Indian AI startups, have been using open-weight models to build enterprise AI applications for some time. Mint explains why.

Proprietary and open-weight AI represent two competing approaches to building and commercialising artificial intelligence.

GitHub secret scanning now extends beyond org-owned repositories: Public Monitoring scans all of GitHub.com in real time, ...

Everything you need to know about how we analyzed the 13,000+ comments submitted in the federal government’s request for ...

OpenAI API costs can spiral when agents run wild. Here's how to set spend limits, enable hard caps, and avoid surprise AI ...

Learn how to build a second brain using Claude and Obsidian to create a persistent, local AI memory that remembers your ...

An examination of the trade secret risks posed by the integration of generative AI (GenAI) and agentic AI into core business ...

GSTN's revised implementation timeline gives businesses more time to prepare systems, master data and compliance processes.

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

The federal regulation of open banking in the United States has been in an extraordinary state of limbo. The Consumer Financial Protection ...

AI API Gateway that connects developers to more than 200 AI models through a single OpenAI-compatible endpoint. The platform removes the integration overhead traditionally associated with working ...

Developer Fernando Irarrázaval's AI agent experiment drew over 6,000 hack attempts from more than 2,000 attackers. No one ...