MLX
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
MLX has 15 facts recorded in Dontopedia across 5 references, with 1 live disagreement.
Mostly:primary characteristic(3), contextualizes apple silicon inference(1), rdf:type(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (5)
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.
assumesExistenceOfAssumes Existence of(1)
- Text
ex:text
attributesOptimizationToAttributes Optimization to(1)
- Code Change 8
ex:code-change-8
correctForFrameworkCorrect for Framework(1)
- Vectorized Dead Code Revival
ex:vectorized-dead-code-revival
describesLimitationOfDescribes Limitation of(1)
- Per Layer Groups Issue
ex:per-layer-groups-issue
referencesAppleMLXLibraryReferences Apple Mlx Library(1)
- Mlx
ex:mlx
Other facts (11)
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 |
|---|---|---|
| Primary Characteristic | dense tensor compute | [4] |
| Primary Characteristic | lazy graph construction | [4] |
| Primary Characteristic | dynamic execution with optional compilation | [4] |
| Contextualizes Apple Silicon Inference | null | [1] |
| Rdf:type | Software Framework | [2] |
| Supports Complex Numbers | true | [4] |
| Supports Sparse Tensors | not-as-primary-strength | [4] |
| Built Around Dense Arrays | true | [4] |
| Has Lazy Computation Graph | true | [4] |
| Lazy Graph Is Not Sparse Graph Execution | true | [4] |
| Execution Backend | Metal | [4] |
Timeline
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References (5)
ctx:discord/blah/watt-activation/part-170ctx:discord/blah/watt-activation/34- full textwatt-activation-34text/plain2 KB
doc:agent/watt-activation-34/d27c3240-c724-48a3-81cc-130cc7f77918Show excerpt
[2026-03-07 00:11] xenonfun: Deep dive LR schedule gene system in symbiogenesis · 14 tool uses · 65.8k tokens │ ⎿ Done └─ Deep dive SymbioGPT training pipeline LR handling · 15 tool uses · 64.4k tokens ⎿ Done ⏺ Now I have ev…
ctx:discord/blah/watt-activation/78- full textwatt-activation-78text/plain2 KB
doc:agent/watt-activation-78/29aa0ca9-9bd7-4e6c-a0f9-62769e7f15b8Show excerpt
[2026-03-07 19:03] xenonfun: ``` 25/25 still passing. Re your points: - 7.1: Added mx.contiguous() before folding in __call__. No need in step() since the squeeze already collapses the length-1 dim, producing contiguous output. - 7.2…
ctx:discord/blah/watt-activation/261- full textwatt-activation-261text/plain2 KB
doc:agent/watt-activation-261/cff3e001-d69b-4ec5-ad12-55031acbf11eShow excerpt
[2026-03-13 01:44] xenonfun: ``` • Almost all of it is the learned position embedding. Breakdown for the current lohe_spherical + lohe_v3 run at d=832, L=6, vocab=8192, seq=131072: - pos_emb: 109,051,904 params, 87.23% - attention b…
ctx:discord/blah/watt-activation/295- full textwatt-activation-295text/plain3 KB
doc:agent/watt-activation-295/3934680b-d58b-4c73-8470-2c337c1a045eShow excerpt
[2026-03-14 04:39] xenonfun: ```❯ ⏺ Now I have the full picture. Here's my MLX performance review: Spherical VQ — MLX Performance Review Good patterns: 1. _l2_normalize uses + eps inside sqrt (line 38) — matches lohe_normalize sema…
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