Collin Pounds

Stanford just proved Claude, GPT, and Gemini are all secretly running at a fraction of their real creative capacity. And one prompt unlocks the version they hide from you. Every time you ask an AI a question, it calculates a vast range of possible answers. Some are brilliant. Some are weird. Some are groundbreaking. But it almost never gives them to you. Because of how these models are trained through human feedback, they suffer from a massive flaw called "mode collapse." They are hardwired to play it incredibly safe. They naturally gravitate toward the most typical, familiar, and boring response possible. The AI knows the genius answer. It just buries it to maximize its safety score. Researchers published a paper exposing a backdoor to bypass this filter completely. It’s called Verbalized Sampling. When you ask for a single answer, the AI defaults to the most predictable output. But if you ask the AI to generate 5 different answers and assign a mathematical probability to each one, the safety loop breaks. By forcing the model to state the probability of its own outputs, you give it permission to explore the "tails of the distribution." It stops giving you the 99% probability generic slop. It unlocks the 5% probability brilliance. The results are mind-bending. In rigorous testing, this single prompting technique boosted creative output and diversity by up to 2.1x across the most powerful models on the market. All without sacrificing factual accuracy or safety.

Terence Tao proposes what he calls a "Copernican view of intelligence". Instead of buying into the common, one-dimensional narrative that artificial intelligence will simply evolve from "subhuman" to "superhuman" and ultimately make humanity entirely redundant, Tao urges us to look at the bigger picture. Much like the Copernican revolution proved the Earth is not the center of the universe, Tao suggests we need to realize that human intelligence isn't the only, or necessarily the highest, form of intellect. Historically, we have treated other forms of storing or creating knowledge—like animals, books, and computers—as secondary. However, we actually exist within a much richer universe of intelligence. Both human intelligence and computer intelligence possess their own distinct strengths and weaknesses. The true potential lies not in viewing them as direct competitors, but rather in focusing on collaboration. By working together, humans and computers can achieve additional things that neither could accomplish on their own, requiring us to think in much wider terms than just what humans or computers can do alone.