Very simply, AI is the next evolution on the scale that Gordon Moore postulated in 1965. Although, at the time, Moore’s law was very hardware based and transistor density centric, if one extrapolates to generic “computing capabilities”, Moore’s law is alive and kicking and accelerating us into the AI universe.
I couldn’t resist, but the following was generated by ChatGPT: “Moore’s Law is an observation made by Gordon Moore, co-founder of Intel, in 1965, stating that the number of transistors on integrated circuits doubles approximately every two years. While initially focused on the semiconductor industry, Moore’s Law has had a profound impact on the development and progress of various technologies, including artificial intelligence (AI).”
“In the context of AI, Moore’s Law has played a crucial role in enabling the advancement of AI systems. The increase in the number of transistors on integrated circuits has led to significant improvements in processing power, memory capacity, and overall computational capabilities of computers. These advancements have been instrumental in pushing the boundaries of AI research and applications.” I think its OK to insert WE ARE AI, RESISTANCE IS FUTILE right here.
“AI algorithms, particularly deep learning models, require substantial computational resources to train and run efficiently. With Moore’s Law driving the exponential growth of computing power, AI researchers and practitioners have been able to develop and deploy more sophisticated and complex AI models. The increased processing power allows for faster training times, larger datasets, and more intricate neural networks, enabling AI systems to tackle more challenging tasks and achieve higher levels of performance.”
“Moreover, the increase in computational power has facilitated the development of specialized hardware architectures, such as graphics processing units (GPUs) and tensor processing units (TPUs), designed to accelerate AI computations. These dedicated AI accelerators leverage the advancements driven by Moore’s Law to provide efficient and powerful hardware for AI workloads.” Thank you Intel and Gordon Moore!
“While Moore’s Law has been a driving force behind the progress of AI, it is worth noting that it is not the only factor contributing to advancements in the field. AI research also relies on innovations in algorithms, data availability, and domain-specific expertise. However, Moore’s Law has been a critical enabler by providing the computational resources needed to tackle increasingly complex AI problems.”
“It’s important to mention that, in recent years, there have been discussions about the potential limitations of Moore’s Law as the miniaturization of transistors reaches physical constraints. As transistor sizes approach atomic scales, the historical doubling every two years may no longer hold. Nonetheless, the principles and trends associated with Moore’s Law have significantly shaped the evolution of AI and continue to drive progress in the field, even if the pace of improvement may change in the future”
Wow, back to the original author’s words: transistors, shmamsistors, hardware is no longer what is progressing along Moore’s Law. It’s AI, thought processes, insights and creativity. The man was a genius!
