Experimentation

Opening — Why this matters now Everyone wants custom AI. Few want the invoices, GPU queues, brittle data pipelines, and endless hyperparameter arguments required to build it. Fine-tuning large language models remains one of the least glamorous bottlenecks in modern AI deployment. It is expensive, iterative, and strangely dependent on whoever in the room has the strongest opinions. ...

Opening — Why this matters now Everyone wants cheaper A/B tests. Preferably ones that run overnight, don’t require legal approval, and don’t involve persuading an ops team that this experiment definitely won’t break production. LLM-based persona simulation looks like the answer. Replace humans with synthetic evaluators, aggregate their responses, and voilà—instant feedback loops. Faster iteration, lower cost, infinite scale. What could possibly go wrong? ...