This Week in Apps: Apples Sherlocks, Instagrams nudges and a TikTok-Oracle deal – TechCrunch

Welcome back to This Week in Apps, the weekly TechCrunch series that recaps the latest in mobile OS news, mobile applications and the overall app economy.

The app industry continues to grow, with a record number of downloads and consumer spending across both the iOS and Google Play stores combined in 2021, according to the latest year-end reports. Global spending across iOS, Google Play and third-party Android app stores in China grew 19% in 2021 to reach $170 billion. Downloads of apps also grew by 5%, reaching 230 billion in 2021, and mobile ad spend grew 23% year over year to reach $295 billion.

Todays consumers now spend more time in apps than ever before even topping the time they spend watching TV, in some cases. The average American watches 3.1 hours of TV per day, for example, but in 2021, they spent 4.1 hours on their mobile device. And theyre not even the worlds heaviest mobile users. In markets like Brazil, Indonesia and South Korea, users surpassed five hours per day in mobile apps in 2021.

Apps arent just a way to pass idle hours, either. They can grow to become huge businesses. In 2021, 233 apps and games generated more than $100 million in consumer spend, and 13 topped $1 billion in revenue. This was up 20% from 2020, when 193 apps and games topped $100 million in annual consumer spend, and just eight apps topped $1 billion.

This Week in Apps offers a way to keep up with this fast-moving industry in one place, with the latest from the world of apps, including news, updates, startup fundings, mergers and acquisitions, and suggestions about new apps to try, too.

Do you want This Week in Apps in your inbox every Saturday? Sign up here: techcrunch.com/newsletters

Image Credits: Meta

Social apps are taking a closer look at how theyre being used by teens and minors as regulatory pressure increases.

Last week, TikTok improved its protections for minor users when adding a new feature that allows users to remind themselves to take a break after watching videos for a certain amount of time on the app. As a part of this, the company also said it would notify younger teens on the app that the new tool was available if they had spent more than 100 minutes on TikTok the prior day.

This week, Instagram said its rolling out its own set of improvements to the teen experience. Its expanding access to its existing parental control features outside the U.S. to users in the U.K., Japan, Australia, Ireland, Canada, France and Germany starting this month, and plans to make them globally available by year end.

In addition, Instagram will now allow parents and guardians to send invitations to teens to initiate the setup of supervision tools. Once enabled, theyll be able to limit their teens usage of the app during specific times of day and days of the week. Theyll also be able to see more information when the teen reports an account or a post, including who they reported and the type of report. For parents who were already using parental controls in the U.S., the feature will be updated to include these new features.

Notably, Meta is also now taking a cue from last falls congressional line of inquiry into how Instagrams algorithms could be leading teens to develop eating disorders as searches for healthy recipes push them down rabbit holes to content that encourages disordered eating, over-exercise and other things that could trigger negative body image issues. Instagram says it will roll out nudges in the app that encourage teens to switch to a different topic if it sees them repeatedly looking at the same type of content on the Explore page. This feature aims to help direct them away to content they may be obsessing over to discover something new. It also wont nudge users toward content thats associated with appearance comparison, the company said.

Of course, by limiting nudges to the Explore page, Instagram isnt fully addressing the problem as users could still encounter this content while browsing their Feed, Stories or Reels. But in that case, the content is there because the user explicitly chose to follow someone which is why parental monitoring of the time spent on the app remains important.

Image Credits: Apple

Apple introduced a number of new features and services across its platforms at this months Worldwide Developers Conference, but in doing so, the company appears to have once again pulled inspiration from the wider developer community. TechCrunchs Ivan Mehta took a look at which apps got sherlocked during WWDC as a result. (The term refers to Apples old finder app called Sherlock which the company updated with features offered by a competitor, Watson. The move eventually put the latter out of business.)

This time around, Apple introduced a number of concepts popularized by other apps like Continuity Camera, which seems to be inspired by companies like Camo, which had allowed users to use their iPhone as a computer webcam. This situation recalls how the makers of Duet Display and Luna had to refocus on serving a broader ecosystem after Apple introduced Sidecar in 2019 to offer a similar ability to use the iPad as a secondary display. Camo, too, will need to shift some of its focus to Windows and Android as Apple moves in on its market.

Other services that may see increased competition include: BNPL apps like Klarna and Afterpay, which will now go up against Apple Pay Later; apps for removing the background from photos, which is now a native iOS 16 feature; medication tracking apps, which will compete with a native Apple Health feature; Figjam and other collaboration tools, which will have a new first-party rival in the form of Apples Freeform; and sleep tracking apps, whose functionality has been added to Apple Health.

While this year was a particularly bad one for smaller startups that had seen an opportunity in the market, not everything Apple copies is a fully developed product. For instance, Camo saw the shift to online meetings in the wake of COVID was driving consumer demand for better webcams and what better way to serve that market than to repurpose the excellent camera most people already carried as a smartphone? But, as Florian Mueller explained on the FOSS Patents blog this week, Camo was more of a feature than a product. And perhaps in those cases, developers should focus on patenting whatever feature it is theyve come up with, rather than waiting for Apple to swoop in with an app or API that could significantly impact their business. At least then, some of their work could be compensated.

FOSS also noted, however, that there continues to be concern that apps delivering their software to users through Apples own App Store are inadvertently giving Apple access to valuable data about their customers and traction. Alternative app stores could help somewhat to alleviate this concern.

In fact, Apples sherlocking was a line of inquiry at last years antitrust hearing in the U.S. Senate, when a rep from Apple was asked whether there was a strict firewall or other internal policies in place that prevented them from leveraging the data from third-party businesses operating on their app stores to inform the development of their own competitive products. Apple had only offered vague responses as to whether or not it leveraged such App Store data for product development ideas.

We dont copy. We dont kill. What we do is offer up a new choice and a new innovation, Kyle Andeer, Apples chief compliance officer, had said at the time. He noted simply that Apple had separate teams and controls in place to avoid such issues.

In a huge move, TikTok said it would move its U.S. users data to Oracle servers located in the U.S. at the same time BuzzFeed published a remarkable report indicating that TikToks U.S. data was regularly being shared with ByteDance colleagues in China. Concern over Chinas access to TikTok had previously led the Trump administration to ban the app in the U.S. The ban was initially held up by the courts and the appeals were then put on pause when Biden came into office. All the while, TikTok had repeatedly said it would never hand over U.S. user data to anyone.

When the Trump ban was underway, TikTok had engaged in discussions with several tech companies to acquire its U.S. business if it was forced to spin it off. Oracle had been among the suitors, so its not surprising it was named in the new deal.

In recent days, TikTok had come under fire in media reports about its toxic workplace culture where employees were quitting because of being overworked spending some 12 hours a day at their job due to requirements to align themselves with Chinas business hours. The company was said to also reward the overworked and punish those who set more reasonable boundaries, as it seemed to enforce Chinas 996 work schedule on non-Chinese employees. This dictates a schedule of working from 9 am to 9 pm, 6 days per week. A WSJ report also noted some U.S. employees said they had worked 85 hours per week on average, resulting in health concerns, stress, anxiety and emotional lows so severe they sought therapy.

Image Credits: Bryce Durbin/TechCrunch

This week, we took a deep dive into a new app trend involving social apps that are leveraging homescreen widgets to connect and engage with younger users who are looking for simpler, more private social networking apps that let them stay in touch with friends through casual photo-sharing. Read more here:

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Indian esports fantasy app FanClash raised $40 million in Series B funding led by Alpha Wave Global, formerly known as Falcon Edge Capital. Users compete across several titles, including Counter Strike: Go, FreeFire and League of Legends. The company is now experimenting with expanding in the Philippines.

Mobile gaming platform VersusGame raised $25 million in a new funding round with a number of investors, including Apex Capital, Brightstone Capital Partners, Feld Ventures and others. The startup has content creators pose prediction contests to viewers, who can win cash and prizes. It has previously worked with BuzzFeed, Billboard, ESPN, UFC and others.

Reddit is acquiring machine learning startup Spell for an undisclosed sum. The startup was founded by former Facebook engineers to provide a cloud computing solution that allows anyone to run resource-intensive ML experiments without the high-end hardware that would normally be necessary. Reddit could use the ML to improve its personalized recommendations and its Discover tab.

Spotify closed its acquisition of audiobook company Findaway, announced last November.The company cited the potential for its expansion into audiobooks, noting the market is expected to grow from $3.3 billion to $15 billion by 2027.

Food delivery app Wonder, led by Marc Lore, raised $350 million in a new round led by Bain Capital Ventures at a $3.5 billion valuation, bringing its total raise in equity and debt to $900 million. Lore previously sold Quidsi (Diapers.com) to Amazon, then Jet.com to Walmart, where he stayed to lead its U.S. e-commerce business for years. Wonder is now looking to bring local restaurants and food truck deliveries to consumers homes.

Edtech company Pok Pok, which spun out of Snowman (Altos Adventure, Altos Odyssey) raised $3 million in seed funding led by Konvoy to expand its play-based learning experiences for kids. The companys Pok Pok Playroom app is designed to help kids learn through digital play using open-ended toys which, unlike mobile games, dont have a goal to achieve, points or other gaming elements.

Indonesian consumer payments app Flip raised $55 million in Series B funding in a round led by Tencent, with participation from Block (formerly Square) and existing investor Insight Partners. The company has helped more than 10 million people in Indonesia as of May this year, up from more than 7 million users in December 2021. Its app lets users perform interbank transfers to more than 100 domestic banks, use an e-wallet, and create international remittances.

Onymos, a feature-as-a-service platform for app development, raised $12 million in Series A funding led by Great Point Ventures. The startup offers off-the-shelf features that can be added to apps like login, biometrics, chat, data storage, location services, notification modules, underlying logic and server-side functions needed to process data in the cloud.

Image Credits: Grace

A new startup calledGrace launched an app to make it easier for parents to monitor and manage their kids screen time and app usage on iOS devices. Although Apple offers built-in parental controls, many parents would prefer an app-based solution as opposed to having to dig around in the settings for Apples tools. In addition, Grace offers more customization over kids screen time schedules. With Apples controls, parents can only configure start and stop times for Downtime, for instance, as opposed to being able to set other times when app usage should be limited, like school hours, family dinner time, homework time and more.

Grace is also notable for being one of the first to arrive thats built with Apples Screen Time API, introduced at Apples Worldwide Developer Conference last year. The new API allows developers to create an interface that works with Apples built-in tools in order to expand their functionality.

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This Week in Apps: Apples Sherlocks, Instagrams nudges and a TikTok-Oracle deal - TechCrunch

After the crypto crash, here’s what industry experts are waiting for next – CNBC

A visual representation of Bitcoin cryptocurrency.

Edward Smith | Getty Images

Cryptocurrency companies dominated the main street at the World Economic Forum in Davos this year, a notable difference between this edition and the last one in 2020.

The high-profile presence from the industry came even as the cryptocurrency market crashed. It was sparked by the collapse of the so-called algorithmic stablecoin called terraUSD or UST, which saw its sister token luna drop to $0 in May.

Meanwhile, global regulators are setting their sights on the cryptocurrency industry.

WEF is the annual gathering of global business leaders and politicians that aims to set the agenda for the year.

Against that backdrop, it was the perfect time to catch up with some of the big players in the cryptocurrency industry. Here's what I learned.

There are currently over 19,000 cryptocurrencies and dozens of blockchain platforms in existence.

Blockchain is the technology that underpins these digital currencies and platforms include Ethereum, Solana and many others.

Many of the industry executives see the current state of the market as unsustainable.

Brad Garlinghouse, CEO of cross-border blockchain firm Ripple, predicted there may only be "scores" of cryptocurrencies left in the future. He said there are around 180 fiat currencies in the world and there is not really a need for that many cryptocurrencies.

Betrand Perez, CEO of the Web3 Foundation, likened the current state of the market to the early internet era, and said there were lots of "scams" and many "were not bringing any value."

Brett Harrison, CEO of cryptocurrency exchange FTX U.S., said there are "a couple of clear winners" when it comes to blockchain platforms.

You may have heard of stablecoins. They're a type of cryptocurrencies which are supposed to be pegged to a real world asset.

In practice, stablecoins like tether or USD Coin, which aim to mirror the U.S. dollar one-to-one, are backed by real assets such as currencies or bonds. They hold a reserve of these assets in order to maintain a dollar peg.

You may have also heard about the debacle surrounding a terraUSD or UST. This is a so-called algorithmic stablecoin. Instead of maintaining its peg by having a reserve of assets, it aims to mimic the U.S. dollar and maintain stability through a complex algorithm.

But that algorithm failed and caused terraUSD to lose its peg and collapse.

The crypto industry tried to warn users to make sure they know the difference between an algorithmic stablecoin, like terraUSD, and others that are backed by assets.

Everyone wants to be more more involved with crypto now, no one is ignoring the industry anymore.

Mihailo Bjelic

CEO of Polygon

The terraUSD collapse "made it very clear to people that not all stablecoins are created equal," said Jeremy Allaire, CEO of Circle, one of the companies behind the issuance of USDC.

"And it's helping people differentiate between a well-regulated, fully reserved, asset-backed dollar digital currency, like USDC, and something like that (terraUSD)."

Reeve Collins, co-founder of BLOCKv and co-founder of another stablecoin tether, said the terraUSD saga will "probably be the end" of most algorithmic stablecoins.

Believe it or not, the cryptocurrency industry welcomed the recent market crash, which saw major tokens like bitcoin fall more than 50% from their all-time highs.

"We're in a bear market. And I think that's good. It's good, because it's going to clear the people who were there for the bad reasons," said the Web3 Foundation's Perez.

This sentiment was echoed by other executives too, who say the massive rally in prices caused people to focus on speculation rather than building products.

[The] market, in my personal opinion, became maybe a little bit irrational, or maybe a little reckless to a certain extent. And when the times like that come, [a] correction is normally needed, and at the end of the day [is] healthy," said Mihailo Bjelic, CEO of Polygon.

Ahead of the World Economic Forum, European Central BankPresidentChristine Lagardesaid she thinks cryptocurrencies are "worth nothing."

It appeared to me like regulators and authorities were still antagonistic to cryptocurrencies, much like they had been over the past few years at Davos.

But executives said the thinking from regulators, for the most part, has shifted to something slightly more constructive.

"I think we've come a long way from three or four years ago when when I literally had just arrived here in the snowy version of Davos and someone said, you know, crypto is still a bad word here. That is no longer the case. So I definitely don't think 'antagonism' would be the right descriptor. I think 'curiosity,'" Ripple's Garlinghouse said.

"I think it's constantly changing both regulators, big enterprises. Everyone wants to be more more involved with crypto now, no one is ignoring the industry anymore," Polygon's Bjelic said.

In March, U.S. President Joe Biden signed an executive order calling on the government to examine the risks and benefits of cryptocurrencies. Still, there is no major cryptocurrency regulation in the U.S. and other major economies.

Garlinghouse said that he wants "clarity and certainty" from regulators.

BLOCKv's Collins, meanwhile, called Lagarde's comments "ignorant." He highlighted the tension that still exists between the cryptocurrency industry and some authorities in traditional finance.

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After the crypto crash, here's what industry experts are waiting for next - CNBC

Cryptocurrency and Bitcoin: Here’s What to Know – The New York Times

Jump to:A Bitcoin is a digital token that can be sent electronically from one user to another, anywhere in the world.

A Bitcoin can be divided out to eight decimal places, so you can send someone 0.00000001 Bitcoin. This smallest fraction of a Bitcoin the penny of the Bitcoin world is referred to as a Satoshi, named after the pseudonymous creator of Bitcoin.

Bitcoin is also the name of the payment network on which this form of digital currency is stored and moved. Unlike traditional payment networks such as Visa, the Bitcoin network is not run by a single company or person. The system is run by a decentralized network of computers around the world that keep track of all Bitcoin transactions, similar to the way Wikipedia is maintained by a decentralized network of writers and editors.

Bitcoin was introduced in 2008 by a creator who goes by the name Satoshi Nakamoto, who communicated with the rest of the world only by email and social messaging. While several people have been identified as possibly being Satoshi, the identity of the real Satoshi has not been confirmed.

Satoshi created the original rules of the Bitcoin network and then shared the software with the rest of the world in 2009. The inventor largely disappeared from the public two years later. Once Satoshi had released the software, anyone could download and use it. This means Satoshi has no more control over the network now than anyone else.

The computers involved in Bitcoin mining are in a sort of computational race to process new transactions coming onto the network, solving complex math problems that require quintillions of numerical guesses per second. The winner of that race generally the person with the fastest computers gets a chunk of new Bitcoins. Since miners can earn rewards but are independent, this process is meant to incentivize participation and maintenance.

There is generally a new winner about every 10 minutes, and this will continue until there are 21 million Bitcoins in the world. At that point, no new Bitcoins will be created. The network is expected to reach that cap in 2140.

Every Bitcoin in existence was created through this method and initially given to a computer helping to maintain the records. In Bitcoins early years, a crypto enthusiast could mine coins by running software on a laptop. But as the digital assets have become more popular, the amount of power necessary to win the race and generate Bitcoins has soared. A single Bitcoin transaction now requires more than 2,000 kilowatt-hours of electricity, or enough energy to sustain the average U.S. household for 73 days, according to some estimates.

The original blockchain was the database on which all Bitcoin transactions were stored. It was named blockchain because the transactions coming onto the network were grouped into blocks of data and then chained together using sophisticated math.

After the Bitcoin blockchain had operated for a number of years, successfully storing every Bitcoin transaction and surviving numerous attacks from hackers, many programmers and entrepreneurs wondered if its design could be replicated to create other kinds of secure ledgers unrelated to Bitcoin.

Companies and governments that dont rely on currency have since begun using blockchain technology to store their data. Banks are building blockchains that can track payments between accounts, while governments are experimenting with using blockchains to store property records and votes.

Founded in San Francisco in 2012, Coinbase allows people and companies to buy and sell various digital currencies, including Bitcoin. In April 2021, Coinbase became the first major cryptocurrency company to list its shares on a U.S. stock exchange.

Coinbase set itself apart from other early blockchain businesses by becoming one of the first to get a new special license, called the BitLicense, to run a virtual currency company in New York. In addition to providing the brokerage service for small investors, Coinbase also runs an exchange called GDAX, which is tailored to larger investors.

The most well-known cryptocurrencies are Ether, Dogecoin and Tether.

Ether is the virtual currency used on the global computing network Ethereum, which operates according to rules defined by Ethereum software. Those rules allow the Ethereum network to be programmed to complete certain types of computing tasks, with every computer on the network completing the tasks simultaneously to ensure they are done correctly. Generally, the tasks involve money.

The creator of Ethereum, Vitalik Buterin, has likened the network to a global smartphone that can be programmed to operate according to the apps built on top of it. The apps are called Dapps because they are run by a decentralized network of computers.

Mr. Buterin was inspired by Bitcoins success to create Ethereum. But he set out to build something that could do more than Bitcoin: He wanted to build a system that would make it possible to program more complex financial transactions. With Ethereum, two companies can conduct transactions, such as settling a stock option on a shared computer, that allows them both to check the records.

Dogecoin was created as a parody of cryptocurrency in 2013 by two friends who had met in a chat room. Named after a meme of an expressive dog, Dogecoin was meant to mock the self-serious cryptocurrencies of the time, many of which never took off. The joke did, though, and it spawned a community of enthusiasts who have kept it alive for years.

Tether is the largest stablecoin, a type of cryptocurrency that is typically pegged to an existing government-backed currency. It is roughly half-invested in a type of short-term corporate debt called commercial paper.

DeFi is an umbrella term for the part of the crypto universe that is geared toward building a new, internet-native financial system, using blockchains to replace traditional intermediaries like banks and trust mechanisms. It has allowed crypto businesses to move into more traditional banking territory, offering services such as lending and borrowing.

Investors can earn interest on their holdings of digital currencies often a lot more than they could on cash deposits in a bank or borrow with crypto as collateral to back a loan. Crypto loans generally involve no credit checks since transactions are backed by digital assets.

To send or receive money in the traditional financial system, you need intermediaries like banks or stock exchanges. In DeFi, those middlemen are replaced by software. As people trade directly with one another, blockchain-based smart contracts do the work of making markets, settling trades and ensuring that the entire process is fair and trustworthy.

An NFT is basically a way to claim ownership of a digital file: You can think of it as a certificate of authenticity you might get if you buy an expensive sculpture. The sculpture can be copied, forged or even stolen, but because you have the certificate of authenticity, you can theoretically prove that you are the owner of the original.

NFTs make digital artworks unique and, therefore, sellable. Artists, musicians, influencers and sports franchises can use them to monetize digital goods that were previously cheap or free. The technology also responds to the art worlds need for authentication and provenance in an increasingly digital world, permanently linking a digital file to its creator.

The technology for NFTs has been around since the mid-2010s but became mainstream in late 2017 with CryptoKitties, a site that allowed people to buy and breed limited-edition digital cats with cryptocurrency. Since then, investors have begun buying and trading NFTs, often for eye-popping prices.

To promise holders that every $1 they put in will remain worth $1, stablecoin issuers hold a bundle of assets in reserve, usually short-term securities such as cash, government debt or commercial paper.

Stablecoins are useful because they help lock in value at the time of transaction. This is important since cryptocurrencies are volatile and prone to price fluctuations. They form a bridge between traditional money and crypto, and are exploding in popularity as a practical and cheap way to make transactions in cryptocurrency.

But many stablecoins are built more like slightly risky investments than like the dollars-and-cents cash they claim to be. And, so far, they are slipping through regulatory cracks.

Regulators are concerned about stablecoins because they have exploded in popularity very quickly, and because many are backed by traditional reserves, they could and trigger a kind of bank run that would potentially pose risks in the wider financial system. There is also no consistent oversight of issuers or a standard for reserves, and as such different stablecoin issuers have different types of reserve backing, including more or less cash, treasuries, commercial paper, etc.

There are a few kinds of stablecoins, including these digital assets backed by traditional reserves, others are collateralized by crypto and, finally, algorithmic stablecoins. The risk in algorithmic stablecoins which depend on a mathematical formula devised by issuers and investor interest to maintain stability was demonstrated in May when Terra/Luna crashed after the assumptions the algorithm was premised on did not pan out in the market and investors fled.

At its core, web3 aims to replace centralized corporate platforms with open protocols and decentralized, community-run networks. The term has been around for years, but it has become trendy in the past year or so. Packy McCormick, an investor who helped popularize web3, has defined it as the internet owned by the builders and users, orchestrated with tokens.

Web3 is seen as the next evolution of web1 (the era in the 1990s and early 2000s during which the internet was made up of blogs, message boards and early portals like AOL and CompuServe) and web2 (a phase starting around 2005 or so, characterized by social media behemoths like Facebook, Twitter and YouTube).

Proponents envision that web3 will take many forms, including decentralized social networks, play-to-earn video games that reward players with crypto tokens, and NFT platforms that allow people to buy and sell pieces of digital culture. The more idealistic ones say web3 will transform the internet as we know it, upending traditional gatekeepers and ushering in a new, middleman-free digital economy.

But some critics believe that web3 is little more than a rebranding effort for crypto, with the aim of shedding cryptos reputation as a place for rogues and rebels and convincing people that blockchains are the next phase of computing. Others believe its a dystopian vision of a pay-to-play internet in which every activity and social interaction becomes a financial instrument to be bought and sold.

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Cryptocurrency and Bitcoin: Here's What to Know - The New York Times

Understanding the Wealth-Creating Power of Cryptocurrency – InvestorPlace

Well, one thing is for sure: Nothing is going to be the same in the crypto market after this year.

Perhaps the most jarring example of the bearish crypto market this year has been the complete collapse of Terra (LUNA).

As you can see, its not pretty. The coin lost 98% of its value or around $40 billion, in a matter of hours.

While this drop was shocking for a lot of crypto investors (and rightfully so), it just goes to show that value destruction can happen to even the biggest cryptos out there.

The sister token to TerraUSD (UST) an algorithmic stablecoin pegged the U.S. Dollar exposed a major fault within the crypto industry: under-collateralization.

However, my team and I dont see this as fault. Instead, we see it as an opportunity of what to look for and what to avoid.

I firmly believe cryptos and blockchain in general represent some of the most promising innovations of our time. But just like the internet before it, this shift wont happen overnight.

Long-term, I am extremely bullish on cryptocurrencies. But this cryptocurrency bubble must reach its natural conclusion the same way the dot-com boom of 2000 did with an enormous crash.

While this may be the beginnings of the big one for cryptocurrencies, this crash isnt the end. Its far from it.

This is the beginning of the Cryptocurrency Revolution. Its the end of bad cryptos just built on hype and the emergence of strong ones made with world-changing tech.

We have strong cause to believe this, including using Gartners Hype Cycle. It teaches us that new technologies go through five phases:

The stages are represented graphically in the following chart.

We believe cryptos are somewhere in the Peak of Inflated Expectations phase. Big-name cryptocurrencies will begin to fail, and the mainstream media will begin writing about these failures.

Over the coming months to years, well enter the Trough of Disillusionment. This is where thousands of cryptos will fail. And several hundred billion dollars of value will be wiped out.

Investors who are smart here will make millions.

After the Trough of Disillusionment comes the Slope of Entitlement, swiftly followed by the Plateau of Productivity.The big money is made in these phases.

There, the wheat is separated from the chaff, and true visionaries and innovators in a new technology emerge.

During the internet era, this durable growth phase started in 2003. In that time, companies like Amazon (NASDAQ:AMZN), Netflix (NASDAQ:NFLX), Facebook and Alphabet (NASDAQ:GOOGL) used the internet to create second- and third-generation products and services that would go on to change the world.

Cryptos will follow the same path.

You could do a lot worse than buying Bitcoin at this price. But theres a much bigger opportunity at hand

Indeed, you could domuch betterin several of Bitcoins smaller cryptocurrency cousins.

In fact, there are a handful of very small coins that could soar more than 31 times that of Bitcoin.

Thats right. If youre poised to make $10,000 in BTC, you could make 31 times that $310,000 in its tiny cousins.

Or if youre poised to make $100,000 in BTC, you could make $3.1 million instead.

The million-dollar question is:What are the best cryptocurrencies to buy today that have enormous long-term upside potential?These are the ones that could help you achieve total financial freedom in a very short time.

I urge you to learn about this huge story. Ill teach you about the transformative technology of altcoins. And Ill share how to leverage this undercurrent of cryptocurrency innovation to set yourself up for life-changing returns.

Right now, theres a fuse being lit under the altcoin market. And itll set off one of the largest explosions of wealth in modern history. People who invest modest stakes in altcoins will make millions of dollars.

To truly realize the magnitude of this opportunity, you must understand that altcoins are different than how most perceive them.

These assets arent fantasy internet money. And many are about to skyrocket thousands of percent.

Theyre investments in one of the most valuable, most revolutionary technologies ever created.

And theyll generate a multi-trillion-dollar tsunami of wealth for their owners.

Remember; the underlying technology behind Bitcoin and altcoins isthe blockchain.

You can think of cryptocurrency and the blockchain like a virtual ledger.

But I prefer to say blockchain technologies are justreally, really, reallyvaluable software programs.

Now, if youve paid attention to the stock market over the past30 years,you should be ready to jump out of your chair and buy altcoins with both hands right now.

Thats because software programs are the oil of the 21st century. They are one of the greatest forces for wealth creation on Earth.

In the 20th century, the discovery of oil deposits around the world minted millionaires faster than anyone could count.

It was one of the fastest, biggest accumulations of wealth in history. People went from being broke to having more money than their grandkids could ever spendvirtually overnight.

When I say software programs are of the greatest forces for wealth creation, Im not talking about conventional wealth creation. That takes 30 years to save up $1 million.

Im talking about wealth creationon steroids, where Investors can make $30 million inone year. I know that sounds outlandish, but lets look at the amazing facts right in front of us.

Bill Gates became one of the worlds richest men because of software programs. Just think about the Microsoft (NASDAQ:MSFT) spreadsheet program we call Excel.

How much time did Excel save the human race a billion years, 10 billion years?

Excel is now the worlds most popular spreadsheet program. By allowing us to automate calculations and financial analysis, it has saved us incredible amounts of time. We no longer have to do single calculations by hand.

One person running Excel can do the work of a million accountants from days past.

Software programs have incredible power. And its spread across all industries.

Over the past 30 years, software programs have created an explosion of efficiency and human productivity. Great software can help you make smart business decisions, find travel deals, talk to loved ones, and get a cheap ride home.

It has massively improved our ability to communicate, share information, complete transactions, and gather and analyze data.

Think about health care, education, transportation, manufacturing, energy production, food production, retail, banking, you name it. Computer programs have allowed us to do it all much more efficiently.

Good software has saved us so much time, money and frustration. Its no wonder its kicked off one of the largest, fastest accumulations of wealth in human history.

In 1986, computer program leader Microsoft went public. Shares are up more than 1,185% since then.

Computer program leader Oracle (NYSE:ORCL) went public in 1986 as well. Oracle founder Larry Ellison is one of the worlds richest people, worth over $90 billion.

In 1998, Larry Page and Sergey Brin founded Google and created the worlds most valuable search engine program. Both are now worth more than $90 billion each. And their early backers made billions, as well.

Software programs have become the worlds ultimate wealth creators. Thats because we all place enormous value on their ability to save us time and headaches. And its also because theyve made us massively more productive.

Which brings me to my million-dollar point.

Blockchain technology is about to unleash an epic new wave of computer program wealth.

Real altcoins arent anything like fantasy internet money, as theyre portrayed in the press. Investments in the best of them are investments in the next generation of revolutionary software programs.

Big picture, blockchain allows for disintermediation across all industries. Its arguably the most disruptive technology since the internet. And at its core is its centralized and immutable ledger.

This ledger enables innately untrustworthy entities to create trustworthy systems, all without the need for any central authority.

Blockchain enables folks to remove the middleman from legacy systems and replace them with a collective ledger.

Now why would we do that? Because middlemen are often unnecessary profit-takers.

Further, theyre sometimes subject to corruption (see: the financial crisis of 08).

By removing and replacing them with an automated and incorruptible technology, we can make todays systems and processes cheaper, faster, and more trustworthy.

The applications here are theoretically infinite. One that Wall Street is currently drooling over is decentralized finance (DeFi). With cryptocurrency, we can create a new era offinancethat doesnt involve big banks as profit-taking intermediaries.

And DeFi is the future.

After all, its intended to disintermediate banks, like Goldman Sachs (NYSE:GS), JPMorgan (NYSE:JPM), and Wells Fargo (NYSE:WFC). Those are multi-hundred-billion-dollar companies. The disruption opportunity is huge.

But theres a much, much bigger opportunity in disintermediating technology titans like Alphabet and Amazon, who are trillion-dollar companies.

Thats why I love the idea of dApps, or decentralized applications.

DApps are software applications built on the blockchain. And this can be anything. Think a video media application like YouTube, a driver-rider app like Uber (NYSE:UBER), a music streaming app like Spotify (NYSE:SPOT).

These apps are coded on the blockchain. And therefore, theres no central authority that runs and profits from the app, either via subscription sales or digital ads. By removing that central authority, dApps create a new generation of truly free software applications.

Oftentimes, these dApps have underlying cryptocurrencies. Theyre used as a form of in-app currency or incentive token for developers and blockchain participants.

The appreciating value for these cryptos represents the economic value of the dApp. Instead of developers profiting from digital ad sales, they make money by owning the dApps cryptocurrency. And that rises in value as more folks use the platform.

I firmly believe that dApps will disrupt everything. The future YouTubes, Ubers and Spotifys will be dApps. In fact, most, if not all, apps in the future will be dApps.

During the internet craze of the late 90s and early aughts, the companies that succeeded did something very simple.

They didnt reinvent the wheel or create brand-new industries.

They just digitized what was already workingin the physical world.

Malls were working. So,Amazondigitized malls and turned intothedigital mall.

Movie theaters were working. So,Netflixdigitized movie theaters and turned intothedigital movie theater.

The winning playbook in the dot-com boom was astoundingly simple. Find something thats working in the physical economy anddigitize it.

And the winning playbook in the Cryptocurrency Boom will be equally simple. Find something thats working in the digital economy anddecentralize it. The cryptocurrencies that dothisthe best will turn into 100X investment opportunities over the next decade.

When you shift your perspective on altcoins, you realize that theyre not fantasy internet money. Theyre investments in systems that make our lives easier, more productive, and more efficient.

Investing in the best altcoins now is like taking an early stake inAdobe (NASDAQ:ADBE) in 1998. It created the hugely popular PDF program. And the stock has soared 3,809% since then.

Thats why well be holding an emergency briefing on June 14 at 7 p.m. Eastern. Well discuss how the phenomenon plaguing the crypto markets recently could spark the minting of a new wave of millionaires.

Despite all the negative headlines weve been seeing, a new day is dawning. And a select few off-the-radar coins will emerge as the new leaders of the cryptocurrency markets.

If you want to get ahead of this phenomenon, sign up for my free Crypto in Crisis event now!

On the date of publication, Luke Lango did not have (either directly or indirectly) any positions in the securities mentioned in this article.

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Understanding the Wealth-Creating Power of Cryptocurrency - InvestorPlace

Cryptocurrency In Texas: Why Bitcoin Mining Is Taking Off In The Lone Star State – JD Supra

By nature, Bitcoin mining is energy-intensive and relies on cheap energy to turn a profit. Bitcoin miners have started to flock to Texas because of the current goldilocks situation for cryptocurrency mining for three main reasons:

While Bitcoin mining has been criticized for being energy-intensive, Texas Governor Greg Abbott, among others, views Bitcoin mining as a solution to other related issues, such as taking advantage of untapped energy, including natural gas (such as surplus gas or associated gas) that would otherwise be flared or vented because of limited infrastructure to transport it to a destination.

Its no secret that for years oil and gas companies have struggled to solve the problem of flaring, not only in Texas but across the U.S. Unlike oil, which can be transported by truck or rail, natural gas requires pipeline infrastructure to deliver it to market. If a driller has no means of transporting its gas, either economically or because there isnt available pipeline infrastructure to do so they flare (or burn) it, and the environmental implications of doing so are substantial.

Instead, cryptocurrency miners can tap into this surplus gas, whether its flared gas or bad netbacks, and divert it to generators, which then can convert the gas into electricity and then use it to power their sophisticated supercomputers and servers. According to Argus Media, Companies see a double benefit reducing the negative impacts of gas flaring and cutting their carbon footprint. According to research from Crusoe Energy Systems, one of the largest Bitcoin miners in the U.S., the process reduces the CO2 equivalent emissions by about 63% compared to flaring. This opportunity to repurpose otherwise stranded energy and monetize it has not only been attractive to Bitcoin miners, but also to oil and gas companies to increase returns on their production while also complying with Environmental, Social, and Governance (ESG) initiativesmore specifically the E component for reducing their carbon footprint.

Regardless of the energy source for the Bitcoin miner, be it the gas that would otherwise be flared or energy sourced by renewables, the Bitcoin miner essentially behaves like a power plant by purchasing power at an agreed fixed price and owning the ability to sell the power back to the grid.

In contrast to Abbotts position that cryptocurrency mining provides financial incentives to build power infrastructure and produce more energy, his opponents argue that doing so would also trigger greater demand and stress on an already unstable power grid.

Abbotts position, however, relies on the belief that if a severe weather event occurred, such as Winter Storm Uri in February 2021, which resulted in substantial surges in power demand, miners would be forced to pause operations when ordered to do so. In other words, miners would halt their operations and return the power to the grid when demand surges. This concept is not only supported by basic humanitarian principles, morals, or ethics that power should be redirected to save human lives but also supported by the dynamic of the market itself. In the event of demand for power surgesas it did during Winter Storm Urispot power prices increase (sometimes dramatically) and therefore the miner would be financially incentivized to sell power back to the grid as opposed to consuming it.

For miners, the benefits are not exclusive to their ability to source cheap power but also the flexibility and optionality to return that power to the grid. For Texas, particularly ERCOT, the states power regulator, the ability for miners to turn off during peak demand prevents the need to turn on less efficient peak demand power plants allowing ERCOT to stabilize the grid more effectively.

According to the Texas Blockchain Council, there are at least 27 mining operations in the state with more on the way. This growth is not only attributable to the points discussed above but also to the larger crack-down on cryptocurrency mining abroad particularly in China, pushing many to flee to the U.S.

Its important to note that China is heavily dependent on dirtier energy sources such as coal, which produces roughly twice as much CO2 emissions as natural gas. Meanwhile, Texas is home to cleaner sources such as natural gas and wind. Moreover, within the U.S., Texas is a leader in the nations wind-powered electricity generation, comprising approximately 26% of the nations total net wind generatio

(Source: EIA)

Altogether these factors have incentivized and attracted Bitcoin miners to Texas with the Lone Star State becoming the fourth-highest hash rate (the measure of how much power is being supplied to the Bitcoin network) of any state, at approximately 14%.

From Rockdale, Texas, home to the two biggest Bitcoin mining companies in the world, to the first city in the U.S. to mine Bitcoin, to Fort Worth, Texas the Lone Star State is welcoming the Bitcoin mining industry with open arms!

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Cryptocurrency In Texas: Why Bitcoin Mining Is Taking Off In The Lone Star State - JD Supra

Dogwoof Acquires Tribeca-Bound Documentary ‘XY Chelsea’ – Variety

Dogwoof has acquired international sales rights to Tim Travers Hawkins XY Chelsea, an intimate portrait of Chelsea Manning, the former U.S. Army intelligence analyst who was recently incarcerated after refusing to testify in the WikiLeaks case.

Manning was was sentenced to 35 years at a maximum-security prison for leaking classified military information to WikiLeaks in 2013. Four years later, then-President Barack Obama commuted Mannings sentence as one of the final acts of his presidency.

The documentary, which will have its world premiere at Tribeca, follows Manning as she prepares her transition to living life for the first time as a free woman. Hawkins was granted exclusive and intimate access to Manning after her release from military prison.

Produced by Pulse Films, XY Chelsea will air on Showtime in North America in June, following its release in the U.K. on May 24.

XY Chelsea is a challenging documentary that speaks to many troubling phenomena of our times, yet is also raw, intimate and human-scale, said Hawkins, who wrote the documentary with Mark Monroe, Enat Sidi and Andrea Scott.

The director said he started making the film based on written diaries that Manning mailed to him, as well as recorded calls over the heavily monitored prison line.

As we announce the release of the film, she is locked up once again, proving both the urgency of her story and her strength and uncompromising rebelliousness, added Hawkins.

XY Chelsea was co-financed by the BFI, with the backing of National Lottery funding, Field of Vision and Topic Studio. It was produced by Julia Nottingham, Isabel Davis, Thomas Benski and Lucas Ochoa, and executive produced by Laura Poitras, Charlotte Cook, Vinnie Malhotra, Mary Burke, Michael Bloom, Lisa Leingang, Sharon Chang, Christos V. Konstantakopoulos, Blaine Vess, Marisa Clifford and Ryan Harrington

Anna Godas, CEO of Dogwoof, described XY Chelsea as a current, intimate and highly cinematic portrait of a key figure of the 21st century.

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Dogwoof Acquires Tribeca-Bound Documentary 'XY Chelsea' - Variety

Spain’s High Court Demands Pompeo Testify on Alleged Plot to Kidnap or Kill Assange – Common Dreams

A judge on Spain's highest court has summoned former U.S. Secretary of State and Central Intelligence Agency Director Mike Pompeo to testify about an alleged Trump administration plot to kill or kidnap jailed WikiLeaks founder Julian Assange, according to a report published on Friday.

Spain's ABC reports National High Court Judge Santiago Pedraz issued the summons, which compels Pompeo to testify as part of an investigation of alleged illicit spying on Assange by Spanish security firm U.C. Global while the Australian was exiled in the Ecuadorean Embassy in London.

Pompeo and former U.S. National Counterintelligence and Security Center Director William Evanina are also being called to testify about an alleged plot revealed last year by Yahoo! News to abduct or possibly murder Assange to avenge WikiLeaks' publication of the "Vault 7" documents exposing CIA electronic warfare and surveillance activities.

According to Yahoo! News' Zach Dorfman, Sean D. Naylor, and Michael Isikoff, discussions over kidnapping or killing Assange occurred "at the highest levels" of the Trump administration, with senior officials requesting "sketches" or"options" for assassinating him.

"They were seeing blood," one former Trump national security official told the reporters. "There seemed to be no barriers," said another.

U.C. Global whistleblowers allege company founder David Morales worked with the CIA to surveil Assange and Ecuadorean diplomats who worked at the London embassy. Former Ecuadorean President Rafael Correa had angered the Obama and Trump administrations by granting Assange asylum as he resisted going to Sweden to face sex crime allegations over fears he would be extradited to the United States.

Assange is charged in the U.S. with violating the 1917 Espionage Act and the Computer Fraud and Abuse Act for conspiring with whistleblower Chelsea Manning to publish classified documentswhich revealed U.S. and allied war crimes and other misdeeds in Afghanistan, Iraq, and around the worldon WikiLeaks over a decade ago.

According to the United Nations Working Group on Arbitrary Detention, Assange has been arbitrarily deprived of his freedom since he was first arrested in London on December 7, 2010. Since then, he has been held under house arrest, confined for seven years in the Ecuadorean Embassy, and jailed in London's Belmarsh Prison, where he currently awaits his fate after a judge recently approved a U.S. extradition request.

A decision by U.K. Home Secretary Priti Patel on whether to extradite Assange to the U.S. is reportedly imminent. Press freedom, anti-war, and other advocacy groups have urged Patel to reject the U.S. government's request.

"Assange would be unable to adequately defend himself in the U.S. courts, as the Espionage Act lacks a public interest defense," 20 groups wrote in an April joint letter to Patel. "His prosecution would set a dangerous precedent that could be applied to any media outlet that published stories based on leaked information, or indeed any journalist, publisher, or source anywhere in the world."

Pompeo, who is also wanted in Iran for his role in the January 2020 extralegal assassination of Iranian Gen. Qasem Soleimani in Iraq, is widely considered to be a possible 2024 Republican presidential candidate.

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Spain's High Court Demands Pompeo Testify on Alleged Plot to Kidnap or Kill Assange - Common Dreams

Computer Science & Artificial Intelligence – University of Southampton

This accredited course is designed to give you industry experience alongside our research-led teaching.

We encourage you to take summer work placements in an industry of your choice or even add a full year in industry to help you gain the experience you need for accreditation.

All our computer science degree courses share the same compulsory modules in years 1 and 2, making it easy to switch between them. In the third and fourth years, you can tailor your degree by choosing optional modules.

Youll study the logical and mathematical theory underpinning computer science. Youll also gain an understanding of the fundamentals of computer hardware.

As an introduction to software engineering, youll cover data structures and algorithms. Youll also look at the principles of AI programming, including using an object-oriented approach and software engineering processes.

Youll apply your knowledge by working on practical projects. For example, youll build algorithms and data analysis tools, and develop software user interfaces.

Youll deepen your understanding of computer science by studying topics, such as artificial intelligence, communication protocols and the TCP/IP layered model.

A group project will give you first-hand experience of working in a team, and of the problems of communication and scale in software engineering.

An individual project is a chance to explore in depth an area of AI that interests you, under the supervision of an academic who is doing work in that area. Recent topics include:

Youll take a compulsory module in engineering management and law. Youll also specialise in artificial intelligence choosing options such as machine learning, simulation and advanced robotics.

You could also study a language, take modules from other disciplines such as psychology or chemistry, or choose from a range of innovative interdisciplinary modules.

Youll take part in a group design project. This involves working in a team for an industry or academic customer to solve a real-world problem. For example, previous students built an AI system for Ordnance Survey for a project entitled learning from aerial imagery.

Optional modules cover topics such as machine learning, computational finance and biologically inspired robots.

There is also an opportunity to study abroad for a semester.

Want more detail?See all the modules in the course.

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Computer Science & Artificial Intelligence - University of Southampton

Artificial Intelligence Engineering | University of Southampton

The year 1 and 2 modules are similar across all our Electronic Engineering courses and provide a grounding in essential engineering topics.

In years 3 and 4 youll specialise in AI, and can follow your interests by choosing modules from a wide range of options. You can also take modules from other subject areas.

Youll work in high-spec electronics and computer labs, equipped with the latest technology, hardware and software.

In the first year, youll study digital systems, and electrical materials and fields. There are core modules in:

mathematics

physics

electronics

programming

We'll develop your practical skills with extensive laboratory classes. In your first semester youll get to build processing boards.

Compulsory modules will explore:

electrical materials

circuitry

programming

electronic design

You'll choose from optional modules, covering topics such as:

photonics

semiconductors

computer engineering

At the end of the year, you'll complete a 3-week team challenge, judged by an industry panel. Previous projects include the development of a home AI system and building a quadcopter.

Youll complete a unique piece of individual research in an AI topic of your choice. This will typically involve designing, building and testing a new electronic system. Past students have designed a traffic counting system using computer vision, and explored security for smart home systems.

You'll study the foundations of machine learning, and select specialised optional modules such as:

robotic systems

computational biology

cyber security

green electronics

You can also choose to:

The main group design project is a great opportunity to experience working for an industry or academic customer. Past projects have involved:

Youll also select from optional modules covering topics, such as:

machine Learning

data mining

computer vision

You can apply to spend the second semester studying abroad at a partner institution.

Want more detail?See all the modules in the course.

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Artificial Intelligence Engineering | University of Southampton

Artificial General Intelligence Is Not as Imminent as You Might Think – Scientific American

To the average person, it must seem as if the field of artificial intelligence is making immense progress. According to the press releases, and some of the more gushing media accounts, OpenAIs DALL-E 2 can seemingly create spectacular images from any text; another OpenAI system called GPT-3 can talk about just about anything; and a system called Gato that was released in May by DeepMind, a division of Alphabet, seemingly worked well on every taskthe company could throw at it. One of DeepMinds high-level executives even went so far as to brag that in the quest for artificial general intelligence (AGI), AI that has the flexibility and resourcefulness of human intelligence, The Game is Over! And Elon Musk said recently that he would be surprised if we didnt have artificial general intelligence by 2029.

Dont be fooled. Machines may someday be as smart as people, and perhaps even smarter, but the game is far from over. There is still an immense amount of work to be done in making machines that truly can comprehend and reason about the world around them. What we really need right now is less posturing and more basic research.

To be sure, there are indeed some ways in which AI truly is making progresssynthetic images look more and more realistic, and speech recognition can often work in noisy environmentsbut we are still light-years away from general purpose, human-level AI that can understand the true meanings of articles and videos, or deal with unexpected obstacles and interruptions. We are still stuck on precisely the same challenges that academic scientists (including myself) having been pointing out for years: getting AI to be reliable and getting it to cope with unusual circumstances.

Take the recently celebrated Gato, an alleged jack of all trades, and how it captioned an image of a pitcher hurling a baseball. The system returned three different answers: A baseball player pitching a ball on top of a baseball field, A man throwing a baseball at a pitcher on a baseball field and A baseball player at bat and a catcher in the dirt during a baseball game. The first response is correct, but the other two answers include hallucinations of other players that arent seen in the image. The system has no idea what is actually in the picture as opposed to what is typical of roughly similar images. Any baseball fan would recognize that this was the pitcher who has just thrown the ball, and not the other way aroundand although we expect that a catcher and a batter are nearby, they obviously do not appear in the image.

A baseball player pitching a ballon top of a baseball field.A man throwing a baseball at apitcher on a baseball field.A baseball player at bat and acatcher in the dirt during abaseball game

Likewise, DALL-E 2 couldnt tell the difference between a red cube on top of a blue cube and a blue cube on top of a red cube. A newer version of the system, released in May, couldnt tell the difference between an astronaut riding a horse and a horse riding an astronaut.

When systems like DALL-E make mistakes, the result is amusing, but other AI errors create serious problems. To take another example, a Tesla on autopilot recently drove directly towards a human worker carrying a stop sign in the middle of the road, only slowing down when the human driver intervened. The system could recognize humans on their own (as they appeared in the training data) and stop signs in their usual locations (again as they appeared in the trained images), but failed to slow down when confronted by the unusual combination of the two, which put the stop sign in a new and unusual position.

Unfortunately, the fact that these systems still fail to be reliable and struggle with novel circumstances is usually buried in the fine print. Gato worked well on all the tasks DeepMind reported, but rarely as well as other contemporary systems. GPT-3 often creates fluent prose but still struggles with basic arithmetic, and it has so little grip on reality it is prone to creating sentences like Some experts believe that the act of eating a sock helps the brain to come out of its altered state as a result of meditation, when no expert ever said any such thing. A cursory look at recent headlines wouldnt tell you about any of these problems.

The subplot here is that the biggest teams of researchers in AI are no longer to be found in the academy, where peer review used to be coin of the realm, but in corporations. And corporations, unlike universities, have no incentive to play fair. Rather than submitting their splashy new papers to academic scrutiny, they have taken to publication by press release, seducing journalists and sidestepping the peer review process. We know only what the companies want us to know.

In the software industry, theres a word for this kind of strategy: demoware, software designed to look good for a demo, but not necessarily good enough for the real world. Often, demoware becomes vaporware, announced for shock and awe in order to discourage competitors, but never released at all.

Chickens do tend to come home to roost though, eventually. Cold fusion may have sounded great, but you still cant get it at the mall. The cost in AI is likely to be a winter of deflated expectations. Too many products, like driverless cars, automated radiologists and all-purpose digital agents, have been demoed, publicizedand never delivered. For now, the investment dollars keep coming in on promise (who wouldnt like a self-driving car?), but if the core problems of reliability and coping with outliers are not resolved, investment will dry up. We will be left with powerful deepfakes, enormous networks that emit immense amounts of carbon, and solid advances in machine translation, speech recognition and object recognition, but too little else to show for all the premature hype.

Deep learning has advanced the ability of machines to recognize patterns in data, but it has three major flaws. The patterns that it learns are, ironically, superficial, not conceptual; the results it creates are difficult to interpret; and the results are difficult to use in the context of other processes, such as memory and reasoning. As Harvard computer scientist Les Valiant noted, The central challenge [going forward] is to unify the formulation of learning and reasoning. You cant deal with a person carrying a stop sign if you dont really understand what a stop sign even is.

For now, we are trapped in a local minimum in which companies pursue benchmarks, rather than foundational ideas, eking out small improvements with the technologies they already have rather than pausing to ask more fundamental questions. Instead of pursuing flashy straight-to-the-media demos, we need more people asking basic questions about how to build systems that can learn and reason at the same time. Instead, current engineering practice is far ahead of scientific skills, working harder to use tools that arent fully understood than to develop new tools and a clearer theoretical ground. This is why basic research remains crucial.

That a large part of the AI research community (like those that shout Game Over) doesnt even see that is, well, heartbreaking.

Imagine if some extraterrestrial studied all human interaction only by looking down at shadows on the ground, noticing, to its credit, that some shadows are bigger than others, and that all shadows disappear at night, and maybe even noticing that the shadows regularly grew and shrank at certain periodic intervalswithout ever looking up to see the sun or recognizing the three-dimensional world above.

Its time for artificial intelligence researchers to look up. We cant solve AI with PR alone.

This is an opinion and analysis article, and the views expressed by the author or authors are not necessarily those of Scientific American.

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Artificial General Intelligence Is Not as Imminent as You Might Think - Scientific American