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ARCBLOCK LEARNING
Understand one question.
Identity, AI, blockchain and personal data often meet in the same question. Start with a short explanation, then follow the knowledge map to see how the ideas connect.
Explore the full knowledge mapQuestions worth following
One question can lead into a whole new subject.
IDENTITY × BLOCKCHAIN
Does a DID need a blockchain?
Separate identifiers, verification and consensus to see why DID methods can use different underlying systems.
Explore this questionAI × APPLICATIONS
When does AI become an agent?
Follow the move from answering a question to completing a task through tools, state and actions.
Explore this questionPERSONAL DATA × STORAGE
Is a data space the same as IPFS?
Compare the different jobs of Arc Space, Solid and distributed storage, from access rules to persistence.
Explore this questionChoose a thread to follow
Open a topic heading for a learning path, or choose an individual question below. The six topics match the map.
Identity and credentials
From naming an identity to deciding whether to trust a claim.
Context and interfaces
Connect what a person sees to addresses an agent can operate.
Applications and runtime
See how applications use identity, data and reusable capabilities.
Blockchain
Follow transactions, consensus and execution to understand the tradeoffs.
AI and agents
Move from models to action through identity, data and execution.
Personal data
Understand the relationship between apps, data spaces and storage.
Books and papers: continue from the original works →
Take an idea into practice
Give data an address you can operateRun a small AFS provider to practice reading, listing and inspecting resources.
Read the generative UI architecture slidesA story about changing interfaces, enduring abstractions, and AFS-UI.
Consult the documentationFind procedures and interface contracts when you are ready to build.