Month: January 2025

“The most exciting phrase to hear in science, the one that heralds new discoveries, is not ‘Eureka!’ but ‘That’s funny…’” — Isaac Asimov. This statement rings especially true in today’s AI landscape, where a shift from ambitious, resource-intensive AGI “moonshots” is prompting people to say, “That’s funny… maybe there’s a more efficient way.” For years, much of the AI world focused on scaling ever-larger models, fueled by massive datasets and state-of-the-art infrastructure. Yet recent events, including a historic $600 billion drop …