University AI Response Paper: Analyzing Key Concepts in Technology

This assignment presents a response paper analyzing key concepts related to artificial intelligence. The paper begins by discussing the 'Law of Time and Chaos' and its implications, including the law of increasing chaos and the law of accelerating returns, emphasizing the role of technology and computation, referencing Moore's Law. The second section examines the potential consequences if computers had stopped in the 1960s versus the 1990s, highlighting society's increasing dependence on computers for essential functions. The final section explores technological advancements expected by 2029, particularly in computational capacity and the interaction between humans and machines, including the advancements in art where machines can actively create artistic marvels. References to relevant literature are also included.

Running head: MEDIA
Media
Name of the Student:
Name of the University:
Author Note:

1MEDIA
Response to “Law of time and chaos”
The law of time and chaos stated that time interval between the events like the nature of
the process significantly affects the future of a process. The events contracts and expands along
with the amount of the passage of time. This again splits up into two aspects including the law of
increasing chaos and law of accelerating returns. The law of increasing chaos highlights that
when the chaos increases, time on the other hand slows down. Whereas, the law of the
accelerating returns states that the order increases, time also speeds up (Boyarsky & Gora, 2012).
Thus, it can be said that the advancement in the technology also plays a role in the evolution of
technology. Computation is an intrinsic part of technology and it is in accordance with the law of
the accelerating returns. It can be seen that the power, value of the computation increases over
time. The Moore’s law on the integrated circuits also justifies the fact that that in every 24
months the size of the transistors reduces to half and their capacity to compute increases
significantly (Waldrop, 2016).
Response to “The day the computers stopped”
The day the computers stopped has provided an account of what will happen if the
computers would have stopped. It has been highlighted that had all the computers stopped during
the 1960, only a few people would have affected. The people can be a few thousand scientists
and the scenario would have gone unnoticed. However, the situation is entirely different had the
had the computers stopped during the 1999, the effect would have been much larger and the
society would have come to a grinding halt. The major reason cited for such a mishap is that
majority of the automated and vital works are carried out by the computers. The grinding halt of
the computers wold have affected the functioning the power distribution, airplanes, subways,
railroads, trucks and buses. The reason for such an instance is that the majority daily works and

2MEDIA
for the computation requirement, humans are entirely dependent on the computers and their
performance determines the progress on humans (Burks, 2013).
Response to “2029”
By 2029 there will be more advancements in the field of the technology and the
computational capacity of the computers will rise as well. In majority of the instances it has been
seen that the researchers work to decode the various regions of the brain and it has been possible
only with the help of computational ability of the computers. The computation ability of the
computers has increased to such an extent where human can actively communicate with the
machines and they are both verbal and the users also receive a tactile feedback. Also in the field
of art the cybernetic artists provide the virtual experience, literary experience, visual and musical
experience. All these artistic works no longer the requires the involvement of the humans,
because machines can actively learn and produce an artistic marvel (Abbott, 2016).

3MEDIA
Reference
Abbott, R. (2016). I Think, Therefore I Invent: Creative Computers and the Future of Patent
Law. BCL Rev., 57, 1079.
Boyarsky, A., & Gora, P. (Eds.). (2012). Laws of chaos: invariant measures and dynamical
systems in one dimension. Springer Science & Business Media.
Burks, A. W. (2013). Logic, computers, and men. The American Philosophical Association
Centennial Series, 183-200.
Waldrop, M. M. (2016). The chips are down for Moore’s law. Nature News, 530(7589), 144.