News

IEEE Spectrum on MSN21h
Google Succeeds With LLMs While Meta and OpenAI Stumble
But strong new LLMs from Google, and misfires from Meta and OpenAI, are shifting the vibe. Llama 4 herd gets off on the wrong hoof. News of Llama 4‘s release unexpectedly came o ...
Can Quantum-Inspired AI Compete With Today’s Large Language Models?
As quantum-inspired methods enter the AI arena, companies like Dynex are developing alternatives to mainstream LLMs. What ...
Microsoft Releases Largest 1-Bit LLM, Letting Powerful AI Run on Some Older Hardware
Microsoft’s model BitNet b1.58 2B4T is available on Hugging Face but doesn’t run on GPU and requires a proprietary framework.
THE Journal3d
AI 'Microscope' Reveals the Hidden Mechanics of LLM Thought
Anthropic has introduced new research tools designed to provide a rare glimpse into the hidden reasoning processes of ...
Redmondmag.com4d
What Hardware Do You Need for Running LLMs on the Desktop?
Running large language models on your desktop depends as much on your accuracy needs as your GPU, and the key to performance ...
Tom's Hardware on MSN4d
Microsoft researchers build 1-bit AI LLM with 2B parameters — model small enough to run on some CPUs
Microsoft researchers developed a 1-bit AI model that's efficient enough to run on traditional CPUs without needing ...
Swapping LLMs isn’t plug-and-play: Inside the hidden cost of model migration
Based on hands-on comparisons and real-world tests, this guide unpacks what happens when you switch from OpenAI to Anthropic or Google’s Gemini and what your team needs to watch for.