Beginner Track

How to Evaluate an AI Crypto Tool: Accuracy, Coverage, and Risk (Complete Guide) How to Evaluate an AI Crypto Tool is one of the most important skills a Web3 user, researcher, builder, or trader can develop because the difference between a genuinely useful tool and a persuasive but unreliable one is often hidden behind polished […]

Using Runpod in a Safe Research Workflow: Setup, Limits, and Common Mistakes (Complete Guide) Using Runpod in a Safe Research Workflow is not just about spinning up fast compute and running AI jobs. It is about building a repeatable process that protects your prompts, datasets, API keys, models, budget, and research outputs from avoidable mistakes.

Using Chainstack in a Safe Research Workflow: Setup, Limits, and Common Mistakes (Complete Guide) Using Chainstack in a Safe Research Workflow matters because blockchain research becomes fragile very quickly when your data source, RPC assumptions, rate limits, key handling, logging habits, and AI automation are not designed deliberately. Many people connect a managed node provider,

Using Blockpit in a Safe Research Workflow: Setup, Limits, and Common Mistakes (Complete Guide) Using Blockpit in a Safe Research Workflow is not about treating one dashboard as the final source of truth. It is about placing a portfolio and tax-tracking platform inside a structured process that includes source verification, reconciliation, labeling discipline, privacy awareness,

Intro to Vector Search for Research: A Practical Tutorial (Complete Guide) Intro to Vector Search for Research is the fastest way to upgrade how you find information in messy, real-world data. Keyword search is good when the exact words are known. Research usually is not like that. You are hunting meaning, paraphrases, near-duplicates, hidden themes,

AI Security Basics: Prompt Injection, Data Poisoning, and Safe Inputs (Complete Guide) AI Security Basics is not about chasing the newest jailbreak prompt. It is about engineering systems so untrusted text cannot silently become trusted instructions, and so untrusted data cannot quietly shape what your model believes. This guide breaks down prompt injection, data poisoning,

Beginner Guide to Using QuantConnect for Crypto Research and Backtests QuantConnect can feel intimidating at first because it sits at the intersection of code, market structure, and data engineering. This guide makes it simple: you will learn how to set up a safe research workflow, how crypto backtests lie when you ignore slippage and fees,

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,

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

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