New offline logits caching and fused KL loss reduce VRAM overhead from 250GB to practical single-GPU levels, opening large-scale model compression to resource-constrained teams.
LinkedIn will keep compute spending flat through June 2027 after doubling GPU efficiency, bucking industry trend of aggressive infrastructure buildouts.
OpenAI released GPT-5.6 Sol, Terra, and Luna with stacked infrastructure optimizations aimed at balancing frontier intelligence with operational cost.
Two new encoder models from Liquid AI match larger baselines on GLUE and SuperGLUE while maintaining 8,192-token context and 3.7× CPU speed advantage over ModernBERT-base.
Alphabet is developing a custom AI accelerator designed to reduce per-token power consumption and reduce dependence on Nvidia's dominance.
A new benchmark reveals that cutting-edge vision-language models struggle with the messy, multimodal learning that infants master effortlessly.
Miami-based startup Subquadratic released third-party benchmarks for SubQ, its new model claiming 12x context scaling and lower energy consumption than existing LLMs.
Amsterdam-based payroll platform Remote reached $300M ARR and achieved 50% revenue-per-employee growth by embedding AI across all departments, not just engineering.
Allen Institute releases OlmoEarth v1.1, a more efficient earth-observation model family that maintains v1 performance while reducing compute through shorter token sequences.