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A software engineer and AI builder with experience across AI-development, LLM applications, RAG systems and cloud infra
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Consider this a belated PSA: A recent change to Google’s privacy settings is allowing the company to store more of your data, including media such as “images, files, and audio and video recordings,” to improve its AI models. In other words, if you upload any media to Google’s
The first half of 2026 has been a blur for application security. Agentic AI has moved from experiment to expectation, reshaping how software is written, reviewed, attacked, and defended. Across security, engineering, and executive teams, many are still trying to grasp what this shift really means in practice. As we
Lead story - In enterprise AI, the agent harness you choose matters more than the model Last week, I addressed reader pushback on my real-time organizational truth missive. I also unfurled something of a call to action: * Studies have shown that smaller models can reduce LLM operating costs by as
Organizations are increasingly adopting open-weight foundation models (FMs) to power production AI workloads, from agentic coding assistants to long-context document analysis. As these workloads move from experimentation to enterprise deployment, two requirements shape every model selection decision: the model must deliver the capabilities the workload demands, and the inference environment
