Artificial Super Intelligence Might be Here Already....

Artificial intelligence is poised to fundamentally accelerate scientific discovery, potentially triggering a "compressed 21st century" where decades of progress in biology and medicine occur within a few years. Recent research demonstrates that AI tools, specifically graph neural networks, streamline material science by automating idea generation and design, leading to a measurable increase in patent filings and product prototypes. While these technologies significantly enhance researcher productivity, they simultaneously provoke anxiety regarding job displacement and the obsolescence of traditional scientific training. As AI evolves toward superintelligence, its primary value lies in driving breakthroughs that could solve major health challenges and extend human lifespans, rather than merely performing administrative tasks. This shift forces a re-evaluation of professional skills, as scientists increasingly transition from manual experimentation to managing AI-driven innovation cycles.