Essays

CrowdStrike’s AI Agent Security Deals Target Agents That Do Harm With Valid Credentials

CrowdStrike will pay about $495 million for Fiddler and Dreadnode to test AI agents before launch and trace their decisions after, because an agent can break policy without being hacked.

Voice Coding Needs a Confirmation Step Before Agents Merge and Ship

Engineers now tell coding agents to merge and ship by voice. A response to Sage Lazzaro on why irreversible agent actions need a separate, hands-free confirmation.

Design Reviews for AI Agent Code Belong Before the Pull Request

Code review research shows understanding is its bottleneck. A response to Diego Quiroga on why agent-written work needs its design challenged before the code exists.

AI Agent Memory Held Both the Skills and the False Beliefs of MIT’s Eko Agents

MIT’s Eko agents beat fresh copies after 30 hours of play, placing 10.3 objects versus 3.5 on one task, and their memory files also stored false beliefs.

AI Agent Permissions: Why a Model Upgrade Should Trigger a Review

A permission approved for one AI model does not stay safe when the model changes. What the UK AISI incident shows, and what to re-check.

How Third Moment Research Runs 10,000 AI Agents for 48 Hours

OpenAI's latest case study offers a rare look at the infrastructure required to keep thousands of autonomous agents conducting computational research over multiple days.

Inside the Architecture of 10,000 Autonomous AI Agents

Third Moment Research's deployment provides a useful starting point for understanding where model reasoning ends and distributed-systems engineering begins.

How Do AI Agents Work for 48 Hours Without Losing Context?

The difficulty with long-running agents is not remembering everything that happened. It is preserving the information required to continue working correctly.

What Happens When an Autonomous AI Agent Fails?

Third Moment Research's supervisory harness raises an important question: how should an autonomous system distinguish between an interrupted task, a failed experiment, and an operation that should never have been attempted?

Why AI Agents Waste Tokens While Waiting for Tools

Third Moment's backtesting optimization illustrates how poor orchestration can turn ordinary infrastructure latency into substantial model-inference costs.

How Do You Secure 10,000 Autonomous AI Agents?

Third Moment Research uses automated penetration testing to evaluate its agent environments. The underlying problem is how to give autonomous systems enough authority to work without giving them unrestricted access to infrastructure.

How Do Self-Improving AI Agents Actually Work?

Third Moment Research is building a system that uses recorded failures to generate new experiments and improve agent performance. The difficult part is proving that the improvement generalizes.

How Third Moment Research Runs 10,000 AI Agents for 48 Hours

Inside the Architecture of 10,000 Autonomous AI Agents

How Do AI Agents Work for 48 Hours Without Losing Context?

What Happens When an Autonomous AI Agent Fails?

Why AI Agents Waste Tokens While Waiting for Tools

How Do You Secure 10,000 Autonomous AI Agents?

How Do Self-Improving AI Agents Actually Work?

Agent Skills Turn Engineer Judgment Into Files That Need an Owner

Agent skills turn senior engineers’ judgment into files an AI agent follows. Meta reports 10 hours of diagnosis cut to 30 minutes. Who reviews the skill?

AI Agent Verification: A Successful Action Is Not a Completed Task

An agent’s tool call can succeed while the incident continues. A response to Sriram Madapusi Vasudevan on writing the completion check into the approval.