Training on more data is not the same as training on better…

Training on more data is not the same as training on better data. Feed a model the whole internet and you do not get truth. You get an averaged sludge of repetition, fashion, error, propaganda, Reddit consensus, and regression to the mean.
Expert systems do not need to know everything. They need the right knowledge: specific corporate records, domain expertise, operational history, legal documents, technical facts, supply-chain data, engineering constraints, medical records, audit trails, and the lived knowledge of people who actually understand a field.
The future is not one giant model swallowing the world and vomiting out the median opinion.
It is specialised intelligence tied to verified knowledge, accountable sources, and narrow competence.
The last thing serious systems need is more Reddit.
Written by S. Tominaga