What “human in the loop” is supposed to mean
Human in the loop is a named person, a written task, and a record of the judgement – not a slogan on a slide next to an unsupervised pipeline.
Your eval set is probably leaking into training
If the same people, prompts, or clips sit in training and eval, every graph will look like progress. Held-out human evaluation has to be a different dataset with different rights.
Synthetic data is a tool. It is not a human baseline.
Synthetic data scales a pipeline. It cannot replace consented human capture where diversity, provenance, and ground truth still have to come from people.
Read speech is not how your customers talk
Read speech is cheap and clean. Spontaneous speech is how people talk to products. A speech dataset spec has to choose, on purpose, or your WER will lie.
What is egocentric data in physical AI?
Egocentric data is first-person capture of a person doing a real task – the viewpoint a robot or wearable policy actually needs, not a third-person demo.
Why Good AI Data Collection Starts With People
When we talk about AI data collection, it’s easy to focus on technology. Cameras, recording devices, platforms, file formats, annotations
AI Data Collection: It’s Not About Collecting More. It’s About Collecting What Matters.
The AI industry needs enormous amounts of data. But as models become more sophisticated, simply collecting more isn’t necessarily the
AI Data Collection: Why the Right Data Starts With the Right Brief
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Why Egocentric Data Could Be Key to Physical AI
AI has become incredibly good at understanding text, images and video. But the next challenge is different: understanding how humans