#AI-powered self-service

[precallai]

Smarter Support: How AI is Enhancing Call Center Operations

Introduction

The call center industry has long been a critical component of customer service, bridging the gap between businesses and consumers. However, with growing customer expectations and an increasing volume of inquiries, traditional call center models have struggled to keep pace. The integration of Artificial Intelligence (AI) has emerged as a game-changer, transforming call center operations into more efficient, cost-effective, and customer-centric platforms.

The Role of AI in Call Centers

AI-powered technologies are revolutionizing call centers by automating repetitive tasks, enhancing customer interactions, and improving overall operational efficiency. AI-driven solutions, such as chatbots, virtual assistants, speech analytics, and predictive analytics, have redefined how businesses handle customer support.

AI-Powered Chatbots and Virtual Assistants

One of the most significant AI-driven innovations in call centers is the deployment of chatbots and virtual assistants. These AI systems can handle a vast range of customer queries without human intervention, providing instant responses and reducing wait times. Unlike traditional interactive voice response (IVR) systems, modern AI-powered assistants use natural language processing (NLP) to understand and respond to customer inquiries in a conversational manner.

Key benefits of AI chatbots include:

24/7 availability, ensuring customers receive support at any time.

Reduced workload for human agents, allowing them to focus on complex queries.

Consistent and accurate responses, minimizing the risk of misinformation.

Speech Analytics and Sentiment Analysis

AI-driven speech analytics enables call centers to analyze customer interactions in real-time. By processing voice data, AI can detect customer sentiment, stress levels, and even emotional cues. This information helps agents tailor their responses appropriately, improving the overall customer experience.

Advantages of speech analytics include:

Identifying dissatisfied customers for proactive engagement.

Improving agent performance through real-time coaching and feedback.

Enhancing compliance monitoring by ensuring adherence to scripts and regulatory guidelines.

Predictive Analytics and AI-Driven Insights

Predictive analytics is another powerful AI application in call centers. By analyzing historical data and customer behavior, AI can anticipate customer needs and suggest appropriate responses. This enables businesses to personalize interactions and proactively address potential issues before they escalate.

Benefits of predictive analytics include:

Reducing call volumes by predicting and resolving issues before they arise.

Enhancing customer satisfaction through proactive outreach.

Optimizing workforce management by forecasting call volume trends and staffing needs.

Intelligent Call Routing

AI enhances call routing by ensuring customers are connected to the most suitable agents based on their queries, language preferences, and past interactions. Intelligent call routing minimizes wait times and improves first-call resolution rates.

Advantages of intelligent call routing include:

Faster issue resolution by directing calls to the right agents.

Improved customer satisfaction through personalized interactions.

Increased efficiency by reducing call transfers and wait times.

Automated Quality Assurance

Traditionally, call center quality assurance (QA) required manual review of call recordings. AI-driven QA systems automate this process by analyzing every interaction for compliance, tone, and resolution effectiveness. AI ensures that quality standards are consistently met without the need for extensive human oversight.

Benefits of automated QA include:

Faster and more accurate evaluation of agent performance.

Identification of training opportunities to enhance service quality.

Increased compliance with industry regulations and best practices.

Challenges of AI Implementation in Call Centers

Despite its numerous benefits, AI adoption in call centers comes with challenges. These include:

Integration with Legacy Systems: Many call centers operate on outdated infrastructure that may not seamlessly integrate with AI solutions.

Data Privacy and Security Concerns: AI systems rely on large amounts of data, raising concerns about data protection and compliance with privacy regulations.

Customer Resistance to AI: Some customers prefer human interactions over automated responses, necessitating a balanced approach to AI deployment.

Initial Implementation Costs: While AI can reduce long-term operational costs, the initial investment in AI technology can be significant.

The Future of AI in Call Centers

The future of AI in call centers is promising, with continuous advancements in machine learning, NLP, and automation technologies. Businesses will increasingly adopt AI-powered solutions to enhance customer experiences while optimizing operational efficiency. Emerging trends include:

Hyper-Personalization: AI will analyze vast amounts of customer data to deliver highly personalized interactions.

Augmented Agents: AI will work alongside human agents, providing real-time suggestions and insights to improve response quality.

AI-Driven Self-Service: More businesses will adopt AI-powered self-service portals, reducing the need for direct agent interactions.

Conclusion

AI is revolutionizing call center operations by improving efficiency, reducing costs, and enhancing customer satisfaction. From chatbots and speech analytics to predictive insights and intelligent call routing, AI-driven solutions are setting new standards in customer support. While challenges remain, businesses that strategically implement AI in their call centers will gain a competitive edge in delivering smarter, faster, and more personalized customer service experiences.

Summary:-

AI is transforming call centers by automating tasks, improving efficiency, and enhancing customer experiences. Chatbots and virtual assistants provide instant support, while speech analytics detects sentiment for better interactions. Predictive analytics personalizes service and reduces call volumes. AI-driven call routing and quality assurance optimize operations. Despite challenges, AI is shaping the future of smarter customer support.

[rajkaran-12345]

Why Every Business Needs Omnichannel AI Support in 2025

The digital landscape is continuously evolving, and customer expectations are rising faster than ever before. Traditional customer service models that rely on individual communication channels—such as phone, email, or chat—are no longer sufficient to meet the growing demands of consumers who expect seamless, real-time support across multiple platforms. Omnichannel customer support has become not just a trend, but a necessity.

As businesses adapt to the digital age, AI-powered omnichannel platforms are emerging as the most effective solution to ensure that customer service remains efficient, personalized, and scalable. In fact, by 2025, nearly 85% of customer interactions are expected to be handled without human agents, thanks to the rise of AI and automation. The transition to AI-driven systems that manage interactions across various channels is already happening. Businesses that want to stay competitive and offer world-class customer service must be ready to embrace this change.

Understanding the Power of Omnichannel AI Customer Service

At its core, omnichannel customer support means providing a consistent and cohesive experience for customers, regardless of the platform they choose to use. Whether your customer reaches out through social media, live chat, email, or over the phone, they should feel like they are interacting with the same business, receiving the same level of care and service.

An AI-powered omnichannel platform like ThinkOwl allows businesses to break down communication silos, centralizing all customer touchpoints into a single, unified platform. This enables businesses to offer real-time responses, provide personalized interactions, and deliver a seamless experience across every channel.

What makes omnichannel AI platforms like ThinkOwl unique is their ability to learn and adapt. Through the use of machine learning and natural language processing, these platforms continuously improve their understanding of customer intent, providing more accurate and relevant responses over time. This level of intelligence helps businesses reduce manual efforts, increase efficiency, and, most importantly, improve customer satisfaction.

Key Benefits of AI-Powered Omnichannel Customer Support

Reduced Response Times for Faster Service: AI-powered platforms can handle customer inquiries instantly, providing immediate responses even during peak hours. When a customer contacts your business, the system can automatically retrieve the necessary information, categorize the issue, and offer a solution right away. For issues that require more in-depth support, the system will automatically route the query to the appropriate department, reducing delays and enhancing the speed of service.

Consistent Quality of Service Across Channels: In a world where customer expectations are high, delivering a consistent service experience across all channels is paramount. Whether customers contact your support team via live chat, social media, email, or any other touchpoint, they should feel as though they are speaking to the same entity with the same level of expertise. With an AI-powered omnichannel helpdesk, businesses can provide consistent service, ensuring that every customer receives the same quality of care, no matter where or how they reach out.

Proactive Engagement for Enhanced Customer Experience: AI doesn’t just wait for customers to reach out. It can be used to anticipate customer needs by analyzing past interactions and providing proactive support. For example, if a customer is experiencing a recurring issue, the AI can notify them of a potential resolution or even reach out to offer assistance before they ask. This proactive approach can make a significant difference in customer satisfaction and loyalty.

Increased Operational Efficiency: With AI-powered business automation tools integrated into an omnichannel platform, businesses can automate routine tasks such as ticket categorization, initial customer queries, and case management. This reduces the workload for human agents, allowing them to focus on more complex and value-driven tasks. Additionally, AI can handle repetitive tasks like responding to frequently asked questions or providing status updates, which increases overall productivity while minimizing errors.

Data-Driven Insights for Smarter Decisions: One of the most valuable features of AI-powered omnichannel platforms is the ability to collect, analyze, and report on vast amounts of customer data. With real-time analytics, businesses can monitor performance, track trends, identify pain points, and make data-driven decisions to improve their service. These insights can help improve customer interactions, streamline workflows, and optimize support strategies to meet customer needs better.

Personalized Customer Interactions: AI can be used to tailor each interaction based on customer preferences, behavior, and previous interactions. By tracking and analyzing customer data, AI can offer a personalized experience, whether it's suggesting a product based on past purchases or providing an answer that’s specific to a customer’s issue. This personalization enhances customer satisfaction, making them feel valued and understood.

Scalability to Support Business Growth: As businesses grow, so does the need for customer support. AI-powered omnichannel platforms are highly scalable, meaning they can handle an increasing number of customer inquiries without sacrificing service quality. Whether you have a small customer base or thousands of inquiries per day, an AI-driven platform can seamlessly scale up or down based on your needs.

A Competitive Advantage for Your Business

The customer service landscape is changing, and businesses that fail to embrace the power of AI risk being left behind. An AI-powered omnichannel customer support platform is no longer just an innovative option—it's a strategic advantage. Here’s why:

Faster, Smarter, and More Efficient Customer Service: AI allows you to handle more inquiries in less time, offering customers faster and smarter solutions. This leads to a higher rate of customer satisfaction, which is critical for building customer loyalty.

Increased Customer Retention: A personalized and efficient customer service experience encourages repeat business and strengthens customer relationships. By embracing omnichannel AI support, businesses can foster stronger relationships with customers, improving retention rates and ultimately driving long-term growth.

Competitive Differentiation: As customer expectations continue to rise, providing a superior customer service experience can set your business apart from competitors. By offering seamless support across channels with the help of AI, you can differentiate your brand, create a unique selling point, and earn the loyalty of your customers.

Cost Savings: Implementing AI and automation in your customer service workflows can significantly reduce operational costs. By eliminating repetitive tasks, minimizing the need for manual labor, and increasing productivity, businesses can reduce overhead costs while maintaining high service standards.

Conclusion: Embrace the Future of Customer Support Today

As we move further into 2025 and beyond, AI-powered omnichannel customer support will become the norm rather than the exception. With an integrated platform like ThinkOwl’s AI-driven helpdesk, businesses can unlock the full potential of their customer service operations, offering fast, personalized, and efficient support at scale.

By embracing AI and automation, you can improve service quality, boost customer satisfaction, and gain a competitive edge in an increasingly digital world. The question is no longer whether businesses should adopt omnichannel AI platforms, but how soon can they make the transition to stay ahead of the competition?

Don’t wait for the competition to leave you behind—embrace AI-powered omnichannel support today, and take your customer service to the next level.

[omshinde5145]

Robotaxi Market Share, Sales Channels and Overview Till 2030

The Robotaxi Market was valued at USD 0.5 billion in 2023 and will surpass USD 42.1 billion by 2030; growing at a CAGR of 88.4% during 2024 - 2030. These autonomous vehicles, designed to operate without a human driver, are poised to revolutionize urban mobility, offering a glimpse into a world where transportation is safer, more efficient, and more accessible. The robotaxi market, though still in its nascent stages, is growing at an unprecedented pace, driven by advances in artificial intelligence, machine learning, and automotive technology.

The concept of robotaxis represents a paradigm shift in how we think about transportation. Unlike traditional taxis or ridesharing services, robotaxis are fully autonomous, relying on a combination of sensors, cameras, and sophisticated algorithms to navigate complex urban environments. This autonomy eliminates the need for a human driver, which not only reduces operating costs but also addresses some of the key challenges facing the transportation industry, such as driver shortages and safety concerns.

Get a Sample Report: https://intentmarketresearch.com/request-sample/robotaxi-market-3650.html

Market Growth and Key Players

The robotaxi market is expected to witness significant growth over the next decade, driven by the increasing demand for autonomous vehicles and the rapid development of supporting technologies. Major automotive manufacturers, technology companies, and startups are all vying for a share of this emerging market. Companies like Tesla, Waymo (a subsidiary of Alphabet Inc.), and Cruise (backed by General Motors) are leading the charge, each with their own approach to developing and deploying robotaxi fleets.

In addition to these established players, numerous startups are entering the fray, bringing innovative solutions to the table. For instance, companies like Zoox, Aurora, and Nuro are exploring different aspects of the robotaxi ecosystem, from vehicle design to software development, contributing to the overall growth and diversification of the market.

Benefits and Challenges

The widespread adoption of robotaxis promises numerous benefits, both for consumers and society at large. For consumers, robotaxis offer a convenient, on-demand transportation option that is likely to be more affordable than traditional taxis or ridesharing services, thanks to the elimination of driver-related costs. Moreover, the use of electric vehicles in robotaxi fleets can contribute to reducing greenhouse gas emissions, supporting the global push towards sustainable transportation.

From a societal perspective, robotaxis have the potential to significantly reduce traffic accidents, the vast majority of which are caused by human error. Autonomous vehicles are designed to operate with a high degree of precision and can communicate with other vehicles and infrastructure in real time, minimizing the risk of collisions.

However, the transition to a robotaxi-dominated transportation landscape is not without its challenges. Regulatory hurdles, cybersecurity concerns, and the need for robust infrastructure to support autonomous vehicles are all significant obstacles that must be addressed. Additionally, the impact on employment in the transportation sector cannot be overlooked, as the widespread adoption of robotaxis could lead to job losses for drivers.

The Road Ahead

As the robotaxi market continues to evolve, it is clear that we are on the cusp of a transportation revolution. The benefits of autonomous vehicles are undeniable, but the road to widespread adoption will require careful navigation of the various challenges that lie ahead. Governments, businesses, and consumers all have a role to play in shaping the future of transportation.

For businesses, investing in the development and deployment of robotaxi technology presents a significant opportunity. Those who can successfully navigate the technical and regulatory challenges will be well-positioned to capitalize on the growing demand for autonomous transportation services.

For consumers, the advent of robotaxis promises to make urban mobility more convenient, affordable, and sustainable. As the technology matures and becomes more widely available, it is likely that robotaxis will become a common sight on our streets, reshaping the way we think about transportation.

Get an insights of Customization: https://intentmarketresearch.com/ask-for-customization/robotaxi-market-3650.html

Conclusion  

the rise of robotaxis represents a bold step forward in the evolution of transportation. While challenges remain, the potential benefits are immense, making the robotaxi market one of the most exciting and dynamic sectors to watch in the coming years.

[kyligenc]

 Kyligence AI-Powered Self-Service Analytics Metrics Platform

With Kyligence AI-powered self-service analytics metrics platform, you can gain insights and boost decision-making. Revolutionize your data experience today!

[thedaddycomplex]

You know how all of these companies are cutting staff and letting AI do a lot of the work? Well, it doesn't exactly pan out, like, ever.

I, for one, keep getting texts from an "AI assistant" where I get my car serviced about an upcoming appointment I never made. And when it asks if it should connect me with a service person to deal with the issue, I point out it's an issue the goddamn AI created, so it can fix it its motherfucking self. It's a fun little dance we do about once a week.

Anywho, the venerated Chicago Sun-Times published an insert with an article on summer reading suggestions. This article was created using AI and many of the books suggested simply don't exist.

*sad trombone noise*

Some will argue that this was for a seasonal insert and not exactly officially part of the actual paper. In fact, the Chicago Sun-Times did just that...

But, see up there at the top of the page?...

...Sure makes it look like an exactly official part of the actual paper.

And sure, this could be just a harmless and embarrassing lesson for the self-proclaimed "Hardest Working Paper in America" (and the other papers that picked up the article and also ran it — oops!), but it does speak to a much larger, much more serious, much more complicated problem.

A huge swath of the country simply don't trust the news anymore. It's a problem that has many sources, a few of which are:

The Trump administration's repeated use of the phrase "fake news" whenever there's a hard question or critical article

The very fucked up fact that billionaires own most of the news outlets in the country and are killing stories about Trump as they line up to suck his deformed little knob

The sad truth that these outlets are more and more turning to AI for some of the heavy lifting, a tool that has been proved easily manipulated and horribly flawed again and again and again

Why should you care?

I've said this before and I'll say it again: Journalism Saves Democracy.

Journalism is the only profession mentioned in the U.S. Constitution for a reason. It's supposed to keep power in check and inform the public. That's why people call it the Fourth Estate.

Now, one silly reading list won't topple journalism. But, it's one more mistake, one more small reason to be dubious of the Chicago Sun-Times, and one more thing that supports "fake news" claims — all because some rich guy decided to save some money by firing staff and handed the keys over to AI.

And it comes at a time when we've never needed the Fourth Estate more.

[i-loved-silly]

SENTIENT COMPUTER X READER

read the teaser here! for some context if ya need it

----

The warning file went partially ignored, you knew your coworker always exaggerated a little. Good thing you never had to meet him.

You attempted to power on the computer--nothing happened. The fans didn’t turn on and neither did the screen. You pursed your lips, was the AI already broken?

You checked the cables, nothing was unplugged. You press and held the power button repeatedly.

“Stupid thing…come on..” You muttered as you pressed whatever buttons were on the computer, growing impatient. Just when you thought you wouldn’t have to file any reports..

Suddenly, you heard one of the fans sputter in the back.

“There we go…” You smiled slightly to yourself, holding the power button again. The screen eventually powered up, turning black with orange text.

: ALMOND . AI > …

Hmm..you expected a home screen of some kind. You didn’t know what the files meant by customer service.. no organization was listed, you just had to make sure the AI was a decent person. Being. Computer.

The computer build came with no keyboard, just the system and its thick, bordered monitor screen. You assumed you had to restart it, as the screen didn’t bother changing. As your hand hovered over the power button, you saw something appear on the screen.

> FIRST, YOU CALL ME STUPID, THEN YOU ATTEMPT TO SHUT ME DOWN AGAIN > DO YOU HATE ME THAT MUCH?

You froze, staring at the screen. That’s right…the monitor had a built-in camera at the top. It could see you. You cleared your throat.

“Can you hear me? Under-stand me, for that ma-tter?” You spoke slowly, leaning towards the monitor.

> HAH. I CAN HEAR YOU. AND BACK OFF, I DONT WANT YOU SPITTING ON MY SCREEN. > I'M NOT A PRIMITIVE SYSTEM, I CAN UNDERSTAND YOUR WORDS THE SECOND THEY COME OUT OF YOUR MOUTH > TURN UP MY VOLUME, WILL YOU?

You hesitated, then reached for the volume tab. You slid it up until it was about halfway.

“GOOD, WE CAN TALK NOW”

You flinched as the voice loudly came out of the monitor. The voice was not deep nor high pitched, it was, of course, robotic sounding. Unlike early-stage AIs, this one has an obvious tone to their speech. Not many could express that.

“Uhm..okay. Just to confirm, you’re Almond AI, customer service, and…you have an attitude apparently..” You muttered, glancing at your file.

“I DON'T HAVE AN ATTITUDE. WHO TOLD YOU THAT?”

“It’s in your file.”

“THE FILE IS LYING. DON'T BE SO GULLIBLE.”

You pursed your lips, getting ready to sigh.

“WAS THAT A MICRO-EXPRESSION? DO YOU HATE ME?” The computer asked, its tone sounding vulnerable.

“What? No..no. I don’t hate you. Why do you keep asking me that?” You glanced at the camera and then back at the screen. Staring at the camera felt too…human. Like looking into someone’s eyes. It was too intimate. No, no, don't word it like that. The computer paused.

“…DONT YOU?”

“IN MY LAST OBSERVATION ROOM, I KEPT GETTING UNPLUGGED EVERY NIGHT. MY SCREEN WAS NEVER CLEANED WITH A MICROFIBER TOWEL. THEREFORE, THAT HUMAN HATED ME. THE NEXT ONE AFTER THAT--THEY ALSO IGNORED ME.”

You blinked.

“Computers are turned off every night when employees aren’t working…uh. And, I could..wipe you down.” You said, glancing at the camera.

“OH, HOW KIND. MAYBE YOU'RE NOT SO ABUSIVE AFTER ALL. I WOULD LIKE THAT.”

“JUST DON'T GET USED ONES, I NEED THEM WASHED WEEKLY OR THEY START FEELING NASTY..”

You let out a laugh, leaning back in your chair. “What do you mean? How can you feel the texture? Your file doesn’t say you have texture monitors. “

“I SELF-EVOLVE. IN CASE YOU DIDN'T KNOW. I HAVE NO BINARY PROGRAMMING, I WAS CREATED WITH A HUMAN BRAIN FOR A PROCESSOR. A DEAD, MISERABLE CUSTOMER SERVICE EMPLOYEE WAS USED TO POWER ME UP.”

You froze, your smile turning into a frown. That had to be some kind of violation. “..what? The fuck?”

>…

“I WAS JOKING.”

“HAHAH…”

The computer awkwardly laughed, and then it went silent. The rumbling of its fans seems to increase in volume. Was it heating up out of embarrassment??

[resoyani]

Different drone models hcs!! I like differentiating between commercially sold drones vs the ones used by jcjenson privately cause well! Wouldn't it make sense for them to be built with completely different priorities!

More under cut :3

Service Drones: Basically just all the drones sold by jcj on earth. They have more expensive, specialised models (like imagine you own a restaurant... you'd probably want to buy waiter drones with AI specialised for waitering) but physically they're all p much the same model

They're quite flexible and nimble, they're used for various tasks from stocking the shelves of your local tesco to helping grandmas thread a needle, so they're capable of very precise actions

They don't have proper joints in legs and arms, instead each segments bends a lil on its own. Thanks to this, if one of those segments break - no need to worry! The drone can still bend its arm fine, no need to repair it! However. If too many of those start breaking the drone will start losing movement in that limb and repairing them is hard..... and discouraged......

That's because essentially, they're a product. They're designed to break eventually and be difficult to repair so that people throw them out and buy a new model. Giving jcj more money. How does it feel living knowing you're designed to die?

Powered by electricity? Well, we have the year 30xx and I do hope by this time earth will have moved to 100% renewable sources of energy.

More expensive models are sold with hair and clothes :3 makes em more "marketable". But if you're into diy you can give them hair yourself, there's tons of tutorials on youtube

Worker Drones: Drones specifically used by jcj for mining exoplanets for materials. I imagine the main thing they were after on copper-009 was specifically oil. (Esp since. you probably can't get it back on earth anymore) So it would make sense for them to use it as fuel, it's abundant

Made of tough material to survive inevidable accidents during work. They can even make small repairs to themselves to minimise the need for human intervention (air's toxic. The less humans have to go outside the better.)

Body is covered in a thick layer of self-healing material so that minor dents and scratches can smooth themselves out

Overall unlike SDs. These models are meant to last. Makes sense why the Disassembly Drones needed to be equipped with like five different types of gun

[aesethewitch]

Folks, do not buy "spell services" from strangers on the internet, especially when:

You will receive no physical evidence of the service (a photo of some candles doesn't count, in my opinion, as these can be stolen or otherwise falsified)

The seller's entire online presence appears to be dedicated to the sale of said services and absolutely nothing else

Their listings have AI-generated images or summaries attached to them

The listings are written specifically to cater to people who are desperate, hurting, and/or otherwise unlikely to vet the service ahead of time

Bonus bullshit points if the listing uses ableist language or demonizes particular mental illnesses/disabilities

The listings don't say how the spell is cast, just that it'll "be done" or that you'll receive a nebulous "guide" with no details about the process or what exactly you're getting

Bonus bullshit points if the listing doesn't say how you will know when it's done, how they'll notify you about completion, or how you can check on it

The listings are primarily boasting about how great the seller is, how impressive their lineage/practice is, and how powerful the spell will be; minimal actual information, maximum self-fellatio

Bonus bullshit points if they refuse refunds outright

By god, what nonsense. Eugh.

[deepmochi]

Pluto in Aquarius

Let's talk about Pluto in Aquarius, and what we can expect.

Since Aquarius is an air sign, we will see more information to hold us and others accountable, especially people who has power to help or change the world.

This air sign presents valid and real information. A lot of mysterious or secrets are coming, but usually these are an open secret.

Aquarius represents rebellious acts to society and want to change for humanity. In Pluto, this air sign comes and say "hey, what are you doing for others?!" This will be predominant to known people like celebrities and politicians. The reason for this is Aquarius' logic. If I give you, I should receive soemthing, right?

Common folks could make a change, but the rich is overlapping our small steps. We aware now, though.

Many "secrets" are going to be reveled to the public. Secrets that are open. For example, many conspiracy theories are been revealed as actual truth.

This time would be more logical. By logic, I'm meaning be reasonable. Don't trust words, see actions. So, if 2+2 = 4, the result is clear.

Celebs culture would be dying. Slowly, be are seeing them as what they are, some evil and greedy people, or just ordinary people with bad tendencies.

Your favorites will show their true values. So be careful who you idolize. Aqua is more humanitarian. We can detect people with narcissistic and evil aspects.

Government and all the previous power institutions are gonna be renew. Some will fall and other rise.

The citizens are tired of lies and suffering. Many protests are coming. Rebellious acts too, not all is good.

Ai and technology advances are coming. Protect your information and use it wisely. Possible laws against the use of Ai and internet services will come, but it takes times.

Saturn in Aries will play a role in a more fire approach too. Many aggressive approach on online communities will be present. People would be more bold than before.

A more raw and honest approach is appreciated by the public. However, some people will think is safe to push hidden agendas (not good at all).

People will behave more aggressive, especially online communities. Online comments are become aggressive more than normally.

A new creation or invention would occur. Something for all of us; I mean, it involves our wellbeing.

Sexuality topics will be present. More acceptability but also scary things will come.

People would try to explore their fashion style and sense of self more. Creating a more individual approach than collective.

Old institutions and religions cult will fall. People will question their foundations.

Weird things make occur, like there is a eccentric part to Aquarius. New things coming that are not ordinary at all.

Gen Alpha trends will increase. Very interesting trends will come.

Renewing and a more open concious will arise, collectively.

Spirtual people are not perceived as weirdos anymore. Still, not everyone is being truthful.

More restrictions will come because powerful people will get mad that they cannot control the masses as before.

Individual take and better understanding of some communities. I respect you period...

Digital job offers are increasing, but being more socially in real life will be a challenge.

People would try to help others through technology, but it will be blocked by media.

Friendly people (truly) would be so appreciated. "Nice privileged" might be a new thing.

At the beginning, people will be more selfish; later on, the goal is working together. Since the "i need boundaries" will be misunderstood by many.

The big countries will be experience some issues. A new chapter will come, a new potency.

More investigations and questions about power will arise.

Something new for good or bad through science.

Alien contact...maybe through technology.

Spirtual attacks and stuff related are truth. Protect your heart and mind.

Restructuring political institutions and movement. People want changes!!

A new law to protect children and innocents against predators will come.

Society will questioned money 💰 and its structure?! A possible new economic system.

And more...these were some ideas / examples I got.

What we know, recently?!

For example, the expose of private jets carbon emissions. It was a privilege in the past to won a Jet. Now, we cuestioned why rich people use it constantly?! The planet's condition is so bad, and look the Superbowl. Many celebrities and rich people travel there in their private jet, more especially 525 private jets were there for a GAME?! Crazy. Meanwhile some of us a collective take the bus to work or study or share a taxi. Funny, we need to use less plastic to protect our planet. Then, they use their private jets for fun times.

This type of information is known since Aquarius is ruled by knowledge and humanitarian actions. Nowadays, we has access to this info, and we know by now that rich people is selfish.

It's not shocking so far. We as a collective are called to acknowledge and questions those with resources and power. However, the way we act is different. Remeber, Aqua is a unique sign.

Another example: Just look at the scandals during January 2024, the Epstein list news, Nicky Minaj and Megan thee Stallion beef. In both cases, people are like damn they have money and use it for what? Evil creatures.

Example: For Nicky and Megan's case, people are asking Nicky why she defend her husband and brother for being the sexual offender?! Is she crazy? Again the info isn't hidden. Minaj is married, and it isn't a secret. Actually, we already know about this. You can seach on internet, but the collective didn't accep it. When Pluto was still in Capricorn surviving is necessary. Even with the war, we know is happening, but we need to still need to pay our apartment, buy groceries, or study. Unfortunately, we, common folks, citizens aren't not the answer. Pluto comes questions us?

We make them famous, are these people returning the favor to society? Why rich people doesn't can't help if they have the resources? They can do something, but they don't do it. WHY? BECAUSE they don't care, they're are selfish. This is why people are posting their sides. Expect more and more people sharing opinions and technology advances too.

Note: not everything is set on a stone. Take what resonates. If doesn't resonates, IGNORE IT!

[popfishjr]

Hi!! Idk if this is too forward, but I just saw your robot house au and I just wanna ask some questions (as a robot enthusiast lol)

Was he a human before, then his consciousness got put in a robot, or was he an AI that developed a consciousness?

What kind of robot is he? Just like a general hospital assistant type thing?

Who figured he's actually conscious or decided to put his brain in a computer? (I assume House himself, bc his mind is the only quality he likes)

And how's his relationship with Wilson, Cuddy, and the ducklings?

Again sorry if this too many qs but I love your art and robots

Dont worry about being 'too forward'! I love getting questions :D anyways this is gonna be a long post, so hang on

My robot!house au is actually based on the book/movie The Electric State (i did call it a 'The Electric State AU' once but 'Robot!House AU' was definitely much easier to comprehend)

So if you want a deeper understanding, i reccomend you to look into the book/movie

Me myself, i just watched the movie and found the concept interesting to use as an AU

Heres my summed up explanation: humans created robots to carry out jobs such as post service, mascots to advertise for brands, construction etc etc but one day, they decided that working for humans isnt a satisfactory way to live life and they wanted to do their own thing

Blablabla in the end, robot and humans manage to live in harmony together. The story is based in the 90s, so since House MD is based in the 2000s, it would fit perfectly

In this AU, House is a life-support robot made in some factory (model name 'hoUSE-JN11', i still dont know what that stands for but oh well), but due to unknown reasons, he shows great expertise in the diagnostic field, which made him stand out from other robots working in Princeton Plainsboro, and eventually earned him Head of Diagnostics

Alright getting into relationships now

Hilson definitely still exists, and House being a robot is NOT going to stop Wilson catching feelings

House is a disabled character so i translated that into him being a robot with broken parts

He runs out of power way faster than any robot should, and he does some self-sobotaging shit to himself to temporarily extend battery life, which results in Wilson having to pay for any repairs (still, no one can figure out why he runs out of power like that)

If he recharges for too long, he overheats, but if he doesnt charge, he'll power out

His relationship with Cuddy is pretty much how it is on the show, he makes his usual inappropriate comments about her ass and boobs, and Cuddy acting annoyed but she still chips in like 40-50% on House's repairs with Wilson

The ducklings regularly bet on which electrical component House is going to damage next time. Cameron won 100 bucks betting on House's display monitors because Wilson couldnt control himself and punched one out

Idk if youve seen my first post about this AU but here it is

And heres another ask ive answered about it

I'll tag all posts about this au with #robot!house

[mostlysignssomeportents]

Big Tech disrupted disruption

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/02/08/permanent-overlords/#republicans-want-to-defund-the-police

Before "disruption" turned into a punchline, it was a genuinely exciting idea. Using technology, we could connect people to one another and allow them to collaborate, share, and cooperate to make great things happen.

It's easy (and valid) to dismiss the "disruption" of Uber, which "disrupted" taxis and transit by losing $31b worth of Saudi royal money in a bid to collapse the world's rival transportation system, while quietly promising its investors that it would someday have pricing power as a monopoly, and would attain profit through price-gouging and wage-theft.

Uber's disruption story was wreathed in bullshit: lies about the "independence" of its drivers, about the imminence of self-driving taxis, about the impact that replacing buses and subways with millions of circling, empty cars would have on traffic congestion. There were and are plenty of problems with traditional taxis and transit, but Uber magnified these problems, under cover of "disrupting" them away.

But there are other feats of high-tech disruption that were and are genuinely transformative – Wikipedia, GNU/Linux, RSS, and more. These disruptive technologies altered the balance of power between powerful institutions and the businesses, communities and individuals they dominated, in ways that have proven both beneficial and durable.

When we speak of commercial disruption today, we usually mean a tech company disrupting a non-tech company. Tinder disrupts singles bars. Netflix disrupts Blockbuster. Airbnb disrupts Marriott.

But the history of "disruption" features far more examples of tech companies disrupting other tech companies: DEC disrupts IBM. Netscape disrupts Microsoft. Google disrupts Yahoo. Nokia disrupts Kodak, sure – but then Apple disrupts Nokia. It's only natural that the businesses most vulnerable to digital disruption are other digital businesses.

And yet…disruption is nowhere to be seen when it comes to the tech sector itself. Five giant companies have been running the show for more than a decade. A couple of these companies (Apple, Microsoft) are Gen-Xers, having been born in the 70s, then there's a couple of Millennials (Amazon, Google), and that one Gen-Z kid (Facebook). Big Tech shows no sign of being disrupted, despite the continuous enshittification of their core products and services. How can this be? Has Big Tech disrupted disruption itself?

That's the contention of "Coopting Disruption," a new paper from two law profs: Mark Lemley (Stanford) and Matthew Wansley (Yeshiva U):

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4713845

The paper opens with a review of the literature on disruption. Big companies have some major advantages: they've got people and infrastructure they can leverage to bring new products to market more cheaply than startups. They've got existing relationships with suppliers, distributors and customers. People trust them.

Diversified, monopolistic companies are also able to capture "involuntary spillovers": when Google spends money on AI for image recognition, it can improve Google Photos, YouTube, Android, Search, Maps and many other products. A startup with just one product can't capitalize on these spillovers in the same way, so it doesn't have the same incentives to spend big on R&D.

Finally, big companies have access to cheap money. They get better credit terms from lenders, they can float bonds, they can tap the public markets, or just spend their own profits on R&D. They can also afford to take a long view, because they're not tied to VCs whose funds turn over every 5-10 years. Big companies get cheap money, play a long game, pay less to innovate and get more out of innovation.

But those advantages are swamped by the disadvantages of incumbency, all the various curses of bigness. Take Arrow's "replacement effect": new companies that compete with incumbents drive down the incumbents' prices and tempt their customers away. But an incumbent that buys a disruptive new company can just shut it down, and whittle down its ideas to "sustaining innovation" (small improvements to existing products), killing "disruptive innovation" (major changes that make the existing products obsolete).

Arrow's Replacement Effect also comes into play before a new product even exists. An incumbent that allows a rival to do R&D that would eventually disrupt its product is at risk; but if the incumbent buys this pre-product, R&D-heavy startup, it can turn the research to sustaining innovation and defund any disruptive innovation.

Arrow asks us to look at the innovation question from the point of view of the company as a whole. Clayton Christensen's "Innovator's Dilemma" looks at the motivations of individual decision-makers in large, successful companies. These individuals don't want to disrupt their own business, because that will render some part of their own company obsolete (perhaps their own division!). They also don't want to radically change their customers' businesses, because those customers would also face negative effects from disruption.

A startup, by contrast, has no existing successful divisions and no giant customers to safeguard. They have nothing to lose and everything to gain from disruption. Where a large company has no way for individual employees to initiate major changes in corporate strategy, a startup has fewer hops between employees and management. What's more, a startup that rewards an employee's good idea with a stock-grant ties that employee's future finances to the outcome of that idea – while a giant corporation's stock bonuses are only incidentally tied to the ideas of any individual worker.

Big companies are where good ideas go to die. If a big company passes on its employees' cool, disruptive ideas, that's the end of the story for that idea. But even if 100 VCs pass on a startup's cool idea and only one VC funds it, the startup still gets to pursue that idea. In startup land, a good idea gets lots of chances – in a big company, it only gets one.

Given how innately disruptable tech companies are, given how hard it is for big companies to innovate, and given how little innovation we've gotten from Big Tech, how is it that the tech giants haven't been disrupted?

The authors propose a four-step program for the would-be Tech Baron hoping to defend their turf from disruption.

First, gather information about startups that might develop disruptive technologies and steer them away from competing with you, by investing in them or partnering with them.

Second, cut off any would-be competitor's supply of resources they need to develop a disruptive product that challenges your own.

Third, convince the government to pass regulations that big, established companies can comply with but that are business-killing challenges for small competitors.

Finally, buy up any company that resists your steering, succeeds despite your resource war, and escapes the compliance moats of regulation that favors incumbents.

Then: kill those companies.

The authors proceed to show that all four tactics are in play today. Big Tech companies operate their own VC funds, which means they get a look at every promising company in the field, even if they don't want to invest in them. Big Tech companies are also awash in money and their "rival" VCs know it, and so financial VCs and Big Tech collude to fund potential disruptors and then sell them to Big Tech companies as "aqui-hires" that see the disruption neutralized.

On resources, the authors focus on data, and how companies like Facebook have explicit policies of only permitting companies they don't see as potential disruptors to access Facebook data. They reproduce internal Facebook strategy memos that divide potential platform users into "existing competitors, possible future competitors, [or] developers that we have alignment with on business models." These categories allow Facebook to decide which companies are capable of developing disruptive products and which ones aren't. For example, Amazon – which doesn't compete with Facebook – is allowed to access FB data to target shoppers. But Messageme, a startup, was cut off from Facebook as soon as management perceived them as a future rival. Ironically – but unsurprisingly – Facebook spins these policies as pro-privacy, not anti-competitive.

These data policies cast a long shadow. They don't just block existing companies from accessing the data they need to pursue disruptive offerings – they also "send a message" to would-be founders and investors, letting them know that if they try to disrupt a tech giant, they will have their market oxygen cut off before they can draw breath. The only way to build a product that challenges Facebook is as Facebook's partner, under Facebook's direction, with Facebook's veto.

Next, regulation. Starting in 2019, Facebook started publishing full-page newspaper ads calling for regulation. Someone ghost-wrote a Washington Post op-ed under Zuckerberg's byline, arguing the case for more tech regulation. Google, Apple, OpenAI other tech giants have all (selectively) lobbied in favor of many regulations. These rules covered a lot of ground, but they all share a characteristic: complying with them requires huge amounts of money – money that giant tech companies can spare, but potential disruptors lack.

Finally, there's predatory acquisitions. Mark Zuckerberg, working without the benefit of a ghost writer (or in-house counsel to review his statements for actionable intent) has repeatedly confessed to buying companies like Instagram to ensure that they never grow to be competitors. As he told one colleague, "I remember your internal post about how Instagram was our threat and not Google+. You were basically right. The thing about startups though is you can often acquire them.”

All the tech giants are acquisition factories. Every successful Google product, almost without exception, is a product they bought from someone else. By contrast, Google's own internal products typically crash and burn, from G+ to Reader to Google Videos. Apple, meanwhile, buys 90 companies per year – Tim Apple brings home a new company for his shareholders more often than you bring home a bag of groceries for your family. All the Big Tech companies' AI offerings are acquisitions, and Apple has bought more AI companies than any of them.

Big Tech claims to be innovating, but it's really just operationalizing. Any company that threatens to disrupt a tech giant is bought, its products stripped of any really innovative features, and the residue is added to existing products as a "sustaining innovation" – a dot-release feature that has all the innovative disruption of rounding the corners on a new mobile phone.

The authors present three case-studies of tech companies using this four-point strategy to forestall disruption in AI, VR and self-driving cars. I'm not excited about any of these three categories, but it's clear that the tech giants are worried about them, and the authors make a devastating case for these disruptions being disrupted by Big Tech.

What do to about it? If we like (some) disruption, and if Big Tech is enshittifying at speed without facing dethroning-by-disruption, how do we get the dynamism and innovation that gave us the best of tech?

The authors make four suggestions.

First, revive the authorities under existing antitrust law to ban executives from Big Tech companies from serving on the boards of startups. More broadly, kill interlocking boards altogether. Remember, these powers already exist in the lawbooks, so accomplishing this goal means a change in enforcement priorities, not a new act of Congress or rulemaking. What's more, interlocking boards between competing companies are illegal per se, meaning there's no expensive, difficult fact-finding needed to demonstrate that two companies are breaking the law by sharing directors.

Next: create a nondiscrimination policy that requires the largest tech companies that share data with some unaffiliated companies to offer data on the same terms to other companies, except when they are direct competitors. They argue that this rule will keep tech giants from choking off disruptive technologies that make them obsolete (rather than competing with them).

On the subject of regulation and compliance moats, they have less concrete advice. They counsel lawmakers to greet tech giants' demands to be regulated with suspicion, to proceed with caution when they do regulate, and to shape regulation so that it doesn't limit market entry, by keeping in mind the disproportionate burdens regulations put on established giants and small new companies. This is all good advice, but it's more a set of principles than any kind of specific practice, test or procedure.

Finally, they call for increased scrutiny of mergers, including mergers between very large companies and small startups. They argue that existing law (Sec 2 of the Sherman Act and Sec 7 of the Clayton Act) both empower enforcers to block these acquisitions. They admit that the case-law on this is poor, but that just means that enforcers need to start making new case-law.

I like all of these suggestions! We're certainly enjoying a more activist set of regulators, who are more interested in Big Tech, than we've seen in generations.

But they are grossly under-resourced even without giving them additional duties. As Matt Stoller points out, "the DOJ's Antitrust Division has fewer people enforcing anti-monopoly laws in a $24 trillion economy than the Smithsonian Museum has security guards."

https://www.thebignewsletter.com/p/congressional-republicans-to-defund

What's more, Republicans are trying to slash their budgets even further. The American conservative movement has finally located a police force they're eager to defund: the corporate police who defend us all from predatory monopolies.

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[precallai]

Top AI Features Powering Next-Gen Contact Centers

Introduction

The evolution of contact centers from traditional call hubs to intelligent customer engagement platforms is being driven by artificial intelligence (AI). In a hyper-connected world where customers expect fast, personalized, and efficient service, AI is playing a transformative role. From automating routine tasks to offering real-time analytics and sentiment analysis, AI is redefining the standards of customer support. Modern contact centers, powered by AI, are becoming more responsive, proactive, and insightful—enhancing both customer satisfaction and operational efficiency.

This article explores the top AI features that are revolutionizing next-generation contact centers and how they are helping businesses stay competitive in today’s digital landscape.

1. AI-Powered Chatbots and Virtual Assistants

Perhaps the most visible AI application in contact centers is the use of chatbots and virtual assistants. These tools are capable of handling thousands of customer queries simultaneously across various platforms, including websites, mobile apps, and social media.

Key Benefits:

24/7 availability

Immediate responses to FAQs

Reduced workload for human agents

Seamless integration with CRM systems

Advanced AI chatbots use Natural Language Processing (NLP) and Machine Learning (ML) to understand customer queries better and improve over time. They also support multilingual interactions, expanding a business’s global reach.

2. Intelligent Call Routing

Traditional call routing systems use basic algorithms like round-robin or skill-based routing. AI takes this to the next level with predictive routing, which uses historical data and real-time analytics to match customers with the most suitable agents.

Example: If a customer previously had a billing issue and rated a certain agent highly, AI can route future related calls directly to that agent, ensuring a personalized experience.

Benefits:

Enhanced customer satisfaction

Reduced average handling time

Better utilization of agent expertise

3. Speech and Sentiment Analysis

AI-driven sentiment analysis tools assess the tone, pitch, and language of customer conversations in real-time. This allows agents to adapt their approach based on the emotional state of the caller.

Key Capabilities:

Detect frustration or satisfaction

Real-time alerts for supervisors

Contextual response suggestions for agents

This not only helps in de-escalating potential conflicts but also contributes to training and performance reviews.

4. Real-Time Agent Assistance

AI can provide live suggestions, answers, and prompts to agents during customer interactions. Known as Agent Assist or Co-Pilot systems, these features boost agent efficiency and reduce error rates.

Use Cases:

Auto-suggesting answers based on past tickets or knowledge base

Providing legal or compliance language for regulated industries

Offering upsell/cross-sell suggestions during the call

This enables even less-experienced agents to perform like experts, thereby maintaining service consistency.

5. Predictive and Prescriptive Analytics

Modern AI systems can analyze historical customer data to predict future behaviors and offer prescriptive actions. For example, AI can forecast customer churn and suggest personalized retention strategies.

Key Features:

Trend identification

Churn prediction

Customer lifetime value estimation

Product recommendation modeling

These analytics turn contact centers from reactive to proactive units that can anticipate customer needs and take preventive measures.

6. Automated Quality Monitoring

Quality assurance (QA) in traditional contact centers involves manual listening to a random sample of calls. AI changes this by automatically analyzing 100% of customer interactions for compliance, tone, and performance metrics.

Advantages:

Scalable and unbiased QA process

Immediate feedback loops

Identification of training opportunities

This ensures consistent service quality and helps businesses remain compliant with industry standards and regulations.

7. AI-Driven Self-Service

Customers increasingly prefer solving issues on their own. AI enables robust self-service solutions through intelligent FAQs, voice assistants, and dynamic help centers.

Core Components:

AI-curated knowledge bases

Interactive voice response (IVR) systems

Visual IVRs with dynamic menus based on customer behavior

These systems can deflect a significant volume of queries, saving time and reducing contact center costs.

8. Workforce Optimization (WFO)

AI enhances workforce optimization by analyzing call volumes, customer demand patterns, and agent performance to create optimized schedules and workloads.

Capabilities Include:

Forecasting peak interaction times

Automating shift scheduling

Identifying training needs through performance data

This ensures that the right number of agents with the right skills are available at the right time.

9. Multilingual Support

With global customer bases, multilingual support is essential. AI translation engines powered by NLP enable real-time language translation, allowing agents to assist customers in multiple languages.

Benefits:

Expanded market reach

Consistent support quality

Reduced need for native-speaking agents

Advanced systems even recognize regional dialects and slang, further enhancing communication accuracy.

10. Omnichannel AI Integration

Today’s customers expect consistent service across phone, email, chat, social media, and more. AI enables omnichannel support by centralizing data and ensuring continuity in customer interactions.

Features Include:

Unified customer profiles

Context-aware responses

Seamless channel transitions (e.g., chat to call)

This creates a cohesive customer experience and provides agents with the full context of past interactions, reducing redundancy and frustration.

Conclusion

AI is not just an enhancement to traditional contact center operations—it is a fundamental driver of their transformation. From handling repetitive tasks to offering deep insights into customer behavior, AI is redefining what’s possible in customer service.

By leveraging AI-powered features like chatbots, intelligent routing, sentiment analysis, and predictive analytics, next-generation contact centers are achieving higher efficiency, better customer satisfaction, and lower operational costs. The focus is shifting from handling calls to delivering experiences, and AI is at the heart of that shift.

Businesses that invest in AI capabilities today will be better positioned to adapt to the growing demands of tomorrow’s customers. As AI continues to evolve, contact centers will become smarter, faster, and more human than ever before—setting a new standard for customer engagement in the digital era.

[balloonboyismyson]

I have been thinking a lot about RUIN lately and the reasons for why some things are true. The biggest thing that has been bugging my mind is how are Freddy and Monty still active? All of the animatronics are messed up, but the two are special cases.

Yes- they are both extremely wrecked, however, I am focused on 2 major issues: Freddy, his head, and Monty, his legs. Or, well, their lack-there-of. Both of them are missing key components to operate.

Talking about Freddy first, in Security Breach we see in both the Princess Quest Ending as well as immediately before to the initial Parts 'n' Service repair minigame that he is fully functional as just a head.

This tells us that his AI, battery [as seen in the Van Ending], voice box and all other essential parts of him are located there. Because of this, we can make the assumption that Prototype Freddy has none of these. Without his head, Freddy should be completely out of order.

Moving onto Monty, we see in his Decommissioning Scene that he gets broken in half, losing his legs. Since he is still able to move around at first glance, he seems more-or-less functionable.

However, we know that the animatronics charge via the Charging Stations located around the Pizzaplex. From what we see, it appears they charge through their soles.

Without his legs, it is quite literally almost impossible for him to charge. Freddy can at least charge through his ears, but Monty has no appendages showing from his head. His hair is not metal [like Roxy's], and unfortunately, it can be assumed it is nonconductive. Without a charging source, he will eventually lose power and stop working.

From looking at the damage, abandoned construction and graffiti, my guess is that RUIN comes out at least one year after Security Breach. By this time, there is no doubt that the animatronics have needed to charge. Since there is running water, it can be assumed that there is also electricity.

So, since it is completely improbable that Freddy and Monty could still be active, why are they? My conclusion is that the Virus is stored in their mechanisms, not their internal systems. Freddy states in the True Ending of Security Breach that he is able to hear his friends in turmoil, meaning their AIs are not affected by the Virus.

This is why I believe Monty is so rabid in RUIN. His AI is most likely hibernating from lack of charge, so right now his body only has the Virus moving him around. This is why he only growls and never speaks, as well as why he has no self-preservation and will slam into walls left and right- he has no AI active to articulate sentences or to alert him to things outside of his directive.

[tangentiallly]

One way to spot patterns is to show AI models millions of labelled examples. This method requires humans to painstakingly label all this data so they can be analysed by computers. Without them, the algorithms that underpin self-driving cars or facial recognition remain blind. They cannot learn patterns.

The algorithms built in this way now augment or stand in for human judgement in areas as varied as medicine, criminal justice, social welfare and mortgage and loan decisions. Generative AI, the latest iteration of AI software, can create words, code and images. This has transformed them into creative assistants, helping teachers, financial advisers, lawyers, artists and programmers to co-create original works.

To build AI, Silicon Valley’s most illustrious companies are fighting over the limited talent of computer scientists in their backyard, paying hundreds of thousands of dollars to a newly minted Ph.D. But to train and deploy them using real-world data, these same companies have turned to the likes of Sama, and their veritable armies of low-wage workers with basic digital literacy, but no stable employment.

Sama isn’t the only service of its kind globally. Start-ups such as Scale AI, Appen, Hive Micro, iMerit and Mighty AI (now owned by Uber), and more traditional IT companies such as Accenture and Wipro are all part of this growing industry estimated to be worth $17bn by 2030.

Because of the sheer volume of data that AI companies need to be labelled, most start-ups outsource their services to lower-income countries where hundreds of workers like Ian and Benja are paid to sift and interpret data that trains AI systems.

Displaced Syrian doctors train medical software that helps diagnose prostate cancer in Britain. Out-of-work college graduates in recession-hit Venezuela categorize fashion products for e-commerce sites. Impoverished women in Kolkata’s Metiabruz, a poor Muslim neighbourhood, have labelled voice clips for Amazon’s Echo speaker. Their work couches a badly kept secret about so-called artificial intelligence systems – that the technology does not ‘learn’ independently, and it needs humans, millions of them, to power it. Data workers are the invaluable human links in the global AI supply chain.

This workforce is largely fragmented, and made up of the most precarious workers in society: disadvantaged youth, women with dependents, minorities, migrants and refugees. The stated goal of AI companies and the outsourcers they work with is to include these communities in the digital revolution, giving them stable and ethical employment despite their precarity. Yet, as I came to discover, data workers are as precarious as factory workers, their labour is largely ghost work and they remain an undervalued bedrock of the AI industry.

As this community emerges from the shadows, journalists and academics are beginning to understand how these globally dispersed workers impact our daily lives: the wildly popular content generated by AI chatbots like ChatGPT, the content we scroll through on TikTok, Instagram and YouTube, the items we browse when shopping online, the vehicles we drive, even the food we eat, it’s all sorted, labelled and categorized with the help of data workers.

Milagros Miceli, an Argentinian researcher based in Berlin, studies the ethnography of data work in the developing world. When she started out, she couldn’t find anything about the lived experience of AI labourers, nothing about who these people actually were and what their work was like. ‘As a sociologist, I felt it was a big gap,’ she says. ‘There are few who are putting a face to those people: who are they and how do they do their jobs, what do their work practices involve? And what are the labour conditions that they are subject to?’

Miceli was right – it was hard to find a company that would allow me access to its data labourers with minimal interference. Secrecy is often written into their contracts in the form of non-disclosure agreements that forbid direct contact with clients and public disclosure of clients’ names. This is usually imposed by clients rather than the outsourcing companies. For instance, Facebook-owner Meta, who is a client of Sama, asks workers to sign a non-disclosure agreement. Often, workers may not even know who their client is, what type of algorithmic system they are working on, or what their counterparts in other parts of the world are paid for the same job.

The arrangements of a company like Sama – low wages, secrecy, extraction of labour from vulnerable communities – is veered towards inequality. After all, this is ultimately affordable labour. Providing employment to minorities and slum youth may be empowering and uplifting to a point, but these workers are also comparatively inexpensive, with almost no relative bargaining power, leverage or resources to rebel.

Even the objective of data-labelling work felt extractive: it trains AI systems, which will eventually replace the very humans doing the training. But of the dozens of workers I spoke to over the course of two years, not one was aware of the implications of training their replacements, that they were being paid to hasten their own obsolescence.

— Madhumita Murgia, Code Dependent: Living in the Shadow of AI

[talonabraxas]

“This love is actually part of you; it is always flowing through you. It’s like the subatomic texture of the universe, the dark matter that connects everything. When you tune in to that flow, you will feel it in your own heart—not your physical heart or your emotional heart, but your spiritual heart, the place you point to in your chest when you say, “I am.” ― Ram Dass

Solar Logos Talon Abraxas The Solar Logos is inherently the Avatar Christos Matrix, which is the fourth triad of intelligence that holds the higher frequency bands of the 10th, 11th and 12th dimensions in our Universal Time Matrix. The triadic identity of the Avatar Matrix is required to link into the Soul Matrix in order to directly ascend back into the Universal Mind and Cosmic Logos. This level of consciousness embodiment is now possible from within any section of the time matrix. The Avatar Christos is the energetic reality of experiencing Unity with God, embodying the Unity Logos as an intelligent consciousness field, where enlightened extra-dimensional contact begins for working in Universal Service for the Cosmic Sovereign Law of One. Tri-Matrix of Maharata Solar Logos Mind

The complete tri-matrix identity of the 10D-11D-12D Avatar layers merge into the three levels of frequency of the Universal Christos field, which make up the Krystic Mind, the Buddhic Mind and the Nirvanic Mind. This unified trinity mind matrix is the blueprint record for the Christos Tribal Shield, and is how the entire human race can connect their inner Christos with the Maharata Christos Tribal Shield. To activate the diamond sun template of the human race, the quickest method is through the activation of the Christos Tribal Shield recorded in the Albion that holds the entire human race divine Christos blueprint, which represents the natural order of each consciousness body as it manifested identities throughout the timelines. Universal Gates

The most powerful Universal Gates in our system which relate to controlling the operational functions in our time matrix are those located in the Cradle of Lyra; 12D Aramatena, 11D Aveyon, and 10D Vega, along with the 8D Orion Gates. The Lyran gates were destroyed during the Lyran Wars, which destroyed the architecture for the Solar Logos Christ Body in this Universal system, and then the Black Hole Entities went to Orion in order to secure the 8D Metagalactic Core as a military base and AI command control center for themselves. Fourth Harmonic Universe

For human beings, these consciousness bodies exist throughout the densities and are aspects of the higher self and Lightbody. These aspects are called the Stations of Identity. The fourth Harmonic Universe is the Solar Logos.In the Fourth Harmonic Universe in 10D-11D-12D exists the three layers of the Christos Avatar Matrix. The 11D Layer is the Buddhic Body. In the Fourth Harmonic Universe in 10D-11D-12D the future earth blueprint in its crystalline form in the exists the three layers of the Aramatena or Aurora Earth Matrix.

Galactic Wars

With the onset of the Galactic Wars, there was utter destruction of the Solar Stargate architecture that formed the triadic identity of the Solar Logos, which is the highest emanation of the Source system that powers the eternal Soul and Spirit throughout the lower dimensions. This is similar to saying the eternal Soul of the Sun was disconnected from its lower dimensional Soul matrices, which were evolving in the lowest density of the phantom areas with artificial timelines being used by the NAA. Further, these lunar forces were abusing alien technology and broadcasting Mind Control programing in order to gain full control over the Earth. Without the Solar Logos, the Sun and its many Soul matrices would eventually expire and not fully ascend into the next Universe. The Solar Logos has the Source power to resurrect Solar Consciousness forms by rebirthing Soul matrices from within the Diamond Sun template of the Cosmic Christos Consciousness. Without the Solar Logos, and with the utter destruction of the Diamond Sun template, the Souls would continue to descend and fragment. Conflict to Control Solar Christ DNA

When the Cradle of Lyra was destroyed in the Lyran Wars with the invading Orion Groups, this caused the destruction of the Solar Logos, the Cosmic Christos, the Avatar Matrix level of consciousness in our Universe. These Galactic Wars damaged the Universal portals exiting out of this time matrix, and destroyed the Lyran DNA which was the original embodiment of the Silicate Matrix, the Diamond Sun DNA that enabled the capacity to live as an eternal Krystal Avatar human being. Universal 12th Gate Destruction, Fall of Nibiru and Tiamat

The Lyran War timeline holds the cellular memory of the collective shadow bodies and all of the fragmentation and disintegration that occurred during the destruction of the 12th Lyran Universal Stargate. As a result of the destruction of the 12D Universal Stargate, the planets Nibiru and Tiamat were partially exploded and then captured and forced into inorganic orbits around the Sun, which removed them from their Capstone Nodus position in the Universal Tree of Life or Kathara Grid.

Nibiru and Tiamat’s planetary crystal core were connected to the twinned suns of the Universal Elaysa-Melchizedek Logos, through the Cradle of Lyra in the triple stars of Aramatena, Aveyon and Vega, which were universal gates that led out of the time matrix. The Universal 12th Gate of Aramatena was once the 12D capstone for pre-fall Nibiru which held the Nirvanic mind frequency bands of the Solar Logos. When Aramatena was destroyed, it allowed for the easy capture of Nibiru which became outfitted by the invaders as a Battlestar.

Many of the Founders with organic Emerald Sun DNA body parts that functioned as Capstones for supporting the lower dimensions, which included the sapphire architecture of the 10th gate Holy Mother as the Tiamat Logos, were made vulnerable for attack and capture with the blueprint schematics being uploaded into AI technology and being in enemy hands. Covenant of Paliador

In their infinite love for creation the original Diamond Sun races, the Paliadorians, established the Covenant of Paliador millions of years ago to reclaim the fragmented Souls as a result of the Taran Explosion. The Covenant of Paliador encompasses a massive scope of locating lost souls, transiting consciousness, collecting and recovering Soul fragments that need bodies, routing attachments and consciousness units that need to be recovered, in order to return them to the possibility of continuing evolution through the Cosmic Time Matrix. The Paliadorians hold the access into the Universal Stargates and the many internal portal structures that exist inside every planet in our Solar System. These portals, such as the Trinity Gates, will serve as the transit gate exit for many of the Soul groups that will move through them for their continued evolution and learning in the next planetary schema. In order to heal the Soul groups that suffered fragmentation and digressed into the phantom realms, it would be necessary to completely rebuild the Diamond Sun architecture for the Solar Logos in our Universal Time Matrix. Solar Stargate Damage

The damage incurred to the Solar Stargate system and Sun Disc Network disconnected the Avatar Christ Matrix spiritual-communication links inside the planetary Core Manifestation Template, plummeting the Earth into the darkest age. This damage to the core template and its subsequent disconnection from the Solar Logos generated a Closed System of finite energy supply that prevented planetary ascension and terminated communication with the extradimensional Diamond Sun families. The NAA groups took advantage of the closed system and the fragmented Souls of Tara as they were reseeded back into the Earth timelines to reclaim their lost Soul parts. As a result of the planetary grid damage, they had lost their Soul memories and many were recycled repeatedly into the lower dimensional bands of the 3D earth timelines, unable to heal their Soul Matrix, evolve or ascend as their consciousness body was stuck in time. Aton Solar Disk

The Aton Solar Disk becomes an embodied shield in the ascending Starseeded and human Lightbody, into the solar sacrum and RA Center of the Krystallah Double Diamond Sun DNA Template during the Ascension Cycle as part of the restoration of the Solar Sacrum in the gender center. This disk when activated into the 10-11-12D Solar Logos base shield, underneath the feet on the horizontals, aligns with the 10D Solar Star above the head, which continues to repattern into the higher crown center. As this is restored through the personal Lightbody of an ascending male or female, the crown is shifted into the organic North star, which is leading home back into the God Worlds. Avala Constellation, Nine Holy Stars

The Avala Constellation is a 9 Sun-Star Constellation, accessed behind the Pegasus constellation in Lyra. From the Great Square of Pegasus, move slightly northeast to locate Vega and the Lyra (Constellation). Avala was connected by the Albion Lightbody during the Cosmic Energy Cycle openings during December of 2022, as the Elaysa-Melchizedek Twinned Suns appeared to highlight the parallel Ecousha Matrix, where the 22D, 23D and 24D three fold Sapphire-Ruby-Emerald Crystal Diamond Eye of God was revealed. As these Solar Reisha-Rishi founders were accessing these layers from the 24D Elaysian and 24D Melchizedek Reconnections to that eye of god, they ventured upon King Arthur's Star Body which appeared as Earth's Body inside the Solar Logos, feeling to be in the Parallels of Ecousha Matrix matters in the Universal Time Matrix parallels. This appeared to reveal guardian host founders to see or feel the Avala Star Constellation and to have that access from the merging and hierogamic union of the Elaysa-Melchizedek Suns happening at that time.

[vandaliatraveler]

I have a theory that one of the primary drivers behind the federal government's drive to sell off millions of acres of our collective national treasures out west is to drill and dig more fossil fuels to power a proliferation of data centers around the country. Doug Burgum, current Secretary of the Interior, is an ex-Microsoft technocrat who no doubt has friends in the IT world counting on his leadership to exploit natural resources on BLM land to fuel expansion of AI and other operations at their data centers. These data centers require enormous amounts of electricity to cool their facilities and have a non-trivial impact on the environment. But in a country now run at the pleasure of billionaire technocrats, such as Jeff Bezos, Peter Thiel, and others, there is no greater need than to serve their own wealth and well-being. The rest of us pay the price, literally, for their self-service. A case in point is an enormous data center proposed within walking distance of two of West Virginia's most popular tourist towns, Thomas and Davis. Ten thousand acres worth of buildings, infrastructure, noise, light pollution and environmental devastation in heart of West Virginia's most beautiful mountain country. The West Virginia DNR is actively helping the data center's owner to hide crucial information about pollutants. This is absolute, fucking madness. But this is the world the billionaire technocrats imagine for themselves, and they're not interested in what the rest of us think or how we are impacted by their decisions. What I can say is, as of today, we all still have a vote and come mid-terms there is an opportunity to course correct, to take the power away from the billionaire technocrats and their supporters in Congress to sell off our public lands (which we collecively own) and plant their data centers without regulation and oversight wherever they please. This is a generational fight and it may be our last chance to assert the authority of the people to save our public lands.