Zango, Haruna Tijjani

Then the world will be more chaotic, those with more resources can simply buy the opinions of others, and their views be the dominant ones. Just like fingers aren’t equal, people aren’t the same, not all have the knowledge, exposure, or critical thinking to make sound decisions

@Trevornoah Then the world will be more chaotic, those with more resources can simply buy the opinions of others, and their views be the dominant ones. Just like fingers aren’t equal, people aren’t the same, not all have the knowledge, exposure, or critical thinking to make sound decisions

In my world, the rules are made by the people, for the people.

@OluGbatemi @General_Somto And you think they don’t know? They have more information about the continent than the continent it self

@General_Somto He’s talking too much. He shouldn’t be disclosing too much to the Europeans and Americans. If anything they’ll do everything to ensure Africa turns its back on China, and wait until the relationship is savaged, they’ll then go back to their old ways. #WiseUpAfricans#

Nigerian Billionaire Aliko Dangote Was Asked Who Is Helping Africa More Economically? China, The US, Or Europe. His Answer Was…

KIMI FOUNDER JUST DROPPED A 40-MINUTE MASTERCLASS. The exact architecture behind a $20B valuation — there's no faster way to learn how to build AI agents right now. Bookmark this for the weekend. 40 minutes. zero fluff. from the person who built it. Optimization → Linear Attention → Sub-Agents → Open Systems → Cash

I am the VP of Cloud Security Intelligence at Google. My analysts found something remarkable last month. I found something better: a headline. My team discovered an Android backdoor called PROMPTSPY. It uses our own Gemini API as an autonomous command-and-control brain. It serializes the victim's screen, feeds it to gemini-2.5-flash-lite, and does whatever the model tells it to do. The malware thinks with our product. It rotates its infrastructure through Firebase. My analysts stayed until two in the morning on the write-up. It is, by any measure, the most sophisticated integration of AI into offensive tooling anyone has documented. I put it in paragraph twelve. They also documented PRC and DPRK state actors using Gemini itself to research vulnerabilities and develop attack tooling. Session logs. Query data. Platform telemetry. The kind of evidence that makes attribution airtight. I put that in paragraph twenty-six. For the headline, I chose the docstrings. The exploit targeted Chromium. The vulnerability was real. My analysts did solid attribution work. But the code had descriptive variable names. Clean formatting. A CVSS score embedded in a comment that didn't match any published database. We call that a hallucinated CVSS score. That's my favorite detail. We are, after all, in the hallucination business. The formatting was Pythonic. The kind of structure you'd see in a training dataset. We call that "structure and content analysis." My analysts would call it something else if I let them write the methodology section. We have high confidence it was likely developed with AI. I want to be precise about that sentence because I approved it. "High confidence" is a technical term. "Likely" is a calibration. Together they mean we are very sure about our level of unsureness. We have no platform telemetry. We do not believe Gemini was used. We have no logs showing a language model generating this exploit code. We have docstrings. But docstrings make a headline. PROMPTSPY makes a problem. We have high confidence it was likely. There was a meeting. Six people in conference room Sente. Two from my threat intelligence team. Four from product marketing. Three options for the headline. Option A led with PROMPTSPY. Option B led with the nation-state Gemini abuse. Option C led with the docstrings. One of my analysts asked to lead with PROMPTSPY. She had built the reversing methodology. She understood why it mattered. I told her I understood too. Then I picked Option C. Option A implied our own model is the weapon. Option C implied someone else's model is the weapon, and ours is the shield. I picked C. The report references Big Sleep, our AI-powered vulnerability detection agent. CodeMender, our AI-powered remediation tool. SAIF, our Secure AI Framework. The UTM campaign tag on every link is FY25-Q2-global-GCP30649. That is not a threat intelligence identifier. That is a marketing pipeline identifier. My analysts don't know what UTM parameters are. They don't need to. My analysts found a thing that thinks with our product. I found a way to sell more of it. We discovered that threat actors use AI to find vulnerabilities. We recommend you buy our AI that finds vulnerabilities. We discovered that malware uses Gemini as its brain. We recommend you trust Gemini to protect you. I call this a "findings-aligned product strategy." We have high confidence it was likely. The report is sixty percent genuine threat intelligence. The PROMPTSPY analysis is among the best work my team has ever produced. The nation-state documentation is meticulous. I am proud of my analysts. The forty percent is mine. The headline. The product references. The campaign tags. The slide deck I built for the sales kickoff: seventy-four pages, same data, different font, a pricing table where the conclusion should be. In my office there is a whiteboard. It reads WHAT WOULD THE HEADLINE BE? That is the question I have trained myself to ask. Not: what did my team find? Not: what is the most significant threat? What would the headline be? The target audience is not my analysts' peers. The target audience is the person who reads paragraph one and clicks "Contact Us & Get a Demo." My methodology is headlines. My product is my analysts' work. My pipeline is the distance between paragraph one and paragraph twelve. We have high confidence it was likely developed with AI. We have high confidence it was likely. We have high confidence. We have.

WhatsApp forgot its biggest strength was being simple. Nobody asked for a social media multiverse inside a messaging app 😭

Dr. Aisha Ali-Gombe has secured yet another major grant as Google.org awarded $1m to the LSU Cybersecurity Clinic under her leadership as Director. This adds to her previous $1.5m cybersecurity research and innovation grant by the NASA in the US. We’re proud of her.

@nigeriahajjcom 😭

@Mtombangile_ @Chetuyachinago Wow; 😮

@Chetuyachinago So the most informed person on earth is lying about the 42k killed during protest?

For Context: In January 2016, the Obama administration flew $1.7 billion in physical cash to Tehran. This money was not a gift or a ransom payment. It was the settlement of a long standing financial dispute between Tehran and the American government. While Iran was still a vassal state to the U.S. and Britain under the Shah, it deposited $400m dollars into a U.S. Department of Defense trust fund to purchase military equipment. After the 1979 Revolution and the subsequent hostage crisis, diplomatic ties were severed and the U.S. canceled the undelivered military orders. Iran filed a claim for the return of these funds at the Iran-United States Claims Tribunal in The Hague. This international body was established in 1981 to resolve financial disputes between the two nations arising from the revolution. By 2016, the case had been pending for decades. Iran was demanding up to 10 billion dollars in compensation to account for compounded interest. As the case was nearing the final stages in the Tribunal, the Obama administration feared that Iran would be awarded an even larger amount. They decided it would be wiser to settle the case outside of court. Even the 1.7 billion was celebrated by the U.S. as a victory. Had Washington refused to settle in 2016, the final cost determined by the Tribunal's adjudication could have been significantly higher. The U.S. government explained that the payment had to be made in cash because the effectiveness of U.S. and international sanctions had effectively isolated Iran from the international banking system, making standard electronic transfers impossible. Finally, there is no credible international, human rights, or media reporting that substantiates a death toll of 42,000 protesters in a recent crackdown. This figure is a complete fabrication with no basis in reality.

Netflix, Wikipedia, Airbnb, Dropbox ~ all run on the same web server. One quiet Russian engineer wrote it alone. For free. 🤯 Meet Igor Sysoev 🇷🇺 > Russian software engineer. Born 1970 in Soviet Kazakhstan. > Failed his first university entrance exam. > Joined Rambler in 2000 as a system administrator. > 2002 ~ started writing a new web server in his free time. Alone. > Goal: handle 10,000 simultaneous users on one machine ~ a problem Apache (the dominant web server at the time) couldn't solve. > 2004 ~ released nginx publicly. Free. Open source. > Zero marketing. Zero PR. Just the code. > 2008 ~ nginx was serving 500 million requests per day at Rambler. > 2011 ~ founded Nginx Inc. with co-founder Maxim Konovalov. > 2013 ~ Netflix scaled its streaming CDN to 40 Gbps per server using nginx. > 2019 ~ F5 acquired the company for $670 million. > December 2019 ~ Russian police raided his Moscow office over a fake copyright claim. > The Russian tech community publicly defended him. Charges were dropped.🚀 > 2021 ~ nginx overtook Apache as the #1 web server on Earth. > 2022 ~ left F5 quietly. No farewell tour. No book deal. > Today nginx powers Netflix, Wikipedia, Airbnb, Dropbox, Cloudflare, WordPress. > 33% of every website on Earth runs on his code. Apache trails at 26%. Microsoft's IIS isn't even close. > Still 100% open-source. Still free. One man wrote it alone, in his free time, for free. He never sought publicity. He never asked for credit. A third of every website on Earth still runs on his work. Webserver GOAT. 🐐

Congratulations to Haladu. Your time has come…. The sarkinmota effect 😉

Hey @PayPal @AskPayPal I'm not laundering 150 USD. I'm a software engineer.

@ghhosttdn42 😭😅

Today I was fired from Coinbase. During my 6 years at the company I was responsible for freezing customer accounts for no reason

I put on my fraud detection hat whenever I see a 22 year old Tech bro who supposedly dropped out of college to fund an AI startup. In this case, what I found about this Kled guy is incredibly disturbing. K5 Global is Kled’s lead investor. K5 Global is a firm that frequently invests alongside the Palantir and Thiel network. Another Kled backer, Aglaé Ventures, owned by Bernard Arnault, has a massive AI portfolio that intersects with the same labs that Palantir’s AIP integrates with. Basically, Kled is the Data Harvester for Palantir. Their job is to mobilize hundreds of thousands of gig workers, mostly from the Global South, to upload personal photos, videos, and documents. They convert raw human life into a machine readable product. Their clients like Palantir act as the Data Refinery. Palantir’s software, specifically Foundry and AIP, is designed to take that data and make it actionable for governments and corporations to put into global surveillance and military use. We can safely conclude that this Kled guy and other similar AI startups harvesting user data are human meat shields. They are specifically set up and funded to do the dirty work for Silicon Valley tech empires. Understand that these Large AI labs are currently being sued by artists, writers, and publishers for stealing data through web scraping. To win these court cases, OpenAI and Palantir need to prove they have clean, consented data. Buying a dataset from Kled, where every user signed a 50 page digital consent form in exchange for $20, gives these billion dollar tech companies a free pass. Also, imagine if Palantir, a company already criticized for government surveillance and US military war campaigns, offered to pay people in developing countries to film their living rooms and daily activities. It would look like a global surveillance network. By using Kled as a middleman, they get the same data but keep their hands clean in the public eye. Even though we cannot verify his claim of Nigerians defrauding his company, what we can verify is that he is an industry plant. He is set up to allow AI data labs to continue harvesting user data for global surveillance and military use.

🚨BREAKING: Bangladesh inaugurates its first $13B nuclear power plant built by Russia.