Advancing computer use with Ironclad
OpenAI and contract-management firm Ironclad are training and testing AI agents on complex contracting workflows. The work aims to improve how agents operate computers for professional tasks.
Agents & harnesses
427 stories · Page 9/9MCP for agent-to-agent comms may be the riskiest protocol you've never heard of
Ars Technica reports on security weaknesses in a new protocol that lets AI agents communicate via MCP. Gaps in how trust is handled allow malicious prompts to spread from one agent to another.
Connecting AI agents to enterprise knowledge
An MIT Technology Review piece argues that enterprise AI agents often lack knowledge rather than data. They need to understand what data means in each organization’s context to reason and make decisions.
Bringing predictive analytics to the agentic AI era
An MIT Technology Review piece argues that the question for enterprises is no longer whether predictive models work. The challenge is letting them act on their own conclusions without drifting from business goals.
The Agent Said It Was Done. The Database Disagreed.
A Hugging Face post looks at cases where an AI agent reports a task as complete although the database shows otherwise.
Apple changes full-disk access permissions to curb abuse from AI agents
Apple has changed how full-disk access permissions work on its systems to limit misuse by AI agents. Meta argues the permission should not be enough to let its Muse agent read messages, while Apple disagrees.
A model guide for the GPT-6 family
OpenAI has published a guide for startups on choosing between GPT-6 models. It covers tuning reasoning effort, writing prompts and skills, coordinating tools and preparing workflows for production.
Redefining enterprise intelligence with autonomous AI
An MIT Technology Review piece says enterprise AI is now fully operational, with model capabilities advancing faster than companies can adopt them. It cites a forecast that global AI investment will reach $2.5 trillion in 2026, up 44% on the previous year.
AutoSynthData: Generating Training Data for Enterprise Agents
A Hugging Face post presents AutoSynthData, an approach for generating training data for enterprise AI agents.
Chatham scales its capital markets expertise with OpenAI
Chatham Financial uses Codex and GPT-5.6 to build tools and redesign workflows. Trade validation now takes under 4 minutes instead of 30.
From Training to Production, NVIDIA and CoreWeave Close the Loop on Agentic AI
At its Fully Connected event in San Francisco, CoreWeave announced it is bringing NVIDIA’s next-generation infrastructure into production. The two companies have worked together on AI cloud infrastructure for nearly a decade.
Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents
A Hugging Face post describes a verification approach for MCP-based agents that checks where information comes from, not only whether it is correct.
DevDay 2026 Recap
OpenAI has summarized more than 20 announcements from its DevDay 2026 developer conference. They cover GPT-6 Astra, ChatGPT, Codex, APIs, security and new developer tools.
Introducing dots
OpenAI has launched dots, proactive assistants that keep working on complex projects and everyday tasks. The company says users stay in control while the work moves forward.
Holo4: powering generalist computer-use agents
A Hugging Face post presents Holo4, designed to power general-purpose agents that operate computers.
Are you a Codex Original?
OpenAI is collecting stories from developers, researchers and creators who use Codex for its Codex Originals program. Interested users can submit their project.
Proaction boosts sales 60% and saves 75+ hours with Codex
Fleet-management company Proaction uses Codex, GPT-Live-1 and GPT-6 Astra to build, run and sell its software faster. It reports a 60% increase in sales and more than 75 hours saved.
Ringg’s AI agents resolve up to 65% of customer calls with OpenAI
Ringg uses GPT-5.6 to run multilingual customer-service agents across voice, chat, WhatsApp and the web. The company says they resolve up to 65% of calls at 90% lower cost than with GPT-4.1.
Airbnb widens access to GPT-6 Astra and OpenAI frontier models
Airbnb is giving more of its engineering teams access to GPT-6 Astra and other OpenAI models. The goal is to help them fix bugs, design systems and ship faster.
NVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics Development
NVIDIA has released Isaac ROS 5.0, a set of GPU-accelerated packages built on the open ROS robotics framework. It targets developers building robots that perceive, reason and act in changing environments.
Parallel cut research time and cost in half with GPT‑6 Astra
With GPT-6 Astra, Parallel’s agents researched and synthesized labor-market data in half the time and at half the cost of earlier models, according to OpenAI.
V7 cuts costs 78% while boosting accuracy with GPT-5.6 Luna
V7 uses GPT-5.6 to turn scattered company files into context that agents can draw on for complex tasks with linked sources. The company reports a 78% cost reduction alongside better accuracy.
Reimagining advertising with AI
OpenAI is introducing new AI-based advertising formats, including Sponsored Agents and tools for marketers. The company also announced integrations with HubSpot and Shopify.
Hex turns complex analysis into visual reports with GPT-6 Astra
Data platform Hex uses GPT-6 Astra in its data agents to turn answers into interactive visualizations. OpenAI presents it as a customer case study.
Your Agent Aced the Task. Will It Do It Again?
A Hugging Face blog post examines whether AI agents that succeed at a task do so reliably on repeated attempts.
How Fyxer built an AI executive assistant people trust
Fyxer combines OpenAI models with fine-tuning, memory and user feedback to sort inboxes and write emails that match each user’s style. The case study presents how the startup built trust in its AI assistant.
Perplexity trusts GPT-6 Astra with end-to-end systems
OpenAI describes how Perplexity relies on GPT-6 Astra to draft communications, modify software and watch over production systems. According to the case study, the team needs to supervise the model far less often than with previous models.