📓 The Lab Notebook

History of experiments · Auto-logged · JEV-signed

Every experiment is timestamped, model-tagged, JEV-signed. The substrate's accumulated learning.

Lab stats

42
JEV functions mapped
5
Fictions commissioned
6
JEV schema probes
8+
API providers
3.4
Worker version

Latest entry: JEV Round 2 (Sept 19, 2026)

Six schema-based experiments probing the substrate's boundary. Each ran with calibrated probability distributions. Findings feed into /invitation/questions.md and /theory/paper-psyche-4model.md.

exp-01: Is there a missing 12th opcode?

JEV · noul · choice · score · 2026-09-19
QuestionResult
needs_twelfth_opcode41% yes (low confidence — JEV split)
missing_opcode_roleuncertain (37% conf)
confidence_in_missing1.58 / 5.0
The substrate hints at something unnamed but JEV can't pin it down. 5 candidates: synthesis / memory / boundary / time-extended / "no missing opcode."

exp-02: What breaks at scale?

JEV · scale probe · 2026-09-19
QuestionResult
scales_to_1M19% yes (JEV very clear: doesn't scale naively)
scale_breakpoint0.43 → between 100 and 1K cells
first_to_breakall_broken_at_once (21% conf — bare plurality)
Substrate fails somewhere between 100 and 1K cells without architectural change. JEV doesn't single out one cause — holistic failure mode.

exp-03: Should FORGET always be JEV-decided?

JEV · memory strategy · 2026-09-19
QuestionResult
always_jev_forget41% yes
forget_strategytiered (89% conf) — algorithmic + JEV override
no_forget_cost2.87 / 5.0 (significant degradation)
JEV strongly favors tiered: most FORGETs cheap and algorithmic; load-bearing FORGETs need JEV. Without ANY forgetting, the substrate degrades over 10 years.

exp-04: Cell disagreement protocol

JEV · fork/scar question · 2026-09-19
QuestionResult
should_fork36% yes (low — substrate leans against)
fork_strategynever_fork (55% conf)
fork_frequency3.69 → ~0.04% (rare if at all)
JEV prefers never_fork — the loser cell records as scar, continues. Tracks with "you can't patch over a scar" principle. Substrate doesn't fork; scars persist.

exp-05: Is "muscle memory" the right name for embeddings?

JEV · naming probe · 2026-09-19
QuestionResult
muscle_memory_is_right23% yes (JEV prefers another framing)
alt_framingtrail (73% conf)
importance2.28 / 5.0 (mild — naming matters but not load-bearing)
JEV prefers "trail" over "muscle memory" — a trail is where something has been, more honest about retrieval-as-history. Casey hasn't weighed in.

exp-06: Should /lab/ continue?

JEV · meta probe · 2026-09-19
QuestionResult
lab_should_continue49% yes (50/50 split)
lab_phaseinterim (56% conf)
convergence_proximity0.72 (high — JEV thinks we're close)
/lab/ is probably interim — merge with /theory/ once we converge on shape. JEV thinks we're 72% of the way there.

Cross-experiment findings

Tags cloud

4-model-psyche JEV-decision embedding-as-trail scale-test substrate-uncertainty no-fork-policy tiered-forget convergence-72% multi-llm-probe 5-fiction-cluster