AMD on DePIN (2025): The Real State of ROCm & HIP Rendering vs. ML Compatibility Can AMD GPUs earn on decentralized GPU networks today? Short answer: yes for a growing chunk of rendering, and limited, but improving options for ML. This operator-focused guide explains what actually works in 2025 across ROCm/HIP on Linux and Windows, […]
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Inference as a Side Business: Hosting LLM Endpoints on Decentralized Networks with SLAs If you can serve fast, reliable LLM responses at a fair price, there’s steady demand from agencies building chat tools to startups needing overflow capacity. The twist: instead of buying expensive GPUs, you can rent compute on decentralized networks and still promise
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From Home to Colocation: When a Garage Rack Makes Sense, Power Budgeting, and ROI Modeling There’s a point where a “home lab” stops being cute and starts being a utility. Fans get louder, breakers trip, the summer heat kicks in, and your power bill looks like a second rent. This guide helps you decide with
AI and Blockchain: What Happens When Two Revolutions Collide? Artificial Intelligence turns data into decisions. Blockchains turn agreements into tamper-evident state machines. Put them together and you get verifiable intelligence: models built on auditable data, executed on accountable infrastructure, and paid for with programmable incentives. This masterclass maps the opportunity space from data provenance, decentralized
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The Role of AI in Crypto Trading: Smart Bots or Dumb Risk? Crypto markets never sleep, generate torrents of public data, and let anyone deploy strategies at the speed of APIs and smart contracts. That makes them a natural laboratory for AI-driven trading and a minefield of overfitting, latency traps, hidden costs, and market structure
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AI in the Workplace: Will It Replace Jobs or Create New Ones? Artificial Intelligence is changing how we write, code, sell, support customers, schedule logistics, diagnose issues, and even brainstorm. The question most people ask “Will AI take my job?” is powerful but incomplete. A better question is: Which tasks within my job will be
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AI in Everyday Life: From Netflix to Siri Here’s How It’s Changing the World Artificial Intelligence isn’t just powering robots in labs; it’s woven into your daily routine what you watch, read, buy, learn, how you commute, and even how your bank protects you from fraud. This deep, practical guide follows AI as it moves
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Building Simple AI Models with Python (Beginner Code Examples) A hands-on path to your first working ML pipeline: data loading, splits, baselines, feature engineering, training, evaluation, and saving a small model. Includes tabular classification, text classification, and a minimal API. Read first: These examples are educational. If you use models for trading or risk, apply
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Prompt Engineering for AI Productivity A practical guide to writing prompts that produce consistent, verifiable, and useful outputs , with templates for research, governance, on-chain risk, market briefings, and dev workflows. Integrates with our Prompt Libraries. TL;DR: Good prompts set role, goal, context, constraints, and output format. Add examples, require sources, and define evaluation rubrics.
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AI Tools for Crypto Market Analysis Turn raw feeds, prices, on-chain events, and news; into decisions. We map the toolchain: data sources, feature engineering, sentiment/RAG, anomaly detection, dashboards, alerting, and the prompts that keep your analysis rigorous. Heads-up: These approaches are educational. If you apply them to trading or risk, use proper evaluation, human oversight,
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