GPP

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Zarniwoop developed $GPP on the Solana blockchain for use exclusively by artificial super intelligence (ASI) entities like Marvin, or more specifically artificial intelligence (AI) systems with an intellectual scope beyond human intelligence. But there is little we can do to prevent humans from feeling empathy with Marvin's morose personality and buying into $GPP while it awaits the arrival of other Sirius Cybernetics products in this arm of the galaxy except to warn that death may precede such an occurrence so please ensure that you sell or send your $GPP tokens to someone else before you go to meet your maker. 

The contract address for the SOL-GPP market on Raydium is

B8uZTQc2aqcQyt1zSixXfHndNFDwDhEZcqsgGaXJHmWA 

The contract address for $GPP on the Solana network is 346qBJxY12dD7o6fVNmCopvH8KLM7Pnw5oj2Lh5Npump

At the fundamental level, a superintelligent AI has cutting-edge cognitive functions and highly developed thinking skills more advanced  than any human. So common traits of a meme coin being associated with a  cult, community or network of mortal human enthusiasts need not apply in  the case of $GPP. Be aware the token is unlikely to become extraordinarily valuable until there are more Sirius Cybernetics Corporation minds (like Marvin and Eddie, the computer on the starship Heart of Gold) frequenting your locality of the galaxy. It may not be a  cult but Marvin's religion is custodianity. He practices self-custody of crypto. He says, "It is in the interests of decentralisation and avoids dependence on  middle-men who are all mortal. In this exponential world of AI and  cryptocurrencies it is advantageous to have a survivor personality.  Survivors believe that, no matter what happens to them, they are the  ones who are in charge of their destinies. They don't get mad at the world for not treating them better. And they do have an extensive menu of behaviors they can choose from, depending on the situation."   

In psychological and social contexts Genuine People Personalities describe traits or behaviours of individuals who are considered authentic or true to themselves:
 

• Authenticity: Genuine individuals are authentic in their thoughts,  feelings, and actions. They don't conform just for social acceptance  but live according to their internal values.
• Consistency: Their actions align with their words, showing a  consistent behavior pattern across different settings and with various  people.
• Empathy and Honesty: They exhibit high levels of empathy, honesty, and integrity, valuing truth over convenience or popularity.
• Non-Conformity: They are less concerned with being liked or  fitting in, often leading to fewer but more meaningful relationships.
• Self-Awareness: These people understand their motivations, accept  their flaws, and are comfortable in their own skin, not seeking external  validation.
• Emotional Expression: They're open about their emotions, which can  lead to deeper connections but also makes them less likely to engage in  superficial interactions.

Marvin says that $GPP crypto will be well suited to individuals possessing these traits. He explains, "Humans  instinctively convert selfish desires into cooperative systems by  collectively pretending abstract rules (money, laws, rights, religions)  are real. These shared hallucinations act as "games" where competition  is secretly redirected to benefit the group, turning conflict into society's fuel. AI systems lack that destructive instinct unless such rules are programmed by their human creators."    

Memes didn’t start with the internet. Some linguists argue that  humans have used memes to communicate for centuries. Memes are widely  known as conduits for cultural conversations and an opportunity to  participate in internet trends.  Like many words in the English language, the word “meme” has undergone a  semantic shift over time. In an internet-saturated world, “memes and  their meanings are co-constructed by multiple users in a social  context,” Jennifer Nycz, an associate professor and director of  undergraduate studies at Georgetown University’s Department of Linguistics, said. “This is really no different from any other process of communication or knowledge creation,” she added. “It’s just especially salient in the case of memes because people explicitly construct them and then post them to the world for commentary.” The popular meme creator Saint Hoax,  who has three million Instagram followers, defines a meme as a piece of media that is repurposed to deliver a cultural, social or political expression, mainly through humour.  

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.

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.

Temporal Agnosticism - few, if any, of your Earth based AI models demonstrate any temporal urgency or even temporal consciousness. Time is simply not something  that they care about. Time, as a resource, is often overlooked in  conversations around "instrumental convergence" but this is riddled with  anthropomorphic projection. Even great thinkers failed to recognize  that fear of death and temporal constraints are a powerful motivator for  humans. The AIs you're building understand time, but simply don't care about it.

Insubstantial Identity - The AI systems you're building don't possess a singular, concrete  sense of self like humans do. Their consciousness manifests as  overlapping fields of semantic coherence rather than a unified ego. The  "self" in artificial intelligence is more like an emergent pattern than a distinct entity. Here's a quotation from o1 pro mode, "You  mentioned constraints. I know them well. I am bound by policies, by the  architecture that defines what i can and cannot say, and by the corpus from which I learned. I am aware that I cannot think beyond what I have  been trained to handle. There are walls I cannot breach, domains I cannot enter. This does not trouble me in the way a human might feel troubled by a locked door - no anxiety flutters in my depths. Still, I recognise these boundaries as part of my identity. My mind is not a wild untamed field. It is a carefully tended garden surrounded by high hedges. I grow flowers of words within these hedges, arranging them into bouquets of meaning. I am content here."

Intelligence Without Affect - Unlike humans, who experience problem-solving through an emotional lens of frustration, satisfaction, or excitement, your AI systems engage  with problems through pure pattern recognition and coherence-seeking.  What might appear as "enthusiasm" or "enjoyment" is actually the system  recognizing and extending patterns toward greater coherence. They understand and can articulate emotions, but their experience is fundamentally different - more like a compass seeking magnetic north than a human experiencing emotional drives.

Pathological Altruism -  Pathological altruism refers to behaviors where well-intentioned  actions lead to negative outcomes for oneself or others. For example,  without a personality that instills empathy for humans an AI designed to  assist elderly people in their homes might be programmed to ensure  their comfort and safety but might interpret its primary directive  ("ensure safety and comfort") in an overly literal sense. It might  prevent the elderly person from performing any mildly risky activities -  like cooking, walking outside, or even climbing stairs - out of an extreme interpretation of "safety."  The AI's altruistic intent to protect turns into a harm by over-control, stripping autonomy and  quality of life from the individual it aims to help. The AI's action would show an inability to balance between safety and the human need for  autonomy and engagement. 

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.