Agents
Inside OpenAI’s quest to make AI do anything for you | TechCrunch
Shortly after Hunter Lightman joined OpenAI as a researcher in 2022, he watched his colleagues launch ChatGPT, one of the fastest-growing products ever. Meanwhile, Lightman quietly worked on a team teaching OpenAI’s models to solve high school math competitions. Today that team, known as MathGen, is considered instrumental to OpenAI’s industry-leading effort to create AI…
How bright are AI agents? Not very, recent reports suggest
Security researchers are adding more weight to a truth that infosec pros had already grasped: AI agents are not very bright, and are easily tricked into doing stupid or dangerous things by legalese, appeals to authority, or even just a semicolon and a little white space. The latest example comes from researchers at Pangea, who…
How AI Agents Patch Vulnerabilities Before DevSecOps Teams React
How autonomous AI is reshaping cybersecurity — and why it’s not about replacing humans, but giving them the upper hand. Hey, I’m Sri Kumar – a DevOps Engineer. And if you work in cybersecurity or DevOps, especially in AI-driven teams, you’ll want to hear this. It’s 3:08 PM on a regular weekday. A new deployment…
Anthropic unveils ‘auditing agents’ to test for AI misalignment
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now When models attempt to get their way or become overly accommodating to the user, it can mean trouble for enterprises. That is why it’s essential that, in addition to…
Dust hits $6M ARR helping enterprises build AI agents that actually do stuff instead of just talking
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Dust, a two-year-old artificial intelligence platform that helps enterprises build AI agents capable of completing entire business workflows, has reached $6 million in annual revenue — a six-fold increase…
For Replit’s CEO, the future of software is ‘agents all the way down’
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Can enterprise teams truly vibe code their way out of expensive SaaS contracts? Replit CEO and co-founder Amjad Masad seems to think so, and the ambitious vision could mean “agents all the…
Teaching Mistral Agents to Say No: Content Moderation from Prompt to Response
In this tutorial, we’ll implement content moderation guardrails for Mistral agents to ensure safe and policy-compliant interactions. By using Mistral’s moderation APIs, we’ll validate both the user input and the agent’s response against categories like financial advice, self-harm, PII, and more. This helps prevent harmful or inappropriate content from being generated or processed — a…
Building Event-Driven AI Agents with UAgents and Google Gemini: A Modular Python Implementation Guide
In this tutorial, we demonstrate how to use the UAgents framework to build a lightweight, event-driven AI agent architecture on top of Google’s Gemini API. We’ll start by applying nest_asyncio to enable nested event loops, then configure your Gemini API key and instantiate the GenAI client. Next, we’ll define our communication contracts, Question and Answer…
How to Use python-A2A to Create and Connect Financial Agents with Google’s Agent-to-Agent (A2A) Protocol
Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using a shared, standardized format—eliminating the need for custom integration between services. In this tutorial, we’ll use the decorator-based approach provided by the python-a2a library. With simple @agent and @skill decorators, you can define your agent’s…
Run Multiple AI Coding Agents in Parallel with Container-Use from Dagger
In AI-driven development, coding agents have become indispensable collaborators. These autonomous or semi-autonomous tools can write, test, and refactor code, dramatically accelerating development cycles. However, as the number of agents working on a single codebase grows, so do the challenges: dependency conflicts, state leakage between agents, and the difficulty of tracking each agent’s actions. The…