Wiktor studied computer science and AI on a scholarship awarded to only 5 of 21,000 students each year. At 16, he was the first to build foundational machine learning models for student-school matching, and he bootstrapped the product to 180K users before turning 18.

He is now building Reactive AI, a memory-augmented neural architecture that learns dynamically from every interaction instead of remaining static like transformers. It runs at 25x lower compute costs than current alternatives, a result Wiktor achieved with just $200K from AWS and Microsoft before completing the first year of his bachelor's degree.

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