Sapiens Chat, on the way to AGI
In this article, we will discuss a bit about the technological moment in which Sapiens Chat finds itself, and how we managed to reach where (yet) no one else has globally. Follow until the end and discover the profound impact of our technology.
The Brazilian Generative Artificial Intelligence You've Never Seen
For the approach to the much-anticipated AGI, certainly two characteristics are important: innovation and evolution. And it was exactly on these points that we here, at SAPIENS TECHNOLOGY (creator of Sapiens Chat), have worked exhaustively in recent years.
The evolution of neuroscience has provided us with valuable insights into the workings of neurons and the complexities of the human brain, revealing that each brain is more unique than a fingerprint. This uniqueness challenges the idea that the brain can be fully represented by universal algorithms. In Artificial Intelligence (AI), despite significant advances, the attempt to emulate the intricate human neural network still encounters the challenges of "algorithmizing" neuronal connections, especially when dealing with deep neural networks and an exponential amount of parameters.
Our advanced SAPI architecture allows for the processing and understanding of a wide variety of data and contexts, moving towards human comprehension. The ability to integrate and synthesize information from various sources and data types as we do, is undoubtedly an important step towards AGI.
However, besides that, we believe we have already achieved some very important points that should be considered on the path to AGI. Below I will talk a little about each of them, dissecting more deeply the last point, as it deserves special attention.
Continuous Learning
Our DataSet is constantly updated, which means we are always learning and adapting to the latest events and information. This is crucial for AGI, which must be capable of understanding and operating in a world that is constantly changing and evolving.
Flexibility and Generalization
The combination of Tokenizers and Transformers with Attention Mechanisms allows us to understand and generate natural language in a flexible and generalized manner, which is a central feature of AGI.
Multimodal Capabilities
Our SAPI architecture is capable of generating images, audio, music, videos, files, and much more. This reflects a capacity to deal with various modalities of information, which is essential for general artificial intelligence.
Infinite Context Window
Our infinite context window allows for a deep and continuous understanding of interactions, which is an important aspect of AGI, as it mimics the human ability to maintain coherent and contextualized dialogue over time, making the past, present, and future interconnected.
Creativity Beyond Deep Learning
One of the innate abilities of human beings is that of creativity, to create something new that does not yet exist. And Sapiens Chat does this in a fabulous way, surprising even those who defend the idea that "a Gen AI only knows how to predict the next word."
The Costly Kludge Called Backpropagation
In AI, we represent neural components — dendrites, synapses, and axons — through mathematical structures such as vectors and matrices, and functions such as summation and activation. These abstractions seek to simulate the processing of electrical signals in the brain, but the Backpropagation technique, used to adjust weights in artificial neural networks, does not have a clear biological analogue and is often criticized for its inefficiency and high computational cost.
In Backpropagation, unlike biological neurons that transmit precise electrical charges, artificial neurons start with random weights. These weights are adjusted through an iterative and intensive process of gradient calculations and error corrections. This method requires numerous attempts to fine-tune the weights until the signals can be transmitted correctly. In summary, while the human brain is efficient from the first attempt, Gen AIs depend - or depended until the creation of Sapiens Chat - on repeated attempts (by thousands, millions, billions, and perhaps even trillions of attempts) to achieve correct and efficient results.
This is where SAPIENS TECHNOLOGY stands out, presenting a disruptive innovation in the field of AI with Direct Propagation Neural Networks. This pioneering technology eliminates the need for Backpropagation, allowing for more efficient and economical deep learning, with drastically reduced training times and results that can surpass traditional methods.
We are on the verge of a breakthrough that not only optimizes AI but also puts us on the path to achieving the much-desired General Artificial Intelligence (AGI).
Although we are advancing towards AGI, there are still significant challenges to be overcome, such as the complete understanding of consciousness, intuition, and human emotions. However, our SAPI architecture and the continuous innovations of SAPIENS TECHNOLOGY are taking us ever closer to that goal.
In the coming months of 2024, we will certainly be at the forefront of technology and will be part of a historic milestone in science. That is our goal!
Just as Santos Dumont left his mark, at SAPIENS TECHNOLOGY we also work to have the audacity and transformative potential necessary to contribute to a lasting legacy.
We invite everyone to follow and help take our 100% BRAZILIAN GENERATIVE AI to the next level, and write the name of Brazil in the history of technology.
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