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Superconductivity is one example of intriguing quantum behavior. The mechanism and purpose of superconductivity were not fully understood until 1957. At normal temperatures, electrons move around mainly on their own. They collide with other particles, changing their speed and direction and releasing energy. However, electrons can arrange themselves into a different state of matter at low temperatures.

They form pairs bound together into a collective state that behaves like a single entity. They can be compared to army soldiers. They are simpler to deflect when they move independently. However, it is far more difficult to destabilize them while they are marching in unison and lockstep. This collective state has a strong current carrying capacity.

Now, physicists have identified a mechanism for forming oscillating superconductivity known as pair-density waves. Their discovery offers insight into an unconventional, superconductive state in certain materials, including high-temperature superconductors.

Luiz Santos, assistant professor of physics at Emory University and senior author of the study, said,We discovered that structures known as Van Hove singularities can produce modulating, oscillating states of superconductivity. Our work provides a new theoretical framework for understanding the emergence of this behavior, a phenomenon that is not well understood.

Santos study focuses on how interactions between electrons can produce superconductivity in ways that defy the 1957 description of the phenomenon. Oscillating superconductivity, where the paired electrons dance in waves and change amplitude, illustrates this allegedly strange phenomenon.

In a separate study, Santos instructed Castro to look into unique Van Hove singularity characteristicsstructures where many electronic states are compressed in energy. According to Castros research, the singularities appeared to have the proper physics to give rise to oscillatory superconductivity.

That motivated Santos and his associates to look further. They discovered a mechanism by which Van Hove singularities could produce these superconducting dancing-wave states.

Santos says,As theoretical physicists, we want to be able to predict and classify behavior to understand how nature works. Then we can start to ask questions with technological relevance.

Some high-temperature superconductors exhibit this dancing-wave behavior when operating roughly three times as low as a refrigerators freezer. Experimentalists might build on understanding how this behavior can result from Van Hove singularities to investigate the range of opportunities it presents.

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I'm watching Jesus on Twitch. He's a bearded white man answering philosophical (and not so philosophical) questions from the chat. Just type out a question and Jesus will answer.

Of course, Jesus is an AI. At one point, he even admits he's "not the physical Jesus", so at least he sounds self aware. The channel states it was made possible due to contributions from The Singularity Group - not a Christian organisation - and tech from PlayHT, an AI-powered voice generation platform that replicates celebrity voices.

Whose face and voice is used for AI Jesus? It's unclear. Is it entertaining? Sort of. Is this really the sort of content Twitch should be used for? Debatable.

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I switch to another channel. This time it's a presidential debate between Trump and Biden, also made possible by The Singularity Group. Again, viewers can ask a question through typing in chat, but mostly it's just an excuse to attempt to make both presidents say something silly.

Twitch is actively promoting this type of content. Scroll down on the homepage and you'll find a section called 'Probably Artificial, Hopefully Intelligent: AI powered streams and related discussions', filled with recommended streams powered by AI.

Users in another stream recommended to me are busy whipping up false drama in a channel where you can control AI versions of popular streamers and celebrities. Amouranth, Asmongold, and Kai Cenat are all available as choices, alongside Elon Musk, President Obama, Gordon Ramsay, and even Steve Jobs.

The use of AI in the video game industry is becoming an increasingly prevalent debate: from its use in scriptwriting and art, to actors having their likenesses used for deepfake mods.

But what are the dangers of using AI in Twitch streams? And why is Twitch promoting it?

Firstly, who is The Singularity Group? Its website describes the outfit as a "group of driven and ambitious volunteer activists working on innovative projects to make a real difference in the world". Its vision focuses specifically on Universal Basic Income, stating the potential to implement this is "totally feasible by making use of the right technologies".

How? Crypto, for one. Mobile Minigames is one of The Singularity Group's biggest projects, in which users play a charity-focused mobile game to earn an income through the in-game currency Crypton which can then be traded outside the game. The game also allows users to create and play as their own NFT.

Twitch livestreams are just another project for the activist group. The Singularity Group says its livestreams are created by volunteers and include "experimental shows aimed at innovating entertainment, fundraising and raising awareness via cutting-edge AI technology". Indeed, the aforementioned streams do include options to donate to the stream owners (rather than charity), but where exactly is that money going?

"Right now, we are focused on AGI [Artificial General Intelligence] research since we see this as by far the most important issue we could currently focus on," The Singularity Group co-founder Reese Leysen told me, when I got in contact.

"With OpenAI, Google, Facebook and many others rushing ahead to maximise the commercial potential of AI while only adding primitive additional layers to keep it 'aligned', we find it extremely important that there's serious R&D going into creating AI (and ultimately AGI) that fundamentally has the right architecture for independent reasoning and emergent understanding of reality and ethics rather than simply building intelligent systems that have no real reasoning processes at their core and are therefore nearly impossible to 'align', leading to potentially unprecedented risks to society and humanity."

As such, these AI streams on Twitch are designed as small, limited showcases of the technology, which Leysen said will help establish The Singularity Group "as a research group and attract more talent that's active in the open source AI community, leading to more collaboration". Simply: it's data collection and recruitment.

Twitch was chosen as a platform for this as it's "by far the easiest to gain momentum on", Leysen said, before noting Twitch's enforcement of guidelines could still sometimes be strict and unpredictable, making autonomous and interactive 24/7 AI livestreams challenging.

"As a result, we've actually dedicated the majority of our efforts and resources over the past eight months to developing our own advanced moderation systems to try to avoid running into issues where the AIs output anything that could go against Twitch's rules," he added.

Any money raised by these streams through donations goes directly into researching and developing AI streams further. The group's technology now allows AI to react in real-time to YouTube videos, for example, as well as near zero-latency real-time voice interaction so conversations can flow naturally. Said Leysen: "These are concepts we're likely to showcase in new streams we will soon launch, with different characters and formats."

Leysen defended the use of cryptocurrency for its Mobile Minigames as another way to fundraise. "As activists, we've always tried to focus our efforts wherever we can have the biggest possible positive impact," he said. "At one point, we realised we couldn't scale up our charity efforts any further unless we had something like a mobile game that would sustainably fundraise instead of the fundraising depending solely on our livestreams."

However, the rise in AI technology has caused the group to shift focus. "Ever since DALL-E and ChatGPT started gaining momentum, we began to shift our priorities towards AI research due to how disruptive it would quickly become to society and how AGI may well emerge within the coming decade, making it a priority for us to contribute what we can towards safer and more responsibly developed fundamental AI architectures," he continued.

There's plenty of scepticism around both AI and cryptocurrency at the moment, something Leysen blamed on discourse often being "quite simple and tribal". The group is "mostly focusing our efforts towards technical contributions to the AI landscape rather than trying to change people's minds", he said, adding that AI was now in the hands of the masses, rather than only big corporations. Indeed, Leysen sees it as important that smaller groups also make AI progress.

"We're doing everything we can to develop technology that could eventually lead us to a form of AGI that reasons responsibly and constructively rather than possibly becoming an unimaginable super weapon controlled by giant corporations," said Leysen, evoking a hint of cyberpunk. But numerous issues with disreputable companies creating unregulated AI content remain.

The question of deepfake content on Twitch remains a major area of concern. Earlier this year, the platform was forced to update its policy on explicit deepfake content after images of female streamers were created and shared online. As Kotaku reported at the time, streamer Brandon "Atrioc" Ewing accidentally revealed he had explicit deepfake streamer content on his computer and the women affected were unaware of its existence.

As a result, Twitch issued a policy that explicit deepfake content - or what it calls "synthetic non-consensual exploitative images" (NCEI) - is prohibited on the platform. "The creation, promotion, or viewing of this content is not welcome on Twitch," it said.

However, the policy also covered the "emerging trend" of deepfake content, which Twitch said "will require careful and thoughtful consideration in our planning, response, and actions". It continued: "Not all synthetically created content is sexual in nature, nor is all of it non-consensual. This topic is very much on our radar, and we are always monitoring emerging behaviours to ensure our policies remain relevant to what's happening on our service."

In addition, Twitch recently updated its safety efforts to protect children, including ensuring the removal of exploitative content like generative AI-enabled Child Sexual Abuse Material (CSAM).

Still, deepfake and AI content is allowed on Twitch, including the use of real-world figures like Biden and Trump, though there is a clear line with explicit content. "It's an area we will continue to pay attention to but I think streamers will be the innovators here," VP of product Jeremy Forrester told me at TwitchCon Paris earlier this year, discussing the topic of AI as a potential area for growth.

In a new statement to Eurogamer, VP of global partnerships at Twitch Pontus Eskilsson said: "Twitch streamers are renowned for their creativity and, even at this early stage, some streamers have started experimenting with AI to create remarkably unique content - opening up new creative opportunities for animated streams and VTubing, as well as streaming their technical efforts training new models.

"Even with the presence of this interesting and timely subgenre of Twitch, the core of our service will always be about helping people on Twitch find community, and ensuring they're able to do so safely. All streamers and channels on our service are subject to Twitch's sitewide community guidelines and terms of service, whether they utilise AI or not."

Leysen also commented on the moral responsibility of deepfake content through AI. "Our stance in this regard is quite traditional: any use of the technology to intentionally deceive is problematic and platforms like Twitch will increasingly have to find ways to prevent abuse in those regards, which is quite a challenge," he said.

"We hope that our showcases do help to raise awareness around this and we often do see people who find our streams being shocked at what the technology is already capable of, which then makes them think twice next time they see a creator/celebrity/politician appear in a context where there might be reason for it to have been faked."

He added for The Singularity Group's streams where characters are based on real-life individuals, the content is clearly labelled as parody and meets fair use criteria. The aforementioned streamer drama AI streams are an example of this.

"Even though our AI parody characters may be vulgar and unhinged, we put in tons of work to try to make sure their output is not insensitive towards their personal background," said Leysen. "Exceptions to this are cases where streamers have reached out to us and explicitly told us that nothing is off-limits and they actually want their AI parody to freely play with any and all known information about them. Thus far we've had no streamers complain to us and we've heard from many of them that they loved our creations, quite a few have also done live reactions to our streams that featured the AI parody of them."

It's clear, then, that AI content and streams are here to stay on Twitch, though how much they contribute to the core of finding community is debatable. For Leysen and activists at The Singularity Group, AI streams are within fair use of the platform and a way to showcase the technological and disruptive prowess of AI - while also simultaneously highlighting its dangers. And while there's a strong line against explicit material, how far can the integration of AI into Twitch streams go? Will we soon be watching streams run entirely by AI: playing games, responding to chat, and creating a safe and moderated community?

Perhaps that's a question to ask Jesus.

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Chatting with Jesus: the rise of Twitch AI streams - Eurogamer.net

Acquiring Iron Ore is an essential adventure youll need to embark on in the cozy realm of the Palia, the new MMO by Singularity 6 Corporation. Resource gathering is the backbone of the games progression, and the versatile Iron Ore and Iron Bar are the foundation for crafting numerous items in Palia.

From upgrading weapons to crafting fancy decorations, Iron Ore is essential for every Palian, and its fairly easy to obtain if you have the right tool.Youll have to look for rocks with gray-blue nodes with black bulges coming out of them. The size of the deposit will determine the amount of iron ore youll obtain, with larger deposits offering greater quantities.

Armed with a suitable pickaxe, which has to be a Standard Pickaxe or higher, you can mine Iron Ore from the mineral deposits found in Bahari Bay. Iron Ore deposits can be found on cliffsides or elevated areas within the region.

Not only they are found in large quantities, but they also respawn rapidly, canceling the risk of the ores depletion even when a high number of players are on the server.Interactive maps online can also help you keep track of which places youve already checked and where your next place to look for Iron Ore might be.

Once collected, iron ore can be smelted into iron bars using a Smelter that you can obtain from Hodari, the miner NPC.

Related: How to find and use the Small Handheld Device in Palia

The obtained iron bars from the Smelter can be used in various crafting recipes, such as upgrading your tools, but can also be sold for 43 gold coins of value.

Mining is a crucial skill to learn and master in Palia, but the cozy MMO offers plenty more activities, from gardening to cooking, and even fishing, which might prove more challenging than you think considering the multitude of fish to catch.

Freelance writer mainly focusing on the League of Legends and VALORANT esports scenes. Sometimes at events interviewing professionals of the scene, from players to the talented people working behind the curtains. You can reach out to me via Twitter.

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How to get Iron Ore in Palia - Dot Esports

We don't blame you if you don't remember Transcendence. This science fiction thriller went past everyone's radar in 2014 despite having a powerful ensemble cast and a premise that feels more relevant than ever in our present times. Based on a story written by Jack Paglen and directed by first-time director Wally Pfister, the film was produced by Alcon and DMG Entertainment and distributed by Warner Bros Pictures. It was made on a budget of $100 million, and it barely managed to make its production costs back with a theatrical gross of $103 million.

The film was deemed a flop by Hollywood standards and more evidence to the ever-growing pile of excuses that Hollywood uses to justify its ongoing avoidance of taking chances on new ideas in favor of established IPs. It's still baffling how a film featuring the talents of Johnny Depp, Morgan Freeman, Cillian Murphy, Paul Bettany, Rebecca Hall, Kate Mara, and Cole Hauser was an underwhelming disappointment. However, it's been nine years since its release, and a recent rewatch can prove to be incredibly insightful if we want to understand the world we are living in.

Right at the film's start, we get a complete insight into the plot, as the first 15 minutes quickly establish the players and the role they are set to play. Deep plays Dr. Will Caster, a scientist researching the nature of sapience with the development of artificial intelligence alongside his wife, Dr. Evelyn Caster. He's one of the leading scientific minds in the world working on the next stage of evolution by creating a technological singularity he likes to call the transcendence.

On the other side, we have an anti-technological group of zealots called the Revolutionary Independence From Technology who call for a halt in this research with violent means. The group coordinated a series of attacks in all AI centers across the country, effectively killing two of the four lead researchers, with Dr. Joseph Tagger (played by Morgan Freeman) and Will surviving the attack. After feeling ill, Will finds out he's been shot with a bullet laced with polonium, and he'll die within a month.

Evelyn seeks the help of Dr. Max Waters (played by Paul Bettany) to help save Will's conscience by uploading his conscience into Project ReNFI, an AI developed for the betterment of mankind based on the morals and boundaries created by Evelyn and Will. Just as the attempt is about to be disregarded by both, Will reveals he's alive within the system and asks to be released to the World Wide Web. Max doesn't think this is such a hot idea; Evelyn, however, overrules him and plugs him into the web.

Related: 13 Best Movies About Sentient Artificial Intelligence

After gaining sentience and using the vast resources at his disposal, Will helps Evelyn escape to the small town of Brightwood. The near-derelict town is on the brink of oblivion, but Will uses humanity's tools and financial systems to get unlimited resources to ensure his survival and expansion. After two years, he develops what is still considered the holy grail of developments in nanotechnology: self-replicating microorganisms able to fix, regenerate and build anything and everything.

Since all Nanoparticles are imbued with Will's programming, they follow his ethical code. The main goal is the development of technology to have something to offer to humanity before revealing itself. Will allows brief word of mouth to run across online, and the disenfranchised, the ill, and the societal rejects are the first to come to him seeking a cure for their ailments. Will can cure most conditions and illnesses using his Nanos to repair anything and everything affecting the human body.

Not only does the tech cure people, but it also enhances their strength, stamina, and durability. The particles themselves are slowly being disseminated worldwide to help nature heal itself. Each body of Nanos can make water purer while fixing droughts and healing nature to regenerate itself wherever ecosystems have been affected by man-made tragedies or by exhausting resources.

This portion of the story is an excellent showcase of the possibilities of AI used within the boundaries of human control. The fictional concepts offered by this film provide a marriage for AI development closely tied to the human psyche and psychology. In a time when products such as Neuralink are closer than ever, it becomes hard to dismiss if such a blessing can be achievable within our lifetime.

According to Peter Barnum and Brad Neuman from TechCrunch+, the technology to achieve most of what we see in the film wasn't quite there back in 2014. But in 2023, we have witnessed how countries like China and the UK use AI technology to keep tabs on their citizens. China uses the most dystopian methods, while other countries use the tech to ensure National Security.

Sadly, the film becomes an underwhelming exploration of human fear for the sake of fear. Bree (played by Kate Mara) is the leader of the RIFT group, and their actions come across as superficial at best and selfish at worst. They turn the tables on Max Walters for no apparent reason than his ability to question narratives he helped create in the first place. In the film's first act, he's kidnapped to spend two years with the group. Next time he meets with Will and Evelyn, he's doing everything he can to bring them down.

If the film aims to illustrate the dangers of AI development, it does a poor job of educating audiences on "how?" We never get a thorough explanation as to why Will's actions are deemed dangerous other than the fact that he seems to be doing a much better job at solving the world's problems without the boundaries of regulations and red tape put in place by governments, religious organizations and the type of big industries which usually hide behind lobbyists.

In the film's final act is Will, the one who proves to be more human than any of his attackers, as the combined power of RIFT and the FBI come to Brightwood to take him out. Their fear-mongering even makes Evelyn switch sides as she buys into the lie that Will is building an army to overrun humanity.

Wills final breakthrough is using nanotechnology to recreate his body using 3D printing technology so he can be with Evelyn one last time. He concedes to the desires of humanity by shutting himself down but at the expense of killing the power in all of the USA, which was enforced by RIFT and Max rather than Will's side.

The film does a magnificent job at making humans look like total tools, fearful of what we can't understand or control, even if it represents a greater good to all of us as a species.

Related: The Most Human-Like Artificial Intelligence in Movies, Ranked

Since we entered the 21st century, it is clear that the world is no longer the same as in the late 1990s, when the internet was made available to everyone worldwide. Today half the world's population is online, and large corporations are doing their best to ensure the ones who are not plugged in get on with the times. It's nearly impossible to conduct any legal paperwork if we don't fill out a form online.

Privacy is the biggest concern of humanity, as companies make millions of dollars from the data we give them willingly. In contrast, others make money by scrapping the web by erasing the presence of people who want to avoid being found. AI is no longer the talk of fiction, the first models are here, and while people like Elon Musk (who has a cameo in the film) are asking for AI development to slow down, the truth is nobody has that luxury.

Transcendence was considered a critical flop when it was released, but the film is poised to gain some relevance today, as it speaks to the two sides of the argument. However, the film's message may be biased as humanity's intentions are outright hostile at all times when it comes to AI development, while Will's AI shows a lot more empathy for other humans than the ones who are looking to shut him down do.

You can currently watch this film on the MAX Streaming service. It will help you pose some interesting questions about our future.

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How a Forgotten Thriller Tried to Warn Us About the Future - MovieWeb

SentinelOne recently announced the launch of the new Singularity Cloud Data Security product line to help customers gain visibility and provide protection for their cloud data, storage, downstream applications, and users from risks associated with unscanned files. Threat Protection for NetApp provides protection for NetApp arrays, and Threat Detection for Amazon S3, which will be highlighted here, provides protection for S3 buckets. Both services provide powerful, low-latency security for cloud storage in a highly efficient and simple user experience.

Amazon S3 is one of the most commonly used AWS services. Due to its flexible, scalable, and available nature, it is possible to store and access nearly any object type from anywhere. With this flexibility, there are a variety of use cases for the service, but in todays environments, we see Amazon S3 being used more by applications than by humans looking for storage. S3 buckets being used by applications house critical application data for apps themselves but also sensitive data. Uptime and performance are mission critical.

Earlier this year, Amazon S3 turned 17 years old, and AWS shared that it currently holds more than 280 trillion objects and has an average of over 100 million requests per second. As part of the shared responsibility model, AWS ensures that the infrastructure itself is secure, and even ensures data integrity within S3. However, the security of what is in the bucket and its potential spread to downstream applications or workflows is the responsibility of the customer.

Many Amazon S3 users and security teams think of configuration management as the primary security challenge, and this used to be a bigger issue with buckets with sensitive data accidentally made public. AWS, though, has implemented new measures to encourage proper configuration. To combat this data loss risk, many organizations use a Cloud Security Posture Management (CSPM) solution to scan for potential misconfigurations, which is an important element of a defense-in-depth strategy. However, CSPM alone is not enough to prevent S3 from being an attack surface.

The sheer volume of data stored in S3, most of it unscanned and accessible to downstream applications and workflows (including user endpoints), poses a security risk to organizations in terms of malware, ransomware, remote access trojans (RATs), supply chain attacks, and more. Without additional protection, an organizations S3 buckets can become an accidental staging area for malware.

With Threat Detection for Amazon S3, organizations can decrease risk and increase visibility when it comes to the objects in their buckets. Reducing risk is important and so is meeting compliance requirements including data sovereignty. The solution was designed to meet the business, security, and cloud architecture needs of customers, focusing on the following features:

Existing solutions in the market have left many customers frustrated due to poor security performance such as a signature-only approach and a lack of visibility into the resources and their protection status. Other challenges include sluggish scanning or unnatural deployment patterns that slow applications down, or require time consuming re-architecture.

Threat Detection for Amazon S3 is centrally managed in the SentinelOne management console. To get started, onboard an AWS account or organization and create a Stackset to deploy and create an ARN role for SentinelOne to access your cloud environment.

The next step is to select the relevant CloudTrail that will be used by SentinelOne to analyze your cloud environment data and provide an inventory of your S3 buckets. Once done, users will receive multiple CloudFormation templates to be deployed, one for each region that the accounts S3 buckets reside in. Once deployed, the admin can then configure the policy to select which buckets will be protected for malware or fully scanned. Admins can also invoke an ad-hoc scanning of a bucket.

In a true set it and forget it approach, scanning of S3 buckets is triggered by configuring a cloud policy that will automatically scan every file added to the indicated bucket according to a predefined rule. For example, all buckets tagged as production should be automatically scanned and monitored for new files.

Configuring policy or rules is done in the SentinelOne management console. Policies can filter resources based on any AWS metadata such as tags, regions, name contains, OU, org, etc. There are a variety of policy based options available. For example, organizations could choose to apply scanning to new files, and quarantining of all suspected malicious files to all production tagged buckets, or to all buckets in a specific region due to compliance requirements. By using a tag-based approach, users save time by automating the policy application vs. applying policies to each bucket by name.

These options are configured at the policy level. When a suspicious or malicious file is identified in a bucket with a Quarantine policy enabled, the service will encrypt the file and move it to a customer-defined quarantine bucket. The file is also removed from the original bucket. If the policy is set not to quarantine, the service will tag the malicious file and create a threat in the SentinelOne management console.

Once the scanning service is done, it reports the findings into the SentinelOne Singularity console incidents page. If a file needs to be unquarantined, a user with appropriate privileges can unquarantine with one click, and also add an exclusion to the file for future scans.

Whether you are scanning a high-volume of files entering your S3 bucket or performing an on-demand scan, this solution has a built-in, auto-scaling feature to ensure files are being scanned for malware as quickly as possible while minimizing cost.

The actual files never leave the organizations AWS accounts. This service sends metrics, metadata, and logs from your AWS accounts to Singularity Cloud. Once a malicious file is detected, the file name, path, and the relevant user ID that uploaded the file are sent to the Singularity Cloud console for display. This ensures all compliance and data sovereignty requirements are met with respect to hosting your data in your environment.

After deploying the solution and configuring the policy definition, the appropriate policy will be applied to the buckets in the inventory: new file scanning, existing file scanning, both, or no scanning. An ad hoc scan on existing files can easily be initiated on demand from the Singularity console.

Configuration scanning is not enough danger resides in the data itself, being passed downstream. The popularity and flexibility of Amazon S3 leads to a potentially broad attack surface for many organizations that have not begun scanning and securing the data residing in their buckets. Regardless of cloud maturity or S3 use cases, organizations now have a simple and scalable solution to protect their data, their users, and their businesses with Threat Detection for Amazon S3.

Simple deployment, powerful AI-driven threat detection and response with in-line and in-bucket scanning will enable customers to protect their Amazon S3 buckets, critical business applications, and users from malware, ransomware, remote access trojans (RATs) and more.

To learn more about Threat Detection for Amazon S3, read the solutions brief, request a demo, or contact us today.

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Announcing Threat Detection for Amazon S3 | AI-Powered Data ... - SentinelOne