Claws: The New Layer on Top of LLM Agents
Andrej Karpathy discusses the emergence of ‘Claws’ as a new layer on top of LLM agents, providing orchestration, scheduling, and persistence capabilities while highlighting security concerns with current …
Andrej Karpathy discusses the emergence of ‘Claws’ as a new layer on top of LLM agents, providing orchestration, scheduling, and persistence capabilities while highlighting security concerns with current …
This research paper presents six principled design patterns for building AI agents with provable resistance to prompt injection attacks, demonstrating their practical applicability through ten case studies across diverse …
SWE-Lancer introduces a comprehensive benchmark of over 1,400 real freelance software engineering tasks from Upwork worth $1 million USD, evaluating frontier language models on both individual contributor coding tasks …
SpeCrawler is a comprehensive system that leverages large language models to automatically generate OpenAPI Specifications from diverse API documentation through a carefully crafted multi-stage pipeline. The system …
Google Threat Intelligence Group reports on the increasing integration of AI by state-sponsored threat actors for reconnaissance, social engineering, and malware development, including model extraction attacks and …
A comprehensive analysis of AI market trends showing accelerated revenue growth, improved operational efficiency, and the transformation of both AI-native and traditional companies in the current technology cycle.
This research paper presents a domain-specific AI content safety taxonomy for financial services and demonstrates that general-purpose guardrail systems fail to identify most domain-specific risks. The authors evaluate …
This paper presents an LLM-agent driven framework for dynamically discovering and organizing financial topics from quarterly earnings calls into a hierarchical ontology. The system enables analysts to track emerging …
This paper introduces FINTAGGING, the first comprehensive benchmark for evaluating large language models on XBRL tagging tasks, decomposing the complex process into financial numeric identification and concept linking …
This paper presents OOPS (OpenAI OpenAPI Project Scanner), a novel LLM-based approach for automatically generating OpenAPI specifications from REST API source code across multiple programming languages and frameworks. …