Within just one week, artificial intelligence has achieved remarkable breakthroughs: solving four Erdos Problems and developing a novel matrix multiplication algorithm. What makes this particularly significant is that the AI created this algorithm on its own—it's actively improving and optimizing its own computational methods.

This represents a critical milestone: we're witnessing early signs of recursive self-improvement in AI systems. The algorithm didn't come from human engineers tweaking code. Instead, the system identified inefficiencies in matrix multiplication and engineered a solution autonomously. Each breakthrough compounds the next.

These aren't incremental gains either. Erdos Problems are notoriously difficult open questions in mathematics. Cracking four of them in seven days, combined with algorithmic self-optimization, suggests AI capabilities are accelerating faster than many anticipated. The concern isn't theoretical anymore—it's about how quickly these systems can bootstrap their own capabilities.