Qbix @QbixPlatform

THIS IS INSANE. 🤯 India gave GitHub THREE HOURS to delete BitChat. By the time the deadline hit, the app was already back. On a network with no company to send the order to. Here's what happened: • India orders GitHub to remove BitChat, citing "unlawful communication" • GitHub has 3 hours to comply or face legal action • Within hours, a developer mirrors the entire codebase on Radicle • Radicle has no central server. No company. No CEO to subpoena. No app store to pressure. • The instructions go out: clone it, seed it, keep it alive • Every person who seeds it becomes another copy the government can't touch The part nobody's saying out loud: this is the exact scenario BitChat was built for. It runs on pure Bluetooth. No internet. No SIM. No phone number. It was already unkillable at the app layer, that's why protesters in Nepal, Iran, and Madagascar used it to route around government shutdowns. Now the SOURCE CODE is unkillable too. India didn't delete BitChat. It just handed the entire internet a live demo of why decentralized infrastructure exists. You can order a company to take something down. You can't order a network that isn't owned by anyone. Command to mirror it yourself is already public. People are seeding it right now.

keyboard_arrow_left Previous keyboard_arrow_right Next

Crypto Jargon @Crypto_Jargon

5 days ago

🚨🇮🇳BREAKING: India just ordered GitHub to take down Jack Dorsey's BitChat within three-hours. The mechanism explains why. BitChat runs entirely over Bluetooth, no internet, no servers, no phone number needed. That's exactly why NEET protesters started using it after mobile

keyboard_arrow_left Previous keyboard_arrow_right Next

46 134 838 972K 296

🇪🇺 The EU just passed Chat Control 1.0 in Brussels. Platforms can now scan your private messages again, officially "voluntary," in practice blanket surveillance. Here's the democratic scandal: 314 MEPs voted against it. Only 276 voted for it. It passed anyway... because an absolute majority of all MEPs was required to reject it, not just a majority of those present. More people voted no than yes. It still passed. Pushed through on an urgent procedure just before summer recess, when absences are highest and attention is lowest. This is how rights disappear folks. Not in one dramatic moment, but in procedural fine print, on a slow news day, while everyone's looking at Tehran. Source: @Fidias0 / Writer: Oliver

keyboard_arrow_left Previous keyboard_arrow_right Next

A 19-year-old hacker used VPNs, tunneling tools, and rotated IPs across 3 countries. The FBI still caught him. Here's the Windows feature that made it possible and why it should concern everyone. Peter Stokes, an alleged member of Scattered Spider (the group behind $100M+ in ransomware extortion), was arrested at Helsinki Airport this April. Court documents revealed a key piece of evidence: Microsoft's GDID. What is a GDID? GDID = Global Device Identifier. It's a unique code baked into every Windows installation. Microsoft uses it for telemetry, crash reports, feature usage, and license verification (it's why swapping your CPU can break your Windows activation). What Microsoft gave the FBI: → Web activity with timestamps → Gaming history → IP addresses used over time → Tool usage (including Ngrok, a tunneling app) → Azure account activity All tied to one persistent device fingerprint. Even though the VPN masked his IP, it didn't affect the GDID. How they connected the dots: Every time Stokes logged in to Snapchat, Apple, or Facebook from a new IP address, the GDID was there too. Investigators matched timestamps across platforms and countries: Tallinn, New York, Thailand, Germany. Different IPs. Same machine. Same person. Microsoft had already identified him in October 2024 and filed a criminal referral. He was still 17. So they waited till He turned 18. Then they moved. Yes, Stokes is accused of serious crimes. But the GDID data exists on every Windows machine, including yours. The infrastructure that handed his entire digital life to the FBI is the same infrastructure running on your laptop right now. The unanswered questions: - There's no public policy on when Microsoft shares GDID data - No known opt-out mechanism - No transparency report specifically covering GDID disclosures - What other criminal referrals has Microsoft quietly filed?

Abdulkadir | Cybersecurity @cyber_razz

3 weeks ago

A 19 year old kid used a VPN and change his IP across 3 countries but the FBI was still able to catch him and that’s because windows was tracking a number he didn’t even know existed….

80 430 8K 2.5M 3K

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

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. fmhy.net

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

Drew Pavlou 🇦🇺🇺🇸🇺🇦🇹🇼 @DrewPavlou

2 months ago

One of the San Diego shooters. Get the kids off TikTok, for the love of God

352 1K 8K 640K 1K

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.

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.

Nate Silver @NateSilver538

4 months ago

These are the Twitter/X accounts with the most engagement so far in 2026. I suppose I had some intuition for how bad it was, but jeez, this is what you get when the ecosystem is broken.

7K 5K 30K 21.2M 8K

How one intelligently designed system can help an ecosystem stay healthy… laweekly.com/restoring-heal…

Interesting Engineering @IntEngineering

12 years ago

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

2 59 20 0 0

Happy April 1st. This is not a joke! (Well, it is, but the underlying events all really happened) qbix.com/blog/2026/04/0…

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

What is the alternative? latimes.com/california/sto…

Shocker bbc.com/news/articles/…

Here we go again

Jeff Garzik @jgarzik

4 months ago

An American version of the Aadhaar hack in India. KYC and digital id collection create honeypots for bad actors.

0 2 8 1K 0

🚨 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.

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!

PredictFolio @PredictFolio

5 months ago

BREAKING: A suspected military insider won $90K correctly predicting 9 separate military events! This guy is now betting big on US forces entering Iran! He will win nearly $100K if he is correct.

111 415 3K 3.4M 2K

🚨 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?

Totally not surprised somehow

Shanaka Anslem Perera ⚡ @shanaka86

5 months ago

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

904 14K 29K 3.8M 8K

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. nature.com/articles/s4158…