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Anthropic's Claude Science desktop application focuses on solving the digital grunt work in scientists' daily research, such as data integration and supercomputer scheduling, rather than pursuing a grand-narrative AI scientist. It lowers the barrier to scientific computing through a natural language interface.
This article discusses the growing need for a web data infrastructure layer to provide AI models with fresh, real-time, and trustworthy data, highlighting challenges like static training data and the importance of retrieval-augmented generation.
CQL is an open-source tool that uses category theory to perform database operations such as querying, migrating, and integrating data with built-in correctness guarantees through theorem proving.
Manus AI introduces a connector for Similarweb's market intelligence data via MCP, enabling automated competitive research and presentation generation from natural language prompts.
BLINKG is a benchmark designed to evaluate the mapping capabilities of Large Language Models (LLMs) in constructing Knowledge Graphs from heterogeneous data sources. It provides a standardized framework to assess how effectively LLMs establish correspondences between data schemas and ontology concepts.
Databox MCP enables users to chat with their business data inside AI assistants like Claude and ChatGPT.
Manus AI has upgraded its integration with Similarweb, allowing users to access richer web intelligence and understand growth drivers.
The paper presents Prometheus, a framework that uses large language models to extract local causal claims from text and organizes them into navigable causal atlases, enabling deep causal research across diverse domains.
Mirage is a unified virtual file system for AI agents that maps disparate data sources (S3, Google Workspace, Slack, GitHub, etc.) into a single filesystem, allowing agents to use standard Unix/bash commands across all integrations without learning multiple APIs.
Simon Willison shares techniques for fetching data from Datasette into Google Sheets using SQL functions, including importdata(), named functions, and Google Apps Script methods with API token support.
Emily Prince, Group Head of AI at LSEG, shared her 'AI Everywhere' strategy at an OpenAI customer event. By leveraging OpenAI's Model Context Protocol (MCP), she integrates 33PB of trusted data into workflows, striking a balance between speed and governance, driving AI transformation both internally and for clients.