CIO

Why Model Context Protocol is suddenly on every executive agenda

As AI agents begin operating across enterprise systems, MCP is emerging as the connective layer IT leaders can’t afford to ...
The Burlingame B

Computer science industry evolves with vibe coding

In February 2025, OpenAI co-founder Andrej Karpathy coined the term “vibe coding.” Vibe coding refers to using AI to assist ...
The RegisterOpinion

Indie web browser Ladybird flutters toward Rust with a little help from AI

Ladybird started out as the built-in native web browser of the Serenity OS project, which we tried out and wrote about in ...
InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
Security Boulevard

Zero Trust Infrastructure for Multi-LLM Context Routing

Learn how to secure multi-LLM context routing with Zero Trust and Post-Quantum cryptography. Protect MCP deployments from tool poisoning and prompt injection.

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...