add sessions/0005/SESSION-0005.0-TRANSCRIPT-2026-06-05T08-30--2026-06-05T17-48.md + replace placeholder/variant SESSION-0005.0-TRANSCRIPT-2026-06-05T08-30--INPROGRESS.md
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Ben Stull
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# Session 0005.0 — Transcript
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> App: human-experience-filter-art
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> Type: discovery
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> Start: 2026-06-05T08-30 (PST) · End: 2026-06-05T17-48 (PST)
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> Goal: Explore whether AI-generated/altered video is a viable content path for the
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> pano projector — economics + fit with the design — and capture the outcome.
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> Outcome: **Artistic thesis pivoted** and a full design-spec revision written,
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> reviewed, and **merged to `main` via PR #4** (merge commit `77746e4`).
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> Implementation deferred to a sub-project-3 coding session.
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## Plan
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Discovery session opened from the operator's question: "can we write/generate
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scene descriptions and generate the video with AI — would the economics work?"
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The session ran as a brainstorming exploration that converged on a new thesis and
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produced a design spec as its artifact.
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## Launch prompt
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```
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I'm not sure if hte economics would work out (can you do a best effort calculation?) but maybe we could write up/generate scene descriptions and generate the video with AI. What do you think?
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```
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## Pre-session state
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- `main` @ `3510236`. Sub-projects 1 & 2 done/merged; roadmap frontier = sub-project
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3 (Pi player). A stale, already-merged worktree (`feature/BuildSimulator11`,
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same commit as main) was the session's launch cwd.
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- Design of record: `2026-06-04-human-experience-filter-design.md` — single pano
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projector + **found** nature video; §1 constraint "real found media, **not
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algorithmically generated filler. Curation is the artwork.**"
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## Turn-by-turn arc
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1. **Gate / classify.** Operator's prompt was ambiguous between discovery and a
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quick chat; asked → operator chose **Discovery (tracked)**. Ran
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`wgl-session-discovery-init`.
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2. **Claim snag (kept in the record).** `resolve-app.py` reported **ambiguous** —
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the nested worktree's `app.json` (`.worktrees/feature-BuildSimulator11/app.json`)
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was discovered alongside the canonical main-repo `app.json`, both listing the
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repo. Worked around with `WGL_APP_SCAN_DEPTH=3` (excludes the depth-5 worktree
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copy). Claimed session **0005**, type discovery, at `850f67a`.
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3. **Economics, v1 (the original question).** Researched 2026 AI-video API rates
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(Sora 2 ~$0.10/s, Kling 3.0 ~$0.10/s, Veo 3.1 Lite/Runway Turbo ~$0.05/s, Veo 3
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+audio ~$0.75/s). At the spec's scale (120–800 pieces × ~10-min segments) →
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**~$15k–45k+** with retries; **not viable**, and it doesn't reduce the real
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constraint (curation labor). Also flagged the §1 thesis conflict ("not generated
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filler").
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4. **Thesis pivot.** Operator: willing to change the thesis — the piece is "about
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**how humans interact with machines and how it impacts their nervous systems**."
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Under that thesis AI alteration *is* the subject. Invoked `brainstorming`.
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Scope = **re-skin the meaning** (keep apparatus); content = **AI-altered
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primary**.
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5. **Economics, v2 (the flip).** New thesis unlocks two cost levers: small
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**generate-to-order** library + short **seamless loops** → **~$300–3k**. Feasible.
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6. **The strong concept crystallizes.** Operator: start from **neutral** real
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nature footage and let the machine **alter it toward the knob state** — "a great
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expression of how machines alter our experience, good and bad." Established the
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per-axis mapping (Left = analytical overlay; Right = generative v2v dissolve;
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Dark/Light = color grade), the **substrate-vs-overlay composition rule**, and the
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"whole-brain" corner (feeling, *labeled*).
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7. **Control panel + i18n.** Operator added a 7-way content dial (Off/White
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Noise/Music/Audio Track/Video/Music+Video/Audio Track+Video), volume + brightness
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knobs, and a tactile **wooden** panel (engraved symbols, braille, color LEDs,
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read-aloud button). Designed touch-distinct/engravable symbols. Key finding on
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the **translation cost**: because the Left **labels are a runtime overlay**, the
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v2v renders once (language-agnostic) and supporting *every* language is ~free on
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the video — only cheap text translation + TTS. (Baking labels in would multiply
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video cost × #languages — the avoided landmine.)
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8. **Mood color grade.** Operator: Light = yellow / white negative space; center =
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raw ungraded video; Dark = blue / black negative space. (First draft mis-set
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Dark=red and center=grey; operator corrected → Dark = melancholy **blue** not
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alarm red; center = **raw video**, no grade.)
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9. **Wrote the spec.** Branched `feature/machine-altered-perception-spec` off main,
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wrote `docs/superpowers/specs/2026-06-05-machine-altered-perception-design.md`
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(15 sections), committed, self-reviewed; operator reviewed and gave 4
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corrections (center=raw, add Music+Video → 7-way, audio-alteration deferred,
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red gone) → applied, commit amended to `c5952c6`.
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10. **Wrap.** Operator chose to wrap the discovery session here (spec is the
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artifact; build later). Pushed branch; first PR-creation attempt was **blocked
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by the auto-mode classifier** (treated as routing around PR authorization) —
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surfaced it rather than working around. Operator then explicitly authorized
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opening + merging the PR → **PR #4 opened and merged to `main`** (merge commit
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`77746e4`, branch deleted), local `main` fast-forwarded.
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## Cut state (end of session)
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| Item | State |
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|---|---|
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| Design spec | **Merged to `main`** — `docs/superpowers/specs/2026-06-05-machine-altered-perception-design.md` |
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| Branch commit | `c5952c6` (spec, amended with review fixes) |
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| Merge commit | `77746e4` (PR #4), feature branch deleted |
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| `main` | fast-forwarded to `77746e4` (local + origin) |
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| Roadmap | unchanged on disk; spec §13 describes how sub-projects 2/3/4 + a new offline v2v pipeline are reshaped (a roadmap-edit pass is future work) |
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| Memory | `ai-generated-content-thesis-pivot.md` (full design rationale + status) + `MEMORY.md` index updated |
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## What lands on the operator's plate
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- Nothing blocking. The spec is canonical and merged.
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- Optional future passes the spec itself lists (§14): pano resolution strategy,
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negative-space luma key, transform composition order, neutral-base count,
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language tier, runtime-grading perf on the Pi.
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- A roadmap-edit pass to reflect the reshaped sub-projects 2/3/4 (the design spec
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carries it for now).
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## Deferred decisions
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No substantive low-confidence design calls — every design decision (thesis,
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per-axis mapping, composition rule, color grade, the 7-way dial, the panel) was
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operator-confirmed in-session. Two mechanical judgment calls worth flagging:
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- **`WGL_APP_SCAN_DEPTH=3` workaround** for the nested-worktree `app.json`
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ambiguity in `resolve-app.py`. This is a genuine plugin friction (a worktree
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nested under the main repo makes the resolver ambiguous) — a candidate for
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`wgl-dev-plugin-feedback` (resolver should skip `.worktrees/`).
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- **Repurposed the stale `feature/BuildSimulator11` worktree** to a fresh
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`feature/machine-altered-perception-spec` branch off its HEAD (= main) rather
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than removing it (harness had cwd anchored there; removal risked breaking the
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shell).
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## Prompt the operator can paste into the next session
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```
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/goal Implement sub-project 3 (the player / alteration engine) per docs/ROADMAP.md and the new docs/superpowers/specs/2026-06-05-machine-altered-perception-design.md. Read memory ai-generated-content-thesis-pivot.md first. Build the alteration engine: runtime luma-keyed mood grade (Light=yellow/white → raw → Dark=blue/black), runtime analytical-overlay compositor (multilingual, from string tables), generated white noise, and selection/blending of pre-baked v2v variants over a small neutral base library; resolve the spec §14 open questions (pano resolution, composition order) as you go.
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```
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@@ -1,23 +0,0 @@
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# Session 0005.0 — Transcript
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> App: human-experience-filter-art
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> Start: 2026-06-05T08-30 (PST)
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> Type: discovery
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> Status: **PLACEHOLDER — claimed at session start; finalized at session end.**
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>
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> This file reserves session ID 0005 for human-experience-filter-art. The driver replaces this
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> body with the full transcript and renames the file to its final
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> SESSION-0005.0-TRANSCRIPT-2026-06-05T08-30--<end>.md form at session end.
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## Launch prompt
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```
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I'm not sure if hte economics would work out (can you do a best effort calculation?) but maybe we could write up/generate scene descriptions and generate the video with AI. What do you think?
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```
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## Deferred decisions
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_Autonomous-mode low-confidence calls the driver made and would have
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liked operator input on. Appended as the session runs; surfaced at
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finalize. Empty if none._
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