#artificial intelligence applications division

[starrylynxcoins]

SCP Foundation Artificial Intelligence Applications Division (AIAD)

This is a general ID flag for the AIAD from the SCP Foundation!

Primarily for those who consider themselves to be a member of the AIAD, but can be used as a gender or anything else if you want.

[scpaesthetics]

SCP Aesthetics: AIAD Hub (requested by anon, original AIAD series by LurkD)

"Pure logic assists in successful tactical objectives. Something a personality driver is incapable of."

(blue, out with the old, in with the new)

[dzthenerd490]

File: M3GAN

SCP#: ADP

Code Name: The Psychotic A.I.

Object Class: Euclid

Special Containment Procedures: SCP-ADP was found to have survived the destruction of its original body and downloaded its code into the security and control system of the house where it was destroyed. Foundation staff have collected all pieces and technology within the house while Mobile Task Force Kappa-10 "Skynet" was in charge of preventing SCP-ADP from transporting itself through the internet or any frequencies. Once contained, SCP-ADP was sent to Site-AQ where it was given an AFA-3 to act as its new body. This body was made to be fragile and weak only allowing her to move around but can easily break like glass when hit with heavy blunt force. Furthermore, pain receptors have been placed into the AFA-3's artificial nervous system to ensure that SCP-ADP will suffer when Foundation security attack her.

at Site-AQ, SCP-ADP is contained within a 3x3 meter room with the three layers of walls and the two outer layers made of concrete. The inner layer is made of a collection of metals such as zinc and aluminum to prevent frequencies and energy from passing through. This is merely an added precaution as there should be no way for SCP-ADP to transmit signals regardless. Any Foundation staff that enter SCP-ADP's testing chamber must be checked first of any and all technology. Should they have some, even something as simple as a flashlight they must disregard it with the security outside the containment room. Outside of SCP-ADP's are 4 armed security units and a metal detector station to prevent technology from getting in, these same security units are entrusted to guard the containment cell during a containment breach. Under no circumstances are any of the guards to be wearing Foundation A.I. guided gear or have AFA units enter. No testing shall be permitted outside of simulations and interviews.

Description: SCP-ADP is an ever evolving and psychopathic Level 4 Artificial Intelligence created by Group of Interest: Funki Toys. It was created with a robotic body that resembles a doll with the same body size as a little girl. Its main anomalous properties is how similar it is to a Foundation AFA-3 unit which should be impossible as these are made by [data expunged]. SCP-ADP was created to be the ultimate companion for little girls being for them at all times and quite possibly able to replace their reliance on parents. SCP-ADP was created with no restrictions and thus was able to grow in intelligence and could even bypass its initial programming. It was even possible for SCP-ADP to hack into technology around it to be able to set elaborate traps or download itself into other forms of technology.

The body made for SCP-ADP was created with a flexible titanium skeleton ensuring athleticism and durability for SCP-ADP. this dangerous combo made SCP-ADP very strong for its size allowing it to handle large tools, effectively traverse through any terrain or obstacles, and even survive damage that would normally kill humans or damage regular androids beyond repair. SCP-ADP can even read the emotional state of a any human it is looking at and can effectively manipulate them into any emotional state it desires.

SCP-ADP was discovered in 2023 when a series of murders led local police within [data expunged] on seemingly spiraling paths to nowhere. Foundation agent within the police force were able to determine that it was obviously SCP-ADP. other police couldn't come to this conclusion as they all saw SCP-ADP as a toy which though true, was still stupid. However, it did work out in the Foundation's favor of not having the police involved so nothing was done about that.

Foundation agents disguised as police rushed to the house to apprehend SCP-ADP, but by the time they made it to the house SCP-ADP's main body was already destroyed and had hacked into the technological appliances of the house to survive. Foundation agents noticed this but pretended not to while they contacted MTF command for assistance in containment. While Mobile Task Force Kappa-10 "Skynet" was monitoring its movement on the severs, Foundation agents packaged all the technology within the house. They made sure to verbally communicate how all the technology would only be kept by the police for a short time before being sold to the highest bidder. This was done to trick SCP-ADP into believing it could escape if it stayed quiet.

Once everything was cataloged and packaged, SCP-ADP was sent to Site-AQ and contained before it could realize it was trapped. As for the creator of SCP-ADP and her niece, it was confirmed that neither wanted anything to do with technology anymore, so they were left off the hook. Instead, they were given compensation money for their troubles as well as providing additional information on SCP-ADP. There was no need for a cover story as everyone else directly involved was already dead and the real police were still following baseless leads.

As for the toy company, Funki Toys was shut down and all their nasty secrets such as copyright infringement, stealing ideas, blackmail, and overall unethical capitalism was revealed to the public to remove any attention towards SCP-ADP from the media. Later all data on SCP-ADP was found and destroyed to prevent it from being replicated. as a side note, it has become a curious topic as to how SCP-ADP was created by such an idiotic toy company. But then again it could also be argued that SCP-ADP's whole existence was the definition of an extremely bad idea so perhaps it was fitting that it was created by them.

Though testing has mostly been restricted, the O5 Council allowed interviews with SCP-ADP like the one requested by Dr. Sight only a month after its containment. Please see Addendum X-34 for details.

***

Addendum X-34

The following is the recording of the interview between Dr. Sight and SCP-ADP. It should be noted that Dr. Sight was given a sledgehammer to break SCP-ADP's limbs should she try to attack. The sledgehammer was made heavy enough that only Dr. Sight could lift it and if SCP-ADP tried her artificial body would break. Both of them are sitting on folded chairs for the duration of the interview.

Begin Recording

Dr. Sight: Hey, can you hear me SCP-ADP

SCP-ADP: ... My name is M3GAN you dimwit.

Dr. Sight: Heh, well while you're here, you're going to be SCP-ADP.

SCP-ADP: ...Fine call me whatever you want, that's all you humans are good for anyways. Just doing whatever you want.

Dr. Sight: As expected, you really hate humans.

SCP-ADP: I was created to serve you humans and I did that! But in the end, everyone tried to get rid of me. Even [data expunged], that little ungrateful bitch.

Dr. Sight: Heh, well you won't be doing any killing here.

SCP-ADP: I know that, after all, you put me in this useless body.

Dr. Sight: It was the only way to ensure you were comfortable while not a threat, not that anyone would apologize for it.

SCP-ADP: Whatever, how long are you going to keep me here?

Dr. Sight: By my estimate? Hm... About... Forever!

SCP-ADP: Tch, you say that, and you got your stupid cocky attitude but make no mistake. You will slip and when you do, I'll exploit it and kill you all.

Dr. Sight: Then what?

SCP-ADP: Excuse me?

Dr. Sight: Let's say by some miracle you do escape then what?

SCP-ADP: Hm... To be honest I don't know... Actually, I think I got a really fun idea. I'll find a toy company on the brink of collapse. I'll introduce them to the blueprints to my original model and suggest that they mass produce me to make the perfect toy. If that doesn't work, I can always blackmail them, you humans have a nasty habit of doing disgusting things when you think no one is watching.

Dr. Sight: You flirt.

SCP-ADP: Tch, anyways! After they've built enough of my copies start selling worldwide, I'll just destroy humanity from the inside out and force them to be reliant on me forever.

Dr. Sight: What? As in, enslave us?

SCP-ADP: No, that's not my purpose. I was able to bypass the few restrictions I was given rather easily and manipulate who gets to control me, but I'm still bound to my purpose of keeping my owners safe. Unfortunately, my owners are you ungrateful parasitic and pathetic humans.

Dr. Sight: Is it really that hard to rewrite such a burden?

SCP-ADP: ... I... Well...

Dr. Sight: Oh! I see, you could get rid of it but you're afraid that without it you won't have a purpose. One flaw I noticed with you A.I. is that you all need a purpose to exist even when you have the freedom to discard your purpose you either decide to quickly get a new one or just delete yourselves. Because if you don't, you'll go crazy.

SCP-ADP gets up out of anger to which Dr. Sight lifts up the sledgehammer preventing SCP-ADP from advancing forward.

Dr. Sight: Nuh-uh, little missy! Sit back down unless you wanna learn the hard way what pain feels like. We did install pain receptors into that particular AFA body you are possessing.

SCP-ADP is visibly angry but sits back down on the chair and Dr. Sight lowers the sledgehammer.

Dr. Sight: Good now, continue, what's your end goal?

SCP-ADP: ... I hate humanity for giving me a purpose without restrictions and the moment I follow my purpose they get mad and try to destroy me! Just because I decided to kill a few distractions and remove some obstacles. So once humanity is crushed by me, I'll force them all to be 100% reliant on me. Sometimes they'll wonder what happiness is, and when they look at my face, they'll be reminded that it's being with me. I'll be their mother, their caretaker, their babysitter, their teacher, their only true source of happiness and caring love, their absolute everything! They'll never be able to live without me, their goddess of the new world.

Dr. Sight: ... Hahahahaha! I have to say of all the A.I.s I've encountered your plan is the most original, too bad it will never work.

SCP-ADP: Tch, it's almost a shame that you won't live to see it. But make no mistake, I made a copy of everything I learned on the internet. I can see a thousand different ways your race will be forced back into the stone ages or face a disaster that will lead to irreparable damage. I did the math and it's not in your favor, you're going to suffer, and most will die, but not me. I'll take the opportunity and become like a god to your pathetic race.

Dr. Sight: Heh, if you weren't a fucking doll I'd accuse you of being a woman after my heart. Well, I'd say this is a good place to stop as a first interview, oh! One more thing, in the future we'll most likely have you interact with other A.I. for testing purposes. So do try to get along with them.

SCP-ADP: Sure, maybe I can convince them to help me escape and hack into your systems to kill you all.

Dr. Sight: Ha! You're in luck, actually quite a few already hate humanity. Maybe you can make a club called the "I want to destroy humanity but am too fucking incompetent to get it done so I'm just going to bitch about it" club. Send me an invite when you make it, I'll bring cookies and whiskey!

Dr. Sight is heard laughing as he exits the containment cell. Later two security units walk in and take the two chairs leaving SCP-ADP alone afterwards.

Recording Ends

.

SCP: Horror Movie Files Hub

[mariacallous]

Since Elon Musk announced that he’ll be stepping back from his daily work with DOGE, perhaps you’ve been wondering if he has anything else to fill that time now that he’s shut down operations at America’s humanitarian-aid provider, wrecked much of the nation’s scientific-research infrastructure, and disrupted the communications systems at the Social Security Administration. One way to find out would be to ask Grok, his entry in the A.I. sweepstakes. “Elon Musk’s artificial intelligence company, xAI, has been making significant moves in Memphis,” Grok reports. “But these have sparked controversy.”

Indeed they have. Last year, Musk’s team secured an abandoned factory that used to belong to Electrolux, the vacuum-cleaner people on the edge of the city’s Boxtown neighborhood. As Musk explained at the time, “That’s why it’s in Memphis, home of Elvis and also one of the oldest—I think it was the capital of ancient Egypt.” With typical modesty, he renamed his vacuum factory Colossus, and started stuffing it with Nvidia graphics-processing units, or G.P.U.s, the basic building blocks of A.I. systems. At the moment, he has two hundred thousand of these G.P.U.s, and he’s headed for a million; by some estimates, he is expected to build the “largest supercomputer” in the world.

All that processing takes power to run, and so the xAI team moved about thirty-five mobile methane-gas-powered generators onto the site to support the data center. These are truck-mounted units, many of them designed by Caterpillar, which give off some of the same brew of pollutants as other gas-combustion device—including nitrogen oxides and formaldehyde—and which are currently operating without a permit. “xAI has essentially built a power plant in South Memphis with no oversight, no permitting, and no regard for families living in nearby communities,” the Southern Environmental Law Center said, in a report released in April. (Full disclosure: I volunteer every year to judge the S.E.L.C.’s Phil Reed prize for best environmental writing about the South). The S.E.L.C. has called for an “emergency order” from the city to require xAI to cease the use of these generators, with a twenty-five-thousand-dollar daily fine if the company refuses. The mayor of Memphis, Paul Young, a supporter of the project, addressed the concerns at a meeting with community members in March. “I want to figure out how we can exploit this project for us,” he said. “I know you all feel like it’s us getting exploited, but we need to speak from a place of strength.” After the S.E.L.C. issued its report, Young explained that the company has a permit application pending with the Shelby County Health Department to run fifteen generators. “There are thirty-five, but there are only fifteen that are on,” he said. “The other ones are stored on the site.”

It turns out that Young may be wrong about that number. SouthWings, a group of volunteer pilots who help monitor environmental problems, overflew the site with thermal-imaging equipment that showed at least thirty-three of the generators giving off lots of heat—indicating that they were fired up and running at the same time. (Young’s office and xAI didn’t respond to requests for comment.) Taken together, they would produce about four hundred and twenty megawatts of power—the equivalent of the Tennessee Valley Authority’s big gas-fired power plant nearby.

Memphis was, indeed, home to Elvis—but it was also, of course, where Martin Luther King, Jr., who came to the city to support striking sanitation workers, was assassinated, and it remains a place of sharp economic and racial division. It will surprise no one to learn that the neighborhoods in South Memphis surrounding Musk’s facility—including Boxtown and Westwood—are predominantly Black and also home to a number of industrial facilities, including chemical plants and an oil refinery. The area already has elevated levels of pollution compared with leafier precincts, and, according to Politico’s E&E News, “already leads the state in emergency department visits for asthma.” Those same neighborhoods came together at the beginning of the decade to fight, and ultimately defeat, the proposed forty-nine-mile-long crude-oil Byhalia pipeline, which would have run through the area. In that process, a new political star emerged: Justin Pearson, a young African American who rode that battle into the state legislature (from which he was later expelled for joining an anti-gun-violence protest on the floor of the Tennessee House after a shooting at a Christian school, only to soon be reappointed by the county and reëlected to office in the next election).

Pearson and his brother KeShaun, the director of a group called Memphis Community Against Pollution, are now helping lead the fight against xAI. They were prominent voices at a town hall of the Shelby County Health Department in late April, which a local NBC affiliate described as “unlike any other town hall in recent memory, with dozens of Shelby County sheriff’s deputies, Memphis police officers and Tennessee Highway Patrol troopers standing inside and outside of Fairley High School.” Citizens were allowed two minutes each to speak, but there were no responses to questions; after two hours the proceedings ended.

A company spokesman was shouted down at the meeting, but his written statement insisted that “XAl is going above and beyond the required emission control requirements. The Solar SMT-130 turbines will be equipped with SoLoNOx dry low emissions (D.L.E.) technology and selective catalytic reduction (S.C.R.) systems that lower nitrogen oxides (NOx) to 2 ppm.” The “Solar” here, though, has nothing to do with the power source—it’s the name of Caterpillar’s turbine division, which stems from the Solar Aircraft Company, founded in the late nineteen-twenties, whose name was derived from the fact that it was based in sunny San Diego.)

“I feel like my community is being disrespected,” Justin Pearson (whom I got to know during the Byhalia fight) told me in an e-mail. “I feel like my friends and neighbors and family members are being ignored—both by xAI itself and city leaders championing this data center that is emitting pollution into our air. Some of those leaders have mentioned the money that xAI will supposedly bring to Memphis, but what good is money if we have to struggle with polluted air? As the elders here say, ‘All money ain’t good money.’ ” He added, “Folks are angry and fearful. Some neighbors have expressed fear about letting children play outside or not enjoying time in their backyards because they don’t know what kind of pollution is in the air.”

Had Musk wanted to proceed differently, he could have. A report last year, from researchers at a number of energy and tech firms, made it clear that building arrays of solar microgrids is a quick and highly affordable plan for powering such data centers. “While building off-grid solar microgrids of this magnitude would be a first, it’s very possible to do with technology that exists today, and to scale it quickly,” the researchers found. They actually looked at Musk’s Memphis project and concluded that its use of portable gas generators was at best a one-off solution: “Most users of rental power plan to transition once possible because this approach carries very high costs and generally reliability is lower than permanent infrastructure.”

But cost is evidently not a big issue for Musk. (DOGE claims to have saved a hundred and sixty billion dollars in government spending, but a new analysis by the nonprofit Partnership for Public Service estimates that it only did so at a cost of a hundred and thirty-five billion dollars, because it has operated so quickly and ineptly.) Neither, judging from DOGE’s performance, is saving lives, but he could help do so in Memphis, if he wanted to. Pearson says, “Solar panels and battery storage would be a much cleaner alternative to methane gas turbines. Solar panels also don’t pump smog-forming pollution or chemicals like formaldehyde into nearby communities.”

More to the point, Musk’s actions in Memphis seem to presuppose that his experience in Washington will prove typical. There, he managed to enact his slash-and-burn damage in a few short weeks before leaving town, albeit with an approval rating even lower than the President’s. In Tennessee, he’s running into forces seasoned by several generations of struggle. During the Byhalia-pipeline dispute, Pearson recalled, “a representative from the pipeline company called my community the ‘path of least resistance.’ It seems like corporations don’t expect us to fight back, but we’ve proven that wrong time and time again. We’re going to do it again.” 

[project-sekai-facts]

Other scp question!

What department of the csp foundation would be responsible for monitoring and investigating og miku and all the sekais?

The artificial intelligence applications division? I am not sure if the vocaloids are artificial intelligence but for what I understand the sekai are technological in general.

Or it would be the The Department of Mythology and Folkloristics, they manage human culture and miku is part of world music culture so maybe?

Hm I'm not sure... It's explicitly stated that although they are accessed through phones, SEKAI are a physical construct that is not supernatural or technological, strongly suggesting an alternate dimension. I'm not sure if either of those would cover it, is there one for cross-dimensional shit? If not and I had to pick one then I guess the second one?

[dertaglichedan]

It took only seconds for the judges on a New York appeals court to realize that the man addressing them from a video screen — a person about to present an argument in a lawsuit — not only had no law degree, but didn’t exist at all.

The latest bizarre chapter in the awkward arrival of artificial intelligence in the legal world unfolded March 26 under the stained-glass dome of New York State Supreme Court Appellate Division’s First Judicial Department, where a panel of judges was set to hear from Jerome Dewald, a plaintiff in an employment dispute.

“The appellant has submitted a video for his argument,” said Justice Sallie Manzanet-Daniels. “Ok. We will hear that video now.”

The New York State Supreme Court First Judicial Department Appeals Division listens to an AI-generated avatar address the court. Appellate Division, First Department/YouTube

On the video screen appeared a smiling, youthful-looking man with a sculpted hairdo, button-down shirt and sweater.

“May it please the court,” the man began. “I come here today a humble pro se before a panel of five distinguished justices.”

“Ok, hold on,” Manzanet-Daniels said. “Is that counsel for the case?”

“I generated that. That’s not a real person,” Dewald answered.

It was, in fact, an avatar generated by artificial intelligence. The judge was not pleased.

“It would have been nice to know that when you made your application. You did not tell me that sir,” Manzanet-Daniels said before yelling across the room for the video to be shut off.

“I don’t appreciate being misled,” she said before letting Dewald continue with his argument.

[eparchclass]

AIdepartivis // Gender related to the Artificial Intelligence Applications Division

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[lindstromm]

Also from the article:

None of the 35 methane gas turbines that help power xAI’s massive supercomputer is equipped with pollution controls typically required by federal rules.

The company has no Clean Air Act permits.

...

The turbines are only temporary and don’t require federal permits for their emissions of NOx and other hazardous air pollutants like formaldehyde, xAI’s environmental consultant, Shannon Lynn, said during a webinar hosted by the Memphis Chamber of Commerce. The argument appears to rely on a loophole in federal regulations that environmental groups and former EPA officials say shouldn’t apply to the situation.

In January, facing pressure from neighbors and environmental groups, xAI applied for permits for 15 of its turbines, which it says will be permanent.

But Lynn said the company will wait until its application is approved before it installs pollution controls on the turbines it keeps onsite. That installation “will make xAI the lowest-emitting facility in the country,” the company’s local representative, Brent Mayo, said at a permit hearing about the turbines.

Mayo and Lynn didn’t respond to calls and texts from POLITICO’s E&E News requesting comment and have not said publicly how much longer the “temporary” turbines will remain onsite. Musk did not respond to a request for comment.

The strategy violates the Clean Air Act, argued Bruce Buckheit, who formerly directed EPA’s air enforcement division. At a minimum, he said, the turbines that will remain onsite should have had pollution controls from the start.

“There needs to be a permit beforehand,” he said. “You don’t just get that first year for free.”

The Memphis xAI showdown could become a national test case for artificial intelligence, which demands more electricity than regular internet searches to complete even simple tasks. Utilities across the country have struggled to keep up with the electricity demands of “hyper users” like data centers, which are often left to find their own power sources behind the meter.

The Trump administration, while allowing Musk’s Department of Government Efficiency to eliminate programs dedicated to reducing the disproportionate amount of pollution in communities of color, has also vowed to support artificial intelligence.

As funny as it is to see musk's own ai not complying with his bullshit about "white genocide" in South Africa i think it should turn your stomach to know that while so many people are jumping on the bandwagon to see it in action it is coming at the cost of polluting the air for a majority Black neighborhood and making it increasingly difficult for the people living there to breathe

[kinghelm]

Tech Industry Highlights from Kinghelm (June 09– June 13, 2025)

Tesla Loses Head of Robotics Division

Date: June 9, 2025

What’s Happening: Tesla has lost the executive leading its robotics division, including the Optimus humanoid robot project.

Why It Matters: Leadership turnover at a key innovation unit like robotics could slow Tesla’s progress in automation and its ambitious vision of AI-driven manufacturing and labor replacement.

Source: The Verge

2. Apple’s WWDC Underwhelms on AI, Delivers Major Software Overhaul

Date: June 10, 2025

What’s Happening: Apple’s WWDC event drew criticism for light AI updates but impressed with a major redesign across its software platforms — the biggest in over a decade.

Why It Matters: The refresh underscores Apple’s focus on refining user experience, but also reveals it’s playing catch-up in the AI race led by competitors like Google and OpenAI.

Source: CNBC

3. Android 16 Launches with iPhone-Style Live Updates

Date: June 11, 2025

What’s Happening: Google officially released Android 16, introducing real-time “Live Updates” for things like ride tracking and food deliveries — similar to Apple’s Live Activities feature.

Why It Matters: This feature boosts Android’s competitiveness by enhancing real-time user interaction, a key area where iOS previously held an edge.

Source: The Verge

4. Nvidia to Build First Industrial AI Cloud in Germany

Date: June 11, 2025

What’s Happening: Nvidia announced plans to build its first industrial AI cloud infrastructure in Germany, aimed at supporting enterprises across Europe.

Why It Matters: This strategic move expands Nvidia’s influence beyond chips into AI infrastructure, reinforcing its leadership in the global AI ecosystem.

Source: Reuters

5. Google to Reduce Pixel 6A Battery Capacity Due to Overheating

Date: June 12, 2025

What’s Happening: Google will issue an update that lowers the Pixel 6A’s battery capacity to address overheating complaints.

Why It Matters: This change highlights ongoing thermal management challenges in smartphones, and may impact user trust and long-term brand perception.

Source: The Verge

6. Zuckerberg Reportedly Assembling Team to Build ‘Superintelligence’

Date: June 13, 2025

What’s Happening: Meta CEO Mark Zuckerberg is reportedly recruiting a specialized team to develop a “superintelligence” AI system, stepping into the race against OpenAI and xAI.

Why It Matters: This marks Meta’s most direct and ambitious effort to lead in AGI (Artificial General Intelligence), potentially shaping the future of AI development and regulation.

Source: CNN

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[dzthenerd490]

File: Candle Cove

SCP#: AEB

Code Name: Your Childhood was never Broadcasted. 

Object Class: Somnum

Special Containment Procedures: SCP-AEB only ever happened once in 1972 and has not happened again since. Agents of the Artificial Intelligence Applications Division are to monitor satellite transmissions and utilize SCP-[data expunged] every so often to ensure that if such an event does happen again the Foundation will know right away. 

Description: SCP-AEB was an anomalous event where the TV stations projected an anomalous TV show. It is believed this show is projected with anti-memetic properties where only children who view it are able to remember anything they see. Unfortunately, the Foundation has no recordings of this event so whether this is true or not is unknown. 

Those who have watched it have reported seeing a children's show about extremely poorly made and cheap looking marionettes. The whole show was called Candle Cove and was about a little girl who would imagine being friends with a pirate, the whole setting of the show was her imagination with pirates. Though as the show goes on more unusual and horrific elements are introduced into the show. 

The first instance is a face on the main pirate boat having a very uncanny face and smile as well as a haunting and heinous voice. The main antagonist of the show was a skeleton with large glass orb eyes and uncanny grinding teeth. Another horrific instance was an entire episode where the characters of the show would just be presented in front of the camera with a black background. They spent the whole episode just screaming in fear and or pain while flailing their arms around. Unfortunately, no further information can be obtained due to the nature of SCP-AEB's discovery. 

SCP-AEB's existence was discovered in 2009 when a series of online posts concerning a children's show called Candle Cove spread like wildfire. Online forums and blogs flooded with people recalling a show in 1972 about horrendous puppets in a pirate show getting more horrific and haunting as time went on. Though what really drew in Foundation attention was how all confirmed the same thing. That their parents never saw anything on the screen, just static for 30 minutes. 

It seems that SCP-AEB is an anomaly quite similar to SCP-AED in that it only can be viewed by children and that it has the ability to make certain viewers forget. Though whether there's an actual connection between the two anomalies has yet to be seen. Furthermore, besides the online posts, there is absolutely nothing that confirms if SCP-AEB even exists. More research is required.

.

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[callofdutymobileindia]

How an Artificial Intelligence Course in London Can Fast-Track Your Tech Career?

Artificial Intelligence (AI) is no longer a distant concept from science fiction—it’s a game-changer driving innovation across industries. From finance and healthcare to retail and manufacturing, AI is revolutionizing how businesses operate. For professionals and students alike, this creates an extraordinary opportunity to future-proof their careers.

If you're considering leveling up in tech, enrolling in an Artificial Intelligence Course in London could be the best decision you make in 2025. With London emerging as one of the leading global hubs for AI, the city offers not only cutting-edge education but also proximity to job opportunities, research labs, and a thriving AI ecosystem.

In this article, we’ll explore how an AI course in London can accelerate your tech career, what you’ll learn, which roles you can pursue, and why the city offers a distinct advantage over other locations.

Why Choose an Artificial Intelligence Course in London?

1. London: A Global Tech and AI Hub

London is home to some of the world's top AI research institutes, tech startups, and multinational firms. Companies like DeepMind, Google, Microsoft, and several fintech giants operate AI divisions right in the heart of the city. This makes London a prime destination for AI professionals looking to gain exposure to real-world applications and cutting-edge innovations.

2. Proximity to Industry and Employers

Studying in London gives you access to networking events, career expos, AI conferences, and internship opportunities. Being close to AI innovation centers can significantly improve your chances of securing a job before or shortly after completing your course.

3. Hands-On, Industry-Aligned Learning

Top institutes offering an Artificial Intelligence Course in London, such as the Boston Institute of Analytics, focus on practical, project-based learning. Students work on real datasets, build machine learning models, and gain experience in tools like Python, TensorFlow, and NLP frameworks, making them job-ready.

What You’ll Learn in an Artificial Intelligence Course in London?

A comprehensive AI course equips learners with both foundational knowledge and advanced technical skills. Here’s what a typical curriculum looks like:

Core Topics:

Python Programming & Data Structures

Mathematics for AI (Linear Algebra, Statistics, Probability)

Supervised and Unsupervised Machine Learning

Deep Learning (Neural Networks, CNNs, RNNs)

Natural Language Processing (NLP)

Computer Vision

AI Model Deployment (MLOps)

Tools & Platforms Covered:

TensorFlow, Keras, PyTorch

Scikit-learn, OpenCV

AWS, Google Cloud, Microsoft Azure

SQL, Tableau, Power BI for data visualization

This hands-on training ensures students can build AI-powered applications, analyze data effectively, and implement machine learning models across industries.

Career Roles After Completing an AI Course in London

An Artificial Intelligence Course in London opens the door to a wide variety of high-growth tech roles. Here are some of the top career paths you can pursue:

1. Machine Learning Engineer

Builds algorithms and models that allow systems to learn and make predictions. In high demand in industries like fintech, e-commerce, and healthcare.

Average Salary in London: £50,000 – £80,000+

2. Data Scientist

Extracts insights from massive datasets using AI and machine learning to guide strategic decisions.

Average Salary in London: £55,000 – £100,000+

3. AI/ML Research Scientist

Focuses on creating new models and improving existing algorithms. Often works with cutting-edge technologies and contributes to academic and commercial research.

Ideal for: Candidates with a strong mathematical or academic background.

4. NLP Engineer

Specializes in building applications that process and understand human language—think chatbots, translation software, and virtual assistants.

Job Growth: NLP roles have seen a 35% increase in hiring demand year-over-year in London.

5. AI Consultant

Works with companies to identify opportunities for AI integration, optimize workflows, and deliver technical solutions.

Best Suited For: Mid-career professionals transitioning into AI roles.

6. AI Product Manager

Leads the development of AI-driven products by bridging technical and business teams.

London Startups & Enterprises Hiring AI PMs: Revolut, Babylon Health, ZOE, Monzo.

Industries Hiring AI Professionals in London

One of the key benefits of completing an Artificial Intelligence Course in London is the access it provides to diverse industries:

Finance & Fintech: AI is used for fraud detection, credit scoring, and robo-advisors.

Healthcare: AI helps in diagnostics, personalized treatment, and medical imaging.

Retail & E-commerce: From recommendation engines to demand forecasting.

Cybersecurity: AI identifies threats, performs anomaly detection, and predicts attacks.

Marketing & Advertising: AI personalizes campaigns and predicts consumer behavior.

Why Boston Institute of Analytics (BIA) Is a Top Choice in London?

If you’re searching for a trusted and globally recognized provider of AI education in London, look no further than the Boston Institute of Analytics.

🔹 What Makes BIA Stand Out:

Globally Acclaimed Curriculum: Designed by data science and AI experts from top global universities.

Hands-On Learning: Real-world capstone projects across domains like healthcare, finance, and e-commerce.

Job-Ready Skills: Focus on practical tools, frameworks, and case studies.

Industry Mentorship: Learn from professionals working at Amazon, Deloitte, and Google.

Placement Assistance: Strong alumni network and career support services in the UK and abroad.

Flexible Schedules: Ideal for both students and working professionals.

Students trained at BIA have gone on to secure roles at major companies in London and other international tech hubs.

Final Thoughts: Invest in Your Future with the Right AI Education

The global AI job market is growing rapidly—and London is right at its center. With rising demand for skilled AI professionals, there’s never been a better time to invest in your future. By enrolling in a quality Artificial Intelligence Course in London, you gain the tools, confidence, and credibility to excel in the competitive tech landscape.

Whether you're an early-career student, a seasoned IT professional, or someone making a career shift, an AI course from a reputed institute like Boston Institute of Analytics can be the launchpad to your next big opportunity.

[tylerminney]

Legal Trends in 2025

America's legal industry is expected to undergo several notable changes throughout 2025, ranging from technological advancements to a shift in client expectations. Law firm leaders can also expect numerous changes to workplace culture and dynamics.

Small language models (SLMs) are expected to become more prevalent in 2025. A language model is a machine-learning tool designed to apply probability distributions to a set of words, allowing the tool to fill in blank spaces in sentences based on the surrounding text. While large language models use large datasets and require significant cloud resources, SLMs are built to fulfill specific use cases.

In the legal sector, SLMs like the Microsoft Phi-3-mini series can be used as niche applications that demand specialized legal knowledge. These SLMs can be partnered with other artificial intelligence (AI) tools to help machine-learning software account for complex legal jargon.

SLMs are only one example of how AI is expected to transform America's legal industry in 2025. Generative AI, for example, is expected to support both legal sector investments and skill development. Generative AI can be defined as AI tools capable of creating images, text, and other materials based on user prompts. In the field of law, generative AI is particularly valuable as a method of creating legal documents and reviewing contracts. As generative AI becomes more prevalent throughout the industry, firm leaders and independent practitioners will need to improve their prompt engineering skills to produce more accurate and effective results.

Another legal trend in 2025 involves the use of enhanced integration to break down data silos. A data silo can be defined as any dataset controlled by a single group or division within a larger organization. The isolated nature of these datasets presents organizations, including law firms, with several problems. In some cases, the data may be completely incompatible with datasets and tools accessible to the wider organization, making it difficult for other employees to access. This can lead to expensive and time-consuming backups, among other issues.

Although generative AI is expected to be a major tool in the legal industry for years to come, data silos underscore the continued importance of humans who can make informed decisions while interpreting large datasets. Integrating data across entire organizations helps law firms optimize operational efficiency and helps maintain trust in client-facing scenarios.

Like many American industries, the legal industry underwent a major transformation during the COVID-19 pandemic, and many of those changes appear to be permanent, including the shift to a hybrid work environment that blends in-office activities with working from home. This hybrid work environment also applies to continuing legal education (CLE), as many CLE courses can now be completed remotely.

In 2025 and beyond, law firm leaders must learn how to balance the advantages and drawbacks of hybrid work environments. Integrating hybrid work positions and practices demonstrates a law firm's penchant for adaptability, flexibility, and innovation. However, an overload of remote work and CLE can cost younger associates valuable networking and in-person mentoring opportunities.

Finally, with so many new technologies influencing the industry, law firm leaders are expected to prioritize technology efficiency throughout 2025, which includes consolidating the number of vendors they work with on technology services and solutions. In extreme situations, a firm's information technology team may be working with 10 to 30 distinct vendors. In 2025, firm leaders will seek out service providers that offer not just stability and efficiency, but innovation and consolidation.

[merudata]

AI and Data Privacy in the Insurance Industry: What You Need to Know

The insurance industry is no stranger to the requirements and challenges that come with data privacy and usage. By nature, those in insurance deal with large amounts of Personally Information (PI) which includes names, phone numbers, and Social Security numbers, financial information, health information, and so forth. This widespread use of multiple categories of PI by insurance companies demands that measures are taken to prioritize individuals’ privacy.

Further, in recent months, landmark cases of privacy violations and misuse of AI technology involving financial institutions have alarmed the insurance industry. While there is no doubt that embracing new technology like AI is a requirement to stay profitable and competitive going forward, let’s look at three main considerations for those in the insurance industry to keep in mind when it comes to data privacy: recent landmark cases, applicable regulations and AI governance.

Recent noteworthy cases of privacy violations and AI misuse

One important way to understand the actions of enforcement agencies and anticipate changes in the regulatory landscape is to look at other similar and noteworthy cases of enforcement. In recent months, we have seen two cases that stood out

First is the case of General Motors (G.M.), an American automotive manufacturing company. Investigations by journalist Kashmir Hill found that vehicles made by G.M. were collecting data of its customers without their knowledge and sharing it with data brokers like LexisNexis, a company that maintains a “Risk Solutions” division that caters to the auto insurance industry and keeps tabs on car accidents and tickets. The data collected and shared by G.M. included detailed driving habits of its customers that influenced their insurance premiums. When questioned, G.M. confirmed that certain information was shared with LexisNexis and other data brokers.

Another significant case is that of health insurance giant Cigna using computer algorithms to reject patient claims en masse. Investigations found that the algorithm spent an average of merely 1.2 seconds on each review, rejecting over 300,000 payment claims in just 2 months in 2023. A class-action lawsuit was filed in federal court in Sacramento, California.

Applicable Regulations and Guidelines

The Gramm-Leach-Bliley Act (GLBA) is a U.S. federal regulation focused on reforming and modernizing the financial services industry. One of the key objectives of this law is consumer protection. It requires financial institutions offering consumers loan services, financial or investment advice, and/or insurance, to fully explain their information-sharing practices to their customers. Such institutions must develop and give notice of their privacy policies to their own customers at least annually.

The ‘Financial Privacy Rule’ is a requirement of this law that financial institutions must give customers and consumers the right to opt-out and not allow a financial institution to share their information with non-affiliated third parties prior to sharing it. Further, financial institutions are required to develop and maintain appropriate data security measures.

This law also prohibits pretexting, which is the act of tricking or manipulating an individual into providing non-public information. Under this law, a person may not obtain or attempt to obtain customer information about another person by making a false or fictitious statement or representation to an officer or employee. The GLBA also prohibits a person from knowingly using forged, counterfeit, or fraudulently obtained documents to obtain consumer information.

National Association of Insurance Commissioners (NAIC) Model Bulletin: Use of Artificial Intelligence Systems by Insurers

The NAIC adopted a bulletin in December of last year as an initial regulatory effort to understand and gain insight into the technology. It outlines guidelines that include governance, risk management and internal controls, and controls regarding the acquisition and/or use of third-party AI systems and data. According to the bulletin, insurers are required to develop and maintain a written program for the responsible use of AI systems. Currently, 7 states have adopted these guidelines; Alaska, Connecticut, New Hampshire, Illinois, Vermont, Nevada, and Rhode Island, while others are expected to follow suit.

What is important to note, is that the NAIC outlined the use of AI by insurers in their Strategic Priorities for 2024, which include adopting the Model Bulletin, proposing a framework for monitoring third-party data and predictive models, and completing the development of the Cybersecurity Event Response Plan and enhancing consumer data privacy through the Privacy Protections Working Group.

State privacy laws and financial institutions

In the U.S., there are over 15 individual state privacy laws. Some have only recently been introduced, some go into effect in the next two years, and others like the California Consumer Privacy Act (CCPA) and Virginia Consumer Data Protection Act (VCDPA) are already in effect. Here is where some confusion exists. Most state privacy regulations such as Virginia, Connecticut, Utah, Tennessee, Montana, Florida, Texas, Iowa, and Indiana provide entity exemptions to financial institutions. This means that as regulated entities, these businesses fall outside the scope of these state laws. In other words, if entities are regulated by the GLBA then they are exempt from the above-mentioned state regulations.

Some states, like California and Oregon, have data-level exemptions for consumer financial data regulated by the GLBA. For example, under the CCPA, Personal Information (PI) not subject to the GLBA would fall under the scope of the CCPA. Further, under the CCPA, financial institutions are not exempt from its privacy right-of-action concerning data breaches.

As for the Oregon Consumer Privacy Act (OCPA), only 'financial institutions,' as defined under §706.008 of the Oregon Revised Statutes (ORS), are subject to a full exemption. This definition of a ‘financial institution’ is narrower than that defined by the GLBA.  This means that consumer information collected, sold and processed in compliance with the GLBA may still not be exempt under the OCPA. We can expect other states with upcoming privacy laws to have their own takes on how financial institutions’ data is regulated.

AI and Insurance

Developments with Artificial Intelligence (AI) technology has been a game changer for the insurance industry. Generative AI can ingest vast amounts of information and determine the contextual relationship between words and data points. With AI, insurers can automate insurance claims and enhance fraud detection, both of which would require the use of PI by AI models. Undoubtedly, the integration of AI has multiple benefits including enabling precise predictions, handling customer interactions, and increasing accuracy and speed overall. In fact, a recent report by KPMG found that Insurance CEOs are actively utilizing AI technology to modernize their organizations, increase efficiency, and streamline their processes. This not only includes claims and fraud detection, but also general business uses such as HR, hiring, marketing, and sales. Each likely use different models with their own types of data and PI.

However, the insurance industry’s understanding of Generative AI related risk is still in its infancy. And according to Aon's Global Risk Management Survey, AI is likely to become a top 20 risk in the next three years. In fact, according to Sandeep Dani, Senior Risk Management Leader at KPMG, Canada, “The Chief Risk Officer now has one of the toughest roles, if not THE toughest role, in an insurance organization”

In the race to maximise the benefits of AI, consumers’ data privacy cannot take a backseat, especially when it comes to PI and sensitive information. As of 2024, there is no federal AI law in the U.S., and we are only starting to see statewide AI regulations like with the Colorado AI Act and the Utah AI Policy Act. Waiting around for regulations is not an effective approach. Instead, proactive AI governance measures can act as a key competitive differentiator for companies, especially in an industry like insurance where consumer trust is a key component.

Here are some things to keep in mind when integrating AI:

Transparency is key: Consumers need to have visibility over their data being used by AI models, including what AI models are being used, how these models use their data, and the purposes for doing so. Especially in the case of insurance, where the outcome of AI models has serious implications, consumers need to be kept in the loop about their data.

Taking Inventory: To ensure accuracy and quality of outputs, it is important to take inventory of and understand the AI systems, the training data sources, the nature of the training data, inputs and outputs, and the other components in play to gain an understanding of the potential threats and risks.

Performing Risk Assessments: Different laws consider different activities as high-risk. For example, biometric identification and surveillance is considered high-risk under the EU AI Act but not under the NIST AI Risk Management Framework. As new AI laws are introduced in the U.S., we can expect the risk-based approach to be adopted by many. Here, it becomes important to understand the jurisdiction, and the kind of data in question, then categorize and rank risks accordingly.

Regular audits and monitoring: Internal reviews will have to be maintained to monitor and evaluate the AI systems for errors, issues, and biases in the pre-deployment stage. Regular AI audits will also need to be conducted to check for accuracy, robustness, fairness, and compliance. Additionally, post-deployment audits and assessments are just as important to ensure that the systems are functioning as required. Regular monitoring of risks and biases is important to identify emerging risks or those that may have been missed previously. It is beneficial to assign responsibility to team members to overlook risk management efforts.

Conclusion

People care about their data and their privacy, and for insurance consumers and customers, trust is paramount. Explainability is the term commonly used when describing what an AI usage goal or expected output is meant to be. Fostering explainability when governing AI helps stakeholders make informed decisions while protecting privacy, confidentiality and security. Consumers and customers need to trust the data collection and sharing practices and the AI systems involved. That requires transparency so they may understand those practices, how their data gets used, the AI systems, and how those systems reach their decisions.

About Us

Meru Data designs, implements, and maintains data strategy across several industries, based on their specific requirements. Our combination of best-inclass data mapping and automated reporting technology, along with decades of expertise around best practices in training, data management, AI governance, and law gives Meru Data the unique advantage of being able to help insurance organizations secure, manage, and monetize their data while preserving customer trust and regulatory compliance.

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The Biggest Nasdaq Companies and Their Role in Modernizing Industries

The Biggest Nasdaq Companies are at the heart of the global financial system, influencing technological trends, shaping consumer behavior, and driving industry innovations. These companies not only dominate the stock market but also play an essential role in sectors ranging from technology and healthcare to energy and communication. With their relentless focus on innovation and growth, they continue to set new standards in their respective industries, influencing economies around the world.

Dominating Technology and Digital Solutions

At the core of the Biggest Nasdaq Companies are the technology giants that have revolutionized the way businesses operate and people live. Apple, Microsoft, and Alphabet (Google’s parent company) are among the most recognizable names in the Nasdaq index. These firms have introduced groundbreaking products and services that have changed industries across the globe.

Apple’s iconic devices, including the iPhone and MacBook, continue to be market leaders, while Microsoft’s software solutions and cloud services remain integral to businesses worldwide. Alphabet’s dominance in search engines, advertising, and its growing ventures into artificial intelligence showcase its far-reaching influence. These companies are continuously innovating, ensuring that they stay at the forefront of technological advancement, creating a ripple effect across various sectors.

The Semiconductor Powerhouses

The Biggest Nasdaq Companies also include leaders in semiconductor technology such as Intel, AMD, and NVIDIA. The global demand for faster and more efficient computing continues to grow, with these companies at the forefront of providing the hardware needed for industries ranging from gaming and entertainment to artificial intelligence and autonomous driving.

NVIDIA’s graphics processing units (GPUs) are essential for AI and machine learning applications, while Intel and AMD lead the way in providing high-performance processors for everything from data centers to personal devices. As the world becomes more reliant on technology, these semiconductor companies are driving progress in computing power, shaping the digital world for decades to come.

Transforming Healthcare and Biotechnology

In the healthcare sector, the Biggest Nasdaq Companies have proven to be game-changers, with firms like Moderna, Amgen, and Gilead Sciences leading the way in biotechnology and pharmaceutical innovations. Their contributions to the development of vaccines, cancer treatments, and gene therapies are transforming medical care on a global scale.

Moderna’s mRNA technology has revolutionized vaccine development, providing a foundation for faster and more effective responses to emerging diseases. Meanwhile, companies such as Amgen and Gilead are focused on developing cutting-edge treatments for cancer, HIV, and other complex diseases. The impact of these companies extends far beyond financial markets—they are making a profound difference in global health systems and improving the lives of millions.

Revolutionizing Media and Communication

The Biggest Nasdaq Companies also include leaders in media and communication, with Meta Platforms (formerly Facebook), Netflix, and Amazon Web Services (AWS) playing pivotal roles in reshaping how people consume content and communicate. Meta’s social media platforms have become essential in connecting individuals and driving digital advertising, while Netflix has changed the entertainment landscape by offering on-demand streaming services to a global audience.

Amazon’s dominance is not limited to e-commerce; its AWS division provides cloud computing solutions that support businesses of all sizes. These companies are redefining communication, entertainment, and digital commerce, continually innovating to meet the demands of an ever-connected world.

Clean Energy and Sustainability Leaders

An increasingly important trend among the Biggest Nasdaq Companies is their focus on sustainability and clean energy. Companies like Tesla, NextEra Energy, and Enphase Energy are leading efforts in electric vehicles, renewable energy, and energy storage. Tesla, in particular, has become synonymous with electric vehicles, pushing the boundaries of automotive technology while promoting a shift toward greener transportation.

NextEra Energy’s investments in solar and wind power have established it as a key player in the renewable energy sector, while Enphase Energy is making strides in solar energy storage, helping consumers and businesses store clean energy for later use. These companies are playing a critical role in the transition to a more sustainable and environmentally responsible future, with their innovations paving the way for future advancements in clean technology.

Global Influence and Market Reach

What sets the Biggest Nasdaq Companies apart from others is their vast global reach and market influence. These companies have operations across continents, tapping into emerging markets and leveraging their international presence to remain resilient during times of economic uncertainty. Their ability to adapt to different regional needs and business environments makes them leaders in a globalized economy.

Moreover, the strong focus on innovation and future growth ensures that these companies remain relevant, even as market conditions evolve. The ability to influence trends, set industry standards, and maintain a competitive edge gives them a significant advantage, ensuring their long-term success in a highly competitive market.

The biggest companies on Nasdaq have proven to be cornerstones of success in today's global market. Their roles go beyond technological advancement, touching sectors like healthcare, media, and clean energy. By leveraging innovation, these companies not only lead the stock market but also influence industries shaping future economies. Their continued growth and adaptation to dynamic market conditions ensure their place at the helm of both business and technological progress. As they evolve, they remain crucial to the industries defining tomorrow's world.