Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
Two new models from Chinese firms compete with top US mainstream and frontier models. Should cyber-defenders be worried?
XDA Developers on MSN
Local LLMs finally beat cloud AI for coding, automation, and brainstorming — here's which ones I use
There's always a local model that can replace your AI subscription ...
Smart speakers such as Alexa, Google Home, and Apple Home have transformed how people interact with technology, enabling ...
Attackers exploited Langflow vulnerability CVE-2025-3248 to conduct an agentic AI-powered ransomware attack involving reconnaissance, credential theft, and lateral movement.
They're not bad; they're just prompted that way. Sysdig threat hunters documented what they say is the first-ever documented ...
A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...
MotherDuck is launching Flights, an agent-native data pipeline that enables users to choose the MCP server and AI agent of their choice to build and deploy data pipelines in minutes using a flexible, ...
The original incomplete DeepSeek sample can be transformed into a fully functional attack with minimal effort,' Check Point researcher tells The Reg ...
"If we improve the code and we can all benefit from it, it's good for everyone," says Fenris's Ben Hunter, as he talks ...
NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...
AI agents waste massive cloud space, so block this bloat early with strict policy checks, illustrated using Terraform and ...
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