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Windows 11 2026 Update released, here's everything you need to know bleepingcomputer.com/news/mi… bleepingcomputer.com/news/mi…

YOU CAN’T MAKE THIS UP Change name of AI to Super Intelligence, gather the world’s best talent leading the most powerful AI (SI) companies… Then misspell United States under the presidents signature Absolute cinema

Ronaldo at age 80 with 999 goals

‼️BREAKING: An actively exploited unknown critical Citrix NetScaler zero-day has prompted governments and organizations to SHUTDOWN all their devices immediately. We don't know what's exactly going on yet. Stay tuned for more info.

杭州太子尖云瀑，真的好治愈

Thua luôn rồi 😢😢😢 Nhất tu thị Nhị tu gia Thứ ba tu chùa

📢 The word is out: Microsoft Security landed the 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗖𝗲𝗻𝘁𝗲𝗿, 𝗜𝗦𝗢𝗖. As a SOC practitioner for almost 7 years, this development speaks close to my heart for two reasons: ✅ 𝗧𝗼𝗼𝗹 𝗰𝗼𝗻𝘀𝗼𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 SOC teams have spent years stitching together signals, context, and controls across different tools. Bringing SIEM and threat protection closer together means fewer boundaries and more focus on the actual security outcome. ✅ 𝗦𝗶𝗺𝗽𝗹𝗶𝗰𝗶𝘁𝘆 This one matters a lot. Analysts shouldn’t spend their time operating the security stack. They should spend it investigating, making decisions, and stopping threats. And as agents become part of the SOC, simplicity becomes even more important. 🔗 Read more on ISOC: microsoft.com/en-us/security… #MicrosoftSecurity #SOC #SecurityOperations #MicrosoftDefender #MicrosoftSentinel #AgenticSOC

Japan thought it had the Asian Games relay in the bag. The Japanese broadcast was full of confidence as Japan built a huge lead. Then China turned the race upside down.

That iPhone is 3 years old… but the repair shop just gave it a second life 🔋📱🔥 “Why replace it when you can revive it?” 👀

Đ.m , đ.é0 cưới xin gì nữa🤣 2 họ xông vào combat nhau luôn🥶🥶

Wtf! 😭😭😭

Four Linux local-root vulns published with working PoCs. DirtyAH6 (CVE-2026-80844), TUNderflow (CVE-2026-81000), PPPoEject (CVE-2026-68121), DiagSpill (CVE-2026-74469). Write-up + exploits dropped after coordinated disclosure. heyitsas.im/posts/lpe-quarte… openwall.com/lists/oss-secur… #Cybersecurity #AI #AISecurity #MCP #Claude #GPT #Infosec #Trending #KernelSecurity #PrivilegeEscalation

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Two economists mathematically proved that AI will destroy the economy. Researchers from Wharton and Boston University published a terryfiying paper called "The AI Layoff Trap." They mapped out the economic end-game of the AI transition, and it exposes a fatal flaw in competitive capitalism. When a company replaces a worker with AI, it captures 100% of the wage savings. But that displaced worker is also a consumer. When they lose their job, they stop buying things. The company gets all the savings, but the loss of consumer demand is spread across the entire economy. If there are 20 competitors in a market, a CEO only absorbs 1/20th of the economic damage their layoffs just created. So every single rational CEO has a mathematical incentive to automate as fast as possible. They can literally see the cliff approaching, and they still step on the gas. It triggers an unavoidable Prisoner’s Dilemma. If you don't automate, your competitors will, and they will crush you on price. It doesn't just hurt workers. It destroys the businesses, too. The economy gets trapped in an automation arms race. Companies fire their workforce to stay competitive, until the entire consumer base is completely hollowed out. At the limit, the paper concludes: “Firms automate their way to boundless productivity and zero demand.” And the scariest part? The researchers mathematically tested every popular fix. Universal Basic Income? Fails. It raises the living standard but doesn't change the corporate incentive to cut jobs. Retraining? Fails. Worker equity? Fails. The paper proves that more competition actually makes the collapse happen faster. And "better" AI makes the damage worse. The only thing that mathematically stops the collapse is a targeted automation tax, forcing companies to pay for the purchasing power they destroy before they automate the job.

That's why mosquitoes bite men more.😭😂

Chinese researchers just published a paper with a apocalyptic title: "The Last AI Built by Humans." Shanghai Jiao Tong, Tsinghua, ByteDance, and Shanghai AI Lab dropped a 75-page paper on genuine recursive self-improvement. it maps out 5 levels of AI autonomy, ending with a model that redesigns the process that improves itself. We’ve spent the last three years obsessing over scaling laws. Throwing more compute and more data at the same basic models. But a massive new 33-author paper just revealed a hard truth. Existing LLMs are stalling out. The researchers developed a metric called the "Headroom-Closd Index." It mathematically proves where and why current AI systems are hitting a wall. They can't get infinitely smarter just by reading more human text. The solution changes the entire trajectory of the industry. Instead of humans manually tweaking algorithms, the AI has to learn how to rewrite itself. The paper lays out a terrifyingly clear 5-stage roadmap: First, the AI executes human-designed improvements. Then, it decides how to improve. Then, it gathers its own training experience. Then, it adapts its own architecture for new environments. Finally, it hits Stage 5: Recursive meta-improvement. The AI invents entirely new ways to improve AI. Methods human engineers can't even conceptualize. This isn't theoretical. The paper connects this roadmap directly to existing industry practices, spanning from software engineering to embodied intelligence. Once an AI hits stage five, it optimizes its own intelligence faster than a human team ever could. The gap between humans and machines stops being linear. It goes vertical. We are no longer building the ultimate AI. We are just building the seed. Once it learns how to grow itself, human engineers are entirely out of the loop.

Anthropic/OpenAI are faking an AI panic right now. How and why they're doing it and my expectation for the stock market moving forward. 👇🏼