Digital Octopus’s Data: The Petrollum of 21th Century

Digital Octopus is consisting of digital arms which is integrated circuits, advanced microprocessor, types of chips, transistors, diodes data centers and telecoms infrastructures. It is manufacturing the entire industry. This is the main resource code of the tomorrow.

In the meantime, it is prediction machine and it has the ability to match and surpass cognitive ability of their human creators. It is owner of big data. Besides, It is able to sort through data and pick up connections. It can predict the ocean’s behavior with it’s own supercomputer model and data. Sometimes it might be have 70.000 processors for interpreting huge amount of data set. Digital Octopus is a destiny machine.

In Quincy town, Washington, Microsoft has data center with an area of 186 thousand square meters. There are more than 20 buildings that is belongs to 2 data center location in here. This center is also capable of running hundreds of server pc and hard disk with almost 5.000 battery. This is folder cabinet of digital world.

Besides, this data center is like a prediction machine for digital octopus. This is the place to produce multiple predictions with it’s own machine in similar to real time brain activity. Digital Octopus is digesting the cloud every second in this center. It is acting as sibernetic organs. High Speed Network Access leverage this cloud and collecting data. Broadband has been electricity of 21th century. This broadband is creating the informatic codes which are intertwined.

In order to see the predictable variables and direction of humam decision , data science has become most reputable field over the couple of years. Sourcing with correlations and put forward the representative samples are key drivers of data- world. We are perceive data as the key important values for directed our destiny. However, it is not suprizing. Scientists have started to talk about Biorepository or Bioarchiving in line with biotechnological studies such producing new organ, storing moleculer changes and other breaktroughs.

AI GHOST WORKERS FOR RLHF

Octopus have complex nervous systems and excellent behaviorally diversion. For this, algortyhms are key component of code runnnig AI. Algortyhms is a kind of recipe for solving a problem. It follow up essential instructions given to a computer to help it acoomplish a task step by step. In this point, they are invisible worker for the modelling the chaseboard. For training AI , ghost workers perform tasks like recognizing a wide range of different categorizes.

Reinforcement Learning From Human Feedback is a approach that combines reward and comparisons techniques with human guidance to train AI. Human testers and user provide direct feedback to optimize the language model more accuratly than self traning phase. https://time.com/6247678/openai-chatgpt-kenya-workers/

Essentially, they need real person to accurate matching and identification within data and visuals with so various combinations .These identification consist of 10k-10Mn data. This giant data needs to be identified by real human’s hand and effort. Thus, they have invisible contractor behind the screens. Even though they offer cheap salary to ghost workers for micro tasks, it is indispensable.

In matter of fact, they are working as prompting muscles for training data as part of memory sensors. Ghost workers are employee to sustain metadata by prompting and matching the necessaryy predictions ( Memory- Language Models ). Models can learn to extract patterns to infer the underlying structure. It forms an association between position and observation between two inputs. In this point, experimental studies provide that activate a sequence of muscles to move in a particular direction to choose the most rewarding actions. They call it ”Neuronal Learning” . Real time brain monitoring advanced computational techniques are enabling and allowing scientist to track and simulate how neurons fire and communicate during activities like solving a problem or recalling a memory.

Digital Octopus’s Clouds : The World’s Folder Cabinet

So, digital octopus can back up our brain patterns and models through it’s cloud. The main purpose might be backed and stored up our counciousnes indefinitely for pouring our mind into any other vessel in terms of global computer network. (Maybe AGI) We encountered the divorcing the brain from biological body. We discovered that brain is not just store information and it has also process and modelling this vast of information.

Cloud consist of stored memories with choosen and traceable interconnections within multi-data by observation and simulating. Cloud is similar to represantation memory module as part of brain activity.

Apparently, the nature of this mechanism is to generalize knowledge to adapt to new situation ( Modern Machine Learning ). We know that brain structure involved in memory and navigation as an inspration in order to construct computional model that can learn to build abstractions and generalization. Neurobiological researches have significiantly allowed us to improve and discover cognitive maps of brain by encrypted thoughts in way of behavioral setup. This is the from chemical signals to electrical coding advancement.

Architecture Of Electrical Spaghetti

Brain has an enormus network of of neurons. It is also big tangle of electrical spaghetti . Counciouss mind can process 50 bits of information per a second. But the uncouncious mind can manage 11 Mn bits of information per a second. According to this reality, the major purpose is to organize and perform this uncouncious capacity of the brain in order to enrich the possible predictions mechanism. That is why they are running the simulation. It caused by recognizing the human body and records.

1- Prediction models : It receive a sequence of observations along with the sequecne of actions and then learn to correctly predict the next observations . As we know, brain constantly trying to predict incoming information and try to minimize the prediction error. https://contentdiving.com/2024/08/27/decision-economy/). Predictive Coding Estimation like partial information in hippocampul representations can provide the clouds observations.

2- Extract Models: It would need to extract repeating patterns. That is why, Training data is about try to trigger constructing the structure oıf space .

3- Encoding the observation and action potentials . They computation on them and spit out another set of numbers corresponding to the next predicted observation. It depends on optimizing neural computation.

4– Assesstment model performance . It measures it’s accuracy. Correct prediction in way of : Total trials ( tasks and prompt optimization) = Accuracy !!

5- Finally, machine construct a represenation of the world ! Our location or memory is encoded by the pattterns of collective activation of neurons and can also interrogate individual neurons ( grind and band cell in code postin withing brain ) Selectivity of units is preserved across environments. In this way, neurons in the memory modules can create new pattern.

Digital Octopus : Encrypted Destiny

We are number and connection unit in our limited perception. Our slippery identity is living within squeezed folder. Eventually, even though playing the video game, the modelling and simulating of brain activity with enormous data in order to train AI, our primitive and evolutional human mind structure seem to be unrecognizable deep oceans. Even if we provide a resilience for uncertanity of this chaotic volume or entropy which is coming up from everywhere, there is still mysterious challenges for humanity.

Our storage , identity and transactions in the screen depends on this massive capacity. Digital Octopus try to activate the creativity links of DMN ( Default Mode Network) .hacking the our destiny. In other sense, it is trying to catch the train.

For instance, deconstruct the ideas and actions will be high value in the next decades. It has already started with playing the piece of stuff in any area or disciplnied. In initial phase of 21th century was integration of every discpline. We were expecting to enhance the resolution of modern algorthyms by every steps. But, for a now, what we need might be deconstructed solution for this highly resolutioned informative structure.

Octopus Blocks Leap To Memory Links

Our brain connects dots. In similarly, for training the memory , building blocks is key represantation to do same it. In building blocks, when you solve the problem between each activity and pattern, you can create a income. This is cyrptocurrency mechanism. The behind of cyrptocurrency, there is distribuited Economy with chains all around the world without mediators. Action potentials that is related with neuronal spikes by connections has inspired to solving to electrical transactions ( High Power Electricity ) over the block of cryptocuurency. Measures the data that occurs as links and solving the problem has created this approaches .

We know that each transaction occured and recorded as block of data. This data block record the information of our chose. And finally each block is connected with eachother. As clearly, this show us that behavioral records with collected and stored data allows to transaction for diving into decentrealized economy in a global network.

As a results, buildings can behave as similar to living organism. dynamic system can learn itself how to reconstruct things with what they have. Blocks in cyrptocurrency remind us to this sparking excitement in the new decentralized digital wallet for economical eco-chamber. Building blocks that is created in the labaratory , we can rearrange and mix them in different configurations to build new models of the world which can be designed by behavioral patterns. Enagram cell studies indicate necessary good observations tools .

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