Using Octonous as a Product Operations Manager

Discover how a Product Operations Manager uses Octonous to streamline daily workflows, from turning GitHub releases into newsletters to capturing competitor intel from Slack. Save hours on repetitive tasks and focus on the strategic work that really matters.

llamafile v0.10.5

llamafile v0.10.5 is out! Updated llama.cpp core support lets you run two huge models locally: the compressed 6GB Ternary Bonsai 27B and the fast 118B Laguna-S-2.1 coding MoE. This release also fixes docs and adds pre-built transcribefile speech-to-text binaries.

The Future of AI is Personal — But Not The Way You Think

AI’s future isn’t about replacing human thinking, but enhancing it. As AI agents evolve from simple assistants into deeply connected systems, control, privacy, and personalisation will shape the next era of AI. Mozilla AI is building towards a more open and user-controlled future.

How Frontier Labs Are Building Subtle Developer Lock-In

Frontier AI models are becoming more capable, but also more tightly coupled to proprietary state, memory and execution environments. This article explores what that means for developers building open, portable AI systems.

Who Cares About LLM costs?

Why would you worry about them? LLMs promise something close to infinite capability, and worrying about the meter feels like someone else's problem. Ship the feature. Let the model think as long as it needs to, right? Right. Until the bill arrives.  The shock Picture it: your best

Stop Chasing New Models. Build Once and Access Them All.

Swapping LLMs sounds simple, but managing separate SDKs, credentials, and billing turns model evaluation into an infrastructure headache. Otari solves this with a unified gateway, decoupling application logic from providers so teams can seamlessly route traffic, test new models, and control spend.

From Evaluation to Guardrails: What We Brought to ACM FAccT 2026

At ACM FAccT, we demonstrated why AI guardrails need the same scrutiny as models. Moving from static policies to context- and language-specific evaluations, our hands-on session proved that agentic guardrails equipped with tools like web search are vital for reliable, real-world deployment.

Open Models are ready for agents. Their APIs are not.

Open models have reached impressive levels of capability, but the surrounding platform often falls short. This blog explores the hidden infrastructure gaps developers face and why bridging them is essential for production-ready AI applications.

Using Octonous as an AI Safety Engineer

Discover how Octonous helps our team at Mozilla.ai cut through daily busywork, from automatically monitoring our libraries to staying on top of the latest developments in AI safety.

The Control Layer: Why the Next Era of AI Is About Infrastructure, Not Just Models

The Model’s the Easy Part - How to Get, and Keep, Value Here’s how I see the evolution of AI in enterprises over the last few years: * Autumn of 2022, the world thinks it’s going into a recession.  IT budgets are frozen for 2023. * November 30, 2022: ChatGPT

Introducing Otari: The Open-Source LLM Control Plane

If you are building LLM-powered applications today, you are probably managing multiple LLM providers, a pile of API keys, and your own logic for routing, budgets, and failovers. Accessing language models is no longer the challenge. Operating LLM infrastructure effectively is. Today, we are excited to launch Otari, the

Announcing transcribe.cpp

Meet transcribe.cpp, a new open-source C/C++ speech-to-text inference library with portable, GPU-accelerated support for multiple STT models. Developed through Mozilla.ai's Builders in Residence program, it makes adding fast, local transcription to applications easier than ever.