Stop Throwing More Data at AI. Try This Instead.
We’ve been trapped in a brutal arms race: more data, more compute, bigger models. But a new paradigm called ‘explorative modeling’ introduces a third axis to pre-training that flips our assumptions upside down. It proves that active exploration—not just static data compression—unlocks scaling laws we didn’t know existed.