The Crisis of Trust in AI Benchmarks The AI industry has a dirty secret: the benchmarks everyone uses to compare models are fundamentally broken. Not because the tests themselves are poorly designed, but because they've become targets for optimization rather than measures of true capability. When benchmark questions and tasks are publicly available, they stop measuring generalization and start measuring memorization. Models are deliberately overfitted to these specific test s

The Data Collection Industry Has Lied to You For years, tech companies have told us the same story: "If you want smart AI, you must sacrifice your privacy." They've convinced millions that surveillance is the price of innovation—that every conversation, every keystroke, every interaction must be harvested, stored, and analyzed by human reviewers to make AI work. At Nexus, we call this what it is: a false choice. What We Don't Collect (And Why That Matters) Let's be crystal cl

Standard AI benchmarks fail to reflect real-world performance. Our independent testing reveals top-tier models often underperform.