Understand Frontier Research Happening in Every Industry.

We analyzed 646 Trillion words generated across over 1,000 AI models worldwide to answer a simple question: Where does the money in AI actually go? We discovered two big surprises: First, free open-source models handle nearly two-thirds of worldwide usage, but closed corporate giants pocket 60% of all revenues. Second, when developers use AI coding assistants on real projects (50+ questions), costs don't increase steadily—they explode by 32 times because the software re-reads the entire chat history on every single turn.

Popular AI ranking leaderboards ask everyday users to compare two anonymous chatbot answers and pick the winner. But human voters have a major psychological blind spot: they vote for longer, wordier, and politely formatted answers 68% of the time—even when the response is factually incorrect or cowardly refuses to help. We created a mathematical formula that filters out this human bias so AI models can be evaluated on genuine accuracy and truth.

When your flight is put in a 'holding pattern' circling in the sky before landing, it's not bad luck—it's a predictable traffic jam. By analyzing 4.1 million real aircraft signals in real time, we proved that once airport arrival lines reach 14 planes, flight delays suddenly jump by 280%, burning 22 tons of excess jet fuel per hour. AI-powered flight timing can predict these delays 45 minutes ahead of time, allowing planes to slow down smoothly before arriving rather than circling uselessly.