A developer has detailed a methodology for building a fully offline, portable AI assistant that runs from a USB drive on an Apple M4 Mac mini with 16 GB RAM. The approach leverages llamafile and GGUF …
Mozilla AI's Mark Surman argues that the future of AI lies in enhancing human thinking rather than replacing it, as generative models have failed to meet expectations due to repetitive outputs, halluc…
Mozilla AI's experiments with its any-guardrail tool found that the open-source PIGuard model effectively detected indirect prompt injection attacks on the email and tabular portions of Microsoft's BI…
Mozilla AI warns that large language model costs can spiral unpredictably due to tokenomic pricing, where verbose prompts, user behavior, and retry loops multiply expenses without code changes. The bl…
Mozilla AI released Llamafile 0.10.4, introducing Transcribefile built on the Transcribe.cpp speech-to-text inference library that supports 16+ TTS models. The update also includes improvements to Vul…
Open models have reached impressive capability levels, but the surrounding platform infrastructure—including tool calling, streaming, file handling, web search, code execution, prompt caching, and tok…
Mozilla AI's Otari team argues that the next era of enterprise AI is about infrastructure, not models, citing fragmentation, cost opacity, and governance gaps as key challenges. The team predicts that…
Ternlight, a 7 MB embedding model using ternary quantization and WebAssembly, enables fully client-side semantic search in browsers, bypassing server round-trips and API costs. The model runs locally …
Mozilla AI has expanded its encoderfile project to support image classification, allowing vision models to run as standalone executables without Python or serving infrastructure. The update includes p…
Mozilla.ai has released a new integration allowing developers to route OpenCode AI coding sessions through the Otari Gateway for real-time cost tracking, token usage monitoring, and budget enforcement…