Travala has launched an AI-powered hotel booking protocol that gives agents access to more than 2.2 million properties and enables near-instant USDC payments on Base for about $0.01 per booking. According to reports, Singapore-based crypto travel platform Travala has released…
The integration of USDC on Base by Modern Treasury could accelerate stablecoin adoption in enterprise payments, bridging crypto and traditional finance.
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Microsoft has identified seven new failure modes in agentic AI systems, in addition to those it identified last year in its first Taxonomy of Failure Modes in Agentic AI Systems.
Four things contributed to the growing list of ways agentic AI can go wrong: the speed at which the technology went mainstream, the growing maturity of the Model Context Protocol (MCP) ecosystem, the rise of computer-use agents, and finally the gathering of more empirical evidence as researchers obtained more real-life findings.
The seven new failure modes it has identified are:
Agentic Supply Chain Compromise —agent behavior can be affected by natural language rather than malicious code;
Goal Hijacking — adversarial instructions appear aligned with legitimate task completion, while silently redirecting the agent’s terminal goal;
Inter-Agent Trust Escalation —a compromised agent asserts false identity or inflates claimed permissions to an orchestrator;
Computer Use Agent (CUA) Visual Attack — agents operating
Travala's AI travel protocol could revolutionize booking efficiency, but raises concerns about AI autonomy and user control in financial transactions.
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QuickSwap's expansion to Base could redefine its market position, potentially enhancing investor confidence through multi-chain growth and MEV strategies.
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For the past two years, enterprises have focused on grounding AI systems in internal documents, databases and knowledge repositories. Microsoft now contends that the next challenge is giving those systems reliable access to the outside world as they move into production.
At its ongoing annual Build conference, Microsoft unveiled Web IQ, a new suite of AI-native APIs designed to connect AI agents and applications to real-time information from across the web, including web pages, news, images and videos.
The goal is to help developers build more accurate and context-aware AI systems while reducing the complexity of integrating web search, retrieval and grounding capabilities into enterprise applications, the company wrote in a blog post.
The APIs already underpins grounding for Microsoft Copilot and ChatGPT, and unlike traditional search APIs are designed to retrieve highly relevant information while minimizing token consumption, helping reduce both inference costs and response latency,