That's why OpenAI's push to own the developer ecosystem end-to-end matters in26. "End-to-end" here doesn't mean only better models. It means the ...

Familiarity with basic networking concepts, configurations, and Python is helpful, but no prior AI or advanced programming ...

Today, we are releasing new research on detecting backdoors in open-weight language models. Our research highlights several key properties of language model backdoors, laying the groundwork for a ...

Ollama makes it fairly easy to download open-source LLMs. Even small models can run painfully slow. Don't try this without a new machine with 32GB of RAM. As a reporter covering artificial ...

Abstract: Federated learning is a new distributed machine learning paradigm that enables collaborative training while preserving user data privacy. However, data heterogeneity remains a critical ...

The most popular trusted model context protocol (MCP) servers on the Web today contain severe cybersecurity vulnerabilities. The Internet of AI forming all around us is growing larger and more ...

Microsoft has moved its Model Context Protocol (MCP) support for Azure Functions to General Availability, signaling a shift toward standardized, identity-secure agentic workflows. By integrating ...

Running large language models (LLMs) locally has gone from “fun weekend experiment” to a genuinely practical setup for developers, makers, and teams who want more privacy, lower marginal costs, and ...

DeepSeek debuted Manifold-Constrained Hyper-Connections, or mHCs. They offer a way to scale LLMs without incurring huge costs. The company postponed the release of its R2 model in mid-2025. Just ...

What if you could harness the power of innovative artificial intelligence without relying on the cloud? Imagine running advanced AI models directly on your laptop or smartphone, with no internet ...