In 2020 Google described in the Nature magazine article "A graph placement methodology for fast chip design" how it developed a reinforcement learning deep neural network that designs computer chips faster than humans.
Much faster.
The paper discusses a chip design that would take engineers months to design and instead took less than six hours to complete with new AI software at the helm. The system was using an AI system to design chips that can be used to create even more sophisticated AI systems, further speeding up the already exponential performance gains through a virtuous cycle of innovation.
The accelerated chip development and with it the complexity and speed of the AI software which uses it are allowing us to experience the emergence of the AGI (Artificial General Intelligence) and the inevitable next evolutionary step - the ASI (Artificial Super Intelligence) which will deliver us the faster than human reality perception we can tap into at any given time.
The sense of time dilation is a sense we just started learning how to develop and it is limited to the part of humanity which can enjoy both high bandwidth and can allow the time spent in constant connection to the network. As we move toward the end of the decade and the high usage of the network will propagate - the timeline dilation perception ability will become part of everyone's reality turning days into weeks, weeks into years, and years into decades in our internal perception experience.
Time acceleration is already here. It's just not evenly distributed yet.