Artificial Intelligence Guides

Crypto for AI Data Markets: Paying for High-Quality, Traceable Datasets (2025 Builder’s Guide) AI progress now hinges on data quality and data rights as much as model scale. Scraped web corpora are noisy, legally ambiguous, and increasingly poisoned. Crypto gives us the missing rails: property rights for contributors, programmable payouts for markets, and verifiable provenance […]

AI-Trading Myths vs Reality: What Actually Works On-Chain (2025 Builder’s Guide) Angle: Simulated backtests for simple strategies (funding-rate carry; LP fees vs impermanent loss/LVR), and why LST/LRT yields distort signals. If you’re building real systems, not just reading threads this guide shows what survives fees, gas, MEV and regime shifts, and where “AI edge” actually

AI x Crypto: Autonomous Agents, Intents, and On-Chain Coordination “Intents” and agentic flows are the UX shift of 2025. Users don’t want to micromanage approvals and gas, they want to say what they want (“swap 200 USDC to ETH at best price under 20 bps slippage”) and let software handle the how. This guide turns

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