Why did #Meta go in $14.3 billion on Scale AI? They're betting on data labelling. AI training sets can be incomplete, inaccurate, or offensive, so it's up to humans to fine-tune the models.

“We found a huge gap between what the human experts mentioned in an image, and what the machine learning model could recognize."

To train an expert AI, we still need human expertise. https://spectrum.ieee.org/data-labeling-scale-ai-agents?utm_source=mastodon&utm_medium=social&utm_campaign=fedica-Mastodon-Daily-Pipeline