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What is required to achieve AGI?

The non-trivial tasks to solve to achieve AGI

As we discussed previously in our blog post series about AGI, we might not be able to understand exactly the moment when AGI is achieved, because we might not be able to recognize AGI due to it’s possibly way different nature. We also discovered that we need to do things differently as AGI will not just spawn from a pre-trained model even if it is the biggest model in the world (not taking into account that training data is running out, too). We need to understand that AGI only can be achieved by mutiple, non-trivial, interconnected modules orchestrated in a way that allows Functionalism, Self Reflection and Attention.

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AGI = Consciousness ?

Is achieving consciousness proof of AGI?

Before we discuss, let’s first define consciousness: Consciousness, a complex and multifaceted concept that has been explored by philosophers, scientists, and researchers for centuries. It generally refers to the state of being aware of and able to think about oneself, one’s surroundings, and one’s experiences. Consciousness encompasses a wide range of phenomena, including subjective experiences, self-awareness, perception, thoughts, feelings, and the ability to focus attention.

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Understanding AGI

Understanding AGI

In the very first post of this series, we tried to define AGI and we carefully used the word “hypothetical” in connection with “intelligence”.

Intelligence is defined as a concept that refers to the ability to learn, understand, and apply knowledge and skills. It encompasses various cognitive processes such as reasoning, problem-solving, memory, perception, and learning. Intelligence can be broadly categorized into different types.

  1. Cognitive Intelligence : This involves logical reasoning, problem-solving, and the ability to process information efficiently. It is often measured by IQ tests.
  2. Emotional Intelligence : This refers to the ability to recognize, understand, and manage one’s own emotions, as well as respond appropriately to the emotions of others. It includes skills like empathy, self-awareness, and social skills.
  3. Practical Intelligence : This is the ability to apply knowledge and skills in real-world situations. It involves adaptability, common sense, and the ability to navigate everyday challenges.
  4. Creative Intelligence : This involves the ability to think innovatively, generate new ideas, and find unique solutions to problems. It is often associated with artistic and inventive abilities.
  5. Social Intelligence : This refers to the ability to understand and navigate social situations effectively. It includes skills like communication, cooperation, and understanding social norms.

Intelligence is not a single, fixed trait but a combination of various abilities that can be developed and improved over time. Different theories and models of intelligence have been proposed, each highlighting different aspects of what it means to be intelligent.

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Road to AGI

The long road to AGI

Recently everbody is talking about Artificial General Intelligence or AGI.

With this blog post, we will start a series of post to discuss what AGI is, what it is not, how we might be able to achieve it and what NOMYO LLC contributes to this goal. We will try to avoid jargon as much as possible as we believe there should be fundamental understanding in society about this topic and implications for all of us. There are many believes, misconceptions and hopes in generation of AGI, which we hope to address - at least a few - in this series, but first let’s start with a quick definition of what AGI is, what it requires to achieve AGI and what challenges come with it once we achieve it.

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Human-AI-Teams in SME

Revolutionizing Teamwork and Productivity

How AI Agents Transform Productivity in Small and Medium Businesses

SMEs live in a fast changing environment, leveraging technology to enhance productivity is crucial for both survival and growth. A new study by MIT researchers Harang Ju and Sinan Aral titled “Collaborating with AI Agents: Field Experiments on Teamwork, Productivity, and Performance” offers valuable insights into how AI can transform teamwork dynamics, particularly in small and medium enterprises (SMEs). We will explore the implications of these findings on productivity, financial outcomes, and growth opportunities for SMEs.

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Scalable RAG backend

Load-Balanced RAG Using Qdrant

Introduction to Qdrant Vector Store

Qdrant is a high-performance vector database designed specifically for AI applications, offering advanced features such as similarity search and vector management. Its unique selling points (USPs) compared to other choices include:

  • Scalability: Supports horizontal scaling through sharding and replication.
  • Efficiency: Built in Rust, Qdrant ensures fast performance even under high load conditions.
  • Flexibility: Integrates with various frameworks and allows for distributed deployment.
  • Advanced Search Capabilities: Offers hybrid search combining dense and sparse vectors for nuanced similarity searches.

These features make it an ideal choice for building robust backends for Retrieval Augmented Generation (RAG) systems - like ours ;)

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Special products and tactics

Nomyo’s (((SNR))) detects Brand Perception

In today’s fast-evolving digital landscape understanding how machines perceive your brand is not just important — it’s critical for staying competitive. With the rise of multimodal AIs that analyze ad copy and drive consumer traffic, NOMYO’s new AI service (((SNR))) emerges as a game-changer in enhancing business strategies by optimizing your brand’s digital footprint.

Key Features of SNR

AI-Powered Perception Analysis: SNR goes beyond surface-level insights. It delves deep into how various AI models perceive your brand and products across multiple platforms, offering a comprehensive analysis that highlights both strengths and areas for improvement. This granular understanding empowers brands to make data-driven adjustments.

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From Attention to Intention

Attention economy

In today’s digital landscape, we’re witnessing a significant shift from what is known as the attention economy towards something even more profound: the intention economy. This transformation raises numerous questions about its implications for both businesses and individuals.

The concept of the attention economy revolves around the idea that human attention is a scarce commodity, traded for access to digital platforms. For decades, companies like Instagram and Facebook have thrived by capturing users’ fleeting moments of focus. However, as technology advances, a new horizon emerges — one where understanding not just where our attention lies but what drives it (our intentions) — is becoming increasingly valuable.

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Brands adopt UBX

Unified Brand eXperience by NOMYO AI

In today’s fast-paced digital world, brands strive to create meaningful connections with their audiences across multiple platforms. To fight this disconnect NOMYO AI presents the concept of a Unified Brand eXperience (UBX) as a crucial strategy in achieving this goal. UBX is all about presenting a brand’s visual identity, image, message, name, and overall experience in a harmonious manner that resonates across every media channel. This comprehensive approach ensures that the brand maintains its authenticity while growing awareness among its target audience.

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SME vs Platform Competition

An Agency that serves you 24/7? An introduction to NOMYO AI

In today’s fast-paced business environment, small and medium-sized enterprises (SMEs) face unique challenges that require innovative solutions. One such solution is partnering with a tech-driven, fully automated agency. These agencies are transforming the way businesses operate by leveraging data to drive decision-making, offering true 24/7 operations, and providing seamless access through unified interfaces.

At the heart of tech-driven agencies lies their ability to harness the power of data. By utilizing facts from comprehensive data analyses, reports, statistics and case studies in an automated fashion. These agencies can offer SMEs insights that are both precise and actionable. This means that rather than relying on intuition or outdated methods, businesses can make informed decisions based on real-time data. Whether it’s identifying market trends, understanding customer behavior or optimizing operational efficiency. The real-time use of real-time data allows for strategies that are tailored to each business’s specific needs.

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