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The Government’s Quiet Pressure Campaign to Turn Tech Companies Into Surveillance Partners

Submitted by Anonymous (not verified) on Thu, 02/26/2026 - 14:00

When the federal government wants to monitor its citizens, it doesn’t always need to build its own tools. Increasingly, it has found a more efficient path: pressuring the private companies that already hold vast troves of personal data to do the watching on its behalf. A recent analysis by the Electronic Frontier Foundation lays bare this growing dynamic, warning that tech firms are being coerced—sometimes subtly, sometimes not—into becoming extensions of the state’s surveillance apparatus.

Nvidia’s $68 Billion Quarter Proves the AI Gold Rush Is Far From Over — It’s Accelerating

Submitted by Anonymous (not verified) on Thu, 02/26/2026 - 13:45

Nvidia just posted the kind of quarter that makes even seasoned Wall Street analysts pause. Record revenue of $68.1 billion for the fiscal fourth quarter ended January 25, 2026 — up 73% from a year ago and 20% from the prior quarter. Earnings and guidance both topped expectations. The stock ticked higher in late trading, extending a rally that has made Nvidia the most consequential company in the global semiconductor industry and, arguably, in the broader technology economy.

AI Can Spot Hundreds of Software Bugs in Minutes — But the Hard Part Is What Comes Next

Submitted by Anonymous (not verified) on Thu, 02/26/2026 - 13:45

Artificial intelligence has reached a point where it can scan massive codebases and flag hundreds of software vulnerabilities in a fraction of the time it would take a human security researcher. Yet a growing body of evidence suggests that finding bugs is only half the battle — and perhaps the easier half. The far more difficult challenge of actually fixing those bugs remains stubbornly resistant to automation, raising pointed questions about how much trust the software industry should place in AI-driven security tools.

Uber Employees Built an AI Clone of CEO Dara Khosrowshahi to Rehearse Presentations — And It’s Brutally Honest

Submitted by Anonymous (not verified) on Thu, 02/26/2026 - 13:35

At most companies, preparing for a high-stakes presentation to the chief executive involves rehearsing in front of colleagues, refining slide decks, and hoping for the best. At Uber Technologies, employees now have a different option: they can pitch their ideas to a digital replica of CEO Dara Khosrowshahi — one that interrupts, challenges assumptions, and pushes back with the kind of pointed questioning the real Khosrowshahi is known for.

DeepSeek Shuts Out Nvidia and AMD From Early Access to Its Latest AI Model — And the Signal It Sends to Washington

Submitted by Anonymous (not verified) on Thu, 02/26/2026 - 13:25

The Chinese artificial intelligence startup DeepSeek has quietly excluded major American chipmakers Nvidia and AMD from early access to its newest AI model, a move that carries significant implications for U.S.-China technology competition and the semiconductor industry’s already fraught relationship with Beijing’s most prominent AI lab.

Love, Algorithms, and Loneliness: How China’s AI Dating Companions Are Reshaping Romance for Millions

Submitted by Anonymous (not verified) on Thu, 02/26/2026 - 13:20

In China, a country grappling with plummeting birth rates, a shrinking population, and a generation of young people increasingly disenchanted with traditional courtship, a new kind of relationship is taking hold — one that exists entirely within the confines of a smartphone screen. Millions of Chinese users, predominantly young men, are turning to artificial intelligence-powered dating apps not to find a human partner, but to create one from scratch.

The Software That Fixes Itself: Why Self-Improving Code May Reshape the Future of Development

Submitted by Anonymous (not verified) on Thu, 02/26/2026 - 13:10

For decades, software has been a static artifact — written by humans, tested by humans, debugged by humans, and eventually retired when the cost of maintaining it exceeds the cost of replacing it. But a growing body of thought, now gaining traction among AI researchers and software architects alike, suggests that the next generation of programs won’t just run — they’ll learn, adapt, and improve themselves without waiting for a developer to push an update.

Google Hands Gemini the Keys to Your Android Phone — and Hopes You’ll Trust It to Drive

Submitted by Anonymous (not verified) on Thu, 02/26/2026 - 13:00

Google is making its boldest move yet in the race to embed artificial intelligence into the daily rhythms of smartphone use. The company announced that its Gemini AI assistant can now automate certain multi-step tasks directly on Android devices, a capability that moves the assistant from a reactive tool — one that answers questions when asked — into something closer to an autonomous agent capable of acting on a user’s behalf across multiple apps and system functions.

The .online TLD Trap: How One Developer’s Nightmare Exposes a Quiet Crisis in Domain Name Pricing

Submitted by Anonymous (not verified) on Thu, 02/26/2026 - 12:55

When Sid, a software developer and blogger who runs the site 0xsid.com, registered a .online domain for a personal project, the price was attractive — just a few dollars for the first year. What followed was a lesson in the opaque, often punishing economics of newer top-level domains (TLDs), and his experience is far from unique.

The End of Online Anonymity: How AI and Data Brokers Could Unmask Millions of Internet Users at Scale

Submitted by Anonymous (not verified) on Thu, 02/26/2026 - 12:45

For decades, the implicit bargain of the internet has been that pseudonymity — posting under a screen name, browsing behind a VPN, compartmentalizing identities across platforms — offered a reasonable shield against identification. That assumption is now under direct threat. A recent technical analysis by AI safety researcher Simon Lermen lays out in granular detail how current artificial intelligence capabilities, combined with the vast commercial data broker industry, could enable the large-scale deanonymization of online users at costs that are startlingly low.