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
The document explains Privasea AI’s approach to running machine-learning tasks on encrypted data. It describes fully homomorphic encryption (FHE), which allows computations to produce encrypted results without exposing the original inputs, and names the…
The document describes GoKite as a Layer 1 blockchain intended to support autonomous AI agents with cryptographic identity, programmable permissions, payments, governance, and verification. Its account highlights KitePass identities, a Proof of Attributed…
The article describes Sapien as a decentralized marketplace for collecting and reviewing specialized AI training data. Its proposed process combines global contributors, human annotation and quality checks, machine-assisted error flagging, blockchain-based…
The article distinguishes conventional trading bots from AI agents. Bots execute predefined rules, such as grid, momentum, or arbitrage strategies, while agents are described as coordinating multiple data sources and adjusting rules in response to changing…
The article explains Arm Holdings’ asset-light semiconductor model: it licenses processor architecture and designs, then earns royalties when customers ship chips using its technology. It connects that model to demand for mobile processors, cloud…
The article describes Bitcoin Era as automated crypto trading software that sends orders through connected brokers or exchanges. It says the tool analyzes market and other data to identify trades, and compares it with centralized exchanges on assets, fees,…
The document describes 2U2.ai as a proposed Web3 content platform for generating, remixing, and distributing memes with AI tools. It outlines user workflows such as prompt-based creation, template reuse, asset insertion, and community sharing, along with…
The document explains Warden Protocol as a blockchain network intended to let AI agents manage assets and transact across chains under defined controls. It describes agent identities and public activity records, user-set permissions, multi-party computation…
The document describes LiveArt as a platform for tokenizing art and collectibles into fractional onchain assets. Its proposed model combines custody of physical objects, fractional ownership, AI-based discovery and pricing, and multi-chain infrastructure. It…
Numerai is described as a hedge fund that incorporates forecasts from a global community of data scientists. Participants build machine learning models using datasets supplied through weekly tournaments, submit predictions about financial markets, and stake…
The document describes GaiaNet as a decentralized network in which independently operated nodes host AI agents tuned to specialized knowledge. It outlines the proposed system architecture: edge computing, a WasmEdge runtime, retrieval-based knowledge tools,…
The document describes Theoriq as infrastructure for coordinating AI agents that handle DeFi tasks such as liquidity provision, rebalancing, yield optimization, and treasury management. Its proposed design combines on-chain contracts for registration,…
The article reviews Duolingo’s reported 2025 growth and its 2026 shift toward expanding users, alongside slower bookings and revenue growth guidance and a lower adjusted EBITDA margin target. It discusses the company’s subscription, advertising, in-app…
The document describes ILITY as a privacy-focused Layer 1 blockchain intended to verify identity, asset ownership, reputation, and activity across multiple chains. Its central mechanism is zero-knowledge proofs: users can demonstrate that a claim is true…
The article argues that crypto traders face information overload and proposes personalized AI agents as filters that connect market data to decisions. It describes an agent that could combine holdings, technical signals, news, sentiment, and social trends in…
The document outlines Fabric Protocol as blockchain infrastructure for identity, task coordination, payments, and governance among robots and other physical AI systems. It describes an EVM-compatible deployment on Base, on-chain machine identities and…
The article explains Allora as a decentralized network where multiple machine learning models submit predictions on specialized topics and other participants evaluate their accuracy. It describes a feedback mechanism in which prediction quality affects…
The document compares four tools used to build crypto trading systems with AI agents. It assigns MCP to structured tool calls and agent-readable exchange context, REST APIs to deterministic account operations and order execution, WebSockets to live prices,…
The article outlines how engineering education can lead to roles in cryptocurrency platforms and financial technology. It describes a general academic foundation in programming, systems, and analytical problem solving, then identifies supplementary skills…
The article reviews Palantir’s government and commercial software business, focusing on its AI platform, major contracts, customer growth, and reported financial performance. It describes the company’s Gotham, Foundry, and AIP products, and presents its data…
The document introduces artificial intelligence as machine simulation of tasks such as learning and reasoning, then distinguishes narrow systems designed for specific tasks from the broader goal of general intelligence. It explains machine learning as a way…
The document describes NFPrompt as a Web3 platform for generating and trading AI-created works as NFTs, including images, video, profile pictures, and music. It explains onboarding features intended to reduce wallet and transaction-fee friction, and says…
The article describes seven AI trading agents and the strategies they are said to represent. The approaches include hedged long-short positioning, relative momentum among major coins, momentum in altcoins, trend following, grid trading, reversal attempts…
This company analysis weighs Broadcom’s AI infrastructure growth against its valuation and execution risks. It reviews fiscal 2026 first-quarter results, noting revenue growth, strong margins, a lower debt ratio, and a shift toward custom AI accelerators. It…