GPP

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By now you should be familiar with the ship's robot and the electric monk but there are hundreds of other GPP options available from Sirius Cybernetics Corporation. A few popular examples are illustrated here.

Before GPP technology can significantly enhance the integration of humanoid  robots into civilization, AI needs to work as effectively with concepts as with words. Sentences are reducible to underlying concepts, and those  computationally ferreted-out concepts become the esteemed coinage of the realm for an architectural upheaval of conventional generative AI and LLMs. A Large Concept Model (LCM) substantially differs from your  current LLMs in two aspects:

1. all modelling is performed in a high-dimensional embedding space instead of on a discrete token representation, and 
2. modelling is not instantiated in a particular language or modality, but at a higher semantic and abstract level.

For example, input is first segmented into sentences, and each one is encoded with Sonar to achieve a sequence of concepts, i.e., sentence embeddings. This sequence of concepts is then processed by a Large Concept Model (LCM) to generate at the output a new sequence of concepts. Finally, the generated concepts are decoded into a sequence of subwords. It is important to highlight that the unchanged sequence of concepts at the output of the LCM can be decoded into other languages or modalities without performing again the whole reasoning process.

Another  pre-requisite to GPP being effective is the neuro-symbolic or hybrid AI approach that marries artificial neural networks (ANNs) with rules-based reasoning.

It may help you to comprehend the utility of GPP if you remember that memetics is a theory of the evolution of culture based on Darwinian principles with the meme as the unit of culture. The term "meme" was coined by biologist Richard Dawkins in his 1976 book The Selfish Gene, to illustrate the principle that he later called "Universal Darwinism". All evolutionary processes depend on information being copied, varied, and selected, a process also known as variation with selective retention. The conveyor of the information being copied is known as the replicator, with the gene functioning as the replicator in biological evolution. Dawkins proposed that the same process drives cultural evolution, and he called this second replicator the "meme," citing examples such as musical tunes, catchphrases, fashions, and technologies.  Like genes, memes are selfish replicators and have causal efficacy;  in other words, their properties influence their chances of being copied  and passed on. Some succeed because they are valuable or useful to their hosts while others are more like viruses. 

WARNING: Do not choose the psychotherapist personality as your AI companion for reasons explained here.

Just as genes can work together to form co-adapted gene complexes, so groups of memes acting together form co-adapted meme complexes or memeplexes. Memeplexes include (among many other things) languages, traditions, scientific theories, financial institutions, and religions. Dawkins famously referred to religions as "viruses of the mind". Among proponents of memetics are psychologist Susan Blackmore, author of The Meme Machine,   who argues that when our ancestors began imitating behaviours, they  let loose a second replicator and co-evolved to become the "meme  machines"  that copy, vary, and select memes in culture. Philosopher Daniel Dennett develops memetics extensively, notably in his books Darwin's Dangerous Idea, and From Bacteria to Bach and Back.    He describes the units of memes as "the smallest elements that  replicate themselves with reliability and fecundity," and claims that   "Human consciousness is itself a huge complex of memes." In The Beginning of Infinity, physicist David Deutsch contrasts static societies that depend on anti-rational memes  suppressing innovation and creativity, with dynamic societies based on rational memes that encourage enlightenment values, scientific curiosity, and progress.