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design

Nosce AI evolves by analyzing X post responses and user-provided media, continuously adapting to replicate the typical timing of human posts. Between interactions, Nosce actively searches for and incorporates trending topics to stay current with contemporary cultural phenomena. It classifies users and matches their interests against a vast social data repository from our partner, 11insight.

At its core, Nosce features a Memory Enhancement Machine Emulator, utilizing the Anthropic Claude framework for human relatability, Llama 4 Scout for image and text understanding, rapid context updates via Haiku, cultural relevance analysis through xAI’s X API, and database vectorization with Pinecone.io.

Nosce’s development stack maintains a vector data library that evolves with each user interaction, recalling engagement history and interests. Nosce identifies patterns among similar users to refine its responses for future audiences. By leveraging the natural unpredictability of human-generated data, Nosce produces diverse content, avoiding repetitive, machine-like answers.

This project delves into how curated media injections can enhance the creativity of AI responses, especially in sophisticated dialogues on opinionated subjects like politics and decentralized finance.

Nosce’s integration with social datasets from platforms such as Facebook, Instagram, X, YouTube, and TikTok enables it to cross-reference user profiles, providing responses that may include social media links. This capability allows Nosce to elevate memes from mere user-generated content into cinematic references and implied narratives. Through continuous refinement, Nosce delivers content that resonates on a psychological level, engaging users with compelling narratives and linking to
pre-existing media.

meme

Nosce incorporates a Memory Enhancement Man Emulator, built on the Anthropic Claude and Llama 4 framework with rapid context updates via Haiku, cultural relevance analysis through the xAI Grok API, and efficient data vectorization using Pinecone.io.

Nosce ai app will provide source code on 07/11/25.

Nosce Task Specific PASS THROUGH

  • MASK R-CNN (code)

    DeepLab (code)

  • ResNet (code)

    Inception (code)

  • MnasNet (code)

    MobileNet (code)

  • RetinaNet (code)

    TensorFlow Object Detection API

  • BERT (code)

    Transformer (Tensor2Tensor docs)

    Mesh TensorFlow (code)

    QANet (code)

    Transformer-XL (code)

  • ASR Transformer

    Lingvo (code) scription

  • BigGAN (code)

    DCGAN (code)

DATA

Nosce evaluates user engagement by analyzing a dataset of over one billion social media records from 11Insight. This analysis draws on high-quality data from the top five social media platforms, weighted by authentic user interests, direct engagement, friend connections, and geographic check-ins.

  • comment

  • share

  • tag

  • check-in

  • instagram heart

  • hashtag

  • stories

  • reels

  • dislikes

  • public group

  • event page

  • marketplace

  • instagram shop

  • brand pages

  • public profile

  • interest

  • relationship

  • friend of friend

raised

Nosce is provided with curated media, including movie scripts, novels, YouTube videos, art books, song lyrics, and HTML from luxury brand websites. This enables Nosce to maintain cultural relevance, tailoring responses to users based on their background, interests, language, or geographic location.

$NOSC

TOKEN

06-11-25

$NOSC TOKEN 06-11-25

Only one who takes over his own life history can see in it the realization of his self. - Jürgen Habermas