User Direction
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
User Direction has 4 facts recorded in Dontopedia across 2 references, with 2 live disagreements.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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.
requestsRequests(2)
- Omega Bot
ex:omega-bot - Question at End
ex:question-at-end
alignsWithAligns With(1)
- Issue 659
ex:issue-659
expressesWillingnessToProceedExpresses Willingness to Proceed(1)
- Omega Bot
ex:omega-bot
Other facts (4)
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 | Instruction | [1] |
| Rdf:type | Interaction Choice | [2] |
| Involves Goal | Centralize Data Persistence | [1] |
| Involves Goal | Cleanup Artifact Stuff | [1] |
Timeline
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References (2)
ctx:discord/blah/omega/575- full textomega-575text/plain3 KB
doc:agent/omega-575/bcb4c498-42e8-46a3-b22e-9b111f702f30Show excerpt
[2025-12-04 15:40] omega [bot]: I've created issue #659 to remove all artifact-related tools and mentions from prompts, and shift fully to using PostgreSQL for storage and management. New tools will build on PostgreSQL tables with correspon…
ctx:claims/beam/0e4dede6-52a5-49ce-a450-4813d1738359- full textbeam-chunktext/plain990 B
doc:beam/0e4dede6-52a5-49ce-a450-4813d1738359Show excerpt
- Load and split the dataset into training and testing sets. - Tokenize the data using the tokenizer. 2. **Model Fine-Tuning**: - Define a custom dataset class to handle the tokenized data. - Set up training arguments and defin…
See also
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