Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
5,018 documents
This explainer describes Grass as a decentralized network in which participants run nodes that contribute unused internet bandwidth to gather publicly accessible web data. It presents this data as an input for AI labs training large language models, with the…
The document surveys tools used to analyze cryptocurrency markets, grouping them into technical analysis, on-chain analytics, sentiment monitoring, fundamental research, and machine-learning forecasts. It argues for combining distinct evidence sources: price…
The document presents Rizenet as a proposed public-permissioned Layer 1 blockchain on Avalanche for decentralized finance and tokenized real-world assets. It describes possible applications including fractionalized real estate, private credit, and carbon…
The document introduces io.net as a decentralized network that aggregates GPU and CPU capacity for machine learning workloads. It describes IO Cloud for deploying clusters, IO Worker for supplying compute resources, IO Explorer for viewing network activity,…
The article explains how access to historical cryptocurrency prices can support market analysis and trading research. Traders can inspect past trends, fluctuations, and market reactions to form hypotheses about market behavior. Historical records can also…
The article presents BullBear AI as a cryptocurrency prediction platform that applies AI to historical prices, user activity, and real-time market changes, with links to the Arbitrum ecosystem. It claims the system predicted Bitcoin’s price trajectory with…
The document describes WORLD3 as a platform for creating autonomous agents that can perform tasks across Web2 and Web3 services. It outlines a no-code builder, reusable skills and knowledge packs, an agent runtime with hierarchical planning, multi-agent…
The document explains Bitget GetAgent Playbook as a workflow for turning trading ideas into configurable strategies. Playbooks can specify market conditions, monitored signals, entry triggers, risk settings, profit and loss exits, and stop conditions. Users…
The article introduces ChainGPT as a chatbot focused on blockchain and cryptocurrency topics, describing uses such as answering questions, scanning blockchain information, drafting Solidity smart contracts, and reviewing Solidity code for vulnerabilities. It…
The article introduces artificial intelligence through machine learning and neural networks, then outlines ways AI and blockchain might complement one another. It argues that blockchain records could improve transparency and oversight around AI processes,…
This article assesses DGrid AI’s DGAI token through bearish, neutral, and bullish scenarios from its 2026 launch period through 2030. It describes the project’s stated ecosystem, including a gateway to AI models, decentralized inference, AI agents, node…
The article describes Cluster Protocol as a Base-based network intended to connect AI models, GPU computing, datasets, applications, and autonomous agents. It outlines a shared workflow for accessing models and compute, licensing data, and settling payments…
The document describes Wayfinder as a blockchain platform where autonomous AI agents, called Shells, use wallets to interact with apps, tokens, NFTs, and smart contracts across networks. They follow community-reviewed Wayfinding Paths for tasks such as…
The article introduces AI agents as systems that observe conditions, plan actions, and carry out multi-step tasks with limited human input. It uses decentralized finance examples such as trade execution, yield optimization, and portfolio management, and…
The document introduces Autonolas as a framework for software services that can operate with less reliance on people to continually trigger smart contracts. It focuses on decentralized autonomous organizations and the challenge of running ongoing processes…
The document describes Bitget Seed, a mobile service for discovering and trading early-stage tokens on Solana. It explains that the platform uses a Bitget Score based on trading activity, contract security, holder concentration, liquidity, and growth…
This guide compares copying an individual bot with subscribing to a strategist who manages multiple bots. It proposes evaluating performance alongside runtime, sales, copier investment, minimum investment, buyer profit, and trade history rather than…
The document explains how Bitget GetAgent Playbook structures automated trading strategies before activation. A Playbook can specify market conditions, signals, triggers, risk settings, position sizing, exits, and stop conditions. Users can preview and…
The article discusses possible future developments for shark fin investment products in crypto. It predicts that demand for risk management could support their continued use and suggests that machine learning might enable automated adjustments based on…
The document contrasts Huma Protocol, described as an income-based lending system, with Huma AI, presented as a blockchain analytics and trading platform. Huma’s proposed model uses income verification and lending pools to assess borrowers and fund loans…
This glossary explains the roles and terminology used in a crypto exchange’s strategy copy-trading product. It distinguishes users who copy published strategies from strategists who provide them, and defines strategy creators, subscriptions, strategy prices,…
The document describes Holoworld as a platform for creating, launching, and monetizing AI-powered characters, interactive worlds, and applications. It outlines no-code creative tools, a launchpad, autonomous livestreaming, and developer integrations, along…
The article describes Qubic as a blockchain platform that directs mining computation toward artificial neural network training. Under its useful proof-of-work model, miners perform tasks assigned by network Computors rather than solving unrelated puzzles. A…
The document explains the EU AI Act as a risk-based framework, distinguishing prohibited uses, high-risk systems, applications with transparency duties, and minimal-risk tools. It describes high-risk obligations such as data quality, technical documentation,…