Daily Archives: April 4, 2023

If TikTok is banned, brace for epic First Amendment fight

Posted: April 4, 2023 at 7:31 am

(Reuters) - As Congress and President Joe Biden edge closer to barring the immensely popular video sharing app TikTok Inc from devices in the U.S., free speech advocates are preparing for a fight that would pit the First Amendment against lawmakers concerns about national security.

Sixteen public interest groups, including the ACLU, the Authors Guild and the Knight First Amendment Institute issued a letter to Congress last week, warning that a wholesale ban on TikTok was an ill-advised, blanket approach that would impair free speech and set a troubling precedent. The Electronic Frontier Foundation published a similar policy statement earlier in March, arguing that government has not offered enough specific evidence about TikToks national security risk to justify an outright ban.

Defenders of any TikTok ban, led by the U.S. Justice Department, will surely deny that it intrudes on free speech rights. In fact, if the ban relies on restricting app sales and internet hosting services for TikTok's Chinese parent company, ByteDance Ltd, the Justice Department will likely argue that it doesn't even implicate the First Amendment because it's aimed at commercial transactions, not speech.

The looming First Amendment fight over TikTok will obviously depend on the specifics of any ban. But some basic principles underlie the argument.

To start, TikTok as a U.S.-incorporated subsidiary of ByteDance and its U.S. users are both entitled to free speech protection under the First Amendment. So both, according to Knight First Amendment executive director Jameel Jaffer, would have standing to raise a First Amendment challenge to a ban.

Even TikTok users who merely watch videos without posting their own content, Jaffer said, have a First Amendment right to receive information. That right, he said, extends to propaganda from a foreign government under the U.S. Supreme Courts 1965 decision in Lamont v. Postmaster General, which struck down a federal statute that required people who had been sent communist political propaganda to fill out a government form before they could receive the mail.

But the Supreme Court has also held that the First Amendment does not preclude the government from shutting down a business that distributes information if that business is used for illicit activities. In 1986s Arcara v. Cloud Books, Inc., the justices sided with New York officials who shuttered an adult bookstore suspected of being a prostitution hub, rejecting the booksellers argument that the closure violated his free speech rights.

The government is looking at conduct, not speech, said Joel Thayer of the Digital Progress Institute, who has called for ByteDance to divest ownership of TikTok. Id push back on the idea of First Amendment implications.

If the Biden administration attempts to foreclose U.S. users from accessing TikTok at all, its a good bet that the Justice Department will rely on Arcara precedent to defend the ban.

I can say that with great confidence because the case figures prominently in Justice Department briefing in two previous cases challenging a ban on TikTok.

That's right, previous cases. In 2020, when former President Donald Trump issued executive orders that would effectively have barred TikTok from operating in the U.S., TikTok and three TikTok users filed separate lawsuits to block the orders from taking effect. TikToks lawyers at Covington & Burling sued in federal court in Washington, D.C. TikTok users, represented by Davis Wright Tremaine, sued in Philadelphia federal court. (Neither Covington nor Davis Wright responded to my queries about the prospect of new litigation.)

The federal judges overseeing both cases avoided a reckoning on First Amendment issues. Instead, U.S. District Judges Wendy Beetlestone of Philadelphia (in the TikTok users case) and Carl Nichols of Washington (in TikTok's own case) granted preliminary injunctions because Trump's orders ran afoul of a 1988 statute known as the Berman Amendment, which restricts the presidents authority to use emergency powers to ban the importation of information from foreign countries. The Justice Department appealed those rulings but dropped the appeals after the Biden administration rescinded Trumps TikTok orders.

Congress is now considering legislation that, in effect, would loosen the Berman Amendments constraints, removing the statute as an obstacle for presidential action on TikTok. That, in turn, which would make the First Amendment the primary line of attack on a TikTok ban.

The Justice Department, as I mentioned, argued in the 2020 TikTok users case that any First Amendment analysis should focus on actual prohibitions including a ban on internet hosting services for ByteDance rather than the downstream impact on TikTok users.

The restrictions here do not trigger First Amendment scrutiny because they regulate only economic transactions based on national-security concerns, DOJ asserted. Any effects on speech are incidental. (Justice Department lawyers also argued that TikTok users would have access to plenty of other platforms to share and consume videos.)

But David Greene of Electronic Frontier Foundation told me that the government cant entirely evade challengers First Amendment arguments by claiming that a TikTok ban only regulates commercial transactions, not speech. At best, he said, such an argument might persuade a court to examine the First Amendment implications of the TikTok ban using an intermediate level of scrutiny.

That inquiry, which is the usual standard for broad-based, content-neutral speech restrictions, would require the government to show that it narrowly tailored speech limitations to serve an important government interest. No one would argue that national security is not an important interest, of course, but TikTok, TikTok users and their supporters will likely assert that a wholesale ban is too blunt an instrument.

That strategy, after all, worked for users of the China-based messaging and social media platform WeChat, which the Trump administration effectively banned in 2020. U.S. Magistrate Judge Lauren Beeler granted a preliminary injunction against the restrictions, ruling that its users were likely to prevail on their claims that the ban was an overly broad response to the threat it was intended to address.

Beelers ruling was not tested through an appeal because the Biden administration dropped the WeChat ban. But you can bet its getting a thorough reading from lawyers waiting for action on TikTok.

Read more:

US House speaker says lawmakers to move forward with TikTok bill

Factbox -- Why a broad US TikTok ban is unlikely to take effect soon

Second U.S. judge blocks Commerce restrictions on TikTok

Reporting By Alison Frankel, editing by Leigh Jones

Our Standards: The Thomson Reuters Trust Principles.

Opinions expressed are those of the author. They do not reflect the views of Reuters News, which, under the Trust Principles, is committed to integrity, independence, and freedom from bias.

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Alison Frankel has covered high-stakes commercial litigation as a columnist for Reuters since 2011. A Dartmouth college graduate, she has worked as a journalist in New York covering the legal industry and the law for more than three decades. Before joining Reuters, she was a writer and editor at The American Lawyer. Frankel is the author of Double Eagle: The Epic Story of the Worlds Most Valuable Coin.

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If TikTok is banned, brace for epic First Amendment fight

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PM Narendra Modi e-inaugurating new office complexes of CBI at Shilong, Pune and Nagpur, commemorating the CBI diamond jubilee on Monday. Also seen…

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PM Narendra Modi e-inaugurating new office complexes of CBI at Shilong, Pune and Nagpur, commemorating the CBI diamond jubilee on Monday. Also seen are Union Minister Dr Jitendra Singh and NSA Ajit Doval.  Daily Excelsior

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PM Narendra Modi e-inaugurating new office complexes of CBI at Shilong, Pune and Nagpur, commemorating the CBI diamond jubilee on Monday. Also seen...

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What Is Artificial Intelligence (AI)? | Google Cloud

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A common type of training model in AI is an artificial neural network, a model loosely based on the human brain.

A neural network is a system of artificial neuronssometimes called perceptronsthat are computational nodes used to classify and analyze data. The data is fed into the first layer of a neural network, with each perceptron making a decision, then passing that information onto multiple nodes in the next layer. Training models with more than three layers are referred to as deep neural networks or deep learning. Some modern neural networks have hundreds or thousands of layers. The output of the final perceptrons accomplish the task set to the neural network, such as classify an object or find patterns in data.

Some of the most common types of artificial neural networks you may encounter include:

Feedforward neural networks (FF) are one of the oldest forms of neural networks, with data flowing one way through layers of artificial neurons until the output is achieved. In modern days, most feedforward neural networks are considered deep feedforward with several layers (and more than one hidden layer). Feedforward neural networks are typically paired with an error-correction algorithm called backpropagation that, in simple terms, starts with the result of the neural network and works back through to the beginning, finding errors to improve the accuracy of the neural network. Many simple but powerful neural networks are deep feedforward.

Recurrent neural networks (RNN) differ from feedforward neural networks in that they typically use time series data or data that involves sequences. Unlike feedforward neural networks, which use weights in each node of the network, recurrent neural networks have memory of what happened in the previous layer as contingent to the output of the current layer. For instance, when performing natural language processing, RNNs can keep in mind other words used in a sentence. RNNs are often used for speech recognition, translation, and to caption images.

Long/short term memory (LSTM) are an advanced form of RNN that can use memory to remember what happened in previous layers. The difference between RNNs and LTSM is that LTSM can remember what happened several layers ago, through the use of memory cells. LSTM is often used in speech recognition and making predictions.

Convolutional neural networks (CNN) include some of the most common neural networks in modern artificial intelligence. Most often used in image recognition, CNNs use several distinct layers (a convolutional layer, then a pooling layer) that filter different parts of an image before putting it back together (in the fully connected layer). The earlier convolutional layers may look for simple features of an image such as colors and edges, before looking for more complex features in additional layers.

Generative adversarial networks (GAN) involve two neural networks competing against each other in a game that ultimately improves the accuracy of the output. One network (the generator) creates examples that the other network (the discriminator) attempts to prove true or false. GANs have been used to create realistic images and even make art.

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The Future of AI: How AI Is Changing the World | Built In

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If it feels like the future of AI is a rapidly changing landscape, thats because the present innovations in the field of artificial intelligence are accelerating at such a blazing-fast pace that its tough to keep up.

Indeed, artificial intelligence is shaping the future of humanity across nearly every industry. It is already the main driver of emerging technologies like big data, robotics and IoT not to mention generative AI, with tools like ChatGPT and AI art generators garnering mainstream attention and it will continue to act as a technological innovator for the foreseeable future.

Roughly 44 percent of companies are looking to make serious investments in AI and integrate it into their businesses. And of the 9,130 patents received by IBM inventors in 2021, 2,300 were AI-related.

It seems likely that AI is going to (continue to) change the world. But how, exactly?

More on the Future of AICan AI Make Art More Human?

AIs influence on technology is due in part because of how it impacts computing. Through AI, computers have the ability to harness massive amounts of data and use their learned intelligence to make optimal decisions and discoveries in fractions of the time that it would take humans.

AI has come a long way since 1951, when the first documented success of an AI computer program was written by Christopher Strachey, whose checkers program completed a whole game on the Ferranti Mark I computer at the University of Manchester.

Since then, AI has been used to help sequence RNA for vaccines and model human speech, technologies that rely on model- and algorithm-based machine learning and increasingly focus on perception, reasoning and generalization. With innovations like these, AI has re-taken center stage like never before and it wont cede the spotlight anytime soon.

Theres virtually no major industry that modern AI more specifically, narrow AI, which performs objective functions using data-trained models and often falls into the categories of deep learning or machine learning hasnt already affected. Thats especially true in the past few years, as data collection and analysis has ramped up considerably thanks to robust IoT connectivity, the proliferation of connected devices and ever-speedier computer processing.

I think anybody making assumptions about the capabilities of intelligent software capping out at some point are mistaken, David Vandegrift, CTO and co-founder of the customer relationship management firm 4Degrees, said.

With companies spending billions of dollars on AI products and services annually, tech giants like Google, Apple, Microsoft and Amazon spending billions to create those products and services, universities making AI a more prominent part of their curricula and the U.S. Department of Defense upping its AI game, big things are bound to happen.

Lots of industries go through this pattern of winter, winter, and then an eternal spring, former Google Brain leader and Baidu chief scientist Andrew Ng told ZDNet. We may be in the eternal spring of AI.

Some sectors are at the start of their AI journey, others are veteran travelers. Both have a long way to go. Regardless, the impact AI is having on our present day lives is hard to ignore.

Transportation is one industry that is certainly teed up to be drastically changed by AI. Self-driving cars and AI travel planners are just a couple of facets of how we get from point A to point B that will be influenced by AI. Even though autonomous vehicles are far from perfect, they will one day ferry us from place to place.

Manufacturing has been benefiting from AI for years. With AI-enabled robotic arms and other manufacturing bots dating back to the 1960s and 1970s, the industry has adapted well to the powers of AI. These industrial robots typically work alongside humans to perform a limited range of tasks like assembly and stacking, and predictive analysis sensors keep equipment running smoothly.

It may seem unlikely, but AI healthcare is already changing the way humans interact with medical providers. Thanks to its big data analysis capabilities, AI helps identify diseases more quickly and accurately, speed up and streamline drug discovery and even monitor patients through virtual nursing assistants.

AI in education will change the way humans of all ages learn. AIs use of machine learning, natural language processing and facial recognition help digitize textbooks, detect plagiarism and gauge the emotions of students to help determine whos struggling or bored. Both presently and in the future, AI tailors the experience of learning to students individual needs.

Journalism is harnessing AI too, and will continue to benefit from it. One example can be seen in The Associated Press use of Automated Insights, which produces thousands of earning reports stories per year. But as generative AI writing tools, such as ChatGPT, enter the market, questions about their use in journalism abound.

Most people dread getting a robo-call, but AI in customer service can provide the industry with data-driven tools that bring meaningful insights to both the customer and the provider. AI tools powering the customer service industry come in the form of chatbots and virtual assistants.

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During a lecture at Northwestern University, AI expert Kai-Fu Lee championed AI technology and its forthcoming impact while also noting its side effects and limitations. Of the former, he warned:

The bottom 90 percent, especially the bottom 50 percent of the world in terms of income or education, will be badly hurt with job displacement The simple question to ask is, How routine is a job? And that is how likely [it is] a job will be replaced by AI, because AI can, within the routine task, learn to optimize itself. And the more quantitative, the more objective the job isseparating things into bins, washing dishes, picking fruits and answering customer service callsthose are very much scripted tasks that are repetitive and routine in nature. In the matter of five, 10 or 15 years, they will be displaced by AI.

In the warehouses of online giant and AI powerhouse Amazon, which buzz with more than 100,000 robots, picking and packing functions are still performed by humans but that will change.

Lees opinion was echoed by Infosys president Mohit Joshi, who told the New York Times, People are looking to achieve very big numbers. Earlier they had incremental, five to 10 percent goals in reducing their workforce. Now theyre saying, Why cant we do it with one percent of the people we have?

On a more upbeat note, Lee stressed that todays AI is useless in two significant ways: it has no creativity and no capacity for compassion or love. Rather, its a tool to amplify human creativity. His solution? Those with jobs that involve repetitive or routine tasks must learn new skills so as not to be left by the wayside. Amazon even offers its employees money to train for jobs at other companies.

One of the absolute prerequisites for AI to be successful in many [areas] is that we invest tremendously in education to retrain people for new jobs, said Klara Nahrstedt, a computer science professor at the University of Illinois at UrbanaChampaign and director of the schools Coordinated Science Laboratory.

Shes concerned thats not happening widely or often enough. Marc Gyongyosi, founder of Onetrack.AI, is even more specific.

People need to learn about programming like they learn a new language, he said. And they need to do that as early as possible because it really is the future. In the future, if you dont know coding, you dont know programming, its only going to get more difficult.

While many of those who are forced out of jobs by technology will find new ones, Vandegrift said, that wont happen overnight. As with Americas transition from an agricultural to an industrial economy during the Industrial Revolution, which played a big role in causing the Great Depression, people eventually got back on their feet. The short-term impact, however, was massive.

The transition between jobs going away and new ones [emerging], Vandegrift said, is not necessarily as painless as people like to think.

Mike Mendelson, a learner experience designer for NVIDIA, is a different kind of educator than Nahrstedt. He works with developers who want to learn more about AI and apply that knowledge to their businesses.

If they understand what the technology is capable of and they understand the domain very well, they start to make connections and say, Maybe this is an AI problem, maybe thats an AI problem, he said. Thats more often the case than I have a specific problem I want to solve.

More on AI54 AI Companies Delivering on Innovation

In Mendelsons view, some of the most intriguing AI research and experimentation that will have near-future ramifications is happening in two areas: reinforcement learning, which deals in rewards and punishment rather than labeled data; and generative adversarial networks (GAN for short) that allow computer algorithms to create rather than merely assess by pitting two nets against each other. The former is exemplified by the prowess of Google DeepMinds AlphaGo Zero, the latter by original image or audio generation thats based on learning about a certain subject like celebrities or a particular type of music.

On a far grander scale, AI is poised to have a major effect on sustainability, climate change and environmental issues. Ideally and partly through the use of sophisticated sensors, cities will become less congested, less polluted and generally more livable.

Once you predict something, you can prescribe certain policies and rules, Nahrstedt said. Such as sensors on cars that send data about traffic conditions could predict potential problems and optimize the flow of cars. This is not yet perfected by any means, she said. Its just in its infancy. But years down the road, it will play a really big role.

Of course, much has been made of the fact that AIs reliance on big data is already impacting privacy in a major way. Look no further than Cambridge Analyticas Facebook shenanigans or Amazons Alexa eavesdropping, two among many examples of tech gone wild. Without proper regulations and self-imposed limitations, critics argue, the situation will get even worse. In 2015, Apple CEO Tim Cook derided competitors Google and Meta for greed-driven data mining.

Theyre gobbling up everything they can learn about you and trying to monetize it, he said in a 2015 speech. We think thats wrong.

Later, during a talk in Brussels, Belgium, Cook expounded on his concern.

Advancing AI by collecting huge personal profiles is laziness, not efficiency, he said. For artificial intelligence to be truly smart, it must respect human values, including privacy. If we get this wrong, the dangers are profound.

Plenty of others agree. In a 2018 paper published by UK-based human rights and privacy groups Article 19 and Privacy International, anxiety about AI is reserved for its everyday functions rather than a cataclysmic shift like the advent of robot overlords.

If implemented responsibly, AI can benefit society, the authors wrote. However, as is the case with most emerging technology, there is a real risk that commercial and state use has a detrimental impact on human rights.

The authors concede that the collection of large amounts of data can be used for trying to predict future behavior in benign ways, like spam filters and recommendation engines. But theres also a real threat that it will negatively impact personal privacy and the right to freedom from discrimination.

Related ReadingOnline Privacy: A Guide to How Your Personal Data Is Used

Speaking at Londons Westminster Abbey in late 2018, internationally renowned AI expert Stuart Russell joked (or not) about his formal agreement with journalists that I wont talk to them unless they agree not to put a Terminator robot in the article.

His quip revealed an obvious contempt for Hollywood representations of far-future AI, which tend toward the overwrought and apocalyptic. What Russell referred to as human-level AI, also known as artificial general intelligence (AGI), has long been fodder for fantasy. But the chances of its being realized anytime soon, or at all, are pretty slim.

There are still major breakthroughs that have to happen before we reach anything that resembles human-level AI, Russell explained.

Russel also pointed out that AI is not currently equipped to fully understand language. This shows a distinct difference between humans and AI at the present moment: Humans can translate machine language and understand it, but AI cant do the same for human language. However, if we reach a point where AI is able to understand our languages, AI systems would be able to read and understand everything ever written.

Once we have that capability, you could then query all of human knowledge and it would be able to synthesize and integrate and answer questions that no human being has ever been able to answer, Russell added, because they havent read and been able to put together and join the dots between things that have remained separate throughout history.

This offers us a lot to think about. On the subject of which, emulating the human brain is exceedingly difficult and yet another reason for AGIs still-hypothetical future. Longtime University of Michigan engineering and computer science professor John Laird has conducted research in the field for several decades.

The goal has always been to try to build what we call the cognitive architecture, what we think is innate to an intelligence system, he says of work thats largely inspired by human psychology. One of the things we know, for example, is the human brain is not really just a homogenous set of neurons. Theres a real structure in terms of different components, some of which are associated with knowledge about how to do things in the world.

Thats called procedural memory. Then theres knowledge based on general facts, a.k.a. semantic memory, as well as knowledge about previous experiences (or personal facts) which is called episodic memory. One of the projects at Lairds lab involves using natural language instructions to teach a robot simple games like Tic-Tac-Toe and puzzles. Those instructions typically involve a description of the goal, a rundown of legal moves and failure situations. The robot internalizes those directives and uses them to plan its actions. As ever, though, breakthroughs are slow to come slower, anyway, than Laird and his fellow researchers would like.

Every time we make progress, he says, we also get a new appreciation for how hard it is.

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More than a few leading AI figures subscribe (some more hyperbolically than others) to a nightmare scenario that involves whats known as singularity, whereby superintelligent machines take over and permanently alter human existence through enslavement or eradication.

The late theoretical physicist Stephen Hawking famously postulated that if AI itself begins designing better AI than human programmers, the result could be machines whose intelligence exceeds ours by more than ours exceeds that of snails. Elon Musk believes and has warned that AGI is humanitys biggest existential threat. Efforts to bring it about, he has said, are like summoning the demon. He has even expressed concern that his pal, Google co-founder Larry Page could accidentally shepherd something evil into existence despite his best intentions.

Even Gyongyosi rules nothing out. Hes no alarmist when it comes to AI predictions, but at some point, he says, humans will no longer need to train systems; theyll learn and evolve on their own.

I dont think the methods we use currently in these areas will lead to machines that decide to kill us, Gyongyosi said. I think that maybe five or 10 years from now, Ill have to reevaluate that statement because well have different methods available and different ways to go about these things.

While murderous machines may well remain fodder for fiction, many believe theyll supplant humans in various ways.

Oxford Universitys Future of Humanity Institute published the results of an AI survey. Titled When Will AI Exceed Human Performance? Evidence from AI Experts, it contains estimates from 352 machine learning researchers about AIs evolution in years to come.

There were lots of optimists in this group. By 2026, a median number of respondents said, machines will be capable of writing school essays; by 2027 self-driving trucks will render drivers unnecessary; by 2031 AI will outperform humans in the retail sector; by 2049 AI could be the next Stephen King and by 2053 the next Charlie Teo. The slightly jarring capper: By 2137, all human jobs will be automated. But what of humans themselves? Sipping umbrella drinks served by droids, no doubt.

Diego Klabjan, a professor at Northwestern University and founding director of the schools Master of Science in Analytics program, counts himself an AGI skeptic.

Currently, computers can handle a little more than 10,000 words, he said. So, a few million neurons. But human brains have billions of neurons that are connected in a very intriguing and complex way, and the current state-of-the-art [technology] is just straightforward connections following very easy patterns. So going from a few million neurons to billions of neurons with current hardware and software technologies I dont see that happening.

Recommended Reading7 Dangerous Risks of Artificial Intelligence

Klabjan also puts little stock in extreme scenarios the type involving, say, murderous cyborgs that turn the earth into a smoldering hellscape. Hes much more concerned with machines war robots, for instance being fed faulty incentives by nefarious humans. As MIT physics professors and leading AI researcher Max Tegmark put it in a 2018 TED Talk, The real threat from AI isnt malice, like in silly Hollywood movies, but competence AI accomplishing goals that just arent aligned with ours.

Thats Lairds take, too: I definitely dont see the scenario where something wakes up and decides it wants to take over the world, he said. I think thats science fiction and not the way its going to play out.

What Laird worries most about isnt evil AI, per se, but evil humans using AI as a sort of false force multiplier for things like bank robbery and credit card fraud, among many other crimes. And so, while hes often frustrated with the pace of progress, AIs slow burn may actually be a blessing.

Time to understand what were creating and how were going to incorporate it into society, Laird said, might be exactly what we need.

But no one knows for sure.

There are several major breakthroughs that have to occur, and those could come very quickly, Russell said during his Westminster talk. Referencing the rapid transformational effect of nuclear fission (atom splitting) by British physicist Ernest Rutherford in 1917, he added, Its very, very hard to predict when these conceptual breakthroughs are going to happen.

But whenever they do, if they do, he emphasized the importance of preparation. That means starting or continuing discussions about the ethical use of AGI and whether it should be regulated. That means working to eliminate data bias, which has a corrupting effect on algorithms and is currently a fat fly in the AI ointment. That means working to invent and augment security measures capable of keeping the technology in check. And it means having the humility to realize that just because we can doesnt mean we should.

Most AGI researchers expect AGI within decades, and if we just bumble into this unprepared, it will probably be the biggest mistake in human history. It could enable brutal global dictatorship with unprecedented inequality, surveillance, suffering and maybe even human extinction, Tegmark said in his TED Talk. But if we steer carefully, we could end up in a fantastic future where everybodys better off the poor are richer, the rich are richer, everybodys healthy and free to live out their dreams.

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I used to work at Google and now I’m an AI researcher. Here’s why slowing down AI development is wise – The Conversation

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  1. I used to work at Google and now I'm an AI researcher. Here's why slowing down AI development is wise  The Conversation
  2. AI Is Getting Powerful. But Can Researchers Make It Principled?  Scientific American
  3. Should we fear the rise of artificial general intelligence?  Computerworld

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I used to work at Google and now I'm an AI researcher. Here's why slowing down AI development is wise - The Conversation

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Best Online Casinos Real Money for USA Players in 2023

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Best Online Casinos Real Money for USA Players in 2023

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Online Casino For Real Money List of TOP 10 Best Casinos 2023

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Best online real money casinos - selection 2023

As you already know, the casino you choose greatly influences your winnings. Its important to do your research before picking an online casino to be sure its the right fit for you. But we've got you covered if you dont have time to do all that research. Weve compiled a list of the best online casinos for real money so you can start gambling immediately.

This site has a wide range of games to choose from, along with generous bonuses and promotions. With a $5000 welcome bonus, you cant go wrong.

This website has a good reputation and is known for being reliable and fair. It offers many games, including slots, table games, video poker, and more. The payouts are fast, and the bonuses are generous.

This casino is known for its large selection of slot games. There are over 200 to choose from, including many popular titles. With a wide range of stakes, you can find a game to suit any budget.

This casino offers a great selection of games across all genres. Youll find slots, table games, video poker, and more. With many years in the industry, BetOnline is a trusted name you can count on.

This casino is about slots, with hundreds of titles to choose from. But they also offer a good selection of table games and video poker machines. The promotional system is also great, with regular bonuses and free spins offered to keep players interested.

As one of the newest online casinos, Lucky Creek is quickly making a name for itself as a top choice for gambling. With over 500 games to choose from, including slots, table games, and more theres something for everyone at this casino.

One of the newer casinos, Ducky Luck is already making a splash in the gambling industry. With over 1000 games to choose from and plenty of bonuses and promotions this casino is worth checking out.

This is one of the most popular websites for US players. It has a large selection of games and a sportsbook and poker room. The payouts are fast, and the site is easy to use.

Another great option for gambling online, Treasure Mile offers a wide variety of games and regular bonuses. This casino is definitely worth a visit if youre looking for somewhere enjoyable to gamble.

Casino Max is quickly becoming a favorite among gamblers as one of the newest online casinos. With plenty of games, bonuses, and promotions theres something for everyone at this casino.

With so many great online casinos to choose from, its easy to find one that suits your needs. Be sure to research, read reviews before signing up for any casino, and always gamble responsibly.

Online casinos provide numerous opportunities for players to win real money. Gamblers can try their luck in slot machines, table games, video poker, and many other casino staples from their homes. However, with such a wide variety of choices comes great responsibility to win, players must be well-prepared and know what theyre doing. While there is no surefire way to guarantee success in an online casino, specific strategies can help you boost your chances of winning. This guide provides seven essential tips that all players should follow to improve their performance in online casinos.

Conventional wisdom suggests that the house always wins in a casino. However, this outdated thinking doesnt apply to online casinos with the right approach, it is possible to win real money while gambling online. Of course, your chances of winning will depend on luck, but there are specific strategies you can use to improve your game and give yourself a better chance of cashing in at a casino.

Also, note that different casino games offer different odds. For instance, slots are generally seen as a game of pure luck, while blackjack and video poker require more skill to achieve consistent wins.

That being said, there are ways to increase your chances of winning in online casinos regardless of your game. The following tips will help you get the most out of your gambling experience and potentially walk away with some extra cash.

There is no one-size-fits-all answer to this question since different players have different gaming styles. However, the following tips can help you improve your chances of winning in online casinos.

The house edge is the mathematical advantage that casinos have over players. Its expressed as a percentage and indicates how much of your money you can expect to lose in the long run.

For instance, if a game has a 5% house edge, you can expect to lose $5 for every $100 that you bet. Naturally, games with a lower house edge are more favorable for players since they provide better odds of winning. When choosing casino games, stick to those with a low house edge, such as blackjack and baccarat.

As for slots, the average payout percentage ( RTP ) can indicate a games house edge. A higher RTP means that the slot pays out more often, which is favorable for players. Good slots have an RTP of 96% or higher. It is also recommended to avoid slots with high jackpots since they tend to have lower RTPs.

In games where skill is a factor, its important to use the correct strategy. For instance, in blackjack, a specific way to play each hand gives you the best chance of winning. This approach is a basic strategy and can be learned through online resources or by purchasing blackjack books/apps.

Similarly, optimal video poker strategies have been devised for different types of machines. Players can use these approaches to increase their chances of success while playing casino games like blackjack and video poker.

Also, remember that practice makes perfect the more you play, the better your understanding of basic strategy will become.

When gambling online, its important to manage your bankroll wisely. Your bankroll is the amount of money you have set aside for gambling it should be an amount you can afford to lose without affecting your finances.

Once you have determined your bankroll, its essential to stick to it. When playing casino games, always bet within your limits and never chase losses. Chasing losses is a common mistake made by inexperienced players who try to recoup their previous losses by making higher bets. This often leads to even bigger losses which could crater their bankrolls completely.

If you lose consistently, take a break from gambling or switch games altogether. Its also a good idea not to use bonuses if they require betting more than whats comfortable for you. Remember: the goal is to have fun while safely managing your money!

Progressive betting systems are strategies that involve increasing or decreasing your bet size based on whether you win or lose. Martingale is the most popular progressive system it dictates that players should double their bets after a loss and return to their original stake after a win. While this may sound like an effective way to recoup losses, the reality is that progressive betting systems can quickly lead to ruin since they dont consider variance.

Rather than trying out some complicated betting system, stick to flat stakes (bets of equal sizes) to minimize risk. Also, be sure to set a budget for your gambling sessions and stick to it this will help you avoid making impulsive bets that can lead to costly losses.

Not all online casinos are created equal. Some platforms are more reliable than others and offer a better gambling experience to their players. When choosing an online casino, do your research and only play in those with a good reputation.

Start by checking if the casino has a valid license from a reputable regulator such as the UK Gambling Commission or the Malta Gaming Authority. You should also read player reviews of different casinos before making your choice. Only play in those that have mostly positive feedback from other gamblers.

Also, consider the casinos selection of games, bonuses, and payment methods. The best online casinos offer various slots, table games from different software providers, and generous welcome bonuses for new players.

Most online casinos offer some sort of bonus or promotion to attract new players. These can include welcome bonuses, reload bonuses, and free spins.

As a player, you should always take advantage of these casino promotions since they provide an easy way to boost your bankroll. For instance, a 100% deposit match bonus will double your money, meaning youll have twice as much cash to play with. Just make sure to read the terms and conditions before claiming any offers since wagering requirements and other restrictions may apply.

As a general rule, look for casino promotions with low wagering requirements and no maximum cashout limit. These are the most player-friendly offers and provide the best chance to win real money.

If youre new to online gambling, trying out some free casino games might be a good idea. This will allow you to get familiar with the rules and gameplay of different titles without risking any of your own money. Once you feel confident enough, you can start playing for real money.

Many reputable online casinos offer demo versions or practice modes of popular slots and table games. These are a great way to learn how different games work and develop your strategy before betting actual cash on them.

While there are many ways to pick a reliable gambling website, the following factors should be taken into consideration:

With these factors in mind, you should be able to find a gambling website that suits your needs and gives you the best chance of winning. You will also find several casinos that fulfill these criteria in our list below.

As you can see, there are many opportunities to win real money in online casinos. Following these seven essential tips can improve your chances of success and have more fun while gambling. And remember that you need to be smart and responsible while gambling online, but if you do that you can have a great time and maybe even walk away with some extra cash.

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Online Casino For Real Money List of TOP 10 Best Casinos 2023

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Employee of Online Casino Company Accused of Cheating to Win $50,000 on Blackjack – NBC Connecticut

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Employee of Online Casino Company Accused of Cheating to Win $50,000 on Blackjack  NBC Connecticut

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Employee of Online Casino Company Accused of Cheating to Win $50,000 on Blackjack - NBC Connecticut

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