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Artificial Intelligence

Consequences of AI – 2023

Elon Musk, the founder and CEO of Tesla and SpaceX, and renowned physicist Stephen Hawking have both expressed concern that AI may be extremely harmful.  Bill Gates, a co-founder of Microsoft, agrees that there is need for caution, but that with careful management, the positives can outweigh the negatives. The moment has come to identify the hazards that artificial intelligence poses because recent advancements have brought the possibility of super-intelligent machines much sooner than originally anticipated.

Leading individuals at Oxford and UC Berkeley, as well as many AI researchers, agree with Hawking and Musk that if advanced AI systems are used recklessly, they could irreversibly cut off human society from a bright future.

Since the early days of computing, this issue has been brought up. But in recent years, it has become increasingly clear what we can do with AI, what AI can do for (and to) us, and how much we still don’t know. This is mostly due to improvements in machine-learning techniques.

We use the term “AI” to describe a wide range of concepts, which has led to confusion, misrepresentation, and people talking over one another in discussions concerning AI. SO, here is the overall picture of how artificial intelligence may present a grave threat.

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2. Artificial Intelligence & Energy Sector-2022

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What is AI ?

Artificial Intelligence

The goal of artificial intelligence is to build computers with intelligent behaviour. It is a general catch-all phrase that is used to describe everything from Siri to IBM’s Watson to potent future technologies.

Some researchers distinguish between “narrow AI,” which refers to computer systems that are superior to humans in a single, clearly defined field, such as playing chess, creating images, or diagnosing cancer, and “general AI,” which refers to computer systems that can outperform human abilities across a wide range of domains.Although generic AI isn’t yet available, we are beginning to understand the difficulties it will provide.

Over the past few years, narrow AI has advanced remarkably. Translation, chess and go, crucial biological research concerns like predicting how proteins fold, and image generation are among areas where AI systems have significantly advanced. What appears in a Google search or on your Facebook Newsfeed is decided by AI systems. They write songs and essays that appear to have been written by humans at first glance. They take part in strategy games. They are being created to enhance missile detection and drone targeting.

But restricted AI is becoming less restricted. By methodically teaching computer systems particular concepts, we once advanced AI. Researchers developed methods for detecting edges in order to do computer vision, which enables a computer to recognise objects in images and videos. They included heuristics related to playing chess in the programming. They drew from linguistics to perform natural language processing (speech recognition, transcription, translation, etc.).

But in recent years, we’ve become more adept at building computers with general learning capabilities. We let the computer system figure out the specific details of a problem on its own rather than mathematically stating them. Previously, we approached computer vision as a completely distinct issue from natural language processing or platform game play, but today, we are able to address all three issues using the same methods.

Our current AI development has allowed for significant advancements but has also immediately brought up ethical concerns. When you use inputs from a criminal justice system that is biassed against black people and low-income people to train a computer system to predict which convicted felons will reoffend, its outputs are likely to be prejudiced as well. Making websites more addictive can increase revenue but hurt user experience. By releasing a programme that generates plausible phoney reviews or fake news, the spread of the truth may be hampered.

In other words, while the systems are excellent at attaining the objective they were taught to seek, the goal they learnt in their training environment isn’t the one we truly desired, which leads to our troubles. Additionally, we are creating complex systems that make it difficult for us to predict their behaviour.

The harm is currently small because to the limits of the existing systems. However, as AI systems advance, this tendency may come to affect individuals in much more harmful ways.

Can a machine ever have intelligence equal to that of a human ?

AI

Yes, but today’s AI systems aren’t nearly that sophisticated.

The saying “everything that’s easy is hard, and everything that’s hard is easy” is a well-known one when it comes to AI. completing intricate computations in a split second? Easy. determining whether an image is of a dog by simply looking at it? Hard (until quite recently) (until very recently).

Numerous human activities are currently beyond the capabilities of AI. For instance, it’s challenging to create an AI system that explores a foreign setting and can find its way, say, from a building’s entrance up some stairs to a certain person’s workstation. We are still learning the best ways to create an AI system that can read a book and retain the concept.

The deep learning paradigm has recently led to many of the most significant developments in AI. Deep learning algorithms can perform amazing things, including winning games that we once thought humans could never lose, taking beautiful and lifelike images, and solving difficult molecular biology problems.

Some experts believe these developments signal a need to consider the risks of more potent systems, but detractors persist. Pessimists in the field claim that programmes still need a sizable pool of structured data to learn from, that they need carefully selected parameters, or that they can only be used in settings that are intended to prevent issues that we don’t yet know how to handle.They cite self-driving cars, which, despite the billions spent on developing them, are still only fair under ideal circumstances.

Although recent advances in computer speed have slowed, it is still believed that the cost of processing power is decreasing by a factor of 10 every ten years. AI has historically had less access to computational power than the human brain. That is altering. According to most projections, the time will soon come when AI systems will be able to access the same computational power that humans do.

In other words, when winning in chess required wholly different strategies than winning at go, we didn’t have to worry about universal AI. However, the same methodology now generates bogus news or music based on the training data that is given into it. And as far as we can tell, when given more computing time, the programmes just keep growing better at what they do – we haven’t found a ceiling on how excellent they can get. When deep learning was initially developed, its methods to the majority of problems outperformed all others.

When did scientists start to worry about the risk posed by AI ?

Younger experts began raising similar concerns in the 21st century as computers fast become a revolutionary force in our environment.

Professor Nick Bostrom is the head of the Future of Humanity Institute and the Governance of Artificial Intelligence Program at the University of Oxford. In his studies of human risks, he considers both general issues like why humans appear to be alone in the cosmos and more specific issues like the potential dangers of the technological advancements that are being considered. He said that AI puts humans in risk.

In 2014, he published a book outlining the dangers AI poses and the importance of doing it right the first time. He came to the conclusion that once an antagonistic superintelligence existed, it would make it impossible for humans to replace it or alter its preferences. That would be the end of us.

Others have come to the same conclusion all across the world. Eliezer Yudkowsky, the founder and research fellow at the Berkeley Machine Intelligence Research Institute (MIRI), a group that aims to provide stronger formal characterizations of the AI safety problem, and Bostrom collaborated on a study on the ethics of artificial intelligence.

The majority of Yudkowsky’s career in AI has been spent trying to convince his peers that AI systems will, by default, be out of sync with human values (not necessarily opposed to but indifferent to human morality), and that doing anything to stop that will be a difficult technical problem. Yudkowsky began his career in AI by worriedly picking holes in others’ proposals for how to make AI systems safe.

Many experts fear that by overhyping their field, others may doom it when the gimmick wears off. This debate, however, shouldn’t hide a rising consensus; these are alternatives worth considering, funding, and investigating so that we have policies in place for when they are required.

What are we doing now to prevent the end of the world due to AI ?

A article summarising the state of the topic in 2018 stated, “It may be said that public policy on AGI [artificial general intelligence] does not exist.”

Technical work on promising ideas is being done, but surprisingly little is being done in the way of public-private partnerships, international cooperation, or policy planning. It is estimated that only 50 people worldwide work full-time on technical AI safety, and the majority of the effort is being done by a small number of organisations.

A research agenda for AI governance has been released by Bostrom’s Future of Humanity Institute. It focuses on “devising global norms, regulations, and institutions to best secure the beneficial development and deployment of sophisticated AI.” It has authored studies on the dangers of AI misuse, the background of China’s AI agenda, and the relationship between AI and global security.

The Machine Intelligence Research Institute (MIRI), which focuses research into creating highly reliable agents—artificial intelligence systems whose behaviour we can predict accurately enough to be certain they are safe—is the longest-running institution focused on technical AI safety. (Full disclosure: MIRI is a nonprofit organisation to whom I gave from 2017 to 2019.)

Less than three years old, OpenAI is a fairly young company that was formed by Elon Musk. However, there are active researchers who are involved in both the safety and capability study of AI. Researchers have since developed various strategies for secure AI systems. A research agenda from 2016 outlined “real unresolved technological concerns linked to accident avoidance in machine learning systems.”

A safety team and a technical research goal are presented here by Alphabet’s DeepMind, a leader in this field. It outlines an approach with an emphasis on specification (detailing goals well), robustness (designing systems that perform within safe limits under volatile conditions), and assurance (monitoring systems and understanding what they’re doing). “Our intention is to ensure that AI systems of the future are not just ‘hopefully safe’ but robustly, verifiably safe,” it concludes.

The robustness of contemporary machine-learning algorithms to minor alterations, algorithmic bias, and the transparency and interpretability of neural nets are just a few examples of the many people working on current AI ethics issues. Some of that studies might be useful for averting harmful situations.

Overall, however, it appears that most climate change researchers are concentrating on preventing the droughts, wildfires, and famines that are already happening. Only a small skeleton team is dedicated to making future predictions, and only about 50 researchers work full-time on developing solutions.

Not every company with a sizable AI department has a safety team at all, and some of them are just concerned with algorithmic fairness and not with the dangers posed by cutting-edge algorithms. There is no AI department in the US government.

There are still numerous unanswered questions in the subject that, depending on how they are answered, may make AI appear much scarier or much less so.

How concerned we should be ?

AI safety is competing with other goals that, well, sound a little less sci-fi, according to others who believe that fretting is premature and the threats are exaggerated, and it’s unclear why AI should take precedence. People who believe the concerns mentioned are significant and real find it absurd that we’re devoting so little time and money to addressing them.

While machine learning researchers are right to be sceptical of hype, it’s also difficult to ignore the reality that they’re utilising very general techniques to accomplish some great, surprising things, and that it doesn’t appear that all the low-hanging fruit has been harvested.

AI appears to be a technology that, when it is developed, will fundamentally alter society. It will be like launching a rocket, according to researchers from numerous significant AI groups; we must get it right before pressing the “go” button. So it seems imperative to start studying rocketry. Regardless of whether mankind should be afraid, we should unquestionably be doing our research.

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Artificial Intelligence

2 Artificial Intelligence Stocks for Future : Palantir & CrowdStrike – 2022

Just read this if you’re unclear about what artificial intelligence works or how potent it is:

Artificial intelligence, sometimes known as AI, is the emulation of human intelligence in devices that have been designed to think and behave like people. These intelligent machines may be taught to carry out a broad variety of jobs, from simple to complicated, and are built to learn and adapt to new environments. By automating procedures and improving their effectiveness and efficiency, AI has the potential to change a variety of sectors, including healthcare, finance, and education.

Although it might seem a little dull, ChatGPT, a computer software that uses artificial intelligence (AI), actually wrote that paragraph. Although feeding ChatGPT prompts and watching it work is intriguing, it only scratches the surface of what AI is capable of.

Palantir (NYSE: PLTR) and CrowdStrike (NASDAQ: CRWD) are two AI-using businesses that are outstanding investments . Let’s look at how these businesses use AI and why they could be excellent investments , one by one .

PALANTIR

Palantir

A publicly traded American software business with a focus on big data analytics is called Palantir Technologies. It was established in 2003 by Peter Thiel, Nathan Gettings, Joe Lonsdale, Stephen Cohen, and Alex Karp and has its corporate headquarters in Denver, Colorado. The name of the business is derived from The Lord of the Rings, where magical palantri were “seeing-stones,” which were characterised as infallible crystal balls used for communication and to observe occurrences in other areas of the earth.

The three projects Palantir Gotham, Palantir Apollo, and Palantir Foundry are the three for which the corporation is most known. Analysts working in the US Department of Defense and US Intelligence Community (USIC) offices utilise Palantir Gotham to combat terrorism. 

The Recovery Accountability and Transparency Board, a former US federal agency that functioned from 2009 to 2015, employed Gotham in the past for conducting fraud investigations. Cyber analysts at Information Warfare Monitor, a Canadian public-private partnership that ran from 2003 to 2012, also used Gotham. The operating system for continuous delivery and deployment across all environments is Palantir Apollo. The US Department of Defense has authorised five services, including their SaaS, for Mission Critical National Security Systems (IL5).  Corporations including Morgan Stanley, Merck KGaA, Airbus, Wejo, Lilium, and Fiat Chrysler Automobiles use Palantir Foundry. 

Federal agencies of the USIC served as Palantir’s first customers. Since then, it has added state and local governments to its list of clients in addition to private businesses in the financial and healthcare sectors.

Early in 2014, Forbes said that Palantir was “among Silicon Valley’s most valuable private technology businesses” due to the company’s $9 billion valuation. Thiel was Palantir’s largest shareholder as of December 2014. Following an unannounced round of fundraising with $50 million in November 2014, the company was valued at $15 billion in January 2015.  As the business completed a $880 million investment round in late 2015, this valuation increased to $20 billion.  Palantir is yet to announce a profit. In 2018, Morgan Stanley assigned the business a $6 billion valuation. 

According to investment bank RBC Capital Markets, the corporation has invested over $400 million into roughly two dozen SPAC targets, bringing those companies on board as clients.

CURRENT STATUS

The data processing platform from Palantir uses AI to assist customers in identifying possible chokepoints in a supply chain or identifying inefficiencies in a company. However, it was initially created for official purposes and assisted numerous agencies in making connections between terrorist organisations and tax evasion. More recently, it assisted in finding more than 15,000 people who would need to be evacuated from Afghanistan when American troops leave in 2021.

Palantir’s market dominance is demonstrated by the IDC’s (International Data Corporation) ranking Palantir #1 in market share and revenue for AI platforms. The Foundry subscription unit in the AWS marketplace costs $1 million per month, despite the company’s many awards and excellent quality. Palantir can only be used by the most well-known businesses, which are still very profitable, due to the expense.

CrowdStrike

An American cybersecurity technology business with its headquarters in Austin, Texas is called CrowdStrike Holdings, Inc. It offers services for threat intelligence, cyberattack response, and cloud workload and endpoint security.  The business has been involved in investigations into a number of high-profile cyberattacks, including the 2014 Sony Pictures hack, the 2015–16 cyberattacks on the Democratic National Committee (DNC), and the 2016 DNC email leak.

In 2011, George Kurtz, the CEO, Gregg Marston, the retiring CFO, and Dmitri Alperovitch, the former CTO, co-founded CrowdStrike. Former FBI agent Shawn Henry was appointed in 2012 to head the division CrowdStrike Services, Inc., which specialised in proactive and incident response services. The business unveiled CrowdStrike Falcon, which offered endpoint security, threat intelligence, and attribution, as its debut product in June 2013.

At this year’s Black Hat conference, CrowdStrike reportedly unveiled indicators of attack (IoAs) driven by artificial intelligence (AI) that are trained on extensive threat intelligence and synthesised insights with the vendor’s threat hunting team.

Over a decade ago, the security provider launched its first IoA to thwart breaches based on a variety of adversary behaviours, independent of easily modifiable indications like the various malware versions.

According to Param Singh, VP of Falcon OverWatch at CrowdStrike, the company’s recently launched cloud threat hunting service makes use of these cloud-based IoAs and indicators of misconfigurations to assist threat hunters in determining whether an alert is a true-positive one and discover security incidents more quickly.

This time, CrowdStrike combines AI capabilities with the IoA, “such that IoAs are now a collaboration between our expert humans and machines,” according to Trombley. Historically, threat hunters created and tuned IoAs, and CrowdStrike has used machine learning (ML) for threat detection and prevention.

The AI-powered IoA is made to detect new assault types and cutting-edge methods more swiftly. According to CrowdStrike, it has already discovered over 20 novel adversary patterns that have been implemented on the Falcon platform for automatic detection and prevention after being verified by human experts.

Current Status

CrowdStrike uses AI in a unique way: cybersecurity. Weekly, trillions of data points are produced by the endpoint and cloud workload security software and fed into CrowdStrike’s AI. When one client is attacked, it uses this information to enhance the entire software, thereby enhancing the protection of all other clients. As seen by CrowdStrike’s growth from 1,242 customers on January 31, 2018, to 21,146 as of October 31, this service has established its viability and popularity.

Additionally, G2 recognised CrowdStrike as a leader in 16 different categories, demonstrating the company’s commitment to quality throughout its broad range of products.

Conclusion

AI is being used by both businesses to power their applications.

While Palantir and CrowdStrike’s income is rising swiftly, their profitability is suffering as a result.Palantir will find it harder to close the profitability gap because it is growing much more slowly than CrowdStrike. Nevertheless, both businesses are profitable on a free cash flow basis, with CrowdStrike generating an outstanding $174 million (a 30% margin) and Palantir generating $36.6 million (an 8% margin) in the third quarter. How then do two unprofitable businesses generate so much money? They compensate their staff in stock.

Employee stock awards of $140 million were paid out by Palantir and CrowdStrike each in Q3 as a non-cash expense. When this is taken out, Palantir isn’t profitable, whereas CrowdStrike is still profitable on a free cash flow basis. As the businesses flood the market with new shares, owners will pay a hefty price since their holdings will be diluted. Both companies are starting to develop, so even though this is usual for young businesses to do, the cost should stabilise or, ideally, go down.

Both firms currently trade in a very typical valuation range for software companies following CrowdStrike’s recent sell-off.

It now depends on both companies achieving sustainably profitable growth because the risk associated with valuation has decreased. I believe CrowdStrike will succeed much more quickly and Palantir much more slowly in this endeavour. Therefore, CrowdStrike is a superior investment right now, even if it is getting harder to get customers in the current economic climate, even though I believe both companies will be fine in the long run.

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Blockchain Technology

Blockchain Technology & Social Media -2022

In contrast to traditional banks’ centralised bookkeeping method, blockchain technology refers to the decentralised ledger of bitcoin transactions. Each new transaction is saved in a node or in blocks since Bitcoin and other cryptocurrencies employ blockchain technology. The entire cryptocurrency chain must approve the block even though it is a separate one. The use of cryptocurrency is safe and transparent thanks to this method.

It may not seem like there would be much of a connection between social media and blockchain technology at first, but there is. When adopting Internet-based technologies, people might enjoy more privacy thanks to blockchain technology. Additionally, when social media users produce content that goes viral, they could get paid.

Here is a closer look that will show you how blockchain technology may affect social media especially.

Social life

Privacy of Information

Privacy on social media is an increasing worry, and for good reason. Through the Whatsapp app, for instance, Facebook now gets access to your conversations and other information. Snapchat, which once took great pride in its customers’ privacy, now maintains track of all user information and photographs that are sent back and forth. These are only a handful of the numerous instances in which your privacy may have been compromised; there may be others that you aren’t even aware of.

With the use of blockchain technology, users can conduct transactions in privacy. The transaction’s contents are only known to the sender and recipient. This is the highest level of internet privacy.

Social media platforms, however, function in the opposite way. You can be waiving your right to privacy by merely opening an account because they are frequently governed and watched over by large organisations. Every move you make on social media has the potential to be recorded and potentially utilised in a variety of ways. Furthermore, your account might be removed or censored without your permission. Blockchain technology could resolve these privacy concerns in the social media sphere.

A New Avenue of Payment

Many social media sites are looking into developing their own payment systems. Facebook is introducing a payment feature through its Messenger platform, for instance. Then, as you might anticipate, Facebook keeps track of every transaction. This is a serious privacy infringement that would deter some people from utilising the device.

In these kinds of financial transactions, user privacy may be protected via blockchain technology. In addition to other things, it might be used to safeguard privacy for private messaging. Users may feel more at ease utilising particular social media platforms as a result.

Businesses may be able to automate numerous operations through the use of smart contracts if they switch to safe trading transactions from their existing format. Additionally, they could monitor and analyse data more securely. This could therefore help them save a great deal of time and effort while also producing superior final outcomes. The good news is that this kind of technology has the potential to be applied in numerous fields and in a number of advantageous ways.

Earning Your Share

Due to social media’s current function as a middleman, content creators for social media are losing a lot of money. By eliminating the intermediary and allowing content creators to be paid for generating and distributing their work, blockchain technology, however, has the potential to upend this process.

In fact, this might even spark the development of a new economy. Users have complete control over the distribution of their material. They have a better chance of making money from the creation of passive income thanks to their distribution efforts. In essence, the creator of the content receives payment rather than the social networking site.

Some people might not be creating content right now since they aren’t getting paid enough for it. It makes sense that content creators want to be compensated for their work. Social media networks currently receive payment for the material you create, and they also sell ad space to generate additional revenue from users of these platforms. This perspective makes it obvious that a considerable disruption of the current practise is required.

Benefits of Blockchain Technology in Social Media 

Although Blockchain first focused on bitcoin exchanges, it has also demonstrated potential capabilities in other activities. The online market is about to develop into a trustworthy economy with safe data and transactions.

Social Media

1. Using blockchain to verify news and information

Facebook removed roughly 583 million bogus accounts at the start of this year. These accounts distributed false information.

The biggest issue with social media today is fake news. Anything can become viral within hours and become fact. In that case, if a phoney news story goes viral, horrible things can happen.

Thankfully, blockchain’s ledger technology can help to solve this. Blockchain makes it feasible to do tasks like personal verification, information verification, and data verification. The framework provided by oxcert serves as an example of how programmers can use decentralised applications to authenticate every piece of information.

Decentralized applications, often known as Dapps, enable everyone to control their digital data. Authentication is used by this framework to validate posts, content, and IDs. In a similar vein, blockchain facilitates data gathering on social media networks.

Blockchain technology is quickly moving toward social media sites. Platforms are assisted by third-party companies in integrating this technology for verification.

2. Giving users control over how much and who sees their data

Social media is seen from the standpoint of the market as a collection of data. Data may be accessible to third parties if a user doesn’t get control over this. A behavioural profile of the user is created with each post, like, or share. You receive news and advertisements based on your preferences as a result of this profile.

These informational resources can, however, also be used by outside parties to influence a user. Personal data breaches and data sales to third parties are problems the social media industry is currently confronting.

Blockchain technology has the power to stop this activity. Blockchain applications exist that provide users ownership over their data. They control how much and by whom their information is viewed.A wonderful example of a platform that lets people control their information is Skycoin. Every platform imposes restrictions on who can access the data, protecting the privacy of its users.

The usage of technology can enable consumers to charge advertising for the information they share. In order to obtain the necessary data, one might choose the appropriate individuals.

3. Increasing social media crowdfunding

Startups are growing more quickly thanks to crowdsourcing. Additionally, charity benefit from the money. Additionally, these behaviours are occurring on social media websites. Additionally, blockchain is the way to go if you want to make crowdfunding more secure, transparent, and quick. Investors can feel protected with blockchain technology, which also helps prevent money laundering.

Blockchain-enabled social networks make it simpler for investors to participate in crowdfunding. Without resorting to drastic measures, peers can manage contracts, accept payments, and confirm users.

To sum up

The blockchain is currently reshaping various businesses and offering significant advantages. These advantages, if well implemented, can alter how users view social media sites. Users might rely on other parties and data can become secure. What happens will only become clear with time.

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Artificial Intelligence

Artificial Intelligence & Energy Sector-2022

The richest man on Earth and Microsoft founder Bill Gates penned an article earlier this year for college students graduating throughout the world in 2017. The post was published online at “The blog of Bill Gates.” “If I were starting out now,” he said, Three fields come to mind. Artificial intelligence is one (AI). We have only just begun to explore all the possibilities for increasing productivity and creativity in people’s lives. The second is energy since reducing poverty and addressing climate change will depend on making it reliable, inexpensive, and clean. He mentioned biosciences as the third area.

The fact that careers in artificial intelligence and energy are not mutually exclusive is encouraging for those who are committed to enhancing living conditions for both the present and the future generations. In fact, as computing power, data collection, and storage capacity grow rapidly each year, they are becoming more integrated. The head of British Petroleum’s (BP) Technologies Group’s emerging technology division, Dan Walker, claims that “AI is enabling the fourth industrial revolution and has the potential to help deliver the next level of performance.”

Although AI is still in its infancy, it has the potential to completely alter how we generate, transmit, and use energy. At the same time as demand is rapidly increasing, our energy production portfolio is broadening, and we are seeing the effects of fossil fuel usage on biodiversity, air quality, and quality of life, AI is simultaneously lowering the industry’s environmental impact.

Why is it necessary to update the Energy grid ?

Thomas Edison established the country’s first power plant in 1882 at Pearl Street Station in lower Manhattan to serve 59 clients. Since then, the user base has grown to hundreds of millions, but the main design has not been updated for the present period. Power plants, transmission lines, and distribution hubs make up its extensive network (comprising roughly 5,800 power plants and over 2.7 million miles of power lines).

Inevitably, there are potential for monopolies to form in the market due to high expenses for infrastructure and distribution channels as well as strict governmental controls. As a result, three distinct U.S. grids generate and transmit electricity in accordance with the duty to offer affordable, dependable energy as a public benefit.

The average age of a power plant and a power transformer in the United States is over 30 years and 40 years, respectively. According to the government task team tasked with its investigation, the 2003 Northeast blackout, caused by this failing transmission system, was the biggest disaster in American history. An overloaded transmission line sagged and hit a tree, knocking down power to 50 million people for several days. These kinds of incidents can have a ripple impact on the entire area grid and are challenging for utility providers to handle.

The growth of distributed production, in which individual users produce and utilise their own electricity from renewable sources like wind and solar, presents another difficulty. Due to the complicated nature of supply and demand, utility companies are compelled to purchase excess energy from individual consumers who produce more power than they consume and transmit the extra energy back to the system. The amount of solar energy produced has more than tripled since 2010, and this growth is expected to continue as photovoltaic cells, the technology used to harness solar energy, become more efficient and less expensive.

This diversification of energy sources, particularly the increase in renewable resources, was not intended to be supported by the current system. Instead, utilities quickly activate backup fossil fuel-powered facilities known as “peaker plants” when demand exceeds supply to prevent a domino effect of disaster. The most costly and wasteful aspect of their operations, as evidenced by increased electricity costs for consumers and greenhouse gas emissions into the atmosphere, is this method. The expected future growth of the United States’ energy demand will make these issues worse.

How can the Energy grid be updated?

The U.S. Department of Energy (DOE) has established supporting the “smart grid” as a national policy objective to address these issues. A “fully automated power delivery network that monitors and controls every consumer and node, ensuring a two-way flow of electricity and information,” the “smart grid” includes all of these components. The DOE has deployed over 15 million smart metres that track individual energy consumption and notify utilities of local blackouts since 2010, investing $4.5 billion in smart grid technology. While the total U.S. energy demand is anticipated to rise by 25 percent by 2050, it is estimated that this programme will restrict the increase in peak electricity load on the grid to just 1 percent.

The intelligence of this upcoming smart grid will be AI. To quickly decide how to effectively allocate energy resources, the system will continuously gather and synthesis enormous volumes of data from millions of smart sensors across the country. Additionally, “deep learning” technologies, which enable machines to discover patterns and abnormalities in massive data sets on their own, will transform the demand and supply sides of the energy economy.

As a result, customised microgrids that handle local energy needs with more precision will take the place of big regional grids. These can be used with brand-new battery technologies to maintain power to and across neighbourhood communities even when severe weather or other power outages affect the larger power grid.

On the demand side, sensors along transmission lines and smart metres for users, including residences and businesses, will be able to continuously monitor demand and supply. Additionally, “synchrophasers”—briefcase-sized gadgets that measure the flow of electricity across the grid in real time—would enable operators to actively manage and prevent outages.By interacting with the grid and adjusting electricity use during off-peak hours, these sensors would lighten the load on the grid and reduce consumer prices. Google recently used this AI technology to cut its overall data centre power usage, resulting in savings of millions of dollars.

On the supply side, AI will make it possible for the United States to switch to an energy portfolio with higher production of renewable resources and few interruptions from the sources’ inherent cyclicity caused by changing levels of sunlight and wind. For instance, the grid might lower its output of fossil fuels when renewables are running over a given threshold, either because of increases in wind speed or sunny days, so reducing the amount of harmful greenhouse gas emissions. The converse would be true when renewable energy production is below its peak, allowing all energy sources to be used as effectively as possible and only turning to fossil fuels as necessary.Producers will also be able to adjust energy output from various sources in real-time to match social, geographic, and seasonal variations in demand.

Exist any issues with the proposed smart grid ?

The rising use of information and communication technology, which requires the Internet as well as computer and processing capacity to function, is one of the main issues with the smart grid. The use of the Internet has expanded by 30–40% annually, and businesses have switched to machine-run processes, making this industry a significant source to greenhouse gas emissions in recent years. Additional hardware and computer capacity will be required to process the quantity of data required to operate the smart grid, which will inevitably result in increased energy consumption and greenhouse gas emissions. Players in the AI energy grid market will therefore need to deal with this issue.

Fortunately, business executives are aware of this issue and are moving in the correct path. The three biggest sources of greenhouse gas emissions in this sector—computer manufacturers, data centres, and telecommunications—are working to cut emissions in a variety of ways. As an illustration, computer manufacturers are spending money on new hard drives, screens, and fuel cells; data centres are keeping an eye on the weather, pooling their resources, and researching cloud computing; and the telecommunications industry is looking into network optimization tools, solar-powered base stations, and fibre optics.

The entire system might be able to lower its carbon footprint if the smart grid is able to use fossil fuels as efficiently as feasible through growing incorporation of renewable resources as those technologies become more sophisticated and capable. We can be hopeful in expecting the smart grid system to reduce electricity costs and avert catastrophic blackouts by optimising supply and demand at the local and national levels, notwithstanding the uncertainties surrounding future technology progress.

The intersection of AI and energy is an excellent place to start for people who want to have an impact on how society develops in the future. The two industries’ merger is still in its early stages, but technological innovation is fundamentally altering the way we think about them. They are the perfect environment for creative thinkers to leave their imprint and have the potential to revolutionise the world as we know it.

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Artificial Intelligence

Artificial Intelligence’s Effects on Humanity-2022

The industrial revolution (IR) 4.0, sometimes referred to as artificial intelligence (AI), will alter not just how we carry out our daily activities and interact with others, but also how we perceive ourselves. This article will first define AI and then explain how it will affect changes in the industrial, social, and economic landscape for humanity in the twenty-first century. The IR1.0, or the IR of the 18th century, significantly altered society without directly affecting interpersonal interactions. However, contemporary AI has a significant impact on our daily activities as well as how we interact with one another. To meet this problem, new AI bioethics principles must be taken into account and developed in order to provide guidelines for the AI technology to follow and ensure that the development of this new intelligence benefits the entire world.

WHAT IS ARTIFICIAL INTELLIGENCE ?

Artificial Intelligence

There are many various ways to define artificial intelligence (AI); for some, it is the technology that was developed to enable computers and other devices to work intelligently. Some believe it to be a machine that takes the place of workers to provide a faster and more efficient outcome for men. Others view it as “a system” capable of accurately interpreting external data, learning from such data, and using those learnings to accomplish particular objectives and tasks through adaptable change .

Despite the diversity of definitions, it is generally accepted that artificial intelligence (AI) is a technology used by machines and computers to support humankind’s problem-solving and operational needs. In a nutshell, it is artificial intelligence that has been created by humans and shown by machines.These features of human-made tools that mimic the “cognitive” skills of the inborn intelligence of human minds are referred to as “artificial intelligence” (AI).

AI has almost completely permeated every aspect of our lives as a result of the rapid advancement of cybernetic technology in recent years. Some of this AI may no longer be considered AI because it has become so ingrained in our daily lives and we are accustomed to it, like optical character recognition or the Siri (speech interpretation and recognition interface) information-searching tool on computers.

Various forms of Artificial Intelligence

We can differentiate between two sorts of AI based on the capabilities and features it offers. First up is weak AI, sometimes referred to as narrow AI, which is created to do out certain tasks like self-driving cars, facial recognition, or Internet Siri searches. Numerous systems currently in use that advertise that they use “AI” are probably only weak AIs focused on a single, well-defined task. Even while weak AI appears to benefit human life, other people believe it could be dangerous since it could interfere with the electric grid or harm nuclear power plants if it malfunctions.

The long-term objective of many researchers is to develop strong artificial intelligence (AI), also known as artificial general intelligence (AGI), which is the speculative intelligence of a machine with the capacity to understand or learn any intelligent task that a human being can, thereby assisting human beings to solve the problem at hand. Even if humans may still outperform narrow AI in tasks like playing chess or solving equations, the impact is currently minimal. However, AGI could perform practically every cognitive task better than humans.

Strong AI is an alternative interpretation of AI that may be taught to mimic human intelligence, to be intelligent in whatever task is given to it, and to even possess perception, beliefs, and other cognitive abilities that are typically solely attributed to humans.

Distinct AI functions

1. Automation
2. MACHINE LEARNING AND VISION
3. NATURAL LANGUAGE PROCESSING
4. ROBOTICS
5. SELF-DRIVING CARS

Do people actually require Artificial Intelligence ?

Is the human society really in need of AI ? It varies. Yes, it is if someone picks a quicker and more effective way to do their work and works continuously without taking a break. However, it is not if humanity is content to live a natural lifestyle without having overbearing ambitions to subvert the natural order. According to history, people are constantly seeking methods that are quicker, simpler, more efficient, and convenient to complete the tasks they are working on. As a result, the need for continued progress drives people to seek out new and improved methods of accomplishing things.As homo-sapiens, humanity learned that using tools could ease many difficulties associated with daily life and that with the tools they created, humans could execute tasks more efficiently. The catalyst for human progress is inventiveness, the making of new things. Today’s easier and more relaxed way of life is entirely due to the contribution of technology. Since the dawn of civilization, the tools have been a part of human culture, and they are essential to advancement. 

Above all, we observe the high-profile applications of AI, such as self-driving cars and drones, medical diagnosis, art creation, game playing (such as Go or Chess), search engines (such as Google search), online assistants (such as Siri), image recognition in photos, spam filtering, forecasting flight delays, etc. All of them have made life so much more simple and easy for people that we have grown accustomed to them and take them for granted. Even if it is not strictly necessary, AI has become indispensable because without it, our world would be in disarray in many ways.

Artificial intelligence’s effects on Human Society

AI Brain

Negative results

  1. There will be a significant societal shift that will drastically alter how we live in the human community. Humanity must work hard to survive, but thanks to artificial intelligence, we can simply teach a computer to perform a task for us without even picking up a tool. The necessity for face-to-face interaction for the exchange of ideas will be replaced by AI, which will gradually reduce the closeness of human relationships. AI will act as a barrier between individuals as personal interactions will become unnecessary for communication.
  2. The next is unemployment because a lot of jobs will be automated. The use of machines and robots on many modern auto assembly lines has resulted in the displacement of many conventional workers. Even at grocery stores, store employees will no longer be required since digital devices may replace human work.
  3. As AI investors will receive the lion’s share of profits, wealth disparity will be generated. The wealth disparity between the rich and the poor will increase. It will be easier to see the alleged “M” shape of wealth distribution.
  4. AI may be developed by human creators with racial biases or selfish goals in mind, harming particular individuals or objects. For instance, the United Nations has decided to restrict the development of nuclear power out of concern that it could be used indiscriminately to eliminate humanity or to target particular races or regions in order to establish dominance. It is theoretically feasible for AI to target a certain race or some programmed objects in order to carry out the programmers’ instructions to destroy them, resulting in global catastrophe.

Positive impact

  1. The diagnosis produced by IBM’s Watson machine is remarkable. The computer’s diagnosis will be made promptly after the data has been loaded. AI can offer doctors a variety of therapeutic options to take into account. To feed the digital findings of the physical examination into the computer, which will take into account all scenarios, automatically determine whether the patient has any inadequacies or illnesses, and even recommend various forms of treatment options.
  2. Seniors are advised to get pets to relieve stress, lower blood pressure, deal with loneliness, and boost social engagement. Now, cyborgs have been proposed as companions for those elderly people who are alone, even as helpers for some household duties. Seniors and physically disabled people’s quality of life is improved by therapeutic robots and socially helpful robot technologies.
  3. Human error in the workplace is unavoidable and frequently expensive; the more fatigued workers are, the higher their chance of making mistakes is. But there is no tiredness or emotional diversion with all technologies. Errors are avoided, and the task can be completed more quickly and precisely.
  4. Surgical techniques powered by AI are now available for consumers to select. Even though this AI still need medical personnel to run it, it can finish the job with minimal harm to the body. Most hospitals now have access to the da Vinci surgical system, a robotic device that enables surgeons to undertake minimally invasive surgeries. When compared to manual processes, these systems are much more precise and accurate. The less intrusive the procedure, the less trauma, blood loss, and worry the patients will experience.
  5. In 1971, the first computed tomography scanners were released. In 1977, a magnetic resonance imaging (MRI) scan of the human body was performed for the first time. Heart MRI, body MRI, and prenatal imaging had all become commonplace by the early 2000s. New algorithms are still being sought for to assess scan results and detect particular disorders [9]. All of those are contributions made by AI technology.

Some cautions to be Reminded

Human expertise are still required to develop, implement, and operate the AI in order to prevent any unanticipated errors from arising, despite all the great potential that it holds. In a free newsletter she published, San Francisco-based technology analyst Beth Kindig noted that while AI holds out the possibility of improving medical diagnosis, human experts are still required to prevent the misclassification of unidentified diseases because AI is not omnipotent and cannot solve all of humanity’s problems. When AI encounters a dead end, it may simply move forward indiscriminately to complete its task, which will only lead to further issues. Thus, it is imperative to keep a close eye on how AI works.Physician-in-the-loop is the term for this reminder .

In order to warn against bias and potential societal harm, Elizabeth Gibney raised the issue of an ethical AI in her essay that was published in Nature [14]. The 2020 Neural Information Processing Systems (NeurIPS) conference in Vancouver, Canada, raised ethical questions about the use of AI technology in areas like facial recognition and predictive policing, which can harm vulnerable populations owing to biassed algorithms [14]. For instance, the NeurIPS can be designed to identify members of a particular race as likely criminal suspects or troublemakers.

Artificial Intelligence’s threat to Bioethics

AI threates

The interaction between living things is the main topic of the subject of bioethics. Bioethics emphasises right and wrong in biospheres and can be divided into at least three categories: bioethics in social settings, which is the relationship between people, and bioethics in environmental settings, which is the relationship between people and nature, including animal ethics, land ethics, ecological ethics, etc. All of these are interested in the connections between and within natural existences.

Humans are faced with a new dilemma as AI develops: how to relate to something that is not inherently natural. Bioethics often explores the interaction between human beings and their environment, both of which are natural occurrences. However, men now have to contend with AI, a human-made, artificial, and unnatural object. Humans have made a lot of things, but they have never had to consider how to relate to their own creations ethically. AI doesn’t have any emotions or personality on its own. AI engineers now understand how critical it is to provide AI the capacity for discrimination so that it can avoid engaging in behaviours that could damage humans unintentionally. From this vantage point, we recognise that AI has the potential to negatively affect people and society. As a result, bioethics of AI becomes crucial to ensure that AI does not develop on its own by diverging from its intended use.

Early in 2014, Stephen Hawking issued a dire warning that the emergence of fully conscious AI might mean the extinction of humanity. He claimed that after humans perfect AI, it might go out on its own and constantly reinvent itself . Since biological evolution is sluggish, humans would not be able to compete and would be surpassed. Nick Bostrom makes the case that AI will endanger humanity in his book Superintelligence. He contends that if AI becomes sufficiently sophisticated, it may engage in convergent behaviour such as resource acquisition or self-preservation, which could be harmful to humanity.

CONCLUSION

Because AI is a constant in our environment, we must fight to uphold the AI bioethics of beneficence, maintaining values, clarity, and responsibility.Since AI already lacks a soul, its bioethics must be transcendental to make up for this deficiency and overcome its lack of empathy. AI exists in the world now. We should remember what AI pioneer Joseph Weizenbaum said, that we shouldn’t allow computers make key decisions for people because AI as a machine will never have compassion or the ability to assess or understand morality . Bioethics is a process of conscientization rather than a matter of calculation.AI is still a computer and a tool, despite the fact that its creators can upload all the information, data, and programming necessary for it to behave like a human being. Without genuine human emotions and the ability to empathise, AI will always stay AI. AI technology must therefore be developed with great prudence. In his White Paper on AI: A European Approach to Excellence and Trust, Von der Leyen stated that because AI must serve people, it must always uphold their rights. AI at high risk. Before it enters our single market, anything that might infringe on people’s rights must be examined and approved.

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  3. Crypto Lending – An Easy Source Of Passive Income-2022
  4. DALL·E Mini : A Text to Image Converter AI Tool – 2022
  5. History Of Blockchain
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Uncategorized

DeFi – Introduction , Advantages and Risks-2022

With a focus on its features and subsets, this article will analyse a number of studies and researches on decentralised finance with the goal of providing a summary of how the ecosystem is changing and how it might alter the structure of contemporary finance by fostering new opportunities for innovation.

INTRODUCTION

Decentralized financial innovation, or DeFi, is the shift in the economic paradigm made possible by decentralised technology, primarily blockchain networks, which gave rise to a whole movement with the invention of bitcoin (S.Nakamoto, 2008). Blockchain and Distributed Ledger Technologies (DLT) serve as the foundation for technology that is transparent, immutable, and without boundaries. Launched in 2015, Ethereum is the first programmable blockchain in existence. The idea behind the Ethereum Virtual Machine is that it can run more complex applications, allowing for the direct control of digital assets by a piece of code, the implementation of methodical rules, or even the creation of decentralised autonomous organisations using blockchain technology (DAOs).

Because Ethereum is programmable, programmers can use it to create new sorts of apps (G. Wood, 2014). It is feasible to execute programme logic decentralizedly using smart contracts as the foundation for Decentralized Applications (dApps), as all peers in the blockchain network validate transactions to maintain the accuracy of the ledger. The programme logic is executed as a result of these transactions, which causes modifications to the state of globally shared objects.

The concept is to build and run financial decentralised applications (dApps) on top of transparent and unreliable infrastructure, such permissionless peer-to-peer (P2P) protocols. This emerging idea of “Open Finance” mainly refers to digital assets, financial smart contracts, protocols, and decentralised applications created using distributed ledger technology or open blockchains. There were 214 DeFi projects mentioned as of June 2020, 199 of which utilised the Ethereum Blockchain architecture (DeFiPrime, 2020). In conclusion, the DeFi movement is moving traditional financial goods to the open source and decentralised world, eliminating the need for intermediaries, cutting costs generally, and significantly increasing transparency.

What is DeFi, and why is it so popular right now ?

DeFi, also known as “Open Finance,” is a collection of Blockchain/DLT-based financial services and applications that aim to supplement or replace the current financial system, also known as “Centralized Finance.” Decentralized Finance offers many advantages over conventional financial services thanks to the usage of distributed platforms and smart contracts. Deploying a financial application or product becomes far less difficult and demanding as ecosystems develop. For instance, a lot of decentralised applications (dApps) are being created on top of the Ethereum blockchain, which offers cheaper entry costs and operations costs (Binance Academy, 2020).

Numerous efforts are already making progress in the various sub-sectors that make up the larger DeFi landscape. These specific projects were formed on the Ethereum network, although others have been 317 developed or already exist on other permissionless blockchains like Bitcoin. The developers of DeFi are able to make their services available to everyone with a device and an internet connection by employing permissionless networks.

Currently, DeFi’s three main purposes are :

1.interpreting financial banking services (e.g., Issuance of stablecoins)

2.offering platforms for peer-to-peer (or pooled) lending and borrowing

3.enabling cutting-edge financial tools including Decentralized Exchanges (DEX), Platforms for Tokenization, Derivatives, and Predictions Markets

Some of the most common use cases

Stablecoin

A cryptocurrency that aims to keep its market price steady is known as a stablecoin. Since these digital currencies have become more widely used, many stablecoin projects have emerged. Stablecoins are designed to offer some of the benefits of both the fiat currency and cryptocurrency worlds. Stablecoins can be used as a stable currency that offers improved transparency and decentralisation, although they are currently largely employed as a hedge against the extreme volatility of cryptocurrency markets. Additionally, compared to conventional fiat currencies, they offer quicker transactions and reduced fees, with an average of $0.2 per transaction (Ethgasstation, 2020), which makes them a great alternative for international transfers and regular payments.

Stablecoins are designed to be fairly immune to market volatility, thus they shouldn’t undergo big price movements, though the specific processes vary from currency to coin.

320 The value of many stablecoins is fixed by tying them to the value of another asset. Although the majority of them are tied to the US dollar, stablecoins can also be linked to the value of other cryptocurrencies or even physical commodities like silver or gold. These currencies avoid the dramatic price swings produced by the high levels of volatility, which are quite typical in cryptocurrency markets, by being tied to real-world assets (Binance Academy, 2020).

Borrowing and Lending

One of the most popular subcategories of open finance, lending and borrowing dApps, are supported by the Blockchain in large numbers. Users can use their cryptocurrency as collateral in smart contracts and borrow money against it. Following that, it automatically paired lenders and borrowers and dynamically adjusted the interest rate based on supply and demand as well as open lending rules (C.Bhardwaj, 2020).

Decentralized Exchanges

2020 is already looking like the year that decentralised exchanges take centre stage. The DEX ecosystem is growing stronger every day thanks to improved usability, greater liquidity, and rising composability. Due of their fiat onboarding and convenience of use, centralised players have long attracted the attention of many when it comes to cryptocurrency exchange. Contrary to popular belief, many have been quick to point out that centralised exchanges have their own unique hazards, particularly those related to custody. Many traders have learned to respect the non-custodial options provided by decentralised exchanges, which were famously highlighted by hacks on formerly well-known exchanges like Mt. Gox in 2014.

Funding protocols, software development tools, index creation, subscription payment methods, and data analysis software are a few further examples of products and use cases.

The Advantages of DeFi

Wider global access to financial services

According to the World Bank Group’s 2017 report, 1.7 billion adults globally do not have access to any financial institutions. Decentralized Finance aims to provide basic financial services for all of its users using a smartphone and an internet connection, breaking down the status, wealth, and geography barriers that limit global access to the financial world most industrialised nations take for granted.

Affordable Cross Border Payment

DeFi services are anticipated to reduce the average global remittance charge from its present, frequently outrageously expensive 7% to a much lower 3% average by doing away with the need for some intermediaries (C. Hoffman, 2020).

Improved Privacy and Security

Data breaches in centralised organisations, such as the First American Financial breach in May 2019, exposed almost 885 million personal and financial details (Krebson Security, 2019). A decentralised system, by definition, lacks a centralised single point of failure that may enable this kind of breach.

Censorship resistant transactions

Governments or big businesses cannot filter or turn off a full DeFi system. In countries where the current governments and financial institutions may be dishonest or unreliable, a system like this can deliver stability and an alternate option. Developers of these new DeFi applications will concentrate on making a simple and straightforward user experience so that any user may fully benefit from the new system that is being implemented in an effort to popularise their services. While each of these advantages is strong on its own, together they have the potential to have a significant impact.

Risks

Due to a number of difficulties relating to fraud, volatility, usability, and regulatory ambiguity, DeFi has not yet realised its full potential. Decentralized finance can be susceptible to fraud and the spread of unproven financial ideas, to start.

By offering collateral that can be utilised to collateralize other actions taking place in the DeFi ecosystem, a DeFi savings account enables you to lend to others in an efficient manner. Your savings are used to finance other people’s purchases, just like in a traditional bank. The difference is that in traditional finance, your savings are multiplied through fractional reserve banking to extend many times more than the actual amount of savings, whereas in DeFi it’s the opposite because DeFi requires over 330 collateralization. Given that you can only lend an amount that is less than what you have in savings, it is more like a negative fractional reserve rate.

There is a new class of risks, though, when you place your savings in an account that is a component of a smart contract in a DeFi system. The risk is not that your bank will fail and the deposit insurance won’t be able to cover all the covers, which is a counterparty risk; rather, the risk is that the smart contract itself will have a coding security flaw. A defect in the smart contract could cause your savings account to be emptied or allow for theft by a third party. At this point, this can be applied to all DeFi applications. There are bugs, but the questions are “how serious they are” and “how easy it is to exploit these vulnerabilities,” not “whether there are bugs.”

Due to the environment’s complexity, the risk has moved from counterparty institutions and third-party custodians to software coding risk, when one or more errors were committed by the smart contract’s creators.

Conclusion

The next significant change to the financial system may be decentralised finance. This new wave of applications and services, powered by blockchain technology, will give the unbanked access to financial services, lower transaction costs, increase security, and give users a seamless experience from anywhere in the world. As with any new technology, it’s vital to step back from the marketing hoopla and consider the obstacles in the way of widespread adoption. For DeFi, they include difficulties that touch on interoperability and transaction speeds as well as legal issues. DeFi won’t be able to realise its full potential until these difficulties are dealt with and overcome.

DeFi now takes a great deal of information because the technology is still in its infancy and prone to issues, hazards, and security flaws.

Also Read ,

1.A-Z Guide of Blockchain Gaming-2022

2.Crypto Lending – An Easy Source Of Passive Income-2022

3.Role of Blockchain in Global Healthcare System-2022

4.Blockchain-Based Voting System : 2022

5.How To Become Blockchain Developer  ?-2022

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Blockchain Technology

A-Z Guide of Blockchain Gaming-2022

As blockchain-based gaming have gained popularity, the gaming industry has been turned on its head by turning users become the primary financial decision-makers rather than developers.

The trend of play-to-earn (P2E) cryptocurrency gaming shouldn’t be ignored. But it’s important to grasp how everything functions before we go into the specifics.

More people are playing games than ever before. Currently valued at $173 billion, the gaming sector is expected to cross the $300 billion milestone in the following five years, according to extremely promising statistics. This boom is the result of a recent spike of new players, particularly on mobile platforms, which has improved the accessibility and usability of gaming for the estimated 2.6 billion gamers globally.

However, for many people, having fun online is no longer their main motivation. Time is money, as the adage goes, and players have no doubt noticed that they are investing a lot of time in virtual experiences with little reward. They have therefore begun to explore for ways to make money from their passion. Up until recently, there haven’t even been many options for casual players to profit from their gaming efforts outside of the arena of eSports.

What is Blockchain Gaming ?

Blockchain Gaming

Blockchain is a type of ledger technology that acts as a method for recording and storing information and cannot be compromised, tampered with, or changed in any other way. In theory, anyone can view a network’s transaction history. A world of possibilities spanning virtual economies are made possible by the blockchain, which drives cryptocurrencies like Bitcoin and Ethereum. Game makers have undoubtedly recognised this potential.

Marketplaces are typically present in most games, allowing players to buy and sell commodities like avatars, loot boxes, and weapons. However, even if they pay real money for it, they might not actually own any of it. This is due to the fact that game producers have had complete control over game dynamics, from the plot to the game assets amassed by players, for the majority of the history of video games. Players don’t actually own their accounts or the things in them because everything is owned by one company. Other drawbacks of this model include its lack of transparency and vulnerability to manipulation of game mechanisms.

Using blockchain, gaming firms no longer have complete control over the entire gaming experience, introducing for the first time decentralised and fair virtual markets where players have a meaningful say.Blockchain technology offers uses in the gaming sector that go beyond supporting virtual economies.

Key Features of Blockchain-Based Gaming

1.Blockchain-based games provide users full control and genuine ownership over their virtual possessions. Assets are typically represented by recognisable non-fungible tokens (NFTs).

2.Players can trade in-game items across several game markets that are housed on the blockchain by connecting in-game assets to blockchain tokens.

3.Building open, distributed, and transparent ecosystems is made possible by blockchain technology. Players, not gaming companies, determine the game’s dynamics, and they have the option to accept or reject changes. Additionally, this prevents experience-ruining cheats.

4.The decision to end a game is entirely up to its authors, regardless of whether it is housed on a single server. With blockchain, players can continue playing a game even if the developers are no longer working on it, and games can generate new plots and assets on their own.

By enabling users to buy, sell, and manufacture various virtual kittens in the form of NFTs, or non-fungible tokens, which transform each virtual kitten into a distinct, valuable digital asset, the game CryptoKitties became the primary force behind this revolution in 2017. The value of a kitten increases with rarity; the most expensive Cryptokitten sold for $172,000, for example.

Can you make money playing games on the blockchain ?

As previously indicated, blockchain games are distinct due to two features: the incorporation of cryptocurrencies, which are utilised for in-platform payments, and the use of NFTs. NFTs are a significant improvement since they allow users to own unique assets that may be traded with other players inside the same game or moved between platforms. As in real-world economies, blockchain games also feature marketplaces where you may make money.

Only the most devoted gamers can get tangible rewards for their work; while those with artistic tendencies can make and sell collectible items. The possibilities are endless, and game designers are just getting started.

In addition, some people have only invested in the gaming sector, while others have made it their full-time profession.

How do I begin playing Blockchain Games?

So, if you’re persuaded after reading this far, be ready to roll up your sleeves and start this. In order to get started, you will need a computer or mobile device. Simple enough, yes? The next step is to choose a site for cryptocurrency exchange so that you may turn your cash into, well, cryptocurrency. There are several exchanges available, but it’s crucial to pick the one that best suits your requirements. Additionally, as the Ethereum blockchain is the foundation for most cryptocurrency gaming, you might want to think about buying Ether. Now that you have some ether, what are you going to do with it? The same as what you would do with actual money: locate a secure location to keep it.You’ll need to open a digital wallet at this point, and there are many solutions available. The only thing left to do now is choose a game to play. You’re now ready to go.

2022’s Best Blockchain Games

Blockchain gaming is still very much a niche market when compared to the conventional gaming sector. But that doesn’t mean that it should be laughed aside. There are currently hundreds of crypto games, which although still a small portion of the overall market, are slowly gaining millions of players (and a whole lot of money).

So let’s take a short look at the key figures in the cryptocurrency gaming industry:

Axie Infinity

Gaming

NFTs have risen to amazing heights thanks to Axie Infinity, the undisputed monarch of all crypto games. There are Axies (or digital creatures) in this game, which some people have equated to a Pokemon experience. Each Axie is an NFT. There are axes for sale, trading, and breeding. They can also be used by players to compete against other players or teams in seasonal competitions. Rare Axies can be pricey; one recent sale of virtual real estate brought around $1.5 million. What sets Axie Infinity apart from other gaming platforms is the robust virtual economy that Smooth Love Potion (SLP) and Axie Infinity Shard (AXS) can boast, which recently saw increases of up to 5,700%.Additionally, in contrast to other well-known players, Axie encourages players to cash out.

 AXS can be traded for money or ether. In many countries, including the Philippines, where players have converted the game into a full-time career from just a side gig, it has become incredibly popular.

Blankos Block Party

BBP

Of course, Mythical Games was well-known before launching Blankos in the cryptocurrency game industry. With a focus on unique designs, this game lets you make your own vibrant figures in the form of digital vinyl toys. Additionally, it enables users to create and explore virtual worlds where they can participate in quests, create their own “Blankos,” and play cooperative games (“Block Parties”). Investors have been particularly interested in limited edition Blankos due to the popularity of collaborations with artists like Deadmau5 and Burberry.

Upland

Upland Gaming

Users can purchase, sell, and trade virtual land that is mapped to the real world in this blockchain-based game. Real estate developers can create homes and make UPX currencies. San Francisco and New York have been mapped as part of the initiative, and you may purchase virtual houses for sale that are connected to actual addresses in these cities. A more recent addition to the game is the Property-to-USD pilot programme, which enables players to sell real estate for cash.

Mobox

This free-to-play option utilises the Binance Smart Chain and mixes gaming and decentralised finance (DeFi). According to the Mobox developers, this strategy will enable players and investors to access games from several blockchains on a single platform, bringing gaming and GameFi closer together. The primary objective of the game is to give users the freedom to take part in NFT games while earning money while doing so. To control the growth and distribution of resources within the MOBOX ecosystem, MBOX tokens are utilised for transaction processing, staking, and governance. Three games are now playable on the platform, and two more are anticipated to be released soon.

Lightnite

Lightnite has been described as a Fortnite-style battle royale game and was created by the same team behind the Bitcoin arcade game portal Satoshi’s Games. The microtransactions in this multiplayer online game are totally powered by the Lightning Network, and players are rewarded with Bitcoin for shooting other players. The likelihood of winning more Bitcoin increases for players who are skilled at the game and kill more opponents. Players who get shot, on the other hand, are punished and forfeit Bitcoins. Lightnite’s. Through the Elixir Marketplace platform, an NFT marketplace, all in-game assets may be tokenized and traded.

CryptoKitties

Cryptokitties Gaming

CryptoKitties may have been one of the first games to highlight the possibilities of blockchain gaming and the one that created the crypto-collectibles sector, but it is still incredibly well-liked today. Users can purchase, breed, and exchange beautiful, cartoon-like cats of varied rarities. You own the cats and have full reign to sell them, just like in other blockchain games. CryptoKitties is a really straightforward but compelling game. However, purchasing and breeding new kittens comes at a relatively hefty cost in ether, which may be very taxing on your finances.

Sandbox

Players can own land, create, play, and take part in virtual experiences in this virtual environment, or metaverse. For artists or tiny developers who are uncomfortable using other gaming engines, having a sandbox plot of virtual land allows you to earn money from the experiences you create within the metaverse. The SAND token can be used to buy and sell any Sandbox feature, and as a result, users help to constantly extend this metaverse. Players have more options than just exchanging virtual real estate; they may also exchange NFTs, which can be used to alter the appearance of their avatars.

Why You Should play crypto games?

Players’ desire to profit from their skills in gaming and the time they spend in front of screens is nothing new. The doors are wide open for blockchain gaming. You can not only profit from transparent and equitable virtual economy, but you can also claim actual ownership of game assets, participate in a community-driven ecosystem (DAO), and have your say on choices affecting the game. None of this was feasible in the centralised, traditional gaming industry, and as more crypto games appear, the incentive for users to participate in more transparent and equitable virtual experiences increases.

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  3. Blockchain-Based Voting System : 2022
  4. Role of Blockchain in Global Healthcare System-2022
  5. Artificial Intelligence : A Detailed Study-2022
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Artificial Intelligence

Artificial Intelligence : A Detailed Study-2022

Mathematician Alan Turing changed history once more with a straightforward query: “Can machines think ?” Less than ten years after assisting the Allies in winning World War II by cracking the Nazi encryption device Enigma.

Turing’s 1950 article “Computing Machinery and Intelligence” and the accompanying Turing Test established the fundamental goal and vision of AI.

Fundamentally, the field of computer science known as artificial intelligence (AI) aims to successfully address Turing’s challenge. This endeavour aims to mimic or duplicate human intelligence in machines. The broad goal of AI has generated a lot of debate and interest. In reality, there is no universally accepted definition of the field.

Defining AI

Artificial Intelligence

The biggest problem with merely “developing intelligent machines” as an AI goal is that it doesn’t define AI or describe what an intelligent machine is. The interdisciplinary science of artificial intelligence (AI) is approached from many different angles, but developments in machine learning and deep learning are driving a paradigm shift in practically every sector of the computer industry.

A 2019 research study titled “On the Measure of Intelligence” is one example of a new test that has been suggested recently and has received generally positive reviews. In the article, François Chollet, a seasoned expert in deep learning and a Google employee, makes the claim that intelligence is defined as the “pace at which a learner transforms their existing knowledge and experience into new skills at worthwhile activities that include uncertainty and adaptation.” In other words, the most intelligent algorithms are able to predict what will happen in a variety of situations with only a tiny quantity of experience.

In contrast, Stuart Russell and Peter Norvig address the idea of AI by organising their work around the theme of intelligent agents in machines in their book Artificial Intelligence: A Modern Approach. In this light, Artificial Intelligence (AI) is defined as “the study of agents that acquire perceptions from the environment and perform actions.”

FOUR TYPES OF APPROACHES ARE DEFINED AS ARTIFICIAL INTELLIGENCE

(i) Thinking like a human being means modelling thought after the human mind.

(ii) Rational thinking is the imitation of logical cognition.

(iii) Being humane means acting in a way that resembles human conduct.

(iv) Rational behaviour refers to behaviour that is intended to accomplish a specific objective.

The first two ideas deal with how people think and rationalise, whereas the remaining ideas are concerned with how people act.According to Norvig and Russell, “all the skills needed for the Turing Test also allow an agent to act rationally.” They place special emphasis on rational agents that act to achieve the greatest results.

“Algorithms enabled by restrictions, exposed by representations that support models focused at loops that tie thought, perception, and action together,” is how Patrick Winston, a former MIT professor of AI and computer science, characterised AI.

Although these concepts may seem esoteric to the average person, they assist to focus the discipline as a branch of computer science and offer a guide for incorporating ML and other branches of AI into programmes and machines.

The Four Categories of Machine Intelligence

Based on the kinds and levels of difficulty of the tasks a system is capable of performing, AI can be categorised into four categories. Automated spam filtering, for instance, belongs to the most fundamental category of artificial intelligence, while the distant possibility of creating robots that can understand human emotions and thoughts belongs to a completely separate subcategory of AI.

1.Reactive Machines

The most fundamental AI principles are followed by a reactive computer, which, as its name suggests, can only use its intellect to see and respond to the environment in front of it. A reactive machine cannot utilise past experiences to inform current decisions since it lacks memory. Because they can only experience the world right away, reactive machines can only carry out a limited number of highly specialised jobs.

However, intentionally limiting the scope of a reactive machine’s worldview means that this kind of AI will be more dependable and trustworthy – it will respond consistently to the same stimuli.

The chess-playing supercomputer Deep Blue, which was created by IBM in the 1990s and defeated Gary Kasparov in a game, is a well-known example of a reactive machine. Deep Blue was only able to recognise the chess pieces on a board, know how each moves according to the game’s rules, acknowledge each piece’s current position, and decide what would be the most logical move at that precise moment. The machine wasn’t striving to better place its own pieces or anticipate prospective movements from the other player. Every turn was perceived as existing independently of any earlier movements and as having its own reality.

Google’s AlphaGo is another illustration of a reactive machine that plays games. Due to its inability to predict moves in the future and reliance on its own neural network to analyse game developments in the present, AlphaGo has an advantage over Deep Blue in more difficult games. In 2016, champion Go player Lee Sedol was defeated by AlphaGo, which has already defeated other top-tier opponents in the game.

Reactive machine AI can achieve a level of complexity and offer dependability when developed to carry out recurring tasks, despite its constrained scope and difficulty in modification.

2. Limited Memory

When gathering information and assessing options, limited memory AI has the capacity to store earlier facts and forecasts, effectively looking back in time for hints on what might happen next. Reactive machines lack the complexity and potential that limited memory AI offers.

 An AI environment is developed so that models can be automatically taught and refreshed, or AI is created when a team continuously teaches a model in how to understand and use new data.

The following six actions must be taken when using ML with restricted memory AI: 1.Training data must be created 2.The ML model must be developed,3. be able to generate predictions, 4.be able to accept feedback from humans or the environment, 5.be able to store that feedback as data, and 6.all of these stages must be repeated in a cycle.

3.Theory of Mind

It is only speculative to have a theory of mind. The technological and scientific advancements required to reach this advanced level of AI have not yet been attained.

The idea is founded on the psychological knowledge that one’s own behaviour is influenced by the thoughts and feelings of other living creatures. This would suggest that AI computers would be able to reflect on and decide for themselves how people, animals, and other machines feel and make decisions. Robots ultimately need to be able to understand and interpret the concept of “mind,” the fluctuations of emotions in decision-making, and a litany of other psychological concepts in real time in order to establish two-way communication between people and AI.

4. Self Awareness

The final stage of AI development will be for it to become self-aware after theory of mind has been created, which will likely take a very long time. As conscious as a person, this kind of AI is aware of both its own presence and the presence and emotional states of others in addition to its own. It would be able to comprehend what other people could need based on both what they say to them and how they say it.

AI self-awareness depends on human researchers being able to comprehend the basis of consciousness and then figure out how to reproduce it in machines.

How is AI used ? 

Virtual AI

DataRobot CEO Jeremy Achin gave the following definition of how AI is used now in his lecture to a crowd at the Japan AI Experience in 2017.

“AI is the ability of a computer system to carry out operations that often require human intelligence… These artificial intelligence systems are frequently powered by machine learning, occasionally by deep learning, and occasionally by really dull stuff like rules.

Based on its capabilities, artificial intelligence can be categorised in three different ways. These are stages through which artificial intelligence (AI) can develop rather than different varieties, and only one of them is currently feasible.

1.Narrow AI, sometimes known as “weak AI,” is a replica of human intellect that only operates in specific contexts. Even while these machines may appear clever, they are functioning under many more restrictions and limits than even the most primitive human intelligence. Narrow AI is frequently focused on executing a single task exceptionally well.

2. Artificial General intelligence (AGI) AGI, often known as “strong AI,” is the type of artificial intelligence (AI) that we see in movies, such as the machines in Westworld or Data in Star Trek: The Next Generation. A machine with general intelligence, or AGI, can use its intelligence to solve any problem, much like a human being.

3.Superintelligence : This will probably mark the apex of AI development. Superintelligent AI will be able to not only mimic but also outperform human intelligence and complex emotion. This could entail forming its own opinions and conclusions, as well as its own ideologies.

Advantages and Disadvantages of Artificial Intelligence

Although AI is undoubtedly seen as a valuable and rapidly developing asset, this young area is not without its drawbacks.

In 2021, the Pew Research Center polled 10,260 Americans about their views on AI. According to the findings, 37% of respondents are more concerned than excited, while 45% of respondents are both excited and concerned. Furthermore, more than 40% of respondents said they believed driverless automobiles will be detrimental to society. Even still, more respondents to the survey (almost 40%) thought it was a good idea to use AI to track the spread of incorrect information on social media.

AI is a blessing for increasing efficiency and productivity while also lowering the possibility of human error. However, there are some drawbacks as well, such as the expense of development and the potential for robots to take over human occupations. It’s important to remember, though, that the artificial intelligence sector has the potential to provide a variety of occupations, some of which haven’t even been imagined yet.

Importance of Artificial Intelligence

AI has a variety of applications, including speeding up vaccine research and automating fraud detection.

According to CB Insights, 2021 witnessed a record-breaking year for AI private market activity, with global funding rising 108% from the previous year. Due to its quick acceptance, artificial intelligence (AI) is creating a stir in a number of businesses.

Business Insider Intelligence found that more than half of financial services companies now use AI technologies for risk management and revenue generation in its 2022 research on AI in banking. The application of AI in banking could result in savings of up to $400 billion.

According to a 2021 World Health Organization study on medicine, despite challenges, integrating AI in the healthcare sector “has tremendous potential” since it might lead to benefits like better health policy and more accurate patient diagnosis.

AI has also impacted the entertainment industry. According to Grand View Research, the global market for AI in media and entertainment would increase from a value of $10.87 billion in 2021 to $99.48 billion by 2030. In that extension, AI applications like detecting plagiarism and creating high-definition visuals are included.

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4.Crypto Lending – An Easy Source Of Passive Income-2022

Categories
Blockchain Technology

All You Need to Know about NFTs-2022

The musician Grimes recently sold several cartoons she and her brother Mac created on the Nifty Gateway website. All were purchased in about 20 minutes, with total sales exceeding US$6 million. Some were one-of-a-kind pieces, while others were limited editions of only a few hundred.

Despite the high cost, anyone can view the movies, which feature a cherub flying over Mars, Earth, and fantastical landscapes, or (with a simple right-click) save a copy of them. The enthusiastic buyers were given a particular form of tradable certificate called a “non-fungible token,” or NFT, rather than a copy of the files itself. In reality, though, what they were paying for was the chance to sell that aura of authenticity to someone else in the future and an air of authenticity.

NFTs enable new kinds of digital goods and are a cultural response to the technical scarcity that is occurring on the internet. High art, rock music, and even new mass markets for virtual NBA trading cards are all being penetrated by them. Additionally, they are making a few people wealthy in the process.

 How does NFTs Work

NFTs

NFTs are the Digital Certificates that are used to authenticate ownership claims and permit the transfer or sale of assets. Similar to the blockchain technology that powers Bitcoin and other cryptocurrencies, the certificates are protected.

A decentralised alternative to a centralised database is a blockchain. Blockchains often hold data across a peer-to-peer network in encrypted form, making them incredibly challenging to hack into or tamper with. They are consequently advantageous for maintaining significant records.

Cryptocurrencies allow fungible trade, which means that anyone can create Bitcoins that can be exchanged for other Bitcoins. This is the primary distinction between NFTs and cryptocurrencies. NFTs are used as individual chains of ownership to track a particular item and are by definition non-fungible. NFTs are intended to reflect a distinct claim on an item and to uniquely restrict access to it.

Things start to get strange at this point. NFTs are frequently employed to assert “ownership” over digital assets like movies, JPEGs, and other digital files that are otherwise entirely copyable, pasteable, and shareable.

It might be difficult to define what authenticity and ownership actually mean online. Copying, pasting, and remixing have been the driving forces behind internet culture and the internet itself to produce new kinds of real creative work.

Technically speaking, the internet is a mechanism for quickly and publicly transferring a series of ones and zeroes from one computer to another, where they are then accessible. Online content is frequently what economists refer to as “non-rivalrous goods,” which implies that one person viewing, sharing, or remixing a file has no effect on other people’s ability to do the same.

Constant sharing generates an almost endless supply of content that may be seen, shared, copied, or remixed into new works, fostering the economies of abundance that underpin internet culture.

The foundation of TikTok is the reinvention of typical aural loops with accompanying, seemingly infinite, but distinctive visual rituals, which are then imitated in seemingly endless variants. Tweets on Twitter only have value to the extent that they are retweeted. Only insofar as Facebook’s algorithm determines that posting them would boost engagement by encouraging additional sharing does fake news exist.

Digital content’s ability to disseminate has been crucial to its survival and sustainability. Information wants to be free was the mantra of the first cyber-libertarians on the internet. In the past, stopping the dissemination of information online involved disabling technological features (like encryption) or legal frameworks (like copyright).

NFTs, on the other hand, combine code and culture to produce a type of control that doesn’t rely on breaking the law or undermining already-existing structures. They produce a particular form of “authenticity” in a society where everything is shareable.

Whats Next ?

William Gibson, a Canadian science-fiction author, famously referred to the internet as a “consensual hallucination” in which billions of people believed that the online world was real over 40 years ago. NFTs take this to the next level by creating a shared delusion that one set of ones and zeroes is superior to another set of identical ones and zeroes.

Online access to Beeple’s animation CROSSROADS is free, however the NFT that independently grants ownership of the work recently changed hands for US$6.6 million. Beeple NFTs operate by restoring a shared delusion of scarcity into an abundant reality. Since the NFT market is already valued hundreds of millions of dollars, there is no shortage of buyers. Sports trading cards, however modest, will never be identical.

Are NFTs different enough to break the internet ?

The true purpose of NFTs is to draw a distinction between common online content producers and users and those who are privileged enough to receive payment for their labour or assert ownership of “genuine” works. NFTs are attempting to regionalize cultural dissemination, whereas the internet decentralised content creation.

The exchange of fungible currency for non-fungible legitimacy is made possible by NFTs. It’s a common practise that happens in a variety of businesses and has a lengthy history in, um, art history.

Nobody can predict how the culture-code of NFTs will alter, but for the time being, it is creating a tonne of new opportunities for the exchange of new currency.

At first glance, it could appear that this gives creatives everywhere a way to get paid for otherwise plagiarised work. However, establishing normative guidelines for online content payment has not been easy up to this point. Consider the middling compensation musicians receive from streaming sites like Spotify.

Because they rely heavily on computer power to encrypt their tokens, NFTs have also come under fire for their wasteful energy usage. The calculations necessary to produce NFTs for each of Grimes’ animations, according to the CryptoArt calculator, would have produced roughly 70 tonnes of CO2 emissions and used enough electricity to boil a kettle 1.5 million times. I’m not sure if the price for future generations was factored into the current market value or any potential increase if tokens are exchanged cryptographically.

Beyond the tonnes of CO2 they emit, the actual value of NFTs lies in the way they foster a new cultural understanding of what constitutes authenticity and who is in charge of maintaining it. On the larger web, NFTs produce new systems of hierarchy, power, and exclusion. They already produced a brand-new variety of the haves and the have-nots.

Criticisms faced by NFTs 

According to Schachter, the traditional art world, which is wary of the disruption, is the source of much of the criticism of NFTs.

Simply comparing it to a currency is the first line of attack, according to Schachter. “‘It’s only money,'” What, then, is worth more money than unseen art kept in a freeport?

Others who disagree claim that viewing art should only be done in person and in museums. However, Schachter noted, “there is already specialised technology to view NFTs at your workstation. It is a standalone gadget that continuously plays your NFTs.

Yet there are many doubters.

According to Anil Dash, a businessman who writes about NFTs, the market is controlled by people who cover their desire to make money with a love of art.

Many of the same folks are buying meme stocks, Dash observed. “They don’t think GameStop will suddenly become really good at selling videogames any more than they think this terrible monkey picture is really economically valuable.”

Future of NFTs

nft

The future of NFTs is uncertain, much like that of any emerging asset class.The transaction and environmental costs that are currently associated with using cryptographic technology will eventually be dealt with by the market. Additionally, we must establish more precise legal frameworks for NFT ownership and clarify how NFTs relate to various types of ownership rights that already exist, notably those relating to intellectual property. 

However, the community-based NFT initiatives that have so far been successful offer a glimpse of potential future advances.

By enabling people to develop and rely on new kinds of ownership, NFTs enable new marketplaces. These initiatives are successful because they make use of a key feature of cryptocurrencies: a token’s value is established by the consent of all of its users. This suggests that the value of NFTs is primarily determined by the community that develops around them. And when people get more involved and incorporate these communities into their personal identities, this value is strengthened.Newer applications will feature increasingly complicated token designs and make better use of online-offline links. But it’s less startling than you may think that people are still making money by selling pictures online.

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Categories
Cryptocurrency Cryptocurrency

Crypto Lending – An Easy Source Of Passive Income-2022

Even with the same income, high inflation causes your bills to increase. With prices soaring, everyone would want to make a few extra cash to help support themselves. So , Crypto Lending could be the idea that can enable you to generate some more passive money with no effort.

There is more interest in the subject as a result of growing blockchain usage and the revival of cryptocurrencies despite numerous corrections. Many cryptocurrency entrepreneurs who require funding to launch fresh, creative ideas are drawn to this curiosity as well. Platforms for crypto lending collect resources from several small and large lenders and lend them to those who require the money. In exchange, lenders receive interest payments from the cryptocurrency they have lent out.

Additionally, individuals hang onto crypto coins and watch for price increases to benefit from them. They can, however, lend cryptocurrency and get interest on it (just like conventional banks). The crypto industry is always changing, and automated payments and escrow smart contracts have made the field much safer for new users.

What Is the Process of Crypto Lending ?

Analysis of Crypto Lending

The mechanism behind cryptocurrency lending is really simple. In actuality, it functions similarly to how conventional banks do. You can start collecting money on your cryptocurrencies after depositing your coins with a crypto lending firm. The institutional borrowers on these platforms typically take out loans against the coins you deposit. Cryptocurrency is lent by platforms like Hodlnaut to thoroughly vetted financial institutions that require financing for their operations.

You often need to register an account with such crypto lending companies and deposit your coins there in order to start earning interest. However, the majority of these crypto lending platforms require you to go through a rigorous KYC process. Holding your coins with the cryptocurrency interest-earning platforms enables you to generate a passive income stream that will allow you to maximise the value of your crypto assets. There it is, then! a quick approach to increase your cryptocurrency income.

The top 5 sites with which you can store your coins to begin generating passive income right away are listed below.

1. BlockFi

Users can deposit money into their web wallet to earn interest on it using BlockFi’s user-friendly interface. The business was established in August 2017 and is situated in New Jersey. It supports a number of other cryptocurrencies, including BTC, DOT, USDT, LTC, ETH, and BAT. The platform offers a tiered structure, with different fees depending on how much is deposited for the cryptocurrency of choice.

Mobile devices running iOS and Android can use the BlockfFi app.

Dot (Polkadot) offers the highest interest rate at 15%. Interest rates for Bitcoin can reach 3.5%. Stablecoins offer interest rates of 8.5% (for BUSD and USDT) and 8.75% (for USDC).

You can always send and receive coins from BlockFi. However, there is only one monthly interest payment. Additionally, there are no withdrawal costs for one withdrawal every month. The Gemini Trust Company, which issues GUSD, guarantees BlockFi’s funds. Check out the BlockFi review to find out more.

2. Celsius Network

If you want to get interest on your crypto assets, you should look into Celsius, another crypto lending site. In addition to supporting Bitcoin Gold, Bitcoin Cash, and other cryptocurrencies, it offers an iOS and Android app. With Celsius, you may earn stablecoins up to 8.8% APY and up to 6.2% APY. You can always add or remove coins, and the interest is paid out monthly.

The market conditions determine how the interest rates alter and fluctuate. You may always visit their website to learn more about the most recent rates. Users of the platform can also receive a greater interest rate by investing in its native CEL token coin.

3. Crypto.com

Popular cryptocurrency credit card and wallet provider Crypto.com also provides crypto financing as a service. With a 14.5% interest rate, it has the highest rate on our list.

Users can earn up to 6% APY on Bitcoin and up to 10% APY on stablecoins with their Earn programme. However, depending on how long you hold the coins and the amount you lock in, the loan rates change. The interest rates will be lower if you decide not to lock the coins on the site.

The best thing to do is to always check their official website for the most recent interest rates. Please be aware that Crypto.com currencies are not available everywhere, and citizens of Switzerland, Malta, or Hong Kong SAR are not eligible to participate in the Earn programme. Read our review of Crypto.com to find out more.

4. YouHodler 

YouHodler is an EU-based business that specialises in both currency loans and lending backed by cryptocurrencies. Both stablecoins like USDC and cryptocurrencies like Bitcoin offer interest rates.

YouHodler offers interest rates of up to 11.28% each week in the form of distributions in stablecoins and cryptocurrency. YouHodler lets you lend your cryptocurrency for up to 4.8% APY on Bitcoin and 12% APY on stablecoins (compounding). There are other 56 assets that can earn interest.

Additionally, YouHodler permits using savings as a form of security for loans. Depending on the value of your crypto assets, you can borrow money whenever you want using the YouHodler exchange. Since its start, the network has rapidly expanded and now supports a large number of cryptocurrencies as well as stablecoins. Read YouHodler’s review to discover more.

5. Hodlnaut

Hodlnaut is a website that offers services for borrowing and lending cryptocurrency. It was founded by two Singaporean Bitcoin maximalists. With Hodlnaut, users may earn up to 7.25% APY on stablecoins and up to 4.08% APY on Bitcoin. Users may sign up for their Hodlnaut Interest Account either the web app or the iOS mobile app, and the platform is quite simple to use.

Six cryptocurrencies are supported by Hodlnaut: BTC, WBTC, ETH, DAI, WBTC, USDC, and USDT. Every Monday, interest payments are made. Users can withdraw their money whenever they want, and there are no minimum deposits or lock-ins required! Additionally, a fixed deposit option exists that offers interest after maturity. There are 28 to 180 days of holding time.

Hodlnaut is a developing platform in the crypto lending industry with an AUM of $500 million at the moment. The platform now has more than 10,000 active users and more than $350 million in assets. A Trustpilot rating of 4.8 (based on 676 reviews) attests to Hodlnaut’s superior customer support. Read our Hodlnaut review for more information.

Demerits Of Crypto Lending

Downfall of crypto lending

1.You may not be able to access your funds as quickly as you would like on some loan services. This lack of liquidity can jeopardise your financial stability, particularly if too much of your capital is invested in loans and so immobile.

2. Most cryptocurrency financing is unregulated. As a result, when a platform is exposed as a sophisticated Ponzi scam, no financial regulations are there to protect your money.

3. Your lender will issue a margin call if the value of your collateral declines. Then, by a particular date, you must deposit further collateral. In the absence of payment, the lender will sell your collateral. You will suffer a loss in this scenario, but you keep the borrowed funds.

4. The high collateral requirements for cryptocurrency lending significantly raise your risk of loan default.

5. Since CeFi and DeFi’s loan services are only available online, hacker organisations frequently target them. Your money is therefore less secure than it would be in a regular bank as a result.

How Secure is Crypto Lending ?

Yes, crypto lending is generally safe because your funds are dispersed via smart contracts. These contracts are transparently auditable and verifiably secure, or at the very least, as secure as the platform that makes them available. Additionally, the strict collateral rules ensure the safety of your money anytime you lend out cryptocurrency.

There are a few exceptions, though, that we should go over. The main issue with crypto financing is that it is generally unregulated. As a result, you’re on your own if a platform-breaking bug or a malicious hacking organisation shuts down a platform through which you lend cryptocurrency. There is no regulator or organisation that can or will assist you in getting your money back. Additionally, some businesses can even lock your funds into their platforms during periods of harsh market conditions to prevent the site from going offline, as was the case with Celsius. These kinds of extreme situations can leave you up a creek without a paddle.

Conclusion

Many users have their tokens and coins dormant in several wallets. By lending them to the aforementioned services, you may put them to work for you rather than keeping them in your wallets and waiting for their value to rise. To protect your crypto funds, choose a platform that provides high interest rates and adheres to all security best practises.

However, you must always conduct adequate research before putting your coins into a crypto loan site. Before investing to increase your cryptocurrency assets by lending them, make sure the platform you choose is accessible in your nation and that you have thoroughly read the terms and conditions.

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