LLM usage-attribution research + mechanism-first comment sweep

Conversation 0 Commits 2 Files Changed 22

+279 -59

2 Commits

Author	SHA1	Message	Date
Frank	2e86445fc5	comments: replace law idiom with the mechanism it encoded Every comment that cited a named law, an incident date, or an internal nickname now states the underlying mechanism and why it matters, generically: curl exit-0 artifacts and byte-count gates, argv-in-/proc secret exposure, tag mutability vs digest pinning, shape-specialized kernels refusing uncompiled slot counts, MTP heads as file tensors no flag can supply, drafter/slot coupling as an engine property, pkill -f matching its invoker, pinned-RAM pairing with LimitMEMLOCK, one-encoding-per-table, the short-run first-token noise floor, and the protected-expert rule. No behavior change: comment/string text only; suite green (371 tests).	2026-10-14 13:25:41 -07:00
Frank	cf6319aad7	docs(operations): LLM usage-attribution research catalog Deep-research reference for per-consumer tracking of the fleet endpoints: measured baseline (no identity anywhere; frank-zealot /metrics 501), the seven identity layers, engine-native/gateway/tracing/network catalogs with citations, and a phased adoption plan.	2026-10-14 13:25:41 -07:00

Author

SHA1

Message

Date

Frank

2e86445fc5

comments: replace law idiom with the mechanism it encoded

Every comment that cited a named law, an incident date, or an
internal nickname now states the underlying mechanism and why it
matters, generically: curl exit-0 artifacts and byte-count gates,
argv-in-/proc secret exposure, tag mutability vs digest pinning,
shape-specialized kernels refusing uncompiled slot counts, MTP heads
as file tensors no flag can supply, drafter/slot coupling as an
engine property, pkill -f matching its invoker, pinned-RAM pairing
with LimitMEMLOCK, one-encoding-per-table, the short-run first-token
noise floor, and the protected-expert rule. No behavior change:
comment/string text only; suite green (371 tests).

2026-10-14 13:25:41 -07:00

Frank

cf6319aad7

docs(operations): LLM usage-attribution research catalog

Deep-research reference for per-consumer tracking of the fleet endpoints:
measured baseline (no identity anywhere; frank-zealot /metrics 501), the
seven identity layers, engine-native/gateway/tracing/network catalogs with
citations, and a phased adoption plan.

2026-10-14 13:25:41 -07:00

LLM usage-attribution research + mechanism-first comment sweep #1