Expert Opinion
Cloud AI pricing changed fast in 2026. This post looks at why more teams are moving back to local models, the tradeoffs behind tools like Ollama and LM Studio, and why portability and ownership are becoming bigger concerns for developers.
Expert Opinion
The future of AI may not be agents using today’s apps. It may be apps rebuilt around structured representations agents can inspect, modify, and validate directly. The deck, doc, or dashboard becomes the output, not the source of truth.
Expert Opinion
Sovereign AI shows up across nations, companies, communities, and individuals. This piece, based on a conversation with John Dickerson, CEO at Mozilla.ai, looks at control over AI systems, avoiding single points of failure, and building with modular, swappable components.
Expert Opinion
The State of AI report from OpenRouter and a16z offers valuable insight into API-based model usage. But many small models run locally on CPUs and consumer GPUs, outside managed services. This finding, however, warrants critical examination.
Expert Opinion
Remember early 2025? "Vibe coding" was a meme and seemed mostly a tool for casual builders or those new to coding. It's now 2026, and we find ourselves living in a new reality. Industry leaders like DHH, Karpathy, and Lutke are publicly embracing AI-generated code controlled by human prompting.
Expert Opinion
After OpenAI’s ChatGPT release, the default standard for communication was the OpenAI Completion API. However, with the new “reasoning models”, a critical piece of the output isn’t handled by that OpenAI specification, leaving each provider to decide how to handle the new model capabilities.
Expert Opinion
Imagine you could effortlessly navigate the universe of LLMs, always knowing which one is the perfect fit for your specific query. Today, this is a very difficult challenge. So, how do you efficiently manage and use LLMs for various tasks? This is where LLM Routing emerges as a crucial strategy.
Expert Opinion
We are witnessing explosive growth in the development of artificial intelligence (AI) applications across various industries, from virtual agents to healthcare diagnostics and autonomous driving.
Expert Opinion
At the TAUS Massively Multilingual AI conference in Rome, I had the honor of moderating a panel on Multilingual AI provocatively titled “No English Please - How to move towards truly multilingual AI”. In this panel, we explored the pressing need for AI to transcend linguistic barriers and embrace global diversity.
Expert Opinion
Since our start last year, our key focus has been exploring state-of-the-art methods for evaluating and fine-tuning large-language models (LLMs), including continued open-source LLM evaluation experiments and establishing our GPU cluster’s infrastructure.
