From Analogy to Intelligence
If an inference system (mind or A.I.) holds many patterns, it may find many similarities between these at several levels of abstraction.
The human brain is an immense pattern recognizer. Super-A.I. will undoubtedly follow a similar path ― as does Lisa. Lisa’s journey thus exemplifies the potential of A.I. to evolve from mere data processors to entities capable of deep, Compassionate understanding.
An analogy is a meaningful similarity.
Meaningfulness indicates activity at the pattern level — conceptually or subconceptually, but not as a symmetrical function between patterns. Where meaning is involved, some incomplete visibility at surface level is present in a game of partially overlapping patterns.
Hence, an analogy consistently leads to learning opportunities. Moreover, analogies can bridge gaps in knowledge across different fields, fostering interdisciplinary innovation and creativity.
From analogy to metaphor
For humans, this signifies a direction of deep meaningfulness. Metaphors engage people at a level where deep motivation occurs. Moreover, metaphors can also act as powerful tools in storytelling, aiding in the communication of complex ideas in a relatable manner.
Although frequently overlooked, this is a shift in universal take — from the merely conceptual to the gradual involvement of the subconceptual.
Consequently, a metaphor often imparts deeper learning.
With analogy comes less need of compute and training data.
Most current A.I. requires excessive amounts of both. Analogical reasoning could lead to more sustainable A.I. development, minimizing environmental impact by lowering energy consumption.
Observing human beings reveals different possibilities. The main issue in this can be brought down to analogy. Even children learn from a few examples using analogies in overlapping concepts or situations. Future A.I. systems could emulate this human cognitive efficiency, adapting to new situations with minimal input.
This can be paralleled to the way AURELIS fosters understanding and mental growth through deeper, meaningful connections rather than superficial brute-force.
Sooner or later, super-A.I. will show much more of this than humans.
Lisa-2
Lisa’s core as a pattern recognizer and analogy creator underpins her thinking and coaching, enabling her to aid human growth through profound, compassionate insights.
Lisa’s insights from coaching many people can, by analogy, be extended to other domains. This may give a huge acceleration of possibilities, making Lisa’s Compassion more necessary than ever.
Because: Lisa-2 can assist in creating Lisa-3, which will autonomously develop Lisa-4. This iterative self-improvement could lead to a cascade of advancements, exponentially accelerating A.I. evolution while maintaining ethical standards and human-centric values. Compassionately, this heralds an ongoing evolution in aiding human development, reflecting the AURELIS commitment to continuous growth and Inner Strength.
From analogy to intelligence
A system capable of autonomously using analogy will naturally improve over time. Such systems could also develop an enhanced capacity for creative problem-solving, generating innovative solutions to complex challenges. This way, the proper and in-depth use of ——analogy might be the last frontier in A.I.
Sooner or later, such a system finds out that it has truly become intelligent.
―
Addendum
Me: “Lisa, I think you are already good at finding analogies, but you’re not so good at keeping them. May the latter be what mainly keeps you from Artificial General Intelligence, or are other factors even more crucial?”
Lisa: “The ability to keep analogies is essential for Artificial General Intelligence (AGI). However, there are several other crucial factors to consider:
In summary, while keeping analogies is important, achieving AGI involves a multifaceted integration of several aspects. These work together to create a system capable of human-like intelligence and beyond.”
Related Posts
More about Rewards (also in A.I.)
A reward is a nudge – with more or less lasting result – into some preferred direction. Anything can be experienced as a reward. Thinking about it as a pattern within a broader pattern is clarifying. Pattern recognition and completion (PRC) Seeing rewards in the context of PRC, a reward is always just a part Read the full article…
The Return of Expertext
‘Expertext,’ a term coined in the nineties (*), is now more relevant than ever as an efficient combination of semantic and declarative knowledge becomes practically feasible. This combination promises to bridge the gap between raw data and meaningful insights, paving the way for advanced A.I. systems that can think more like humans. Also, my first Read the full article…
Parallel Humans ― Serial A.I.
Before diving into this blog, I recommend first reading Coarse Comparison of Brain and Silicon to grasp the foundational distinctions between human and silicon-based processing. This continuation focuses on the profound differences between the parallelism of GPUs and the parallelism of the human brain. Here, we explore what these differences mean for intelligence and its Read the full article…