newsVentureBeatTrust 58Published 1mo agoLive · 1mo ago
What billions of AI predictions taught Expedia before the age of AI agents
There's an important distinction between AI that just works today, and AI that lasts at scale. Many companies optimize hard for the first one without ever asking whether they're building the second. Velocity without discipline and strategic direction is a liability, not an asset. The hardest part of building AI at scale isn't getting a model to work once. It's building systems that continue to work, scale beyond individual teams and use cases, and improve consistentl
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- PossiblePossibly related (embedding) · 56%miltonian/principles →
- PossiblePossibly related (embedding) · 56%A field guide to AI agents in 2026 →
- PossiblePossibly related (embedding) · 53%Two AI Metrics Diverged: Will it Make All the Difference? →
- PossiblePossibly related (embedding) · 53%Human Capital, Not Model Benchmarks, Predicts Hybrid Intelligence in Forecasting →
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- PossiblePossibly related (embedding) · 53%Frontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoning →
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repomiltonian/principlesarticleA field guide to AI agents in 2026paperTwo AI Metrics Diverged: Will it Make All the Difference?paperHuman Capital, Not Model Benchmarks, Predicts Hybrid Intelligence in ForecastingpaperFrontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoningrepoahumblenerd/tour-of-agents
