Adjust the Vectors
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Adjust the Vectors has 24 facts recorded in Dontopedia across 7 references, with 3 live disagreements.
Mostly:rdf:type(4), involves knowledge dense corpus(2), prefers knowledge dense over web prose(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (7)
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.
alternativeToAlternative to(1)
- Solution 2
ex:solution-2
demonstratesDemonstrates(1)
- Corrected Code Solution 1
ex:corrected-code-solution-1
identifiesSolutionIdentifies Solution(1)
- Ajaxdavis
ex:ajaxdavis
presentsPresents(1)
- Assistant
ex:assistant
proposesSolutionProposes Solution(1)
- Log Entry 2026 03 07 05 32
ex:log-entry-2026-03-07-05-32
recommendsRecommends(1)
- Recommendation 1
ex:recommendation-1
requiresFactualPretrainingCorpusRequires Factual Pretraining Corpus(1)
- Factual Qa
ex:factual-qa
Other facts (22)
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 | Proposed Solution | [2] |
| Rdf:type | Solution | [3] |
| Rdf:type | Proposed Solution | [4] |
| Rdf:type | Proposed Solution | [7] |
| Involves Knowledge Dense Corpus | Wikidata | [1] |
| Involves Knowledge Dense Corpus | Wikipedia | [1] |
| Prefers Knowledge Dense Over Web Prose | Web Prose | [1] |
| Solution Number | 1 | [2] |
| Involves Action | Ignore Vercel Checks | [2] |
| Location of Action | Github | [2] |
| Agent Capable of Action | Ajaxdavis | [2] |
| Proposes Value | 1800 | [3] |
| Ordinal Position | 1 | [5] |
| Proposes Action | Clamp or normalize coupling K | [5] |
| Proposes Example | tanh or L2-normalize the coupling matrix | [5] |
| Method | vector-adjustment | [6] |
| Solves Problem | Dimension Mismatch Problem | [6] |
| Has Code Example | Corrected Code Solution 1 | [6] |
| Alternative to | Solution 2 | [6] |
| Has Sub Point | Efficient String Processing | [7] |
| Has Sub Item | Efficient String Processing | [7] |
| Has Sub Strategy | Efficient String Processing | [7] |
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 (7)
ctx:discord/blah/watt-activation/part-178ctx:discord/blah/blah/11- full textblah-11text/plain3 KB
doc:agent/blah-11/200680a7-8423-48ff-a9a2-261cde3d3bc6Show excerpt
[2026-02-21 17:29] foxhop.: The annoying errors are almost certainly from Vercel's GitHub integration which creates check runs on every commit. This is controlled by Vercel's project settings, not GitHub Actions. …
ctx:discord/blah/training-and-evals/11- full texttraining-and-evals-11text/plain3 KB
doc:agent/training-and-evals-11/5e6024b9-dce0-4ec3-b112-06d13e1c5c96Show excerpt
[2026-02-21 16:35] ajaxdavis: ``` ● The models are all up — the problem is the eval runner itself. Here's what's happening: …
ctx:discord/blah/watt-activation/26- full textwatt-activation-26text/plain3 KB
doc:agent/watt-activation-26/33435d36-2781-4f3b-ab35-e0cdf2197a23Show excerpt
[2026-03-06 16:23] xenonfun: On making conversational: ``` Right — no EOS token means the model just generates forever until you hit max_new_tokens. A few paths to fix this, in order of effort: 1. Heuristic stop (zero retraining, works …
ctx:discord/blah/watt-activation/44- full textwatt-activation-44text/plain3 KB
doc:agent/watt-activation-44/35af5294-4efe-43b8-a39d-23df23087144Show excerpt
[2026-03-07 05:32] xenonfun: ``` Not good. The loss trajectory tells a clear story: ┌────────┬─────────────────────────┐ │ Iters │ Avg Loss │ ├────────┼─────────────────────────┤ │ 0-2K │ 6.56 (learning) │…
ctx:claims/beam/b99b8773-86e1-4542-99be-ea39973cacf9- full textbeam-chunktext/plain1 KB
doc:beam/b99b8773-86e1-4542-99be-ea39973cacf9Show excerpt
If you want to keep the collection dimension at 128, you need to adjust the vectors to have 128 dimensions each. For example: ```python vectors = [ [1.0] * 128, # A vector with 128 elements, all initialized to 1.0 [2.0] * 128 # A…
ctx:claims/beam/19c1f8b1-161e-4f87-b39c-ef6eff6a3aa9- full textbeam-chunktext/plain1 KB
doc:beam/19c1f8b1-161e-4f87-b39c-ef6eff6a3aa9Show excerpt
[Turn 10808] User: I've been investigating delays in our system and found that Unicode handling issues are causing latency to spike to 350ms for 10% of 4,000 queries, which is a significant problem, and I'm looking for ways to optimize the …
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