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Artificial intelligence isn’t all about the Terminator, tech sceptics are warned – Mirror Online

Arnold Schwarzeneggers Terminator character is a top example of artificial intelligence, according to nearly one-in-five confused Britons.

Some 19% believed Arnie's cyborg assassin from the 1984 blockbuster film was a prime illustration of the technology.

The revelation stands in stark contrast to Prime Minister Boris Johnson's claim in a speech last week that Britain could lead the world in AI.

A survey carried out into people's understanding of artificial intelligence lays bare how much work remains to be done.

In the hit I'll be back science-fiction movie, the T-800 Terminator is sent back in time from 2029 to 1984 to kill Sarah Connor, played by Linda Hamilton.

Her son will one day become a saviour against machines in a post-apocalyptic future and needs to be destroyed.

AI pioneer Yoshua Bengio told the BBC in October 2019 he was not a fan of the Terminator films.

"They paint a picture which is really not coherent with the current understanding of how AI systems are built today and in the foreseeable future," he said.

"We are very far from super-intelligent AI systems and there may even be fundamental obstacles to get much beyond human intelligence."

But for 19% Britons, the film is a chilling demonstration of what AI can offer.

The reality is more useful predictive texting on mobile phones uses AI, as do apps like Uber and Google Maps.

However, just 41% of people questioned believed they had encountered AI in the past three months.

Researchers uncovered big gender gaps, with 69% of women saying they did not know when they last encountered AI if they ever had.

Some 51% of men thought they had used it in the past 12 weeks.

The online Populus study of 1,093 adults was carried out for communications agency Zinc Network.

Executive director Louis Brooke said: The Government has laid out an ambitious agenda for AI, seeking to turn the UK into a world leader in this area.

AI will play a vital role in helping the UK exit lockdown and overhauling health, education, travel and the workplace.

"Yet this data shows public understanding of AI is chronically low, particularly amongst women.

"For the public to buy into new uses for AI technologies, it will be vital to ensure that innovations are well understood, and benefit those who may be the most sceptical.

Some of those quizzed readily understood the technology, saying they thought it included any sort of robot that can react to its surroundings and doesn't need programming and chat bots used by companies to deal with customer service queries.

But others were more fearful of AI's potential to oust humans from the workplace.

One described it as work done by machines replacing humans and another as creepy Japanese humanoids.

Others totally missed the point, according to researchers, with responses including artificial insemination, as with cows and other animals for breeding and aliens.

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How Machine Learning Will Impact the Future of Software Development and Testing – ReadWrite

Machine learning (ML) and artificial intelligence (AI) are frequently imagined to be the gateways to a futuristic world in which robots interact with us like people and computers can become smarter than humans in every way. But of course, machine learning is already being employed in millions of applications around the worldand its already starting to shape how we live and work, often in ways that go unseen. And while these technologies have been likened to destructive bots or blamed for artificial panic-induction, they are helping in vast ways from software to biotech.

Some of the sexier applications of machine learning are in emerging technologies like self-driving cars; thanks to ML, automated driving software can not only self-improve through millions of simulations, it can also adapt on the fly if faced with new circumstances while driving. But ML is possibly even more important in fields like software testing, which are universally employed and used for millions of other technologies.

So how exactly does machine learning affect the world of software development and testing, and what does the future of these interactions look like?

A Briefer on Machine Learning and Artificial Intelligence

First, lets explain the difference between ML and AI, since these technologies are related, but often confused with each other. Machine learning refers to a system of algorithms that are designed to help a computer improve automatically through the course of experience. In other words, through machine learning, a function (like facial recognition, or driving, or speech-to-text) can get better and better through ongoing testing and refinement; to the outside observer, the system looks like its learning.

AI is considered an intelligence demonstrated by a machine, and it often uses ML as its foundation. Its possible to have a ML system without demonstrating AI, but its hard to have AI without ML.

The Importance of Software Testing

Now, lets take a look at software testinga crucial element of the software development process, and arguably, the most important. Software testing is designed to make sure the product is functioning as intended, and in most cases, its a process that plays out many times over the course of development, before the product is actually finished.

Through software testing, you can proactively identify bugs and other flaws before they become a real problem, and correct them. You can also evaluate a products capacity, using tests to evaluate its speed and performance under a variety of different situations. Ultimately, this results in a better, more reliable productand lower maintenance costs over the products lifetime.

Attempting to deliver a software product without complete testing would be akin to building a large structure devoid of a true foundation. In fact, it is estimated that the cost of post software delivery can 4-5x the overall cost of the project itself when proper testing has not been fully implemented. When it comes to software development, failing to test is failing to plan.

How Machine Learning Is Reshaping Software Testing

Here, we can combine the two. How is machine learning reshaping the world of software development and testing for the better?

The simple answer is that ML is already being used by software testers to automate and improve the testing process. Its typically used in combination with the agile methodology, which puts an emphasis on continuous delivery and incremental, iterative developmentrather than building an entire product all at once. Its one of the reasons, I have argued that the future of agile and scrum methodologies involve a great deal of machine learning and artificial intelligence.

Machine learning can improve software testing in many ways:

While cognitive computing holds the promise of further automating a mundane, but hugely important process, difficulties remain. We are nowhere near the level of process automation acuity required for full-blown automation. Even in todays best software testing environments, machine learning aids in batch processing bundled code-sets, allowing for testing and resolving issues with large data without the need to decouple, except in instances when errors occur. And, even when errors do occur, the structured ML will alert the user who can mark the issue for future machine or human amendments and continue its automated testing processes.

Already, ML-based software testing is improving consistency, reducing errors, saving time, and all the while, lowering costs. As it becomes more advanced, its going to reshape the field of software testing in new and even more innovative ways. But, the critical piece there is going to. While we are not yet there, we expect the next decade will continue to improve how software developers iterate toward a finished process in record time. Its only one reason the future of software development will not be nearly as custom as it once was.

Nate Nead is the CEO of SEO.co/; a full-service SEO company and DEV.co/; a custom web and software development business. For over a decade Nate had provided strategic guidance on technology and marketing solutions for some of the most well-known online brands. He and his team advise Fortune 500 and SMB clients on software, development and online marketing. Nate and his team are based in Seattle, Washington and West Palm Beach, Florida.

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Artificial Intelligence (AI) In Construction Market Growth By Manufacturers, Type And Application, Forecast To 2026 – 3rd Watch News

New Jersey, United States,- Market Research Intellect sheds light on the market scope, potential, and performance perspective of the Global Artificial Intelligence (AI) In Construction Market by carrying out an extensive market analysis. Pivotal market aspects like market trends, the shift in customer preferences, fluctuating consumption, cost volatility, the product range available in the market, growth rate, drivers and constraints, financial standing, and challenges existing in the market are comprehensively evaluated to deduce their impact on the growth of the market in the coming years. The report also gives an industry-wide competitive analysis, highlighting the different market segments, individual market share of leading players, and the contemporary market scenario and the most vital elements to study while assessing the global Artificial Intelligence (AI) In Construction market.

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Leading Artificial Intelligence (AI) In Construction manufacturers/companies operating at both regional and global levels:

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This study analyzes the growth of Artificial Intelligence (AI) In Construction based on the present, past and futuristic data and will render complete information about the Artificial Intelligence (AI) In Construction industry to the market-leading industry players that will guide the direction of the Artificial Intelligence (AI) In Construction market through the forecast period. All of these players are analyzed in detail so as to get details concerning their recent announcements and partnerships, product/services, and investment strategies, among others.

Sales Forecast:

The report contains historical revenue and volume that backing information about the market capacity, and it helps to evaluate conjecture numbers for key areas in the Artificial Intelligence (AI) In Construction market. Additionally, it includes a share of each segment of the Artificial Intelligence (AI) In Construction market, giving methodical information about types and applications of the market.

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Nearly $60M in Bitcoin Moved to Ethereum in June – CoinDesk – CoinDesk

Nearly $60 million worth of bitcoins moved to Ethereum during June, according to data estimates from Dune Analytics. Wrapped Bitcoin, the oldest tokenized bitcoin protocol on Ethereum, is responsible for roughly 75% of that growth after moving more than 4,800 BTC to Ethereum last month.

Demand has increased for using bitcoin in a variety of decentralized financial services as Ethereum continues to be the most popular off-chain destination for bitcoins. More specifically, yield farming and MakerDAO adding tokenized bitcoin as collateral are likely strong catalysts, said Medio Demarco, former associate at Deutsche Bank and co-founder of cryptocurrency research firm Delphi Digital.

The recent trend shouldnt come as a surprise and will probably continue, Demarco told CoinDesk.

The increasing popularity of tokenized bitcoin is also no surprise to Ben Chan, CTO at BitGo, the cryptocurrency payments processor that spearheaded Wrapped Bitcoin. The purpose of WBTC is to bring bitcoin to the world of decentralized finance, Chan said. Yield opportunities for lending and supplying WBTC in Ethereum-based applications are driving recent growth, he added.

Currently $132 million worth of bitcoin is on Ethereum, at the time of publication, or roughly 0.08% of the leading cryptocurrencys market capitalization, according to OnChainFX.

Is the growing demand to use bitcoin on Ethereum a positive signal for the leading cryptocurrency? According to Demarco, the trend has a synergistic effect for both blockchains.

Chan agreed, telling CoinDesk that, for Ethereum, growth in the value of assets on decentralized finance applications is a step towards the maturation of trustless and transparent financial services. For Bitcoin, the benefit comes from being able to earn yield and collateralize bitcoin, which adds incentive for users to invest in the cryptocurrency, according to Chan.

Using bitcoin on Ethereum is potentially bullish for both networks, Chan said.

The leader in blockchain news, CoinDesk is a media outlet that strives for the highest journalistic standards and abides by a strict set of editorial policies. CoinDesk is an independent operating subsidiary of Digital Currency Group, which invests in cryptocurrencies and blockchain startups.

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Nearly $60M in Bitcoin Moved to Ethereum in June - CoinDesk - CoinDesk

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The Three Most Controversial Bitcoin Price Models and What They Predict – Cointelegraph

There are several well-known Bitcoin price models and theories that are often highly debated and considered controversial. Models like stock-to-flow, Hyperwave and Elliot Wave typically predict large price movements in the medium- to long-term.

The first and most widely acknowledged Bitcoin price model is stock-to-flow. The S2F model predicts the long-term trend of Bitcoins value based on its scarcity. Since Bitcoin has a fixed monetary supply, the biggest value proposition of the dominant cryptocurrency is its scarcity and the reducing supply of BTC.

The model takes the stock-to-flow of gold and silver as its benchmark. The term stock-to-flow refers to the flow of new supply relative to the amount of existing circulating supply. The model believes the value of gold held up over time because it is not possible to newly create all of the circulating supply of gold to render the precious metal worthless.

Unlike gold and silver, the supply of Bitcoin is fixed, and every halving decreases the rate of supply production. As such, in theory, Bitcoin is even more scarce than gold and silver. The model predicts the market capitalization of Bitcoin to exceed $1 trillion after the May 2020 halving. The prediction goes in line with the performance of Bitcoin following previous halvings in 2012 and 2016. PlanB, the creator of the model, explained:

The predicted market value for Bitcoin after May 2020 halving is $1trn, which translates in a Bitcoin price of $55,000. That is quite spectacular. I guess time will tell and we will probably know one or two years after the halving.

The main criticism around stock-to-flow comes down to two main arguments. First, some say the assumption that golds value derives solely from scarcity is inaccurate. Second, others think that the use of linear regression might lead to imprecise predictions. Nico Cordeiro, the chief investment officer at Strix Leviathan crypto hedge fund, wrote:

From a theoretical foundation, the model is based on the rather strong assertion that the USD market capitalization of a monetary good (e.g. gold and silver) is derived directly from their rate of new supply. No evidence or research is provided to support this idea, other than the singular data points selected to chart gold and silvers market capitalization against Bitcoins trajectory.

Cordeiro also argued that the use of linear regression to chart the S2F model poses a high probability of spurious results. The investor said that many random data points can be fit into the model as a result of the regression.

But, it is difficult to state that the S2F model is correct or flawed, because there is not enough data to definitively reject the predictions made by the model. As an example, evidence is lacking to support that the value of gold is dependent on its scarcity. Yet, it is also challenging to prove that scarcity has not been the main catalyst of golds longevity as a store of value.

The Elliott Wave Theory is widely utilized by technical analysts to determine market cycles. It spots both bearish and bullish cycles, by assuming that the market moves based on crowd psychology. Typically, the Elliott Wave Theory is applied in many bearish scenarios. It presents an eight-part move, where the price of the asset declines on a level-by-level basis.

The Elliott Wave Theory is often criticized because it is considered to be highly subjective. It also assumes that the market follows the same crowd psychology across varying time frames. As such, it frequently leads to extreme price predictions for both bearish and bullish scenarios.

A report on the Elliott Wave Theory by Binance Academy reads:Critics argue that the Elliott Wave Theory isnt a legitimate theory due to its highly subjective nature, and relies on a loosely defined set of rules. However, it also makes note that, There are thousands of successful investors and traders that have managed to apply Elliotts principles in a profitable manner.

The Elliott Wave Theory is not a specific technical pattern or market structure. It is a principle that can be adopted by traders on how they see fit, depending on the price trend of an asset at a certain time. It is difficult to establish that the Elliott Wave Theory is inaccurate or flawed, because it does not set specific targets. It is up to traders and technical analysts that adopt the principle to assess crowd psychology of a certain market.

The Hyperwave Theory, popularized within the cryptocurrency market by a well-established trader, Tone Vays, determines the formation of a potential bubble in the market. It is a seven-part market cycle that spots a bearish trend reversal typically at a peak. The Hyperwave structure is similar to the Elliott Wave principle, but it only pertains to bearish scenarios.

Hyperwave-based price predictions are often controversial because they assume the peak of an asset has been hit. Consequently, it often leads to extreme predictions, calling for an 80% to 90% drop from a local top. For instance, Vays said that he used the Hyperwave Theory in early 2018 to call for a price target of $1,500. Over the next year and a half, the price of Bitcoin dropped from around $18,000 to $3,100.

Referring to the Hyperwave Theory, Vays said: I was off by 12%. That was my margin of error. When I called $1,500 (from the January 2018 top), I was only off by 12% on the low of the bear market.

In a recent discussion about the Hyperwave Theory, Vays said that the model is still calling for a $1,000 price point for Bitcoin. But Vays emphasized that it does not mean he is waiting for BTC to drop to the $1,000s, suggesting that it is merely a theory and a point of reference. Vays noted:

I dont know why people think I am still waiting for $1,200 or $1,500. That is a ridiculous view. People seem to be very confused. And for some reason, people seem to be very upset that when I said Bitcoin has a high probability of going to $1,500, I said it when Bitcoin was here [at a record high].

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The Three Most Controversial Bitcoin Price Models and What They Predict - Cointelegraph

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Trumps Former Sanctions Chief Joins Bitcoin Investigation Firm Advisory Board As Part Of Expanded $49 Million Investment – Forbes

Sigal Mandelker, then-U.S. Treasury undersecretary for terrorism and financial intelligence, speaks ... [+] during a 2018 conference on cyber law enforcement at the Department of Justice in Washington, D.C. The U.S. Justice Department charged nine Iranian citizens with hacking hundreds of companies and academic institutions to steal more than $3.4 billion in trade secrets and other data on behalf of the Islamic Revolutionary Guard Corps.

U.S. President Donald Trumps former Treasury under secretary for terrorism and financial intelligence, Sigal Mandelker, has revealed her first project since leaving Trumps Treasury and joining venture firm Ribbit Capital earlier this year. In addition to joining the expanded $49 million Series B in cryptocurrency investigation startup Chainalysis, Mandelker will work on the startups board of advisors.

Mandelkers firm and actor-turned investor Ashton Kutchers Sound Ventures participated in a $13 million extension to the previously announced Series B, as part of a larger push at the startup to deepen its government relationships and focus on using transactions paid for in bitcoin and other cryptocurrencies to track human rights abuses and other illicit activity. Cryptocurrency use for illicit purposes more than doubled to $11.5 billion in 2019, still only accounting for little more than 1% of the total transactions.

While the investment is doubly-notable in that it is both Mandelkers first public work since leaving the Treasury Department, and it is in a company that works with bitcoin, ethereum, XRP and 96 other cryptocurrencies, it is also notable for the continuation of an increasingly clear trend of influential regulators joining the cryptocurrency companies they once oversaw. Former deputy assistant to U.S. President George W. Bush, Juan Zarate, joined another Ribbit portfolio company, Coinbases advisory board in 2014; former chairman of the influential New York Department of Financial Services, Ben Lawsky joined Stone Ridge Asset Management LLC, a $15 billion advisor with ties to multiple bitcoin funds in 2017; and most recently the law firm of the former chairman of the U.S. Commodity Futures Trading Commission, Chris Giancarlo, was hired by Ripple this year.

As part of the investment, which values the company at less than $1 billion, Mandelker, 48, will meet with the Chainalysis team on an as-needed basis to share with them insights gleaned from her own past experience investigating crime that relies on blockchain, and to help them build out new partnerships in both the public and private sectors. The fact that they're building relationships, terrific relationships, both with financial institutions and with the government sector, including with law enforcement, is going to be really important for the future of this industry, says Mandelker.

Born in Chicago, in 1971, Mandelker earned a Bachelors Degree from the University of Michigan and a Juris Doctorate from the University of Pennsylvania Law School, before serving as a law clerk to Supreme Court Justice Clarence Thomas. After six years working at various government agencies, she moved to the private sector as a partner at law firm Proskauer Rose LLP.

Then, in March 2017, Trump appointed Mandelker as Treasury under secretary where she oversaw the U.S. Financial Crimes Enforcement Network (FinCEN), the Office of Foreign Assets Control, (OFAC), the Office of Terrorist Financing and Financial Crimes, and the Treasurys Office of Intelligence and Analysis, which identifies and maps illicit transaction networks.

Mandelker had her first big success using digital currencies to trace illicit activities in 2008, when a Department of Justice team she led helped convict the directors of pre-blockchain digital currency company, E-Gold for their role helping launder funds used to buy child pornography and more. In September 2019, Mandelker made one of her biggest cryptocurrency investigation breaks with the announcement of sanctions against three hacker groups that helped the North Korean government steal and launder billions of dollars in cryptocurrency funds.

Mandelker says she first met Ribbit cofounder Micky Malka earlier this year. Malka sold his first company, a digital wallet called Lemon in 2013 for $46 million, using the funds to become an early investor in bitcoin startups, Coinbase, Robinhood and Xapo. The two hit it off, bonding in part over both having immediate family who survived the holocaust and their desire to fight injustice in the world, she says. She was officially brought onboard in April as a general partner.

In addition to her role helping build relationships as an advisor to Chainalysis, Mandelker will focus on a more full-time basis helping Ribbit identify new investment opportunities, answering regulatory questions for other portfolio companies, and looking for new ways to connect regulators with a wide range of financial technology, thinking through how to help build bridges between the fintech world and the regulator community, whether it's here or abroad, she says.

The New York-based company has now raised a total of about $66 million, from investors including Accel, Benchmark and Digital Currency Group, employs 158 people, and has 295 clients, including the Bank of Montreal and the U.S. Internal Revenue Service, which is managed by Mandelkers former employer, the U.S. Department of Treasury, through a different department.

The company isnt revealing its most recent revenue, though in 2018, it generated $8 million selling services to investigators looking into cryptocurrency transactions and companies looking to ensure they comply with anti-money-laundering and know your customer requirements, enough to land it a place on the Forbes Next Billion-Dollar Startups list. Though the company isnt revealing the terms of the investment, CEO Michael Gronager says they havent quite achieved that milestone yet. We'll work hard to get there pretty soon, he says.

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Bitcoin Undo Button & Fleeing Firms: Bad Crypto News of the Week – Cointelegraph

Maybe its time to start talking about boring Bitcoin. The dollar price has moved barely half a percentage point over the last week, remaining around the $9,200 mark. Bitcoins holders, though, dont expect the coin to remain a boring store of value forever. A survey by Bitcoin IRA found that 42 percent of the crypto custodians customers expect the price to reach $15,000 by the end of the year. Even that might not prompt sales though. Some 57 percent said they were holding for the long term.

Those optimists might be wrong, though. SteveCrypt0, a popular trader, has suggested that Bitcoin could fall to $6,000 though it would still remain bullish.

Of course, SteveCrypt0 could be wrong and he wouldnt be the only one to make a mistake. A survey has found that 55 percent of respondents have made errors when sending cryptocurrency, and 18 percent have lost funds that way. An Israeli blockchain startup has a solution. Its created a kind of undo button for crypto transfers. (Its a confirmation code).

An undo button might be useful in Russia at the moment. A court in that country has ruled that thieves who kidnapped someone and forced him to send them 99.7 BTC dont have to pay back the Bitcoins. Digital currency isnt property, the judge ruled.

Its not just Russia thats producing strange rules though. US senators are trying to pass a law that will give law enforcement access to encrypted data. It requires manufacturers to include a backdoor that will enable them to decrypt information.

Other countries are doing better. In China, the municipal government of Beijing has released a 20-point plan to make the Chinese capital a global hub for blockchain technologies. In India, a decision by the Supreme Court to reverse laws stopping banks from serving crypto traders and businesses has led to a surge of activity from the countrys crypto app developers.

But its not all good news. After trailblazing the development of blockchain technology, Estonia is grappling with the effects of the European Unions new Know Your Customer laws. Firms are fleeing.

Fortunately, their flights might be easier to book soon. Travel firms are rolling out more blockchain-based experiments and pilot projects to make travel cheaper and more efficient. Those moves come as analytics tools from the Big Four accountancy firms promise to make cryptotrading easier for institutional investors.

And finally, if you ever wanted to see crypto forecaster Mati Greenspan in red lycra and white underpants, heres your chance. Greenspan is Forecaster in the Bad Crypto Podcasts Blockchain Heroes set of digital trading cards. Who said Bitcoin was boring?

Check out the audio version here:

Joel Comm is an internet pioneer, New York Times best-selling author, futurist speaker and co-host of The Bad Crypto Podcast. Thats a fancy way of saying he writes words, says things and loves to play with cryptos

The views, thoughts and opinions expressed here are the authors alone and do not necessarily reflect or represent the views and opinions of Cointelegraph.

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Bitcoin Undo Button & Fleeing Firms: Bad Crypto News of the Week - Cointelegraph

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Bitcoin Up 27% in First Half of 2020, Beating Gold, Silver and Platinum – CoinDesk – CoinDesk

Bitcoin showed its luster during the first half of 2020 by rallying more than 27% percent amid mediocre returns from precious metals including gold, silver and platinum.

Gold underperformed bitcoin by nearly 11 percentage points despite gaining 16 percent in the first half of 2020 and making eight-year highs in late June. Silver and platinum both finished the first half of 2020 with negative gains.

Bitcoins strong performance is no shock to some analysts, especially in context of the benchmark cryptocurrencys increasing correlation with equity markets. Given that equities are now near, or in some cases above, their highs reached in February, its not surprising to see bitcoin do the same, said Ryan Watkins, bitcoin analyst at Messari.

Why compare returns from bitcoin to gold or other precious metals? Gold is bitcoins most aspirational asset, explained Watkins. Like bitcoin, gold is a scarce commodity whose value is derived almost entirely from its monetary premium.

Unlike gold, however, bitcoin investors have historically experienced more extreme volatility. Silver and platinum were also much more volatile than gold through the first half of 2020.

Bitcoin and gold could be seen more like complementary investments than competitives ones based on their performance over the past six months, said David Lifchitz, managing partner at Paris-based quantitative cryptocurrency trading firm ExoAlpha. Given bitcoins historic volatility, holding digital and physical gold together could provide a better risk-return profile than holding either of them individually, said Lifchitz.

Investors typically adjust their portfolios based on the amount of risk required to achieve a certain return. Increased returns often bring with it higher volatility or risk. Depending on how assets correlate, though, a properly weighted portfolio can achieve a higher expected return with a lower level of risk than would be found in a portfolio containing just one asset.

Investing in bitcoin and the less-volatile gold during the first half of 2020 could have reduced an investors risk without sacrificing returns, Lifchitz told CoinDesk. Equal investments in gold and bitcoin, for example, could have more or less matched returns from an investment only in bitcoin while suffering less of a drawdown in March, Lifchitz explained.

But risk-adjusted returns from bitcoin and gold over the last six months may not hold true going forward, said Lifchitz. For one thing, the cryptocurrency market has grown eerily quiet over the past few weeks as bitcoins volatility has plummeted.

A Bloomberg July report on bitcoin noted bitcoins 260-day volatility is at the lowest versus the same gold-risk measure since the crypto assets parabolic 2017 rally. Senior commodity strategist Mike McGlone, who authored the report, said, Volatility should continue declining as bitcoin extends its transition to the crypto equivalent of gold from a highly speculative asset.

Bitcoins dropping volatility to historic lows could quickly change directions, however. McGlone described bitcoin as a resting bull ready for a breakout, adding, We expect recent compression to be resolved via higher prices.

The leader in blockchain news, CoinDesk is a media outlet that strives for the highest journalistic standards and abides by a strict set of editorial policies. CoinDesk is an independent operating subsidiary of Digital Currency Group, which invests in cryptocurrencies and blockchain startups.

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Bitcoin Up 27% in First Half of 2020, Beating Gold, Silver and Platinum - CoinDesk - CoinDesk

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The Popular Stablecoin Tether Is Now Circulating on the Bitcoin Cash Network – Bitcoin News

The most popular stablecoin tether (USDT) has officially been minted on the Bitcoin Cash blockchain via the Simple Ledger Protocol (SLP). At press time theres only 1,010 SLP-based USDT in circulation, as the firm Tether Limited seems to be issuing small amounts and testing the SLP framework.

Tether (USDT) is the king of stablecoins in the crypto economy and according to the companys transparency page, there are more than $9.8 billion tethers in existence.

The stablecoin is a token that is also hosted on a number of blockchains including the Ethereum network, Omni Layer, Algorand, Tron, Liquid, and the EOS chain. Not too long ago, news.Bitcoin.com revealed that tether (USDT) was migrating some coins over to the Bitcoin Cash (BCH) blockchain via the Simple Ledger Protocol.

Tether Limiteds transparency page now shows that the company has been minting and testing the SLP framework. The data website simpleledger.info shows that the Tether team has officially minted 3,027 USDTs so far on the BCH chain.

However, 2,017 SLP-based USDT tokens have been burned, which only leaves 1,010 SLP-based USDT in circulation at the time of publication. A thousand dollars worth of stablecoins is not much, but Bitcoin Cash proponents believe that the company is simply trialing the SLP infrastructure.

Simpleledger.info also shows that the baton is alive, which means USDTs can be minted at any time. The genesis of the SLP-based USDT shows that the tokens were born on May 25, 2020. Searching the term tether in the simpleledger.info database also shows there is a number of phony tethers people have created since the SLP network came out.

The official USDT token ID is shown at Tether Limiteds official website, alongside the balances of tether on other blockchains. Theres been a total of 50 SLP-based USDT transactions so far on the Bitcoin Cash blockchain.

The SLP-based USDT rich list shows that this address has the most stablecoins with a balance of 874.14 USDT at the time of publication. The rest of the coins in circulation are spread out through a number of different addresses.

The largest amount of USDTs on any blockchain is held on ETH with $6 billion in ERC20-based tethers to-date. Of course, Bitcoin Cash fans were both pleased and skeptical about the appearance of USDTs on BCH.

On the subreddit r/btc, BCH fans discussed the recently issued SLP-based USDT on the forum. On July 7, Sideshift.ai announced that the Bitcoin Cash version of USDT is now live on the swapping platform.

BCH proponents also discussed holding USDTs on the Bitcoin.com Wallet thanks to the recently added asset breakdown and stablecoin features. On Twitter, the Sideshift team wrote: Be one of the first humans to shift USDT on SLP.

What do you think about tether (USDT) being minted on the Bitcoin Cash chain? Let us know what you think in the comments section below.

Image Credits: Shutterstock, Pixabay, Wiki Commons, Tether, Simpleledger.info, Twitter, Sideshift.ai,

Disclaimer: This article is for informational purposes only. It is not a direct offer or solicitation of an offer to buy or sell, or a recommendation or endorsement of any products, services, or companies. Bitcoin.com does not provide investment, tax, legal, or accounting advice. Neither the company nor the author is responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in this article.

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Demand for Bitcoin Will See a Dramatic Shift in 8 Years – Retail Investors to Eat up Entire New Supply | Economics – Bitcoin News

A recent report from ZUBR Research explains that by 2028, retail demand for bitcoin will exceed the new supply. The report highlights that in eight years as Bitcoins supply rate decreases retail size addresses [will] begin to eat up all the new supply alone. Even the next halving in 2024 could see retail accounting for acquiring 50% of the bitcoins in circulation.

Not too long ago, cryptocurrency proponents witnessed the Bitcoin (BTC) networks third halving, which cut the block reward by 50% on May 11, 2020. Just before the third BTC halving, the active supply issuance or inflation rate was around 3.8%.

Today that number is steadily dropping and at the time of publication, BTCs inflation rate is 3.51%. On June 29, a research report published by ZUBR Research details that in eight years, retail demand will outshine the rate of issuance by a long shot.

The study called Retail Investors Steady in Physical Bitcoin Snatch-Up explains how the BTC network has entered the next reward era. With 90% of all Bitcoins already mined, the remaining supply is estimated to take nearly 120 years to come to market, ZUBR wrote. This figure the remaining 10% taking another 120 years shows just how scarce the cryptocurrency already is.

In time one of the great burdens will be liquidity and physical Bitcoins become harder to come by. The researchers findings also indicate that Covid-19 gave crypto proponents a glimpse at some potential scenarios. ZUBR Research also discussed the question of whether Bitcoin is a better version of gold or not.

The study says that investors will have to weigh this decision as demand has moved in decline for gold further extending that gap available on the market during the Covid-19 crisis. No doubt, Bitcoin saw strong demand in the wake of the coronavirus pandemic. The demand was similarly witnessed for gold, the report highlights.

ZUBR researchers add:

There is a very critical difference to gold, however. Bitcoin supply constraints will not be a result caused by black swan events (such as the global COVID-19 lockdown that shut-in mines), but the permanent perpetual nature of the store-of-value cryptocurrency that is designed to cut off new supply.

The study notes that the researchers leveraged data from the analytics firm Chainalysis. ZUBR predicts that retail demand will continue to grow this year and by 2028 the demand will be far greater than issuance.

Just like with gold markets, the demand for bitcoin while remaining scarce could send the price of BTC sky high. The next halving will sill a lot of retail and investor demand but the fifth halving will see uncontrollable buying pressure.

Extrapolating future demand at this pace points to a very dramatic shift in 2028 when Bitcoins supply rate further decreases and these retail size addresses begin to eat up all the new supply alone, ZUBR estimates. By the time the next reward era comes around in 2024, retail could potentially account for eating up over 50% of the physical supply, the researchers added.

The paper concludes by stressing:

With retail [investors] gunning hard, these supply constraints might come sooner rather than later should growth in demand from smaller investors remain as steady as it has in the past half-decade.

What do you think about the theory that retail demand will outshine bitcoin issuance in eight years? Let us know what you think about this subject in the comments section below.

Image Credits: Shutterstock, Pixabay, Wiki Commons, ZUBR Research

Disclaimer: This article is for informational purposes only. It is not a direct offer or solicitation of an offer to buy or sell, or a recommendation or endorsement of any products, services, or companies. Bitcoin.com does not provide investment, tax, legal, or accounting advice. Neither the company nor the author is responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in this article.

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Demand for Bitcoin Will See a Dramatic Shift in 8 Years - Retail Investors to Eat up Entire New Supply | Economics - Bitcoin News

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