universal
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
universal has 45 facts recorded in Dontopedia across 4 references, with 3 live disagreements.
Mostly:involves operations(5), has extra learnable vectors(2), rdf:type(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (1)
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.
activationCompetitorActivation Competitor(1)
- Super Chat 20260225143238 Sa7h
ex:super-chat-20260225143238-sa7h
Other facts (43)
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 |
|---|---|---|
| Involves Operations | Matmul | [4] |
| Involves Operations | Silu | [4] |
| Involves Operations | Mul Gate | [4] |
| Involves Operations | Mul Skip | [4] |
| Involves Operations | Add | [4] |
| Has Extra Learnable Vectors | 2 | [1] |
| Has Extra Learnable Vectors | 2 | [4] |
| Rdf:type | Activation Function | [2] |
| Rdf:type | Activation Function | [4] |
| Has Initial Config | gate=1 | [4] |
| Has Initial Config | skip=0 | [4] |
| Adapts Activation Shape Over Steps | 20 | [1] |
| Causes Lower Tok Per Second | Same Hardware | [1] |
| Does Not Get Faster | true | [1] |
| Evaluated Positively for Loss Drop | true | [1] |
| Ffn Forward Pass Sequence | matmul → silu → mul(gate) → mul(skip) → add → matmul | [1] |
| Has Fixed Tok Per Second | true | [1] |
| Has Lower Tok Per Second | Simple Activations | [1] |
| Has Op Count Per Ffn Forward Pass | 6 | [1] |
| Has Ops Multiplier Relative to Gelu | 2 | [1] |
| Improves Loss Per Compute | true | [1] |
| Improves Loss Per Step | true | [1] |
| Known to Have Gate and Skip Params | true | [1] |
| Learns Per Channel Blends | true | [1] |
| Optimizes Learnable Params Via Backprop | true | [1] |
| Selected Despite Slower Speed | Symbio Fitness | [1] |
| Starts As | Silu Activation | [1] |
| Wins If Drops Loss Faster | 2× faster per step than gelu | [1] |
| Learnable Param Count | 2 | [2] |
| Definition | f(x) = silu(x)*gate + x*skip | [2] |
| Init Strategy | starts as SiLU | [2] |
| Learning Goal | blend nonlinear + linear paths per channel | [2] |
| Init Gate Value | 1 | [2] |
| Init Skip Value | 0 | [2] |
| Init Mode | pure SiLU | [2] |
| Param Change During Warmup | Minimal Movement | [3] |
| State During Warmup | Fixed Starting Point | [3] |
| Has Speed Over Time | Fixed Speed | [4] |
| Has Op Count | 6 | [4] |
| Has Learnable Vector Shape | [1,ffnDim] | [4] |
| Has Learnable Params | gate/skip | [4] |
| Initializes As | SiLU | [4] |
| Learns Feature | per-channel blends | [4] |
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 (4)
ctx:discord/blah/training-and-evals/part-28ctx:discord/blah/training-and-evals/23- full texttraining-and-evals-23text/plain3 KB
doc:agent/training-and-evals-23/70bec41a-b6db-4999-9455-15d7176b4205Show excerpt
[2026-02-25 14:27] omega [bot]: **Symbio Search Math Problem** Current run `super_chat_20260225140824_ee4k` has a config mismatch: ``` 50000 candidates × 3000 steps × 20 gens = 3,000,000,000 total search steps But only 50,000 total trainin…
ctx:discord/blah/training-and-evals/24- full texttraining-and-evals-24text/plain2 KB
doc:agent/training-and-evals-24/b280a4e7-48a7-4bc2-9593-e4261e806744Show excerpt
[2026-02-25 14:46] omega [bot]: **Selective Pressure — Three Mechanisms** **1. Evaluation Pressure** (per-candidate) Each candidate gets exactly 30 steps to prove itself. Records bestLoss, bestValLoss, fitnessScore. At 30 steps during warm…
ctx:discord/blah/training-and-evals/28- full texttraining-and-evals-28text/plain3 KB
doc:agent/training-and-evals-28/d5fb7857-3e3e-4219-8c84-377b4bfc1defShow excerpt
[2026-02-25 15:46] omega [bot]: **When Do Universal & KAN Spline Get Faster?** Short answer: **they don't get faster.** Their tok/s is fixed by their op count. But here's the full picture. **Op count per FFN forward pass (per layer × 8 la…
See also
Keep researching
Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.