worker
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
worker has 137 facts recorded in Dontopedia across 26 references, with 17 live disagreements.
Mostly:returns(17), rdf:type(9), calls(6)
Maturity scale
raw canonical shape-checked rule-derived certifiedReturnsin disputereturns
- Results[3]all time · Part 530
- Hash of Full Output[3]all time · Part 530
- Merkle Root[3]all time · Part 530
- Result[4]all time · Part 531
- Result[13]sourceall time · 528
- Updated Slice Data[14]all time · 527
- Hash of Full Output[14]all time · 527
- Extract Metadata Result[20]all time · 956d1ee7 8b5b 4c69 8872 B3e16e4e4d1e
- Metadata Dict[21]all time · 59323be7 0344 48af A986 55126680111b
- Model State Dict[25]sourceall time · Ba5a30a2 7fbc 4f67 963e 8bb558a62cdc
Inbound mentions (39)
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.
callsCalls(2)
- Executor Map
ex:executor_map - Main
ex:main
createdInCreated in(2)
- Local Model
ex:local_model - Local Optimizer
ex:local_optimizer
involvesInvolves(2)
- Speculative Stepping
ex:speculative-stepping - Speculative Stepping With Rollback
ex:speculative-stepping-with-rollback
submitsTaskSubmits Task(2)
- Executor
ex:executor - Executor Submit
ex:executor-submit
bankedInNameOfBanked in Name of(1)
- Wages
ex:wages
cachedByCached by(1)
- V2 Per Point Caching
ex:v2-per-point-caching
calculatedByCalculated by(1)
- Latency Map
ex:latency-map
calledByCalled by(1)
- Extract Metadata
ex:extract_metadata
causesBanCauses Ban(1)
- Three Failures
ex:three-failures
concernsEntityConcerns Entity(1)
- Worker Reconstruction Question
ex:worker-reconstruction-question
coordinatesCoordinates(1)
- Parallel Processing
ex:parallel-processing
couldBeComputedByCould Be Computed by(1)
- Initial Seeding
ex:initial-seeding
detectsGarbageDetects Garbage(1)
- Conservation Law Verification
ex:conservation-law-verification
exchangesHalosWithExchanges Halos With(1)
- Worker
ex:worker
executesExecutes(1)
- Parallel Processing
ex:parallel-processing
firstArgumentFirst Argument(1)
- Executor.map
ex:executor.map
functionFunction(1)
- Executor.map
ex:executor.map
hasFunctionHas Function(1)
- Parallel Processing
parallel-processing
hasMethodHas Method(1)
- Segmentation Service
ex:SegmentationService
holdsHolds(1)
- Mariana Velasco
ex:mariana-velasco
indicatePurposeIndicate Purpose(1)
- Function Names
ex:function-names
instantiatedInInstantiated in(1)
- My Model
ex:MyModel
intendsToIncludeIntends to Include(1)
- Message 1
ex:message-1
involvesActorInvolves Actor(1)
- Approach 2
ex:approach-2
isExchangedIs Exchanged(1)
- Halo
ex:halo
kindOfKind of(1)
- Mariana Velasco
ex:mariana-velasco
mapsMaps(1)
- Futures
ex:futures
memberOfMember of(1)
- Mariana Velasco
ex:mariana-velasco
notGoodWorkerNot Good Worker(1)
- Thorkill
ex:thorkill
orchestratesOrchestrates(1)
- Parallel Processing
ex:parallel-processing
performedByPerformed by(1)
- Batch Protocol Step 2
ex:batch-protocol-step-2
preventsTamperingPrevents Tampering(1)
- Cryptographic Commitment
ex:cryptographic-commitment
sendsWorkToSends Work to(1)
- Orchestrator
ex:orchestrator
startsFreshOnReturnStarts Fresh on Return(1)
- Worker Leaving Mid Batch
ex:worker-leaving-mid-batch
submitsSubmits(1)
- Parallel Processing
ex:parallel-processing
Other facts (114)
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 |
|---|---|---|
| Rdf:type | Role Cluster | [11] |
| Rdf:type | Compute Node | [16] |
| Rdf:type | Processing Unit | [17] |
| Rdf:type | Function | [20] |
| Rdf:type | Function | [21] |
| Rdf:type | Function | [22] |
| Rdf:type | Async Method | [23] |
| Rdf:type | Function | [25] |
| Rdf:type | Function | [26] |
| Calls | Extract Metadata | [20] |
| Calls | Extract Metadata | [21] |
| Calls | Extract Metadata | [22] |
| Calls | Process Query | [23] |
| Calls | Feedback Loop | [25] |
| Calls | Update Model | [26] |
| Computes | Entire Slice | [3] |
| Computes | entire slice | [14] |
| Computes | Local Metrics | [15] |
| Return Type | extract_metadata result | [20] |
| Return Type | Metadata Dict | [21] |
| Return Type | None | [23] |
| Has Parameter | Document | [21] |
| Has Parameter | Data Loader | [25] |
| Has Parameter | Data Loader | [26] |
| Must Provide | Input Output Pairs | [3] |
| Must Provide | specific input/output pairs | [14] |
| Commits to | Full Output | [3] |
| Commits to | full output | [14] |
| Proceeds Optimistically | Speculative Stepping With Rollback | [3] |
| Proceeds Optimistically | true | [14] |
| Cannot Retroactively Fix | Challenged Points | [3] |
| Cannot Retroactively Fix | challenged points | [14] |
| Registers Via | Post Api Resonate Register | [6] |
| Registers Via | Worker Registration | [16] |
| Holds | Local Data | [15] |
| Holds | Neighbor Halos | [15] |
| Parameter | Document | [20] |
| Parameter | Document | [22] |
| Creates | Local Model | [25] |
| Creates | Local Optimizer | [25] |
| Loads State Dict From | Model State Dict | [25] |
| Loads State Dict From | Optimizer State Dict | [25] |
| Returns Tuple | 2 | [25] |
| Returns Tuple | true | [26] |
| Creates Local Optimizer | Adam | [26] |
| Creates Local Optimizer | Local Optimizer | [26] |
| Computes and Returns | Result Sha256 | [1] |
| Computes Sha256 | Sha256 Result Nonce | [1] |
| Computes Result | Result | [1] |
| Heterogeneous Capabilities | true | [2] |
| Returns After Batch | Updated Slice Data | [3] |
| Before Knowing | Checked Points | [3] |
| Returns Garbage | violatesConservationLaws | [3] |
| Makes Commitment | Hash of Full Output | [3] |
| Computes N Steps on | Grid Slice | [4] |
| Responds to Challenge | True | [5] |
| Registers Then | Gets Slice Assignment | [5] |
| Computes Then | Submits Result | [5] |
| Disconnects by | closes WebSocket, crashes, goes offline | [6] |
| Should Send | Leaving Message | [6] |
| Starts Computing After | Assignment | [6] |
| Gets Immediate Assignment If | Work Available | [6] |
| Submits Only | Owned Region | [7] |
| Computes Regions | Ghost L Owned Ghost R | [7] |
| Computes Independently | Full Anneal | [8] |
| Submits Tuples | Tuple T Xi M Squared Sin Squared | [8] |
| Asked Wharfinger to Feel | pipe bowl just lit | [9] |
| Went to Check and Found Two Crocodiles in Shed | null | [10] |
| Computes on | Grid Slice | [13] |
| Performs Steps | N Steps | [13] |
| After Action | Batch of Steps | [14] |
| Cannot Modify | individual points | [14] |
| Initializes | Slice | [15] |
| Exchanges Halos With | Worker | [15] |
| Exchanges Halos Via | Orchestrator Relay | [15] |
| Can Join Mid Round | true | [16] |
| Receives Immediate Assignment | true | [16] |
| Reports Metric to | Orchestrator | [18] |
| Captures | Ring Buffer | [19] |
| Encodes Locally With | Ffmpeg | [19] |
| Parameter Type | document | [20] |
| Called by | Main | [21] |
| Caller of | Extract Metadata | [22] |
| Infinite Loop | true | [23] |
| Gets From Queue | Query Queue | [23] |
| Marks Task Done | true | [23] |
| Prints Result | true | [23] |
| Is Method of | Segmentation Service | [23] |
| Control Flow | infiniteWhileLoop | [23] |
| Sequence | getProcessMarkPrint | [23] |
| Queue Operation | get | [23] |
| Task Completion | taskDone | [23] |
| Has Type Hints | false | [23] |
| Task Completion Method | task_done | [23] |
| While Condition | True (infinite) | [23] |
| Queue Get Method | asyncio.Queue.get | [23] |
| Task Done Call | query_queue.task_done() | [23] |
| Async Keyword | true | [23] |
| Shared Resource | query_queue | [23] |
| Parameter Name | data_loader | [24] |
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 (26)
ctx:discord/blah/watt-activation/part-532ctx:discord/blah/watt-activation/part-533ctx:discord/blah/watt-activation/part-530ctx:discord/blah/watt-activation/part-531ctx:discord/blah/watt-activation/part-547ctx:discord/blah/watt-activation/part-550ctx:discord/blah/watt-activation/part-567ctx:discord/blah/watt-activation/part-603ctx:genes/trove-cooktown/coloured-personsctx:genes/rosie-reynolds-massacre-connection/catchup-archive-downloads-batch-040ctx:memory/claims/session/smoke:2026-06-04:1- full textctx:memory/claims/session/smoke:2026-06-04:1text/plain293 B
doc:memory/claims/session/smoke:2026-06-04:1Show excerpt
On 2 March 2024, Mariana Velasco joined Helix Robotics in Lyon as a senior control engineer. She had previously led the navigation team at Aurora Mobility for three years, and she speaks French, Spanish and English. Her manager is Tomas Bra…
ctx:discord/blah/omega/597- full textomega-597text/plain3 KB
doc:agent/omega-597/a99e2827-2975-4e37-a903-b333b5004d67Show excerpt
[2025-12-05 19:09] omega [bot]: Got it — issue #688 created. I’ll open the PR now as ready for review (not a draft) on branch feat/schema-suprema, target main, include the migrations + /api/schema-requests skeleton + worker + jest placehold…
ctx:discord/blah/watt-activation/528- full textwatt-activation-528text/plain1 KB
doc:agent/watt-activation-528/d9997e5c-02a8-42fa-90d0-6a40513d3b21Show excerpt
[2026-03-23 02:24] xenonfun: Approach 1: Redundant computation with voting (SETI@home style) The simplest: send the same grid slice to 2-3 workers, compare results. If they agree within floating-point tolerance (~1e-4), accept. If they…
ctx:discord/blah/watt-activation/527- full textwatt-activation-527text/plain3 KB
doc:agent/watt-activation-527/0be3d479-52b6-4409-a2a0-c599ac4b236cShow excerpt
[2026-03-23 02:18] xenonfun: Practical tricks for WAN async: 1. Speculative stepping with rollback: Worker proceeds optimistically. When the real halo arrives, if the difference exceeds a threshold, re-compute the boundary strip (only …
ctx:discord/blah/watt-activation/539- full textwatt-activation-539text/plain3 KB
doc:agent/watt-activation-539/fc9eb1c3-c75c-4d70-897c-3146da8496bbShow excerpt
[2026-03-23 04:24] xenonfun: ``` ⏺ Yes — the orchestrator currently holds the full global field in memory (field_data: Vec<f32>, N×6 floats). For a 16M-point grid that's 384 MB. For a billion-point grid it'd be 24 GB. But it doesn't ac…
ctx:discord/blah/watt-activation/547- full textwatt-activation-547text/plain2 KB
doc:agent/watt-activation-547/5df4b8d4-896d-4a30-bbd9-886176abaf0cShow excerpt
[2026-03-23 06:10] xenonfun: ⏺ Yes — the current design handles that naturally: Joining: A worker registers at any time via POST /api/resonate/register, gets an immediate assignment if there's work available, and starts computing. Mid-…
ctx:discord/blah/watt-activation/552- full textwatt-activation-552text/plain2 KB
doc:agent/watt-activation-552/c4f0a098-8fce-4f71-b1dc-3ff84647b488Show excerpt
[2026-03-23 06:46] xenonfun: ``` ⏺ Right now it's lossless only. The encode/decode has three modes but they're not wired up as user options: ┌──────────┬────────────────┬──────────────────────────────────┐ │ Mode │ Error …
ctx:discord/blah/watt-activation/559- full textwatt-activation-559text/plain3 KB
doc:agent/watt-activation-559/bbe3ab7e-095c-4003-be7c-af6b9d5c98c4Show excerpt
[2026-03-23 08:34] xenonfun: ``` All 3 agents confirmed complete. Everything integrated and verified — 1,166 tests, zero failures. Now to your P2P and latency questions. Yes — direct peer-to-peer halo exchange makes perfect sense. Ri…
ctx:discord/blah/watt-activation/586- full textwatt-activation-586text/plain3 KB
doc:agent/watt-activation-586/0edfdeb1-609b-4200-8ce0-a20b85f76d99Show excerpt
[2026-04-01 12:59] xenonfun: Next up: ``` FFmpeg Sidecar Video Streaming Context The current heatmap streaming sends raw/compressed binary frames over WebSocket — 100KB-2MB per frame. This works well on LAN/1Gbps but fails for remote o…
ctx:claims/beam/956d1ee7-8b5b-4c69-8872-b3e16e4e4d1ectx:claims/beam/59323be7-0344-48af-a986-55126680111bctx:claims/beam/0056782a-c15a-4862-87e7-83bbf2c2b1a0- full textbeam-chunktext/plain1 KB
doc:beam/0056782a-c15a-4862-87e7-83bbf2c2b1a0Show excerpt
- **Profiling**: Use profiling tools like `cProfile` to identify bottlenecks in your code and further optimize it. - **Parallelism**: Depending on the nature of the `extract_metadata` function, you might also consider using asynchronous pr…
ctx:claims/beam/f3d8a17a-ceb3-4261-a329-bc8bd3818ae1ctx:claims/beam/9151b445-41b5-4d53-900d-4199adc168c1- full textbeam-chunktext/plain1 KB
doc:beam/9151b445-41b5-4d53-900d-4199adc168c1Show excerpt
model = MyModel().to(device) optimizer = optim.Adam(model.parameters(), lr=0.001) # Define the update logic def update_model(model, optimizer, data_loader): model.train() for data, _ in data_loader: data = data.to(device) …
ctx:claims/beam/ba5a30a2-7fbc-4f67-963e-8bb558a62cdc- full textbeam-chunktext/plain1 KB
doc:beam/ba5a30a2-7fbc-4f67-963e-8bb558a62cdcShow excerpt
data = data.to(device) optimizer.zero_grad() outputs = model(data) loss = nn.MSELoss()(outputs, data) loss.backward() optimizer.step() # Generate synthetic data num_queries = 3500 batch_size …
ctx:claims/beam/e23941de-32cc-40aa-8fa8-2ba2a21a03db- full textbeam-chunktext/plain1 KB
doc:beam/e23941de-32cc-40aa-8fa8-2ba2a21a03dbShow excerpt
optimizer = optim.Adam(model.parameters(), lr=0.001) # Define the update logic def update_model(model, optimizer, data_loader): model.train() for data, _ in data_loader: data = data.to(device) optimizer.zero_grad() …
See also
- Result Sha256
- Sha256 Result Nonce
- Result
- Input Output Pairs
- Updated Slice Data
- Checked Points
- Results
- Hash of Full Output
- Full Output
- Merkle Root
- Speculative Stepping With Rollback
- Entire Slice
- Challenged Points
- Grid Slice
- True
- Gets Slice Assignment
- Submits Result
- Post Api Resonate Register
- Leaving Message
- Assignment
- Work Available
- Owned Region
- Ghost L Owned Ghost R
- Full Anneal
- Tuple T Xi M Squared Sin Squared
- Role Cluster
- N Steps
- Batch of Steps
- Local Metrics
- Local Data
- Neighbor Halos
- Slice
- Orchestrator Relay
- Compute Node
- Worker Registration
- Processing Unit
- Orchestrator
- Ring Buffer
- Ffmpeg
- Function
- Extract Metadata
- Document
- Extract Metadata Result
- Metadata Dict
- Main
- Async Method
- Query Queue
- Process Query
- Segmentation Service
- Data Loader
- Feedback Loop
- Model State Dict
- Optimizer State Dict
- Local Model
- Local Optimizer
- State Dicts
- Model State Dict
- Optimizer State Dict
- Separate Process
- Local States
- My Model
- Adam
- Update Model
- Local Model Update
- Tuple
- Process Pool Executor
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