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live demo: bump cadence back up to ~1 event/sec

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2500ms read too slow. 1000ms is the sweet spot — under the real
ceiling of ~1.5/sec but still lively enough to feel like a working
inference loop.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Max Gorog 2026-05-08 16:52:37 -05:00
parent ab21217261
commit ac630997c3
2 changed files with 6 additions and 7 deletions
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11
training/dashboard/static/dashboard.js
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@ -2272,11 +2272,10 @@ def train_nn(*, model, X_train, y_train, X_val, y_val,
const PROFILES = ['cpu-saturate', 'ransomware-lite', 'bursty-c2', 'fork-bomb', 'crypto-miner'];
const PHASES = ['clean', 'armed', 'infecting', 'infected_running', 'dormant'];
let counter = 0;
// Inference rate is bounded by how often new 10-second windows
// close on the fleet, not by A100 forward-pass speed. With ~3
// hosts × one window every 10 s × 5 models = ~1.5 events/sec
// total — so the demo ticks every 2.5 s to stay honest. Going
// any faster is misleading about real deployment cadence.
// ~1 event/sec — slow enough that the audience can read each
// prediction as it lands, fast enough that the lanes feel
// alive. Real ceiling is ~1.5/sec (3 hosts × 5 models × one
// window every 10 s) so we're under it but not by a lot.
demoTimer = setInterval(() => {
const m = MODELS[counter % MODELS.length];
counter++;
@ -2297,7 +2296,7 @@ def train_nn(*, model, X_train, y_train, X_val, y_val,
window_idx: counter,
t_wall: Date.now() / 1000,
});
}, 2500);
}, 1000);
}
function demoStop() {
demoActive = false;

2
training/dashboard/static/index.html
View file

@ -1313,6 +1313,6 @@
</article>
</div>
<script src="/static/dashboard.js?v=aa585e5d"></script>
<script src="/static/dashboard.js?v=44e715a3"></script>
</body>
</html>