Egocentric Data: Teaching AI to See the World Through Our Eyes
Artificial intelligence has learned to read, write, see and listen. Now it needs to learn how to act in the […]
Artificial intelligence has learned to read, write, see and listen. Now it needs to learn how to act in the […]
For the past few years, much of the AI conversation has focused on models. Who has the largest model? Who
AI models are becoming more capable at an extraordinary pace. But as their capabilities grow, so does the difficulty of
The first generation of modern AI benefited enormously from data available at scale. Text, images, audio and video helped models
When people talk about AI training data quality, the conversation often focuses on what happens after a dataset has been
The AI industry is constantly looking for more data. More video, more audio, more conversations, more human behaviour and more
Artificial intelligence is advancing at extraordinary speed. Models can write, reason, see, listen and increasingly interact with the physical world.
For years, the AI industry has been obsessed with scale. More parameters. More compute. More data. And there is little
Artificial intelligence has an extraordinary appetite for data. Every new model, capability and application creates another requirement. More video. More