Plug Me In: Why LLMs with Tools Beat LLMs with Size
TL;DR for operators The Athena paper is useful because it makes a simple operational point that many AI buying committees still manage to avoid: a bigger language model is not the same thing as a better workflow.1 An LLM can explain, infer, and format. It is still a poor substitute for a calculator, a live database, a calendar API, a search service, or a domain-specific computation engine. This is not a moral failure. It is just architecture. ...