Tests that once challenged advanced AI models are now being solved with ease, making it harder for researchers to pinpoint what current systems are actually capable of.

AI’s economic, physical and moral limits are converging, reshaping growth, power and control. The debate over AI is often framed as a race toward ever greater capability. Faster chips. Bigger models.

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

A new test of ChatGPT Health tools revealed an integration flaw that produces inconsistent health grades. The report highlights risks associated with using AI to analyze wearable data without medical ...

Ezanne Grobler, Head of Quality Assurance competency, iOCO. iOCO has launched one of the first locally developed ISTQB-aligned AI testing e-learning courses in South Africa, to upskill quality ...

After announcing in October, NotebookLM has fully rolled out chat history, while Google AI Ultra subscribers now have expanded usage limits. Chat history lets you continue a conversation from the web ...