Different AI models win at images, coding, and research. App integrations often add costly AI subscription layers. Obsessing over model version matters less than workflow. The pace of change in the ...

Big quote: Sundar Pichai now talks about vibe coding in the same breath as blogging and YouTube – not as a metaphor for hype but as evidence that software creation is slipping further out of engineers ...

Blake has over a decade of experience writing for the web, with a focus on mobile phones, where he covered the smartphone boom of the 2010s and the broader tech scene. When he's not in front of a ...

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

AI is increasing both the number of pull requests and the volume of code within them, creating bottlenecks in code review, integration, and testing. Here’s how to address them. AI is dramatically ...

Coinbase CEO Brian Armstrong was the recipient of some very bad vibes last week after bragging on X that nearly half his exchange’s code is already AI-generated, with plans to push it higher. The post ...

xAI says the new AI coding model was built on a new architecture It is said to excel at TypeScript, Python, Java, Rust, C++, and Go Grok Code Fast 1 achieved 70.8 percent on the SWE-Bench-Verified ...

Aug 28 (Reuters) - Elon Musk's artificial intelligence startup, xAI, on Thursday released a new "speedy and economical" agentic coding model, marking its entry into a key focus area for AI companies.

GitHub has expanded its Copilot coding agent with a new agents panel, giving Visual Studio and VS Code users a centralized way to launch and track AI-driven coding tasks directly alongside their ...

Documents examined by researchers show how one company in China has collected data on members of Congress and other influential Americans. Documents examined by researchers show how one company in ...

Video surveillance is crucial for various applications, including unmanned aerial vehicle operations, flight safety monitoring, social security management, industrial safety, and criminal detection.

As AI makes software development accessible to all, security teams face a new challenge: protecting applications built by non-developers at unprecedented speed and scale. Just as the smart phone made ...