Collecting robot training data is dirty, unglamorous work. Some AI labs are already paying XDOF to do it
Startup XDOF has raised $70 million to address the critical shortage of high-quality training data for robotics. The company aims to build the infrastructure needed to teach AI models how to interact with the physical world.
Why it matters
The transition from language-based AI to physical robotics is considered the next major frontier in technology, requiring entirely new data collection methods.
Two weeks ago, OpenAI said it would relaunch the robotics program it shuttered in 2021 — the latest signal that the biggest AI labs are racing to teach machines to operate in the physical world. But building capable robots requires something the AI industry doesn t yet have, which is the training data to match that used for language models.
The article is a standard industry report on a startup funding round and the technological challenges of the sector.
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