Latent Space: The AI Engineer Podcast · Dyna-2: General Purpose Physical Agents with Hour-Long Autonomy - Jason Ma, Dyna Robotics
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insist on building hardware in-house and owning the full data pipeline, believing this yields better scaling than pure data-only approaches
“The cost of that is lowered to nearly zero, and you can build your own… you can add your own features… very attractive to say, maybe building my own is something that is better than buying off the shelf”
“If there is a good solution out there, we try to adopt it... if a tool cannot work at our scale we build our own, but we build it so we can adopt a better solution later.”
“We have over 700 million users, tens of exabytes of data... some of these tools cannot work at that scale. For example, we had to build our own search engine.”
“I started building the build pipeline stuff in about 2004.”
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