Artificial Intelligence Guides

AI x Crypto: Autonomous Agents, Intents, and On-Chain Coordination

AI x Crypto: Autonomous Agents, Intents, and On-Chain Coordination The next serious crypto UX upgrade is not another button, dashboard, or wallet popup. It is outcome-based execution. Users should not need to manually choose every route, approve every spender blindly, estimate every gas setting, inspect raw calldata, and recover from every failed transaction alone. Intent-based […]

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AMD GPUs for DePIN and AI: ROCm, HIP, Rendering, and Machine Learning Compatibility Explained

Applied AI, Advanced blockchain, Intermediate Track / Wisdom Uche Ijika

AMD GPUs for DePIN and AI: ROCm, HIP, Rendering, and Machine Learning Compatibility Explained AMD ROCm and DePIN GPU networks now sit in an awkward but important middle ground. AMD GPUs are increasingly useful for Blender Cycles, Redshift, local AI development, ONNX or MIGraphX-style inference, PyTorch ROCm workflows, and private rendering farms. But many decentralized

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Decentralized AI Inference Explained: Hosting LLM Endpoints on Web3 Networks with SLAs

Applied AI, Advanced blockchain / Wisdom Uche Ijika

Decentralized AI Inference Explained: Hosting LLM Endpoints on Web3 Networks with Real SLAs Decentralized AI inference is the process of serving large language model responses through distributed GPU capacity instead of relying only on one centralized cloud account. The business opportunity is clear: agencies, startups, SaaS teams, creator tools, support bots, RAG products, and internal

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From Home to Colocation: when a garage rack makes sense, power budgeting, and ROI modeling

Applied AI / Wisdom Uche Ijika

From Home to Colocation: When a Garage Rack Makes Sense, Power Budgeting, and ROI Modeling A home rack becomes serious infrastructure when power draw, heat, noise, uptime, and network dependency stop feeling like experiments. A small NAS, validator node, development stack, or AI workstation can live comfortably at home. A dense GPU rack, production node

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GPU Efficiency Playbook: undervolt, fan curves, and VRAM pad upgrades for 24×7 compute.

Intermediate Track / Wisdom Uche Ijika

GPU Efficiency Playbook: Undervolting, Fan Curves, VRAM Pad Upgrades, and 24×7 Compute Stability Running GPUs around the clock is different from gaming for a few hours. Machine learning jobs, AI inference nodes, render farms, scientific workloads, validator infrastructure, backtesting engines, and Web3 compute services expose every weakness in power delivery, cooling, airflow, fan behavior, VRAM

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What If AI Goes Wrong? The Real Risks of Machine Learning

Beginner Track / Wisdom Uche Ijika

What If AI Goes Wrong? The Real Risks of Machine Learning AI failure is not always dramatic. It often starts quietly: a biased dataset, a stale source, a weak prompt, a poisoned document, a confident hallucination, a missing approval step, a tool call with the wrong parameter, or a model that keeps working after the

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Can You Learn AI in 30 Days? A Beginner’s Challenge

Beginner Track / Wisdom Uche Ijika

Can You Learn AI in 30 Days? A Beginner’s Challenge You will not become an AI research scientist in one month, but you can become useful with AI in 30 days. That means you can learn the basic concepts, build better prompts, ground outputs in sources, connect simple tools, protect sensitive data, evaluate results, and

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Why Every Web3 Builder Should Understand AI Now More Than Ever

Intermediate Track / Wisdom Uche Ijika

Why Every Web3 Builder Should Understand AI Now More Than Ever Web3 is programmable value. AI is programmable knowledge. Their convergence is creating a new product stack where wallets become agent runtimes, protocols expose machine-readable policies, data carries provenance, models request payments, agents execute under limits, and governance decisions are increasingly assisted by machine intelligence.

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AI Will Change Everything. Here’s What You Can Do to Stay Ahead

Beginner Track / Wisdom Uche Ijika

AI Will Change Everything: What You Can Do to Stay Ahead AI is not one product to learn once and forget. It is a capability wave changing how people research, write, build, analyze, manage, invest, secure workflows, and make decisions. The people who stay ahead will not be the ones who only collect tools or

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7 Things You Didn’t Know AI Could Do (And It’s Just Getting Started)

Beginner Track / Wisdom Uche Ijika

7 Things You Didn’t Know AI Could Do AI is no longer only a chatbot that answers questions. Modern AI systems can write and test code, turn sketches into interfaces, understand voice and sound, call tools, verify outputs, learn from sensitive data without centralizing raw records, detect industrial failures before they happen, and negotiate plans

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