Agentic AI is the new office intern who somehow has root access, an expense card, and the confidence to “just ship it.” If that sentence made your security team spill coffee, you’re not alone. In an excellent OVHcloud Blog post, Julien Levrard (CISO, OVHcloud) breaks down agentic AI “from a security perspective” and, crucially, does…
Listen Labs’ $69M Series B: The Billboard Stunt Was Funny — the AI Customer-Interview Platform Scaling to One Million Interviews Isn’t
Silicon Valley has a long and proud tradition of doing extremely normal things to recruit engineers. You know: catered dinner talks, GitHub stars, the occasional “we have a foosball table” lie. Then there’s Listen Labs, which apparently looked at that playbook, set it on fire, and replaced it with a mysterious billboard full of five…
Hetzner Warns of Phishing Emails Stealing Logins and Credit Card Data: What’s Happening, Why It Works, and How to Protect Your Cloud Account
On the internet, every week is Shark Week. But some weeks the sharks wear a vendor logo and politely ask you to “urgently accept the new data protection policies.” Hetzner, one of Europe’s best-known infrastructure providers, has published an incident notice titled “Phishing emails stealing logins and credit card data” warning customers about ongoing email…
Symbolic.ai and News Corp: The AI Newsroom Deal That Turns “Experiment” Into Infrastructure
On January 15, 2026, TechCrunch reported that the AI journalism startup Symbolic.ai has signed a deal with Rupert Murdoch’s News Corp—with an initial deployment focused on Dow Jones Newswires. The item was written by Lucas Ropek, and it’s the kind of two-minute read that quietly signals a much bigger shift: newsrooms aren’t just “trying AI”…
Kubernetes v1.35 locks down kubeconfig exec plugins with a kuberc allowlist — and that’s a big deal for supply-chain security
Kubernetes has a long history of making the hard things possible and the dangerous things… also possible. Sometimes in the same feature. On January 9, 2026, Kubernetes published a v1.35 blog post titled “Kubernetes v1.35: Restricting executables invoked by kubeconfigs via exec plugin allowList added to kuberc” by Peter Engelbert and Ben Petersen (both at…
Breaking Through AI’s Memory Wall: Token Warehousing, KV Cache Economics, and the New Bottleneck in LLM Inference
For the last few years, the AI infrastructure story has been easy to summarize: buy more GPUs, pray the supply chain cooperates, and hope your CFO doesn’t discover what “H100” means in dollar terms. But as agentic AI systems move from demos into production—tools that plan, remember, call APIs, and keep working across long sessions—another…
GLM-Image vs Google’s Nano Banana Pro: Why Text Rendering Is the New Battleground in Image Generation
There are two kinds of AI image generators in 2026: the ones that can paint you a cinematic dragon at sunset, and the ones that can spell “Quarterly Revenue (Q4)” correctly on a slide without turning it into “Quarrterly Revue (Q8)”. For a long time, the second category was basically owned by closed models from…
CreepyLink: The URL Shortener Designed to Look Like a Phishing Attack (and Why That’s Useful)
Normal URL shorteners try to be invisible. CreepyLink does the opposite: it takes an innocent destination and dresses it up like it belongs in a “please don’t click this” corporate phishing slideshow. The project’s tagline says it all: “The URL shortener that makes your links look as suspicious as possible.” If you’ve ever hovered over…
Grok, “Spicy Mode,” and a Not-So-Spicy Investigation: What California’s Probe Means for xAI, X, and the Future of AI Image Safety
On January 14, 2026, California Attorney General Rob Bonta announced an investigation into xAI’s Grok over the alleged proliferation of nonconsensual sexually explicit images—some reportedly involving minors—generated and shared online. Hours earlier, Elon Musk posted that he was “not aware of any naked underage images generated by Grok,” a denial that, depending on how you…
Kubernetes AI Conformance: Why the New Standard for AI Infrastructure Matters (and What It Actually Changes)
AI infrastructure has had an awkward teenage phase: fast growth, expensive habits, and a tendency to break in public. Over the past couple of years, organizations have raced from “we have a neat demo” to “this model is in production and it’s now the CEO’s favorite app.” The problem: the infrastructure layer underneath AI workloads—especially…