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Uber Faces Shareholder Lawsuit Over Safety Issues
The lawsuit, led by a Detroit pension fund, alleges Uber's board and management has cut too many compliance corners, resulting in thousands of lawsuits.
Uber's 500 Data-Capturing Vehicles for AI Infrastructure
The modified Ioniq 5 will be loaded with sensors to capture data for Uber's new AV Labs division.
Hands-Free Voice Interaction with Open-LLM-VTuber
Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking face running locally across platforms
Trivy AI Tool: Find Vulnerabilities in Containers, Kubernetes, and Clo
Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
AI Tools: YouTubers Direct Top Movies This Weekend
The YouTube-to-prestige-horror pipeline is looking very strong.
Trump Mobile Data Leak: Customers' Info Exposed
Trump Mobile is leaking customers’ email and home addresses but has not responded to people alerting the company of the data exposure, according to two YouTubers who said they verified that their leaked data is authentic.
AI Tool: Uberdosis on GitHub - Hacker News
Discover Uberdosis: The Powerful AI Tool Hosted on GitHub Uberdosis, an innovative AI tool available on GitHub, is making waves in the tech community. This vers…
Rapido Secures $240M Funding at $3B Valuation
Rapido has driven its growth by enabling ride-hailing for lower-cost and more flexible modes of transport such as motorbikes and auto-rickshaws.
Kunobi 1.0: Local-First Kubernetes for GitOps Teams
Kunobi 1.0: Revolutionizing Local First Kubernetes for GitOps Teams Introduction Kunobi 1.0 is an innovative tool designed to streamline Kubernetes management f…
Uber's AI Push: Beyond Rides, Into Autonomous Vehicles
The company has been trying to embed itself inside the AV industry — as a data provider, an investor, and a distribution platform — but the consumer-facing bet may be just as important.
Uber's Plan to Turn Drivers into Self-Driving Sensors
Praveen Neppalli Naga, Uber's chief technology officer, revealed the plan in an interview at TechCrunch's StrictlyVC event in San Francisco on Thursday night, describing it as a natural extension of a nascent program the company announced in late January called AV Labs.
Uber Partners with Hertz for Lucid Robotaxi Fleet Management
Hertz is creating a new affiliate company called "Oro Mobility" to provide fleet management solutions "across a range of mobility segments."
Uber Expands with AI-Powered Hotel Bookings
Uber announced several new features on Wednesday during its annual event, which push far beyond the company's original ride-hailing purpose and deeper into its users' lives.
ClusterdOS: Kubernetes Simplified for Teams
ClusterdOS: Kubernetes Simplified for Teams ClusterdOS is an innovative platform designed to streamline Kubernetes management, making it accessible and efficien…
Nvidia Exec: AI Currently More Expensive Than Human Workers
Nvidia’s vice president of applied deep learning, Bryan Catanzaro, recently stated that for his team, “the cost of compute is far beyond the costs of the employees,” highlighting that AI is currently more expensive than human workers. This challenges the narrative that widespread tech layoffs (including Meta’s planned cut of \~8,000 jobs and Microsoft’s voluntary buyouts) signal an imminent replacement of humans by AI. An MIT study from 2024 supports this, finding that AI automation is economically viable in only 23% of roles where vision is central, and cheaper for humans in the remaining 77%. Despite heavy AI investment—Big Tech has announced $740 billion in capital expenditures so far this year, a 69% increase from 2025—there is still no clear evidence of broad productivity gains or job displacement from AI. AI spending is driving up costs, with some executives like Uber’s CTO saying their budgets have already been “blown away.” Experts describe the situation as a short-term mismatch: high hardware, energy, and inference costs make AI less efficient than humans right now, though future improvements in infrastructure, model efficiency, and pricing models could tip the balance toward greater economic viability in the coming years.
Mubert: AI Music Creation for Creators and Businesses
AI-driven, royalty-free music creation for creators and businesses.
AI Forensics: The Missing Link in AI Decision-Making
I work in AI security and compliance. This just bothers me a little bit, putting AI systems in front of decisions that change people’s lives via insurance claims, hiring, credit, defense applications and when someone asks wait, why did the system do that? we basically have nothing that would hold up in a courtroom. The explainability tools we have right now? SHAP, LIME, attention maps but they’re research tools. They’re not evidence. Researchers have shown you can build a model that actively discriminates while producing perfectly clean looking explanations. They have unbounded error, they give you different answers on different runs, and there’s no way for the other side’s lawyer to independently check the work. That’s a problem if you’re trying to meet Daubert standards. And the regulatory side is moving just as fast. EU AI Act has record keeping requirements coming online. The FY26 NDAA has an AI cybersecurity framework provision with implementation due mid 2026. States are doing their own thing. Courts are starting to actually push back on AI evidence under FRE 702. There is a ton of AI observability tooling out there. Great for ops. There’s governance platforms. Great for policy. But when it comes to something that’s actually forensic grade where opposing counsel is actively trying to tear it apart, where a third party can independently verify what happened without just trusting the vendor,I’m not seeing it. What am I missing?
Kloak: Secure Secret Management for Kubernetes
Kloak: Secure Secret Management for Kubernetes In the world of Kubernetes, managing secrets securely is crucial for maintaining the integrity and security of yo…
Kloak: Secure Secret Management for Kubernetes
Introducing Kloak: Revolutionizing Secret Management for Kubernetes When managing Kubernetes workloads, securing sensitive information such as API keys, passwor…