The idea table now shows 83/69/18 (the soft-program default) with a 'who you
teach matters more than how many' framing; the model section describes the
forwarding composite (baseline, raised by novelty, lowered by harm awareness)
and the soft education lever instead of the old fixed-rate / never-forward
wording. Background acknowledges the team's literature sourcing of the
parameters and frames this demo as the accessible layer of the funded
instrument (calibration, full parameters, optimisation). Preset About copy
updated to match.
DefaultConfig now describes a more realistic world: a moderately novel fake
(novelty 0.3), some ambient harm awareness (0.2), and a strong but imperfect
education program (programEffect 0.8) so educated students mostly, not always,
refuse. The headline shifts from 99/70/7 (a perfect program) to 100/83/21 out
of 120 (83/69/18 percent): no program >> random >> most-connected still holds,
targeting still wins by ~4x, but the program is no longer a perfect wall.
Golden values re-pinned in the engine and API tests; the preset base matches.
The forward-chance formula test now neutralises its baseline so it pins the
formula, not the tuned defaults.
go generate brings novelty, harmAwareness, programEffect into the
generated Config and Bounds; preset base, field labels, the clamp switch,
and the test fixtures pick them up. No UI for them yet (that is the next
slice); behaviour and the demo are unchanged. type-check, unit tests and
lint all green, so CI's type-drift guard is satisfied.
The milestone 2 parity page becomes the spec's dashboard: app bar with
wordmark, disclaimer badge and About popover, theme toggle (persisted,
defaults to prefers-color-scheme, applied pre-mount to avoid a flash),
hero with the preset narrative and live toned percentages, scenario
toolbar, panel cards with skeleton loading and dim-while-refreshing,
legend, and footer. ComparisonTable evolves into the collapsed
ResultsTable (test moved along, plus a formatPct rounding case).
NetworkView renders the real topology with the spec's shape encodings.
The layout is seeded d3-force (mulberry32 random source, seeded initial
positions, 300 synchronous ticks, cached per graph hash); anisotropic
forceX/forceY pulls settle the cloud into the wide card shape so the
fit stays uniform-scale and the spacing organic. Justin asked for a
taller network area (380x230) and a reading caption under the legend;
the caption is study copy, so StudyPreset gains a readingCaption field.
Slices still to come keep their controls visibly parked: Export and the
panel kebab render disabled until slices 11 and 7.
useSimStore is the one reactive module singleton from the spec: panels
over a shared base config, runs debounced 400 ms, one POST /api/scenario
per panel in parallel, results swapped in atomically only when every
request succeeds. Failures keep the last good results; engine 400s are
routed to an inline validationError, everything else to the banner
message. Stale in-flight responses lose to newer runs per panel.
URL state follows spec section 7 (readable params, repeated panel=,
focus index, full fallback to the preset on any malformed part) and is
covered by round-trip and rejection tests. The study copy and initial
panels live in the deepfake-school preset module; formatPct is the
single percent-rounding rule.
The vitest tsconfig now keeps lib at ES2022 like the app config, and
prettier skips the tygo-generated src/types (drift guard stays green).
