X
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-18.)
X has 113 facts recorded in Dontopedia across 39 references, with 10 live disagreements.
Mostly:ex:p(23), rdf:type(16), domain function(3)
Maturity scale
raw canonical shape-checked rule-derived certifiedEx:pin disputeex:p
Rdf:typein disputerdf:type
- Platform[16]all time · 4
- Platform[17]all time · 3
- Platform[20]sourceall time · 2
- Platform[21]all time · 49
- Platform[22]all time · 54
- Numpy Array Parameter[23]all time · Af451cc6 36be 49c7 9fbe 3e2034fe77ed
- Vector[25]all time · De94702d E79b 4737 Adbb 313bcaaf5f26
- Input Tensor[26]all time · D10276fa 4990 4c57 85ae 92eb38fa1260
- Parameter[28]all time · 04bd25c0 Df3e 4304 Bfa4 8ddd9781d277
- Input Tensor[29]all time · 2e9d7e4e 0ca0 4785 8c29 B5f38659acff
Inbound mentions (192)
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.
ex:pEx:p(35)
returnsReturns(25)
- Ex:forward
ex:ex:forward - Forward
ex:forward - Forward
ex:forward - Forward
ex:forward - Forward
ex:forward - Forward
ex:forward - Forward
ex:forward - Forward
ex:forward - Forward
ex:forward - Forward
ex:forward - Forward
ex:forward - Forward
ex:forward - Forward
ex:forward - Forward
ex:forward - Forward Function
ex:forward-function - Forward Method
ex:forward-method - Forward Method
ex:forward-method - Forward Method
ex:forward-method - Forward Pass
ex:forward-pass - Forward Pass
ex:forward-pass - Optimization Model.forward
ex:OptimizationModel.forward - Return Statement
ex:return-statement - Return Statement
ex:return-statement - Forward
forward - Forward Function
forward-function
hasParameterHas Parameter(24)
- Extract Context Window
ex:extract_context_window - Forward
ex:forward - Forward
ex:forward - Forward
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ex:forward - Forward
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ex:forward - Forward
ex:forward - Forward
ex:forward - Forward
ex:forward - Forward
ex:forward - Forward Function
ex:forward-function - Forward Method
ex:forward-method - Forward Method
ex:forward-method - Forward Method
ex:forward-method - Lambda Function
ex:lambda-function - Lambda Function
ex:lambda-function - Lambda Function
ex:lambda-function - Lambda Function
ex:lambda_function - Lambda Sort
ex:lambda-sort - Lambda Sort Key
ex:lambda_sort_key - Forward
forward
parameterParameter(10)
- Distance Callback
ex:distance-callback - Forward
ex:forward - Forward
ex:forward - Forward
ex:forward - Forward Method
ex:forward-method - Lambda Function
ex:lambda-function - Lambda Function
ex:lambda_function - Lambda Function
ex:lambda_function - Lambda Function
ex:lambda_function - Sort Key Lambda
ex:sort-key-lambda
takesParameterTakes Parameter(5)
- Forward
ex:forward - Forward Method
ex:forward_method - Forward Pass
ex:forward-pass - Lambda Function
ex:lambda-function - Optimization Model.forward
ex:OptimizationModel.forward
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- Forward
ex:forward - Forward Function
ex:forward_function - Forward Method
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ex:forward-pass
assignsToAssigns to(3)
- Fc3 Application
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parameterNameParameter Name(3)
- Lambda Function
ex:lambda_function - Lambda X Strip
ex:lambda-x-strip - Lambda X Upper
ex:lambda-x-upper
appliedToApplied to(2)
- Tensor Reshaping
ex:tensor_reshaping - X View
ex:x-view
assignsAssigns(2)
- Forward Variable Assignment
ex:forward-variable-assignment - X Reassignment
ex:x-reassignment
hasInputHas Input(2)
- Forward
ex:forward - Language Embedding Model
ex:language-embedding-model
hostedByHosted by(2)
- Twitter Status 2020950677766259049
ex:twitter-status-2020950677766259049 - Twitter Status 2022334061789020275
ex:twitter-status-2022334061789020275
hostedOnHosted on(2)
- Twitter Status 2020950677766259049
ex:twitter-status-2020950677766259049 - Twitter Status 2022334061789020275
ex:twitter-status-2022334061789020275
inputInput(2)
- Forward Call
ex:forward-call - Forward Computation
ex:forward-computation
mentionsMentions(2)
- Lisamegawatts
ex:lisamegawatts - Message 2025 05 09 06 52
ex:message-2025-05-09-06-52
returnsOutputReturns Output(2)
- Forward
ex:forward - Forward Method
ex:forward-method
acceptsInputAccepts Input(1)
- Forward
ex:forward
alternativesAlternatives(1)
- Voice Channel Preference
ex:voice-channel-preference
appliesAffineTransformationApplies Affine Transformation(1)
- Forward
ex:forward
appliesOnApplies on(1)
- Fc3 Application
ex:fc3-application
argumentArgument(1)
- Distance Call
ex:distance-call
assignsOutputAssigns Output(1)
- Forward
ex:forward
blamesPlatformBlames Platform(1)
- Traves Theberge
ex:traves_theberge
calledWithCalled With(1)
- Tf.shape
ex:tf.shape
consistsOfConsists of(1)
- Input Label Pairs
ex:input-label-pairs
containsContains(1)
- Tuple
ex:tuple
containsContentContains Content(1)
- Source Txt
ex:source-txt
contrastedWithContrasted With(1)
- Generous
ex:generous
ex:hasParameterEx:has Parameter(1)
- Forward Method
ex:forward-method
experiencedCrashOfExperienced Crash of(1)
- Foxhop
ex:foxhop
expressedFrustrationWithExpressed Frustration With(1)
- Ajaxdavis
ex:ajaxdavis
expressesPreferenceAgainstExpresses Preference Against(1)
- Lisamegawatts
ex:lisamegawatts
finalOutputFinal Output(1)
- Forward Pass
ex:forward-pass
hasInputVariableHas Input Variable(1)
- Forward
ex:forward
hasObjectHas Object(1)
- Lab a Drug Triple
ex:lab-a-drug-triple
hasOutputHas Output(1)
- Language Embedding Model
ex:language-embedding-model
hasOutputVariableHas Output Variable(1)
- Forward
ex:forward
identifierIdentifier(1)
- Lambda Parameter
ex:lambda-parameter
inputParameterInput Parameter(1)
- Ex:forward
ex:ex:forward
interpretedByInterpreted by(1)
- 1 Peter Iii 19
ex:1-peter-iii-19
localVariableLocal Variable(1)
- Forward
ex:forward
misinterpretsScriptureMisinterprets Scripture(1)
- Faithful
ex:faithful
nameName(1)
- Lambda Parameter
ex:lambda-parameter
notesAbsenceNotes Absence(1)
- Rebel Elder
ex:rebel_elder
outputVariableOutput Variable(1)
- Ex:forward
ex:ex:forward
postedOnPosted on(1)
- Brendanh0gan
ex:brendanh0gan
postsToPlatformPosts to Platform(1)
- Tweet Tool
ex:tweet-tool
prefersOverPrefers Over(1)
- Lisamegawatts
ex:lisamegawatts
processesInputProcesses Input(1)
- Forward
ex:forward
quotedByQuoted by(1)
- Luke Xvi 23
ex:luke-xvi-23
reassignsVariableReassigns Variable(1)
- Forward
ex:forward
reshapesInputReshapes Input(1)
- Training Loop
ex:training-loop
returnsTensorReturns Tensor(1)
- Forward
ex:forward
returnsVariableReturns Variable(1)
- Return Statement
ex:return-statement
stacksDataSlicesStacks Data Slices(1)
- Get Batch Function Correct
ex:get-batch-function-correct
startsAtStarts at(1)
- Feedforward Flow
ex:feedforward_flow
test:dql2:1c8088e3a8bc4365a039d863bf47ce66/ctx/predicate/hasCaseMarkerHas Case Marker(1)
- A
ex:a
test:dql2:461e514d544a4876bf493ae301ffdb7e/ctx/predicate/hasCaseMarkerHas Case Marker(1)
- A
ex:a
test:dql2:478ed632350a419284398cc7c559381f/ctx/predicate/hasCaseMarkerHas Case Marker(1)
- A
ex:a
test:dql2:4793bbe8cfcd4d11b498339b6b45b4b7/ctx/predicate/markedByMarked by(1)
- A
ex:a
test:dql2:496f7aee6a4a4f47819ce764ed454b03/ctx/predicate/markedByMarked by(1)
- A
ex:a
test:dql2:4b9aab9ea1d549609c0504e9ce35a51d/ctx/predicate/hasCaseMarkerHas Case Marker(1)
- A
ex:a
test:dql2:604e37a4cda64a30be2c6ac9877b2553/ctx/predicate/markedByMarked by(1)
- A
ex:a
test:dql2:9ba24cdb21ef46fe8ead6dcfac7b0a30/ctx/predicate/hasCaseMarkerHas Case Marker(1)
- A
ex:a
test:dql2:a931f01e04804bd08e0de2b470fed4ed/ctx/predicate/markedByMarked by(1)
- A
ex:a
test:dql2:ac97ffcee8e84afab9fc0f7ff0efd3b9/ctx/predicate/markedByMarked by(1)
- A
ex:a
test:dql2:ddb92fc7da1e4b55b40863ad59332c13/ctx/predicate/markedByMarked by(1)
- A
ex:a
test:dql2:ee9853b78dd6401dafce5dce6f02ca8f/ctx/predicate/hasCaseMarkerHas Case Marker(1)
- A
ex:a
test:dql2:ef6f81c890a7453aad1ffd86b0a19c90/ctx/predicate/hasCaseMarkerHas Case Marker(1)
- A
ex:a
test:dql2:f872805224414916a413dbceb4b6c5b3/ctx/predicate/hasCaseMarkerHas Case Marker(1)
- A
ex:a
test:dql2:fe2145d1050049a281095b6237597800/ctx/predicate/markedByMarked by(1)
- A
ex:a
transformsTransforms(1)
- Forward Function
ex:forward-function
transformsInputTransforms Input(1)
- Forward
ex:forward
unpacksUnpacks(1)
- Dataset Iteration
ex:dataset-iteration
unpacksDataUnpacks Data(1)
- Training Loop
ex:training-loop
Other facts (66)
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.
| Predicate | Value | Ref |
|---|---|---|
| Domain Function | social networking | [17] |
| Domain Function | content sharing | [17] |
| Domain Function | real-time communication | [17] |
| Used As | variable | [39] |
| Used As | label | [39] |
| Used As | identifier | [39] |
| Hosts | Twitter Status 2020950677766259049 | [17] |
| Hosts | Twitter Status 2022334061789020275 | [17] |
| Query Purpose | source tracking | [17] |
| Query Purpose | campaign tracking | [17] |
| Has Post | Twitter Status 2020950677766259049 | [17] |
| Has Post | Twitter Status 2022334061789020275 | [17] |
| Posts Shared | Twitter Status 2020950677766259049 | [17] |
| Posts Shared | Twitter Status 2022334061789020275 | [17] |
| Semantic Potential | mathematical-variable | [39] |
| Semantic Potential | unknown-reference | [39] |
| Current Alternative to Generous | Generous | [12] |
| Crashes Occasionally | null | [13] |
| Added to | Noise | [14] |
| Rejects Faithfuls View of Hades | true | [15] |
| Signed Letter | Yours, &c., X | [15] |
| Criticizes Faithful | Faithful | [15] |
| Suggests Source Joe Millar | Faithful | [15] |
| Asserts Paradise Not Heaven | true | [15] |
| Prefers New Bible Translation | true | [15] |
| Hosts User | Brendanh0gan | [16] |
| Formerly Known As | [16] | |
| Domain | x.com | [17] |
| Tld | com | [17] |
| Second Level Domain | x | [17] |
| Domain Type | commercial | [17] |
| Domain Category | social media | [17] |
| Domain Purpose | microblogging | [17] |
| Uses Query Parameters | true | [17] |
| Parameter Name | s | [17] |
| Parameter Value | 46 | [17] |
| Post Count | 2 | [17] |
| Assigned Value | Names | [18] |
| Sub Class of | Voice Channel | [19] |
| Has Attribute | shape | [23] |
| Is Input of | Forward Method | [27] |
| Is Output of | Forward Method | [27] |
| Has View Operation | View( 1,512) | [33] |
| Reshaped to | 512 | [34] |
| Scope | List Comprehension Scope | [36] |
| Appears in Document | Source Txt | [39] |
| Is Symbol | false | [39] |
| Is Upper Case | false | [39] |
| Is Vowel | false | [39] |
| Is Whitespace | false | [39] |
| Lacks Additional Description | true | [39] |
| Located at Line | 1 | [39] |
| Minimal Information Content | true | [39] |
| Isolated From Context | true | [39] |
| Phonetic Classification | consonant | [39] |
| Is Numeric | false | [39] |
| Is Consonant | true | [39] |
| Is Alphabetic | true | [39] |
| Has Grapheme Count | 1 | [39] |
| Roman Alphabet Origin | Latin | [39] |
| Document Position | first | [39] |
| Common in Languages | English | [39] |
| Text Content Length | 1 | [39] |
| Typographic Classification | lowercase-letter | [39] |
| Unicode Category | Ll | [39] |
| Is Punctuation | false | [39] |
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.
References (39)
ctx:_quarantine/test:pol_filter_leak:91a463b330a24e15a697dd5e5b5c94d2/ctxctx:_quarantine/test:pol_filter_leak:f3d22e97d6ad4db2934edf352203077a/ctxctx:_quarantine/test:pol_filter_leak:1d43b6c15ee34baa864e6e2f9a6d3db1/ctxctx:_quarantine/test:pol_filter_leak:6e6e7895ca524ef88c033e3110c399d7/ctxctx:_quarantine/test:pol_filter_leak:dea264800e0b4d96b31a991eb9cc2bfd/ctxctx:_quarantine/test:pol_filter_leak:7d12e83ed1234b4eac3a144c34d8988c/ctxctx:_quarantine/test:pol_filter_leak:3b5a2b6f3fb14b4bbbbc05af764a3621/ctxctx:_quarantine/test:pol_filter_leak:738c182be98b43ce9d256063fdceeaf1/ctxctx:_quarantine/test:pol_filter_leak:4123e90ff73241f6aa1ea7824ebf2597/ctxctx:_quarantine/test:pol_filter_leak:49d704fba642455b92017653ffbddaad/ctxctx:_quarantine/test:pol_filter_leak:5230a7e24f8d483992730e38425a40c4/ctxctx:discord/blah/aoe2/part-1ctx:discord/blah/general/part-49ctx:discord/blah/watt-activation/part-347ctx:genes/trove-cooktown/reynoldsctx:discord/blah/agents/4- full textctx:discord/blah/agents/4text/plain3 KB
doc:discord/blah/agents/4Show excerpt
[2026-02-14 14:06] xenonfun: trying one. This you need to fix the README.md your install instructions don't work as is, it clones repo so must be `claude plugin marketplace add DavinciDreams/Agent-Team-Plugins` (files: Screenshot_2026-02-14…
ctx:discord/blah/agents/3- full textctx:discord/blah/agents/3text/plain3 KB
doc:discord/blah/agents/3Show excerpt
[2026-02-10 03:12] traves_theberge: i cant wait to try them out, for not ill just get the certs from anthropic, free certs for my linked in lol [2026-02-10 05:57] traves_theberge: https://github.com/nyldn/claude-octopus [2026-02-10 06:00] t…
ctx:claims/beam/48c3a949-f7c2-4c72-bbe5-2cfb75c44800ctx:discord/blah/aoe2/1- full textctx:discord/blah/aoe2/1text/plain3 KB
doc:discord/blah/aoe2/1Show excerpt
[2025-05-03 03:58] ajaxdavis: <@164501800613969920> <@126022877790208001> [2025-05-03 04:40] ajaxdavis: 76561198143705305 [2025-05-03 04:53] ajaxdavis: https://meet.google.com/wrk-ckch-fyr [2025-05-09 05:56] traves_theberge: yo [2025-05-09 …
- full textaoe2-1text/plain3 KB
doc:agent/aoe2-1/bbbea723-5fab-4517-b7ba-8ccdc21e217dShow excerpt
[2025-05-03 03:58] ajaxdavis: <@164501800613969920> <@126022877790208001> [2025-05-03 04:40] ajaxdavis: 76561198143705305 [2025-05-03 04:53] ajaxdavis: https://meet.google.com/wrk-ckch-fyr [2025-05-09 05:56] traves_theberge: yo [2025-05-09 …
ctx:discord/blah/atlas-ai/2- full textctx:discord/blah/atlas-ai/2text/plain3 KB
doc:discord/blah/atlas-ai/2Show excerpt
[2025-04-04 05:23] lisamegawatts: I had a polisci professor that worked on this, he used to say theory is fine but no match for data https://correlatesofwar.org/ [2025-04-04 05:23] lisamegawatts: Trying to catalog and predict all factors th…
- full textatlas-ai-2text/plain3 KB
doc:agent/atlas-ai-2/3a79ad11-fcb3-4da8-b38e-c15390bfab94Show excerpt
[2025-04-04 05:23] lisamegawatts: I had a polisci professor that worked on this, he used to say theory is fine but no match for data https://correlatesofwar.org/ [2025-04-04 05:23] lisamegawatts: Trying to catalog and predict all factors th…
ctx:discord/blah/general/49- full textgeneral-49text/plain3 KB
doc:agent/general-49/5c214af5-9c0b-4efd-b831-d1fb4cd29ff1Show excerpt
[2025-06-28 13:45] ajaxdavis: From freezing weather to tropical, my natural habitat [2025-06-28 13:46] foxhop.: So is it morning? [2025-06-28 13:46] ajaxdavis: midnight [2025-06-28 13:46] foxhop.: K [2025-06-28 13:47] foxhop.: I didn't open…
ctx:discord/blah/general/54- full textgeneral-54text/plain3 KB
doc:agent/general-54/4c6e9799-d647-47e7-b457-577314fd1ba0Show excerpt
[2025-07-20 04:20] ajaxdavis: got it doing two projects at once to get my moneys worth [2025-07-21 09:37] optionalsecurity: This might be interesting https://www.linkedin.com/posts/cali-lafollett_github-clafollettclaude-code-hooks-mastery-a…
ctx:claims/beam/af451cc6-36be-49c7-9fbe-3e2034fe77ed- full textbeam-chunktext/plain1 KB
doc:beam/af451cc6-36be-49c7-9fbe-3e2034fe77edShow excerpt
'search': lambda x: np.random.rand(x.shape[0], 128) } print(test_sparse_retrieval_engine(engine)) ``` ->-> 3,29 [Turn 2397] Assistant: To effectively assess the performance of your sparse retrieval engine, you can enhance the test to i…
ctx:discord/blah/watt-activation/368- full textwatt-activation-368text/plain2 KB
doc:agent/watt-activation-368/56da562c-7ef7-4f2f-b9f4-79ef4bfbd297Show excerpt
[2026-03-18 15:51] xenonfun: # CLAUDE — ADDITIONAL CONTEXT (DO NOT CHANGE CURRENT SWEEP) Continue current sweep unchanged. New instruction: We now have a strong hypothesis that entity binding requires a discrete or quasi-discrete identit…
ctx:claims/beam/de94702d-e79b-4737-adbb-313bcaaf5f26ctx:claims/beam/d10276fa-4990-4c57-85ae-92eb38fa1260- full textbeam-chunktext/plain1 KB
doc:beam/d10276fa-4990-4c57-85ae-92eb38fa1260Show excerpt
- Process inputs in batches to leverage parallelism. 5. **Testing**: - Generate test data and use a DataLoader to process inputs in batches. - Concatenate the resized inputs and verify the shape. Would you like to proceed with th…
ctx:claims/beam/1a80c04e-0cf2-40e8-819b-8a4ba1401f6c- full textbeam-chunktext/plain1 KB
doc:beam/1a80c04e-0cf2-40e8-819b-8a4ba1401f6cShow excerpt
Would you like to proceed with this implementation, or do you have any additional questions or concerns? [Turn 8190] User: How can I optimize the performance of my PyTorch model, specifically with version 2.1.2, to achieve 99.8% stability …
ctx:claims/beam/04bd25c0-df3e-4304-bfa4-8ddd9781d277- full textbeam-chunktext/plain1 KB
doc:beam/04bd25c0-df3e-4304-bfa4-8ddd9781d277Show excerpt
Here's an example of how you can implement these strategies using Keras: ```python import tensorflow as tf from tensorflow.keras.layers import Embedding, LSTM, Input, Lambda, Masking from tensorflow.keras.models import Model import numpy a…
ctx:claims/beam/2e9d7e4e-0ca0-4785-8c29-b5f38659acff- full textbeam-chunktext/plain1 KB
doc:beam/2e9d7e4e-0ca0-4785-8c29-b5f38659acffShow excerpt
3. **Increase Model Depth**: Adding more layers can help capture more complex patterns in the data. 4. **Adjust Learning Rate**: Fine-tuning the learning rate can help achieve better convergence. 5. **Use Weight Decay (L2 Regularization)**:…
ctx:claims/beam/7c46c0d3-14b6-4d99-b556-baa45fee2275- full textbeam-chunktext/plain1 KB
doc:beam/7c46c0d3-14b6-4d99-b556-baa45fee2275Show excerpt
tokens = practice(tokens) return tokens # Define the sparse tuning practices sparse_tuning_practices = [ lambda x: x * 2, # practice 1: multiply by 2 lambda x: x + 1, # practice 2: add 1 lambda x: x - 1, # p…
ctx:claims/beam/21b7339a-b5f0-4943-80bc-762b12f40b63- full textbeam-chunktext/plain1 KB
doc:beam/21b7339a-b5f0-4943-80bc-762b12f40b63Show excerpt
return x # Initialize the model and optimizer model = MyModel() optimizer = torch.optim.Adam(model.parameters(), lr=0.001) # Define the update logic def update_model(model, optimizer, data): # Update the model using the data …
ctx:claims/beam/ffb8ee8e-17cf-4b81-bea0-320e8177cbdf- full textbeam-chunktext/plain1 KB
doc:beam/ffb8ee8e-17cf-4b81-bea0-320e8177cbdfShow excerpt
Would you like to explore any specific aspect further, such as mixed precision training or gradient accumulation? [Turn 9464] User: I'm using PyTorch 2.1.8 for secure training, and I've noticed its 99.9% stability in 9,000 runs. However, I…
ctx:claims/beam/b424bd38-46a8-4f5b-8589-c66c43eca88ectx:claims/beam/58819936-209d-4468-a730-a489f3372597- full textbeam-chunktext/plain1 KB
doc:beam/58819936-209d-4468-a730-a489f3372597Show excerpt
[Turn 9474] User: I'm trying to optimize my PyTorch 2.1.8 implementation to achieve better performance. I've noticed that my model is not efficient, and I need help optimizing the code. Can you review my implementation and suggest improveme…
ctx:claims/beam/96e02250-24f3-4d02-92fa-50f9f6210c88ctx:claims/beam/2c4c1cc8-6e5d-4b59-9b7a-c6768d19e511test:release-e2e:e3697cf0428541dd9070a179212a1bb1ctx:claims/lme/7054093e-90ec-441d-8d06-c4f998632a59- full textbeam-chunktext/plain15 KB
doc:beam/7054093e-90ec-441d-8d06-c4f998632a59Show excerpt
[Session date: 2023/05/01 (Mon) 01:59] User: I'm trying to implement a machine learning model for a project, but I'm having trouble with feature scaling. Can you explain the difference between standardization and normalization? Assistant: F…
ctx:research/rosie-research/route-probe
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