Google AI breakthrough shows why we don't need more data centers

That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center ...

Welcome to a Multidimensional Economic Disaster

Trillions of dollars are being invested into the technology and the infrastructure it relies on; in the final months of 2025, ...

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
IEEE

SSFT: Algorithm and Hardware Co-design for Structured Sparse Fine-Tuning of Large Language Models

Abstract: A significant number of users depend on Large Language Models (LLMs) for downstream tasks, but training LLMs from scratch remains prohibitively expensive. Sparse finetuning (SFT) has emerged ...