A Baconian approach to the mostly Aristotelian corporate AI. And what that means for your business
TL;DR
Large language models are powerful reasoning machines, but Fast Company argues that reasoning alone is not enough for enterprises. What companies need are systems that act, observe the consequences of their actions and learn from reality in real time. The piece contrasts this Baconian approach with the more Aristotelian thinking behind current enterprise AI. The freely accessible excerpt names no products, metrics or case studies, so the argument stays at the level of principle.
Nauti's Take
The distinction has a practical advantage as a planning grid: sorting pilots by whether a system merely answers or also acts and measures the consequences quickly reveals which use cases have a feedback channel at all. The limit is the evidence base, because the piece argues at the level of principle and names neither products nor metrics.
For small teams the first step is to establish what feedback signal an agent actually receives before budget goes into autonomy.
Sources
