The backbone of the VLA there is literally a pre-trained Gemma model. And a small one at that. You already downgraded your claims from "LLMs are irrelevant to

The backbone of the VLA there is literally a pre-trained Gemma model. And a small one at that. You already downgraded your claims from "LLMs are irrelevant to robotics" to a measly "you can't train a useful robotics LLM because there's not enough data". And you say that while looking at an LLM that was pre-trained on all of internet scraped and only then reused for robotics. Both the pool of robotics-relevant data and the performance of foundation model LLMs grow over time. All the companies that are serious about robotics are serious about scaling up data collection. I'm not going to claim that this "LLM core" approach is the best approach to AI robotics possible - but if you're betting on it failing outright, you're going to be fighting uphill.