Merkle CRDT #160
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Merkle CRDT #160
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Deploying docs-source-network with
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| Latest commit: |
8849d17
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| Status: | ✅ Deploy successful! |
| Preview URL: | https://65fc1bc6.docs-source-network.pages.dev |
| Branch Preview URL: | https://ashutosh-guides-merkle-crdt.docs-source-network.pages.dev |
jsimnz
requested changes
Apr 8, 2025
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Some semantic changes.
Overall, as a note on using LLMs to help you refactor these docs. I am not against it entirely, but there are notable artifacts/issues when using LLMs for these kinds of refactors
- Theyre obsessed with this bullet style formatting, which is super obvious
- In this context, they write like its a document related to our tech, not specifically made for our tech (eg "Tools like DefraDB address these issues through...")
- One big problem is that is doesn't know about the overall style of the rest of the dev docs, so each document feels like its own independent thing instead of a cohesive and curated set of docs
We can discuss a broader approach to how to best utilize LLMs for this use case.
| - **Federated machine learning** where models sync asynchronously | ||
| - **Edge computing networks** needing fault-tolerant sync | ||
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| They are especially powerful in **IPFS-based systems**, where Merkle DAGs are native. |
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todo: Should be IPLD-based instead of IPFS-based
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| ## Branching and Merging State | ||
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| ### Branching in Merkle CRDTs | ||
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| Branching occurs when multiple updates happen concurrently from the same base node. Each update becomes a new branch in the DAG. |
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todo: Branching occurs when updates happen concurrently from different nodes. Each node maintains its own independent branch in the DAG.
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Update Merkle CRDT for EdgeCompute.