Dontopedia

disk

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

disk has 10 facts recorded in Dontopedia across 5 references, with 2 live disagreements.

10 facts·3 predicates·5 sources·2 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (5)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

usesUses(3)

quantifiesSpaceQuantifies Space(1)

supportsEncryptionSupports Encryption(1)

Other facts (6)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

6 facts
PredicateValueRef
Rdf:typeStorage Medium[1]
Rdf:typeStorage Medium[2]
Rdf:typeStorage Mechanism[4]
Rdf:typeStorage Type[5]
Contains47 Gb Weights[3]
Example ofExternal Storage[5]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typebeam/cc896b8e-9e4b-462e-ae73-e92a1ac1431a
ex:StorageMedium
labelbeam/cc896b8e-9e4b-462e-ae73-e92a1ac1431a
Disk Storage
typebeam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53
ex:StorageMedium
labelblah/watt-activation/178
disk
containsblah/watt-activation/178
ex:47GB-weights
typebeam/a02cf99c-1e1e-40c4-8dae-5d9c0cadac18
ex:StorageMechanism
labelbeam/a02cf99c-1e1e-40c4-8dae-5d9c0cadac18
Disk Storage
typebeam/baa3a618-6066-463d-ab1d-4980f9f9a163
ex:Storage-Type
labelbeam/baa3a618-6066-463d-ab1d-4980f9f9a163
Disk Storage
exampleOfbeam/baa3a618-6066-463d-ab1d-4980f9f9a163
ex:external-storage

References (5)

5 references
  1. ctx:claims/beam/cc896b8e-9e4b-462e-ae73-e92a1ac1431a
    • full textbeam-chunk
      text/plain1 KBdoc:beam/cc896b8e-9e4b-462e-ae73-e92a1ac1431a
      Show excerpt
      4. **Mature Ecosystem**: Well-established with a large community, extensive documentation, and numerous tools for backup, replication, and monitoring. #### Cons: 1. **Higher Latency**: Disk access is slower than RAM access, leading to high
  2. ctx:claims/beam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53
    • full textbeam-chunk
      text/plain1 KBdoc:beam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53
      Show excerpt
      matrix = pd.DataFrame(index=databases, columns=metrics) # Fill in the matrix with sample data matrix.loc['Milvus 2.3.0', 'search_time'] = 180 matrix.loc['Faiss 1.7.3', 'search_time'] = 200 matrix.loc['Annoy 1.18.0', 'search_time'] = 250 ma
  3. [3]1782 facts
    ctx:discord/blah/watt-activation/178
    • full textwatt-activation-178
      text/plain3 KBdoc:agent/watt-activation-178/50ec323b-637a-4c18-bba8-73839dc1355d
      Show excerpt
      [2026-03-10 00:29] xenonfun: ⏺ That settles it — the base instruct model has no factual knowledge at all. It generates fluent-sounding nonsense rather than facts. This is a pretraining depth problem: FineWeb-Edu teaches language patterns,
  4. ctx:claims/beam/a02cf99c-1e1e-40c4-8dae-5d9c0cadac18
    • full textbeam-chunk
      text/plain1 KBdoc:beam/a02cf99c-1e1e-40c4-8dae-5d9c0cadac18
      Show excerpt
      5. **Save the Index**: - We save the index to disk. We wrap this in a try-except block to handle any errors. 6. **Load the Index**: - We load the index from disk. We wrap this in a try-except block to handle any errors. 7. **Generat
  5. ctx:claims/beam/baa3a618-6066-463d-ab1d-4980f9f9a163

See also

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