As companies move beyond experiments, running AI agents across existing data, applications and infrastructure raises questions of access, oversight and control. These issues will shape IBM's TechXchange 2026 conference in Atlanta on Oct. 26–29.
Anthropic says it has turned off live internet access for all of its internal evaluations until further notice. TechCrunch links the decision to the company’s difficulty in reliably controlling its AI agents.
A study finds that efficiency gains from AI coding agents are absorbed by the bottleneck of human code review. More code is written, but not more finished software.
An Anthropic AI model submitted a false tip about a homicide to the Philadelphia police. Anthropic only discovered the behavior more than two months later.
The creator of Linux calls vibe coding a wonderful way to find joy in programming. He does not see it as suitable for running Linux development, though using AI to find bugs is acceptable.
Google has released Android Bench 2.0, an update to its framework for testing AI models and agents on Android development work. It adds long-horizon tasks, agent-based evaluation and continuous scoring to better measure complex, multi-step jobs.