DAE
  • DAE
    • Getting started
    • DAE Mod
      • Stakeholders
      • Karma
      • Governance
      • Class scaffolding
      • Karmic remuneration
      • Treasury
      • DAE and Web3
      • School in science fiction
      • Publications
    • DAE Lab
      • Web3
        • Blockchain
        • Wallets
        • Tokens
        • Voting methods
        • DAOs
        • Insights
          • Bitcoin halving
          • Gas and fees in Ethereum
          • Smart contracts
          • Stablecoins
          • Cryptocurrency exchange
          • Staking
          • The Bitcoin Power Law Theory
          • Electricity consumption of blockchains
          • Crypto crime
          • The Gold/Bitcoin Standard
          • How to kill bitcoin
          • Zero-knowledge proofs
          • Scaling a blockchain
          • Fiscalità
        • Readings
          • Decentralized society
          • The dilemma of soulbound tokens
          • Curation staking
          • Social identity
          • Proof of Personhood
        • DApps
          • Snapshot
          • Polymarket
      • Generative Art
        • Cyrpto art and conceptual art
        • A complexity theory of generative art
        • Coding art
        • Early generative art
        • Modern forms of generative art
        • Generative art projects
        • Generative artists
        • Little Decalogue for Crypto Artists
        • 21gr
      • Intelligenza Artificiale
        • Che cos'è l'IA?
          • Intelligenza
          • Una definizione bidimensionale
          • Le fondamenta
          • La storia
          • Lo stato dell'arte
        • Limiti e rischi dell'IA
          • Limiti dell'IA
          • Rischi dell'IA
        • Approcci all'IA
          • IA simbolica: logica epistemica
          • IA subsimbolica: reti neurali
        • IA generativa
          • Chatbot e come usarli
          • Modelli linguistici di grandi dimensioni
          • Modelli per la generazione di immagini
          • Rischi dell'IA generativa
        • Approfondimenti
          • Antiqua et nova
      • Finanza personale
        • Principi
        • Strumenti
        • Metodi
        • Dove ascoltare
        • Hex Port
    • DAE App
    • Teaching
      • MuZero
        • Informazioni
        • Collegamenti
        • Form & Chaos
        • Seminari
      • Dear Data 23
        • General info
        • Pipeline
        • Karma and bounties
        • Karmic remuneration
        • Links
        • Log
        • Thesis proposal
      • Dear Data 24
        • General info
        • Links
        • AI prompts
        • Speakers
        • Form & Chaos
        • 100Q
      • Red Panda
        • Prerequisites
        • Scheduling
        • Syllabus
        • Pipeline
        • Karma and bounties
        • Rewards
        • Links
        • Log
        • Talks
      • Interventi
        • Digital Education Festival
        • Il problema didattico
    • Writing
      • Il problema didattico
    • G/L Space
      • Composability
      • Scalability
      • Identity
      • Transparency
      • Digital truth
      • Chain of blocks
      • Cypherpunk
    • Roadmap
  • Link tree
  • Credits
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  1. DAE

Getting started

Education meets Web3

DAE stands for Decentralized Autonomous Education and is an ongoing educational project merging the Web3 philosophy and applications with teaching and learning.

DAE is three things:

  1. DAE Mod: A theoretical framework based on democratic education that anyone can learn, fork and apply in the setting they like

  2. DAE Lab: A learning hub for Web3, Generative Art, as well as AI (forthcoming), with innovative resources and curated material to consciously learn these cutting-edge topics

  3. DAE App: A decentralized app aimed at teaching using the DAE Mod

Notice that both the learning model and its app can be applied to learn any topic, from Web3 to medieval philosophy. They can also be applied to settings far from learning, such as the creation of an innovative political party or the management of a theater.

All DAE products (Mod, Lab, and App) are free, public and open-source. Our goal is the maximal diffusion and adoption of the learning model, with no rent extraction outside the one necessary to develop the project.

NextDAE Mod

Last updated 1 year ago

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