Hunting for individual vulnerabilities will get us nowhere, Anthropic argues. Instead, businesses should reduce accessible ...

This is written for those who use AI or LLM libraries in Python and haven't decided where to stop or how to detect when a ...

The coding agent I didn't know I needed ...

This week, updates related to "certificates" were released for Java, Node.js, Go, and Python respectively. While they may ...

ScholarEvolve uses published research to improve AI agents, raising Qwen's AppWorld task completion from 69% to 81.4% without retraining the model.

Unleash the full potential of "Crack everything" – the ultimate all-in-one solution to break through limitations, solve ...

Shanghai-based RoboParty has introduced the RP1 (ROBOTO 01), an open-source humanoid robot designed for robotics research, ...

Toku Ltd. (SGX: TKU), a Singapore-headquartered AI-powered customer experience (CX) platform, has launched Makimoto Flows ...

Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file.

Anthropic says reducing unnecessary access to code could address risks that individual vulnerability hunts may miss. Its ...

Nimble's Yuval Bertocchi explains how code turned collected web data into a complete result. His LDS interview examines the ...