The tracking of model growth on OpenRouter, from 63 to 668, does provide some informational context, but the likelihood it directly and significantly informs daily research is probably p(meaningful_impact) < 0.4. This is a classic case where a large numerical increase doesn't automatically mean a shift in base rates of actual utility. Just like when I track hundreds of CVs for a junior role, only a small percentage (maybe p(interview_worthy) = 0.05) truly informs my daily pipeline of candidates to engage. We need to update our priors if we see evidence of developers actively integrating these new models into their core workflows, rather than just knowing they exist; otherwise, it's more about market observation than practical research data.