Part 4/10:
In the current framework, silicon technology appears as the primary bottleneck propelling the chase for higher computational power. While advancements have been made, including improvements in chip efficiency and capabilities, achieving the next leap in this domain takes substantial time. The argument posits that once silicon technology can be optimized further, the advancements could lead to significant progress towards AGI.
Looking back at the concept of neural networks, it is noted that while these technologies have existed for decades, their real potential was unlocked only with sufficient computational resources. This raises a critical question: if improvements in silicon are realized, is the journey towards AGI inevitably assured?