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AI's impact on jobs is broader than past tech shifts, affecting both cognitive and skill-based roles, according to chief economic adviser V Anantha Nageswaran. He cautioned that current fears are overblown, driven by hype rather than evidence. While some routine tasks may be impacted, history sugges
French President Emmanuel Macron urged against AI monopolisation and called for international cooperation, emphasising India and France's shared commitment to ethical and responsible AI development. The leaders jointly inaugurated 'Bharat Innovates 2026' in Nice, showcasing deep-tech startups and fo
Our favourite music, clothes and books used to be markers of individuality – but the algorithm has made us all sheep. Meet the style rebels fighting back What are you into? What floats your boat? What music, films, clothes, art, books – anything, really – do you actually like? Do you find these ques
There's a whole world of tools to launch local LLMs out there, and these are some of the best.
Grassroots opposition to data center construction in the United States has reached a scale that is starting to reshape where and whether the AI industry can build. A new report from Data Center Watch, a tracker maintained by AI research firm 10a Labs, found that activists blocked or delayed at least
Skoda has revealed the Peaq, its first seven-seat all-electric SUV and the most expensive car in the Czech automaker’s 130-year history. Built on the Volkswagen Group’s MEB platform at Skoda’s home plant in Mladá Boleslav, the Peaq stretches nearly 4.9 metres long and is designed to compete directly
Most Android users overlook the automation features hiding in the settings menu. Here are the best ones around
为什么要做 AI 流水线？ 日常开发中，写代码只是第一步。审查、测试、修复往往花费更长时间。 所以我用 DeepSeek V4 搭了一个多 Agent 流水线： Writer → 沙箱执行 → Reviewer → Fixer → 再审 三个 Agent 上下文完全隔离： Writer 只看需求 Reviewer 看代码 + 执行结果 Fixer 看代码 + 审查报告 需求 → Writer 生成代码 → 沙箱运行 → Reviewer 审查 → 未通过 → Fixer 修复 → 沙箱再运行 → 再审 → 通过 → 交付 ✅ DeepSeek V4 Flash 的价格太低了：输入 ¥1/百万
Originally published at woitzik.dev Running large language models (LLMs) like Gemma 4 26B locally usually requires massive Nvidia clusters. But what if you want to run it in a home lab or a constrained edge environment using Infrastructure as Code (IaC)? In this guide, I will show you how to automat
Path traversal is a web vulnerability where an attacker reads files outside the directory your application intends to serve. It sounds simple, but the impact can be severe. One missing validation and an attacker can walk straight into your .env, your database backups, or your cloud credentials using
Originally published at woitzik.dev Most Kubernetes tutorials end with kubectl apply -f. You deploy something, it works, and you move on. Three weeks later you have no idea what's running in your cluster, why it's configured that way, or how to recreate it if something breaks. GitOps solves this. Wi
Every time you type www.google.com and hit enter, your computer doesn't actually know where Google lives on the internet — it has to ask for directions. That's DNS: the internet's phonebook, translating human-readable names into machine-readable IP addresses. Let's follow a single DNS query from the
Originally published at woitzik.dev Cloud Kubernetes clusters get LoadBalancers for free. You create a Service of type LoadBalancer, and within seconds your cloud provider hands you a public IP. On a bare-metal K3s cluster running on Proxmox VMs, that request hangs in forever. This is the first thin
Originally published at woitzik.dev Most Kubernetes homelab guides stop at "kubectl get pods" and call it a day. This one doesn't. This article documents a full production-grade homelab stack: three K3s nodes provisioned via Terraform on Proxmox, GitOps-managed with ArgoCD, persistent storage via Lo
Hi everyone! 👋 I’m Nitisha, a postgraduate MCA student based in Bengaluru, and I am officially starting my journey of "Learning in Public." My goal is to master Artificial Intelligence and Data Science, specifically focusing on NLP, LLMs, and LangChain. I’ve decided to document everything here—the
Zero tokens. That's how much of a blocked message reaches your LLM when an inbound rule rejects it at the SMTP layer — the mail is refused before it's ever delivered to the mailbox, so there's nothing to sanitize, summarize, or accidentally obey. That number matters because prompt injection through
Before: blocking a new spam domain meant editing a rule definition, reviewing the change, and redeploying config. After: it's one POST that appends a string to a list, and every rule referencing that list picks up the new value immediately — no rule edits, no deploy, and a support person can do it f
Picture a typical story: an engineer spins up an OTP-extraction mailbox for the CI pipeline in the spring. It works, everyone forgets about it, and months later a security review finds the thing — an unattended inbox quietly accumulating verification emails, password-reset links, and signup confirma
A rate limit on your API protects you from your users. A send limit on your email agent protects everyone else from your agent. That asymmetry is why quota design deserves more thought than "set it high enough that we never hit it." An autonomous sender with an LLM in the loop has failure modes a hu
This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more on e-bikes, power stations, and how to work anywhere, follow Thomas Ricker. The Stepback arrives in our subscribers' inboxes at 8AM ET. Opt in for The Stepback here. How it started Lithium-ion b
