Essays that connect cognitive neuroscience concepts such as goal neglect and prediction to the failures of current AI systems, especially long-running agents and voice AI. Each piece pairs a conceptual argument with concrete technical examples from recent research and engineering practice.

Avi Builds is a practical newsletter for engineers shipping production AI features, covering reliability, evals, RAG, routing and fine-tuning. Recent issues explain how to move voice AI pipelines onto Australian infrastructure and how to avoid biased or inconsistent LLM-as-a-judge evaluations.

Practical guides for people seeking work as AI trainers and domain experts on platforms like Mercor, micro1 and RWS. It covers screening job listings, preparing for assessments, judging voice AI quality, and weighing income stability, and promotes a paid tier and a job-matching tool.

Rapida's blog covers engineering and product lessons from building production voice AI, including how LLM latency metrics such as time to first token affect perceived responsiveness in live calls. It also shares an essay on why binary pass/fail evaluations with short commentary worked better than multi-criteria scoring for an AI coaching product.