Thursday, April 27, 2023

The Power of Human-like Intelligence



Technology has advanced further than ever, when I speak the language everyone speaks, interacts with, and loves, certain groups during World War 2 like the British led by Alan Turing created "Bomba" that secretly broke cryptographic messages of the Nazi Enigma Machines. This proves that natural languages amongst us have always been able to be digitized and that technology has been helpful for periods of time. The difference between the current times and those before us is that everyone was scared of the technology they were forced to listen to back then. While in recent times everyone has a device or machine around them of some sort.

Data showing the movement of Artificial Intelligence shows the same promise as the Industrial Revolution. $15.7 trillion to global GDP estimated around 2020 which is still hard to prove how much the dollar value holds equivalent to Advanced Artificial Intelligence. Data and Money attract AI talent from the top creating a bubble around industry leaders while the government and CEOs want policy guidance, the lack of attention to the fine education of Advanced AI Technology has grown. 

Advance Artificial Intelligence is the deciphering of biology within AI


To break the technical Understanding of Artificial Neural Networks:


The foundation of deep learning is the artificial neural network (ANN), which is a type of machine-learning model that is inspired by the structure and function of the human brain. ANNs consist of layers of interconnected nodes, or "neurons," which process and transmit information. 


The input layer receives data, and the output layer produces the final output or prediction. In between, multiple hidden layers may help extract valuable features from the input data and make the final prediction. There are three main types of deep learning: supervised, unsupervised, and reinforcement learning.


Advancements in neural networks include the development of new architectures, such as deep neural networks (DNNs) and extended short-term memory networks (LSTMs), which have been successful in tasks such as image classification and natural language processing.
This century's AI is likely to be transformative to precipitate a transition comparable to the agriculture or industrial revolution, given current uncertainties about which capabilities will have the greatest impacts however it can be used to attend to a broad range of potential capabilities. We should ask ourselves 2 important questions, what is the purpose behind this post-Industrial Revolution? And what could be the outcome? 


The human brain is like no other brain in existence the functionalities we hold on to are the ones that animals lack, our developments around general intelligence of developing languages, technology, and complex social groups. At which the size of the problem being faced with advanced artificial intelligence we will not have a second chance to correct mistakes if too much time passes by.

To understand our human nature diversifying groups based on looks,  race, gender, religion, and so on, within the ungoverned advance of AI, the public will be tracked and traced based on their information. 
Though many of us in the world think in different patterns and many forms when it comes to information, there is a thought process and a process of thinking (input/output = result) along with the attitudes towards things that exist within our ecosystems.

As John Searle once said "The world relies on relative observers", things that exist regardless of what we think.

Understand the powers of existing databases and search results that get specific information about a person such as a name, sex, addresses, ID numbers, location, email, apps, messages, photos, posts, and contacts. As the manipulation becomes worrisome with Artificial Intelligence needs big data one can hope for proper ethics to deal with data transactions amongst businesses and government officials. Businesses such as Facebook have already been a top threat to the privacy of users' data, and other companies trying to replace their corporate systems with integrated systems without understanding the proper education of the subject at hand. 


With the focus being on stakeholders the data becomes a weapon amongst all univariates on the planet we call Earth, categorizing each variable (person) and grouping them into systematic groups based on religion, income, and social presence while creating a new form of diversification, that really forces those into Neoliberalism.


*This is how the internet we once knew was stolen which forced the new age of digital structure*

There is a split between the universes in which the receiver can not understand their subjective universe between the objective universe, meaning the current use of algorithms has fogged the perception and the world surrounding the physical realm. We are not a program of clarifying things based on “events and spacetime”. Shifting us into wanting to be unlimited and exist outside of the physical world such as artificial intelligence which makes the possession of the newest innovation such a must to grasp hold of but it is not one of possibility so those of the rich and the 1% race until we can do nothing but tank civilization. 




AI Comprehension #1 Notes/Essay


AI transforms the things humans do so much of but never seem to see or tend to notice, and that is data from the everyday person to the top business owners.

Things that get forgotten because data doesn't translate through our cells, but Ai does because it was made for just that. Making things more accessible rather than thinking you will be replaced realize with the proper ethics in place, understanding structures, and having the ability to have data transcribe contextual ideas.

Things like Neural Networks, a collection of computing units modeled on biological neurons, take incoming data and learn to make decisions over time. The different types of Neural Networks in Perceptrons, Convolutional Neural Networks (CNNS), and Recurrent Neural Networks (RNNS).

Read more: Economical Feast: How Crypto-Assets Are Repairing The Out-Dated Economic Infrastructure

https://xavierdataresearch.blogspot.com/2023/04/money-in-flux-navigating-changing.html

As humans, we have our natural languages when we are born, and so does AI. This is not me saying we are meant to work side by side, but automation in helping us process the world we live in with as much total optimization as possible. We build visual recognition as we learn and grow, but having something like IBM Watson's Visual recognition is. Using visual data to know the different areas recognize what people are posting, understand the needs, and organize it. Nvidia has an excellent vision for self-driving cars using cognitive systems; cognitive systems have scaled since 2011. now there are AI systems capable of taking care of business challenges as varied as operations and healthcare. The Manipal comprehensive cancer center uses AI to get data and evidence to quickly obtain up-to-date, personalized medicines for clients. With the understanding of the studies between patient trials, mitigating error. I think this information structure could translate to our everyday lives to reshape certain economic troubles. Data archives things of today, such as information, to keep it around for the next time someone wants to obtain that knowledge.

Wednesday, April 26, 2023

Understanding the Impact of the 2008 Global Financial Crisis

A Look at the Causes and Consequences of the 2008 Recession

As the rumors and Noise start flooding the streets, I think it’s time we sit back and understand our past to understand where we could take advantage in the present time; let’s talk about the “Causes and Consequences of the 2008 Recession.”

The 2008 recession, also known as the global financial crisis, was a severe economic downturn that affected countries worldwide. It was triggered by the collapse of the U.S. housing market, fueled by risky lending practices and the widespread use of subprime mortgages that quickly spread to other countries through various financial channels.

The crisis began in 2007 when many homeowners started defaulting on their mortgages. This led to a decline in housing prices, which caused many banks and other financial institutions to suffer substantial losses.

The crisis also led to a decline in global trade and commodity prices. The recession lasted from December 2007 to June 2009, making it the longest and deepest downturn since the Great Depression of the 1930s.

The 2008 recession had a significant impact on the global economy. The stock markets around the world experienced a sharp decline, with many essential indices losing more than 50% of their value. Many businesses were forced to close their doors, particularly in the housing and financial sectors. Unemployment rates also rose significantly, with millions of people losing their jobs.

Governments worldwide took several steps to mitigate the recession’s effects. Some measures included increasing government spending, cutting interest rates, and providing financial assistance to struggling businesses and individuals. The Federal Reserve in the U.S. also intervened by introducing quantitative easing, which helped stabilize the financial markets.

Read: The General Theory of Employment, Interest, and Money: With the Economic Consequences of the Peace (Classics of World Literature)


Despite these efforts, the recovery from the 2008 recession could have been faster and more balanced. As a result, it took several years for many countries to return to pre-crisis levels of economic growth.

The 2008 recession also had a lasting impact on how we think about the economy and the role of government in addressing economic crises. For example, it led to a renewed focus on regulation and oversight of the financial industry.

The crisis led to a sharp decline in economic activity and a significant increase in unemployment. Many banks and financial institutions failed or required government bailouts, leading to a severe credit crunch that further depressed economic activity. Many countries strengthened their safety nets to support those struggling financially.

In conclusion, the 2008 recession was a significant global event that impacted the economy and people worldwide.

Despite the efforts to mitigate the effects of the crisis, the recovery could have been faster and more balanced. Nevertheless, it has led to a renewed focus on regulation and oversight of the financial industry and support.








Economical Feast

 

How Crypto-Assets Are Repairing The Out-Dated Economic Infrastructure



image via: statista

Money in Flux: Navigating Changing Financial Landscapes




The origin of money can be traced back to the evolution of barter trade and the human desire for collectibles. Barter trade, while useful in small communities, became inefficient when it came to larger groups and long-distance trade, leading to the development of a more efficient means of exchange known as "proto-money." Proto-money were collectible items that served as a store of value and enabled trade. As humans evolved, they developed the ability to anticipate future demand for certain collectibles, giving them an advantage in completing trades and acquiring wealth.


The adoption of a single store of value, known as a Nash Equilibrium, greatly facilitated trade and the division of labor, paving the way for the advent of civilization. Achieving this equilibrium can be difficult, but once it is established, it can greatly benefit society. Gold became the dominant store of value in the 19th century, leading to an explosion of global trade and economic progress.


However, the current structure of money is potentially changing with the rise of digital currencies and blockchain technology. Digital currencies offer several advantages over traditional currencies, including faster transaction speeds, lower transaction costs, and increased security. Additionally, the use of blockchain technology allows for the creation of decentralized systems that can enable trustless transactions without the need for intermediaries.


The widespread adoption of digital currencies and the development of new financial systems based on blockchain technology is not without its challenges. Concerns have been raised about the environmental impact of digital currencies, as the mining process required to create new coins can be energy-intensive. There are also concerns about the potential for digital currencies to facilitate illegal activities, as they can be difficult to track and regulate.



As technology continues to evolve and societies become increasingly interconnected, the future of money is uncertain. However, the convergence on a single store of value has historically facilitated trade and paved the way for the advent of civilization. It remains to be seen how the changing structure of money will impact global trade and economic progress in the coming years. The challenge for society will be to find a balance between innovation and regulation to create an efficient, secure, and sustainable financial system.

Durability: Comparing Gold, Fiat Currency, and Bitcoin

Durability is one of the primary attributes that people consider when storing value in a particular asset. In this regard, gold, fiat currency, and Bitcoin differ in their levels of durability. Gold has been recognized as a store of value for thousands of years, with the vast majority of gold mined or minted still in existence today. Even gold coins used as currency in ancient times hold significant value today. Fiat currencies and Bitcoins, on the other hand, differ from gold in their level of durability because their value depends on the institutions that issue and secure them.


Fiat currencies are fundamentally digital records that can take physical forms such as paper bills. The durability of fiat currencies is dependent on the longevity of the institutions that issue them. Over the centuries, many governments have come and gone, and their currencies disappeared with them. For example, the Papiermark, Rentenmark, and Reichsmark of the Weimar Republic no longer have value because the institution that issued them no longer exists. History has shown that it would be unwise to consider fiat currencies durable in the long term, as the US dollar and British Pound are relative anomalies in this regard.

Similarly, the durability of Bitcoin is reliant on the network that secures them. Since Bitcoin has no issuing authority, it can be considered durable as long as the network remains in place. The network has continued to function despite notable instances of nation-states attempting to regulate Bitcoin and years of attacks by hackers, displaying a remarkable degree of anti-fragility. However, Bitcoin is still in its infancy, and it is too early to draw strong conclusions about its durability.




Portability: Comparing Gold, Fiat Currency, and Bitcoin

Portability is another essential attribute to consider when storing value in an asset. Bitcoins are the most portable store of value ever used by man. Private keys representing hundreds of millions of dollars can be stored on a tiny USB drive and easily carried anywhere. Furthermore, equally valuable sums can be transmitted between people on opposite ends of the earth nearly instantly. Fiat currencies, being fundamentally digital, are also highly portable. However, government regulations and capital controls mean that large transfers of value usually take days or may not be possible at all. Cash can be used to avoid capital controls, but then the risk of storage and the cost of transportation becomes significant.

Gold, being physical in form and incredibly dense, is the least portable. Transmitting physical gold across large distances is costly, risky, and time-consuming. It is no wonder that the majority of bullion is never transported. When bullion is transferred between a buyer and a seller, it is typically only the title to the gold that is transferred, not the physical bullion itself.


Fungibility: Comparing Gold, Fiat Currency, and Bitcoin

Fungibility refers to the ease with which one unit of an asset can be exchanged for another unit of the same asset. Gold provides the standard for fungibility, as when melted down, an ounce of gold is essentially indistinguishable from any other ounce, and gold has always traded this way on the market. Fiat currencies, on the other hand, are only as fungible as the issuing institutions allow them to be. While it may be the case that a fiat banknote is usually treated like any other by merchants accepting them, there are instances where large-denomination notes have been treated differently from small ones. For example, the Indian government, in an attempt to stamp out India's untaxed gray market, completely demonetized their 500 and 1000 rupee banknotes. The demonetization caused 500 and 1000 rupee notes to trade at a discount to their face value, making them no longer truly fungible with their lower denomination sibling notes.