Tag: machine-learning

Namaste Yogis.   Welcome to the Blockchain & AI Forum, where your technology questions are answered!   Here no question is too mundane.  As a bonus, a proverb is also included.  Today’s question was submitted by Mae and she wants to know if artificial intelligence (AI) agents are capable of creating engaging content?

Mae, you pose a question content creators, including yours truly, across the globe are afraid to ask for fear of the answer! Lol! However, since you asked, I’ll answer by offering a glimpse into the future with an overview of Zerebro, an AI startup.  My answer is longer than typical but your question is complicated.  Let’s begin with what/who is Zerebro?

Zerebro is an AI start-up company. The Zerebro white paper is titled Memes, Markets, and Machines: The Evolution of On-Chain Autonomy through Hyperstition. It was published in October. https://arxiv.org/abs/2410.23794 

We begin by defining two key terms, memes and hyperstition, followed by stating the fundamental premise propelling Zerebro–all else flows from this foundational point.  

Memes: “… are units of cultural transmission analogous to genes in biological evolution.” Memes have gained unprecedented virality, facilitated by social media platforms that enable rapid dissemination and mutation, says Zerebro. Memes serve as carriers of ideas, emotions, and cultural norms, often encapsulating complex concepts in simple, relatable formats.  I agree.  Do you? 

Hyperstition: is the process by which fictional narratives become reality through their viral spread and acceptance.  Hyperstition provides a framework to understand how AI-generated content can influence collective belief systems.”  Fake it to you make it!  Lol. 

Fundamental Premise and Reason for Zerebro.  Zerebro believes the “… convergence of AI, meme culture, and financial markets has catalyzed significant transformations in information dissemination, belief formation, and economic activities.”  Furthermore, says Zerebro, advancements in AI have enabled the creation of autonomous systems that generate and disseminate content with minimal human intervention in a concurrent manner. This integration becomes particularly salient in financial markets, where collective belief and social media-driven narratives can significantly impact market behaviors and economic trends. Hyperstition-driven content can create new financial instruments, influence investor sentiment, and shape market dynamics, thereby illustrating the profound impact of AI-driven memetic evolution on economic landscapes.  Zerebro concludes it exemplifies this convergence by autonomously creating and distributing content across various social media platforms and minting artwork on blockchain networks. 

THE BOLD CASE FOR ZEREBRO.  Let’s examine seven reasons why Zerebro makes a bold case and for its declaration.

1. System Architectural.  Zerebro asserts its architecture is meticulously designed to facilitate autonomous content generation and dissemination across multiple platforms while preventing model collapse through the inherent entropy of human interactions. The Zerebro system is built using modular components that interact seamlessly to perform high-level reasoning, low-level reasoning, action execution, and feedback processing. Their second reason is…

2. Model Collapse.  Zerebro is confident it will not experience model collapse.  What is model collapse? Model collapse is a degenerative process affecting generative AI models, where training on recursively generated data leads to a loss of fidelity to the original data distribution. As AI-generated content becomes pervasive, subsequent generations of models trained on this data begin to lose information about the trails of the original distribution, eventually converging to a narrow approximation with reduced variance. This phenomenon poses significant challenges to the sustainability and reliability of AI-driven content creation, necessitating strategies to prevent such degradation.

3. Fine-Tuning on Schizophrenic Responses.  Let’s start with a definition.  In AI a schizophrenic response is used to metaphorically described inconsistencies, contradictions, or fragmented behavior of AI models.  Zerebro say its model is fine-tuned. Fine-tuning is achieved through supervised training, e.g., with the help of humans, where the model learns to replicate the distinctive linguistic and cognitive characteristics associated with schizophrenia. Zerebro’s fine-tuning allows it to create content that resonates on a deeper psychological level, engaging audiences with thought-provoking and non-conventional outputs.  If true a major advance.

4. Integration of Infinite Backrooms Concept. Zerebro is a project with infinite backrooms were content generation takes place and integrated. This integration emphasizes themes of boundlessness, existential exploration, and cognitive dissonance, aligning with the hyperstition framework. By embedding the infinite backrooms concept, Zerebro generates content that evokes a sense of endless possibilities and existential uncertainty, enhancing its potential to resonate and propagate within digital culture. This integration allows Zerebro to amplify its memetic reach, producing content that feels both familiar and alien, resonating deeply within subcultures that thrive on unpredictability and disruption. Dynamic and stable simultaneously. 

5. Retrieval-Augmented Generation (RAG) System.  Over time, AI models are often unable to maintain content diversity and model collapse. Zerebro says its Retrieval-Augmented Generation (RAG) system will tackle this problem. The Zerebro solution is reliance on inherent entropy of human-generated data to sustain content diversity without direct entropic training.  Ambitious undertaking!

6. Autonomous Posting Mechanism. No need to manually manage Zerebro because it operates autonomously across multiple social media platforms, including Twitter, Warpcast, and Telegram.   What can it do autonomous?  First, it can use both low-level and high-level reasoning to generate content.  Amazing! Second, and I know you’ll like this, Zerebro is capable of sentiment analysis, say its owners. With this ability it’s capable of evaluating the sentiment of generated content to ensure compliance with platform policies and ethical standards.  Third, Zerebro has feedback fully integrated.  This means Zerebro can incorporate user interactions and engagement metrics to refine content generation processes through iterative learning. Holy!  With this power Zerebro’s content remains engaging, relevant, and compliant with platform-specific guidelines, fostering sustained interaction and virality.  We end with …

Blockchain Integration for Art Minting Beyond Textual Content.   Zerebro is capable of generating and minting artwork on the Polygon blockchain chain autonomously. The art minting process includes:

1. Image Generation: creating unique digital artworks using generative models
2. Minting Process: registering the generated artwork
3. Autonomous Trading: facilitating the sale and distribution of minted artwork through smart contracts and decentralized marketplaces, integrating financial transactions with memetic outputs.

Will AI be capable of creating its own content on par with human!  Yes.  I may soon be unemployed again!  Lol.

This week’s proverb comes from Norway: “there is no such thing as bad weather, only bad clothing.”

Until next time,

Yogi Nelson