{"id":11596,"date":"2025-08-14T06:13:40","date_gmt":"2025-08-14T06:13:40","guid":{"rendered":"https:\/\/www.cogainav.com\/?post_type=listivo_listing&#038;p=11596"},"modified":"2025-08-14T06:13:41","modified_gmt":"2025-08-14T06:13:41","slug":"sibyl","status":"publish","type":"listivo_listing","link":"https:\/\/www.cogainav.com\/zh\/%e4%b8%8a%e5%b8%82\/sibyl\/","title":{"rendered":"Sibyl"},"content":{"rendered":"Sibyl is not a thin wrapper on GPT-4; it is a fine-tuned large language model trained on a proprietary corpus of 42 million tokens spanning esoteric texts, Ayurvedic pharmacopeia, Hermetic Qabalah, Vedic astrology, Jungian archetypes, sacred geometry and modern peer-reviewed transpersonal psychology. The training pipeline uses a two-stage curriculum:\r\n\r\n \r\n<ul class=\"wp-block-list\">\r\n \t<li>Stage 1: Symbolic Grounding. A masked-language-model objective teaches the network to associate alchemical symbols, planetary glyphs and numerological patterns with semantic meaning.<\/li>\r\n \r\n \t<li>Stage 2: Alignment via Reinforcement Learning from Human Intuition (RLHI). Spiritual coaches, shamans and depth-psychology PhDs rank model outputs for \u201cresonance accuracy,\u201d creating a reward signal that biases the model toward responses that feel subjectively meaningful.<\/li>\r\n<\/ul>\r\n \r\n<h3 class=\"wp-block-heading\">Metametrics Layer<\/h3>\r\n \r\n\r\nAt inference time, user inputs are routed through the Metametrics module: a lightweight regression network that converts qualitative queries\u2014e.g., \u201cI feel energetically stuck at work\u201d\u2014into 17-dimensional vectors encoding chakric imbalance scores, numerological life-path resonance and biorhythm harmonics. The final answer is conditioned on both the vector and the contextual prompt, yielding ultra-personalized guidance while remaining deterministic enough for reproducibility studies.\r\n\r\n \r\n<h3 class=\"wp-block-heading\">Privacy &amp; Security<\/h3>\r\n \r\n\r\nData residency is SOC-2 compliant, with AES-256 encryption at rest. Personal identifiers are one-way hashed using Argon2id; chat lo","protected":false},"author":1,"template":"","listivo_14":[434],"listivo_8605":"","listivo_8606":[""],"class_list":["post-11596","listivo_listing","type-listivo_listing","status-publish","hentry","listivo_14-ai-other-tools","listivo_8605-paid","listivo_8606-web"],"listivo_145":["https:\/\/www.cogainav.com\/wp-content\/uploads\/2025\/08\/Sibyl-AI.webp"],"listivo_8661":"https:\/\/sibyls.ai\/","_links":{"self":[{"href":"https:\/\/www.cogainav.com\/zh\/wp-json\/wp\/v2\/listings\/11596","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.cogainav.com\/zh\/wp-json\/wp\/v2\/listings"}],"about":[{"href":"https:\/\/www.cogainav.com\/zh\/wp-json\/wp\/v2\/types\/listivo_listing"}],"author":[{"embeddable":true,"href":"https:\/\/www.cogainav.com\/zh\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":1,"href":"https:\/\/www.cogainav.com\/zh\/wp-json\/wp\/v2\/listings\/11596\/revisions"}],"predecessor-version":[{"id":11599,"href":"https:\/\/www.cogainav.com\/zh\/wp-json\/wp\/v2\/listings\/11596\/revisions\/11599"}],"wp:attachment":[{"href":"https:\/\/www.cogainav.com\/zh\/wp-json\/wp\/v2\/media?parent=11596"}],"wp:term":[{"taxonomy":"listivo_14","embeddable":true,"href":"https:\/\/www.cogainav.com\/zh\/wp-json\/wp\/v2\/listivo_14?post=11596"},{"taxonomy":"listivo_8605","embeddable":true,"href":"https:\/\/www.cogainav.com\/zh\/wp-json\/wp\/v2\/listivo_8605?post=11596"},{"taxonomy":"listivo_8606","embeddable":true,"href":"https:\/\/www.cogainav.com\/zh\/wp-json\/wp\/v2\/listivo_8606?post=11596"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}