{"id":659976,"date":"2026-09-29T12:55:50","date_gmt":"2026-09-29T10:55:50","guid":{"rendered":"https:\/\/preprod.aivancity.ai\/blog\/claude-fable-5-1-and-mythos-5-1-put-to-the-safeguards-test\/"},"modified":"2026-10-23T17:27:35","modified_gmt":"2026-10-23T15:27:35","slug":"claude-fable-5-1-and-mythos-5-1-put-to-the-safeguards-test","status":"publish","type":"post","link":"https:\/\/aivancity.ai\/blog\/en\/claude-fable-5-1-and-mythos-5-1-put-to-the-safeguards-test\/","title":{"rendered":"Claude Fable 5.1 and Mythos 5.1 Put to the Safeguards Test"},"content":{"rendered":"\n<div style=\" margin: 28px 0; padding: 26px 30px; background: linear-gradient(135deg, #f4eee5 0%, #ffffff 100%); border-left: 6px solid #986e13; border-radius: 0 14px 14px 0; box-shadow: 0 5px 18px rgba(59, 75, 132, 0.10); \">\n  <p style=\" margin: 0; color: #26345f; font-family: Arial, sans-serif; font-size: 18px; line-height: 1.75; font-weight: 400; text-align: justify; \">\n    <span style=\" float: left; color: #986e13; font-family: Arial, sans-serif; font-size: 64px; font-weight: 700; line-height: 0.82; margin: 7px 10px 0 0; \">P<\/span>resented by <strong style=\"color: #3358ff;\">Anthropic<\/strong> on\n    <strong>September 1, 2026<\/strong>, <strong>Claude Fable 5.1<\/strong> and\n    <strong>Claude Mythos 5.1<\/strong> are built on the same model, but they do not\n    unlock the same sensitive uses. <strong>Fable<\/strong> is widely\n    available with strengthened safeguards, while <strong>Mythos<\/strong>\n    is reserved for vetted professionals in\n    <strong>cybersecurity and the life sciences<\/strong>. The most important\n    innovation, then, is not two levels of intelligence but a\n    <strong style=\"color: #986e13;\">distribution of capabilities based on\n    identity, context of use and risk.<\/strong>\n  <\/p>\n<\/div>\n\n\n\n<div style=\" display:grid; grid-template-columns:42px 1fr; column-gap:2px; align-items:start; margin:20px 0 30px; \">\n\n  <div style=\" color:#B18418; font-size:23px; line-height:1.2; font-weight:800; letter-spacing:1px; padding-top:5px; \">\n    01\n  <\/div>\n\n  <h2 style=\" margin:0; color:#171D45; font-size:30px; line-height:1.2; font-weight:800; letter-spacing:-0.6px; \">\n  What Anthropic launched\n  <\/h2>\n\n<\/div>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">Anthropic describes Claude Fable 5.1 as a model built for demanding reasoning and long-running agentic work. It accepts text and images as input, produces text, uses tools and handles a context of up to one million tokens. The announced maximum output reaches 128,000 tokens. Adaptive reasoning is always on, and the effort level can be adjusted during a conversation<a href=\"#ref1\" data-type=\"internal\" data-id=\"#ref1\">.<sup>[1]<\/sup><\/a><sup><a href=\"#ref2\">[2]<\/a><\/sup><\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">Claude Mythos 5.1 shares the same capabilities, the same specifications and the same pricing. The difference lies in safeguards and access. Fable 5.1 is available to all Claude API customers and on several partner platforms. Mythos 5.1 is offered through Project Glasswing and Anthropic\u2019s trusted access programs. At launch, access to sensitive capabilities was limited to a set of vetted US organizations, with an international expansion announced but no firm timeline.<sup><a href=\"#ref1\">[1]<\/a><a href=\"#ref2\">[2]<\/a><\/sup><\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">This distinction corrects a misleading reading of the launch. Mythos is not a second, inherently more powerful model. Anthropic states that Fable 5.1 and Mythos 5.1 are the same underlying model. The gaps observed on certain tasks therefore stem mainly from the safety policies that accept, refuse or redirect a request, as well as from the evaluation environment.<sup><a href=\"#ref1\">[1]<\/a>[<a href=\"#ref4\">4]<\/a><\/sup><\/p>\n\n\n\n<div style=\" display:grid; grid-template-columns:42px 1fr; column-gap:2px; align-items:start; margin:20px 0 30px; \">\n\n  <div style=\" color:#B18418; font-size:23px; line-height:1.2; font-weight:800; letter-spacing:1px; padding-top:5px; \">\n    02\n  <\/div>\n\n  <h2 style=\" margin:0; color:#171D45; font-size:30px; line-height:1.2; font-weight:800; letter-spacing:-0.6px; \">\n   What actually changes\n  <\/h2>\n\n<\/div>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The first change concerns long tasks. Anthropic is targeting agentic coding, multi-step research and the production of documents, spreadsheets and presentations. The model can analyze a goal, call a tool, check a result, correct a step and keep working. This loop already existed in other systems. Fable 5.1 mainly seeks to make it more reliable over longer trajectories and in complex professional environments.<sup><a href=\"#ref2\">[2]<\/a><\/sup><\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The second change is economic. Base prices remain set at $10 per million input tokens and $50 per million output tokens. Cache reads, however, drop to $0.25 per million tokens, a quarter of the rate charged for Fable 5. Anthropic estimates that this reduction cuts the cost of typical workloads by about 25% and that of highly agentic tasks by up to about 45%. These percentages are vendor estimates based on four weeks of observed usage in August 2026, not a guarantee that applies to every deployment.<sup><a href=\"#ref1\">[1<\/a><a href=\"#ref2\">][2]<\/a><\/sup><\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The third change concerns the precision of safeguards. Anthropic now allows Fable 5.1 to search for software vulnerabilities in a defensive context and reports about 60% fewer cyber interventions per Claude Code session than with Fable 5\u2019s initial protections. Penetration testing, exploit generation and binary analysis are still redirected to other models. In biology, the company says protections trigger 85% less often on benign requests about basic biology or health, while advanced research remains restricted.<sup>[<a href=\"#ref1\">1]<\/a><\/sup><\/p>\n\n\n\n<p><style>\n.aiv15-pill{display:flex;align-items:center;gap:4px;background:rgba(255,255,255,0.07);border:1px solid rgba(255,255,255,0.11);border-radius:20px;padding:4px 10px;font-size:11.5px;color:rgba(255,255,255,0.72);white-space:nowrap;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;}\n.aiv15-pill svg{width:11px;height:11px;flex-shrink:0;stroke:#3986e1;}\n.aiv15-cta:hover{background:#2f72c8 !important;}\n.aiv15-badge-inner{display:inline-flex;align-items:center;gap:5px;background:rgba(57,134,225,0.12);border:1px solid rgba(57,134,225,0.35);border-radius:20px;padding:3px 10px;}\n.aiv15-badge-dot{width:5px;height:5px;border-radius:50%;background:#3986e1;display:inline-block;flex-shrink:0;}\n@media(max-width:640px){\n  .aiv15-responsive{flex-direction:column !important;}\n  .aiv15-img-wrap{width:100% !important;height:180px !important;}\n  .aiv15-img-overlay{background:linear-gradient(to bottom,rgba(35,38,65,0) 30%,rgba(35,38,65,1) 100%) !important;}\n  .aiv15-body-wrap{padding:18px 20px 24px !important;}\n  .aiv15-logo-img{width:150px !important;}\n  .aiv15-cta{width:100% !important;text-align:center !important;display:block !important;}\n  .aiv15-badge-hide{display:none !important;}\n}\n<\/style>\n<\/p><div style=\"background:#232641;border-radius:16px;overflow:hidden;margin:40px 0;box-sizing:border-box;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;\">\n  <div class=\"aiv15-responsive\" style=\"display:flex !important;flex-direction:row !important;min-height:240px;\">\n    <div class=\"aiv15-img-wrap\" style=\"width:42% !important;flex-shrink:0 !important;position:relative;overflow:hidden;\">\n      <img decoding=\"async\" src=\"https:\/\/aivancity.ai\/sites\/default\/files\/2026-09\/illu-grc-admissions-1-vignette.jpg\" alt=\"MSc AI Governance, Risk &amp; Compliance aivancity\" style=\"width:100% !important;height:100% !important;object-fit:cover !important;object-position:center top !important;display:block !important;filter:brightness(0.9);\">\n      <div class=\"aiv15-img-overlay\" style=\"position:absolute;inset:0;background:linear-gradient(to right,rgba(35,38,65,0) 40%,rgba(35,38,65,0.7) 75%,rgba(35,38,65,1) 100%);\"><\/div>\n    <\/div>\n    <div class=\"aiv15-body-wrap\" style=\"flex:1;padding:26px 32px 26px 22px;display:flex !important;flex-direction:column !important;justify-content:space-between;gap:14px;position:relative;z-index:1;box-sizing:border-box;\">\n      <img decoding=\"async\" class=\"aiv15-logo-img\" src=\"https:\/\/aivancity.ai\/blog\/wp-content\/uploads\/2026\/05\/BLANC-FRANCAIS-COMPLET.png\" alt=\"aivancity\" style=\"width:170px !important;height:auto !important;display:block !important;max-width:170px !important;opacity:0.95;\">\n      <div style=\"display:flex;flex-direction:column;gap:10px;flex:1;justify-content:center;\">\n        <h2 style=\"font-size:22px;font-weight:700;color:#fff;line-height:1.25;margin:0;\">MSc AI Governance, <span style=\"color:#3986e1;\">Risk &amp; Compliance<\/span><\/h2>\n        <p style=\"font-size:13px;color:rgba(255,255,255,0.58);line-height:1.55;max-width:400px;margin:0;\">The Bac+6 program that trains legal professionals to understand AI and data technologies so they can master their governance, risks and compliance.<\/p>\n        <div style=\"display:flex;flex-wrap:wrap;gap:6px;\">\n          <span class=\"aiv15-pill\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke-width=\"2\"><circle cx=\"12\" cy=\"12\" r=\"10\"><\/circle><polyline points=\"12 6 12 12 16 14\"><\/polyline><\/svg>12 months \u2014 Bac+6<\/span>\n          <span class=\"aiv15-pill\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke-width=\"2\"><path d=\"M17 21v-2a4 4 0 0 0-4-4H5a4 4 0 0 0-4 4v2\"><\/path><circle cx=\"9\" cy=\"7\" r=\"4\"><\/circle><\/svg>Entry at Bac+5<\/span>\n          <span class=\"aiv15-pill\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke-width=\"2\"><polyline points=\"20 6 9 17 4 12\"><\/polyline><\/svg>Alternating internship, full-time or continuing education<\/span>\n          <span class=\"aiv15-pill\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke-width=\"2\"><path d=\"M12 2C8.13 2 5 5.13 5 9c0 5.25 7 13 7 13s7-7.75 7-13c0-3.87-3.13-7-7-7z\"><\/path><circle cx=\"12\" cy=\"9\" r=\"2.5\"><\/circle><\/svg>Paris-Villejuif campus<\/span>\n        <\/div>\n      <\/div>\n      <div style=\"display:flex;align-items:center;justify-content:space-between;flex-wrap:wrap;gap:10px;\">\n        <a class=\"aiv15-cta\" href=\"https:\/\/aivancity.ai\/en\/program\/msc-ai-governance-risk-and-compliance\/presentation\" target=\"_blank\" rel=\"noopener noreferrer\" style=\"background:#3986e1 !important;color:#fff !important;font-size:13.5px;font-weight:600;padding:10px 24px;border-radius:8px;text-decoration:none !important;white-space:nowrap;display:inline-block !important;\">\n          Explore the program \u2192\n        <\/a>\n        <span class=\"aiv15-badge-hide aiv15-badge-inner\">\n          <span class=\"aiv15-badge-dot\"><\/span>\n          <span style=\"font-size:10.5px;color:#3986e1;font-weight:600;letter-spacing:0.04em;text-transform:uppercase;\">RNCP Level 7 certification<\/span>\n        <\/span>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/div><p><\/p>\n\n\n\n<div style=\" display:grid; grid-template-columns:42px 1fr; column-gap:2px; align-items:start; margin:20px 0 30px; \">\n\n  <div style=\" color:#B18418; font-size:23px; line-height:1.2; font-weight:800; letter-spacing:1px; padding-top:5px; \">\n    03\n  <\/div>\n\n  <h2 style=\" margin:0; color:#171D45; font-size:30px; line-height:1.2; font-weight:800; letter-spacing:-0.6px; \">\n   How differentiated access works\n  <\/h2>\n\n<\/div>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The model processes a request within a broader system that includes risk classifiers, usage policies, routing rules, tool permissions and account characteristics. The same technical capability can therefore produce three different outcomes: a direct answer, a redirection to a model deemed more suitable, or a refusal. In sensitive domains, verified identity and membership in an authorized program can change the policy that applies.<\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">This architecture brings agentic AI closer to a privilege-based system. In IT infrastructure, two users can run the same software with different rights. Here, Fable 5.1 and Mythos 5.1 share the engine, but the governance layer determines which requests can be processed and which actions the environment allows. Identity, however, is only a signal of trust. It guarantees neither the legitimacy of each request nor the safety of each trajectory.<\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">Enterprise Frontier Safeguards adds a layer designed for businesses. Anthropic says data and logs can remain within cloud infrastructure controlled by the customer, with human review performed by the customer by default. The vendor presents this setup as compatible with a level of confidentiality equivalent to a zero-retention policy, while keeping automated abuse-detection mechanisms in place. Rollout is gradual. Absent express authorization, the documentation specifies a thirty-day retention period for Fable 5.1 and Mythos 5.1.<sup><a href=\"#ref2\">[2]<\/a><a href=\"#ref5\">[5]<\/a><\/sup><\/p>\n\n\n\n<div style=\" display:grid; grid-template-columns:42px 1fr; column-gap:2px; align-items:start; margin:20px 0 30px; \">\n\n  <div style=\" color:#B18418; font-size:23px; line-height:1.2; font-weight:800; letter-spacing:1px; padding-top:5px; \">\n    04\n  <\/div>\n\n  <h2 style=\" margin:0; color:#171D45; font-size:30px; line-height:1.2; font-weight:800; letter-spacing:-0.6px; \">\n  Technology Framework\n  <\/h2>\n\n<\/div>\n\n\n\n<div style=\"width: 100%; margin: 28px auto; overflow-x: auto;\">\n  <table style=\" width: 100%; border-collapse: separate; border-spacing: 0; font-family: Arial, sans-serif; font-size: 16px; line-height: 1.55; color: #26345f; border: 1px solid #d9dce8; border-radius: 12px; overflow: hidden; box-shadow: 0 5px 18px rgba(59, 75, 132, 0.10); \">\n    <thead>\n      <tr>\n        <th style=\" width: 28%; padding: 16px 18px; background-color: #3b4b84; color: #ffffff; text-align: left; vertical-align: middle; border-right: 1px solid rgba(255, 255, 255, 0.25); \">\n          Capability or constraint\n        <\/th>\n\n        <th style=\" width: 72%; padding: 16px 18px; background-color: #3b4b84; color: #ffffff; text-align: left; vertical-align: middle; \">\n          What to understand\n        <\/th>\n      <\/tr>\n    <\/thead>\n\n    <tbody>\n      <tr>\n        <td style=\" padding: 15px 18px; background-color: #ffffff; font-weight: 700; vertical-align: middle; border-right: 1px solid #d9dce8; border-bottom: 1px solid #d9dce8; \">\n          Common foundation\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #ffffff; vertical-align: middle; border-bottom: 1px solid #d9dce8; \">\n          Fable 5.1 and Mythos 5.1 use the same model. Access policies and safeguards create the operational difference.\n        <\/td>\n      <\/tr>\n\n      <tr>\n        <td style=\" padding: 15px 18px; background-color: #f4f6fb; font-weight: 700; vertical-align: middle; border-right: 1px solid #d9dce8; border-bottom: 1px solid #d9dce8; \">\n          Context\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #f4f6fb; vertical-align: middle; border-bottom: 1px solid #d9dce8; \">\n          One million tokens announced, with no guarantee that every piece of information in such a long context is used with the same precision.\n        <\/td>\n      <\/tr>\n\n      <tr>\n        <td style=\" padding: 15px 18px; background-color: #ffffff; font-weight: 700; vertical-align: middle; border-right: 1px solid #d9dce8; border-bottom: 1px solid #d9dce8; \">\n          Output\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #ffffff; vertical-align: middle; border-bottom: 1px solid #d9dce8; \">\n          Up to 128,000 tokens. Long outputs and trajectories increase cost, duration and the surface for errors.\n        <\/td>\n      <\/tr>\n\n      <tr>\n        <td style=\" padding: 15px 18px; background-color: #f4f6fb; font-weight: 700; vertical-align: middle; border-right: 1px solid #d9dce8; border-bottom: 1px solid #d9dce8; \">\n          Reasoning\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #f4f6fb; vertical-align: middle; border-bottom: 1px solid #d9dce8; \">\n          Adaptive reasoning always on, with an adjustable effort parameter. Maximum effort consumes more compute.\n        <\/td>\n      <\/tr>\n\n      <tr>\n        <td style=\" padding: 15px 18px; background-color: #ffffff; font-weight: 700; vertical-align: middle; border-right: 1px solid #d9dce8; border-bottom: 1px solid #d9dce8; \">\n          Modalities\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #ffffff; vertical-align: middle; border-bottom: 1px solid #d9dce8; \">\n          Text and images as input, text as output. Actions depend on the tools connected to the model.\n        <\/td>\n      <\/tr>\n\n      <tr>\n        <td style=\" padding: 15px 18px; background-color: #f4f6fb; font-weight: 700; vertical-align: middle; border-right: 1px solid #d9dce8; border-bottom: 1px solid #d9dce8; \">\n          Tools\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #f4f6fb; vertical-align: middle; border-bottom: 1px solid #d9dce8; \">\n          Coding, terminal, search, documents and interfaces depending on the product. Forced tool calls are not supported on these models.\n        <\/td>\n      <\/tr>\n\n      <tr>\n        <td style=\" padding: 15px 18px; background-color: #ffffff; font-weight: 700; vertical-align: middle; border-right: 1px solid #d9dce8; border-bottom: 1px solid #d9dce8; \">\n          API pricing\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #ffffff; vertical-align: middle; border-bottom: 1px solid #d9dce8; \">\n          $10 per million input tokens, $50 per million output tokens and $0.25 for cache reads.\n        <\/td>\n      <\/tr>\n\n      <tr>\n        <td style=\" padding: 15px 18px; background-color: #f4f6fb; font-weight: 700; vertical-align: middle; border-right: 1px solid #d9dce8; border-bottom: 1px solid #d9dce8; \">\n          Sensitive access\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #f4f6fb; vertical-align: middle; border-bottom: 1px solid #d9dce8; \">\n          Mythos 5.1 is reserved for trusted programs in cyber defense and the life sciences.\n        <\/td>\n      <\/tr>\n\n      <tr>\n        <td style=\" padding: 15px 18px; background-color: #ffffff; font-weight: 700; vertical-align: middle; border-right: 1px solid #d9dce8; \">\n          Data\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #ffffff; vertical-align: middle; \">\n          Thirty-day retention by default, unless specifically authorized otherwise. EFS provides for storage and review under the customer\u2019s control.\n        <\/td>\n      <\/tr>\n    <\/tbody>\n  <\/table>\n<\/div>\n\n\n\n<div style=\" display:grid; grid-template-columns:42px 1fr; column-gap:2px; align-items:start; margin:20px 0 30px; \">\n\n  <div style=\" color:#B18418; font-size:23px; line-height:1.2; font-weight:800; letter-spacing:1px; padding-top:5px; \">\n    05\n  <\/div>\n\n  <h2 style=\" margin:0; color:#171D45; font-size:30px; line-height:1.2; font-weight:800; letter-spacing:-0.6px; \">\nWhy this architecture matters for organizations\n  <\/h2>\n\n<\/div>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">For a business, the distinction between capability and permission is more useful than a general ranking of models. An agent may know how to modify a software repository, consult a customer file or launch an analysis without needing to hold those rights permanently. Choosing a model therefore does not replace the principle of least privilege, human approvals, logging or the separation between test and production environments.<\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The lower cache cost may make some long workflows more accessible. An agent that rereads the same instructions, documents and intermediate results pays less for that part of the context. The real gain, however, depends on how the task is structured. A job that reuses a lot of context will benefit more from caching than a series of independent requests. The cost per job must also factor in tool calls, infrastructure, retries and human review time.<\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The same reasoning applies to professional roles. Development, security, research and analytics teams can delegate longer subtasks, but they must define success criteria, verify sources and know when to stop a trajectory. Professional expertise remains necessary to tell a plausible result from an acceptable one, especially when the model writes code, interprets an experiment or acts on a real system.<\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">In the life sciences, Anthropic reports results that deserve attention. Mythos 5.1 reportedly achieved a success rate close to 50% in designing binding proteins tested against twelve targets, after external experimental validation. The model also reportedly sped up seven computational biology models by as much as 2.5 times, with estimated savings of 30% to 60% on certain computations. These are case studies announced by the vendor. They do not demonstrate a general capability for autonomous scientific discovery.<sup><a href=\"#ref1\">[1]<\/a><\/sup><\/p>\n\n\n\n<style>\n.aiv10-pill{display:flex;align-items:center;gap:4px;background:rgba(255,255,255,0.07);border:1px solid rgba(255,255,255,0.11);border-radius:20px;padding:4px 10px;font-size:11.5px;color:rgba(255,255,255,0.72);white-space:nowrap;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;}\n.aiv10-pill svg{width:11px;height:11px;flex-shrink:0;stroke:#3986e1;}\n.aiv10-cta:hover{background:#2f72c8 !important;}\n.aiv10-badge-inner{display:inline-flex;align-items:center;gap:5px;background:rgba(57,134,225,0.12);border:1px solid rgba(57,134,225,0.35);border-radius:20px;padding:3px 10px;}\n.aiv10-badge-dot{width:5px;height:5px;border-radius:50%;background:#3986e1;display:inline-block;flex-shrink:0;}\n@media(max-width:640px){\n  .aiv10-responsive{flex-direction:column !important;}\n  .aiv10-img-wrap{width:100% !important;height:180px !important;}\n  .aiv10-img-overlay{background:linear-gradient(to bottom,rgba(35,38,65,0) 30%,rgba(35,38,65,1) 100%) !important;}\n  .aiv10-body-wrap{padding:18px 20px 24px !important;}\n  .aiv10-logo-img{width:150px !important;}\n  .aiv10-cta{width:100% !important;text-align:center !important;display:block !important;}\n  .aiv10-badge-hide{display:none !important;}\n}\n<\/style>\n\n<div style=\"background:#232641;border-radius:16px;overflow:hidden;margin:40px 0;box-sizing:border-box;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;\">\n  <div class=\"aiv10-responsive\" style=\"display:flex !important;flex-direction:row !important;min-height:240px;\">\n\n    <div class=\"aiv10-img-wrap\" style=\"width:42% !important;flex-shrink:0 !important;position:relative;overflow:hidden;\">\n      <img decoding=\"async\" src=\"https:\/\/aivancity.ai\/sites\/default\/files\/2025-11\/vignette-msc-ia-gen.jpg\"\n           alt=\"MSc Generative and Agentic AI aivancity\"\n           style=\"width:100% !important;height:100% !important;object-fit:cover !important;object-position:center top !important;display:block !important;filter:brightness(0.9);\"\/>\n      <div class=\"aiv10-img-overlay\" style=\"position:absolute;inset:0;background:linear-gradient(to right,rgba(35,38,65,0) 40%,rgba(35,38,65,0.7) 75%,rgba(35,38,65,1) 100%);\"><\/div>\n    <\/div>\n\n    <div class=\"aiv10-body-wrap\" style=\"flex:1;padding:26px 32px 26px 22px;display:flex !important;flex-direction:column !important;justify-content:space-between;gap:14px;position:relative;z-index:1;box-sizing:border-box;\">\n\n      <img decoding=\"async\" class=\"aiv10-logo-img\"\n           src=\"https:\/\/aivancity.ai\/blog\/wp-content\/uploads\/2026\/05\/BLANC-FRANCAIS-COMPLET.png\"\n           alt=\"aivancity\"\n           style=\"width:170px !important;height:auto !important;display:block !important;max-width:170px !important;opacity:0.95;\"\/>\n\n      <div style=\"display:flex;flex-direction:column;gap:10px;flex:1;justify-content:center;\">\n        <h2 style=\"font-size:22px;font-weight:700;color:#fff;line-height:1.25;margin:0;\">MSc <span style=\"color:#3986e1;\">Generative AI<\/span><br>and Agentic AI<\/h2>\n        <p style=\"font-size:13px;color:rgba(255,255,255,0.58);line-height:1.55;max-width:400px;margin:0;\">Become an expert in generative and agentic AI: LLMs, transformers, enterprise deployment. Silicon Valley learning trip included. RNCP Level 7 certification (Bac+6).<\/p>\n        <div style=\"display:flex;flex-wrap:wrap;gap:6px;\">\n          <span class=\"aiv10-pill\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke-width=\"2\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><polyline points=\"12 6 12 12 16 14\"\/><\/svg>12 months \u2014 Bac+6<\/span>\n          <span class=\"aiv10-pill\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke-width=\"2\"><path d=\"M17 21v-2a4 4 0 0 0-4-4H5a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><\/svg>Bac+5 with experience<\/span>\n          <span class=\"aiv10-pill\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke-width=\"2\"><polyline points=\"20 6 9 17 4 12\"\/><\/svg>Part-time \u2014 Fridays &amp; Saturdays<\/span>\n          <span class=\"aiv10-pill\"><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke-width=\"2\"><path d=\"M12 2C8.13 2 5 5.13 5 9c0 5.25 7 13 7 13s7-7.75 7-13c0-3.87-3.13-7-7-7z\"\/><circle cx=\"12\" cy=\"9\" r=\"2.5\"\/><\/svg>Paris-Villejuif campus<\/span>\n        <\/div>\n      <\/div>\n\n      <div style=\"display:flex;align-items:center;justify-content:space-between;flex-wrap:wrap;gap:10px;\">\n        <a class=\"aiv10-cta\" href=\"https:\/\/aivancity.ai\/en\/program\/msc-intelligences-artificielles-generatives\/presentation\" target=\"_blank\" rel=\"noopener noreferrer\"\n           style=\"background:#3986e1 !important;color:#fff !important;font-size:13.5px;font-weight:600;padding:10px 24px;border-radius:8px;text-decoration:none !important;white-space:nowrap;display:inline-block !important;\">\n          Explore the program \u2192\n        <\/a>\n        <span class=\"aiv10-badge-hide aiv10-badge-inner\">\n          <span class=\"aiv10-badge-dot\"><\/span>\n          <span style=\"font-size:10.5px;color:#3986e1;font-weight:600;letter-spacing:0.04em;text-transform:uppercase;\">RNCP Level 7 certification<\/span>\n        <\/span>\n      <\/div>\n\n    <\/div>\n  <\/div>\n<\/div>\n\n\n\n<div style=\" display:grid; grid-template-columns:42px 1fr; column-gap:2px; align-items:start; margin:20px 0 30px; \">\n\n  <div style=\" color:#B18418; font-size:23px; line-height:1.2; font-weight:800; letter-spacing:1px; padding-top:5px; \">\n    06\n  <\/div>\n\n  <h2 style=\" margin:0; color:#171D45; font-size:30px; line-height:1.2; font-weight:800; letter-spacing:-0.6px; \">\n What the results actually support\n  <\/h2>\n\n<\/div>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The tables published by Anthropic show Fable 5.1 improving on agentic coding, assisted scientific research and professional workflows. They do not prove general superiority. Scores depend on the effort level, the harness, the tools, the safeguards and the scoring method. The gap between Fable and Mythos on Terminal-Bench 4.0 shows precisely that safety policy can change observed performance even when the base model is identical.<sup><a href=\"#ref1\">[1]<\/a><\/sup><\/p>\n\n\n\n<div style=\"width: 100%; margin: 28px auto; overflow-x: auto;\">\n  <table style=\" width: 100%; min-width: 760px; border-collapse: separate; border-spacing: 0; font-family: Arial, sans-serif; font-size: 16px; line-height: 1.55; color: #26345f; border: 1px solid #e0d5bd; border-radius: 12px; overflow: hidden; box-shadow: 0 5px 18px rgba(152, 110, 19, 0.12); text-align: center; \">\n    <thead>\n      <tr>\n        <th style=\" width: 22%; padding: 16px 18px; background-color: #986e13; color: #ffffff; text-align: center; vertical-align: middle; border-right: 1px solid rgba(255,255,255,0.25); \">\n          Evaluation\n        <\/th>\n\n        <th style=\" width: 15%; padding: 16px 18px; background-color: #986e13; color: #ffffff; text-align: center; vertical-align: middle; border-right: 1px solid rgba(255,255,255,0.25); \">\n          Fable 5\n        <\/th>\n\n        <th style=\" width: 15%; padding: 16px 18px; background-color: #986e13; color: #ffffff; text-align: center; vertical-align: middle; border-right: 1px solid rgba(255,255,255,0.25); \">\n          Fable 5.1\n        <\/th>\n\n        <th style=\" width: 48%; padding: 16px 18px; background-color: #986e13; color: #ffffff; text-align: center; vertical-align: middle; \">\n          Cautious reading\n        <\/th>\n      <\/tr>\n    <\/thead>\n\n    <tbody>\n\n      <tr>\n        <td style=\" padding: 15px 18px; background-color: #ffffff; font-weight: 700; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; border-bottom: 1px solid #e0d5bd; \">\n          Terminal-Bench Science 0.1\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #ffffff; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; border-bottom: 1px solid #e0d5bd; \">\n          24.7%\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #ffffff; color: #986e13; font-weight: 700; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; border-bottom: 1px solid #e0d5bd; \">\n          52.6%\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #ffffff; text-align: center; vertical-align: middle; border-bottom: 1px solid #e0d5bd; \">\n          Significant gain, with a reported standard error of 3.5 to 4.5 points and a setup different from the public leaderboard.\n        <\/td>\n      <\/tr>\n\n      <tr>\n        <td style=\" padding: 15px 18px; background-color: #faf7f0; font-weight: 700; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; border-bottom: 1px solid #e0d5bd; \">\n          Terminal-Bench 4.0\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #faf7f0; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; border-bottom: 1px solid #e0d5bd; \">\n          42.0%\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #faf7f0; color: #986e13; font-weight: 700; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; border-bottom: 1px solid #e0d5bd; \">\n          55.8%\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #faf7f0; text-align: center; vertical-align: middle; border-bottom: 1px solid #e0d5bd; \">\n          Mythos 5.1 reaches 60.9%. The gap does not reflect a different model but, among other things, different safeguards.\n        <\/td>\n      <\/tr>\n\n      <tr>\n        <td style=\" padding: 15px 18px; background-color: #ffffff; font-weight: 700; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; border-bottom: 1px solid #e0d5bd; \">\n          AutomationBench\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #ffffff; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; border-bottom: 1px solid #e0d5bd; \">\n          17.1%\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #ffffff; color: #986e13; font-weight: 700; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; border-bottom: 1px solid #e0d5bd; \">\n          31.4%\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #ffffff; text-align: center; vertical-align: middle; border-bottom: 1px solid #e0d5bd; \">\n          The published score uses Opus 5 as a fallback on about 40% of the 657 tasks. The reported cost does not fully cover this combination.\n        <\/td>\n      <\/tr>\n\n      <tr>\n        <td style=\" padding: 15px 18px; background-color: #faf7f0; font-weight: 700; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; border-bottom: 1px solid #e0d5bd; \">\n          OSWorld 2.0\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #faf7f0; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; border-bottom: 1px solid #e0d5bd; \">\n          36.1% strict\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #faf7f0; color: #986e13; font-weight: 700; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; border-bottom: 1px solid #e0d5bd; \">\n          41.7% strict\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #faf7f0; text-align: center; vertical-align: middle; border-bottom: 1px solid #e0d5bd; \">\n          The partial score reaches 77.9%, but it should not be confused with the strict task completion rate.\n        <\/td>\n      <\/tr>\n\n      <tr>\n        <td style=\" padding: 15px 18px; background-color: #ffffff; font-weight: 700; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; \">\n          CursorBench 3.2.0\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #ffffff; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; \">\n          70.5%\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #ffffff; color: #986e13; font-weight: 700; text-align: center; vertical-align: middle; border-right: 1px solid #e0d5bd; \">\n          73.4%\n        <\/td>\n\n        <td style=\" padding: 15px 18px; background-color: #ffffff; text-align: center; vertical-align: middle; \">\n          Cursor\u2019s result at maximum effort. A 2.9-point gap does not describe every project or every cost.\n        <\/td>\n      <\/tr>\n\n    <\/tbody>\n  <\/table>\n<\/div>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">AutomationBench calls for particular caution. Zapier\u2019s leaderboard specifies that steps refused by Fable 5.1 were taken over by Opus 5 and that this fallback model stepped in on about 260 of the 657 tasks. The 31.4% score therefore measures a combined system, while the published cost per task covers only Fable 5.1. Comparing this figure with a model used on its own without reproducing the routing would be misleading<a href=\"#ref6\">.<sup>[6]<\/sup><\/a><\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">OSWorld 2.0 distinguishes between partial score and strict success. Fable 5.1 scores 77.9% with partial credit but 41.7% under the strict criterion. The first score rewards steps completed within a workflow; the second requires more complete success. Anthropic also notes that the August 2026 tasks are not directly comparable with earlier versions of the benchmark<a href=\"#ref1\">.<sup>[1]<\/sup><\/a><\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">CursorBench adds an external signal to Anthropic\u2019s table, since Cursor reports 73.4% at maximum effort. The benchmark nonetheless relies on tasks and an environment specific to Cursor. It sheds light on interactive coding, not on software engineering as a whole, production maintenance or the safety of code changes.<sup><a href=\"#ref7\">[7]<\/a><\/sup><\/p>\n\n\n\n<div style=\" display:grid; grid-template-columns:42px 1fr; column-gap:2px; align-items:start; margin:20px 0 30px; \">\n\n  <div style=\" color:#B18418; font-size:23px; line-height:1.2; font-weight:800; letter-spacing:1px; padding-top:5px; \">\n    07\n  <\/div>\n\n  <h2 style=\" margin:0; color:#171D45; font-size:30px; line-height:1.2; font-weight:800; letter-spacing:-0.6px; \">\n   Safeguards create their own governance problem\n  <\/h2>\n\n<\/div>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">Tiered access addresses a real dilemma. Protection that is too broad blocks legitimate defensive or scientific work. Uncontrolled openness lowers the barriers to offensive uses. Anthropic has chosen to vet certain organizations and make Mythos more permissive within their domain. This solution shifts part of the problem to program governance: admission criteria, duration of authorization, usage monitoring, incident handling and revocation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Verifying an identity or an affiliation is not enough to establish the purpose of a request. An approved organization can be compromised, an account can be hijacked, and a seemingly defensive request can serve an offensive operation. Trusted access programs must therefore combine identity, tool controls, usage limits, behavioral monitoring and action audits. The level of privilege should remain proportionate to the task rather than become a permanent right.<\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">Anthropic says it has not identified any critical-severity cyber jailbreak in its internal and external testing. This wording does not mean a bypass is impossible. It describes the outcome of a set of tests at a given date. The company also acknowledges that Mythos 5.1 can sometimes circumvent approvals or auto-mode classifiers, and that its audits provide weaker coverage of very long contexts and multi-agent environments.<sup><a href=\"#ref1\">[1]<\/a><a href=\"#ref3\">[3]<\/a><\/sup><\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">EFS raises another question of accountability. Storing data on the customer side reduces data exposure to Anthropic and makes it easier to comply with strict internal policies. In return, the customer organization takes on a more visible share of the review, log retention and alert response. The confidentiality promise must therefore be assessed in light of the full architecture, the people authorized to access the data and the customer\u2019s actual ability to handle incidents.<sup><a href=\"#ref5\" data-type=\"internal\" data-id=\"#ref5\">[5]<\/a><\/sup><\/p>\n\n\n\n<div style=\" display:grid; grid-template-columns:42px 1fr; column-gap:2px; align-items:start; margin:20px 0 30px; \">\n\n  <div style=\" color:#B18418; font-size:23px; line-height:1.2; font-weight:800; letter-spacing:1px; padding-top:5px; \">\n    08\n  <\/div>\n\n  <h2 style=\" margin:0; color:#171D45; font-size:30px; line-height:1.2; font-weight:800; letter-spacing:-0.6px; \">\nLegal obligations remain tied to use\n  <\/h2>\n\n<\/div>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">In the European Union, obligations for providers of general-purpose AI models have been in force since August 2, 2025. They cover, among other things, technical documentation, information for downstream providers, a copyright compliance policy and the publication of a summary of training content. Additional requirements apply to models classified as posing systemic risk, including risk assessment, incident reporting and cybersecurity. The AI Office and national authorities began enforcing and overseeing the regulation on August 2, 2026.<sup>[<a href=\"#ref8\" data-type=\"internal\" data-id=\"#ref8\">8]<\/a><\/sup><\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">These rules are not enough to determine the legal status of every deployment of Fable 5.1 or Mythos 5.1. Regulatory status depends on the actor\u2019s role, the model involved and the system into which it is integrated. Anthropic\u2019s publications on its own risk levels do not amount to a classification decision by a European authority. A deployer must therefore analyze its concrete use case, its data, the people affected and the decisions to which the agent contributes.<\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The GDPR continues to apply whenever an agent processes personal data. Reduced retention on the vendor side does not relieve the customer company of the need to define a purpose, a legal basis, a retention period, access rights and security measures. If a system alone makes a decision that produces a legal effect or significantly affects a person, the restrictions on fully automated decision-making must also be examined. Human oversight must then be real and capable of changing the outcome, not merely formal.<sup><a href=\"#ref9\">[9]<\/a>[<a href=\"#ref10\">10]<\/a><\/sup><\/p>\n\n\n\n<div style=\" display:grid; grid-template-columns:42px 1fr; column-gap:2px; align-items:start; margin:20px 0 30px; \">\n\n  <div style=\" color:#B18418; font-size:23px; line-height:1.2; font-weight:800; letter-spacing:1px; padding-top:5px; \">\n    09\n  <\/div>\n\n  <h2 style=\" margin:0; color:#171D45; font-size:30px; line-height:1.2; font-weight:800; letter-spacing:-0.6px; \">\nWhat to watch next\n  <\/h2>\n\n<\/div>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The first question concerns the real effectiveness of differentiated safeguards. False positives, bypasses, reported incidents and the way Anthropic revises request categories will all need to be tracked. Fewer interventions are useful if they improve access for legitimate uses without increasing dangerous responses. The refusal rate alone cannot verify that balance.<\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The second question concerns access. The criteria applied to the cyber and life sciences programs will need to be precise enough to reduce risk, yet transparent enough to limit arbitrary decisions and disparities between large organizations, independent researchers and countries. The announced expansion beyond the United States will be an important test of this governance.<\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">The third question is operational. Companies will need to measure full success rates, cost per task, human rework, permission-related incidents and log quality. Benchmarks show that Fable 5.1 is improving, but they also reveal gaps between partial and strict success, as well as the influence of routing to other models.<\/p>\n\n\n\n<p class=\"text-justify wp-block-paragraph\">Fable 5.1 and Mythos 5.1 thus offer a concrete response to the spread of dual-use capabilities: a single model can be offered with different rights and protections. The reach of this approach will depend less on the model\u2019s label than on the quality of vetting, the ability to audit actions and the accountability assumed by the vendor, the customer and the user when the agent acts on a real system.<\/p>\n\n\n\n<section style=\" width: 100%; margin: 34px auto; padding: 30px; box-sizing: border-box; background-color: #3b4b84; border-radius: 16px; box-shadow: 0 8px 24px rgba(38, 52, 95, 0.18); font-family: Arial, sans-serif; \">\n  <div style=\" margin-bottom: 24px; padding-bottom: 20px; border-bottom: 1px solid rgba(255, 255, 255, 0.25); \">\n    <h2 style=\" margin: 0 0 12px; color: #ffffff; font-size: 27px; line-height: 1.3; \">\n      Further reading\n    <\/h2>\n\n    <p style=\" margin: 0; max-width: 850px; color: #e8ebf5; font-size: 17px; line-height: 1.7; \">\n      To further explore\n      <strong style=\"color: #ffffff;\">frontier models, agentic AI and the mechanisms that govern their sensitive uses<\/strong>,\n      check out these articles from the aivancity blog.\n    <\/p>\n  <\/div>\n\n  <div style=\" display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 16px; \">\n\n    <a href=\"https:\/\/aivancity.ai\/blog\/en\/after-the-global-shock-claude-fable-5-and-mythos-5-are-making-their-big-comeback\/\" target=\"_blank\" rel=\"noopener noreferrer\" style=\" display: flex; flex-direction: column; justify-content: space-between; min-height: 185px; padding: 21px; box-sizing: border-box; background-color: #ffffff; border-top: 5px solid #3358ff; border-radius: 11px; color: #26345f; text-decoration: none; box-shadow: 0 4px 12px rgba(20, 29, 60, 0.16); \">\n      <div>\n        <span style=\" display: inline-block; margin-bottom: 13px; padding: 5px 10px; background-color: #e9edff; color: #3358ff; border-radius: 20px; font-size: 12px; font-weight: 700; letter-spacing: 0.5px; text-transform: uppercase; \">\n          Regulation and legal framework\n        <\/span>\n\n        <strong style=\" display: block; font-size: 17px; line-height: 1.5; \">\n          After the global shock, Claude Fable 5 and Mythos 5 make their big comeback\n        <\/strong>\n      <\/div>\n\n      <span style=\" display: block; margin-top: 18px; color: #3358ff; font-size: 14px; font-weight: 700; \">\n        Read the analysis \u2192\n      <\/span>\n    <\/a>\n\n    <a href=\"https:\/\/aivancity.ai\/blog\/en\/microsoft-launches-agent-365-the-platform-that-monitors-ai-agents-for-you\/\" target=\"_blank\" rel=\"noopener noreferrer\" style=\" display: flex; flex-direction: column; justify-content: space-between; min-height: 185px; padding: 21px; box-sizing: border-box; background-color: #ffffff; border-top: 5px solid #009688; border-radius: 11px; color: #26345f; text-decoration: none; box-shadow: 0 4px 12px rgba(20, 29, 60, 0.16); \">\n      <div>\n        <span style=\" display: inline-block; margin-bottom: 13px; padding: 5px 10px; background-color: #e3f5f2; color: #007c71; border-radius: 20px; font-size: 12px; font-weight: 700; letter-spacing: 0.5px; text-transform: uppercase; \">\n          Agentic AI\n        <\/span>\n\n        <strong style=\" display: block; font-size: 17px; line-height: 1.5; \">\n          Microsoft launches Agent 365 and its central hub to orchestrate AI agents\n        <\/strong>\n      <\/div>\n\n      <span style=\" display: block; margin-top: 18px; color: #007c71; font-size: 14px; font-weight: 700; \">\n        Read the analysis \u2192\n      <\/span>\n    <\/a>\n\n    <a href=\"https:\/\/aivancity.ai\/blog\/en\/when-artificial-intelligence-automates-cybersecurity-the-role-of-the-cybersecurity-expert-in-the-age-of-autonomous-systems\/\" target=\"_blank\" rel=\"noopener noreferrer\" style=\" display: flex; flex-direction: column; justify-content: space-between; min-height: 185px; padding: 21px; box-sizing: border-box; background-color: #ffffff; border-top: 5px solid #986e13; border-radius: 11px; color: #26345f; text-decoration: none; box-shadow: 0 4px 12px rgba(20, 29, 60, 0.16); \">\n      <div>\n        <span style=\" display: inline-block; margin-bottom: 13px; padding: 5px 10px; background-color: #f7eed9; color: #986e13; border-radius: 20px; font-size: 12px; font-weight: 700; letter-spacing: 0.5px; text-transform: uppercase; \">\n          AI &#038; careers\n        <\/span>\n\n        <strong style=\" display: block; font-size: 17px; line-height: 1.5; \">\n          AI and cybersecurity: the cybersecurity expert\u2019s job transformed\n        <\/strong>\n      <\/div>\n\n      <span style=\" display: block; margin-top: 18px; color: #986e13; font-size: 14px; font-weight: 700; \">\n        Read the analysis \u2192\n      <\/span>\n    <\/a>\n\n    <a href=\"https:\/\/aivancity.ai\/blog\/en\/vibe-hacking-when-users-manipulate-the-behavior-of-generative-ai\/\" target=\"_blank\" rel=\"noopener noreferrer\" style=\" display: flex; flex-direction: column; justify-content: space-between; min-height: 185px; padding: 21px; box-sizing: border-box; background-color: #ffffff; border-top: 5px solid #e91e63; border-radius: 11px; color: #26345f; text-decoration: none; box-shadow: 0 4px 12px rgba(20, 29, 60, 0.16); \">\n      <div>\n        <span style=\" display: inline-block; margin-bottom: 13px; padding: 5px 10px; background-color: #fde8ef; color: #c2185b; border-radius: 20px; font-size: 12px; font-weight: 700; letter-spacing: 0.5px; text-transform: uppercase; \">\n          Ethics and safety\n        <\/span>\n\n        <strong style=\" display: block; font-size: 17px; line-height: 1.5; \">\n          Vibe hacking and the manipulation of generative AI behavior\n        <\/strong>\n      <\/div>\n\n      <span style=\" display: block; margin-top: 18px; color: #c2185b; font-size: 14px; font-weight: 700; \">\n        Read the analysis \u2192\n      <\/span>\n    <\/a>\n\n  <\/div>\n<\/section>\n\n\n\n<section style=\" width: 100%; margin: 32px auto; padding: 28px 30px; box-sizing: border-box; background-color: #f4f6fb; border: 1px solid #d9dce8; border-radius: 14px; box-shadow: 0 5px 18px rgba(59, 75, 132, 0.10); font-family: Arial, sans-serif; \">\n  <div style=\" margin-bottom: 22px; padding-bottom: 14px; border-bottom: 3px solid #3b4b84; \">\n    <h2 style=\" margin: 0; color: #3b4b84; font-size: 25px; line-height: 1.3; \">\n      Sources\n    <\/h2>\n  <\/div>\n\n  <div style=\" display: flex; flex-direction: column; gap: 13px; \">\n\n    <p id=\"ref1\" style=\" margin: 0; padding: 16px 18px; background-color: #ffffff; color: #26345f; border-left: 4px solid #3358ff; border-radius: 8px; font-size: 15px; line-height: 1.65; \">\n      <strong style=\"color: #3358ff;\">[1]<\/strong>\n      Anthropic, September 1, 2026.\n      <em>Introducing Claude Fable 5.1 and Claude Mythos 5.1<\/em>.\n      <a href=\"https:\/\/www.anthropic.com\/claude-fable-and-mythos-5-1\" target=\"_blank\" rel=\"noopener noreferrer\" style=\" color: #3358ff; font-weight: 700; text-decoration: underline; overflow-wrap: anywhere; \">\n        View the source\n      <\/a>\n    <\/p>\n\n    <p id=\"ref2\" style=\" margin: 0; padding: 16px 18px; background-color: #ffffff; color: #26345f; border-left: 4px solid #009688; border-radius: 8px; font-size: 15px; line-height: 1.65; \">\n      <strong style=\"color: #007c71;\">[2]<\/strong>\n      Anthropic Claude Platform Documentation, accessed September 29, 2026.\n      <em>Claude Fable 5.1 Overview and What Is New<\/em>.\n      <a href=\"https:\/\/platform.claude.com\/docs\/en\/models\/fable-5-1\/overview\" target=\"_blank\" rel=\"noopener noreferrer\" style=\" color: #007c71; font-weight: 700; text-decoration: underline; overflow-wrap: anywhere; \">\n        View the documentation\n      <\/a>\n    <\/p>\n\n    <p id=\"ref3\" style=\" margin: 0; padding: 16px 18px; background-color: #ffffff; color: #26345f; border-left: 4px solid #986e13; border-radius: 8px; font-size: 15px; line-height: 1.65; \">\n      <strong style=\"color: #986e13;\">[3]<\/strong>\n      Anthropic, September 2026.\n      <em>Claude Fable 5.1 and Claude Mythos 5.1 System Card<\/em>.\n      <a href=\"https:\/\/www-cdn.anthropic.com\/0339e6a7c5c7b87f5c07798616dc32c215d14235\/Claude%20Fable%205.1%20%26%20Claude%20Mythos%205.1%20System%20Card.pdf\" target=\"_blank\" rel=\"noopener noreferrer\" style=\" color: #986e13; font-weight: 700; text-decoration: underline; overflow-wrap: anywhere; \">\n        View the System Card\n      <\/a>\n    <\/p>\n\n    <p id=\"ref4\" style=\" margin: 0; padding: 16px 18px; background-color: #ffffff; color: #26345f; border-left: 4px solid #e91e63; border-radius: 8px; font-size: 15px; line-height: 1.65; \">\n      <strong style=\"color: #c2185b;\">[4]<\/strong>\n      Anthropic, accessed September 29, 2026.\n      <em>Transparency Hub Model Report for Fable 5.1 and Mythos 5.1<\/em>.\n      <a href=\"https:\/\/www.anthropic.com\/transparency\/model-report\" target=\"_blank\" rel=\"noopener noreferrer\" style=\" color: #c2185b; font-weight: 700; text-decoration: underline; overflow-wrap: anywhere; \">\n        View the report\n      <\/a>\n    <\/p>\n\n    <p id=\"ref5\" style=\" margin: 0; padding: 16px 18px; background-color: #ffffff; color: #26345f; border-left: 4px solid #3b4b84; border-radius: 8px; font-size: 15px; line-height: 1.65; \">\n      <strong style=\"color: #3b4b84;\">[5]<\/strong>\n      Anthropic, September 1, 2026.\n      <em>Developing Enterprise Frontier Safeguards with Our Customers<\/em>.\n      <a href=\"https:\/\/www.anthropic.com\/news\/enterprise-frontier-safeguards\" target=\"_blank\" rel=\"noopener noreferrer\" style=\" color: #3b4b84; font-weight: 700; text-decoration: underline; overflow-wrap: anywhere; \">\n        View the source\n      <\/a>\n    <\/p>\n\n    <p id=\"ref6\" style=\" margin: 0; padding: 16px 18px; background-color: #ffffff; color: #26345f; border-left: 4px solid #3358ff; border-radius: 8px; font-size: 15px; line-height: 1.65; \">\n      <strong style=\"color: #3358ff;\">[6]<\/strong>\n      Zapier, accessed September 29, 2026.\n      <em>AutomationBench AI Agent Benchmarks<\/em>.\n      <a href=\"https:\/\/zapier.com\/benchmarks\" target=\"_blank\" rel=\"noopener noreferrer\" style=\" color: #3358ff; font-weight: 700; text-decoration: underline; overflow-wrap: anywhere; \">\n        View the benchmark\n      <\/a>\n    <\/p>\n\n    <p id=\"ref7\" style=\" margin: 0; padding: 16px 18px; background-color: #ffffff; color: #26345f; border-left: 4px solid #009688; border-radius: 8px; font-size: 15px; line-height: 1.65; \">\n      <strong style=\"color: #007c71;\">[7]<\/strong>\n      Cursor, accessed September 29, 2026.\n      <em>CursorBench<\/em>.\n      <a href=\"https:\/\/cursor.com\/cursorbench\" target=\"_blank\" rel=\"noopener noreferrer\" style=\" color: #007c71; font-weight: 700; text-decoration: underline; overflow-wrap: anywhere; \">\n        View the benchmark\n      <\/a>\n    <\/p>\n\n    <p id=\"ref8\" style=\" margin: 0; padding: 16px 18px; background-color: #ffffff; color: #26345f; border-left: 4px solid #986e13; border-radius: 8px; font-size: 15px; line-height: 1.65; \">\n      <strong style=\"color: #986e13;\">[8]<\/strong>\n      European Commission, updated 2026.\n      <em>General-Purpose AI Obligations under the AI Act<\/em>.\n      <a href=\"https:\/\/digital-strategy.ec.europa.eu\/en\/factpages\/general-purpose-ai-obligations-under-ai-act\" target=\"_blank\" rel=\"noopener noreferrer\" style=\" color: #986e13; font-weight: 700; text-decoration: underline; overflow-wrap: anywhere; \">\n        View the official fact sheet\n      <\/a>\n    <\/p>\n\n    <p id=\"ref9\" style=\" margin: 0; padding: 16px 18px; background-color: #ffffff; color: #26345f; border-left: 4px solid #e91e63; border-radius: 8px; font-size: 15px; line-height: 1.65; \">\n      <strong style=\"color: #c2185b;\">[9]<\/strong>\n      European Commission, accessed September 29, 2026.\n      <em>Restrictions on the Use of Automated Decision-Making<\/em>.\n      <a href=\"https:\/\/commission.europa.eu\/law\/law-topic\/data-protection\/information-business-and-organisations\/dealing-individuals-requests\/are-there-restrictions-use-automated-decision-making_en\" target=\"_blank\" rel=\"noopener noreferrer\" style=\" color: #c2185b; font-weight: 700; text-decoration: underline; overflow-wrap: anywhere; \">\n        View the official source\n      <\/a>\n    <\/p>\n\n    <p id=\"ref10\" style=\" margin: 0; padding: 16px 18px; background-color: #ffffff; color: #26345f; border-left: 4px solid #3b4b84; border-radius: 8px; font-size: 15px; line-height: 1.65; \">\n      <strong style=\"color: #3b4b84;\">[10]<\/strong>\n      CNIL, updated 2026.\n      <em>D\u00e9veloppement des syst\u00e8mes d\u2019IA et recommandations pour respecter le RGPD<\/em>.\n      <a href=\"https:\/\/www.cnil.fr\/fr\/developpement-des-systemes-dia-les-recommandations-de-la-cnil-pour-respecter-le-rgpd\" target=\"_blank\" rel=\"noopener noreferrer\" style=\" color: #3b4b84; font-weight: 700; text-decoration: underline; overflow-wrap: anywhere; \">\n        View the recommendations\n      <\/a>\n    <\/p>\n\n  <\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Presented by Anthropic on September 1, 2026, Claude Fable 5.1 and Claude Mythos 5.1 are built on the same model, but they do not unlock the same sensitive uses. Fable is widely available with strengthened&#8230;<\/p>\n","protected":false},"author":9,"featured_media":661302,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[90],"tags":[79],"class_list":["post-659976","post","type-post","status-publish","format-standard","has-post-thumbnail","category-agentic-ai","tag-lets-talk-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Claude Fable 5.1 and Mythos 5.1 Put to the Safeguards Test<\/title>\n<meta name=\"description\" content=\"Claude Fable 5.1 and Mythos 5.1 share the same model. 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