Technology

On TikTok, YouTube, X, and everywhere, ‘views’ are lies

Published

12 months ago

April 5, 2025

On TikTok, YouTube, X, and everywhere, ‘views’ are lies

Views are the most visible metric on the internet. You can see, in more or less real time, how many views something got on YouTube, Instagram, TikTok, Facebook, and most other video platforms. X tracks views for every single thing you post, as does Threads. A view is the universal currency of success — more views, more fun.

But it’s all nonsense. Views are nothing. Views are lies.

You may not need me to remind you of this. We’ve known for years that view counts are meaningless, to the point that Facebook wound up getting sued for aggressively inflating view counts in an effort to convince people to make Facebook videos. Others have written thoughtfully about how stupid view counts are. But we still talk about view counts, view counts are still everywhere, so let’s talk once again about view counts.

A “view,” in reality, is not a universal metric. It’s not really anything. It is whatever a platform wants it to be, which usually has no actual correlation to whether someone actually encountered and experienced a piece of content. You can just make the views whatever you want! And if you don’t like the way the numbers look, make views something else!

Let’s just run through a few of these, shall we? The simplest ones to understand are the social platforms: Instagram, TikTok, and (as of last week) YouTube Shorts all count a view the second a video starts playing. This is objectively absurd. Every time you scroll, even if you immediately jump to the next video, the platform logs that you watched the video the same as if you’d seen the whole thing. That’s like saying, if you’re in a Best Buy and you walk past a TV playing Pirates of the Caribbean: At World’s End, you’ve now technically seen Pirates of the Caribbean: At World’s End. Congratulations, you’re a pirate.

There are a lot of ways to game the social media ecosystem. One of them is to keep redefining your terms.

In a way, though, that ridiculously easy bar to clear is actually a more accurate measure than some others. On Facebook, for instance, a view is defined as “the number of times a reel or video was played, plus the number of times photos or text were on screen.” Since videos autoplay all over the platform, those two metrics are effectively the same thing. The metric is so unhelpful that Facebook actually offers creators two other numbers: three-second video views, also known as “people who pressed play,” and one-minute video views, which is at least slightly closer to “people who actually watched this thing.” Those numbers aren’t public, though, because they’d be much lower.

The view has been the universal Meta metric since last fall, when Facebook combined all its other performance and engagement metrics into just one. For photos, text posts, and Stories, the company wrote in a blog post, “Views are calculated as the number of times they appear on a person’s screen, including repeat views.” That used to be a different metric — your content being presented to someone was known as an “impression,” but they had to interact with it in some way before it became a view. Now it’s just views.

The idea that everything in your feed counts as a view is pernicious, and it’s everywhere

The idea that everything in your feed counts as a view is pernicious, and it’s everywhere. As you scroll on X, every single post on your feed gets a view as it flows up and off your screen. Posts that appear in search results, on someone’s profile page — anything that shows up on the page appears to be considered “viewed.” X’s documentation on post views is sketchy and vague, but its video rules are pretty straightforward: if the video was playing for at least two seconds, and half of the player was in view on your screen, then that counts as a view. All these videos play automatically, so we’re back to the same thing: if it loaded, you viewed it.

The reason so many companies have embraced such stupid metrics is both simple and self-reinforcing. If you’re the platform that counts views in a way that actually reflects reality, your numbers will be lower. Creators might see that, decide your platform doesn’t have the juice, and start posting somewhere they’ll ostensibly get more eyeballs. Advertisers might worry that they’ll be broadcasting to dead air. On the social web, momentum is everything, and sometimes you have to lie about the size of your party to get the first people in the door.

A screenshot of a tweet with 1.5 billion views.

If you believe the metrics, this tweet was a global phenomenon. You heard about it on the news, I bet.

In this way of defining views, the platforms also have all the control. Think about it: you don’t press play to get the video going, and you don’t have to stick around for it to count. Whatever the platform wants to get views, gets views. There is no step two, no intermediary, no actual matching of content and audience. There are just… views.

Even the Hollywood types are being pulled into the vortex of made-up view counts. Netflix once clocked a view only after you’d completed 70 percent of something — which, I should point out, is the closest thing to actually tracking whether you’ve watched something of any metric we’ve discussed so far. Now, it only takes two minutes for Netflix to decide you’ve watched something. Netflix actually picked two minutes because it’s “long enough to indicate the choice was intentional.” First of all, no it’s not. Second, Netflix knows how much you actually watched! It just wants the numbers to be higher — around 35 percent higher than under the previous metric, Netflix admitted.

Ironically, Netflix is one of the few streamers that explains how it calculates views at all; most keep their metrics quiet, so they can say things like “it was a huge hit!” without having to provide any actual information. Even YouTube is cagey about its calculations: it’s generally accepted wisdom that you have to watch 30 seconds of a standard YouTube video for it to count as a view, but if that’s official policy I sure can’t find it anywhere.

It is incredibly obvious, by the way, that all the companies peddling these fake numbers know what they’re doing. If they thought public-facing view counts were legit, they’d offer those same numbers to creators and advertisers. Creators typically get to see non-public data like watch time and actual interactions, but even they are consistently being given less and less to work with. Advertisers, though, have the run of the place: YouTube and other platforms still track impressions separately from views, but only for ads. (YouTube may count every Shorts scroll as a view publicly, but it only pays creators for what it calls “Engaged views.”) Many platforms even tell advertisers how many people watched a quarter, half, three-quarters, or all of a video. The platforms themselves are collecting all this data and more, of course, in an effort to better tune the algorithm. They know the answers! But they’ll never show them to you.

We’ve been doing this whole internet thing for a while now, and it’s pretty clear that just about all the metrics are bad. They’ve turned the internet into a game to be won, a system to be gamed, a race to the biggest numbers even when the numbers don’t mean anything. Maybe we’d all be better off without the numbers, but they’re not going anywhere. So all we can do is remember: “views” are not views. Views are lies.

Technology

AI influencer awards season is upon us

Published

6 hours ago

March 23, 2026

Press Room

First came the AI beauty pageant. Then the AI music contests. Now, there is an award for AI Personality of the Year — perhaps the inevitable next step for the AI influencer economy as it transforms from quirky novelty into a serious and lucrative industry.

The contest, a joint venture between generative AI studio OpenArt and AI-powered creator platform Fanvue, with backing from AI voice company ElevenLabs, opens on Monday and runs for a month. The organizers said it is intended to “celebrate the creative talent ‘behind’ AI Influencers” and recognize their growing commercial and cultural clout.

Contestants will compete for a total prize fund of $20,000, which will be split between an overall winner and individual categories of fitness, lifestyle, comedian, music and dance entertainer, and fictional cartoon, anime, or fantasy personality. Victors will be celebrated at an event in May that the organizers are dubbing the “‘Oscars’ for AI personalities.”

To enter, you must develop your AI influencer on OpenArt’s platform and submit it at www.AIpersonality.ai. You’ll be asked for social media handles across TikTok, X, YouTube, and Instagram, as well as the story behind the character, your motivations for creating it, and details of any brand work.

Among those assessing contestants are 13‑time Emmy‑winning comedy writer Gil Rief, the creators of Spanish AI model Aitana Lopez, and Christopher “Topher” Townsend, the MAGA rapper behind AI-generated gospel singer Solomon Ray. According to a copy of the judges’ briefing seen by The Verge, contestants will be scored on four criteria: quality, social clout, brand appeal, and the inspiration behind the avatar. Specific points include reliably engaging with followers, portraying a consistent look across social channels, accurate details like having the “right number of fingers and thumbs,” and having “an authentic narrative” behind the avatar.

The contest is open to established creators and novices alike, though existing AI influencers will still need to submit material produced on OpenArt’s platform, Matt Jones, head of brand at Fanvue, told The Verge.

Despite being designed to celebrate creators of virtual influencers, Jones said that entrants don’t need to publicly identify themselves. “If a person who created this amazing piece of work wants nothing to do with the press or to expose themselves or to have their name out there, that’s obviously fine,” he said. “There would be no need to thrust anybody into the limelight here. We would just celebrate the piece of work.”

That creators can remain anonymous feels odd for a contest judging authenticity, particularly in an AI influencer ecosystem built on fictional people, fake personas, and fabricated backstories. That same anonymity has also helped grifts flourish with little accountability, from the AI white nationalist rapper Danny Bones to MAGA fantasy girl Jessica Foster.

There’s familiar baggage too, including persistent questions about originality, whether AI-generated work, or even a likeness, has been lifted from real creators, and whether these tools simply reproduce the same old biases in synthetic form. Organizer Fanvue has already faced criticism for this in the past: in 2024, a Guardian columnist described its “Miss AI” beauty pageant as something that “take(s) every toxic gendered beauty norm and bundle(s) them up into a completely unrealistic package.”

To Fanvue’s Jones, creators inevitably leave something of themselves in the AI characters they make. “You can’t help but put a little bit of yourself into the stories that you tell and the characters that you make,” he said, urging creators to “lean into that.” The idea feels at home in the influencer economy: not strictly real, but a form of synthetic authenticity the internet already knows how to handle.

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Robert Hart

Technology

Amazon Health AI brings a doctor to your pocket

Published

7 hours ago

March 23, 2026

Press Room

Amazon Health AI brings a doctor to your pocket

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Most people have had this moment. You feel a strange symptom, open your phone and start searching online. Within minutes, you are deep in medical forums reading worst-case scenarios. By the end, you are either terrified or more confused than when you started.

Health care should feel clearer than that. Yet for many of us, it rarely does. Appointments take weeks. Medical records are hard to understand. You often have to repeat the same health history at every visit. Insurance rules feel like a maze.

According to the American Academy of Physician Associates, many Americans say navigating the healthcare system feels overwhelming and they wish doctors had more time to listen. Now, a new tool from Amazon hopes to change that experience. It is called Amazon Health AI.

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Amazon Health AI lets you ask health questions, review records and connect with care directly through the Amazon app. (Kurt “CyberGuy” Knutsson)

What Amazon Health AI actually does

Amazon Health AI, available at amazon.com/health-ai, acts as a digital health assistant that can answer medical questions and help guide you through your care. The tool lives inside the Amazon app and website.

You start by typing a health question into a chat box. From there, the system can:

Explain lab results in plain language
Review symptoms and suggest next steps
Help schedule care with a provider
Assist with prescription renewals
Recommend relevant health products if asked

Health AI connects directly with clinicians from Amazon One Medical when professional care is needed. You can message a provider, start a video visit or schedule an in-person appointment. The goal is to make getting care simpler. Instead of spending time searching for appointments or jumping between different apps, you can move from a question to a provider more quickly. If symptoms suggest a possible emergency, the system may advise you to contact emergency services, such as calling 911.

Amazon is gradually rolling the Health AI tool out to U.S. customers, and availability varies by location.

CyberGuy reached out to Amazon for comment about the new service. Andrew Diamond, Ph.D., M.D., chief medical officer at Amazon One Medical, said the goal is to reduce some of the everyday frustrations people face when navigating healthcare.

“Nearly two-thirds of Americans feel overwhelmed by the healthcare system and wish their doctors had more time to understand their concerns,” Diamond said. “Health AI is designed to handle the logistical and informational work that creates friction in healthcare, so patients and providers can spend more time on what matters most: the human relationship at the heart of healing.”

How Amazon Health AI uses your medical history

Health AI becomes more useful when it understands your medical history.

With permission, the system can access information such as:

Past diagnoses
Medications
Lab results
Doctor’s notes

This data flows through a secure national network called the Health Information Exchange. Health AI can access records from hundreds of thousands of providers nationwide once permission is granted.

For example, imagine someone with asthma develops a cough during flu season. A generic search might treat that symptom like any other cough. Health AI can look at your history and ask follow-up questions based on your specific risk factors.

Health AI can provide general information about someone else’s health question, but personalized answers are limited to the medical history of the account holder.

That context helps the system provide more relevant guidance. Still, the assistant does not replace doctors. When the situation requires medical judgment, it connects you with a real clinician.

CHATGPT COULD MISS YOUR SERIOUS MEDICAL EMERGENCY, NEW STUDY SUGGESTS

Health AI can help explain lab results, check symptoms and connect you with care through your phone. (Amazon)

How Amazon connects AI with real medical care

The service works closely with Amazon One Medical providers. Prescription renewals can also move through the system, with requests sent to a One Medical provider who reviews the request before approval. You can fill prescriptions through Amazon Pharmacy or another pharmacy you prefer. This approach helps reduce the steps people often face when trying to get care. Instead of spending time searching for appointments or jumping between different apps, you can move from a question to a provider more quickly.

Special access for Prime members

Amazon is also adding a limited introductory benefit. Eligible members of Amazon Prime can receive up to five free message-based consultations with a One Medical provider.

Neil Lindsay, senior vice president of Amazon Health Services, said the goal is to make care easier to access through the tools people already use. “Eligible Prime member accounts get up to five free direct message care consultations with a One Medical provider for any of the 30 common conditions,” Lindsay said.

These visits cover common conditions, including:

Colds and flu
Allergies and acid reflux
Pink eye and UTIs
Hair loss and skin care

Outside the promotion, message or telehealth visits typically cost about $29. A full One Medical membership provides broader virtual care and costs less for Prime members than for non-members.

How Amazon says it protects health data

Health information raises serious privacy questions. Amazon says Health AI runs inside a HIPAA-compliant environment with strong encryption and strict access controls. According to the company, personal health data is not used to sell ads. Amazon also says protected health information from One Medical and Amazon Pharmacy is not used for advertising or sold to third parties.

The system also includes safety guardrails. If the AI cannot confidently answer a question, it directs you to a human provider. Behind the scenes, the technology runs on Amazon’s AI platform called Amazon Bedrock.

Amazon also emphasized that Health AI was designed alongside medical professionals rather than built purely as a technology product.

“This isn’t a chatbot with a healthcare skin,” said Prakash Bulusu, chief technology officer at Amazon Health Services. “It’s a system designed from the ground up to be personalized, trustworthy and useful.”

Bulusu said he personally tested the system with his own health data, and it surfaced lab work he had forgotten to complete after a physical exam.

CHATGPT HEALTH PROMISES PRIVACY FOR HEALTH CONVERSATIONS

You can ask Health AI about symptoms and receive guidance before deciding whether to seek medical care. (Amazon)

Why Amazon believes AI belongs in healthcare

Millions of people already search Amazon for vitamins, blood pressure monitors and health products. The company believes AI can help guide those searches and connect them with medical advice. Amazon also partnered with major health systems, including the Cleveland Clinic and Rush University System for Health, to create smoother referrals between primary care and specialists. The idea is continuity. You should not feel like you are starting from scratch every time you see a new provider.

What this means for you

Tools like Health AI show how quickly artificial intelligence is moving into everyday health decisions. For patients, the potential benefits are clear. Faster answers. Simpler records. Easier access to doctors.

Yet it also raises big questions about privacy, data control and how much we rely on automated systems for health advice. AI can help people understand their health. But the human doctor still plays the absolute most important role. The challenge will be finding the right balance.

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Kurt’s key takeaways

Healthcare can be frustrating. Long waits, confusing records and disconnected systems often leave you feeling lost. Amazon believes AI can help guide you through that process. If the technology works as promised, it could help millions of us understand our health faster and reach care sooner. Still, any system that handles sensitive medical information must earn trust over time. That trust will depend on transparency, security and how responsibly companies use personal health data.

Would you feel comfortable letting an AI assistant review your medical history and guide your health decisions? Let us know by writing to us at Cyberguy.com.

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Kurt “CyberGuy” Knutsson is an award-winning tech journalist who has a deep love of technology, gear and gadgets that make life better with his contributions for Fox News & FOX Business beginning mornings on “FOX & Friends.” Got a tech question? Get Kurt’s free CyberGuy Newsletter, share your voice, a story idea or comment at CyberGuy.com.

Technology

Crimson Desert dev apologizes for use of AI art

Published

18 hours ago

March 22, 2026

Press Room

Crimson Desert dev apologizes for use of AI art

Reviews of Crimson Desert have been mixed, but the bigger issue for the game has been the discovery of what appeared to be AI-generated assets in the final release. Now the developer has acknowledged that AI art was indeed used during the game’s creation, but says that it was intended to be replaced before release. In a statement on X, the company said it was conducting a “comprehensive audit” to identify and replace any AI-generated content.

The company apologized for both its inclusion in the final release and for not being more transparent about its use during development. “We should have clearly disclosed our use of AI,” it said.

The use of generative AI in gaming has become a hot-button issue of the last couple of years as it’s made its way into several high-profile titles. While some large studios have embraced it, many smaller developers have revolted against the trend, proudly proclaiming their games to be “AI free.”