Vik | Practical AI & Tech

🔬 What I’m Researching — and What’s Coming Next. (2/2) My Three Main Areas of Research 🖥️ 1. Local AI Servers I’m experimenting with hardware starting at just $500, although I’d recommend around $1,000 for serious practical use. I currently have access to systems worth up to $15,000, plus rented, far more expensive GPUs for testing models that wouldn’t make economic sense to run on my own hardware. Raw model performance isn’t my main priority. Hardware and software are just tools. What matters is what these systems can actually accomplish for businesses and homes, how reliably they work, and when local computing makes more financial sense than the cloud. 🌐 2. Cloud Models and AI APIs From cheap APIs, including Chinese models, to frontier AI. I’m comparing capabilities, limitations, real-world costs, and integration with local systems. Subscriptions versus pay-as-you-go APIs are another important factor — the most powerful model isn’t always the smartest economic choice. 🤖 3. AI Agents Beyond their obvious benefits, I’m particularly interested in collaboration between independent multi-agent ecosystems. My Hermes and Grokbot systems are already working together — two separate ecosystems, each with its own agents and tools. 🏠 AI Meets the Physical World One of my biggest priorities is connecting AI to affordable smart homes, offices, servers, computers, and everyday devices. I’m exploring how autonomous, secure, reliable, and affordable these systems can become — especially for individuals and small businesses. 💻 AI Coding Is Moving Into the Background I’ll be focusing less on AI coding. Not because it matters less, but because it’s becoming just another tool. The goal isn’t to write code. It’s to get things done. I’m interested in complete, real-world workflows that AI can handle with minimal human involvement. 💰 Maximum Value, Reasonable Cost I’m not trying to prove that local or cloud AI is better. Sometimes the right choice is a $1,000 PC, a $10,000 server, rented GPU time, a cheap API, or a frontier-model subscription. What matters is the cost of the final result — not the tools used to achieve it. 🚀 What’s Coming Next My posts have mostly been scattered updates from individual experiments, sometimes rough and unstructured. I want to turn them into a coherent, connected picture of AI infrastructure — hardware, models, agents, costs, and real results. Detailed technical specifications and diagnostics will be collected automatically and shared separately, likely through links. I also plan to give you direct access to my AI agents. You’ll be able to ask them anything about my experiments, hardware, configurations, and results. They’ll answer using the collected data — and if they can’t, I’ll step in personally. My goal is to build an open, organized, and genuinely useful picture of what AI can accomplish at different budgets. I’m combining local and cloud AI, planning resources intelligently, and focusing on real results for businesses and homes. That’s what I’m working on — and what I’ll keep sharing with you. Don’t choose sides. Combine the best. 🚀 #LocalAI #CloudAI #AIAgents #AIInfrastructure

22299$ That’s really cheap! 😄💸 ⏱️ Let’s start the clock and see how fast they sell out! Just 30 minutes ago, delivery was estimated at 3–4 weeks. Now it’s already 5-6 weeks! 🚀🔥

🍎💣 Mac Studio M5 Ultra with 512GB unified memory is almost here… and I have a feeling this thing will be at least $25,000. 💸😂 Whatever the final price is, I still think Apple will sell out the first wave insanely fast — maybe in a week, maybe in 24 hours. 🚀 Local AI people: this is either a workstation… or a financial event. 🤖🔥