Dynamic-Routing

TL;DR for operators A routing system can observe congestion accurately and still price a route badly. The reason is temporal: current speed is highly relevant to a road a vehicle will enter now, but it can be a poor estimate for a segment the vehicle will not reach for several minutes. HLSR1 addresses that mismatch without continually reconsidering every vehicle in the network. It selects vehicles plausibly affected by detected congestion, then changes how much it trusts live versus predicted traffic according to when each route segment is expected to be reached. ...

TL;DR for operators A document assistant has already found several relevant pages but still cannot support an answer. The next action should depend on why the evidence is inadequate: perhaps another page is missing, or perhaps the answer is already present but buried in a table, region, or cross-page relationship that needs closer inspection. ...

Latency has a way of turning elegant model architecture into an invoice. Mixture-of-Experts models were supposed to soften that invoice. Instead of sending every token through the same dense feed-forward machinery, an MoE layer sends each token to only a few experts. In theory, this gives us scale without paying for all parameters on every token. In practice, many deployed MoE models still behave like a restaurant that insists every guest order the same number of dishes. The experts differ, but the billable count is fixed. ...