The following article is translated from generative-ai-act-two
Scientists, historians, and economists have long studied the optimal conditions for a “Cambrian Explosion” of innovation. In the field of generative AI, we are already witnessing a modern miracle: our generation’s space race.
This moment has been decades in the making. Sixty years of Moore’s Law gave us the computational horsepower to process exaflops of data. Four decades of the internet, accelerated by COVID, provided denmark mobile database trillions of tokens worth of training data. Two decades of mobile and cloud computing put a supercomputer in the palm of everyone’s hand. In other words, decades of technological progress have accumulated to create the necessary conditions for generative AI to take off .
The rise of ChatGPT was the spark that lit the fuse, unleashing a density and enthusiasm of innovation we haven’t seen in years — possibly since the early days of the internet. The breath-taking excitement was especially intense in “Cerebral Valley,” where AI researchers became rock stars and hacker houses were packed every weekend with new autonomous agents and companion chatbots. AI researchers went from literally “hackers in garages” to special forces commanding billions of dollars of computing power. arXiv’s print output was so high that researchers jokingly called for a moratorium on new publications so they could catch up.