OpenAI has recently published a detailed architecture description of the Codex App Server, a bidirectional protocol that decouples the Codex coding agent's core logic from its various client surfaces.
Gabriel Gomes built an agent that turns plain English into physical experiments, enabling research that humans alone could never sustain ...
Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or ...
Managing these challenges requires a multidisciplinary approach that spans behavioural insights, technical safeguards, and organisational systems. Generative AI should be embraced not as an oracle but ...
A diagnostic insight in healthcare. A character’s dialogue in an interactive game. An autonomous resolution from a customer service agent. Each of these AI-powered interactions is built on the same ...
The hyperscalers were quick to support AI agents and the Model Context Protocol. Use these official MCP servers from the major cloud providers to automate your cloud operations.
As OpenAI removed access to GPT-4o in its app on Friday, people who have come to rely on the chatbot for companionship are mourning the loss all over the world.
Google says adversaries are now “increasingly leveraging generative AI across multiple stages of the attack lifecycle,” from researching targets to drafting phishing messages and troubleshooting ...
Chinese models are breathing down the necks of their US counterparts, but they may be getting assistance in their creation from the ...
In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...
ComputerUser on MSN
OpenAI reveals a simple way to let big companies make AI agents of their own
OpenAI is expanding its enterprise offerings with a platform that lets companies build, deploy, and manage their own AI ...
The Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
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