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 virtual currency


Does video game monetisation harm children – and what is Australia doing about it?

The Guardian

Over the last decade, Dean has amassed a healthy collection of video games, from smash hits to cult classics. His digital library is like a modern day Blockbuster, all readily accessible with just a click or two. But his son, Sam, has eyes for only one video game: Roblox, the behemoth virtual universe-slash-video game that's among the most popular on the planet. The company reports that more than 97 million people log on to Roblox every day. Around 40% of those are, like Sam, under 13 years of age.


The Government Wants to Protect Robux From Hackers

WIRED

The Consumer Financial Protection Bureau proposed a new measure on Friday that could protect your Robux from scammers and hackers. The proposed rule would interpret terms in the Electronic Fund Transfer Act, or EFTA, which has traditionally been used to protect consumers from unauthorized debit transactions, to include some virtual currencies supplied by gaming and cryptocurrency companies. "Gamers--or in some cases their parents and guardians--have reported issues such as trouble when converting dollars to in-game currency, unauthorized transactions, account hacks and takeovers, theft, scams, and loss of assets," reads the CFPB's post announcing the proposal. "They have also described receiving limited to no help from gaming companies and the banks or digital wallets involved. Refunds are often denied, people are finding their gaming accounts suspended by the video game company after a player tries to get a refund from their financial institution, or people are left caught in doom loops with AI-powered customer service representatives while they're just trying to get straight answers."


Meta's BlenderBot 3 wants to chat – but can you trust it?

The Guardian

Last week, researchers at Facebook's parent company Meta released BlenderBot 3, a "publicly available chatbot that improves its skills and safety over time". The chatbot is built on top of Meta's OPT-175B language model, effectively the company's white-label version of the more famous GPT-3 AI. Like most state-of-the-art AIs these days, that was trained on a vast corpus of text scraped from the internet in questionable ways, and poured into a datacentre with thousands of expensive chips that turned the text into something approaching coherence. But where OPT-175B is a general-purpose textbot, able to do anything from write fiction and answer questions to generate spam emails, BlenderBot 3 is a narrower project: it can have a conversation with you. That focus allows it to bring in other expertise, though, and one of Meta's most significant successes is hooking the language model up to the broader internet.


Using Machine Learning To Predict The Futures of Cryptocurrencies

#artificialintelligence

As of today, many of our everyday activities are conducted virtually, for instance, attending class, working from home, even buying a car or house can be completed virtually. As we are shifting towards a world where we can do many significant things virtually, It has completely changed the way we think and conduct our everyday lives. Virtual currency has also made its mark in our lives. Debit/Credit cards being the first virtual currency has only paved the path for the future of virtual currency. That's where Cryptocurrency comes in.


9 Technologies That Can Change The World By 2021

#artificialintelligence

São Paulo – The technology has evolved so fast that in 2012, whoever did a search on Google used all the computational power that made it possible for NASA astronauts to go to the Moon in 1969. More technologies like this can change the world in coming years, according to Totvs, one of the largest providers of management software solutions and productivity platforms. In the view of Vicente Goetten, director of Totvs Labs, the research laboratory of Totvs, technology still evolves following the concepts of Moore's law, that is, exponentially. For this reason, its advance causes some phenomena, such as an initial disillusionment of the public with news in the embryonic phase; the digitization of processes; disruption (when a technology replaces an old method); dematerialization (for example, the exchange of MP3 players for cell phones); demonetization, such as that caused by WhatsApp in relation to SMS; and, finally, democratization. Totvs Labs released a list of eight technologies that can change the world by 2021.


Forget bitcoin! I think artificial intelligence could be the next big growth sector

#artificialintelligence

As ever, investors are always looking for the next big thing. In the last couple of years, there has been a considerable amount of interest in bitcoin. The virtual currency has increased significantly in value, but has also been exceptionally volatile. Some investors may have generated high returns from buying the cryptocurrency, while others are likely to have lost money after its decline from almost $20,000 in December 2017 to around $5,500 today. However, with bitcoin seeming to lack real-world potential in terms of its application, its appeal could be relatively limited over the long term.


The Digital Transformation – watch the rug you are standing on! – Marketing – Sales – Strategy

#artificialintelligence

Digital technology adoption appeared to be optional for decades in many industries, but no more. In fact, if your job does not require a substantial amount of creativity, deriving complex conclusions or physically moving things, you have every reason to check your back. So, what is different today? A number of factors come together to accelerate the current situation from slower evolutionary speed to faster revolutionary velocity. While in the first technical transition from analogue signal transmission to digital, the digitization, distance or reproduction did not mean a degradation in quality any longer. Digital telephone lines, music CDs or slower data transfers allowed the dissemination of information over long distances or without a decrease in quality.


Central Banking and Fintech--A Brave New World?

#artificialintelligence

Thank you, Mark [Carney], for that kind introduction, and thank you to the Bank of England for inviting me to this wonderful event. This is a moment to celebrate 20 years of independence during which the Bank of England has been a stabilizing force for the U.K. economy, inspiring others in the world of central banking--not least because of your guidance, Mark. This is also a moment to learn from our experiences, build on the progress made so far, and look into the future--to the next 20 years--as our journey continues. This morning, I came up Fleet Street, which always feels like a journey through history. In the Middle Ages, that street was an important center of commerce, much of which has now moved online. By the 19th century, the street was home to ticker machines and reporters racing each other to make the evening papers.


Rogue gaming sites let children gamble hundreds of millions

The Independent - Tech

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display


Detecting Real Money Traders in MMORPG by Using Trading Network

Fujita, Atsushi (Future University Hakodate) | Itsuki, Hiroshi (Future University Hakodate) | Matsubara, Hitoshi (Future University Hakodate)

AAAI Conferences

We have developed a method for detecting real money traders (RMTers) to support the operators of massively multiplayer online role-playing games (MMORPGs). RMTers, who earn currency in the real world by selling properties in the virtual world, tend to form alliances and frequently exchange a huge volume of virtual currency within such a community. The proposed method exploits (1) the trading network, to identify the communities of characters, and (2) the volume of trades, to estimate the likelihood of communities and characters becoming engaged in real money trading. The results of an experiment using actual log data from a commercial MMORPG showed that using the trading network is more effective in detecting RMTers than conventional machine learning methods that assess individual character without referring to the trading network.