Learn Artificial Intelligence from the basics to intermediate level. Token Tool Hub offers practical guides on machine learning, neural networks, and AI’s role in blockchain and crypto
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, […]
AMD on DePIN: current state of ROCm and rendering vs. ML compatibility Read More »
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
Inference as a Side Business: hosting LLM endpoints on decentralized networks with SLAs Read More »
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
GPU Efficiency Playbook: Undervolt, Fan Curves, and VRAM Pad Upgrades for 24×7 Compute Around-the-clock compute pushes graphics cards far beyond “gaming for a few hours.” Machine learning training runs, render farms, scientific compute, and validators demand weeks of continuous duty. This playbook shows you how to cut 10–35% power draw, shave 5–20°C from hotspot temps,
GPU Efficiency Playbook: undervolt, fan curves, and VRAM pad upgrades for 24×7 compute. Read More »
What If AI Goes Wrong? The Real Risks of Machine Learning The upside of AI is obvious: speed, scale, and new capabilities. The downside often hides in quiet corners, skewed data, silent failure modes, brittle assumptions, and attack surfaces that look like ordinary inputs. This guide is a practical map of risks across data, models,
What If AI Goes Wrong? The Real Risks of Machine Learning Read More »
Can You Learn AI in 30 Days? A Beginner’s Challenge You won’t become a research scientist in a month, but you can learn enough AI to automate real work, ship small apps, hold your own in conversations with experts, and build a portfolio that opens doors. This challenge is a structured, hands-on plan to do
Can You Learn AI in 30 Days? A Beginner’s Challenge Read More »
Why Every Web3 Builder Should Understand AI Now More Than Ever Web3 is programmable value; AI is programmable knowledge. The two are colliding into a new stack where agents have wallets, data has provenance, models earn and pay, and governance is increasingly mediated by machine intelligence. This masterclass explains the convergence, what’s real, what’s hype,
Why Every Web3 Builder Should Understand AI Now More Than Ever Read More »
AI Will Change Everything. Here’s What You Can Do to Stay Ahead. AI isn’t one product, it’s a capability wave sweeping through every role, industry, and workflow. Some people will be swept along. Others will surf. This masterclass is a playbook for the second group: what to learn, how to practice, which habits compound, and
AI Will Change Everything. Here’s What You Can Do to Stay Ahead Read More »
7 Things You Didn’t Know AI Could Do (And It’s Just Getting Started) AI can write emails and summarize meetings, sure. But under the hood, modern systems can do far stranger (and more useful) things: verify their own work with tools, transform sketches into working interfaces, learn from data without seeing the raw data, generate
7 Things You Didn’t Know AI Could Do (And It’s Just Getting Started) Read More »
AI + DeFi: Smarter Trading, Better Risk Models, or Just Hype? Decentralized finance (DeFi) promises open, programmable markets; artificial intelligence (AI) promises pattern discovery and automation at scale. Put them together and you hear bold claims: alpha on tap, robots that never sleep, risk models that avert crises. This deep-dive separates signal from noise. We’ll
AI + DeFi: Smarter Trading, Better Risk Models, or Just Hype? Read More »
