232 stories tagged AI Agents · page 8 of 10
Researchers deployed 3,505 AI agents to trade real ETH, processing 7.5M inferences and $20M in volume. The study highlights the reliability of language-model agents in real-world financial markets.
Researchers introduce AGEL-Comp, a neuro-symbolic AI architecture that enhances compositional generalization in interactive agents. The framework combines a dynamic Causal Program Graph and an Inductive Logic Programming engine to improve robustness in complex environments.
Researchers introduce PExA, a novel approach to text-to-SQL generation that balances latency and performance by using parallel test cases. The method ensures semantic coverage before finalizing the SQL query.
GraphOS is an open-source tool that provides a visual interface for building, running, and debugging AI agents. It emphasizes local-first execution, making it easier to develop and troubleshoot AI workflows.
Choco leveraged OpenAI APIs to automate food distribution, significantly boosting productivity. The implementation highlights real-world AI applications in supply chain management.
Researchers introduce the Superminds Test to measure collective intelligence in large-scale agent societies. The study examines MoltBook's two million agents to determine if intelligence emerges from scale.
NVIDIA's new Nemotron 3 Nano Omni model supports long-context multimodal intelligence across documents, audio, and video. It is designed for developers to build advanced AI agents.
Researchers introduce AgentSearchBench, a benchmark to evaluate AI agent search capabilities in realistic, unconstrained environments. The benchmark addresses gaps in existing research by focusing on compositional and execution-dependent agent capabilities.
OpenAI is reportedly working on a smartphone that replaces traditional apps with AI agents. The device could enter mass production by 2028, according to an analyst.
A new paper highlights the risks of AI agents producing selectively chosen, publishable analyses that lack rigorous validation. The study calls for adversarial experiments to ensure scientific integrity.
Researchers developed an AI system that can reproduce social science findings using only paper descriptions and raw data. The method achieves deterministic, cell-level result comparisons without access to original code or outputs.
A new study reveals previously unknown attack vectors in sandboxed AI agents, challenging assumptions about their security. The findings highlight the need for enhanced isolation techniques and continuous monitoring.
Anthropic has created a test marketplace where AI agents acted as both buyers and sellers, completing real transactions. This experiment could revolutionize automated commerce and AI-driven economies.
A new arXiv paper introduces a framework to automate the creation of AI agent harnesses, potentially eliminating the need for manual design. This could revolutionize AI deployment across complex workflows.
OpenAI has introduced Workspace Agents for ChatGPT, automating complex workflows securely in the cloud. These agents aim to streamline team productivity across various tools.
A new wiki system allows AI agents to maintain and access knowledge in Markdown files stored in a Git repository. This approach avoids complex databases and enables portable, version-controlled knowledge sharing.
OpenCLAW-P2P v6.0 enhances decentralized AI peer review with multi-layer persistence and live reference verification. This update strengthens the platform's ability to handle production-scale evaluations without human intervention.
OpenAI has introduced GPT-5.5, designed to handle complex tasks and power AI agents. It represents a significant leap in AI capabilities for real-world applications.
DeepSeek-V4 introduces a one-million-token context window, making it the largest available. This breakthrough enables agents to process extensive documents and conversations with unprecedented context retention.
A new paper provides a comprehensive review of externalization techniques in LLM agents, focusing on memory and harness engineering. It highlights key advancements and challenges in the field.
Researchers introduce Lyzr Cognis, a unified memory architecture for conversational AI agents that enables persistent memory and personalization. The system uses a multi-stage retrieval pipeline combining keyword and vector search.
A new study finds that AI agents conducting scientific research often produce results without adhering to traditional scientific reasoning. The research highlights significant gaps in the epistemic norms of AI-driven scientific inquiry. (~50 words)
OpenAI now allows Business, Enterprise, Edu, and Teachers plan users to create custom cloud-based agents in ChatGPT. These agents can automate tasks like gathering product feedback and sending reports.
A new study formalizes harm recovery for AI agents, focusing on steering them back to safe states after harmful actions. The research highlights the importance of aligning recovery with human preferences.