Re: AI

Good points, about which ChatGPT concludes:

The blog post argues that intelligence is the emergent coordination of purpose, learning, context-awareness, and generativity. StratML embodies this paradigm by structuring the intentions, roles, and performance expectations of systems — thus making them legible to both humans and machines. In this sense:



StratML operationalizes the theory of intelligence articulated in the blog — by serving as the semantic infrastructure for intelligent, purpose-aware systems.


https://chatgpt.com/share/6833679a-d374-800b-ba68-95ba2c6e000e
See also Consciously Connected Communities, Effecting Change in Complex Systems and perhaps Emergence + Supermajoritarianism
Owen Amburhttps://www.linkedin.com/in/owenambur/
 

    On Sunday, May 25, 2025 at 01:22:29 PM EDT, Sebastian Samaruga <ssamarug@gmail.com> wrote:   

 Saying Artificial Intelligence in and of itself is an oxymoron. Intelligence is a natural attribute that emerges in a given system, organic for example, as the result of learning to solve problems that arise in a given context due to the need to satisfy certain needs.
Instinct is nothing more than that same learning codified at a more basic or "automatic" level, while intelligence in the form of knowledge is the ability to transfer previous experiences to new contexts and the capacity to draw analogies between different elements and their roles in each new context for decision-making.
Every system has an underlying intelligence subject to the domain of the needs to be resolved inherent to its function in its context or, in other words, how its existence fits into its context to minimally guarantee, if only its survival—its most basic need—among the other roles of its context thanks to the stability achieved so that each system subsists after having "learned," first through trial and error, and then by applying acquired knowledge, how to interact in each situation.
The concept of "purpose" and its most basic manifestation in the resolution of needs is fundamental to understanding the power of developing the attribute of "intelligence" in any system. The most basic purpose is subsistence. The evolution of more elaborate purposes, which lead to more complex needs, is the "intelligent" learning of behaviors that have yielded satisfactory results, becoming "reasons" or "causes" that justify certain goal-directed behaviors.
The tool upon which the attribute "intelligence" is built in an entity or system is the notion of consciousness, or the understanding of the intelligent system as an entity "aware" of itself, of what it "is" on the inside, the understanding of its composition, needs, and capabilities, and of what it "is not," that is, its surrounding circumstances. Other systems and entities are understood through "empathy," or the learned knowledge of the roles and purposes of other types of systems around it, perhaps also intelligent with their own particular roles and purposes.
The most distinctive feature of an entity or system that has developed the attribute "intelligence" is its ability to develop or "engender" new entities or systems and the ability to turn these new systems into "tools" for resolving the needs of its purposes, this "generative" mechanism becoming a purpose in itself. Biological systems have this intelligence built into their nature. Reproduction is a means of ensuring survival through the existence of a group of "peers" of the same species who protect and collaborate with each other.
In itself, an "intellectual" system, a product of the evolution of a biological system, develops this capacity to generate systems or tools to resolve the needs of the purposes it has adopted throughout its interaction with its peers and with other systems around it throughout its existence and evolution.
https://sebxama.blogspot.com/2025/05/ai-english.html