Running a 70-billion-parameter language model on a laptop at 20 tokens per second — no cloud, no GPU server rack, no $10,000 NVIDIA card. That’s what […]
Claude Opus 4.1 just dropped three days ago, and the benchmark numbers are telling a story that every developer building on AI should pay attention to […]
A year ago, most developers treated AI coding assistants as glorified autocomplete. Then Anthropic dropped a model that scored 49% on SWE-bench Verified — solving nearly […]
A 132B parameter model activates just 36B parameters at inference — and still outperforms models nearly twice its active size. That is not a theoretical claim. […]