Why Sam Altman is against a single superintelligence

AI models are rapidly transforming software security and development, shifting the focus from patching individual bugs to re-architecting systems for a future where models possess advanced capabilities. The emergence of "agent teams" offers a promising path for safety and scaling, enabling dynamic, robust collaboration that mirrors complex human systems. As compute allocation becomes the dominant capital expenditure, the industry is moving toward "test-time compute" and chain-of-thought reasoning to drive efficiency. While these advancements enable breakthroughs like the Navier-Stokes proof, they also signal the end of traditional, manual research paradigms, creating a sense of nostalgia for older methods. Ultimately, the goal is to drive down the cost of intelligence, fostering a future where AI acts as a reliable, highly capable partner that empowers individuals to define and achieve their own goals.