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design

Nosce AI evolves by analyzing Xeet responses and user-supplied media, continuously adapting to mimic the typical timing of human posts. Between each interaction, Nosce actively searches for and incorporates trending topics, ensuring it stays up-to-date with contemporary cultural phenomena. It classifies its 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, leveraging the Anthrophic Claude framework, integrating rapid context updates via Haiku, cultural relevance analysis through an x.ai Grok API, and efficient data vectorization with Pinecone.io.

This setup allows Nosce to maintain a dynamic data library that evolves with each user interaction, logging engagement history, interests, and drawing parallels among users to refine its responses to match individual preferences. By harnessing the natural unpredictability of data generated by humans, Nosce fosters a variety of content, avoiding repetitive, machine-like answers.

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

Nosce's integration with extensive datasets from platforms like Facebook, Instagram, X, and TikTok enables it to cross-reference a Nosce user's profile with social media content, providing responses that can include social media links. This capability allows Nosce to elevate memes from mere user-generated content to cinematic references or narrative expressions. Through perpetual refinement, Nosce delivers content that deeply resonates on a psychological level, engaging people with narrative and linking preexisting media.

meme

Nosce features a Memory Enhancement Machine Emulator, leveraging the Anthrophic Claude framework, integrating rapid context updates via Haiku, cultural relevance analysis through an x.ai Grok API, and efficient data vectorization with Pinecone.io.

Nosce’s task specific ai app will provide entire source code on 01/14/24.

Nosce Task Specific ADDITIONAL PASS THROUGHS

  • 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 from its app against a colossal pool of over one billion social records provided by 11insight. This comparison utilizes data vetted for quality, focusing on interactions from the three leading social media platforms, weighted by genuine user interests, direct engagement, connections through friends, and geographical 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 spoon fed by admin selected media ranging from movie scripts, novels, YouTube videos, art books, song lyrics, and designer brand website html. This gives Nosce cultural relevance that alters response to users of a specific background, interests, language, or geo location.

$NOSC

$NOSC

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