Data Science ML Team
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Data Science ML Team has 2 facts recorded in Dontopedia across 2 references.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
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.
containsTeamContains Team(1)
- Plugin Context
ex:plugin-context
involvesAskingInvolves Asking(1)
- Grab Ds ML Team
ex:grab-ds-ml-team
Other facts (2)
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.
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 (2)
ctx:discord/blah/safiersemantics/part-74ctx:discord/blah/safiersemantics/72- full textsafiersemantics-72text/plain2 KB
doc:agent/safiersemantics-72/ed67a7a2-21de-4492-a760-749e1ee367d2Show excerpt
[2026-02-21 13:58] xenonfun: ``` 1. Persistent fp16 (not cast-per-matmul) Our fp16 failed because mm() does 3 dtype casts per matmul × ~120 matmuls = 360 extra GPU kernels. Instead: cast once at the start of each layer, keep intermediat…
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.