AI & machine learning
Agents, LLMs, automation — what works in production and what it costs.
Meta's Muse Spark Open vs DeepSeek V4.1 Flash 1017 — two open-weight models in one week, and which one an Indian team should actually use
Meta opened 816B-parameter Muse Spark Open; DeepSeek shipped V4.1 Flash 1017 two days later. Licences, hardware, ₹ costs and when to pick each.
Read →The OpenCode breach — what leaked, who is affected, and how to lock down your AI API keys this week
OpenCode says provider keys stored by 1.4% of its Console users may have leaked. What to rotate today, how to cap spend per key, and an India checklist.
Read →How a one-architect company ships like a team — the AI agent stack behind Suzu Technology
Founder Sushil Kumar on fifteen years of datacenter work, and how Claude, MCP tool servers, browser automation and a scheduled content agent now run three businesses from one laptop in Noida.
Read →AI agents vs chatbots vs RAG — what each actually does, and what it costs to run
Three words get used interchangeably in every sales deck. They are different systems with different costs, risks and payoffs. Here is how to tell them apart, which one your business needs, and realistic monthly numbers for India.
Read →How to choose an LLM for your product — a scorecard that is still right next quarter
Model rankings change monthly; your decision process should not. Nine criteria — task fit, latency, cost per task, context, tool use, data handling, hosting, India availability, exit cost — with how to measure each and when a small or open-weight model is the right answer.
Read →Studying or building something? Use the tools.
Subnet calculator, JSON formatter, DNS/email checker, Proxmox sizer and more — free, no sign-up.