{"id":77247,"date":"2026-05-05T08:58:19","date_gmt":"2026-05-05T01:58:19","guid":{"rendered":"https:\/\/hbbgroup.net\/someone-built-an-open-source-theoretical-mythos-to-reverse-engineer-anthropics-most-dangerous-ai\/"},"modified":"2026-05-05T10:09:42","modified_gmt":"2026-05-05T03:09:42","slug":"someone-built-an-open-source-theoretical-mythos-to-reverse-engineer-anthropics-most-dangerous-ai","status":"publish","type":"post","link":"https:\/\/hbbgroup.net\/vi\/someone-built-an-open-source-theoretical-mythos-to-reverse-engineer-anthropics-most-dangerous-ai\/","title":{"rendered":"M\u1ed9t c\u00e1 nh\u00e2n \u0111\u00e3 x\u00e2y d\u1ef1ng m\u1ed9t \u201cTheoretical Mythos\u201d m\u00e3 ngu\u1ed3n m\u1edf nh\u1eb1m reverse-engineer h\u1ec7 th\u1ed1ng AI nguy hi\u1ec3m nh\u1ea5t c\u1ee7a Anthropic"},"content":{"rendered":"<div>\n<h3>T\u00f3m t\u1eaft nhanh:<\/h3>\n<ul>\n<li>OpenMythos l\u00e0 m\u1ed9t b\u1ea3n t\u00e1i d\u1ef1ng t\u1eeb \u0111\u1ea7u (from-scratch) c\u1ee7a ki\u1ebfn tr\u00fac Claude Mythos, \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng ho\u00e0n to\u00e0n t\u1eeb c\u00e1c paper c\u00f4ng khai v\u00e0 suy \u0111o\u00e1n c\u00f3 c\u01a1 s\u1edf.<\/li>\n<li>Claude Mythos l\u00e0 m\u00f4 h\u00ecnh m\u1ea1nh nh\u1ea5t c\u1ee7a Anthropic, b\u1ecb \u201cni\u00eam phong\u201d trong Project Glasswing sau khi t\u1ef1 \u0111\u1ed9ng ph\u00e1t hi\u1ec7n 271 l\u1ed7 h\u1ed5ng c\u1ee7a Firefox v\u00e0 th\u1ef1c hi\u1ec7n m\u00f4 ph\u1ecfng t\u1ea5n c\u00f4ng m\u1ea1ng 32 b\u01b0\u1edbc.<\/li>\n<li>Repo n\u00e0y ch\u1ec9 l\u00e0 khung l\u00fd thuy\u1ebft \u2014 code kh\u00f4ng c\u00f3 weights \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n. N\u00f3 t\u01b0\u01a1ng t\u1ef1 m\u1ed9t n\u1ed7 l\u1ef1c kh\u00e1c c\u1ee7a Vidoc Security, v\u1ed1n \u0111\u00e3 t\u00e1i t\u1ea1o c\u00e1c ph\u00e1t hi\u1ec7n l\u1ed7 h\u1ed5ng c\u1ee7a Mythos b\u1eb1ng c\u00e1c model c\u00f3 s\u1eb5n.<\/li>\n<\/ul>\n<p>N\u1ebfu Anthropic kh\u00f4ng ti\u1ebft l\u1ed9 b\u00ean trong AI nguy hi\u1ec3m nh\u1ea5t c\u1ee7a h\u1ecd, th\u00ec s\u1ebd c\u00f3 ng\u01b0\u1eddi tr\u00ean GitHub t\u1ef1 suy \u0111o\u00e1n.<\/p>\n<p>M\u1ed9t developer t\u00ean Kye Gomez \u0111\u00e3 c\u00f4ng b\u1ed1 OpenMythos \u2014 b\u1ea3n d\u1ef1ng m\u00e3 ngu\u1ed3n m\u1edf v\u1ec1 c\u00e1ch anh tin r\u1eb1ng Claude Mythos ho\u1ea1t \u0111\u1ed9ng b\u00ean trong. Repo n\u00e0y nhanh ch\u00f3ng \u0111\u1ea1t h\u01a1n 10,000 sao tr\u00ean GitHub ch\u1ec9 sau v\u00e0i tu\u1ea7n, \u0111i k\u00e8m m\u1ed9t file \u201creadme\u201d chi ti\u1ebft v\u1edbi c\u00f4ng th\u1ee9c, tr\u00edch d\u1eabn v\u00e0 disclaimer r\u1eb1ng n\u00f3 kh\u00f4ng li\u00ean quan \u0111\u1ebfn Anthropic.<\/p>\n<p>\u0110\u00e2y l\u00e0 suy \u0111o\u00e1n \u2014 nh\u01b0ng l\u00e0 suy \u0111o\u00e1n c\u00f3 c\u1ea5u tr\u00fac, \u0111\u01b0\u1ee3c th\u1ec3 hi\u1ec7n b\u1eb1ng code.<\/p>\n<p>Nh\u1eafc l\u1ea1i nhanh v\u1ec1 Mythos: n\u00f3 xu\u1ea5t hi\u1ec7n c\u00f4ng khai v\u00e0o cu\u1ed1i th\u00e1ng 3 khi Anthropic v\u00f4 t\u00ecnh \u0111\u0103ng t\u1ea3i t\u00e0i li\u1ec7u nh\u00e1p m\u00f4 t\u1ea3 \u0111\u00e2y l\u00e0 model m\u1ea1nh nh\u1ea5t c\u1ee7a h\u1ecd, v\u01b0\u1ee3t c\u1ea3 Opus. Phi\u00ean b\u1ea3n Mythos Preview cho th\u1ea5y kh\u1ea3 n\u0103ng cybersecurity qu\u00e1 m\u1ea1nh \u0111\u1ebfn m\u1ee9c kh\u00f4ng th\u1ec3 ph\u00e1t h\u00e0nh r\u1ed9ng r\u00e3i.<\/p>\n<p>Theo Anthropic, Mythos \u0111\u00e3 ph\u00e1t hi\u1ec7n 271 l\u1ed7 h\u1ed5ng trong Firefox khi test v\u1edbi Mozilla, v\u00e0 tr\u1edf th\u00e0nh AI \u0111\u1ea7u ti\u00ean ho\u00e0n th\u00e0nh m\u00f4 ph\u1ecfng t\u1ea5n c\u00f4ng m\u1ea1ng doanh nghi\u1ec7p g\u1ed3m 32 b\u01b0\u1edbc. Sau \u0111\u00f3, n\u00f3 b\u1ecb gi\u1edbi h\u1ea1n trong Project Glasswing \u2014 m\u1ed9t li\u00ean minh kho\u1ea3ng 40 \u0111\u1ed1i t\u00e1c, bao g\u1ed3m Microsoft, Apple, Amazon v\u00e0 NSA.<\/p>\n<p>C\u00f4ng ch\u00fang kh\u00f4ng \u0111\u01b0\u1ee3c ti\u1ebfp c\u1eadn. V\u00ec v\u1eady Gomez c\u1ed1 g\u1eafng suy ng\u01b0\u1ee3c c\u00e1ch n\u00f3 ho\u1ea1t \u0111\u1ed9ng.<\/p>\n<p>Gi\u1ea3 thuy\u1ebft c\u1ed1t l\u00f5i c\u1ee7a OpenMythos l\u00e0 Mythos s\u1eed d\u1ee5ng Recurrent-Depth Transformer (looped transformer). Thay v\u00ec x\u1ebfp ch\u1ed3ng h\u00e0ng tr\u0103m layer kh\u00e1c nhau, m\u00f4 h\u00ecnh n\u00e0y d\u00f9ng m\u1ed9t s\u1ed1 layer nh\u1ecf v\u00e0 l\u1eb7p l\u1ea1i nhi\u1ec1u l\u1ea7n trong m\u1ed7i forward pass.<\/p>\n<p>N\u00f3i c\u00e1ch kh\u00e1c, c\u00f9ng m\u1ed9t weights nh\u01b0ng \u0111\u01b0\u1ee3c l\u1eb7p l\u1ea1i nhi\u1ec1u v\u00f2ng \u2014 cho ph\u00e9p \u201csuy ngh\u0129 s\u00e2u h\u01a1n\u201d trong kh\u00f4ng gian latent tr\u01b0\u1edbc khi t\u1ea1o ra output.<\/p>\n<p>Repo cho r\u1eb1ng \u0111i\u1ec1u n\u00e0y gi\u1ea3i th\u00edch hai \u0111\u1eb7c \u0111i\u1ec3m c\u1ee7a Mythos: kh\u1ea3 n\u0103ng gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 m\u1edbi v\u01b0\u1ee3t tr\u1ed9i, nh\u01b0ng kh\u1ea3 n\u0103ng ghi nh\u1edb kh\u00f4ng \u1ed5n \u0111\u1ecbnh. \u0110\u00e2y l\u00e0 \u201cd\u1ea5u v\u00e2n tay\u201d c\u1ee7a ki\u1ebfn tr\u00fac loop \u2014 \u01b0u ti\u00ean suy lu\u1eadn h\u01a1n l\u01b0u tr\u1eef.<\/p>\n<p>OpenMythos c\u0169ng tham chi\u1ebfu nghi\u00ean c\u1ee9u Parcae (th\u00e1ng 4\/2026 t\u1eeb UC San Diego v\u00e0 Together AI), gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 m\u1ea5t \u1ed5n \u0111\u1ecbnh c\u1ee7a looped models. M\u1ed9t model Parcae 770M c\u00f3 th\u1ec3 \u0111\u1ea1t ch\u1ea5t l\u01b0\u1ee3ng t\u01b0\u01a1ng \u0111\u01b0\u01a1ng transformer 1.3B. Repo c\u00f2n k\u1ebft h\u1ee3p Multi-Latent Attention c\u1ee7a DeepSeek \u0111\u1ec3 n\u00e9n b\u1ed9 nh\u1edb v\u00e0 ki\u1ebfn tr\u00fac Mixture-of-Experts \u0111\u1ec3 m\u1edf r\u1ed9ng \u0111a l\u0129nh v\u1ef1c.<\/p>\n<p>Tuy nhi\u00ean, repo kh\u00f4ng c\u00f3 weights \u2014 ngh\u0129a l\u00e0 ch\u1ec9 c\u00f3 \u201ck\u1ef9 thu\u1eadt\u201d m\u00e0 ch\u01b0a c\u00f3 \u201cb\u1ed9 n\u00e3o\u201d.<\/p>\n<p>OpenMythos ho\u00e0n to\u00e0n mang t\u00ednh l\u00fd thuy\u1ebft. D\u00f9 \u0111\u1ecbnh ngh\u0129a c\u00e1c model t\u1eeb 1B \u0111\u1ebfn 1T tham s\u1ed1, b\u1ea1n ph\u1ea3i t\u1ef1 train. File readme \u0111\u1ec1 xu\u1ea5t training 3B params v\u1edbi dataset FineWeb-Edu v\u00e0 m\u1ee5c ti\u00eau 30B tokens (theo Chinchilla scaling), t\u01b0\u01a1ng \u0111\u01b0\u01a1ng chi ph\u00ed h\u00e0ng tr\u0103m ngh\u00ecn USD tr\u00ean GPU H100. Hi\u1ec7n ch\u01b0a ai th\u1ef1c hi\u1ec7n.<\/p>\n<h2>V\u00ec sao \u0111i\u1ec1u n\u00e0y quan tr\u1ecdng?<\/h2>\n<p>V\u00ec \u0111\u00e2y l\u00e0 l\u1ea7n th\u1ee9 hai trong m\u1ed9t th\u00e1ng c\u00f3 ng\u01b0\u1eddi \u201ckhoan th\u1ee7ng\u201d l\u1edbp b\u1ea3o m\u1eadt quanh Mythos. Tr\u01b0\u1edbc \u0111\u00f3, Vidoc Security \u0111\u00e3 t\u00e1i t\u1ea1o c\u00e1c ph\u00e1t hi\u1ec7n l\u1ed7 h\u1ed5ng c\u1ee7a Mythos b\u1eb1ng GPT-5.4 v\u00e0 Claude Opus 4.6 trong m\u1ed9t agent m\u00e3 ngu\u1ed3n m\u1edf \u2014 kh\u00f4ng c\u1ea7n Glasswing, chi ph\u00ed d\u01b0\u1edbi $30 m\u1ed7i l\u1ea7n scan.<\/p>\n<p>Hai h\u01b0\u1edbng ti\u1ebfp c\u1eadn kh\u00e1c nhau nh\u01b0ng c\u00f9ng k\u1ebft lu\u1eadn: \u201cmoat\u201d c\u1ee7a Mythos c\u00f3 th\u1ec3 kh\u00f4ng m\u1ea1nh nh\u01b0 qu\u1ea3ng b\u00e1.<\/p>\n<p>Vidoc t\u00e1i t\u1ea1o output (c\u00e1c l\u1ed7 h\u1ed5ng). OpenMythos c\u1ed1 t\u00e1i t\u1ea1o ki\u1ebfn tr\u00fac (c\u1ed7 m\u00e1y t\u1ea1o ra output). M\u1ed9t b\u00ean n\u00f3i b\u1ea1n kh\u00f4ng c\u1ea7n Mythos \u0111\u1ec3 \u0111\u1ea1t k\u1ebft qu\u1ea3. B\u00ean kia n\u00f3i b\u1ea1n c\u00f3 th\u1ec3 t\u1ef1 x\u00e2y m\u1ed9t phi\u00ean b\u1ea3n t\u01b0\u01a1ng t\u1ef1.<\/p>\n<p>Anthropic g\u1ea7n nh\u01b0 ch\u1eafc ch\u1eafn kh\u00f4ng c\u00f4ng b\u1ed1 ki\u1ebfn tr\u00fac th\u1eadt, v\u00e0 OpenMythos c\u0169ng th\u1eeba nh\u1eadn \u0111\u00e2y ch\u1ec9 l\u00e0 gi\u1ea3 thuy\u1ebft \u2014 v\u1edbi nhi\u1ec1u t\u1eeb nh\u01b0 \u201clikely\u201d, \u201csuspected\u201d. Mythos th\u1ef1c t\u1ebf c\u00f3 th\u1ec3 kh\u00e1c ho\u00e0n to\u00e0n.<\/p>\n<p>Nh\u01b0ng \u0111i\u1ec1u OpenMythos cho th\u1ea5y l\u00e0: ph\u1ea7n l\u1edbn c\u00e1c m\u1ea3nh gh\u00e9p \u0111\u00e3 t\u1ed3n t\u1ea1i trong nghi\u00ean c\u1ee9u c\u00f4ng khai. Looped transformer, Mixture-of-Experts, Multi-Latent Attention, Adaptive Computation Time, v\u00e0 Parcae \u2014 t\u1ea5t c\u1ea3 \u0111\u1ec1u kh\u00f4ng \u0111\u1ed9c quy\u1ec1n.<\/p>\n<p>Repo n\u00e0y, v\u1ec1 b\u1ea3n ch\u1ea5t, l\u00e0 m\u1ed9t \u201cb\u1ea3n \u0111\u1ed3\u201d t\u1ed5ng h\u1ee3p nh\u1eefng g\u00ec th\u1ebf gi\u1edbi \u0111\u00e3 bi\u1ebft \u0111\u1ec3 x\u00e2y d\u1ef1ng m\u1ed9t model c\u1ea5p \u0111\u1ed9 Mythos.<\/p>\n<p>Repo s\u1eed d\u1ee5ng gi\u1ea5y ph\u00e9p MIT v\u00e0 \u0111\u00e3 c\u00f3 h\u01a1n 2,700 fork. Script training \u0111\u00e3 s\u1eb5n s\u00e0ng \u2014 ch\u1ec9 ch\u1edd ng\u01b0\u1eddi c\u00f3 \u0111\u1ee7 GPU v\u00e0 tham v\u1ecdng \u0111\u1ec3 ch\u1ee9ng minh.<\/p>\n<\/div>\n<div>\n<h2>B\u1ea3n tin Daily Debrief<\/h2>\n<p>B\u1eaft \u0111\u1ea7u m\u1ed7i ng\u00e0y v\u1edbi nh\u1eefng tin t\u1ee9c n\u1ed5i b\u1eadt nh\u1ea5t, c\u00f9ng c\u00e1c n\u1ed9i dung \u0111\u1ed9c quy\u1ec1n, podcast, video v\u00e0 nhi\u1ec1u h\u01a1n n\u1eefa<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>T\u00f3m t\u1eaft nhanh: OpenMythos l\u00e0 m\u1ed9t b\u1ea3n t\u00e1i d\u1ef1ng t\u1eeb \u0111\u1ea7u (from-scratch) c\u1ee7a ki\u1ebfn tr\u00fac Claude Mythos, \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng [&hellip;]<\/p>","protected":false},"author":5,"featured_media":77248,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[220],"tags":[],"class_list":["post-77247","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tien-dien-tu"],"acf":[],"_links":{"self":[{"href":"https:\/\/hbbgroup.net\/vi\/wp-json\/wp\/v2\/posts\/77247","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hbbgroup.net\/vi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hbbgroup.net\/vi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hbbgroup.net\/vi\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/hbbgroup.net\/vi\/wp-json\/wp\/v2\/comments?post=77247"}],"version-history":[{"count":1,"href":"https:\/\/hbbgroup.net\/vi\/wp-json\/wp\/v2\/posts\/77247\/revisions"}],"predecessor-version":[{"id":77503,"href":"https:\/\/hbbgroup.net\/vi\/wp-json\/wp\/v2\/posts\/77247\/revisions\/77503"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/hbbgroup.net\/vi\/wp-json\/wp\/v2\/media\/77248"}],"wp:attachment":[{"href":"https:\/\/hbbgroup.net\/vi\/wp-json\/wp\/v2\/media?parent=77247"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hbbgroup.net\/vi\/wp-json\/wp\/v2\/categories?post=77247"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hbbgroup.net\/vi\/wp-json\/wp\/v2\/tags?post=77247"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}