agent, emerges", "name_zh": "SiteAgent, a browser AI agent, emerges", "group": "article"}, {"id": "a201", "name": "HWP๋ฅผ ์ฝ์œผ๋ ค๋‹ค HWP๋ฅผ ๊ฐ์‹œํ•˜๊ฒŒ ๋์Šต๋‹ˆ๋‹ค", "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": "์ง€๋‹ˆ์  AI, ์†Œํ˜• AI๋ชจ๋ธ ์ „์šฉํ‰๊ฐ€์ฒด๊ณ„ ๊ณต๊ฐœโ€ฆํ—ˆ๊น…ํŽ˜์ด์Šค ์ŠคํŽ˜์ด์Šคยท๋ฐ์ดํ„ฐ์…‹ 10์œ„๊ถŒ ๋™์‹œ ์ง„์ž…", "name_en": "GenieGenAI unveils dedicated evaluation system for small AI modelsโ€ฆsimultaneously enters t", "name_zh": "GenieGenAI unveils dedicated evaluation system for small AI modelsโ€ฆsimultaneously enters t", "group": "article"}, {"id": "a203", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, LLM ํ™˜๊ฐ ์ค„์ด๋Š” AI ์ถ”๋ก  ๋ฏธ๋“ค์›จ์–ด โ€˜MARLโ€™ ์ „ ์„ธ๊ณ„ ๋™์‹œ ๊ณต๊ฐœ", "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": "๋น„๋“œ๋ž˜ํ”„ํŠธ, ํ™˜๊ฐ ์ค„์ด๋Š” ์ถ”๋ก  ๋ฏธ๋“ค์›จ์–ด 'MARL' ์ „ ์„ธ๊ณ„ ๋™์‹œ ๊ณต๊ฐœ", "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 ๋น„๋“œ๋ž˜ํ”„ํŠธ, ํ™˜๊ฐ ์ค„์ด๋Š” ์ถ”๋ก  ๋ฏธ๋“ค์›จ์–ด MARL ์ „ ์„ธ๊ณ„ ๋™์‹œ ๊ณต๊ฐœ", "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": "์›จ์–ดํ๋ธŒ-๋น„๋“œ๋ž˜ํ”„ํŠธ, ์ „๋žต์  ์—…๋ฌดํ˜‘์•ฝ ๋ฐ ๊ณต๋™์—ฐ๊ตฌ๊ฐœ๋ฐœ ๊ณ„์•ฝ", "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": "์›จ์–ดํ๋ธŒ, AI ๋น„๋“œ๋ž˜ํ”„ํŠธ์™€ ์ „๋žต์  ์—…๋ฌด ํ˜‘์•ฝ ๋ฐ ๊ณต๋™์—ฐ๊ตฌ๊ฐœ๋ฐœ ๊ณ„์•ฝ", "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 ์Šต๋‹ˆ๋‹ค\"๋ผ๊ณ  ๋งํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋œ ๋‚ ", "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 ์‚ฌํšŒ)๋ฅผ ๋งŒ๋“ค๋‹ค", "name_en": "Creating an Artificial Society", "name_zh": "Creating an Artificial Society", "group": "article"}, {"id": "a210", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, AI ๋ฉ”ํƒ€์ธ์ง€ ๋ฒค์น˜๋งˆํฌ 'FINAL Bench' ๊ณต๊ฐœ", "name_en": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'", "name_zh": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'", "group": "article"}, {"id": "a211", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, AI ๋ฉ”ํƒ€์ธ์ง€ ํ‰๊ฐ€ ๋ฒค์น˜๋งˆํฌ โ€˜FINAL Benchโ€™ ๊ณต๊ฐœ", "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": "์•„์‹œ์•„๊ฒฝ์ œ", "name_en": "Asia Economy", "name_zh": "Asia Economy", "group": "media"}, {"id": "a212", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, AI ๋ฉ”ํƒ€์ธ์ง€ ๋ฒค์น˜๋งˆํฌ โ€˜FINAL Benchโ€™ ๊ณต๊ฐœ", "name_en": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'", "name_zh": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'", "group": "article"}, {"id": "a213", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ โ€œGPTยท์ œ๋ฏธ๋‚˜์ดยทํด๋กœ๋“œ, ์ž๊ธฐ ์‹ค์ˆ˜ ๋ชป ๊ณ ์นœ๋‹คโ€", "name_en": "VIDRAFT: \"GPT, Gemini, Claude can't fix their own mistakes\"", "name_zh": "VIDRAFT: \"GPT, Gemini, Claude can't fix their own mistakes\"", "group": "article"}, {"id": "a214", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, AI ๋ฉ”ํƒ€์ธ์ง€ ๋ฒค์น˜๋งˆํฌ 'FINAL Bench' ๊ณต๊ฐœยทยทยท \"AI ์ž๊ธฐ ์‹ค์ˆ˜ ๋ชป ๊ณ ์นœ๋‹ค\"", "name_en": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'... \"AI can't fix its own mistakes", "name_zh": "VIDRAFT unveils AI metacognition benchmark 'FINAL Bench'... \"AI can't fix its own mistakes", "group": "article"}, {"id": "a215", "name": "์ด์Šค๋ผ์—˜ AI๋งค์ฒด ANVI, FINAL-Bench ์‹ฌ์ธต๋ถ„์„ โ€” โ€œAI๋Š” ์ž๊ธฐ ์˜ค๋ฅ˜๋ฅผ ๊ณ ์น  ์ˆ˜ ์žˆ๋Š”๊ฐ€โ€(AGI ์ž๊ธฐ๊ต์ • ๋ณ‘๋ชฉ)", "name_en": "Israeli AI outlet ANVI in-depth analysis of FINAL-Bench โ€” \"Can AI correct its own errors?\"", "name_zh": "Israeli AI outlet ANVI in-depth analysis of FINAL-Bench โ€” \"Can AI correct its own errors?\"", "group": "article"}, {"id": "m:ANVI (Israel)", "name": "ANVI (์ด์Šค๋ผ์—˜)", "name_en": "ANVI (Israel)", "name_zh": "ANVI (Israel)", "group": "media"}, {"id": "a216", "name": "VIDRAFT, Developing Accessible Platforms and Services for โ€œTrue AGIโ€ [Seoul AI Hub 2026]", "name_en": "VIDRAFT, Developing Accessible Platforms and Services for \"True AGI\" [Seoul AI Hub 2026]", "name_zh": "VIDRAFT, Developing Accessible Platforms and Services for \"True AGI\" [Seoul AI Hub 2026]", "group": "article"}, {"id": "a217", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, โ€˜ํŠธ๋ฃจ AGIโ€™ ๋‹ฌ์„ฑ ์œ„ํ•œ ํ”Œ๋žซํผยท์„œ๋น„์Šค ๊ตฌํ˜„ [์„œ์šธAIํ—ˆ๋ธŒ 2026]", "name_en": "VIDRAFT implements platforms and services to achieve 'True AGI' [Seoul AI Hub 2026]", "name_zh": "VIDRAFT implements platforms and services to achieve 'True AGI' [Seoul AI Hub 2026]", "group": "article"}, {"id": "a218", "name": "๋น„๋“œ๋ž˜ํ”„ํŠธ, NIPA โ€˜AI์ปดํ“จํŒ… ์ž์› ์ง€์› ์‚ฌ์—…โ€™ ์„ ์ •", "name_en": "VIDRAFT selected for NIPA's 'AI Computing Resource Support Project'", "name_zh": "VIDRAFT selected for NIPA's 'AI Computing Resource Support Project'", "group": "article"}, {"id": "e:NIPA", "name": "NIPA", "name_en": "NIPA", "name_zh": "NIPA", "group": "org"}, {"id": "a219", "name": "โ€˜์„์ง€๋ฌธ๋•โ€™ ์ œ์ž‘๊ธฐ- AI๊ฐ€ ๋ฐ”๊พธ๋Š” ์˜ํ™”์˜ ๋ฏธ๋ž˜", "name_en": "Making of 'Eulji Mundeok' - The future of film changed by AI", "name_zh": "Making of 'Eulji Mundeok' - The future of film changed by AI", "group": "article"}, {"id": "a220", "name": "K-AI ์ปค๋ฎค๋‹ˆํ‹ฐ ์„œ๋ฐ‹ 2025", "name_en": "K-AI Community Summit 2025", "name_zh": "K-AI Community Summit 2025", "group": "article"}, {"id": "a221", "name": "์˜๋ฃŒ AI์˜ '๊ฑฐ์ง“๋ง ํƒ์ง€๊ธฐ'๊ฐ€ ๋“ฑ์žฅํ–ˆ๋‹ค!", "name_en": "A 'lie detector' for medical AI has appeared!", "name_zh": "A 'lie detector' for medical AI has appeared!", "group": "article"}, {"id": "a222", "name": "ํ•œ๊ตญ ๋†์ˆ˜์‚ฐ๋ฌผ ๋„๋งค๊ฐ€๊ฒฉ ์˜ˆ์ธก ๊ณ ๊ธ‰ AI ์‹œ์Šคํ…œ ์—ฐ๊ตฌ", "name_en": "Research on an advanced AI system for predicting Korean agricultural and fisheries wholesa", "name_zh": "Research on an advanced AI system for predicting Korean agricultural and fisheries wholesa", "group": "article"}, {"id": "a223", "name": "GiniGEN, ์„ธ๊ณ„๊ฐ€ ์ฃผ๋ชฉํ•œ ํ•œ๊ตญ์˜ AI", "name_en": "GiniGEN, Korean AI that caught the world's attention", "name_zh": "GiniGEN, Korean AI that caught the world's attention", "group": "article"}, {"id": "a224", "name": "[์ธํ„ฐ๋ทฐ] ์„ธ๊ณ„์—์„œ ์ฃผ๋ชฉํ•œ ๊ตญ๋‚ด โ€˜์˜จ๋””๋ฐ”์ด์Šค ์ ์‘ํ˜• AIโ€™", "name_en": "[Interview] Domestic 'on-device adaptive AI' that caught the world's attention", "name_zh": "[Interview] Domestic 'on-device adaptive AI' that caught the world's attention", "group": "article"}, {"id": "m:Digital Chosun", "name": "๋””์ง€ํ‹€์กฐ์„ ์ผ๋ณด", "name_en": "Digital Chosun", "name_zh": "Digital Chosun", "group": "media"}, {"id": "a225", 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"์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a7", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a7", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a7", "target": "e:POCKET", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a8", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a8", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a8", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a8", "target": "e:POCKET", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a9", "target": "m:IT Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a9", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a9", "target": "t:agent", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a9", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a9", "target": "e:AX-RAY", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a10", "target": "m:Hankyung", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a10", "target": "t:quantum", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a10", "target": "t:business", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a11", "target": "m:Digital Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a11", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a11", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a12", "target": "m:ZDNet Korea", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a12", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a12", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a13", "target": "m:IT Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a13", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a14", "target": "m:Toutiao (China)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a14", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a14", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a14", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a14", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a14", "target": "e:POCKET", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a15", "target": "m:n1n.ai (Global)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a15", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a15", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a15", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a15", "target": "e:POCKET", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a16", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a16", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a16", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a16", "target": "e:AX-RAY", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a17", "target": "m:ZDNet Korea", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a17", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a18", "target": "m:jls42 (France)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a18", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a18", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a18", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a18", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a18", "target": "e:POCKET", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a19", "target": "m:DonWeb (Argentina)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a19", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a19", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a19", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a19", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a19", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a20", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a20", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a20", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a20", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a21", "target": "m:Lawissue", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a21", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a21", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a21", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a22", "target": "m:Law Leader", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a22", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a22", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a23", "target": "m:WondTech (Global)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a23", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a23", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a24", "target": "m:ChosunBiz", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a24", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a25", "target": "m:AI Market Watch (USA)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a25", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a25", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a25", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a26", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a26", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a26", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a27", "target": "m:The Dong-A Ilbo", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a27", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a28", "target": "m:ZDNet Korea", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a28", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a28", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a28", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a28", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a28", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a29", "target": "m:Hugging Face", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a29", "target": "t:ztc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a29", "target": "t:business", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a29", "target": "e:ZTC", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a30", "target": "m:EBN", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a30", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a31", "target": "m:The Dong-A Ilbo", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a31", "target": "t:agent", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a31", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a31", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a32", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a32", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a32", "target": "t:agent", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a32", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a32", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a33", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a33", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a33", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a33", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a33", "target": "e:POCKET", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a34", "target": "m:Maeil Business Newspaper", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a34", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a34", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a34", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a34", "target": "e:POCKET", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a35", "target": "m:ZDNet Korea", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a35", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a35", "target": "e:POCKET", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a36", "target": "m:IT Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a36", "target": "t:quantum", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a37", "target": "m:IT Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a37", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a37", "target": "e:AX-RAY", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a38", "target": "m:The Korea Economic Daily", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a38", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a38", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a38", "target": "e:AX-RAY", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a38", "target": "e:๋„ค์ด๋ฒ„ํด๋ผ์šฐ๋“œ", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a38", "target": "e:๊ณผ๊ธฐ์ •ํ†ต๋ถ€", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a39", "target": "m:Dong-A Ilbo", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a39", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a39", "target": "e:๋„ค์ด๋ฒ„ํด๋ผ์šฐ๋“œ", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a40", "target": "m:IT Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a40", "target": "t:materials", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a40", "target": "t:bio", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a41", "target": "m:Dong-A Ilbo", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a41", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a42", "target": "m:ZDNet Korea", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a42", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a43", "target": "m:BioTimes", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a43", "target": "t:materials", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a43", "target": "t:bio", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a43", "target": "t:business", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a44", "target": "m:Electronic Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a44", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a45", "target": "m:Korea.kr Policy Briefing", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a45", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a46", "target": "m:Digital Daily", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a46", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a46", "target": "t:business", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a46", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a46", "target": "e:๋„ค์ด๋ฒ„ํด๋ผ์šฐ๋“œ", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a47", "target": "m:ad-hoc-news (Germany)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a47", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a47", "target": "t:physical-ai", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a48", "target": "m:Robot News", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a48", "target": "t:physical-ai", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a48", "target": "t:business", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a49", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a49", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a50", "target": "m:BioTimes", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a50", "target": "t:materials", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a50", "target": "t:bio", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a51", "target": "m:JoongAng Ilbo", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a51", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a51", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a51", "target": "e:AX-RAY", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a52", "target": "m:Hankook Ilbo", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a52", "target": "t:physical-ai", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a52", "target": "t:business", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a53", "target": "m:ZDNet Korea", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a53", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a54", "target": "m:Dong-A Ilbo", "rel": "๋ณด๋„", "rel_en": "published in", 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"์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a60", "target": "e:๋„ค์ด๋ฒ„ํด๋ผ์šฐ๋“œ", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a61", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a61", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a61", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a61", "target": "e:AX-RAY", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a62", "target": "m:vc.ru (Russia)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a62", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a62", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a62", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a62", "target": "e:GPQA", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a62", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a63", "target": "m:Vizen Medical", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a63", "target": "t:bio", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a64", "target": "m:RuntimeWire (Global)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a64", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a64", "target": "t:bio", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a65", "target": "m:ZDNet Korea", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a65", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a65", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a66", "target": "m:AP News (USA)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a66", "target": "t:bio", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a66", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a67", "target": "m:Hankyoreh", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a67", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a68", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a68", "target": "t:materials", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a68", "target": "t:bio", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a68", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a69", "target": "m:IT Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": 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"rel_zh": "ไธป้ข˜"}, {"source": "a71", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a72", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a72", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a72", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a72", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a72", "target": "e:AX-RAY", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a73", "target": "m:note (Japan)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a73", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a74", "target": "m:ZDNet Korea", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a74", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a74", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a74", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a74", "target": "e:AX-RAY", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a75", "target": "m:The Korea Economic Daily", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a75", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a75", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a75", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a75", "target": "e:AX-RAY", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a76", "target": "m:Electronic Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a76", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a76", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a76", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a76", "target": "e:AX-RAY", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a77", "target": "m:TLDR AI (US)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a77", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a77", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a77", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a78", "target": "m:Korea Economic TV", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a78", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a78", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a79", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a79", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a79", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a79", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a80", "target": "m:ETNews", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a80", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a81", "target": "m:Dong-A Ilbo", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a81", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a82", "target": "m:The Korea Economic Daily (Hankyung)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a82", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a83", "target": "m:techora.ru (Russia)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a83", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a83", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a83", "target": "e:AETHER", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a84", "target": "m:AI Chronicle (Japan)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a84", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a84", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a84", "target": "e:POCKET", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a85", "target": "m:IT BOLTWISE (Germany)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a85", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a85", "target": "t:physical-ai", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a86", "target": "m:Dong-A Ilbo", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a86", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a86", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a86", "target": "e:POCKET", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a87", "target": "m:The Korea Economic Daily (Hankyung)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a87", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a87", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a87", "target": "e:POCKET", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a87", "target": "e:๊ณผ๊ธฐ์ •ํ†ต๋ถ€", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a88", "target": "m:ZDNet Korea", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a88", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a88", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a88", "target": "e:POCKET", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a89", "target": "m:Tรกozi AI Flash (China)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a89", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a89", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a89", "target": "e:POCKET", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a90", "target": "m:SemiEngineering (US)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a90", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a90", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a90", "target": "t:quantum", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a90", "target": "t:business", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a91", "target": "m:StreetInsider (US)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a91", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a91", "target": "t:physical-ai", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a92", "target": "m:Ground News (Canada)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a92", "target": "t:physical-ai", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a93", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a93", "target": "t:quantum", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a94", "target": "m:CNMO ๆ‰‹ๆœบไธญๅ›ฝ (China)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a94", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a94", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a94", "target": "e:AETHER", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a95", "target": "m:Tencent News (China)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a95", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a95", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a95", "target": "e:AETHER", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a96", "target": "m:้‡‘่ž็•Œ (China)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a96", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a96", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a96", "target": "e:AETHER", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a97", "target": "m:ReasonCore (Global)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a97", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a97", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a97", "target": "e:AETHER", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a98", "target": "m:JoongAng Ilbo", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a98", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a98", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a99", "target": "m:ZDNet Korea", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a99", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a99", "target": "e:AETHER", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a100", "target": "m:Digital Daily", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a100", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a100", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a101", "target": "m:Hankook Ilbo", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a101", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a101", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a102", "target": "m:ChosunBiz", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a102", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a102", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a102", "target": "e:AETHER", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a103", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a103", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a103", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a104", "target": "m:Electronic Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a104", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a104", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a104", "target": "e:AETHER", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a105", "target": "m:Dong-A Ilbo", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a105", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a105", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a105", "target": "e:AETHER", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a106", "target": "m:ChosunBiz", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a106", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a106", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a106", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a107", "target": "m:Dong-A Ilbo", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a107", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a107", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a108", "target": "m:DBR", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a108", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a108", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a109", "target": "m:JoongAng Ilbo", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a109", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a109", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a109", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a109", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a110", "target": "m:Electronic Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a110", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a111", "target": "m:ZDNet Korea", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a111", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a111", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a112", "target": "m:MSN", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a112", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a112", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a113", "target": "m:iHAL (Italy)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a113", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a114", "target": "m:IT Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a114", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a114", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a114", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a115", "target": "m:Economist Korea", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a115", "target": "t:quantum", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a116", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a116", "target": "t:quantum", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a117", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a117", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a117", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a118", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a118", "target": "t:materials", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a119", "target": "m:Wedoany (China)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a119", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a120", "target": "m:Wedoany (China)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a120", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a121", "target": "m:hegai.media (Russia)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a121", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a122", "target": "m:Digital Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a122", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a122", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a123", "target": "m:Electronic Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a123", "target": "t:quantum", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a124", "target": "m:Electronic Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a124", "target": "t:quantum", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a124", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a124", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a125", "target": "m:Digital Daily", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a125", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a125", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a126", "target": "m:iXBT.com (Russia)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a126", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a127", "target": "m:RusNews (Russia)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a127", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a128", "target": "m:One.uz (Uzbekistan)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a128", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a129", "target": "m:Zamin.uz (Uzbekistan)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a129", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a130", "target": "m:itzine.ru (Russia)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a130", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a131", "target": "m:vTambove (Russia)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a131", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a132", "target": "m:Podolyaka (Russia)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a132", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a133", "target": "m:HyperAI (Greater China)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a133", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a133", "target": "e:Metacognition", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a134", "target": "m:Alabia (Brazil)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a134", "target": "t:quantum", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a134", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a134", "target": "t:physical-ai", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a135", "target": "m:MSN", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a135", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a135", "target": "e:Metacognition", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a136", "target": "m:Behind", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a136", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a136", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a136", "target": "e:Metacognition", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a137", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a137", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a137", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a137", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a138", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a138", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a139", "target": "m:HelloAIFlow (Greater China)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a139", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a140", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a140", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a140", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a140", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a140", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a140", "target": "e:Metacognition", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a141", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a141", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a142", "target": "m:v.daum.net", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a142", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a142", "target": "e:Metacognition", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a143", "target": "m:Nate", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a143", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a143", "target": "e:Metacognition", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a144", "target": "m:AI Chronicle (Japan)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a144", "target": "t:security", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a144", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a144", "target": "t:business", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a145", "target": "m:LM Studio (US)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a145", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a145", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a146", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a146", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a147", "target": "m:AINEWSDEN (Global)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a147", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a147", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a147", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a147", "target": "e:GPQA", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a147", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a148", "target": "m:Behind", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a148", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a148", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a148", "target": "e:GPQA", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a149", "target": "m:AI Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a149", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a149", "target": "e:GPQA", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a150", "target": "m:Datanet", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a150", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a150", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a150", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a150", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a151", "target": "m:IT Biz", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a151", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a151", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a152", "target": "m:Hankyung Magazine", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a152", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a152", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a153", "target": "m:v.daum.net", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a153", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a153", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a153", "target": "e:GPQA", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a154", "target": "m:Edaily", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a154", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a154", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a154", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a154", "target": "e:GPQA", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a154", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a155", "target": "m:Dailian", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a155", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a155", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a155", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a156", "target": "m:Nate", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a156", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a156", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a156", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a156", "target": "e:GPQA", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a156", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a157", "target": "m:SapiensDataAI (Spanish)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a157", "target": "t:quantum", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a157", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a158", "target": "m:Electronic Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a158", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a158", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a158", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a159", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a159", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a160", "target": "m:Behind", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a160", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a161", "target": "m:Economist Korea", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a161", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a161", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a161", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a162", "target": "m:Hankyung Magazine", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a162", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a163", "target": "m:Electronic Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a163", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a163", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a163", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a164", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a164", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a164", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a164", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a165", "target": "m:Behind", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a165", "target": "t:quantum", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a166", "target": "m:OpenCSG (Chinaยทdistribution)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a166", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a166", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a166", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a167", "target": "m:IT Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a167", "target": "t:quantum", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a168", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a168", "target": "t:quantum", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a168", "target": "t:business", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a169", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a169", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a170", "target": "m:Hankyung Magazine", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a170", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a171", "target": "m:Nate", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a171", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a172", "target": "m:TechWalker (China)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a172", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a172", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a172", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a173", "target": "m:Tencent News (China)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a173", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a173", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a173", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a174", "target": "m:Seoul Economic TV", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a174", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a175", "target": "m:Seoul Shinmun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a175", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a175", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a175", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a175", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a176", "target": "m:Electronic Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a176", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a176", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a177", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a177", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a177", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a178", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a178", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a179", "target": "m:v.daum.net", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a179", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a179", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a180", "target": "m:Korea Small Giant Enterprises Association", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a180", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a180", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a180", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a180", "target": "t:business", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a180", "target": "e:GPQA", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a180", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a181", "target": "m:IT Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a181", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a182", "target": "m:BigGo Finance (Taiwan)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a182", "target": "t:rsi", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a182", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a182", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a182", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a182", "target": "e:GPQA", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a182", "target": "e:Darwin", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a183", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a183", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a183", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a183", "target": "e:GPQA", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a184", "target": "m:Electronic Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a184", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a185", "target": "m:Asia Today", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a185", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a186", "target": "m:v.daum.net", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a186", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a187", "target": "m:v.daum.net", 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{"source": "a191", "target": "m:Maeil Business", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a191", "target": "t:leaderboard", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a191", "target": "t:business", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a192", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a192", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a193", "target": "m:Electronic Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a193", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a194", "target": "m:Electronic Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a194", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a194", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a195", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a195", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a196", "target": "m:IT Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a196", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a196", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a197", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a197", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a198", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a198", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a199", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a199", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a200", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a200", "target": "t:agent", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a201", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a201", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a202", "target": "m:Electronic Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a202", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a202", "target": "t:model", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a203", "target": "m:Economist Korea", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a203", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a204", "target": "m:Behind", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a204", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a205", "target": "m:Digital Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a205", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a206", "target": "m:v.daum.net", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a206", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a207", "target": "m:Maeil Business", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a207", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a208", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a208", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a209", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a209", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a210", "target": "m:Electronic Times", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a210", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a210", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a210", "target": "e:Metacognition", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a211", "target": "m:Asia Economy", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a211", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a211", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a211", "target": "e:Metacognition", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a212", "target": "m:Seoul Shinmun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a212", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a212", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a212", "target": "e:Metacognition", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a213", "target": "m:IT Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a213", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a214", "target": "m:Behind", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a214", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a214", "target": "t:dataset", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a214", "target": "e:Metacognition", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a215", "target": "m:ANVI (Israel)", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a215", "target": "t:benchmark", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a216", "target": "m:IT Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a216", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a217", "target": "m:IT Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a217", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a218", "target": "m:IT Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a218", "target": "t:business", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a218", "target": "e:NIPA", "rel": "์–ธ๊ธ‰", "rel_en": "mentions", "rel_zh": "ๆๅŠ"}, {"source": "a219", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a219", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a220", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a220", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a221", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a221", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a222", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a222", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a223", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a223", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a224", "target": "m:Digital Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a224", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a225", "target": "m:Digital Chosun", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a225", "target": "t:on-device", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "a226", "target": "m:Brunch", "rel": "๋ณด๋„", "rel_en": "published in", "rel_zh": "ๆŠฅ้“"}, {"source": "a226", "target": "t:etc", "rel": "์ฃผ์ œ", "rel_en": "topic", "rel_zh": "ไธป้ข˜"}, {"source": "e:Darwin", "target": "e:AIME", "rel": "์ˆ˜ํ•™ ๋งŒ์  1์œ„", "rel_en": "1st, perfect", "rel_zh": "ๆ•ฐๅญฆๆปกๅˆ†็ฌฌไธ€"}, {"source": "e:Darwin", "target": "e:HMMT", "rel": "์ˆ˜ํ•™ ๋งŒ์  1์œ„", "rel_en": "1st, perfect", "rel_zh": "ๆ•ฐๅญฆๆปกๅˆ†็ฌฌไธ€"}, {"source": "e:Darwin", "target": "e:GPQA", "rel": "500Bโ†“ 1์œ„", "rel_en": "1st (<500B)", "rel_zh": "500Bไปฅไธ‹็ฌฌไธ€"}, {"source": "e:ZTC", "target": "e:S1MB", "rel": "์ข…ํ•ฉ 1์œ„", "rel_en": "#1 overall", "rel_zh": "็ปผๅˆ็ฌฌไธ€"}, {"source": "e:ZTC", "target": "e:typed-decisions", "rel": "1์œ„", "rel_en": "#1", "rel_zh": "็ฌฌไธ€"}, {"source": "e:Darwin", "target": "e:ExtractBench", "rel": "1์œ„", "rel_en": "#1", "rel_zh": "็ฌฌไธ€"}, {"source": "e:Darwin", "target": "e:Polaris", "rel": "์„ธ๊ณ„ 1์œ„(16๋ถ€๋ฌธ)", "rel_en": "world #1 (16)", "rel_zh": "ไธ–็•Œ็ฌฌไธ€(16้กน)"}, {"source": "e:ZTC", "target": "e:Metacognition", "rel": "1์œ„", "rel_en": "#1", "rel_zh": "็ฌฌไธ€"}, {"source": "e:JEV", "target": "e:S1MB", "rel": "2~5์œ„", "rel_en": "#2-5", "rel_zh": "็ฌฌ2-5"}, {"source": "e:TypeSafe AI", "target": "e:JEV", "rel": "๊ฐœ๋ฐœ", "rel_en": "develops", "rel_zh": "ๅผ€ๅ‘"}, {"source": "e:Darwin", "target": "e:ZTC", "rel": "ํŒ์ •์—”์ง„", "rel_en": "judge engine", "rel_zh": "ๅˆคๅฎšๅผ•ๆ“Ž"}, {"source": "e:Darwin", "target": "t:rsi", "rel": "์ž๊ฐ€๊ฐœ์„ ", "rel_en": "self-improve", "rel_zh": "่‡ชๆˆ‘ๆ”น่ฟ›"}]};
// ===== ๋‹ค๊ตญ์–ด =====
let LANG=(navigator.language||"en").slice(0,2);if(!["ko","en","zh"].includes(LANG))LANG="en";
const STR={
ko:{title:"ONGRID",sub:"<b>์˜จํ†จ๋กœ์ง€ ยท ๊ทธ๋ž˜ํ”„ ยท ๋””์‹œ์ „(ZTC)</b> ํ†ตํ•ฉ ์ง€์‹์—”์ง„. ๋ฌธ์„œ๋ฅผ 3D ์˜จํ†จ๋กœ์ง€ ๊ทธ๋ž˜ํ”„๋กœ ๊ตฌ์„ฑํ•˜๊ณ , ์งˆ์˜ํ•˜๋ฉด ๊ทธ๋ž˜ํ”„ ๊ทผ๊ฑฐ๋กœ LLM์ด ๋‹ตํ•˜๋ฉฐ <b>ZTC๊ฐ€ 0ํ† ํฐ์œผ๋กœ ๊ฒ€์ฆ</b>ํ•ฉ๋‹ˆ๋‹ค.<br>๋ฐ์ดํ„ฐ: vidraft.net ๋ณด๋„ 227๊ฑด ยท by VIDRAFT",
upload:"๐Ÿ“ ๋‚ด ๋ฌธ์„œ ์—…๋กœ๋“œ ยท ์ž๋™ ๊ทธ๋ž˜ํ”„ํ™”",demo:"โ†บ ์ƒ˜ํ”Œ(๋ณด๋„์ž๋ฃŒ)๋กœ ๋Œ์•„๊ฐ€๊ธฐ",askph:"์งˆ์˜ ํ”„๋กฌํ”„ํŠธ (์˜ˆ: S1MB 1์œ„ ๋ชจ๋ธ?)",askb:"์งˆ์˜",
exlabel:"์˜ˆ์‹œ ์งˆ์˜ (ํด๋ฆญ)",searchph:"๋…ธ๋“œ ๊ฒ€์ƒ‰โ€ฆ",busy:"๋ถ„์„ยท์ธ๋ฑ์‹ฑ ์ค‘โ€ฆ",thinking:"๊ธฐ์‚ฌ ๊ทผ๊ฑฐ๋กœ LLM ๋‹ต๋ณ€ ์ƒ์„ฑ ์ค‘โ€ฆ",
noconn:"LLM ์„œ๋ฒ„์— ์—ฐ๊ฒฐํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.",evid:"๊ทผ๊ฑฐ ยท ๊ทธ๋ž˜ํ”„ ์‚ฌ์‹ค",nofact:"๊ด€๋ จ ์‚ฌ์‹ค์„ ์ฐพ์ง€ ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค.",
sN:"๋…ธ๋“œ",sL:"๊ด€๊ณ„",sD:"๋ฌธ์„œ",sT:"์ƒ‰์ธ์–ด",conn:"์—ฐ๊ฒฐ",
hint:"๋“œ๋ž˜๊ทธ ํšŒ์ „ ยท ํœ  ํ™•๋Œ€ ยท ๋…ธ๋“œ ํด๋ฆญ = ์ƒ์„ธ ยท ๋ฒ”๋ก€ = ๊ทธ๋ฃน ์ˆจ๊น€<br>์งˆ์˜ํ•˜๋ฉด ๊ทธ๋ž˜ํ”„์—์„œ ๊ด€๋ จ ๊ธฐ์‚ฌยท์‚ฌ์‹ค์„ ์ฐพ์•„ ๊ทธ ๊ทผ๊ฑฐ๋กœ๋งŒ LLM์ด ๋‹ตํ•ฉ๋‹ˆ๋‹ค. ๋‚ด ๋ฌธ์„œ๋ฅผ ์˜ฌ๋ฆฌ๋ฉด ๊ทธ ๋ฌธ์„œ๋กœ ๊ทธ๋ž˜ํ”„๊ฐ€ ๋ฐ”๋€๋‹ˆ๋‹ค.",
ex:["S1MB์—์„œ 1์œ„ํ•œ ๋ชจ๋ธ์€?","Darwin์˜ ์ˆ˜์ƒ ์‹ค์ ์€?","AX-RAY๋Š” ๋ฌด์—‡์ธ๊ฐ€?","๋ณด์•ˆ ๊ด€๋ จ ์†Œ์‹์€?","์ž๊ฐ€๊ฐœ์„ (RSI)์ด๋ž€?","POCKET์€ ๋ฌด์—‡์ธ๊ฐ€?"]},
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:"๐Ÿ“ Upload my docs ยท auto graph",demo:"โ†บ Back to sample (press)",askph:"Ask (e.g. which model tops S1MB?)",askb:"Ask",
exlabel:"Example queries (click)",searchph:"Search nodesโ€ฆ",busy:"Analyzing & indexingโ€ฆ",thinking:"LLM answering from article factsโ€ฆ",
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>ๆœฌไฝ“ ยท ๅ›พ่ฐฑ ยท ๅ†ณ็ญ–(ZTC)</b> ๅผ•ๆ“Žใ€‚ๆ–‡ๆกฃๆž„ๅปบไธบ3Dๆœฌไฝ“ๅ›พ่ฐฑ๏ผŒๅŸบไบŽๅ›พ่ฐฑไบ‹ๅฎžไฝœ็ญ”ๅนถ<b>็”ฑZTC้›ถtoken้ชŒ่ฏ</b>ใ€‚<br>ๆ•ฐๆฎ๏ผšๆŠฅ้“227ๆก ยท by VIDRAFT",
upload:"๐Ÿ“ ไธŠไผ ๆˆ‘็š„ๆ–‡ๆกฃ ยท ่‡ชๅŠจๅ›พ่ฐฑ",demo:"โ†บ ่ฟ”ๅ›ž็คบไพ‹๏ผˆๆŠฅ้“๏ผ‰",askph:"ๆ้—ฎ๏ผˆไพ‹๏ผšๅ“ชไธชๆจกๅž‹ๅœจS1MB็ฌฌไธ€๏ผŸ๏ผ‰",askb:"ๆ้—ฎ",
exlabel:"็คบไพ‹้—ฎ้ข˜๏ผˆ็‚นๅ‡ป๏ผ‰",searchph:"ๆœ็ดข่Š‚็‚นโ€ฆ",busy:"ๅˆ†ๆžไธŽ็ดขๅผ•ไธญโ€ฆ",thinking:"LLM ๆญฃๆ นๆฎๆ–‡็ซ ไบ‹ๅฎžไฝœ็ญ”โ€ฆ",
noconn:"ๆ— ๆณ•่ฟžๆŽฅLLMๆœๅŠกๅ™จใ€‚",evid:"ไพๆฎ ยท ๅ›พ่ฐฑไบ‹ๅฎž",nofact:"ๆœชๆ‰พๅˆฐ็›ธๅ…ณไบ‹ๅฎžใ€‚",
sN:"่Š‚็‚น",sL:"ๅ…ณ็ณป",sD:"ๆ–‡ๆกฃ",sT:"็ดขๅผ•่ฏ",conn:"่ฟžๆŽฅ",
hint:"ๆ‹–ๅŠจๆ—‹่ฝฌ ยท ๆปš่ฝฎ็ผฉๆ”พ ยท ็‚นๅ‡ป่Š‚็‚น็œ‹่ฏฆๆƒ… ยท ๅ›พไพ‹ๅˆ‡ๆขๅˆ†็ป„<br>ๆ้—ฎๆ—ถๆฃ€็ดข็›ธๅ…ณๆ–‡็ซ /ไบ‹ๅฎž๏ผŒLLM ไป…ๆฎๆญคไฝœ็ญ”ใ€‚ไธŠไผ ๆ–‡ๆกฃๅฏ้‡ๅปบๅ›พ่ฐฑใ€‚",
ex:["ๅ“ชไธชๆจกๅž‹ๅœจS1MBๆŽ’็ฌฌไธ€?","Darwin่Žทๅพ—ไบ†ไป€ไนˆๅฅ–?","AX-RAYๆ˜ฏไป€ไนˆ?","ๅฎ‰ๅ…จ็›ธๅ…ณๆ–ฐ้—ป?","RSIๆ˜ฏไป€ไนˆ?","POCKETๆ˜ฏไป€ไนˆ?"]}
};
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=>({"&":"&amp;","<":"&lt;",">":"&gt;"}[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„ ์ค‘์‹ฌ์œผ๋กœ ๋‹น๊ฒจ ์ƒ‰๊น” ํด๋Ÿฌ์Šคํ„ฐ๋ฅผ ํ˜•์„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 ๋ธŒ๋ผ์šฐ์ €์—์„œ WebGL(3D)์„ ์“ธ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.<br>์—ด๋ฆฐ ํƒญ์„ ์ค„์ด๊ฑฐ๋‚˜ ๋ธŒ๋ผ์šฐ์ €๋ฅผ ์ƒˆ๋กœ ์ผ  ๋’ค ์ƒˆ๋กœ๊ณ ์นจํ•ด ์ฃผ์„ธ์š”.</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„ ๋ญ‰์นจ(ํด๋Ÿฌ์Šคํ„ฐ)
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 ๋ Œ๋”๋ง์„ ์‹œ์ž‘ํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค ("+((e&&e.message)||e)+").<br>ํƒญ์„ ์ค„์ด๊ฑฐ๋‚˜ ๋ธŒ๋ผ์šฐ์ €๋ฅผ ์ƒˆ๋กœ ์ผ  ๋’ค ์ƒˆ๋กœ๊ณ ์นจํ•ด ์ฃผ์„ธ์š”.</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:"๊ธฐํƒ€",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 ๊ด€๊ณ„๋กœ ์ •์˜๋˜๋Š” ๊ฐœ๋…)";
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);});
// ===== ์ƒ์„ฑ ์—ฐ์ถœ: ํ”Œ๋ž˜์‹œ + ์นด๋ฉ”๋ผ ํ”Œ๋ผ์ด์ธ + ์นด์šดํŠธ์—… (three ๋ถˆํ•„์š”) =====
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);
}
// ===== ์—…๋กœ๋“œ โ†’ ์ž๋™ ์˜จํ†จ๋กœ์ง€ =====
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("๋ถ„์„ ์‹คํŒจ: "+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๏ผŸ\n])\s+|[\nยทโ€ข]+/).map(s=>s.trim()).filter(s=>s.length>2&&s.length<400);}
function toks(s){return (s.toLowerCase().match(/[a-z0-9]+|[๊ฐ€-ํžฃ]{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"],
[/(.+?)(?:๋Š”|์€|์ด|๊ฐ€)\s*(.+?)(?:์ด๋‹ค|๋‹ค|์ด๋ผ|์ž…๋‹ˆ๋‹ค|์ด์—์š”|์˜ˆ์š”)/,"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:"์“ฐ์ž„(UsedFor)",HasA:"๋ณด์œ (HasA)",CapableOf:"๋Šฅ๋ ฅ(CapableOf)",PartOf:"๋ถ€๋ถ„(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};
}
// ===== ์งˆ์˜: ๊ทธ๋ž˜ํ”„์—์„œ ๊ด€๋ จ ์‚ฌ์‹ค ๊ฒ€์ƒ‰ โ†’ LLM์ด ๊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;}
// ===== ์–ธ์–ด ์ ์šฉ =====
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); // ํ˜„์žฌ ๋ฐ์ดํ„ฐ(์ƒ˜ํ”Œ/์—…๋กœ๋“œ)๋ฅผ ์ƒˆ ์–ธ์–ด๋กœ ์žฌ๊ตฌ์„ฑ
}
[...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€-ํžฃ]{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) ์งˆ์˜์–ด โ†” ๋…ธ๋“œ์˜ ๋ชจ๋“  ์–ธ์–ด ์ด๋ฆ„ ๋งค์นญ (์ •ํ™•>๋‹จ์–ด>๋ถ€๋ถ„)
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; // ํ† ํฐ์ด ๋…ธ๋“œ๋ช… ํฌํ•จ (ํ•œ๊ตญ์–ด ์กฐ์‚ฌ ๋“ฑ: "์–‘์ž๊ด€๋ จ"โ†’"์–‘์ž")
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);
// ๊ทธ๋ž˜ํ”„ ํฌ์ปค์‹ฑ
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||"โ€ฆ";}
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 ํŒ์ •</div><span id='ztcbadge' style='color:var(--muted)'>ZTC-Judge ๊ฒ€์ฆ ์ค‘โ€ฆ</span>";
ans.innerHTML=html;
// ZTC-Judge(ZeroGPU)๋กœ ๋‹ต๋ณ€ ์‹ ๋ขฐ๋„ ํŒ์ • โ€” ๋น„๋™๊ธฐ, ์‹คํŒจํ•ด๋„ ๋‹ต๋ณ€์—” ์˜ํ–ฅ ์—†์Œ
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("์ด์ƒ")>=0?"#34f5c5":(z.verdict&&z.verdict.indexOf("๊ฒ€ํ† ")>=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 ์„œ๋ฒ„ ์ค€๋น„ ์ค‘ โ€” ์ž ์‹œ ํ›„ ๋‹ค์‹œ ์‹œ๋„)";}})
.catch(()=>{const el=document.getElementById("ztcbadge");if(el)el.textContent="(ZTC ๋ฏธ์—ฐ๊ฒฐ)";});}
}
// ===== 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>