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This AI Tool Is Turning YouTube Comments into Privacy Nightmares

A $20 subscription is all it takes to scan millions of YouTube users and build disturbingly detailed digital profiles

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AI surveillance is no longer futuristic — one YouTube comment at a time, your digital persona is being profiled.

In an era where even a simple comment on a video can haunt you, a new AI-powered OSINT tool called YouTube-Tools is sending shockwaves through the tech community and beyond. Created by the pseudonymous developer Lolarchiver, the tool claims it can analyze a user’s public YouTube comment history and build an inferred profile — including their location, language, interests, and even political or cultural leanings — in a matter of seconds.

According to reports by 404 Media, this platform claims access to over 20 billion comments from 1.4 billion users, and it’s selling that analytical power for just $20 a month. All you need is an email and a credit card. With a few clicks, even casual users can use AI to dissect digital footprints and compile detailed psychological and geographical summaries of virtually any YouTube commenter.

What was once a time-consuming job for intelligence officers and journalists is now reduced to a single AI-generated report. And while the developer claims the tools are for “law enforcement” and “licensed investigators,” the reality appears far looser. No real gatekeeping stands in the way of everyday users accessing and deploying the tool — even for dubious purposes.

When Public Turns Problematic

The comments you leave on YouTube may be public, but few users expect them to be used as raw material for surveillance-level profiling. That’s the gray area YouTube-Tools is navigating — and exploiting. Public data is fair game in open-source intelligence, but aggregating and interpreting it at AI scale crosses into disturbing territory.

In one test, the AI correctly inferred that a commenter was based in Italy — deducing it from their use of language and references to local TV shows. It doesn’t take much imagination to see how this kind of profiling could be misused — especially by trolls, doxxers, or even more malicious actors.

The tool is part of a wider suite of OSINT-style utilities created by Lolarchiver, which also includes trackers for Twitch, Kick, nHentai, and even reverse lookups for leaked databases, emails, and phone numbers. Privacy experts have already warned that some of these features may violate the terms of service of the platforms they scrape — not to mention the data protection laws in regions like the European Union or certain U.S. states.

Legal and Ethical Crossroads

YouTube’s terms of service prohibit scraping unless it adheres strictly to its robots.txt file or is explicitly approved — a condition YouTube-Tools likely ignores. Furthermore, some of the platform’s features — like database searches — may tip into illegality depending on whether third-party data is accessed without consent.

The developer, allegedly based in Europe, has claimed that law enforcement agencies in Portugal and Belgium are already using the tool. Yet, ironically, even casual users are allowed in with minimal checks, raising questions about the platform’s sincerity in enforcing responsible use.

Privacy watchdogs are ringing the alarm, especially as historic data breaches like those from Ledger and Coinbase continue to leak sensitive user information. As AI supercharges data aggregation, we move closer to a reality where anyone’s online activity can be spun into a narrative, factual or not, without their awareness.

Public or Paranoid?

Tools like YouTube-Tools highlight a growing tension in the digital age: how public is too public? Comments, tweets, and forum posts have always been accessible. But when AI is trained to read between the lines and build entire personas from scraps of interaction, it’s no longer just about data — it’s about context, consent, and the looming loss of digital anonymity.

The next time you leave a witty comment on a video, remember — someone, somewhere, might be turning that into a dossier.

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ServiceNow to Buy Cybersecurity Startup Armis for $7.75 Billion in Its Biggest Deal Ever

Enterprise software giant deepens security push as AI-driven cyber threats fuel consolidation

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ServiceNow to Buy Cybersecurity Startup Armis for $7.75 Billion in Its Biggest Deal Ever
ServiceNow’s acquisition of Armis marks the company’s biggest deal to date as cybersecurity consolidation accelerates.

ServiceNow has agreed to acquire cybersecurity startup Armis for $7.75 billion, marking the largest acquisition in ServiceNow’s history as it accelerates its expansion into security and artificial intelligence.

The Santa Clara, California–based company will pay all cash for the San Francisco–based firm, according to a statement released Tuesday, confirming an earlier report by Bloomberg News. The transaction is expected to close in the second half of 2026, subject to regulatory approvals and customary closing conditions.

Market reaction and deal financing

ServiceNow shares slipped about 1.3% in early premarket trading in New York following the announcement. The stock had closed up roughly 0.9% on Monday, valuing the company at approximately $163 billion.

ServiceNow said it plans to fund the acquisition through a combination of cash on hand and debt, underscoring its confidence in Armis’ long-term growth and strategic value.

ServiceNow to Buy Cybersecurity Startup Armis for $7.75 Billion in Its Biggest Deal Ever


What Armis brings to ServiceNow

Founded by veterans of Israeli military cyber intelligence, Armis specializes in identifying, monitoring and securing connected devices across complex digital environments. Its platform is widely used in sectors including healthcare, financial services, manufacturing, and defense, where visibility into unmanaged or vulnerable devices is critical.

Earlier this month, Armis CEO Yevgeny Dibrov said the company had reached $300 million in annual recurring revenue, up from $200 million a year earlier. Despite the rapid growth, Armis had been planning a public listing in 2026, a goal now superseded by the ServiceNow deal.

ServiceNow’s broader AI and security push

ServiceNow has been steadily transforming itself into a dominant enterprise workflow and automation platform. In March, the company agreed to acquire AI startup Moveworks for $2.85 billion, a move aimed at building autonomous AI tools capable of completing workplace tasks without human intervention.

“ServiceNow is building the security platform of tomorrow,” said Amit Zavery, the company’s president, chief operating officer, and chief product officer.

“Together with Armis, we will deliver an industry-defining cybersecurity shield that provides real-time, end-to-end proactive protection across all technology estates,” Zavery said.
ServiceNow to Buy Cybersecurity Startup Armis for $7.75 Billion in Its Biggest Deal Ever


Cybersecurity dealmaking accelerates

The Armis acquisition comes amid a surge in large cybersecurity transactions, driven by growing enterprise demand and the rising use of AI to detect and counter hacking threats.

In recent months:

  • Alphabet agreed to buy cloud security firm Wiz for $32 billion
  • Palo Alto Networks struck a deal to acquire CyberArk for about $25 billion

Armis itself was acquired in 2020 by Insight Partners in a deal valued at $1.1 billion, alongside investors including CapitalG. Private equity firm Thoma Bravo had also explored a potential investment, with Armis executives previously saying they were evaluating multiple offers.

What’s next

Once completed, the acquisition is expected to significantly strengthen ServiceNow’s security portfolio, positioning the company as a key player in AI-powered enterprise cybersecurity at a time when digital infrastructure risks are multiplying.

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Why Disney’s OpenAI Alliance Is a Blueprint for the Future of AI Content Deals

Disney’s $1 billion investment in OpenAI reframes AI not as a threat to IP, but as the next evolution of merchandising, engagement, and brand control

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Why Disney’s OpenAI Alliance Is a Blueprint for the Future of AI Content Deals
Disney’s partnership with OpenAI signals how major studios may integrate AI into content, merchandising, and fan engagement

When Disney announced a three-year alliance with OpenAI, including a reported $1 billion investment and licensing its iconic characters for use in AI-generated images and short videos, the deal left many observers puzzled. After all, recent content partnerships between OpenAI and platforms like Reddit have raised uncomfortable questions about whether the money is worth the long-term competitive and brand risks.

But Disney’s deal makes far more sense when viewed through a lens the company understands better than almost anyone: merchandising.

Why Disney’s OpenAI Alliance Is a Blueprint for the Future of AI Content Deals


For decades, Disney has mastered the art of turning intellectual property into obsession, engagement, and spending. Toys, backpacks, lunchboxes, theme parks, movies, cruise lines — all are part of a tightly controlled ecosystem designed to keep fans immersed. With OpenAI, Disney isn’t abandoning that playbook. It’s updating it.

Instead of plastic figurines, the new merchandise is synthetic content — AI-generated images and videos created by fans themselves using ChatGPT and Sora, OpenAI’s text-to-video generator. Anyone can now generate Disney-adjacent creative output, but under rules that Disney helps define.

AI as the Next Merchandising Channel

At first glance, allowing fans to generate content featuring Disney characters may appear risky, especially for a company long known as a highly curated, “predator-free” brand sanctuary in an internet dominated by chaotic user-generated content — or what critics increasingly call “AI slop.”

Yet this is precisely why Disney’s approach stands out.

Rather than fighting AI outright, Disney is licensing its characters under controlled conditions, positioning itself inside the technology rather than outside it. In doing so, it gains something arguably more valuable than licensing fees: influence over how its IP is used.

OpenAI has publicly committed to “responsible use” of Disney’s content, reducing the risk of beloved characters being placed in offensive, bizarre, or legally risky scenarios — or interacting with rival corporate IPs in ways Disney cannot control.

At the same time, Disney has made it clear it will aggressively defend its characters elsewhere. The company recently sent a letter to Google demanding it stop using Disney characters in AI-generated content without permission. The message is clear: AI use is allowed — but only on Disney’s terms.

Strategic Upside Beyond Licensing

Beyond brand protection, the OpenAI alliance offers Disney several strategic advantages.

First, by taking an equity stake, Disney is effectively hitching its future to the first major AI mover in consumer-facing generative technology. If OpenAI becomes as foundational as search or social media, Disney isn’t just a customer — it’s a stakeholder.

Second, Disney gains access to OpenAI’s tools, opening new creative and operational possibilities across film, television, marketing, and theme park experiences. In an industry under constant pressure to produce more content faster, AI-assisted workflows could become a competitive necessity.

There is also a discovery angle. If fans create something genuinely magical using Disney IP, the company can surface that work on its streaming platforms or internal creative pipelines. Just as YouTube became a feeder system for Hollywood talent, AI could quietly become a testing ground for future Pixar, Marvel, or animation concepts.

Engagement Over Everything

Critics will argue that Disney is aligning itself with what many still see as the entertainment industry’s newest villain. And history suggests that user-generated ecosystems inevitably produce strange, uncomfortable, or downright bizarre content.

But Disney’s calculus is simple: engagement beats purity.

Why Disney’s OpenAI Alliance Is a Blueprint for the Future of AI Content Deals


Even if some brand dilution occurs, the upside of keeping millions of users actively interacting with Disney characters — thinking about them, remixing them, and emotionally investing in them — far outweighs the risks. Every AI-generated image or short video becomes another touchpoint in the Disney funnel, nudging users toward movies, merchandise, theme parks, and subscriptions.

As the company has proven time and again, Disney doesn’t need to control every moment — it just needs to own the ecosystem those moments live in.

A Template for Future AI Deals

Ultimately, Disney’s OpenAI alliance may become the template for how major IP holders navigate the AI era. Rather than blocking generative tools outright or selling content libraries cheaply, Disney is treating AI as the next distribution and merchandising layer.

The pipeline that once ran from movies to toys to theme parks now runs through algorithms, prompts, and synthetic media. AI is no longer outside the business. It is part of the machine.

And if Disney’s history is any guide, once the House of Mouse embraces a platform, it rarely lets go.

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After Losing Over $70 Billion, Mark Zuckerberg Finally Admits His Biggest Bet Is “Not Working” – Meta Plans Massive Cuts to Metaverse Budget

Meta’s multibillion-dollar Metaverse dream faces a harsh reset as Zuckerberg prepares to slash Reality Labs spending by 30% and shift focus toward AI superintelligence

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After years of mounting losses, Meta prepares to slash Metaverse spending as Zuckerberg pivots the company toward AI superintelligence.
After years of mounting losses, Meta prepares to slash Metaverse spending as Zuckerberg pivots the company toward AI superintelligence.

It has taken more than $70 billion in losses, multiple years of market skepticism, slow hardware adoption, and declining enthusiasm from consumers — but Mark Zuckerberg finally seems to be acknowledging what analysts have been predicting for months: Meta’s Metaverse gamble is not working as expected.

A new report from Bloomberg reveals that Meta is preparing to cut Reality Labs’ budget by nearly 30%, marking the most significant shift in strategy since the company rebranded from Facebook to Meta in 2021. These cuts are part of Meta’s 2026 annual budget plans, discussed at a series of executive meetings held last month at Zuckerberg’s Hawaii compound.

The move represents a dramatic retreat from the vision that defined Zuckerberg’s ambitions for the future — a world of interconnected virtual experiences accessed through VR headsets, smart glasses, and immersive environments.

After years of mounting losses, Meta prepares to slash Metaverse spending as Zuckerberg pivots the company toward AI superintelligence.

Reality Labs: A Costly Dream That Failed to Take Off

Reality Labs, the division responsible for Meta’s Metaverse ambitions, includes:

  • VR hardware such as the Quest headsets
  • Ray-Ban smart glasses developed with EssilorLuxottica
  • Horizon Worlds, Meta’s VR social platform
  • Upcoming AR glasses

Despite years of R&D and aggressive marketing, the Metaverse never reached mainstream adoption. Sales remained modest, interest faded, and Horizon Worlds failed to retain users beyond niche gaming communities.

Industry analysts say the lack of traction is undeniable. The Metaverse that Zuckerberg promised — a bustling, interconnected digital universe — simply hasn’t materialized.

The financial impact has been staggering:
$70+ billion in operating losses across four years, making it one of the most expensive product bets in tech history.

Not surprisingly, Meta’s stock jumped 4% after news of the possible budget cuts, signaling investor relief. As analyst Craig Huber put it:
“Smart move, just late… This is a major shift to align costs with a revenue outlook that never matched management’s expectations.”

With cuts as deep as 30%, layoffs are expected as soon as January, especially within the VR division.


A Company Pivoting Hard Toward AI Superintelligence

Meta’s Metaverse retreat isn’t happening in isolation — it comes at a time when the company is fighting to stay competitive in the global AI arms race.

After its Llama 4 model received a lukewarm response, Meta has ramped up spending and reorganized its AI divisions under the new Superintelligence Labs.

Key highlights of Meta’s AI pivot:

  • Up to $72 billion committed in capital spending for AI initiatives this year
  • Aggressive hiring across Silicon Valley, with multimillion-dollar offers made directly by Zuckerberg
  • Plans to invest $600 billion in U.S. infrastructure and jobs over the next three years, largely for AI data centers
  • A renewed push to build the compute infrastructure needed for future superintelligent systems

Zuckerberg openly stated during an earnings call that Meta is “front-loading capacity” to prepare for an AI-driven future.

Even Reality Labs is being reimagined through the AI lens — especially after Zuckerberg hired Alan Dye, a longtime Apple design executive, to lead a new creative studio within the division.

In a post on Threads, Zuckerberg said:
“We’re entering a new era where AI glasses and other devices will change how we connect with technology and each other.”

This statement alone signals how deeply AI will shape Meta’s hardware roadmap beyond the Metaverse.


The Irony: Meta Was Renamed for a Vision That Is Now Shrinking

When Facebook became Meta in October 2021, the reasoning was clear: the company wanted to symbolize its commitment to building the Metaverse.

Three years later, that same division is facing massive cuts.

After years of mounting losses, Meta prepares to slash Metaverse spending as Zuckerberg pivots the company toward AI superintelligence.


The rebranding — once touted as the gateway to the “next chapter of the internet” — now represents one of the most expensive strategic misfires in tech history.


What Comes Next for Meta?

If the proposed budget cuts go through:

  • VR development may significantly slow down
  • Horizon Worlds could receive limited investment
  • AR glasses may remain in early stages
  • Meta will prioritize AI innovation over virtual reality

This shift doesn’t necessarily mean Meta is abandoning the Metaverse entirely — but it is no longer the company’s primary bet.

Zuckerberg’s new focus is clear:
AI superintelligence, compute hardware, and next-generation devices powered by AI.

And while the Metaverse may have faded from the spotlight, Meta’s aggressive push into AI signals a new chapter — one where Zuckerberg hopes the investment will pay off sooner rather than later.

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