Agents
New training approach could help AI agents perform better in uncertain conditions
A home robot trained to perform household tasks in a factory may fail to effectively scrub the sink or take out the trash when deployed in a user’s kitchen, since this new environment differs from its training space. To avoid this, engineers often try to match the simulated training environment as closely as possible with…
Developer Barriers Lowered as OpenAI Simplifies AI Agent Creation
OpenAI has recently released a suite of new developer tools aimed at making it easier to create AI agents that can perform complex tasks autonomously. Announced last week, the update introduces a Responses API, an open-source Agents SDK, and built-in tools for web search, file search, and computer control – all designed to streamline how…
OpenAI unveils Responses API, open source Agents SDK, letting developers build their own Deep Research and Operator
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI is rolling out a new suite of APIs and tools designed to help developers and enterprises build AI-powered agents more efficiently. These are delivered atop some of the very same technology powering its own first-party…
Researchers from FutureHouse and ScienceMachine Introduce BixBench: A Benchmark Designed to Evaluate AI Agents on Real-World Bioinformatics Task
Modern bioinformatics research is characterized by the constant emergence of complex data sources and analytical challenges. Researchers routinely confront tasks that require the synthesis of diverse datasets, the execution of iterative analyses, and the interpretation of subtle biological signals. High-throughput sequencing, multi-dimensional imaging, and other advanced data collection techniques contribute to an environment where traditional,…
How New AI Agents Will Transform Credential Stuffing Attacks
Credential stuffing attacks had a huge impact in 2024, fueled by a vicious circle of infostealer infections and data breaches. But things could be about to get worse still with Computer-Using Agents, a new kind of AI agent that enables low-cost, low-effort automation of common web tasks — including those frequently performed by attackers. Stolen…
Reinforcement Learning Meets Chain-of-Thought: Transforming LLMs into Autonomous Reasoning Agents
Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. However, their ability to engage in logical reasoning remains a challenge. Traditional LLMs, designed to predict the next word, rely on statistical pattern recognition rather than structured reasoning. This limits their ability to solve complex problems…
What’s next for agentic AI? LangChain founder looks to ambient agents
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Agentic AI is the latest big trend in generative AI, but what comes after that? While full artificial general intelligence (AGI) is likely still some time in the future, there might well be an intermediate step…
Camel-AI Open Sourced OASIS: A Next Generation Simulator for Realistic Social Media Dynamics with One Million Agents
Social media platforms have revolutionized human interaction, creating dynamic environments where millions of users exchange information, form communities, and influence one another. These platforms, including X and Reddit, are not just tools for communication but have become critical ecosystems for understanding modern societal behaviors. Simulating such intricate interactions is vital for studying misinformation, group polarization,…