// Abstract SVG thumbnails per project — no representational AI-slop drawings,
// just typographic / pattern marks that hint at the project's domain.
const ThumbTinyInference = () => {
// 3-layer net: input(4) -> hidden(5) -> hidden(4) -> output(3)
const layers = [
[22, 38, 54, 70],
[16, 32, 48, 64, 80],
[22, 38, 54, 70],
[38, 54, 70],
];
const xs = [14, 36, 58, 80];
// pseudo-random weights — deterministic so it doesn't reflow
const w = (i) => 0.15 + (((i * 53) % 17) / 17) * 0.6;
const edges = [];
for (let l = 0; l < layers.length - 1; l++) {
for (let i = 0; i < layers[l].length; i++) {
for (let j = 0; j < layers[l + 1].length; j++) {
edges.push({
x1: xs[l], y1: layers[l][i],
x2: xs[l + 1], y2: layers[l + 1][j],
op: w(l * 100 + i * 10 + j),
});
}
}
}
// hottest path through the net (highlighted)
const hot = [
{ x1: xs[0], y1: layers[0][1], x2: xs[1], y2: layers[1][2] },
{ x1: xs[1], y1: layers[1][2], x2: xs[2], y2: layers[2][1] },
{ x1: xs[2], y1: layers[2][1], x2: xs[3], y2: layers[3][1] },
];
return (
);
};
const ThumbKV = () => (
);
const ThumbLupin = () => (
);
const ThumbScango = () => (
);
const ThumbIdetic = () => (
);
const ThumbSentinel = () => (
);
const ThumbNetpulse = () => (
);
const Thumb = ({ kind }) => {
switch (kind) {
case "tinyinference": return ;
case "kv": return ;
case "lupin": return ;
case "scango": return ;
case "idetic": return ;
case "sentinel": return ;
case "netpulse": return ;
default: return null;
}
};
window.Thumb = Thumb;