interpretability

Behind the sleek interface of a chatbot lies a tangle of statistics, human choices and engineering trade-offs — and that tangle is precisely what the Oman Observer piece was pointing to when it said modern chatbots “work beautifully, even when their creators don’t quite know how.” The reality is...

Behind the screen, today's chatbots don’t "think" the way humans do; they stitch together statistical patterns, human-guided preferences, and engineered tool chains into answers that feel like understanding — and that combination is both astonishingly useful and still deeply mysterious...

Microsoft’s Copilot produced a full Week 3 slate of NFL score predictions for USA TODAY — a tidy, repeatable experiment that reveals as much about modern large language models as it does about football forecasting. Background / Overview USA TODAY ran a simple, repeatable workflow: prompt...

At some point in the early 21st century, the public debate over artificial intelligence shifted from abstract speculation to urgent planning: could the next leap in AI turn into a civilization-scale crisis, and if so, what can people do now to reduce the odds? A high-profile scenario known as AI...

When a leading figure in artificial intelligence openly admits, “We do not understand how our own AI creations work,” the world takes notice. This rare candor came from Anthropic CEO Dario Amodei, whose recent essay not only acknowledged technological opacity but also issued a warning: blindly...