Qbix

Empowering People. Uniting Communities. Expanding Local Businesses. Millions of people around the world use our apps.

[Qbix @QbixPlatform]

Why do we trust giant, centralized platforms with our everyday personal conversations, data and identity? Because until recently, there hasn't been really good open-source software to power social communities, like Wordpress does for blogs. Now there is:

https://t.co/0XFDOaTjHU

[Elias Al @iam_elias1]

There are now more bots than humans on the internet.

For the first time in history.

Cloudflare just confirmed it.

Bots and AI agents now generate more web traffic than humans for the first time in internet history. Cloudflare CEO Matthew Prince described it as a major turning point. Automated bot requests account for roughly 57% of traffic to ordinary webpages worldwide, compared with about 43% generated by humans.

And the CEO who announced it did not do so with a polished press release or a prepared statement.

He posted four words on X on June 3, 2026: "Welp, that happened faster."

Here is the full context behind those four words.

Matthew Prince had previously forecast the bot-human crossover would occur by the end of 2027. He revised that to early 2027. Then agentic AI traffic grew so fast that the milestone arrived 18 months ahead of schedule in June 2026 catching even the CEO of the company tracking it by surprise.

Here is what drove this faster than anyone predicted.

The main driver is agentic AI, autonomous programs that browse the web on behalf of assistants like ChatGPT and Gemini. Before the generative AI era, bot traffic sat at around 20% of all web activity, with Google's web crawler serving as the largest single source. It is now 57.5%.

20% to 57.5%. In under three years.

Here is the number that makes this even more alarming.

Cloudflare's 2026 Threat Intelligence Report found that bots now account for 94% of all login attempts across its network, meaning only 6% of login attempts come from actual humans trying to sign in.

94% of every login attempt on the web. Bots.

6% of every login attempt. Real people.

The infrastructure that was built to verify human identity is now processing mostly machine traffic.

Here is the nuance worth understanding before the panic sets in.

While bots now dominate HTML request traffic reading pages, scraping content, indexing sites humans still account for roughly 65% of total web activity when the metric expands to include app usage, video streaming, maps, and social media scrolling. Bots have overtaken humans in the specific act of navigating and reading the web, but not in the broader measure of people actually using the internet.

And here is the question nobody has answered yet but everyone is now asking.

Prince previously asked what pays for the web when more of its users are bots. Now that bots have crossed the majority line, that question is no longer theoretical.

The entire economic model of the internet was built on human attention. Human clicks. Human eyeballs reading ads, buying products, subscribing to services, and generating revenue for every website, publisher, and platform online.

The advertising model depends on humans seeing ads. E-commerce depends on humans making purchases. Subscription models depend on humans finding value. Analytics depend on humans generating meaningful engagement signals.

The shift matters to anyone who publishes online, pays for hosting, or relies on an AI assistant that quietly fetches pages on their behalf, the economic assumptions the web was built on, advertising, referral clicks, and human attention, are being rewritten in real time.

Sites can keep giving machines free access. Block them and lose referral traffic. Or charge them and the infrastructure to charge them now exists.

None of those options are simple. None of them have been chosen at scale. And the bots keep coming regardless.

Bot traffic has held between 53% and 60% in the weeks since the crossover. Prince said the actual crossover occurred in the last few months, though the data is messy enough that pinning down an exact date is difficult. We are clearly on the other side now, he added.

Elon Musk replied to Prince's post with one word.

"Wow."

The internet was built for humans.

For the first time in its history most of it is not being used by them.

Source: Cloudflare · Matthew Prince · Search Engine Land · Tom's Hardware · TechTimes · June 3–5, 2026

[Ihtesham Ali @ihtesham2005]

A guy named nbatman on Reddit accidentally built the most useful website on the internet.

It's called FMHY (Free Media Heck Yeah).

This is the website Google delisted from search for DMCA violations, Reddit shadow-banned for promoting piracy, the Motion Picture Association flagged as a top piracy threat, and the RIAA pressured hosting providers to drop. It is still online. It is still updated every month.

Here's how it works.

FMHY is the index. The wiki itself hosts nothing. It just tells you where every free thing on the internet actually lives, organized into 14 categories with safety ratings on every single link.

→ Movies and shows in 4K from 50+ streaming sites
→ Music at Spotify and Apple Music quality
→ Adobe Creative Cloud, Microsoft Office, AutoCAD, JetBrains
→ Every paid course on every major learning platform
→ 100 million books and papers through Anna's Archive
→ Free alternatives to every paid AI tool
→ A SafeGuard browser extension that flags unsafe sites in real time

It started as a single Google Doc maintained by one Reddit moderator in 2018. Google killed it with a DMCA takedown in 2023.

The community rebuilt the wiki on its own domain, mirrored it to GitHub and IPFS, and now runs it across 12 backup domains simultaneously.

There is no company. No CEO. No central server. Six anonymous volunteers maintain the entire thing in their spare time. Donations through Ko-fi pay for the hosting. Nobody profits.

Hollywood can't shut this down. Spotify can't shut this down. Adobe can't shut this down.

The entire subscription economy is held together by you not knowing this wiki exists.

https://t.co/AAr2rLlqgy

[Shaun Maguire @shaunmmaguire]

We misunderstood the TikTok threat model

The algorithm is *not* manipulated

TikTok itself is banned in China

They use a different app (Douyin)

Douyin’s algorithm is: maximize harmony

TikTok’s algorithm is: maximize division

It’s not manipulated on specific topics (it was occasionally in the past)

Why do we allow an app that’s banned in China?

I’m open to Douyin in America but TikTok must be banned

This is reverse Opium Wars; or digital covid

[Ben Sigman @bensig]

I've run servers for 20 years.
Never seen anything like this.
rpow2 went viral. 36K+ verified email signups... then the AI-powered bots came.

200K+ unique IPs.
60K req/sec.
GPU farms from China.
Sybil farms registering thousands of fake accounts.

Botnets spoofing Chrome across 2,100+ IPs.

Bots adapting in real-time - block one vector, they switch within minutes.

Chaos:
49-second response times.
86% of emails failing.

@dotkrueger tagged me for help.

...then 18 hours later...

Order restored:
16 anti-bot measures across 4 layers.
Response times down to 20ms.
Backend traffic cut 97%.
Real users mine normally, bots get 403'd.

This is modern warfare.

[Garry Kasparov @Kasparov63]

MAGA & conspiracy crap. The monster is a reflection of its creator, or, in this case, its buyer and owner. I hope no one was so foolish as to think Musk bought Twitter for any reason other than to make it over in his image and pursue his political and commercial goals.

[Qbix @QbixPlatform]

How one intelligently designed system can help an ecosystem stay healthy…

https://t.co/ObERAffoLo

[Interesting Engineering @IntEngineering]

The water in both tanks is from the same time and place. The tank on the right has oysters.

[Qbix @QbixPlatform]

Happy April 1st.
This is not a joke!
(Well, it is, but the underlying events all really happened)

https://t.co/32QAFfdbUW

[Cheng Lou @_chenglou]

My dear front-end developers (and anyone who’s interested in the future of interfaces):

I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept):
Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow

[Qbix @QbixPlatform]

What is the alternative?

https://t.co/7QgFFhcXVc

[Qbix @QbixPlatform]

Shocker

https://t.co/slai2g3VWG

[Qbix @QbixPlatform]

Here we go again

[Jeff Garzik @jgarzik]

An American version of the Aadhaar hack in India.

KYC and digital id collection create honeypots for bad actors.

[SciTech Era @SciTechera]

🚨 BREAKING: Intel unveils “Heracles” chip that makes encrypted computing thousands of times faster.

Heracles is a new processor designed to dramatically accelerate Fully Homomorphic Encryption (FHE), a technology that allows computers to perform calculations directly on encrypted data.

It's presented at the IEEE International Solid-State Circuits Conference, the chip can verify encrypted queries in about 14 microseconds, compared with roughly 15 milliseconds on a standard Intel Xeon server CPU.

That’s a speed improvement of up to 5,000×.

Heracles includes 64 compute cores and high-bandwidth memory, specifically optimized for encrypted workloads used in cloud computing and AI.

Why this matters?
Fully Homomorphic Encryption has long been considered one of the “holy grails” of cybersecurity.

Normally, data must be decrypted before it can be processed, which creates a moment where sensitive information can potentially be exposed.

FHE changes that 👀!

With FHE, data can remain encrypted the entire time while still being analyzed or processed.

If hardware like Heracles makes this practical at scale, it could enable:

> Cloud services that analyze data without ever seeing it
> AI models trained on encrypted medical or financial data
> Secure collaboration between organizations without sharing raw data

In simple terms, Computers could use your data without ever actually seeing it.

[Car @CarOnPolymarket]

How can a random Polymarket account correctly predict:

- US striking Venezuela
- US kidnapping Maduro
- US forces in Venezuela
- US striking Iran
- Israel striking Iran
- US striking Iraq
- Israel striking Khamenei
- US anti cartel operations

And his next bet is public for everyone: US forces entering Iran in the near future.

Insane!

[HustleBitch @HustleBitch_]

🚨 WHAT THE HELL ARE THEY PUSHING THROUGH WHILE EVERYONE WATCHES THE WAR?

This woman just dropped a theory that’s sending people down a rabbit hole.

She claims that while the world is glued to the war, something enormous is quietly moving in the background:

The largest media merger in American history.

And when it closes… one family will control:

CNN.
CBS.
HBO.
Warner Bros.
Paramount.

According to her breakdown, the entire system behind it could run on Oracle infrastructure.

The same Oracle that just landed federal contracts tied to Medicare and Medicaid data for 150+ million Americans… and AI operations for the U.S. Air Force.

Then she connects the dots in the video:

Government contracts send billions into Oracle.
That revenue supports Oracle’s stock.
That stock is reportedly being used as collateral tied to the merger.
And Oracle ends up as the infrastructure underneath the new media empire.

Infrastructure.
Collateral.
Beneficiary.

Every layer of the same machine.

Then she points out the timing.
The war timeline that just got mentioned by Trump
About four weeks.

The shareholder vote on this merger?
March 20.
Coincidence?

Her argument:

While everyone is staring at missiles and war coverage... something massive could be sliding through the system behind the curtain.

Is the war the only story right now… or is something huge being pushed through while nobody’s looking?

[Qbix @QbixPlatform]

Totally not surprised somehow

[Shanaka Anslem Perera ⚡ @shanaka86]

JUST IN: Meta sold 7 million Ray-Ban smart glasses in 2025 alone.

Workers in Kenya are watching the footage.

Not metadata. Not anonymized clips. The actual videos. People undressing. People in bathrooms. People having sex. Bank cards. Medical documents.

The blurring is supposed to protect privacy. It fails constantly. The contractors see everything.

Here is the part that should stop you cold: You did not buy the glasses. You did not agree to the terms of service. You did not consent to anything. But if someone wearing Meta glasses walks into your bedroom, your bathroom, your doctor's office, your home, a contractor on the other side of the world may be watching you right now.

The person wearing the glasses consented. Everyone else in the room did not.

Meta's defense is that this is all disclosed in the privacy policy. They are technically correct. Buried in language so dense that 99% of users never read it. And even if they did, it would not matter, because the terms govern the wearer's data. Not yours. You are not a party to the contract. You are the product being annotated.

Millions of AI-enabled cameras walking around in public. Recording constantly. Uploading to servers. Reviewed by humans earning a few dollars an hour to label your most intimate moments so the algorithm gets smarter.

This is not a bug. This is the business model.

The EU is already asking questions. MEPs submitted formal inquiries to the Commission this week demanding answers on GDPR compliance. The problem is obvious: European data protection law requires consent from data subjects. Bystanders are data subjects. Bystanders never consented. The entire architecture violates the regulation by design.

Meta's response has been silence and a reference to terms of service that do not apply to the people actually being filmed.

Google Glass died because people called the wearers "Glassholes" and banned them from bars. Meta solved the social problem by making the glasses look normal. They did not solve the privacy problem. They hid it.

Seven million units sold in 2025. The installed base is accelerating. Every unit is a potential surveillance node operated by someone who may not understand what they are feeding into the system and reviewed by contractors who see everything the algorithm cannot process.

The question is not whether this becomes a scandal. The question is whether the scandal arrives before or after the glasses are on 50 million faces.

Watch the EU. If Brussels moves on GDPR enforcement, Meta faces a choice: disable human review in Europe and cripple the AI training pipeline, or accept fines that could reach billions. Neither outcome is priced into the stock.

The glasses are selling faster than ever.

The contractors keep watching.

And somewhere right now, someone you have never met is looking at footage of you that you never knew existed.

[AnthroVet50 @spooked75]

Nature just published peer-reviewed evidence that X's algorithm shifts users toward conservative political opinions. Not engagement—actual beliefs.

But we've had the receipts since 2023.

When Twitter open-sourced its algorithm, researchers found author_is_elon as a literal boost factor, users labeled "Republican" or "Democrat," and hand-coded heuristics amplifying specific accounts. Musk called it "weird" his name was in the code.

The Nature study ran a 7-week randomized experiment—independent, no X cooperation. Result: algorithmic feed users became more conservative on policy issues. This was before Musk endorsed Trump.

Now in January 2026, xAI releases their new "clean" Rust-based algorithm. The pitch: "We eliminated every single hand-engineered feature."

Except the new system uses a Grok transformer trained on engagement data. What shaped that engagement? Years of the biased algorithm.

They didn't remove the bias. They laundered it through ML.

Old system: "Boost Republicans" (findable in code)
New system: "Predict engagement" (trained on biased data)

Same output. Plausible deniability.

The algorithm isn't neutral. It never was. And the new version is designed so you can't prove it anymore.

https://t.co/UjMnnxImRs

[Qbix @QbixPlatform]

It’s not just botted
It’s also boosted by the platform, like fake volume on exchanges

[Gator⚡Gum @gator_gum]

If you don't think Twitter is being manipulated and leveraged for RW Propaganda, consider this tweet.

Within 1 minute of posting, it was viewed 11 times, and retweeted 531 times.

The new algorithm is tweaked to further push out tweets that get quick engagement as it's a sign of "good content"

Total manipulation and propaganda. Clear evidence.

[rat king 🐀 @MikeIsaac]

amazon's internal A.I. coding assistant decided the engineers' existing code was inadequate so the bot deleted it to start from scratch

that resulted in taking down a part of AWS for 13 hours and was not the first time it had happened

incredible

https://t.co/K5dW15ioVH

[sui ☄️ @birdabo]

discord’s age verification vendor Persona just got hacked.

openAI + US government + persona have been running identity surveillance since nov 2023

anyone who verified age on discord is now traceable.

nothing is private anymore.

https://t.co/OHTR7QuYqa