A moderately detailed consideration of interactive LLMs as cognitive systems is given, focusing on LLMs circa mid-2023 such as ChatGPT, GPT-4, Bard, Llama, etc.. Cognitive strengths of these systems are reviewed, and then careful attention is paid to the substantial differences between the sort of cognitive system these LLMs are, and the sort of cognitive systems human beings are. It is found that many of the practical weaknesses of these AI systems can be tied specifically to lacks in the basic cognitive architectures according to which these systems are built. It is argued that incremental improvement of such LLMs is not a viable approach to working toward human-level AGI, in practical terms given realizable amounts of compute resources. This does not imply there is nothing to learn about human-level AGI from studying and experimenting with LLMs, nor that LLMs cannot form significant parts of human-level AGI architectures that also incorporate other ideas. Social and ethical matters regarding LLMs are very briefly touched from this perspective, which implies that while care should be taken regarding misinformation and other issues, and economic upheavals will need their own social remedies based on their unpredictable course as with any powerfully impactful technology, overall the sort of policy needed as regards modern LLMs is quite different than would be the case if a more credible approximation to human-level AGI were at hand.

Ben Goertzel said the sky's "not even the limit" when it comes to the potential impact of artificial general intelligence. The co-creator of the social humanoid robot Sophia says artifical general intelligence (AGI) and super AGI are mere decades away, and he warns that the subsequent disruption from these artificial intelligence (AI) models will cause a significant amount of political and economic "mayhem" before massive benefits to humanity are seen. Speaking with Fox News Digital on the global aspects of the transition from the present day to AGI, Dr. Ben Goertzel highlighted the need to develop a beneficial, compassionate super general intelligence model to ensure humanity flourishes. Often referred to as the "singularity" – the point AGI exceeds human intelligence and reasoning – humankind will be at the whim of the AI model's motivations and behaviors. AI researchers and futurologists have repeatedly said that this inflection point is still decades away. Given the current timeline of AI acceleration, Goertzel concurred with friend and computer scientist Ray Kurzweil, calling it a "fair approximation" that human-level AGI will be created around 2029.

Software bots operating in multiple virtual digital platforms must understand the platforms' affordances and behave like human users. Platform affordances or features differ from one application platform to another or through a life cycle, requiring such bots to be adaptable. Moreover, bots in such platforms could cooperate with humans or other software agents for work or to learn specific behavior patterns. However, present-day bots, particularly chatbots, other than language processing and prediction, are far from reaching a human user's behavior level within complex business information systems. They lack the cognitive capabilities to sense and act in such virtual environments, rendering their development a challenge to artificial general intelligence research. In this study, we problematize and investigate assumptions in conceptualizing software bot architecture by directing attention to significant architectural research challenges in developing cognitive bots endowed with complex behavior for operation on information systems. As an outlook, we propose alternate architectural assumptions to consider in future bot design and bot development frameworks.

I recently attended the 15th annual conference on Artificial Generally Intelligence (AGI-22) that was held in Seattle this August, in an attempt to familiarize myself with new developments that could lead to the eventual creation of an Artificial General Intelligence (AGI). An AGI is a type of advanced AI that can generalize across multiple domains and is not narrow in scope. Examples of narrow AI include an autonomous vehicle, a chatbot, a chess bot, or any other AI which is designed for a single purpose. An AGI in comparison would be able to flexibly alternate between any of the above or any other field of expertise. It consists of a speculative type of AI that would take advantage of nascent algorithms such as transfer learning, and evolutionary learning, while also exploiting legacy algorithms such as deep reinforcement learning.

The Jam Galaxy band will be performing in New York City on June 22 at a satellite event of NFT.NYC. Tickets are on sale now! Jam Galaxy band and Desdemona robot had a very successful (and loud!) debut on the main stage of NAMM 2022 in Anaheim California! Jam Galaxy band is making history as the first band with an AI-powered humanoid robot as a lead vocalist -- and the first serious artistic exploration of the synergy between AI-generated spoken word poetry and improvised jam band music! It was fascinating to watch the people in the NAMM audience turn and realize that it was a robot's voice floating out over the palm trees and the late morning crowd -- looks of surprise, shock, and smiles and then a whole row of cameras being held up in the front row.

This month has been packed with excitement and progress for the SingularityNET organization and ecosystem. We're happy to share some brief highlights from around our ecosystem. Don't miss it -- the DynaSets open beta is about to start; see this blogpost for all information. SingularityDAO also released their 2022 Roadmap. You can read all five parts of it on their Medium blog page. They shared their plans to launch a wide variety of new DynaSets -- some entirely AI-driven, while others implement advanced shorting & leveraged features and even one community-chosen set.

A multi-decade exploration into the theoretical foundations of artificial and natural general intelligence, which has been expressed in a series of books and papers and used to guide a series of practical and research-prototype software systems, is reviewed at a moderate level of detail. The review covers underlying philosophies (patternist philosophy of mind, foundational phenomenological and logical ontology), formalizations of the concept of intelligence, and a proposed high level architecture for AGI systems partly driven by these formalizations and philosophies. The implementation of specific cognitive processes such as logical reasoning, program learning, clustering and attention allocation in the context and language of this high level architecture is considered, as is the importance of a common (e.g. typed metagraph based) knowledge representation for enabling "cognitive synergy" between the various processes. The specifics of human-like cognitive architecture are presented as manifestations of these general principles, and key aspects of machine consciousness and machine ethics are also treated in this context. Lessons for practical implementation of advanced AGI in frameworks such as OpenCog Hyperon are briefly considered.

It is argued that a broad class of AGI-relevant algorithms can be expressed in a common formal framework, via specifying Galois connections linking search and optimization processes on directed metagraphs whose edge targets are labeled with probabilistic dependent types, and then showing these connections are fulfilled by processes involving metagraph chronomorphisms. Examples are drawn from the core cognitive algorithms used in the OpenCog AGI framework: Probabilistic logical inference, evolutionary program learning, pattern mining, agglomerative clustering, pattern mining and nonlinear-dynamical attention allocation. The analysis presented involves representing these cognitive algorithms as recursive discrete decision processes involving optimizing functions defined over metagraphs, in which the key decisions involve sampling from probability distributions over metagraphs and enacting sets of combinatory operations on selected sub-metagraphs. The mutual associativity of the combinatory operations involved in a cognitive process is shown to often play a key role in enabling the decomposition of the process into folding and unfolding operations; a conclusion that has some practical implications for the particulars of cognitive processes, e.g. militating toward use of reversible logic and reversible program execution. It is also observed that where this mutual associativity holds, there is an alignment between the hierarchy of subgoals used in recursive decision process execution and a hierarchy of subpatterns definable in terms of formal pattern theory.

In such a world, multiple sorts of value will be respected, quantified with a variety of smart contracts going far beyond the money-like tokens dominating the blockchain world today. The rich aesthetic, social, spiritual and imaginative value of humans, other animals, plants and new forms of self-organizing living systems will be supported and woven together with advanced digital and quantum technologies, without pressure to reduce the value of an entity to the degree of its participation in efficient processes of material production.

The ultimate vision of artificial intelligence are systems that can handle the wide range of cognitive tasks that humans can. The idea of a single, general intelligence is referred to as Artificial General Intelligence (AGI), which encopmasses the idea of a single, generally intelligent system that can act and think much like humans. However, we have not yet achieved this concept of the generally intelligent system and as such, current AI applications are only capable of narrow applications of AI such as recognition systems, hyperpersonaliztion tools and recommendation systems, and even autonomous vehicles. This raises the question: Is AGI really around the corner, or are we chasing an elusive goal that we may never realize? Dr. Ben Goertzel CEO & Founder of the SingularityNET Foundation is particularly visible and vocal on his thoughts on Artificial Intelligence, AGI, and where research and industry are in regards to AGI. Speaking at the (Virtual) OpenCogCon event this week, Dr. Goertzel is one of the world's foremost experts in Artificial General Intelligence.