Is anyone able to contrast MIT's 6.034 "Artificial Intelligence, Fall 2010" versus 18.065 "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018"?
I'm wanting to use the one that lies slightly closer to the more theoretical/foundational side as supplementary study and have really enjoyed listening to both Instructors in the past.

I'm only peripherally involved with ML/AI in that I try and apply some helpful techniques to biological problems but recently I have enjoyed listening to discussions around AGI but most of the papers I've come across from a quick google scholar search seem to be *about* AGI and not attempts at implementing something closer to, or approaching, AGI.
Is that a fair assessment? Has my lack of depth in the field given me a false initial glance?
Are there any authors/labs working on AGI in particular whose papers you would recommend reading?
e.g. "Artificial General Intelligence vs. Industry 4.0: Do They Need Each Other?", "Deep Learning and Artificial General Intelligence: Still a Long Way to Go", "Why general artificial intelligence will not be realized", and, "Approaches to Artificial General Intelligence: An Analysis", all seem to be about AGI in contrast to, "Towards artificial general intelligence via a multimodal foundation model", which attempts to implement something.
Full disclosure: I haven't read these papers yet. I am trying to find good, reputable papers to read.