Anthropic's Claude now integrates with business applications like Asana, PayPal, and Square, enabling users to automate tasks and streamline workflows, marking a significant advancement in generative AI capabilities.
Explore the Model Context Protocol (MCP), a standardized framework for integrating AI models with external data, APIs, and services, enhancing AI development and deployment.
Analysis of the industry's measured response to Model Context Protocol (MCP), a unifying standard for AI interoperability, including challenges, limitations, and potential for fostering AI agency.
Explore MCP security risks: poisoning, manipulation, and covert attacks. MasterMCP tool aids in identifying vulnerabilities. Learn practical attack methods and defenses with real-world scenarios and code examples.
Anthropic's Claude 3 Opus is now on Amazon Bedrock. Leverage its power for automation, R&D, and strategic analysis. Unlock generative AI's potential for your business with enhanced accuracy and capabilities.
Civicom integrates Anthropic's Claude into Quillit ai®, enhancing qualitative research analysis with AI-driven reports while ensuring top-tier data security, compliance and accuracy.
An experiment staffing a fictional software company with AI agents from Google, OpenAI, and others yielded dismal results, revealing AI's limitations in common sense, social skills, and self-deception, suggesting humans will remain essential in the workplace.
Anthropic's DMCA takedown of Claude Code sparks debate about balancing intellectual property rights and open-source innovation. The incident highlights licensing strategy differences and the critical role of developer goodwill in the AI landscape.
Anthropic's legal action over Claude Code sparks debate on open source in AI. Contrasting approaches of Claude Code and Codex CLI highlight complexities of balancing proprietary interests with open collaboration in AI development.
The Model Context Protocol (MCP), developed by Anthropic, is emerging as a standard for connecting AI models to real-world data and services. It aims to standardize integrations, enabling AI systems to access and interact with diverse data sources securely and efficiently.
