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 ...

7 AI coding techniques that quietly make you elite

What separates casual vibe coders from elite builders? It's not better prompts. It's systems. Here's the exact framework I use to keep AI projects production-ready.

Quantum computers go high-dimensional with a four-state photon gate

The collaboration of TU Wien with research groups in China has resulted in a crucial building block for a new kind of quantum ...

Guide Labs debuts a new kind of interpretable LLM

The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
PCMag

Job Listing Suggests Future Intel CPUs Could Return to a Unified Core Design

Returning to a unified core design would give Intel extra room on the chip for more performance cores, but it would be a ...

Bringing quantum ideas to the messy world of disordered proteins

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...