Nearly every week, the headlines about AI are dominated by the news of the latest model. A few days ago, Meta announced its newest model called Muse Spark – its first under its revamped AI division. According to their internal benchmarking tests, the new model is competitive with leading rivals across several tasks.
However, each new model release reveals something counterintuitive: as more models flood the market, the more they become commodities. If that’s the case, then the question becomes: what is the differentiator for businesses trying to adopt and scale AI?
The answer comes down to one word – trust.
Over time, the model that sits on your desk is going to matter less than the trusted, connected intelligence that feeds into it. I think of connected intelligence as curated data drawn from multiple, organized sources. As a result, an AI model can reason across all of the data at once rather than working from a single, incomplete picture.
Here’s another wa
We współpracy z: https://fortune.com/2026/04/16/moodys-ceo-rob-fauber-ai-trust-problem/
