InfoTech – Tech Trends, 2024

The InfoTech's report "Tech Trends, 2024" discusses the famous Moore's Law, which predicted that computer processing power would double every two years. This trend held true for decades, but there is now debate over whether it will continue, as we may be reaching the physical limits of transistor packing. However, the broader lesson learned from Moore's Law is the feedback loop between humanity and technology, leading to exponential advancement in computing. Chip designers used high-performance computing (HPC) to achieve Moore's Law, which created a symbiotic relationship between the two. This feedback loop resulted in the development of nanometer-scale chips that power smartphones and wearables. Similarly, developers have formed a symbiotic relationship with machine learning systems, specifically generative AI models. These models have seen exponential growth in terms of computing power and complexity over the past five years. However, concerns have been raised about the ethics of data collection and whether creators' consent was sought when using their work to train these algorithms. The intersection of copyright concepts and training algorithms is a subject of ongoing lawsuits. Some developers argue for slowing down the exponential growth of AI models to prevent the predatory exploitation of data and creators' work. Overall, the introduction highlights the historical significance of Moore's Law, the symbiotic relationships formed in technology development, and the ethical considerations surrounding the exponential growth of AI models.