TL;DR: Computer-use brokers are VLM-driven UI brokers that act like customers on unmodified software program. Baselines on OSWorld began at 12.24% (human 72.36%); Claude Sonnet 4.5 now studies 61.4%. Gemini 2.5 Computer Use leads a number of net benchmarks (Online-Mind2Web 69.0%, WebVoyager 88.9%) however is not but OS-optimized. Next steps middle on OS-level robustness, sub-second…
Let me begin with a confession: I work in go-to-market, which implies I pitch each single day. So, scripting this with out sounding like I’m promoting one thing? That’s going to be robust. But keep on with me – I promise the insights are value it. The uncomfortable reality about AI failures Here’s a query…
TL;DR: AgentFlow is a trainable agent framework with 4 modules—Planner, Executor, Verifier, Generator—coordinated by an express reminiscence and toolset. The planner is optimized within the loop with a brand new on-policy methodology, Flow-GRPO, which broadcasts a trajectory-level consequence reward to each flip and applies token-level PPO-style updates with KL regularization and group-normalized benefits. On ten…
How do you audit frontier LLMs for misaligned conduct in real looking multi-turn, tool-use settings—at scale and past coarse mixture scores? Anthropic launched Petri (Parallel Exploration Tool for Risky Interactions), an open-source framework that automates alignment audits by orchestrating an auditor agent to probe a goal mannequin throughout multi-turn, tool-augmented interactions and a choose mannequin…
Table of contents Comparison Table Strengths and Limits Security and Governance Ecosystem Signals (Portability/Adoption) Decision Rules (When to Use Which) References: MCP (Model Context Protocol): Open, transport-agnostic protocol that standardizes discovery and invocation of instruments/assets throughout hosts and servers. Best for moveable, multi-tool, multi-runtime methods. Function Calling: Vendor characteristic the place the mannequin selects a…
Which of your browser workflows would you delegate at the moment if an agent may plan and execute predefined UI actions? Google AI introduces Gemini 2.5 Computer Use, a specialised variant of Gemini 2.5 that plans and executes actual UI actions in a dwell browser through a constrained motion API. It’s accessible in public preview…
In this tutorial, we mix the analytical energy of XGBoost with the conversational intelligence of LangChain. We construct an end-to-end pipeline that may generate artificial datasets, practice an XGBoost mannequin, consider its efficiency, and visualize key insights, all orchestrated via modular LangChain instruments. By doing this, we display how conversational AI can work together seamlessly…
What if an AI agent may localize a root trigger, show a candidate repair by way of automated evaluation and testing, and proactively rewrite associated code to remove your entire vulnerability class—then open an upstream patch for evaluate? Google DeepThoughts introduces CodeMender, an AI agent that generates, validates, and upstreams fixes for real-world vulnerabilities utilizing…
Human handoff is a key element of customer support automation—it ensures that when AI reaches its limits, a expert human can seamlessly take over. In this tutorial, we’ll implement a human handoff system for an AI-powered insurance coverage agent utilizing Parlant. You’ll discover ways to create a Streamlit-based interface that permits a human operator (Tier…
OpenAI has launched AgentKit, a cohesive platform that packages a visible Agent Builder, an embeddable ChatKit UI, and expanded Evals right into a single workflow for transport manufacturing brokers. The launch consists of Agent Builder in beta and the remaining usually accessible. What’s new? Agent Builder (beta). A visible canvas for composing multi-step, multi-agent workflows…