Critical Advice From The Father of AGI

Ben Goertzel, CEO of SingularityNet, and co-host of the Mindplex Podcast, discusses essential aspects of AGI development including architecture, ownership, and ethical upbringing.
Watch the full episode with Rachel StClair: czcams.com/users/livefUNd2thqlE4
#AGI #AGI Ethics #AGI Ownership
About Dr. Ben Goertzel
Dr. Ben Goertzel is the CEO of SingularityNET and also a co-host of the Mindplex Podcast. Ben’s passions are numerous, including AGI, life extension biology, philosophy of mind, psi, consciousness, complex systems, improvisational music, experimental fiction, theoretical physics and metaphysics.
About Rachel StClair:
Rachel St.Clair is an AI scientist and entrepreneur who after receiving her PhD in complex systems and Brain Sciences and went on to co-found the AGI hardware company Simuli (www.simuli.ai/), making processors that use advanced math and an innovative hardware layout to process more information per transistor by compressing information before processing. Rachel envisions an AGI as a computer system which can outperform human abilities in nearly all tasks while helping humanity avoid existential risks.
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[@williamjmccartan8879]

Great share, lots of information in a bite sized time period, ✌️

[@mindplexpodcast]

so glad u liked it

[@user-tq2hp9nm6b]

Sophiaverse

[@plaguezero]

Your title is ridiculous it's not even true! experts in the field can't agree on exactly just what AGI is... Ben Goertzel certainly hasn't ever created an AI so therefore your title is hyperbolic bullshit

[@mindplexpodcast]

Haha most actual AGI experts can probably agree on it well enough. Where they disagree is how it should be implemented. Really, no one paid any attention to building AGI until the last couple years, and now it's a buzzword (AGI) that many are pretending to build. Meanwhile, Ben has been laser focused on AGI for more than 30 years. Hence him being it's "father."
I stand by my title! Thanks for your comment ^_^ -- Lisa Rein

[@plaguezero]

@@mindplexpodcast
In Ben Goertzel's 1992 book (His FIRST publication) "The Structure of Intelligence: A New Mathematical Model of Mind", the term "AGI" (Artificial General Intelligence) does not appear to be explicitly mentioned. The book primarily focuses on discussing the nature of intelligence through mathematical models and theories related to the mind, addressing topics such as cognitive science, intellect, and philosophy of mind, but it does not directly delve into the concept of AGI as known today​ (PhilPapers)​. The content is more aligned with foundational concepts in cognitive science and the philosophical underpinnings of how intelligence might be structured and modeled mathematically​ (PhilPapers)​.
The term "artificial general intelligence" was used as early as 1997, by Mark Gubrud in a discussion of the implications of fully automated military production and operations. A mathematical formalism of AGI was proposed by Marcus Hutter in 2000.
Ben Goertzel began to significantly focus on the concept of Artificial General Intelligence (AGI) and contributed to its popularization around 2006. This was the year he co-founded the Artificial General Intelligence Research Institute (AGIRI) and started organizing the AGI conference series, which has been a significant platform for advancing the field​ (Goertzel.org)​. These efforts were part of his broader engagement with developing a research community and framework around AGI, reflecting his deep involvement in defining and advancing the concept.

[@plaguezero]

​@@mindplexpodcast
In Ben Goertzel's 1992 book (his first publication) "The Structure of Intelligence: A New Mathematical Model of Mind", the term "AGI" (Artificial General Intelligence) does not appear to be explicitly mentioned. The book primarily focuses on discussing the nature of intelligence through mathematical models and theories related to the mind, addressing topics such as cognitive science, intellect, and philosophy of mind, but it does not directly delve into the concept of AGI as known today​ (PhilPapers)​. The content is more aligned with foundational concepts in cognitive science and the philosophical underpinnings of how intelligence might be structured and modeled mathematically​ (PhilPapers)​.
The term "artificial general intelligence" was used as early as 1997, by Mark Gubrud in a discussion of the implications of fully automated military production and operations. A mathematical formalism of AGI was proposed by Marcus Hutter in 2000.
Ben Goertzel began to significantly focus on the concept of Artificial General Intelligence (AGI) and contributed to its popularization around 2006. This was the year he co-founded the Artificial General Intelligence Research Institute (AGIRI) and started organizing the AGI conference series, which has been a significant platform for advancing the field​ (Goertzel.org)​. These efforts were part of his broader engagement with developing a research community and framework around AGI, reflecting his deep involvement in defining and advancing the concept.
The concept of Artificial General Intelligence (AGI), as a distinct idea from broader artificial intelligence, began to take shape in the mid-20th century. This development coincided with the dawn of the computer age when researchers first posited that machines could eventually perform any work that a human can. By the 1950s, AI was recognized as a legitimate field of study, with initial predictions suggesting that machines with general intelligence could be developed within a few decades. Early AI pioneers, influenced by these optimistic forecasts, contributed foundational work that set the stage for future explorations into AGI.
The term "AGI" itself started gaining more formal recognition and definition in AI research circles much later, with substantial discussions and research focusing on machines that could perform a wide range of cognitive tasks at or above human level, encompassing learning, reasoning, and problem-solving across diverse domains without being limited to specific tasks like earlier AI systems. The explicit differentiation between narrow AI and AGI became more pronounced as researchers aimed to develop systems with broader, more human-like cognitive abilities, which continues to be a significant area of research and debate today.