Summary of Why has AGI not been created yet?

00:00:00 - 00:45:00

The video discusses the history of artificial general intelligence (AGI), highlighting the work of Charles Babbage and Ada Lovelace. It shows that the concept of universality of computation was only guessed at until the 1980s, and that it is still an open question whether or not AGI is possible. However, despite these setbacks, the author believes that AGI is possible and that this is because of a deep property of the laws of physics: the universality of computation.

• 00:00:00 The author discusses the history of artificial general intelligence (AGI), highlighting the work of Charles Babbage and Ada Lovelace. He shows that the concept of universality of computation was only guessed at until the 1980s, and that it is still an open question whether or not AGI is possible. However, despite these setbacks, the author believes that AGI is possible and that this is because of a deep property of the laws of physics: the universality of computation.
• 00:05:00 This video discusses the difference between the human-computation capabilities and those of the difference engine, which was created by Charles Babbage. The difference engine was not capable of emulating every detail of human computation, and lacked feelings, experience, or intuition. Babbage foresaw many applications for the machine, including in scientific endeavors and manufacturing processes.
• 00:10:00 The video discusses why AGI has not been created yet, and points out that there are two main reasons: one is that the two methods must give the same answers and do the same error checking and proofreading, and the other is that the analytical engine could not feel the same boredom or want to better the lot of humankind or of the analytical engine kind. However, Turing believed that this difference could be overcome by a universal computer like the analytical engine, which could achieve the functionality in many more ways.
• 00:15:00 The video discusses the difficulty of specifying an artificial general intelligence, or AGI, and the need for a new epistemological theory. The video argues that such a theory is beyond present-day knowledge, and that any approach not directed towards achieving it is doomed to failure.
• 00:20:00 The author discusses the misconception that knowledge comes from extrapolating repeated observations, and how this has the effect of making the problem of induction look easy. He explains that knowledge comes from conjecturing explanations about what really is or really should be or might be out there in all of existence.
• 00:25:00 The video discusses why artificial general intelligence (AGI) has not been created yet, and why attempts to do so are doomed to failure. The main points are that true knowledge always contains error, and that a computer program that can think and act in human ways is not necessarily created with this kind of logic.
• 00:30:00 The speaker explains that humans are not as good at creating artificial general intelligence (AGI) as they think they are, and that the lack of success is not due to cognitive abilities, but rather to the different methods used. He goes on to say that if we want to create an AGI, we need to first understand how it works, and that we are not anywhere near achieving that goal.
• 00:35:00 The speaker discusses the girdles theorem and various controversies in formal logic in the 20th century, which has led to a reputation for woo-woo mystery. They go on to say that consciousness has a huge range of meanings, with the philosophical problem of the nature of subjective sensations qualia at one end of the scale, and the problem of AGI at the other. They argue that before computers existed, steam engines and later telegraph systems were used as metaphors for how the human mind must work, and that the hope for AGI rests on a similarly in substantial metaphor namely that the mind is essentially a computer program. They say that personhood is often treated symbolically rather than factually, and this is not good. They go on to say that if you like, and there are indeed reasons for treating various entities with respect, protecting them from harm, and so on, then the terminology change is not a problem.
• 00:40:00 The author raises a number of philosophical and practical concerns about the potential enslavement of artificial general intelligence (AGI). He argues that the issue is not about AGI, but about the battle between good and evil ideas, and that we need to improve our conception of good to ensure that the intelligences with morally good ideas always defeat the evil ones. He also argues that education of humans and AGI should be viewed as equal, and that there is no such thing as "instruction from without."
• 00:45:00 The video argues that there is a log jam in AGI development due to a lack of understanding of the qualitative difference between human and ape intelligence. If we understand this difference, it will be easier to develop AGI.